Cargando…
Common mental disorder in Nyanza province, Kenya in 2013 and its associated risk factors –an assessment of change since 2004, using a repeat household survey in a demographic surveillance site
BACKGROUND: Repeat household surveys are useful to assess change in prevalence over time, but there have been no repeat surveys of common mental disorder (CMD) in Kenya, or indeed sub-Saharan Africa. Therefore a repeat household survey of CMD and its associated risk factors was conducted in Maseno a...
Autores principales: | , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2015
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4673710/ https://www.ncbi.nlm.nih.gov/pubmed/26651332 http://dx.doi.org/10.1186/s12888-015-0693-5 |
_version_ | 1782404791066951680 |
---|---|
author | Jenkins, Rachel Othieno, Caleb Ongeri, Linnet Sifuna, Peter Ongecha, Michael Kingora, James Kiima, David Omollo, Raymond Ogutu, Bernhards |
author_facet | Jenkins, Rachel Othieno, Caleb Ongeri, Linnet Sifuna, Peter Ongecha, Michael Kingora, James Kiima, David Omollo, Raymond Ogutu, Bernhards |
author_sort | Jenkins, Rachel |
collection | PubMed |
description | BACKGROUND: Repeat household surveys are useful to assess change in prevalence over time, but there have been no repeat surveys of common mental disorder (CMD) in Kenya, or indeed sub-Saharan Africa. Therefore a repeat household survey of CMD and its associated risk factors was conducted in Maseno area, Kisumu county in Kenya, using a demographic surveillance site as the sample frame, in order to test the hypotheses that (a) the prevalence of CMD would increase between 2004 and 2013 due to the intervening political, social and economic pressures; (b) as in 2004, there would be no gender difference in prevalence of CMD. METHODS: One thousand one hundred ninety households were selected, and 1158 adult participants consented to be interviewed with a structured epidemiological assessment while 32 refused to participate in the study interviews, giving a response rate of 97.3 %. RESULTS: The study found that the overall prevalence of CMD in 2013 was 10.3 %. However, there were significantly higher rates of having any CMD in 2013 if one was female (OR 6.2, p < 0.001), divorced/widowed (OR 2.5, p < 0.003), aged over 60 (OR 2.3, p = 0.052), either self-employed (OR 3.3 p < 0.001) or employed (OR 3.3, p < 0.001), or belonged to the lowest asset quintile (OR 2.5, p = .0.004) after adjusting for other variables significant at the bivariate level. The overall prevalence in 2013 was consistent with that found in 2004, despite intervening political and community turbulence. However, this apparent consistency masks the development of a striking difference in prevalence between the genders. Over the decade 2004–13, the prevalence for men dropped from 10.9 to 3.8 % (P = 0.001) and the prevalence for women increased from 10.8 to 17.5 % (p = 0.001). CONCLUSION: Common mental disorders continue to pose a significant public health burden in Kenya, and gender related vulnerability merits further research and is relevant for health worker training. |
format | Online Article Text |
id | pubmed-4673710 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-46737102015-12-10 Common mental disorder in Nyanza province, Kenya in 2013 and its associated risk factors –an assessment of change since 2004, using a repeat household survey in a demographic surveillance site Jenkins, Rachel Othieno, Caleb Ongeri, Linnet Sifuna, Peter Ongecha, Michael Kingora, James Kiima, David Omollo, Raymond Ogutu, Bernhards BMC Psychiatry Research Article BACKGROUND: Repeat household surveys are useful to assess change in prevalence over time, but there have been no repeat surveys of common mental disorder (CMD) in Kenya, or indeed sub-Saharan Africa. Therefore a repeat household survey of CMD and its associated risk factors was conducted in Maseno area, Kisumu county in Kenya, using a demographic surveillance site as the sample frame, in order to test the hypotheses that (a) the prevalence of CMD would increase between 2004 and 2013 due to the intervening political, social and economic pressures; (b) as in 2004, there would be no gender difference in prevalence of CMD. METHODS: One thousand one hundred ninety households were selected, and 1158 adult participants consented to be interviewed with a structured epidemiological assessment while 32 refused to participate in the study interviews, giving a response rate of 97.3 %. RESULTS: The study found that the overall prevalence of CMD in 2013 was 10.3 %. However, there were significantly higher rates of having any CMD in 2013 if one was female (OR 6.2, p < 0.001), divorced/widowed (OR 2.5, p < 0.003), aged over 60 (OR 2.3, p = 0.052), either self-employed (OR 3.3 p < 0.001) or employed (OR 3.3, p < 0.001), or belonged to the lowest asset quintile (OR 2.5, p = .0.004) after adjusting for other variables significant at the bivariate level. The overall prevalence in 2013 was consistent with that found in 2004, despite intervening political and community turbulence. However, this apparent consistency masks the development of a striking difference in prevalence between the genders. Over the decade 2004–13, the prevalence for men dropped from 10.9 to 3.8 % (P = 0.001) and the prevalence for women increased from 10.8 to 17.5 % (p = 0.001). CONCLUSION: Common mental disorders continue to pose a significant public health burden in Kenya, and gender related vulnerability merits further research and is relevant for health worker training. BioMed Central 2015-12-09 /pmc/articles/PMC4673710/ /pubmed/26651332 http://dx.doi.org/10.1186/s12888-015-0693-5 Text en © Jenkins et al. 2015 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Article Jenkins, Rachel Othieno, Caleb Ongeri, Linnet Sifuna, Peter Ongecha, Michael Kingora, James Kiima, David Omollo, Raymond Ogutu, Bernhards Common mental disorder in Nyanza province, Kenya in 2013 and its associated risk factors –an assessment of change since 2004, using a repeat household survey in a demographic surveillance site |
title | Common mental disorder in Nyanza province, Kenya in 2013 and its associated risk factors –an assessment of change since 2004, using a repeat household survey in a demographic surveillance site |
title_full | Common mental disorder in Nyanza province, Kenya in 2013 and its associated risk factors –an assessment of change since 2004, using a repeat household survey in a demographic surveillance site |
title_fullStr | Common mental disorder in Nyanza province, Kenya in 2013 and its associated risk factors –an assessment of change since 2004, using a repeat household survey in a demographic surveillance site |
title_full_unstemmed | Common mental disorder in Nyanza province, Kenya in 2013 and its associated risk factors –an assessment of change since 2004, using a repeat household survey in a demographic surveillance site |
title_short | Common mental disorder in Nyanza province, Kenya in 2013 and its associated risk factors –an assessment of change since 2004, using a repeat household survey in a demographic surveillance site |
title_sort | common mental disorder in nyanza province, kenya in 2013 and its associated risk factors –an assessment of change since 2004, using a repeat household survey in a demographic surveillance site |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4673710/ https://www.ncbi.nlm.nih.gov/pubmed/26651332 http://dx.doi.org/10.1186/s12888-015-0693-5 |
work_keys_str_mv | AT jenkinsrachel commonmentaldisorderinnyanzaprovincekenyain2013anditsassociatedriskfactorsanassessmentofchangesince2004usingarepeathouseholdsurveyinademographicsurveillancesite AT othienocaleb commonmentaldisorderinnyanzaprovincekenyain2013anditsassociatedriskfactorsanassessmentofchangesince2004usingarepeathouseholdsurveyinademographicsurveillancesite AT ongerilinnet commonmentaldisorderinnyanzaprovincekenyain2013anditsassociatedriskfactorsanassessmentofchangesince2004usingarepeathouseholdsurveyinademographicsurveillancesite AT sifunapeter commonmentaldisorderinnyanzaprovincekenyain2013anditsassociatedriskfactorsanassessmentofchangesince2004usingarepeathouseholdsurveyinademographicsurveillancesite AT ongechamichael commonmentaldisorderinnyanzaprovincekenyain2013anditsassociatedriskfactorsanassessmentofchangesince2004usingarepeathouseholdsurveyinademographicsurveillancesite AT kingorajames commonmentaldisorderinnyanzaprovincekenyain2013anditsassociatedriskfactorsanassessmentofchangesince2004usingarepeathouseholdsurveyinademographicsurveillancesite AT kiimadavid commonmentaldisorderinnyanzaprovincekenyain2013anditsassociatedriskfactorsanassessmentofchangesince2004usingarepeathouseholdsurveyinademographicsurveillancesite AT omolloraymond commonmentaldisorderinnyanzaprovincekenyain2013anditsassociatedriskfactorsanassessmentofchangesince2004usingarepeathouseholdsurveyinademographicsurveillancesite AT ogutubernhards commonmentaldisorderinnyanzaprovincekenyain2013anditsassociatedriskfactorsanassessmentofchangesince2004usingarepeathouseholdsurveyinademographicsurveillancesite |