Skip to main content
Top
Published in: BMC Psychiatry 1/2017

Open Access 01-12-2017 | Research article

Correlates of alcohol consumption in rural western Kenya: A cross-sectional study

Authors: Risa Takahashi, Calistus Wilunda, Karani Magutah, Wanja Mwaura-Tenambergen, Boniface Wilunda, Usaneya Perngparn

Published in: BMC Psychiatry | Issue 1/2017

Login to get access

Abstract

Background

Studies on alcohol consumption in rural areas in sub-Saharan Africa are scarce. This study aimed to determine the prevalence and determinants of alcohol consumption in rural western Kenya. The study was conducted as a preliminary stage of a community-based intervention to reduce hazardous alcohol consumption.

Methods

A cross-sectional survey of 478 participants aged 18–65 years residing in Ikolomani Sub-county, Kakamega County was conducted in April 2015. Data were collected using an interviewer-administered questionnaire. We defined current drinkers as participants who consumed any alcoholic product in the preceding one month, and hazardous/high-risk drinkers as participants with an Alcohol Use Disorders Identification Test (AUDIT) score of 8 and above. We summarised data using descriptive statistics and used logistic regression to explore for the correlates of each of current alcohol consumption and hazardous/high-risk alcohol consumption.

Results

The sex-standardized prevalence of current alcohol drinkers was 31.7% (95% confidence interval (CI): 26.8%–37.2%). The prevalence was higher in men (54.6%) than in women (8.9%). The mean AUDIT score among current drinkers was 16.9 (SD 8.2) and the sex-standardized prevalence of hazardous/high-risk alcohol drinking was 28.7% (95% CI: 24.1%–34.0%). Traditional brews were the most commonly consumed types of alcohol and most drinkers took alcohol in the homes of alcohol sellers/brewers. In multivariate analyses, the number of drinkers in the family, the number of friends who are drinkers and the attitude towards alcohol intake were positively associated with current alcohol drinking status, and with hazardous/high-risk alcohol consumption. Women were less likely to be current drinkers and hazardous/high-risk drinkers than were men. Other socio-demographic factors were not significantly associated with alcohol consumption.

Conclusions

The prevalence of alcohol consumption in the study area was higher than the national level estimate of 13.3%. The results suggest that the social environment is the main determinant of alcohol consumption in this setting. These findings imply that interventions to mitigate alcohol consumption in this area will have to target the social networks of the alcohol consumers, change the drinkers’ attitude towards alcohol, and tackle the issue of availability of unlicensed homemade brews.
Appendix
Available only for authorised users
Literature
1.
go back to reference Jenkins R, Othieno C, Ongeri L, Kiima D, Sifuna P, Kingora J, Omollo R, Ogutu B. Alcohol consumption and hazardous drinking in western Kenya--a household survey in a health and demographic surveillance site. BMC psychiatry. 2015;15:230.CrossRefPubMedPubMedCentral Jenkins R, Othieno C, Ongeri L, Kiima D, Sifuna P, Kingora J, Omollo R, Ogutu B. Alcohol consumption and hazardous drinking in western Kenya--a household survey in a health and demographic surveillance site. BMC psychiatry. 2015;15:230.CrossRefPubMedPubMedCentral
2.
go back to reference WHO. Global status report on alcohol and health. Geneva: World Health Organization; 2011. WHO. Global status report on alcohol and health. Geneva: World Health Organization; 2011.
3.
go back to reference Corrao G, Bagnardi V, Zambon A, La Vecchia C. A meta-analysis of alcohol consumption and the risk of 15 diseases. Prev Med. 2004;38(5):613–9.CrossRefPubMed Corrao G, Bagnardi V, Zambon A, La Vecchia C. A meta-analysis of alcohol consumption and the risk of 15 diseases. Prev Med. 2004;38(5):613–9.CrossRefPubMed
4.
go back to reference WHO. Global strategy to reduce the harmful use of alcohol. Geneva: World Health Organization; 2010. WHO. Global strategy to reduce the harmful use of alcohol. Geneva: World Health Organization; 2010.
5.
go back to reference Ferreira-Borges C, Rehm J, Dias S, Babor T, Parry CD. The impact of alcohol consumption on African people in 2012: an analysis of burden of disease. Tropical medicine & international health : TM & IH. 2016;21(1):52–60.CrossRef Ferreira-Borges C, Rehm J, Dias S, Babor T, Parry CD. The impact of alcohol consumption on African people in 2012: an analysis of burden of disease. Tropical medicine & international health : TM & IH. 2016;21(1):52–60.CrossRef
6.
go back to reference Teferra S, Medhin G, Selamu M, Bhana A, Hanlon C, Fekadu A. Hazardous alcohol use and associated factors in a rural Ethiopian district: a cross-sectional community survey. BMC Public Health. 2016;16:218.CrossRefPubMedPubMedCentral Teferra S, Medhin G, Selamu M, Bhana A, Hanlon C, Fekadu A. Hazardous alcohol use and associated factors in a rural Ethiopian district: a cross-sectional community survey. BMC Public Health. 2016;16:218.CrossRefPubMedPubMedCentral
7.
go back to reference Kabwama SN, Ndyanabangi S, Mutungi G, Wesonga R, Bahendeka SK, Guwatudde D. Alcohol use among adults in Uganda: findings from the countrywide non-communicable diseases risk factor cross-sectional survey. Glob Health Action. 2016;9:31302.CrossRef Kabwama SN, Ndyanabangi S, Mutungi G, Wesonga R, Bahendeka SK, Guwatudde D. Alcohol use among adults in Uganda: findings from the countrywide non-communicable diseases risk factor cross-sectional survey. Glob Health Action. 2016;9:31302.CrossRef
8.
go back to reference Odero W. Alcohol-related road traffic injuries in Eldoret, Kenya. East Afr Med J. 1998;75(12):708–11.PubMed Odero W. Alcohol-related road traffic injuries in Eldoret, Kenya. East Afr Med J. 1998;75(12):708–11.PubMed
9.
go back to reference Gichangi P: Domestic violence in Kenya: report of a baseline survey among women in Nairobi. Kenya FIDA Kenya; 2002. Gichangi P: Domestic violence in Kenya: report of a baseline survey among women in Nairobi. Kenya FIDA Kenya; 2002.
12.
go back to reference Drummond C, Deluca P, Coulton S, Bland M, Cassidy P, Crawford M, Dale V, Gilvarry E, Godfrey C, Heather N, et al. The effectiveness of alcohol screening and brief intervention in emergency departments: a multicentre pragmatic cluster randomized controlled trial. PLoS One. 2014;9(6):e99463.CrossRefPubMedPubMedCentral Drummond C, Deluca P, Coulton S, Bland M, Cassidy P, Crawford M, Dale V, Gilvarry E, Godfrey C, Heather N, et al. The effectiveness of alcohol screening and brief intervention in emergency departments: a multicentre pragmatic cluster randomized controlled trial. PLoS One. 2014;9(6):e99463.CrossRefPubMedPubMedCentral
13.
go back to reference Wiesmann U, Kiteme B, Mwangi Z. Socio-economic atlas of Kenya: depicting the National Population Census by county and sub-location. Kenya National Bureau of Statistics, Centre for Training and Integrated Research in ASAL Development, Centre for Development and Environment: Nairobi, Nanyuki, Bern; 2016. Wiesmann U, Kiteme B, Mwangi Z. Socio-economic atlas of Kenya: depicting the National Population Census by county and sub-location. Kenya National Bureau of Statistics, Centre for Training and Integrated Research in ASAL Development, Centre for Development and Environment: Nairobi, Nanyuki, Bern; 2016.
15.
go back to reference NACADA: Rapid situation assessment of the status of drug and substance abuse in Kenya, 2012. Nairobi: NACADA; 2012. NACADA: Rapid situation assessment of the status of drug and substance abuse in Kenya, 2012. Nairobi: NACADA; 2012.
16.
go back to reference Kish L. Survey sampling. New York: John Wiley and Sons, Inc.; 1965. Kish L. Survey sampling. New York: John Wiley and Sons, Inc.; 1965.
17.
go back to reference Bostoen K, Chalabi Z. Optimization of household survey sampling without sample frames. Int J Epidemiol. 2006;35(3):751–5.CrossRefPubMed Bostoen K, Chalabi Z. Optimization of household survey sampling without sample frames. Int J Epidemiol. 2006;35(3):751–5.CrossRefPubMed
18.
go back to reference Milligan P, Njie A, Bennett S. Comparison of two cluster sampling methods for health surveys in developing countries. Int J Epidemiol. 2004;33(3):469–76.CrossRefPubMed Milligan P, Njie A, Bennett S. Comparison of two cluster sampling methods for health surveys in developing countries. Int J Epidemiol. 2004;33(3):469–76.CrossRefPubMed
19.
go back to reference Saunders JB, Aasland OG, Babor TF, de la Fuente JR, Grant M. Development of the alcohol use disorders Identification test (AUDIT): WHO collaborative project on early detection of persons with harmful alcohol consumption--II. Addiction. 1993;88(6):791–804.CrossRefPubMed Saunders JB, Aasland OG, Babor TF, de la Fuente JR, Grant M. Development of the alcohol use disorders Identification test (AUDIT): WHO collaborative project on early detection of persons with harmful alcohol consumption--II. Addiction. 1993;88(6):791–804.CrossRefPubMed
20.
go back to reference WHO. Audit the alcohol use disorders Identification test. Geneva: WHO; 2001. WHO. Audit the alcohol use disorders Identification test. Geneva: WHO; 2001.
21.
go back to reference United Nations. Transforming our world: the 2030 agenda for sustainable Development. New York: United Nations; 2015. United Nations. Transforming our world: the 2030 agenda for sustainable Development. New York: United Nations; 2015.
22.
go back to reference Conigrave KM, Hall WD, Saunders JB. The AUDIT questionnaire: choosing a cut-off score. Alcohol use disorder Identification test. Addiction. 1995;90(10):1349–56.CrossRefPubMed Conigrave KM, Hall WD, Saunders JB. The AUDIT questionnaire: choosing a cut-off score. Alcohol use disorder Identification test. Addiction. 1995;90(10):1349–56.CrossRefPubMed
23.
go back to reference Allen JP, Litten RZ, Fertig JB, Babor T. A review of research on the alcohol use disorders Identification test (AUDIT). Alcohol Clin Exp Res. 1997;21(4):613–9.CrossRefPubMed Allen JP, Litten RZ, Fertig JB, Babor T. A review of research on the alcohol use disorders Identification test (AUDIT). Alcohol Clin Exp Res. 1997;21(4):613–9.CrossRefPubMed
24.
go back to reference WHO. Global strategy to reduce the harmful use of alcohol. Geneva: WHO; 2012. WHO. Global strategy to reduce the harmful use of alcohol. Geneva: WHO; 2012.
25.
go back to reference WHO. Global status report on alcohol and health 2014. Geneva: WHO; 2014. WHO. Global status report on alcohol and health 2014. Geneva: WHO; 2014.
27.
go back to reference National Council for Law Reporting: The Changáa Prohibition Act, Cap 70. Nairobi: National Council for Law Reporting; 1980. National Council for Law Reporting: The Changáa Prohibition Act, Cap 70. Nairobi: National Council for Law Reporting; 1980.
28.
go back to reference Papas RK, Sidle JE, Wamalwa ES, Okumu TO, Bryant KL, Goulet JL, Maisto SA, Braithwaite RS, Justice AC. Estimating alcohol content of traditional brew in western Kenya using culturally relevant methods: the case for cost over volume. AIDS Behav. 2010;14(4):836–44.CrossRefPubMed Papas RK, Sidle JE, Wamalwa ES, Okumu TO, Bryant KL, Goulet JL, Maisto SA, Braithwaite RS, Justice AC. Estimating alcohol content of traditional brew in western Kenya using culturally relevant methods: the case for cost over volume. AIDS Behav. 2010;14(4):836–44.CrossRefPubMed
29.
go back to reference Johnstone MB, Peter KK. Production and consumption of non-standardised alcohol in Kenya: with whom does the Buck stop. Global Journal of Arts, Humanities and Social Sciences. 2015;3(10):8–16. Johnstone MB, Peter KK. Production and consumption of non-standardised alcohol in Kenya: with whom does the Buck stop. Global Journal of Arts, Humanities and Social Sciences. 2015;3(10):8–16.
30.
go back to reference National Council for Law Reporting: The Alcoholic Drinks Control Act , 2010. Nairobi: National Council for Law Reporting; 2012. National Council for Law Reporting: The Alcoholic Drinks Control Act , 2010. Nairobi: National Council for Law Reporting; 2012.
31.
go back to reference Republic of Kenya. The alcoholic drinks Control (amendment) bill. Nairobi: Government Printer; 2013. Republic of Kenya. The alcoholic drinks Control (amendment) bill. Nairobi: Government Printer; 2013.
32.
go back to reference Rathod SD, Nadkarni A, Bhana A, Shidhaye R. Epidemiological features of alcohol use in rural India: a population-based cross-sectional study. BMJ Open. 2015;5(12):e009802.CrossRefPubMedPubMedCentral Rathod SD, Nadkarni A, Bhana A, Shidhaye R. Epidemiological features of alcohol use in rural India: a population-based cross-sectional study. BMJ Open. 2015;5(12):e009802.CrossRefPubMedPubMedCentral
Metadata
Title
Correlates of alcohol consumption in rural western Kenya: A cross-sectional study
Authors
Risa Takahashi
Calistus Wilunda
Karani Magutah
Wanja Mwaura-Tenambergen
Boniface Wilunda
Usaneya Perngparn
Publication date
01-12-2017
Publisher
BioMed Central
Published in
BMC Psychiatry / Issue 1/2017
Electronic ISSN: 1471-244X
DOI
https://doi.org/10.1186/s12888-017-1344-9

Other articles of this Issue 1/2017

BMC Psychiatry 1/2017 Go to the issue