Health &amp; Demographic Surveillance System Profile: The Nairobi Urban Health and Demographic Surveillance System (NUHDSS)

Béguy, Donatien; Elungata, Patricia; Mberu, Blessing; Oduor, Clement; Wamukoya, Marylene; Nganyi, Bonface; Ezeh, Alex

doi:10.1093/ije/dyu251

Cited by 151 publications

(158 citation statements)

References 13 publications

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“…The primary aim of the AWI-Gen study is to explore genetic and environmental factors that contribute to cardio-metabolic disease in African populations. The Nairobi Urban Health & Demographic Surveillance System (NUHDSS) in Kenya [15], where this study was conducted is one of six AWI-Gen sites in four Sub-Saharan African countries [14]. The NUHDSS, the first urban-based HDSS in SSA, was established in 2002 currently following a population of about 75,000 individuals in approximately 24,000 households in Korogocho and Viwandani slums in Nairobi [15].…”

Section: Methodsmentioning

confidence: 99%

Sociodemographic and behavioural factors associated with body mass index among men and women in Nairobi slums: AWI-Gen Project

Asiki

Mohamed

Wambui

et al. 2018

Global Health Action

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Background: Body mass index (BMI) is rising globally with a faster increase in urban areas in low- and middle-income countries. It is critical to identify modifiable risk factors for BMI to prevent the occurrence of associated health consequences. Objective: To investigate socio-demographic, behavioural and biological factors associated with BMI in Nairobi slums. Methods: In 2014-2015, a cross sectional study of men and women aged 40–60 years in Nairobi slums (Korogocho and Viwandani) was conducted. Data were collected on socio-demographic, behavioural and biological characteristics. Mean BMI, overweight and obesity were computed. Hierarchical multiple linear regression analysis was conducted separately for men and women to explore factors associated with BMI. Results: In total, 1942 study participants (54.4%, women) with a mean age (SD) of 48.3 (5.3) years and 48.8(5.6) years for women and men respectively were recruited. Mean BMI was higher among women than men (27.6 versus 22.8; p < 0.001). More women were overweight (30.9% versus 19.6%; p < 0.001) and obese (32.1% versus 5.1%; p < 0.001) than men. Among men, BMI was independently associated with wealth index, bread consumption and self-reported diabetes and was negatively associated with current tobacco smoking, HIV and TB infections. Among women, BMI was independently associated with wealth, current non-problematic drinking, and sedentary time, but was lower among other ethnicities compared to Kikuyu, among current smokers, women with longer sleep, and those with HIV infection and tuberculosis. Wealth index contributed the most variance in BMI among women and men (10.4%, 7.5%, respectively), but behavioural factors (7.4%) among men and biological factors (6.5%) among women accounted for most of the additional BMI variance. Conclusions: Adults aged 40–60 years in the urban slums of Nairobi have a high BMI associated with wealth. Bread consumption by men and sedentary life among women are the main risky behaviours that need urgent targeted interventions.

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Section: Methodsmentioning

confidence: 99%

Sociodemographic and behavioural factors associated with body mass index among men and women in Nairobi slums: AWI-Gen Project

Asiki

Mohamed

Wambui

et al. 2018

Global Health Action

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“…The NUHDSS covers 14 villages in both slum settlements with a population of about 65,000 individuals living in about 24,000 households in the two settlements (Beguy et al. 2015). Both settlements are characterized by high levels of unemployment, sub‐standard and overcrowded housing, limited education and social services, high levels of crime and insecurity, and inadequate water and sanitation infrastructure.…”

Section: Methodsmentioning

confidence: 99%

Method‐Specific Attributes that Influence Choice of Future Contraception Among Married Women in Nairobi's Informal Settlements

Mumah¹,

Casterline²,

Machiyama³

et al. 2018

Studies in Family Planning

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Despite an extensive evidence base on contraceptive method choice, it remains uncertain which factors are most influential in predisposing women toward certain methods and against others. This paper addresses this gap in knowledge by making use of rarely‐measured perceptions about specific methods, perceived social network experience of methods, and women's own past experiences using specific methods. We draw on baseline data from the project, “Improving Measurement of Unintended Pregnancy and Unmet Need for Family Planning.” Using conditional logit analysis, we ascertain which perceived method‐specific attributes, including past experience of methods by women themselves and by their friends, predict preferred future contraceptive method among 317 women living in Nairobi slums who are using no method but intend to start in the next 12 months. Results show that satisfaction with past use, positive experience of use by a woman's social network, husband/partner's approval, lack of interference with menses, and perception of safety for long term use were all associated with choice of a future method.

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“…The survey was conducted between May 2008 and April 2009 within the Nairobi Urban and Health Demographic Surveillance System (NUHDSS), which is run by the African Population and Health Research Center (APHRC). Detailed methodology of the NUHDSS is reported elsewhere [22, 23]. A total of 5190 residents of the two slums were randomly selected and stratified by sex and age using a sampling frame that included all adults aged 18 years or older in the NUHDSS.…”

Section: Methodsmentioning

confidence: 99%

Measurement of overweight and obesity an urban slum setting in sub-Saharan Africa: a comparison of four anthropometric indices

Haregu

Oti²,

Egondi³

et al. 2016

BMC Obes

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BackgroundAs a result of both genetic and environmental factors, the body composition and topography of African populations are presumed to be different from western populations. Accordingly, globally accepted anthropometric markers may perform differently in African populations. In the era of rapid emergence of cardio-vascular diseases in sub-Saharan Africa, evidence about the performance of these markers in African settings is essential. The aim of this study was to investigate the inter-relationships among the four main anthropometric indices in measuring overweight and obesity in an urban poor African setting.MethodsData from a cardiovascular disease risk factor assessment study in urban slums of Nairobi were analyzed. In the major study, data were collected from 5190 study participants. We considered four anthropometric markers of overweight and obesity: Body Mass Index, Waist Circumference, Waist to Hip Ratio, and Waist to Height Ratio. Pairwise correlations and kappa statistics were used to assess the relationship and agreement among these markers, respectively. Discordances between the indices were also analyzed.ResultsThe weighted prevalence of above normal body composition was 21.6 % by body mass index, 28.9 % by waist circumference, 45.5 % by waist to hip ratio, and 38.9 % by waist to height ratio. The overall inter-index correlation was +0.44. Waist to hip ratio generally had lower correlation with the other anthropometric indices. High level of discordance exists between body mass index and waist to hip ratio. Combining the four indices shows that 791 (16.1 %) respondents had above normal body composition in all four indices. Waist circumference better predicted hypertension and hyperglycemia while waist to height ratio better predicted hypercholesterolemia.ConclusionsThere exists a moderate level of correlation and a remarkable level of discordance among the four anthropometric indices with regard to the ascertainment of abnormal body composition in an urban slum setting in Africa. Waist circumference is a better predictor of cardio-metabolic risk.

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Health & Demographic Surveillance System Profile: The Nairobi Urban Health and Demographic Surveillance System (NUHDSS)

Cited by 151 publications

References 13 publications

Sociodemographic and behavioural factors associated with body mass index among men and women in Nairobi slums: AWI-Gen Project

Sociodemographic and behavioural factors associated with body mass index among men and women in Nairobi slums: AWI-Gen Project

Method‐Specific Attributes that Influence Choice of Future Contraception Among Married Women in Nairobi's Informal Settlements

Measurement of overweight and obesity an urban slum setting in sub-Saharan Africa: a comparison of four anthropometric indices

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