PREVALENCE OF ALCOHOL CONSUMPTION AND AWARENESS OF ITS HEALTH EFFECTS AMONG YOUNG ADULTS IN ZONKWA, ZANGON KATAF LOCAL GOVERNMENT AREA, KADUNA STATE
Author: Akau B.Z.
Abstract
Background: Alcohol is the most
common psychoactive substance abused in Nigeria and globally. Studies have
shown a sharp increase in alcohol consumption among adolescents and young
adults in Nigeria and around the globe. This increase is likely to continue due
to increased local production and the availability of alcohol in the country.
Alcohol use among adolescents and young adults remains a significant public
health problem worldwide. Knowledge of the prevalence and awareness of the
health effects of alcohol use is necessary, considering the public health effects
of alcohol use.
Keywords: Young adults, Awareness, Prevalence,
Alcohol consumption, and Health effects
1.
Introduction
Achieving high health
standards is a fundamental human right, irrespective of race, religion,
culture, or social condition. It is necessary for stability and security, and
it is also essential for advancement to have sound medical knowledge.1 The natural
fermentation of sugars and starches yields alcohol, a psychoactive drug with
addictive qualities. It is a colorless, flammable, volatile liquid used in many
products, including explosives, household cleaners, medicines, solvents, and
intoxicants. Alcohols are water-derived substances that are used in sweeteners
and fragrances.2-5 Numerous cultures have consumed alcohol for thousands of
years; it first appeared in northern China around 7000 B.C. It was consumed
during festivals, celebrations, and religious settings as a source of calories
and because it was so nutritious. Alcohol was thought to boost immune systems,
treat and prevent illnesses, and promote general health. The first modern
temperance movement began in England in the 16th and 17th centuries because of
excessive alcohol use. Alcohol was eventually decriminalized in 1933, but
despite the level of awareness of its harmful effects, excessive drinking is
still a significant issue today.6-8
2.1. Study
Area
This study was conducted in Zonkwa, the
headquarters of Zangon Kataf LGA, Kaduna State. Zonkwa is the Bajju Chiefdom's
administrative center and also one of its districts. Zonkwa town has an
estimated population of 35,749 as of the 2006 census. The projected population
in Zonkwa stood at 40,282 in 2020. The indigenous and predominant ethnic group
in the town is the Bajju people. Other ethnic groups found in Zonkwa include
the Atyap, Anghan, Ikulu, Igbo, Hausa, Yoruba, and other Nigerian peoples.20 Zonkwa
as a district is divided into six (6) areas: Zonkwa Central (Zonkwa town),
Kurmin Bi, Fadiya, Zuturung, Zagom, and Fadan Kaje. Each area is divided into
several sub-areas, also known as ungwas. Zonkwa Central has thirty (30) ungwas,
Kurmin Bi has fifteen (15) ungwas, Zuturung has eleven (11) sub-areas, Fadiya
has sixteen (16) sub-areas, Zagom has nine (9) sub-areas, and Fadan Kaje has
seven (7) sub-areas, thereby making a total of eighty-eight (88) ungwas in the
entire district.21
2.2 Study Design
2.4
Inclusion Criteria
2.5
Exclusion Criteria
2.6 Sample
Size Determination
The sample size for this study was
determined using the formula:
n = Z2pq/d2
Where,
d = degree of accuracy desired at a 95% confidence interval of 5% = 0.05
d = degree of accuracy desired at a 95% confidence interval of 5% = 0.05
2.7 Sampling Technique
A multi-stage sampling technique was used to select the
study sample.
Stage
1: Selection of a District Four (4) districts were identified in the Bajju Chiefdom:
Zonkwa District, Madakiya District, Ungwan Rimi District, and Farman District.
Zonkwa District was selected from among these districts using purposeful
sampling, a non-probability sampling technique.
Stage
2: Selection of Areas According to the background data for the study area, six
(6) areas were found in the Zonkwa District. By simple random sampling, only
one (1) area (Zonkwa Central) was selected (by balloting without replacement).
Stage
3: Selection of ungwas A total of thirty (30) ungwas were
identified in the chosen area (Zonkwa Central), and ten (10) ungwas were
selected using a simple random sampling method.
Stage
4: Selection of streets The lists of all avenues in each of the selected ungwas
were obtained from the heads of the ungwas, and a total of eighty-four (84)
streets were identified (as presented in Table 3.1 below). Based on their share
of the total number of avenues (per Ungwa), two-fifths (or 40%) of the
identified streets were chosen using the stratified random sampling technique.
No. of streets in a selected Ungwa x 40%/total number of
streets in all the selected ungwas (84)
A
total of 34 streets were selected.
Stage 5: Selection of houses: House lists in each of the selected streets were obtained from the heads of the ungwas, and 2,193 homes were identified and line-listed. At an interval of 5, four hundred and six (406) homes were chosen at a standard sampling interval of 5, using systematic random sampling methods. The formula below was used to calculate the sampling interval:
Sampling interval = total number of houses (2,193)/sample size (406)
Stage
6: Selection of households A total of 3,049 families were identified from the
406 houses selected. The number of households per house ranged from 1 to 12.
Out of these 3,049 identified households, 2,232 were identified as having
eligible young adults. Using systematic sampling at five (5) regular sampling
intervals, four hundred six (406) households with young adults who met the
inclusion criteria were chosen. The sampling interval was determined using the
formula below:
Sampling interval = total number of identified households (2,232)/sample size
(406)
Stage
7: Selection of Participants One eligible young adult was selected by a simple
random sampling technique from each selected household to participate in the
study.
2.8 Instruments
for Data Collection
The information was gathered using an interviewer-administered, pre-tested, standardized questionnaire. Before data collection, a pre-test questionnaire was conducted with 37 young adults (10% of the total sample size) in Ungwan Boro, Kaduna, Kaduna State. Responses from the pre-test were utilized to modify the questionnaire. The questionnaire was developed using an analysis of the literature on studies that were comparable to this one.12,23-28 Questions were conceived and prepared to meet the goals of this study. The questionnaire was split into four parts. Section (A) contains information on the socio-demographics of the respondents; Section (B) discusses the level and pattern of alcohol consumption among respondents; Section (C) assesses public awareness of the harmful effects of alcohol consumption on health; and Section D discusses the elements that influence alcohol consumption.
2.9 Data Collection
Data collection was done using the Kobo Toolbox. Three
(3) research assistants were trained to use the app and administer the
questionnaires to the participants. The researcher and the assistants met with
the respondents at their various houses. The questionnaires were administered
verbally to the respondents after receiving their informed consent, and the
researcher and assistants filled them out using the Kobo Toolbox.
2.10 Data Analysis
The data were analyzed using the Statistical Package for
Social Science (SPSS version 26). Frequency tables were employed to show the
results of the analysis. The chi-square (x2) and Fisher's exact tests were used
to determine the relationship between the variables. The level of statistical
significance was established at a 0.05 p-value. For continuous variables, means
and standard deviations were calculated. In percentage form, the rates were
stated. One mark was given for each correctly answered question about the
effects of alcohol on health. Zero points were awarded for incorrect or "I
don't know" answers. Scores were totaled, and those who achieved less than
half (< 50%) were deemed to have poor awareness, while those who scored half
or more (≥ 50%) were considered to have a good understanding.
2.11 Ethical Consideration
The study received approval from the Barau Dikko Teaching Hospital (BDTH) Health Research Ethical Committee and the Chief of Zonkwa District (Mr. Musa Gaiya), heads of ungwas, and household heads. The confidentiality and anonymity of the responses provided by the respondents were assured, and participation was entirely voluntary.
3.
Results
A total of 406 questionnaires were administered.
Socio-demographic Characteristics of
the Respondents
Table 3.1: Socio-demographic characteristics of the
respondents (n = 406)
Variables |
Frequency |
Percentage
(%) |
Age (years) |
||
15-17 |
189 |
46.6 |
18-19 |
91 |
22.4 |
20-21 |
47 |
11.6 |
22-24 |
79 |
19.5 |
Sex |
||
Male |
232 |
57.1 |
Female |
174 |
42.9 |
Tribe |
||
Bajju |
148 |
36.5 |
Kataf |
46 |
11.3 |
Jaba |
33 |
8.1 |
Ikulu |
14 |
3.4 |
Kamantan |
13 |
3.2 |
Kagoro |
13 |
3.2 |
Koro |
11 |
2.7 |
Chawai |
11 |
2.7 |
Tribes non-indigenous to Kaduna State (Igbo, Yoruba, Ngas,
Esan, Igala, Tiv, and Idoma) |
65 |
16.0 |
Others (Attakar, Adara, Kurama, Kahugu, Hausa, Ninzon,
Kagoma and Gbagi) |
52 |
12.8 |
Religion |
||
Christianity |
384 |
94.6 |
Islam |
22 |
5.4 |
Marital status |
||
Single |
385 |
94.8 |
Married |
21 |
5.2 |
Currently schooling |
||
Yes |
315 |
77.6 |
No |
91 |
22.4 |
Highest level of education |
||
Junior Secondary |
52 |
12.8 |
Senior Secondary |
252 |
62.1 |
Tertiary (BSc, NCE, Polytechnic, etc.) |
102 |
25.1 |
Engaged in any kind of occupation/work |
||
Yes |
136 |
33.5 |
No |
270 |
66.5 |
Total |
406 |
100.0 |
Types of occupation n= 136 (Multiple responses were allowed) |
||
Civil servant |
10 |
7.4 |
Farming |
25 |
18.4 |
Trading |
49 |
36.0 |
Artisans (hairdressing, tailoring, painting, carpentry,
make-up artist, etc.) |
71 |
52.2 |
Monthly income - |
|
|
N0- N9,999 |
33 |
24.3 |
N10,000- N19,999 |
27 |
19.9 |
N20,000-N29,999 |
16 |
11.8 |
N30,000-N39,999 |
12 |
8.8 |
N40,000-N49,999 |
10 |
7.4 |
N50,00-N59,999 |
4 |
2.9 |
N60,000-N69,99 |
5 |
3.7 |
≥ N70,000 |
29 |
21.3 |
Total |
136 |
100.0 |
Prevalence, Types, and Patterns of Alcohol Consumption Among Respondents
Table 3.2: Prevalence of alcohol
consumption among respondents (406)
Variables |
Frequency |
Percentage (%) |
Lifetime drinkers (ever drank alcohol) |
||
Yes |
153 |
37.7 |
No |
253 |
62.3 |
Current drinkers (consumed alcohol within
the last 12 months) n = 153 |
||
Yes |
125 |
81.7 |
No |
28 |
18.3 |
Time of last alcohol consumption (n = 153) |
||
Within the last seven (7) days |
67 |
43.8 |
Within the last eight (8) to thirty (30) days |
34 |
20.9 |
Within the last > one (1) to twelve (12)
months |
24 |
15.7 |
Above one year |
28 |
18.3 |
Total |
153 |
100.0 |
More than one-third (37.7%) of the respondents have ever
consumed alcohol in their lifetime, while 62.3% affirmed not having ever used
alcohol before. The majority (81.7%) of the lifetime (ever) drinkers declared
themselves to be current drinkers (i.e., they have consumed alcohol within the
past 12 months). About 43.8% of the current drinkers affirmed drinking within
the last seven (7) days, 20.9% reported drinking within the previous thirty
(30) days, and 15.7% within the last 12 months. About 18.3% drank alcohol over
one year ago.
Table 3.3: Types of alcoholic beverages
consumed by respondents (n = 153)
Variables
|
Frequency |
Percentage (%) |
Categories of alcohol consumed
by respondents (Multiple responses
were allowed) |
||
Only bottled alcohol |
94 |
61.4 |
Only local brew |
15 |
9.8 |
Both |
44 |
28.8 |
Types of alcoholic
beverages consumed by respondents (Multiple responses
were allowed) |
||
Beer |
115 |
75.2 |
Spirit |
47 |
30.7 |
Wine |
78 |
51.0 |
Local alcoholic
beverages |
59 |
38.6 |
Types of local
alcoholic beverages consumed (n = 59) (Multiple responses
were allowed) |
||
Burukutu |
8 |
13.6 |
Pito |
20 |
33.9 |
Palm wine |
57 |
96.6 |
Ogogoro |
2 |
3.4 |
Types of alcoholic
beverages consumed the most |
||
Beer |
80 |
52.3 |
Spirit |
23 |
15.0 |
Wine |
15 |
9.8 |
Burukutu |
1 |
0.7 |
Pito |
3 |
2.0 |
Palm wine |
31 |
20.2 |
Total |
153 |
100.0 |
Table 3.4: Patterns of
alcohol consumption among respondents (n = 153)
Variables
|
Frequency |
Percentage (%) |
Age at initiation of alcohol consumption in
years |
||
7-12 |
30 |
19.6 |
13-19 |
106 |
69.3 |
20-23 |
17 |
11.1 |
Duration of alcohol consumption (years) |
||
0-2 |
71 |
46.4 |
>2-4 |
43 |
28.1 |
> 4 |
39 |
25.5 |
Frequency of alcohol consumption |
||
Daily |
16 |
10.5 |
2-3 times per week |
19 |
12.4 |
4-6 times per week |
4 |
2.6 |
Weekly |
32 |
20.9 |
Monthly |
23 |
15.0 |
Occasionally (once in more than a month
interval) |
59 |
38.6 |
Total |
153 |
100.0 |
No. of bottles consumed at a sitting (n =
138) |
||
1-2 |
45 |
32.6 |
3-4 |
45 |
32.6 |
5 and above |
48 |
34.8 |
Total |
138 |
100.0 |
*No. of calabashes (of local alcohol) consumed at a sitting (n = 59) |
||
1-2 |
20 |
33.9 |
3-4 |
30 |
50.8 |
5 and above |
9 |
15.3 |
The average age at initiation of alcohol
consumption among the respondents who drink is 15.27 years, ± 3.097 SD, with
extremes of 7 and 23 years. Almost half of the drinkers (46.4%) said they had
used alcohol for 0-2 years, followed by those who had used it for 2-4 years
(28.1%). Over one-third (38.6%) of them affirmed that they drink occasionally.
Only 10.5% of drinkers consume alcohol daily. Over one-third (34.8%) of the
respondents who consume commercially brewed alcoholic beverages affirmed that
they drink five (5) or more bottles at a sitting. Half (50.8%) of the
respondents who consume local alcoholic beverages declared they drink 3–4
calabashes on average.
Table 3.5: Reasons for abstaining from alcohol consumption (n = 253)
Variables |
Frequency |
Percentage (%) |
Reasons for
abstaining from alcohol consumption (multiple responses were allowed) |
||
It is against my religion |
69 |
27.4 |
None of my family members drinks |
58 |
22.9 |
Alcohol makes one misbehave |
118 |
46.6 |
It is against my moral standards |
99 |
39.1 |
It labels one as bad a person |
48 |
19.0 |
Any intentions to
drink alcohol in the future |
||
Yes
|
3 |
1.2 |
No |
250 |
98.8 |
Reasons for having
intentions to consume alcohol in the future (n = 3) |
||
To avoid being lonely |
1 |
33.3 |
I want to stop thinking of some personal
problems |
1 |
33.3 |
Those who drink are always happy |
1 |
33.3 |
*Reasons for not
intending to consume alcohol in the future (n = 250) |
||
For health reasons and general well-being |
76 |
30.4 |
I want to maintain good moral standards |
37 |
14.8 |
It causes social disrepute |
61 |
24.4 |
Spiritual/religious convictions |
27 |
10.8 |
To preserve the future (and ensure
longevity) |
21 |
8.4 |
It ruins/harms life |
17 |
6.8 |
I want to contribute positively to the
society |
9 |
3.6 |
Others (I have not seen the benefit of
drinking; I am too young to consume alcohol, I want to live a pleasant life) |
4 |
1.6 |
Nearly half (46.6%) of the respondents who do
not consume alcohol affirmed that drinking alcohol makes drinkers misbehave,
while 27.4% declared that consuming alcohol is against their moral standards.
About 22.9% of the respondents also said they do not drink because none of
their family members do, and it also labels drinkers as bad. Almost all (98.8%)
of the respondents who do not drink alcohol affirmed that they have no
intention of drinking anytime in the future, with about one-third of them
(30.4%) reporting that they have no plans to drink for health reasons and
general well-being. Only three (1.2%) respondents who do not consume alcohol
plan to drink in the future because they do not want to be lonely, want to stop
thinking about their problems, and want to live happily.
Awareness of the Health Effects of Alcohol
Consumption by the Respondents
Table
3.6: Awareness of what alcohol is (n = 406)
Variables |
Frequency |
Percentage (%) |
A psychoactive substance (a substance that can affect the
brain) |
240 |
59.1 |
A substance that makes one more active |
106 |
26.1 |
A pain killer or reliever |
85 |
20.9 |
Others (a drink that can be harmful to the body and make
one sin against God) |
53 |
13.1 |
Most
of the respondents (59.1%) described alcohol as a psychoactive substance (a
substance that can affect the brain). About a quarter (26.1%) of them described
it as a stimulant, while 20.9% described it as a painkiller.
Table
3.7: Awareness of the health effects of alcohol consumption (n = 406)
Variables |
Frequency |
Percentage (%) |
Awareness that alcohol consumption has effects on health |
||
Yes |
389 |
95.8 |
No |
11 |
2.7 |
I don’t know |
6 |
1.5 |
Total |
406 |
100.0 |
Almost
all the respondents (95.8%) are aware
of the health effects of alcohol. Only 2.7% of them reported that
alcohol has no health effects, while 1.5% said they do not know about the
health effects of alcohol.
Table
3.8: Awareness of positive (beneficial) effects of alcohol consumption (n=406)
Variables |
Frequency |
Percentage (%) |
Awareness that alcohol consumption has beneficial effects |
||
Yes |
88 |
21.7 |
No |
262 |
64.5 |
I don’t know |
56 |
13.8 |
*Beneficial effects of alcohol consumption
mentioned by respondents (n = 88) |
||
It eases stress and provides peace of mind |
29 |
33.0 |
It provides happiness, pleasure, and fun |
36 |
40.9 |
It is used for medicine |
14 |
15.9 |
It provides energy and keeps one active |
18 |
20.5 |
It is used to maintain good health (such as digestion, the
heart, etc., and vision- related to palm wine) |
5 |
5.7 |
It relieves pain (including afterbirth pains in women) |
4 |
4.5 |
Others (it reduces sugar intake; it provides courage and
confidence, and it keeps the body warm) |
4 |
4.5 |
Almost two-thirds (64.5%) of the respondents affirmed
that alcohol has no beneficial effects on health. About 21.7% of respondents
reported that alcohol consumption has beneficial effects, while 13.8% did not
know. The most frequently cited benefits of alcohol, according to respondents,
are happiness, pleasure, and fun (40.9%), followed by stress relief and mental
clarity (33.0%). About 20.5%, 15.9%, 5.7%, and 4.5% said it gives energy and
keeps one active, is used for medicine, has health effects (such as digestion,
vision, and the heart), and relieves pain (including afterbirth pains in
women), respectively.
Table 3.9: Awareness of the
negative (harmful) effects of alcohol consumption (n=406)
Variables |
Frequency |
Percentage (%) |
Awareness that alcohol consumption has any harmful effect |
||
Yes |
342 |
84.2 |
No |
25 |
6.2 |
I don’t know |
39 |
9.6 |
The harmful effects of alcohol consumption reported by respondents (n = 342) |
||
It can harm body organs (the liver, brain, kidneys and
lungs) |
161 |
47.0 |
It can cause misbehavior and a lack of responsibility |
46 |
13.5 |
It can cause mental conditions (madness, loss of memory,
etc..) |
41 |
12.0 |
It causes sickness (vomiting, body weakness, diabetes,
stomach ulcer, skin rashes, etc.) |
45 |
12.6 |
It can cause violence (crimes, murder, etc.) |
23 |
6.7 |
It can cause early death (including suicide) |
18 |
5.3 |
It can cause poverty |
13 |
3.8 |
It can cause family conflicts |
15 |
4.4 |
It can cause mouth odor and toothache |
9 |
2.6 |
It can cause intoxication and road traffic accidents |
9 |
2.6 |
It can cause promiscuity (womanizing, prostitution) |
5 |
1.5 |
It causes social disrepute (loss of trust, loss of dignity, increased risk of unhealthy lifestyles) |
5 |
1.5 |
Others (it can cause low self-esteem, produce
arrogant people in society, etc.) |
17 |
5.0 |
Over two-thirds (84.2%) of the respondents
affirmed that alcohol consumption has harmful health effects. About 6.2%
reported that alcohol consumption has no harmful effects, while 9.6% did not
know. The most frequently mentioned negative effect was that it could affect
body organs such as the liver, brain, kidneys, and lungs (47.0%), followed by
the harmful effects of misbehavior and illness (13.5% and 12.6%, respectively).
Alcohol and the Body
Table 3.10: Awareness of the effects of alcohol consumption on the
liver (n = 406)
Variables |
Frequency |
Percentage (%) |
Awareness that alcohol has effects on the liver |
||
Yes |
376 |
92.6 |
No |
13 |
3.2 |
I don’t know |
17 |
4.2 |
*Specific effects of alcohol consumption on the liver (n = 376) |
||
Liver cirrhosis |
267 |
71.0 |
Alcoholic fatty liver disease |
106 |
28.2 |
Liver cancer |
161 |
42.8 |
(*Multiple responses were allowed).
The majority (92.6%) of the respondents are
aware that alcohol consumption has harmful effects on the liver. Only a few
(3.2%) respondents reported that alcohol consumption does not affect the liver,
while 4.2% did not know. The majority (71.0%) of the respondents who are aware
of the effects of alcohol on the liver affirmed that it affects the liver by
causing liver cirrhosis. About 42.8% knew it could cause liver cancer, while a
quarter (28.2%) knew it could cause alcoholic fatty liver diseases.
Table 3.11: Awareness of the effects of alcohol
consumption on the brain (n=406)
Variables |
Frequency |
Percentage (%) |
Awareness that alcohol consumption has effects on the brain (or mind) |
||
Yes |
383 |
94.3 |
No |
7 |
1.7 |
I don’t know |
16 |
3.9 |
*Specific effects of alcohol consumption on the
brain or mind (n = 383) |
||
Mental disorders |
330 |
86.2 |
Impaired memory (problems with remembering things) |
183 |
47.8 |
Difficulty in walking (due to intoxication or drunkenness) |
212 |
55.4 |
Slurred speech |
192 |
50.1 |
Almost all the respondents (94.3%) knew
alcohol consumption could affect the brain (or mind). Only a few (1.7%) respondents
reported that it does not affect the brain, while 3.9% did not know. Most
respondents (86.2%) who knew that alcohol consumption can affect the brain
reported that it causes mental disorders. About 55.4% and 52.1% of them
affirmed that it causes difficulty walking (due to intoxication) and slurred
speech, respectively. Less than half (47.8%) of them said it caused impaired
memory.
Table
3.12: Awareness of the effects of alcohol consumption on the kidneys (n=406)
Variables |
Frequency |
Percentage (%) |
Awareness that alcohol consumption has effects on the kidneys |
||
Yes |
280 |
69.0 |
No |
33 |
8.1 |
I don’t know |
93 |
22.9 |
*Specific effects of alcohol consumption on the kidneys (n = 280) |
||
It causes kidney failure |
239 |
85.4 |
Increases the risk of urinary tract infections |
101 |
36.1 |
Over two-thirds (69.0%) of the respondents are
aware that alcohol consumption has effects on the kidneys. About 22.9% said
they did not know, while only a few (8.1%) reported that alcohol consumption
does not affect the kidneys. The majority (85.4%) of the respondents who were
aware that alcohol consumption could affect the kidneys affirmed that it causes
kidney failure, and about one-third of them (36.1%) said it increases the risk
of urinary tract infections.
Table
3.13: Awareness of the effects of alcohol consumption on the heart (n=406)
Variables |
Frequency |
Percentage (%) |
Awareness that alcohol consumption has effects on the
heart |
||
Yes |
278 |
68.5 |
No |
46 |
11.3 |
I don’t know |
82 |
20.2 |
*Specific effects of alcohol consumption on the heart (n =
278) |
||
Heart attack |
174 |
62.6 |
Hypertension |
128 |
46.0 |
Stroke |
87 |
31.3 |
Arrhythmias (abnormal heartbeats) |
94 |
33.8 |
Over two-thirds (68.9%) of the respondents
knew drinking could affect the heart. About 19.9% did not know, while a
minority (11.9%) said alcohol consumption does not affect the heart. Almost
two-thirds (62.6%) of those who affirmed that alcohol consumption affects the
heart said it can cause a heart attack. Less than half of them reported that it
can cause hypertension (46.0%), while about one-third said that it can cause
arrhythmias (33.8%) and stroke (31.3%), respectively.
Table 3.14: Awareness of the health effects of alcohol
consumption on other body parts (n =406)
Variables |
Frequency |
Percentage (%) |
Awareness that alcohol consumption has effects on the heart |
||
Yes |
278 |
68.5 |
No |
46 |
11.3 |
I don’t know |
82 |
20.2 |
*Specific effects of alcohol consumption on the heart (n = 278) |
||
Heart attack |
174 |
62.6 |
Hypertension |
128 |
46.0 |
Stroke |
87 |
31.3 |
Arrhythmias (abnormal heartbeats) |
94 |
33.8 |
Less than half (46.8%) of the respondents are aware that alcohol consumption can affect other body parts aside from the liver, brain, kidneys, and heart. About one-third (30.5%) did not know, while 22.7% reported that alcohol consumption does not affect other body parts. Over two-thirds (67.4%) of those aware that alcohol consumption affects different body parts (aside from those mentioned above) affirmed that it can also affect the lungs. About 36.3%, 23.7%, 14.7%, 13.2%, 12.1%, and 4.2% declared that it can also affect the stomach, reproductive system, eyes, pancreas, bones, and skin, respectively.
Alcohol and some Disease
Conditions/Poor Health Outcomes
Table 3.15: Awareness of the effects of alcohol
consumption on diabetes mellitus (n = 405)
Variables |
Frequency |
Percentage (%) |
Awareness that alcohol consumption has effects on diabetes mellitus |
||
Yes |
229 |
56.4 |
No |
76 |
18.7 |
I don’t know |
101 |
24.9 |
*Specific effects of alcohol consumption on diabetes mellitus (n = 229) |
||
Poor control of blood sugar levels |
198 |
86.5 |
It increases the risk of eye disease |
49 |
21.4 |
It increases the risk of abnormal body sensation |
64 |
27.9 |
It increases the risk of poor wound healing |
59 |
25.8 |
More than half (56.4%) of the respondents are
aware that alcohol consumption has effects on diabetes mellitus. About a
quarter (24.9%) did not know, while 18.7% reported that alcohol consumption
does not affect diabetes mellitus. Most (86.5%) of those aware of its effects
on diabetes affirm that it could result in poor control of blood sugar levels.
About one-fifth to a quarter (21.4%, 27.9%, and 25.8%) of the respondents
reported increased risks of eye disease, abnormal body sensation, and poor
wound healing, respectively.
Table 3.16: Awareness of the effects of alcohol
consumption on cancers (n = 406)
Variables |
Frequency |
Percentage (%) |
Awareness that alcohol consumption has effects on (or increases the risk of) cancers |
||
Yes |
240 |
59.1 |
No |
56 |
13.8 |
I don’t know |
110 |
27.1 |
*Specific effects of alcohol consumption on (or increased risk of) particular types of cancers (n =
240) |
||
Breast cancer |
74 |
30.8 |
Esophageal (throat) cancer |
32 |
13.3 |
Oral (mouth) cancer |
41 |
17.1 |
Stomach cancer |
81 |
33.8 |
Liver cancer |
200 |
83.3 |
Cancer of the pancreas |
31 |
12.9 |
More than half (59.1%) of the respondents are
aware that alcohol consumption has effects on (or increases the risk of)
cancer. About a quarter (27.1%) did not know, while 13.8% reported that alcohol
consumption does not affect cancer. Most (83.3%) of those aware that alcohol
consumption affects cancer affirm that it results in liver cancer. Other
responses (33.8%, 30.8%, 17.1%, 13.3%, and 12.9%) connected alcohol consumption
with stomach, breast, oral, esophageal, and pancreatic cancers, respectively.
Table 3.17: Awareness of effects of alcohol consumption on sexually transmitted diseases (STIs) (n= 406)
*Specific
effects of alcohol consumption on sexually transmitted diseases (n = 205) |
|||||||||||||||||
It increases the risk of contracting HIV/AIDS |
174 |
84.9 |
|||||||||||||||
It increases the risk of contracting gonorrhea |
124 |
60.5 |
|||||||||||||||
It increases the risk of contracting syphilis |
78 |
38.0 |
A little more than half of those surveyed
(50.5%) are aware that drinking alcohol can increase the risk of STIs. Over
one-third (38.4%) of them reported that alcohol consumption does not affect
STIs, while 11.1% of them did not know. Most respondents (84.9%) aware of how
alcohol consumption affects STIs agree that it raises the risk of contracting
HIV/AIDS. About 60.5% knew that alcohol consumption increases the risk of
contracting gonorrhea, while over one-third of them (38.0%) knew it increases
the risk of contracting syphilis.
Table 3.18: Awareness of the effects of alcohol
consumption on pregnancy and fertility (n = 406)
Variables |
Frequency |
Percentage (%) |
Awareness that alcohol consumption has effects on pregnancy and fertility |
||
Yes |
324 |
79.8 |
No |
31 |
7.6 |
I don’t know |
51 |
12.6 |
*Specific effects of alcohol consumption on pregnancy (n = 324) |
||
It increases the risk of miscarriages |
251 |
77.5 |
It increases the risk of death of unborn children (in the
womb) |
167 |
51.5 |
It increases the risk of abnormalities in the bodies of
newborn babies |
106 |
32.7 |
It increases the risk of barrenness/infertility in women |
55 |
17.0 |
It increases the risk of impotence/infertility in men |
60 |
18.5 |
Most participants (79.8%) knew alcohol could
affect fertility and pregnancy in alcohol drinkers. About 7.6% claimed it does
not, while 12.6% said it does not. Most respondents (77.5%) who knew drinking
alcohol could affect fertility and pregnancy agree that it raises the risk of
miscarriages. A little over half of them (51.5%) asserted that it increases the
risk of fetuses dying in the womb, and 32.7%, 18.5%, and 17.0% affirm that it
also increases the risk of abnormalities in the bodies of newborns, impotence,
or infertility in men, and barrenness or infertility in women.
Alcohol and the Personal Welfare of Alcohol
Drinkers
Table 3.19: Awareness of the effects of alcohol consumption
on self-harm (n = 406)
Variables |
Frequency |
Percentage (%) |
Awareness that alcohol consumption has effects on self-harm |
||
Yes |
369 |
90.9 |
No |
21 |
5.2 |
I don’t know |
16 |
3.9 |
*Specific effects of alcohol consumption about self-harm (n = 369) |
||
It increases the risk of self-inflicted physical injuries |
247 |
66.9 |
It increases the risk of domestic accidents |
230 |
62.3 |
It increases the risk of road traffic accidents |
231 |
62.6 |
It increases the risk of premature death |
232 |
62.9 |
It increases the risk of suicide |
135 |
36.6 |
Nearly all of the respondents (90.9%) are
aware that alcohol consumption has effects on self-harm among drinkers. About
two-thirds of the respondents who knew that alcohol consumption has effects on
self-harm said that it increases the risk of self-inflicted physical injuries
(66.9%), domestic accidents (62.3%), road traffic accidents (62.6%), and
premature deaths (62.9%). Over one-third (36.6%) reported that it increases the
risk of suicide among drinkers.
Alcohol and the Social Life
of Alcohol Drinkers
Table 3.20: Awareness of the effects of alcohol
consumption on violence (n=406)
Variables |
Frequency |
Percentage (%) |
Awareness that alcohol consumption has effects on violence |
||
Yes |
371 |
91.4 |
No |
22 |
5.4 |
I don’t know |
13 |
3.2 |
Total
|
406 |
100.0 |
*Specific effects of alcohol consumption on violence (n-371) |
||
It increases aggression against others |
294 |
79.2 |
It impairs good
decision-making about others by alcohol drinkers |
173 |
46.6 |
It makes alcohol drinkers have a poor ability to correctly
interpret (or process) information they receive from others |
172 |
46.4 |
It increases the risk of inflicting physical injuries on
others by alcohol drinkers |
183 |
49.3 |
It increases the burden of care (given to alcohol drinkers
when they fall sick) on others |
114 |
30.7 |
It may lead to murder (killing of other people) by alcohol
drinkers |
184 |
49.6 |
Most respondents (91.4%) knew that alcohol use
fuels violence. Only a few (5.4%) claimed that drinking alcohol does not affect
violence, whereas 3.2% of the respondents said they had no idea. Over
two-thirds of the respondents (79.2%) who knew alcohol usage can contribute to
violence mentioned that it does so by encouraging aggressive behavior toward
others. Less than half of them were aware that drinking alcohol makes people
more likely to commit murder (49.6%), injure others physically (49.3%),
interfere with making wise judgments about others (46.6%), and make it
difficult for drinkers to interpret (or process) information received from
others (46.4%).
Table 3.21: Awareness of the effects of alcohol
consumption on domestic instability (n = 406)
Variables |
Frequency |
Percentage (%) |
Awareness that alcohol consumption has effects on domestic instability (broken/dysfunctional homes) |
||
Yes |
367 |
90.4 |
No |
17 |
4.2 |
I don’t know |
22 |
5.4 |
*Specific effects of alcohol consumption on broken/dysfunctional homes (n = 367) |
||
It destroys general family relationships and harmony |
296 |
80.7 |
It increases the risk of child abuse and neglect |
193 |
52.6 |
It causes domestic violence |
234 |
63.8 |
It causes separation (or divorce) between husbands and
wives |
224 |
61.0 |
The majority of respondents (90.4%) are aware
that drinking has an impact on unstable families. Only a few (4.2%) claimed it
does not affect broken homes, and 5.4% were unsure. Most respondents (80.7%)
who know that drinking affects unstable families concur that it ruins harmony
and ties within the family. 61% and 63.8% affirm that alcohol use causes
domestic violence and marriage separation, respectively, and 52.6% agree that
it increases the likelihood of child abuse and neglect.
Table 3.22: Awareness of the effects of alcohol
consumption on committing a crime (n=406)
Variables |
Frequency |
Percentage (%) |
Awareness that alcohol has effects on committing crime |
||
Yes |
370 |
91.1 |
No |
23 |
5.7 |
I don’t know |
13 |
3.2 |
*Specific effects of alcohol consumption on committing a crime (n = 370) |
||
It increases the risk of theft (stealing) |
271 |
73.2 |
It increases the risk of murder (killing of other people) |
230 |
62.2 |
It increases the risk of fighting |
289 |
78.1 |
It increases the risk of rape |
233 |
63.0 |
It increases the risk of financial crimes (like “419”,
etc..) |
152 |
41.1 |
Nearly all the respondents (91.1%) are aware
that alcohol consumption contributes to committing crimes. Only a few (5.7%)
reported that it does not affect crimes, and 3.2% of them did not know. The
majority of those who are aware that alcohol consumption has effects on
committing crimes affirm that it increases the risk of fighting (78.5%) and
theft (73.2%) among drinkers. Almost two-thirds of them said it increases the
risk of murder (62.2%) and rape (63.0%), while less than half (41.1%) of them
said that it increases the risk of financial crimes like "419"
(financial fraud).
Table
3.23: Awareness of the effects of alcohol consumption on the school performance
of drinkers (n = 406)
Variables |
Frequency |
Percentage (%) |
Awareness that alcohol has effects on school performance of drinkers |
||
Yes |
371 |
91.4 |
No |
21 |
5.2 |
I don’t know |
14 |
3.4 |
*Specific effects of alcohol consumption on
school performance of drinkers (n = 371) |
||
Poor school performance |
312 |
84.1 |
Absenteeism/truancy |
244 |
65.8 |
Withdrawal (or dropping out) from
school |
244 |
65.8 |
Others (distraction of other students in class, lack of
concentration, misbehaving in school, and even fighting teachers) |
5 |
1.3 |
The majority (91.4%) of the respondents knew
that alcohol consumption influences the school performance of alcohol drinkers.
Only a few (5.2%) reported that it does not affect school performance, and 3.4%
of them did not know. Most of those who are aware that alcohol consumption
influences the school performance of drinkers affirm that it causes poor school
performance. 65.8% of respondents said it contributes to truancy, withdrawal from
school, and absenteeism. Other effects mentioned by the respondents include
distraction from other students in class, lack of concentration, misbehavior in
school, and even fighting teachers.
Table 3.24: Awareness of the effects of alcohol
consumption on the work performance of drinkers (n = 406)
Variables
|
Frequency |
Percentage (%) |
Awareness that alcohol has effects on work performance of drinkers |
||
Yes |
355 |
87.4 |
No |
33 |
8.1 |
I don’t know |
18 |
4.4 |
*Specific effects of alcohol consumption on work performance of drinkers (n = 355) |
||
Reduced work productivity |
259 |
73.0 |
Absenteeism from work |
231 |
65.1 |
Loss of job |
270 |
76.1 |
Others (going to work late, tiredness, making mistakes at
work, etc.) |
6 |
1.7 |
The majority (87.4%) of the respondents knew
that alcohol consumption affects work performance among drinkers. Only a few
(8.1%) of them reported that alcohol consumption does not affect work
performance, while 4.4% of them did not know. Most respondents who knew that
alcohol consumption affects work performance affirmed that it causes job loss
(76.1%) and reduced work performance (73.0%). About two-thirds (65.1%) said
that it causes absenteeism, while a few (1.7%) of them affirmed that it can
also cause tiredness, mistakes or errors at work, and being late.
Table 3.25: Awareness of
the effects of alcohol consumption on unplanned sex (n=406)
Variables |
Frequency |
Percentage (%) |
Awareness that alcohol consumption has effects on unplanned sex among drinkers |
||
Yes |
345 |
85.0 |
No |
35 |
8.6 |
I don’t know |
26 |
6.4 |
*Specific effects of alcohol consumption on unplanned sex among drinkers (n = 345) |
||
Unprotected sex |
224 |
64.9 |
Unwanted pregnancy |
275 |
79.7 |
Induced abortion |
130 |
37.7 |
Sexually transmitted diseases |
158 |
45.8 |
HIV/AIDS |
124 |
35.9 |
Most of the respondents (85.0%) are aware that
alcohol consumption has effects on unplanned sex among drinkers. Only a few
(8.6%) reported that it does not influence random sex, while 6.4% did not know.
The majority (79.7%) of those who knew that alcohol consumption affects
unplanned sex affirmed that it increases the likelihood of unwanted pregnancy
among drinkers. About two-thirds (64.9%) said that it increases the risk of
unprotected sex, while others said that it increases the risk of HIV/AIDS
(35.9%), an induced abortion (37.7%), and STIs (45.8%).
Variables |
Frequency |
Percentages (%) |
Awareness that alcohol has effects on loss of properties by drinkers |
||
Yes |
340 |
83.7 |
No |
39 |
9.6 |
I don’t know |
27 |
6.7 |
*Specific effects of alcohol consumption on the loss of properties by drinkers (n = 340) |
||
Gambling away money and other belongings/properties |
247 |
72.6 |
Carelessness regarding belongings/properties |
243 |
71.5 |
Forgetfulness regarding belongings/properties |
176 |
51.8 |
Poverty |
180 |
52.9 |
Lack of food |
156 |
45.9 |
Lack of shelter |
145 |
42.6 |
Others (selling off their properties to buy alcohol,
etc..) |
10 |
2.9 |
Over two-thirds (83.7%) of the respondents knew
that alcohol consumption influences property loss. Only a few (9.6%) claimed
that it does not affect the loss of properties, and 6.7% were unsure. Most
respondents who are aware that alcohol consumption has consequences for
property loss affirm that it results in gambling away money and other
possessions or properties (72.6%). 71.5% said it causes carelessness on
properties. Over half of the respondents reported poverty (52.9%) and
forgetfulness about properties (51.8%). A few (2.9%) stated that it also raises
the risk of alcohol drinkers selling their properties to buy alcohol. Less than
half said it could cause a lack of food and shelter (45.9% and 42.6%,
respectively).
Table 3.27: Source of information about alcohol and its
health effects among respondents (n=406)
Sources of information |
Frequency |
Percentage (%) |
Family members |
148 |
36.5 |
Books/magazines |
155 |
38.2 |
Radio/television |
198 |
48.8 |
Friends |
216 |
53.2 |
School |
190 |
46.8 |
Healthcare workers |
106 |
26.1 |
Church/mosque |
95 |
23.4 |
Others (social media, personal experience, and the
experience of other drinkers, etc. |
46 |
11.3 |
Friends (53.2%), radio or television (48.8%),
and schools (46.8%) are the most frequent sources of information about alcohol
and its effects on health. The least common sources of information are other
sources such as social media, personal experience, and the experiences of other
drinkers (11.3%).
Table 3.28: Grading of awareness of alcohol and its
health effects among respondents (n=406)
Grades |
Score (%) |
Frequency (n) |
Percentage (%) |
Good awareness |
≥ 50 |
148 |
36.5 |
Poor awareness |
< 50 |
258 |
63.5 |
Total |
100 |
406 |
100.0 |
About two-thirds (63.5%) of the respondents have poor
awareness of the health effects of alcohol consumption, while over one-third
(36.5%) have good awareness of the health effects of alcohol consumption.
Social Factors Influencing Alcohol Use Among
Young Adults
Table
3.29: Respondents’ perception of factors influencing alcohol consumption among
young adults in their community (n=406)
Perceived reasons for alcohol consumption among young adults |
Frequency |
Percentage (%) |
For pleasure or fun |
259 |
63.8 |
Depression |
180 |
44.3 |
Idleness |
151 |
37.2 |
Peer pressure |
252 |
62.1 |
Curiosity |
127 |
31.3 |
Poverty |
122 |
30.0 |
Home/personal problems |
145 |
35.7 |
Drinking is accepted and encouraged by my culture |
94 |
23.2 |
My family members allow and encourage drinking |
47 |
11.6 |
Unemployment |
130 |
32.0 |
Stress |
137 |
33.7 |
Boredom |
107 |
26.4 |
About
two-thirds (63.8%) of the respondents affirmed that the perceived reasons for
alcohol consumption among young adults in their community are for pleasure or
fun, followed by peer pressure and depression (62.1% and 44.3%, respectively).
A minority (11.6%) said they perceived it as due to family acceptance of
alcohol consumption.
Table 3.30: Drinking among family members and social circles of
the respondents (n=406)
Variables |
Frequency |
Percentage (%) |
Respondents who have family members who consume alcohol |
||
Yes |
215 |
53.0 |
No |
191 |
47.0 |
Family members of respondents who consume alcohol (multiple responses)- n=215 |
||
Father |
79 |
36.7 |
Mother |
25 |
11.6 |
Brothers |
66 |
30.7 |
Sisters |
16 |
7.5 |
Uncles |
82 |
38.1 |
Aunties |
6 |
2.8 |
Grandfather |
3 |
1.4 |
Grandmother |
3 |
1.4 |
Cousin |
13 |
6.0 |
Husband |
4 |
1.9 |
Respondents who have friends who consume alcoholic beverages |
||
Yes |
289 |
71.2 |
No |
117 |
28.8 |
Respondents who have classmates who consume alcoholic beverages (*n = 315) |
||
Yes |
157 |
49.8 |
No |
158 |
50.2 |
Respondents who have colleagues (at work) who
consume alcoholic beverages (#n = 136) |
||
Yes |
75 |
55.1 |
No |
61 |
44.9 |
Total |
136 |
100.0 |
More
than half (53.0%) of the respondents affirmed that they have family members who
consume alcoholic beverages, with most of them mentioning their uncles (38.1%),
fathers (36.7%), and brothers (30.7%) as drinkers. Almost three-quarters
(71.2%) of the respondents have friends who consume alcoholic beverages. Nearly
half (49.8%) of the respondents in school have classmates who drink alcoholic
beverages. More than half (55.5%) of the respondents engaged in any occupation
also have colleagues who consume alcoholic beverages.
Table
3.31: Introduction to alcohol consumption among respondents who drink alcohol
(n=153)
Persons who introduced respondents to
alcohol consumption |
Frequency |
Percentage (%) |
Classmates |
8 |
5.2 |
Colleagues at work |
2 |
1.3 |
Family members |
39 |
25.5 |
Friends |
97 |
63.4 |
Neighbors |
5 |
3.3 |
Others (myself) |
2 |
1.3 |
Circumstances of first
alcoholic drink |
||
At a party or social ceremony |
33 |
21.6 |
At home (or in the family environment) |
35 |
22.9 |
In a hotel/bar |
39 |
25.5 |
With friends |
43 |
28.1 |
Others (on the school premises) |
3 |
1.9 |
Motivation to drink alcohol the first time |
||
I wanted to socialize and mingle with my friends |
65 |
42.5 |
The pleasure and fun of drinking |
35 |
22.9 |
I wanted to taste it (curiosity) |
19 |
12.4 |
Stress |
11 |
7.2 |
My friends told me it would give me courage and confidence
(peer pressure) |
7 |
4.6 |
I was bored and lonely |
6 |
3.9 |
I was in a bad mood |
6 |
3.9 |
Others (my uncle/father gave me to drink, I never knew it
was alcohol) |
4 |
2.6 |
Total |
153 |
100.0 |
Most drinkers (63.3%)
said friends introduced them to alcohol, followed by family members (25.5%).
Only 2 (1.3%) respondents said they had started drinking out of self-interest.
Nearly half (42.5%) of alcohol drinkers said they started because they wanted
to interact and socialize with friends. About a quarter (28.1%) of those who
drink admit to having their first drink with friends. 12.4% began drinking out
of curiosity, while 22.9% began drinking for pleasure and fun.
Table 3.32: Sources of procurement of alcoholic beverages
among respondents (n=153)
Sources of procurement of alcoholic beverages (n = 153) |
Frequency |
Percentage (%) |
Night clubs |
41 |
26.8 |
Night parties |
84 |
54.9 |
Social ceremonies |
49 |
32.0 |
Roadside joints |
57 |
37.3 |
Drinking bars/hotels |
103 |
67.3 |
Most of the respondents who drink affirmed that they
usually get their alcoholic beverages from drinking bars or hotels (67.3%),
followed by night parties and roadside joints (54.9% and 37.3%, respectively).
Table 3.33: Intention to quit (stop) alcohol consumption among respondents (n=153)
Intention to quit alcohol consumption |
Frequency |
Percentage (%) |
Yes |
110 |
71.9 |
No |
43 |
21.1 |
Reasons for intention to quit alcohol consumption (n =
110) |
||
Because of its harmful effects (including health reasons) |
42 |
38.2 |
It is time and money-consuming |
18 |
16.4 |
It makes me not plan for the future |
9 |
8.2 |
It causes social disrepute (associated with misbehavior) |
11 |
10.0 |
Advice from people |
7 |
6.4 |
I want to live a better life |
8 |
7.3 |
To avoid addiction |
6 |
5.5 |
Others (because I drank out of ignorance/unknowingly,
because of my previous experience, there is nothing good in drinking,
etc.) |
10 |
9.1 |
Reasons for not intending to quit alcohol
consumption (n = 43) |
||
It provides pleasure, a good time, and relaxation |
14 |
32.6 |
It keeps me happy, and I enjoy drinking |
8 |
18.6 |
It eases stress, gives me peace of mind, and helps me
forget my problems |
10 |
23.3 |
I cannot do without it |
4 |
9.3 |
I am not a chronic drinker |
2 |
4.7 |
Others (my parents do not have any problem with me
drinking, alcohol is good for me, it is a food, it helps me to work well) |
5 |
11.6 |
Total |
43 |
100.0 |
The majority (71.9%) of alcohol drinkers
affirmed that they intend to stop drinking in the future, with most (38.2%)
saying they want to stop alcohol consumption because of its harmful effects on
health. About 16.4% and 8.2% said they want to stop drinking because it
consumes their resources (time, money, etc.) and makes them not plan for the
future, respectively. About 21.1% of the respondents who drink alcohol affirmed
that they have no intention of quitting alcohol consumption, with about
one-third (32.6%) saying that it provides a good time, pleasure, and
relaxation. About 23.3% of them have no intention of quitting because they
perceive that it eases their stress, gives them peace of mind, and helps them
forget their problems, while 18.6% said it keeps them happy and they enjoy
drinking it.
Tests of Association (Bivariate Analysis)
(*Although analyzed, respondents’ tribes consistently
were not significantly associated with any indicators and were
not captured in the tables to allow for proper type-setting).
Table 3.34: Association between lifetime drinking and socio-demographic characteristics of the respondents (n = 406)
Variables |
Drinking
Indicators |
Total |
X² |
Fisher’s
test |
df |
P-value |
|
Lifetime drinkers (%) |
Lifetime abstainers (%) |
||||||
Age (years) |
|||||||
15-17 |
58 (30.7) |
131 (69.3) |
189 |
16.695 |
|
3 |
0.001 |
18-19 |
32 (35.2) |
59 (64.8) |
91 |
||||
20-21 |
18 (38.3) |
29 (61.7) |
47 |
||||
22-24 |
45 (57.0) |
34 (43.0) |
79 |
||||
Sex |
|||||||
Male |
109 (47.7) |
123 (53.0) |
232 |
19.929 |
|
1 |
0.000 |
Female |
44 (25.3) |
130 (74.7) |
174 |
||||
Religion |
|||||||
Christianity |
150 (39.1) |
234 (60.9) |
384 |
5.728 |
|
1 |
0.017 |
Islam |
3 (13.6) |
19 (86.4) |
22 |
||||
Marital status |
|||||||
Single |
142 (36.9) |
243 (63.1) |
385 |
2.037 |
|
1 |
0.154 |
Married |
11 (52.4) |
10 (47.6) |
21 |
||||
Currently schooling |
|||||||
Yes |
106 (33.7) |
209 (66.3) |
315 |
9.739 |
|
1 |
0.002 |
No |
47 (51.6) |
44 (48.4) |
91 |
||||
Level of education |
|||||||
Junior Secondary |
18 (34.6%) |
34 (65.4%) |
52 |
7.469 |
|
2 |
0.024 |
Senior Secondary |
85 (33.7%) |
167 (66.3% |
252 |
||||
Tertiary |
50 (49.0%) |
52 (51.0%) |
102 |
||||
Employment status |
|||||||
Employed |
66 (48.5%) |
70 (51.5%) |
136 |
10.242 |
|
1 |
0.001 |
Not employed |
87 (32.2%) |
183 (67.8%) |
270 |
||||
Total |
153 |
253 |
406 |
|
|
|
|
Monthly
income ( |
|||||||
N0-N9,999 |
11 (33.3) |
22 (66.7) |
33 |
|
9.940 |
|
0.193 |
N10,000- N19,999 |
17 (63.0) |
10 (37.0) |
27 |
||||
N20,000-N29,999 |
10 (62.5) |
6 (37.5) |
16 |
||||
N30,000-N39,999 |
5 (41.7) |
7 (58.3) |
12 |
||||
N40,000-N49,999 |
6 (60.0) |
4 (40.0) |
10 |
||||
N50,00-N59,999 |
1 (25.0) |
3 (75.0) |
4 |
||||
N60,000-N69,99 |
1 (20.0) |
4 (80.0) |
5 |
||||
≥ N70,000 |
15 (51.7) |
14 (48.3) |
29 |
|
|
|
|
Total |
66 |
70 |
136 |
|
|
|
|
Lifetime drinking is significantly associated
with age, sex, religion, being in school, level of education, and employment
status of the respondents (p<0.05).
Table 3.35: Association between current drinking
and socio-demographic characteristics of the respondents (n = 153)
Variables |
Drinking
Indicators |
Total |
X² |
Fisher’s
test |
df |
P-value |
|
Current
drinkers (%) |
Former drinkers
(%) |
||||||
Age (years) |
|||||||
15-17 |
46 (79.3) |
12 (20.7) |
58 |
0.485 |
|
3 |
0.922 |
18-19 |
26 (81.3) |
6 (18.8) |
32 |
||||
20-21 |
15 (83.3) |
3 (16.7) |
18 |
||||
22-24 |
38 (84.4) |
7 (15.6) |
45 |
||||
Sex |
|||||||
Male |
93 (85.3) |
16 (14.7) |
109 |
3.325 |
|
1 |
0.068 |
Female |
32 (72.7) |
12 (27.3) |
44 |
||||
Religion |
|||||||
Christianity |
123 (82.0) |
27 (18.0) |
150 |
|
0.462 |
|
0.457 |
Islam |
2 (66.7) |
1 (33.3) |
3 |
||||
Marital status |
|||||||
Single |
119 (83.8) |
23 (16.2) |
142 |
|
5.845 |
|
0.016 |
Married |
6 (54.5) |
5 (45.5) |
11 |
||||
Currently schooling |
|||||||
Yes |
88 (83.0) |
18 (17.0) |
106 |
0.402 |
|
1 |
0.526 |
No |
37 (78.7) |
10 (21.3) |
47 |
||||
Level of education |
|||||||
Junior Secondary |
15 (83.3) |
3 (16.7) |
18 |
1.121 |
|
2 |
0.571 |
Senior Secondary |
67 (78.8) |
18 (21.2) |
85 |
||||
Tertiary |
43 (86.0) |
7 (14.0) |
50 |
||||
Total |
125 |
28 |
153 |
|
|
|
|
Employment status |
|||||||
Employed |
59 (89.4) |
7 (10.6) |
66 |
4.596 |
|
1 |
0.032 |
Not employed |
66 (75.9) |
21 (24.1) |
87 |
||||
Total |
125 |
28 |
153 |
|
|
|
|
Monthly income ( |
|||||||
N0-N9,999 |
8 (72.7) |
3 (27.3) |
11 |
|
6.082 |
|
0.554 |
N10,000- N19,999 |
15 (88.2) |
2 (11.8) |
17 |
||||
N20,000-N29,999 |
10 (100.0) |
0 (0.0) |
10 |
||||
N30,000-N39,999 |
5 (100.0) |
0 (0.00 |
5 |
||||
N40,000-N49,999 |
5 (83.3) |
1 (16.7) |
6 |
||||
N50,00-N59,999 |
1 (100.0) |
0 (0.0) |
1 |
||||
N60,000-N69,99 |
1 (100.0) |
0 (0.0) |
1 |
||||
≥ N70,000 |
14 (93.3) |
1 (6.7) |
15 |
|
|
|
|
Total |
59 |
7 |
66 |
|
|
|
|
Current
drinking is significantly associated with the marital and employment statuses
of the respondents (p<0.05).
Tests of Association
Between Sociodemographic Characteristics of the
Respondents and Other Aspects of Alcohol Consumption
(*Tribe
was also not captured in the following tables for reasons earlier stated
Table
3.36: Association between socio-demographic characteristics of the respondents
and period of last alcohol consumption (N=153)
Variables |
Period
of last alcohol consumption |
Total |
X² |
Fisher’s
test |
df |
P-value |
|||
Last 7 days (%) |
Last 8-30 days (%) |
Last > 1-12 months (%) |
Above 1 year (%) |
||||||
Age (years) |
|||||||||
15-17 |
26 (44.8) |
9 (15.5) |
11 (19.0) |
12 (20.7) |
58 |
6.193 |
|
9 |
0.720 |
18-19 |
17 (53.1) |
7 (21.9) |
2 (6.3) |
5 (18.8) |
32 |
||||
20-21 |
7 (38.9) |
5 (27.8) |
3 (16.7) |
3 (16.7) |
18 |
||||
22-24 |
17 (37.8) |
13 (28.9) |
8 (17.8) |
7 (15.6) |
45 |
||||
Sex |
|||||||||
Male |
53 (48.6) |
25 (22.9) |
15 (13.8) |
16 (14.7) |
109 |
5.720 |
|
3 |
0.126 |
Female |
14 (31.8) |
9 (20.5) |
9 (20.5) |
12 (27.3) |
44 |
||||
Religion |
|||||||||
Christianity |
65 (43.7) |
34 (33.3) |
24 (23.5) |
27 (18.0) |
150 |
|
1.623 |
|
0.763 |
Islam |
2 (66.7) |
0 (0.0) |
0 (0.0) |
1 (33.3) |
3 |
||||
Marital status |
|||||||||
Single |
63 (44.4) |
33 (23.2) |
23 (16.2) |
23 (16.2) |
142 |
|
4.827 |
|
0.152 |
Married |
4 (36.4) |
1 (9.1) |
1 (9.1) |
5 (45.5) |
11 |
||||
Currently schooling |
|||||||||
Yes |
47 (44.3) |
25 (23.6) |
16 (15.1) |
18 (17.0) |
106 |
0.717 |
|
3 |
0.869 |
No |
20 (42.6) |
9 (19.1) |
8 (17.0) |
10 (21.3) |
47 |
||||
Level of education |
|||||||||
Jnr. Secondary |
12 (66.7) |
1 (5.6) |
2 (11.1) |
3 (16.7) |
18 |
|
7.159 |
|
0.299 |
Snr secondary |
36 (42.4) |
19 (22.4) |
12 (14.1) |
18 (21.2) |
85 |
||||
Tertiary |
19 (38.0) |
14 (28.0) |
10 (20.0) |
7 (14.0) |
50 |
||||
Employment status |
|||||||||
Employed |
37 (56.1) |
14 (21.2) |
8 (12.1) |
7 (10.6) |
66 |
8.739 |
|
3 |
0.033 |
Not employed |
30 (34.5) |
20 (23.0) |
16 (18.4) |
21 (24.1) |
87 |
||||
Total |
67 |
34 |
24 |
28 |
153 |
|
|
|
|
Monthly income ( |
|||||||||
N0-N9,999 |
6 (54.5) |
1 (9.1) |
1 9.1) |
3 (27.3) |
11 |
|
23.737 |
|
0.193 |
N10,000- N19,999 |
13 (76.5) |
2 (11.8) |
0 (0.0) |
2 (11.8) |
17 |
||||
N20,000-N29,999 |
5 (50.0) |
2 (20.0) |
3 (30.0) |
0 (0.0) |
10 |
||||
N30,000-N39,999 |
2 (40.0) |
1 (20.0) |
2 (40.0) |
0 (0.0) |
5 |
||||
N40,000N49,999 |
4 (66.7) |
1 (16.7) |
0 (0.0) |
1 (16.7) |
6 |
||||
N50,00-N59,999 |
1 (100.0) |
0 (0.0) |
0 (0.0) |
0 (0.0) |
1 |
||||
N60,000-N69,99 |
1 (100.0) |
0 (0.0) |
0 (0.0) |
0 (0.0) |
1 |
||||
≥ N70,000 |
5 (33.3) |
7 (46.7) |
2 (13.3) |
1 (6.7) |
15 |
|
|
|
|
Total |
37 |
14 |
8 |
7 |
66 |
|
|
|
|
There is a statistically significant relationship between the period of last alcohol consumption and the employment status of respondents (p<0.05).
Table 3.37: Association between socio-demographic characteristics and the number of bottles of commercially brewed alcoholic beverages consumed per sitting (n = 138)
Variables |
No. of
bottles consumed per sitting |
Total |
X² |
Fisher’s
test |
df |
P-value |
||
1-2 (%) |
3-4 (%) |
5+ (%) |
||||||
Age (years) |
||||||||
15-17 |
16 (34.0) |
15 (31.9) |
16 (34.0) |
47 |
5.587 |
|
6 |
0.487 |
18-19 |
6 (20.0) |
13 (43.3) |
11 (36.7) |
30 |
||||
20-21 |
5 (29.4) |
7 (41.2) |
5 (29.4) |
17 |
||||
22-24 |
18 (40.9) |
10 (22.7) |
16 (36.4) |
44 |
||||
Sex |
||||||||
Male |
31 (30.7) |
34 (33.7) |
36 (35.6) |
101 |
0.633 |
|
2 |
0.729 |
Female |
14 (37.8) |
11 (29.7) |
12 (32.4) |
37 |
||||
Religion
|
||||||||
Christianity |
43 (31.6) |
45 (33.1) |
48 (35.3) |
136 |
|
2.777 |
|
0.209 |
Islam |
2 (100.0) |
0 (0.0) |
0 (0.0) |
2 |
||||
Marital status |
||||||||
Single |
39 (30.5) |
43 (33.6) |
46 (35.9) |
128 |
|
3.158 |
|
0.231 |
Married |
6 (60.0) |
2 (20.0) |
2 (20.0) |
10 |
||||
Currently schooling |
||||||||
Yes |
32 (34.0) |
28 (29.8) |
34 (36.2) |
94 |
1.069 |
|
2 |
0.614 |
No |
13 (29.5) |
17 (38.6) |
14 (31.8) |
44 |
||||
Level of education |
||||||||
Jnr Secondary |
8 (50.0) |
6 (37.5) |
2 (12.5) |
16 |
7.711 |
|
4 |
0.103 |
Snr Secondary |
19 (25.7) |
28 (37.8) |
27 (36.5) |
74 |
||||
Tertiary |
18 (37.5) |
11 (22.9) |
19 (39.6) |
48 |
||||
Employment status |
||||||||
Employed |
20 (31.3) |
21 (32.8) |
23 (35.9) |
64 |
0.115 |
|
2 |
0.976 |
Not employed |
25 (33.8) |
24 (32.4) |
25 (33.8) |
74 |
||||
Total |
45 |
45 |
48 |
138 |
|
|
|
|
Monthly income ( |
||||||||
N0-N9,999 |
3 (30.0) |
3 (30.0) |
4 (40.0) |
10 |
|
15.542 |
|
0.891 |
N10,000-N19,999 |
7 (41.2) |
6 (35.3) |
4 (23.5) |
17 |
||||
N20,000-N29,999 |
1 (11.1) |
3 (33.3) |
5 (55.6) |
9 |
||||
N30,000-N39,999 |
2 (40.0) |
2 (40.0) |
1 (20.0) |
5 |
||||
N40,000-N49,999 |
3 (50.0) |
1 (16.7) |
2 (33.3) |
6 |
||||
N50,000-N59,999 |
0 (0.0) |
0 (0.0) |
1 (100.0) |
1 |
||||
N60,000-N69,999 |
0 (0.0) |
1 (100.0) |
0 (0.0) |
1 |
||||
≥ N70,000 |
4 (26.7) |
5 (33.3) |
5 (40.0) |
15 |
||||
Total |
20 |
21 |
23 |
64 |
|
|
|
|
There is no statistically significant
association between the number of bottles consumed per sitting and any of the
socio-demographic characteristics of the respondents (p<0.05).
Table 3.38: Association between the socio-demographic
characteristics of respondents and the number of calabashes of
locally brewed alcoholic beverages consumed per sitting (n = 59)
Variables |
No. of
calabashes consumed per sitting |
Total |
X² |
Fisher’s
test |
df |
P-value |
||
1-2 (%) |
3-4 (%) |
5+ (%) |
||||||
Age (years) |
||||||||
15-17 |
11 (47.8) |
10 (43.5) |
2 (8.7) |
23 |
|
9.027 |
|
0.145 |
18-19 |
2 (15.4) |
6 (46.2) |
5 (38.5) |
13 |
||||
20-21 |
1 (14.3) |
5 (71.4) |
1 (14.3) |
7 |
||||
22-24 |
6 (37.5) |
9 (56.3) |
1 (6.3) |
16 |
||||
Sex |
||||||||
Male |
16 (36.4) |
21 (47.7) |
7 (15.9) |
44 |
0.690 |
|
2 |
0.708 |
Female |
4 (26.7) |
9 (60.0) |
2 (13.3) |
15 |
||||
Religion
|
||||||||
Christianity |
20 (34.5) |
29 (50.0) |
9 (15.5) |
58 |
|
1.350 |
|
1.000 |
Islam |
0 (0.0) |
1 (100.0) |
0 (0.0) |
1 |
||||
Marital status |
||||||||
Single |
19 (34.5) |
28 (50.9) |
8 (14.5) |
55 |
|
0.851 |
|
0.640 |
Married |
1 (25.0) |
2 (50.0) |
1 (25.0) |
4 |
||||
Currently schooling |
||||||||
Yes |
12 (34.3) |
19 (54.3) |
4 (11.4) |
35 |
1.029 |
|
2 |
0.598 |
No |
8 (33.3) |
11 (45.8) |
5 (20.8) |
24 |
||||
Level of education |
||||||||
Jnr Secondary |
1 (9.1) |
7 (63.6) |
3 (27.3) |
11 |
|
5.400 |
|
0.224 |
Snr Secondary |
16 (42.1) |
18 (47.4) |
4 (10.5) |
38 |
||||
Tertiary |
3 (30.0) |
5 (50.0) |
2 (20.0) |
10 |
||||
Employment status |
||||||||
Employed |
10 (33.3) |
17 956.7) |
3 (10.0) |
30 |
|
1.501 |
|
0.466 |
Not employed |
10 (34.5) |
13 (44.8) |
6 (20.7) |
29 |
||||
Total |
20 |
30 |
9 |
59 |
|
|
|
|
Monthly income ( |
||||||||
N0-N9,999 |
2 (66.7) |
1 (33.3) |
0 (0.0) |
3 |
|
7.716 |
|
0.694 |
N10,000-N19,999 |
3 (27.3) |
7 (63.6) |
1 (9.1) |
11 |
||||
N20,000-N29,999 |
1 (20.0) |
2 (40.0) |
2 (40.0) |
5 |
||||
N30,000-N39,999 |
1 (25.0) |
3 (75.0) |
0 (0.0) |
4 |
||||
N40,000-N49,999 |
2 (66.7) |
1 (33.3) |
0 (0.0) |
3 |
||||
≥ N70,000 |
1 (25.0) |
3 (75.0) |
0 (0.0) |
4 |
||||
Total |
10 |
17 |
3 |
30 |
|
|
|
|
There is no statistically significant association between the
number of calabashes consumed by respondents at a sitting and their
socio-demographic characteristics (p<0.05).
Table 3.39: Association between the age at initiation of alcohol
consumption and socio-demographic characteristics of the
respondents (n=153)
Variables |
Age at
initiation of drinking |
Total |
X² |
Fisher’s
test |
df |
P-value |
||
7-12
years (%) |
13-19
years (%) |
20-23
years (%) |
||||||
Age (years) |
||||||||
15-17 |
17 (29.3) |
41 (70.7) |
0 (0.0) |
58 |
|
31.812 |
|
0.000 |
18-19 |
6 (18.8) |
26 (81.3) |
0 (0.0) |
32 |
||||
20-21 |
1 (5.6) |
13 (72.2) |
4 (22.2) |
18 |
||||
22-24 |
6 (13.6) |
26 (57.8) |
13 (28.9) |
45 |
||||
Sex |
||||||||
Male |
23 (21.1) |
72 (66.1) |
14 (12.8) |
109 |
2.025 |
|
2 |
0.363 |
Female |
7 (15.9) |
34 (77.3) |
3 (6.8) |
44 |
||||
Religion |
||||||||
Christianity |
29 (19.3) |
104 (69.3) |
17 (11.3) |
153 |
|
0.869 |
|
0.670 |
Islam |
1 (33.3) |
2 (66.7) |
0 (0.0) |
3 |
||||
Marital status |
||||||||
Single |
28 (19.7) |
99 (69.7) |
15 (10.6) |
142 |
|
0.991 |
|
0.700 |
Married |
2 (18.2) |
7 (63.6) |
2 (18.2) |
11 |
||||
Currently schooling |
||||||||
Yes |
22 (20.8) |
78 (73.6) |
6 (5.7) |
106 |
10.381 |
|
2 |
0.006 |
No |
8 (17.0) |
28 (59.6) |
11(23.4) |
47 |
||||
Level of education |
||||||||
Jnr Secondary |
7 (38.9) |
10 (55.6) |
1 (5.6) |
18 |
|
10.774 |
|
0.022 |
Snr Secondary |
18 (21.2) |
61 (71.8) |
6 (7.1) |
85 |
||||
Tertiary |
5 (10.0) |
35 (70.0) |
10 (20.0) |
50 |
||||
Employment status |
||||||||
Employed |
9 (13.6) |
45 (68.2) |
12 (18.2) |
66 |
7.345 |
|
2 |
0.025 |
Not employed |
21 (24.1) |
61 (70.1) |
5 (5.7) |
87 |
||||
Total |
30 |
106 |
17 |
153 |
|
|
|
|
Monthly income ( |
||||||||
N0-N9,999 |
1 (9.1) |
10 (90.9) |
0 (0.0) |
11 |
|
15.542 |
|
0.268 |
N10,000-N19,999 |
1 (5.9) |
13 (76.5) |
3 (17.6) |
17 |
||||
N20,000-N29,999 |
1 (10.0) |
5 (50.0) |
4 (40.0) |
10 |
||||
N30,000-N39,999 |
1 (20.0) |
4 (80.0) |
0 (0.0) |
5 |
||||
N40,000-N49,999 |
2 (33.3) |
4 (66.7) |
0 (0.0) |
6 |
||||
N50,00-N59,999 |
0 (0.0) |
1 (100.0) |
0 (0.0) |
1 |
||||
N60,000-N69,999 |
0 (0.0) |
1 (100.0) |
0 (0.0) |
1 |
||||
≥ N70,000 |
3 (20.0) |
7 (46.7) |
5 (33.3) |
15 |
||||
Total |
9 |
45 |
12 |
66 |
|
|
|
|
There is a statistically significant association between
respondents’ age at initiation of alcohol consumption and their ages, current
enrollment in school, level of education, and employment status (p<0.05).
Table
3.40: Association between respondents’ socio-demographic characteristics and
duration of alcohol consumption (n=153)
Variables |
Duration
of Alcohol Consumption |
Total |
X² |
Fisher’s
test |
df |
P-value |
||
1-2 years (%) |
> 2-4 years (%) |
> 4 years (%) |
||||||
Age (years) |
||||||||
15-17 |
40 (69.0) |
11 (19.0) |
7 (12.1) |
58 |
37.492 |
|
6 |
0.000 |
18-19 |
14 (43.8) |
10 (31.3) |
8 (25.0) |
32 |
||||
20-21 |
7 (38.9) |
10 (55.6) |
1 (5.6) |
18 |
||||
22-24 |
10 (22.2) |
12 (26.7) |
23 (51.1) |
45 |
||||
Sex |
||||||||
Male |
44 (40.4) |
34 (31.2) |
31 (28.4) |
109 |
5.558 |
|
2 |
0.062 |
Female |
27 (61.4) |
9 (20.5) |
8 (18.2) |
44 |
||||
Religion |
||||||||
Christianity |
70 (46.7) |
42 (28.2) |
38 (25.3) |
150 |
|
0.755 |
|
1.000 |
Islam |
1 (33.3) |
1 (33.3) |
1 (33.3) |
3 |
||||
Marital status |
||||||||
Single |
66 (46.5) |
43 (30.3) |
33 (23.2) |
142 |
|
7.251 |
|
0.022 |
Married |
5 (45.5) |
0 (0.0) |
6 (54.5) |
11 |
||||
Currently schooling |
||||||||
Yes |
56 (52.8) |
32 (30.2) |
18 (17.0) |
106 |
13.404 |
|
2 |
0.001 |
No |
15 (31.9) |
11 (23.4) |
21 (44.7) |
47 |
||||
Level of education |
||||||||
Jnr Secondary |
11 (61.1) |
1 (5.6) |
6 (33.3) |
18 |
22.634 |
|
4 |
0.000 |
Snr secondary |
49 (57.6) |
23 (27.1) |
13 (15.3) |
85 |
||||
Tertiary |
11 (22.0) |
19 (38.0) |
20 (40.0) |
50 |
||||
Employment status |
||||||||
Employed |
23 (34.8) |
19 (28.8) |
24 (36.4) |
66 |
8.744 |
|
2 |
0.013 |
Not employed |
48 (55.2) |
24 (27.6) |
15 (17.2) |
87 |
||||
Total |
71 |
43 |
39 |
153 |
|
|
|
|
Monthly income ( |
||||||||
N0-N9,999 |
6 (54.5) |
4 (36.4) |
1 (9.1) |
11 |
|
27.893 |
|
0.002 |
N10,000-N19,999 |
8 (47.1) |
6 (35.3) |
3 (17.6) |
17 |
||||
N20,000-N29,999 |
60 (60.0) |
1 (10.0) |
3 (30.0) |
10 |
||||
N30,000-N39,999 |
0 (0.0) |
3 60.0) |
2 (40.0) |
5 |
||||
N40,000-N49,999 |
0 (0.0) |
0 (0.0) |
6 (100.0) |
6 |
||||
N50,00-N59,999 |
1 (100.0) |
0 (0.0) |
0 (0.0) |
1 |
||||
N60,000-N69,999 |
0 (0.0) |
0 (0.0) |
1 (100.0) |
1 |
||||
≥ N70,000 |
2 (13.3) |
5 (33.3) |
8 (53.3) |
15 |
||||
Total |
23 |
19 |
24 |
66 |
|
|
|
|
There is a statistically significant association
between respondents' duration of alcohol consumption and their ages,
marital status, being currently in school, level of education, employment
status, and monthly income (p<0.05).
Table 3.41: Association between respondents’
socio-demographic characteristics and their awareness of the health effects of
alcohol consumption (n=406)
Variables |
Level of awareness |
Total |
X² |
Fisher’s
test |
df |
P-value |
|
Good (%) |
Poor (%) |
||||||
Age (years) |
|||||||
15-17 |
61 (32.3) |
128 (67.7) |
189 |
8.949 |
|
3 |
0.030 |
18-19 |
31 (34.1) |
60 (65.9) |
91 |
||||
20-21 |
26 (55.3) |
21 (44.7) |
47 |
||||
22-24 |
30 ((38.0) |
49 (62.0) |
79 |
||||
Sex |
|||||||
Male |
79 (34.1) |
153 (65.9) |
232 |
1.348 |
|
1 |
0.246 |
Female |
69 (39.7) |
105 (60.3) |
174 |
||||
Religion |
|||||||
Christianity |
147 (38.3) |
237 (61.7) |
384 |
10.223 |
|
1 |
0.000 |
Islam |
1 (4.5) |
21 (95.5) |
22 |
||||
Marital status |
|||||||
Single |
139 (36.1) |
246 (63.9) |
385 |
0.391 |
|
1 |
0.531 |
Married |
9 (42.9) |
12 (57.1) |
21 |
||||
Currently schooling |
|||||||
Yes |
115 (36.5) |
200 (63.5) |
315 |
0.002 |
|
1 |
0.966 |
No |
33 (36.3) |
58 (63.7) |
91 |
||||
Level of education |
|||||||
Junior Secondary |
9 (17.3) |
43 (82.7) |
52 |
14.198 |
|
2 |
0.001 |
Senior Secondary |
90 (35.7) |
162 (64.3) |
252 |
||||
Tertiary |
49 (48.0) |
53 (52.0) |
102 |
||||
Employment status |
|||||||
Employed |
49 (36.0) |
87 (64.0) |
136 |
0.016 |
|
1 |
0.900 |
Not employed |
99 (36.7) |
171 (63.3) |
270 |
||||
Total |
148 |
258 |
406 |
|
|
|
|
Monthly income ( |
|||||||
N0-N999 |
6 (18.2) |
27 (81.8) |
33 |
|
15.163 |
|
0.025 |
N10,000- N19,999 |
12 (44.4) |
15 (55.6) |
27 |
||||
N20,000-N29,999 |
8 (50.0) |
8 (50.0) |
16 |
||||
N30,000-N39,999 |
4 (33.3) |
8 (66.7) |
12 |
||||
N40,000-N49,999 |
3 (30.0) |
7 (70.0) |
10 |
||||
N50,00-N59,999 |
4 (100.0) |
0 (0.0) |
4 |
||||
N60,000-N69,999 |
3 (60.0) |
2 (40.0) |
5 |
||||
≥ N70,000 |
9 (31.0) |
20 (69.0) |
29 |
||||
Total |
49 |
87 |
136 |
|
|
|
|
There is a statistically significant association between
respondents’ awareness of the health effects of alcohol consumption and their
ages, religion, level of education, and monthly income (p<0.05).
Table 3.42: Association between alcohol
consumption and level of awareness of the health effects of alcohol
consumption (n=406)
Variables |
Level of awareness |
Total |
X² |
Fisher’s
test |
df |
P-value |
|
Good (%) |
Poor (%) |
||||||
Lifetime drinkers |
|||||||
Yes |
56 (36.6) |
97 (43.4) |
153 |
0.002 |
|
1 |
0.962 |
No |
92 (36.4) |
161 (63.6) |
253 |
||||
Current drinkers (n=153) |
|||||||
Yes |
48 (38.4) |
77 (61.6) |
125 |
0.952 |
|
1 |
0.322 |
No |
8 (28.6) |
20 (71.4) |
28 |
||||
No. of bottles consumed per
sitting (n=138) |
|||||||
1-2 |
17 (37.8) |
28 (62.2) |
45 |
2.419 |
|
2 |
0.298 |
3-4 |
15 (33.3) |
30 (66.7) |
45 |
||||
5+ |
21 (43.8) |
27 (56.3) |
48 |
||||
No. of calabashes consumed per
sitting (n=59) |
|||||||
1-2 |
5 (25.0) |
15 (75.0) |
20 |
0.391 |
|
1 |
0.531 |
3-4 |
11 (36.7) |
19 (63.3) |
30 |
||||
5+ |
1 (11.1) |
8 (88.9) |
9 |
||||
Total |
17 |
42 |
59 |
|
|
|
|
There
is no statistically significant relationship between lifetime drinkers, current
drinkers, number of bottles or calabashes consumed per sitting, or level of
awareness of the health effects of alcohol consumption among respondents
(p<0.05).
4.
Discussion
The respondents for this study were within the
age range of 15–24 years, with almost half (46.6%) being within 15–17 years
(Table 4.1). It can be inferred that most of the respondents are young adults
who are under 18 years old. This is the age in life where cognitive development
attains its peak and teenagers begin to assume adult duties and
responsibilities. It is also the legally acceptable age for alcohol consumption
in most parts of the world. However, this age distribution is in contrast to the
findings of Ogundeko T. and Agofure O. et al. in Kagoro, Kaduna
State, and Delta State, southern Nigeria, respectively, where the respondents
were between the ages of 10–24 and 11–25 years, with the majority between the
ages of 15–19 (84.75%) and 13–15 (46.88%), respectively. 23-24 This study is also in contrast to the findings of Chikere and
Mayowa and Odeyemi et al. in Owerri, southeast Nigeria, and Lagos,
south-west Nigeria, respectively, whose respondents were 16 years and older,
with the majority within 26+ years and 16-20 years (at 42.5% and 44.4%) age
groups, respectively. 25-26
5.
Limitations of the Study
1. Alcoholic beverages in Nigeria have slight variations in their
alcoholic contents, and there are no guidelines for standard drinks in Nigeria.
Also, the calabashes used for consuming local alcoholic beverages such as burukutu, pito,
and palm wine do not have a fixed size. Therefore, it may be difficult to
estimate how much alcohol each person consumes.
2.
The health effects of
alcohol are not fully or comprehensively explored in this study.
3. The awareness of the health effects of alcohol consumption may
vary with the type of alcohol consumed, and this study has not separated the
health effects by alcohol type.
4. This study captures only a few factors (i.e., the
association between alcohol consumption and respondents’ knowledge of its
health effects with their socio-demographic characteristics, etc.) contributing
to alcohol consumption; hence, it cannot explain all the reasons for alcohol
consumption among young adults in the study area, such as peer pressure,
culture, family, curiosity, poverty, pleasure, etc.
5. It may not be possible to generalize the results of this study
given the small sample size (in this case, of young adults). Hence, there is a
need for a larger sample size within this group. Hence, there is a need for a
larger sample size within this group.
6.
Recommendations
1. Parents at the family level should properly monitor and counsel
their adolescent children on alcohol consumption and its effects on their
health.
2. Local youth groups and leaders (such as Nhung Jjei Development
Association (NJDA) and Bajju Development Association (BADA)) should organize
regular seminars for young adults to provide education on the health-related
harms associated with alcohol consumption.
3. Community leaders,
religious leaders, and groups (such as pastors, imams, Bakunvwon Baranzan,
Christian Association of Nigeria (CAN), Boys Brigade and Girls Brigade Nigeria,
Islamic Educational Trust, Jama’atu Nasril Islam, etc.) through their local
chapters in Zonkwa should educate their members about the health risks
associated with alcohol consumption and encourage drinkers to abstain from
alcohol consumption or avoid the harmful use of alcohol.
4. The Zangon Kataf LGA should
support health education initiatives and health counseling programs that seek to
reduce alcohol consumption by students. Teachers of health education, school
health counselors, and school administrators should all be advocates for these
programs.
5. School teachers, staff
members, and parents can work together through Parent Teacher Associations
(PTA) to educate adolescents on the health effects of alcohol consumption and
apply appropriate corrective and disciplinary measures where necessary.
6. Zangon Kataf Local
Government Council should develop and implement policies that will educate young
adults, in particular, and the entire people of Zonkwa town, as well as the
whole local government area, about alcohol-related health problems through
local town criers, social media, radio, and television programs, posters,
health talks in hospitals (both public and private), and community health
programs.
7. The Kaduna State
Government, through the Ministry of Education, should include psychoactive
substance use and its risks and hazards in the curriculum of students and have
this taught as a subject, particularly at the secondary school level.
8. The legislative branches of
the Federal Government of Nigeria and Kaduna State should pass laws
establishing a legal drinking and purchasing age for alcohol (for example, 18
years old, the age at which adolescents formally begin to assume adult roles
and responsibilities). Also, alcohol and other psychoactive substances
should carry fines or other penalties for possession.
7.
Conclusion
The prevalence rates of
lifetime and current alcohol consumption among the respondents in this study
were relatively high (37.7% and 81.7%, respectively). The most vulnerable
categories are males between the ages of 20 and 24, Christians, those who are
single, those who are currently in school, those who are currently in school,
those who have completed a tertiary degree, and those who are gainfully
employed, regardless of their monthly salary. Nearly two-thirds (63.4%) of
the drinkers say that friends introduced them to alcohol, and about a quarter
(28.1%) report having their first alcoholic drink with friends. The significant
justifications for drinking were to socialize and mingle with friends (42.5%),
for the enjoyment and fun of it, and out of curiosity (at 22.9% and 12.4%,
respectively). Family plays a significant role in determining the prevalence of
alcohol use in the study area, as approximately 25.5% of alcohol users first
learned about alcohol from family members.
Acknowledgments
I am profoundly grateful to the editor and
reviewers for their constructive remarks regarding this research. Many thanks
to my research assistants, supporters, and all the young adults who made this
study a success.
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