Evidence map›Paper›PMID 26651332›Full record

ArticleBMC psychiatry2015

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.

Rachel Jenkins, Caleb Othieno, Linnet Ongeri, Peter Sifuna, Michael Ongecha, James Kingora, David Kiima, Raymond Omollo, Bernhards Ogutu

Abstract read
In one paragraph

Article in BMC psychiatry, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

20 citing papers in PubMed.

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  13. Mapping the Current and Future Noncommunicable Disease Burden in Kenya by Human Immunodeficiency Virus Status: A Modeling Study.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2020
    Article
  14. Observational
  15. Article
  16. Article
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  19. Malaria and mental disorder: a population study in an area endemic for malaria in Kenya.World psychiatry : official journal of the World Psychiatric Association (WPA) · 2017
    Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Rachel JenkinsHealth Services and Population Research Department, Institute of Psychiatry, Kings College London, de Crespigny Park, London, SE 5 8AF, UK. Rachel.1.jenkins@kcl.ac.uk.
Caleb OthienoDepartment of Psychiatry, University of Nairobi, Nairobi, Kenya. cjothieno@uonbi.ac.ke.
Linnet OngeriKenya Medical Research Institute, Kisumu, Kenya. longeri@kemri.org.
Peter SifunaKenya Medical Research Institute, Kisumu, Kenya. psifuna@yahoo.com.
Michael OngechaKenya Medical Research Institute, Kisumu, Kenya. michaelongecha@yahoo.com.
James KingoraKenya Medical Training College, Nairobi, Kenya. jkmboroki@yahoo.com.
David KiimaMinistry of Health, Nairobi, Kenya. dmkiima@gmail.com.
Raymond OmolloKenya Medical Research Institute, Kisumu, Kenya. romollov@yahoo.co.uk.
Bernhards OgutuKenya Medical Research Institute, Kisumu, Kenya. ogutu6@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRepeat 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.

methodsOne 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%.

resultsThe 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).

conclusionCommon 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.

Indexed as

AdultFamily CharacteristicsFemaleHumansKenyaMaleMental DisordersMental HealthMiddle AgedPrevalenceRisk FactorsRural PopulationYoung Adult

Identifiers

PMID26651332
PMCPMC4673710

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.