Health &amp; Demographic Surveillance System Profile: The Dikgale Health and Demographic Surveillance System

Alberts, Marianne; Dikotope, Sekgothe; Choma, Solomon; Masemola, Matshane L.; Modjadji, S. E. P.; Mashinya, Felistas; Burger, Sandra; Cook, Ian; Brits, Sanette; Byass, Peter

doi:10.1093/ije/dyv157

Cited by 50 publications

(47 citation statements)

References 19 publications

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“…The primary aim of AWI-Gen is to study genetic and environmental factors that contribute to cardiometabolic disease in African populations. Six study sites in four SSA countries are involved in AWI-Gen: in South Africa the MRC/Wits Agincourt Health and Demographic Surveillance System Site (HDSS) (15), Dikgale HDSS (16) and the Soweto cohort located within the MRC/Wits Developmental Pathways for Health Research Unit (DPHRU) (17), in Kenya the Nairobi HDSS (18), in Ghana the Navrongo HDSS (19) and in Burkina Faso the Nanoro HDSS (20). …”

Section: Methodsmentioning

confidence: 99%

Regional and Sex Differences in the Prevalence and Awareness of Hypertension: An H3Africa AWI-Gen Study Across 6 Sites in Sub-Saharan Africa

Gómez‐Olivé

Ali

Made

et al. 2017

Self Cite

138

130

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Background There is a high prevalence of hypertension and related cardiovascular diseases in sub-Saharan Africa yet few large studies exploring hypertension in Africa are available. The actual burden of disease is poorly understood and awareness and treatment to control it is often suboptimal. Objectives To report the prevalence of measured hypertension and to assess awareness and control of blood pressure among older adults in rural and urban settings in six sites located in west, east and southern Africa. In addition, we examined regional, sex, and age differences related to hypertension. Methods A population-based cross-sectional study was performed at six sites in four African countries - Burkina Faso (Nanoro), Ghana (Navrongo), Kenya (Nairobi) and South Africa (Agincourt, Dikgale, Soweto). Blood pressure measurements were taken using standardized procedures on 10,696 adults aged 40 to 60 years. Hypertension was defined as SBP ≥ 140mm Hg and/or DBP ≥ 90 mm Hg or taking anti-hypertensive medication. Results The mean prevalence of hypertension ranged from 15.1% in Nanoro to 54.1% in Soweto. All three of the South African sites had a mean prevalence of hypertension of over 40.0%, significantly higher than Nairobi (25.6%) and Navrongo (24.5%). Prevalence increased with age in both sexes and at all sites. A significantly higher prevalence of hypertension was observed in women in Agincourt, Dikgale and Nairobi, while in Nanoro this trend was reversed. Within the hypertensive group the average proportion of participants who were aware of their blood pressure status was only 39.4% for men and 53.8% for women, and varied widely across sites. Conclusions Our study demonstrates that the prevalence of hypertension and the level of disease awareness differ not only between but also within sub-Saharan African countries. Each nation must tailor their regional hypertension awareness and screening programs to match the characteristics of their local populations.

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Section: Methodsmentioning

confidence: 99%

Regional and Sex Differences in the Prevalence and Awareness of Hypertension: An H3Africa AWI-Gen Study Across 6 Sites in Sub-Saharan Africa

Gómez‐Olivé

Ali

Made

et al. 2017

Self Cite

138

130

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“…The study was conducted in the DHDSS site [23], one of the collaborative sites under Africa Wits-INDEPTH partnership for Genomic (AWI-Gen) Study, and focuses on the interplay between genomic and environmental risk factors for cardiometabolic diseases among 40–60 year-old in four sub-Saharan African countries [24]. Currently, the DHDSS site covers 15 villages with an estimated 40000 people predominantly Ba-Pedi ethnicity who speak Se-Pedi [23]. The DHDSS site is situated 40km north-east of Polokwane, the capital city of the Limpopo Province, South Africa.…”

Section: Methodsmentioning

confidence: 99%

“…As the community is known to be highly mobile [23], trained field workers visited households that included 40–60 year-old permanent residents and invited the qualifying individuals to participate in the study. On the scheduled date, participants were transported to the study centre at the University of Limpopo, where the researchers explained the information contained in the information and consent forms and requested the participants to complete the consent form.…”

Section: Methodsmentioning

confidence: 99%

Determinants of body mass index by gender in the Dikgale Health and Demographic Surveillance System site, South Africa

Mashinya

Alberts

Cook

et al. 2018

Global Health Action

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Background: The study was conducted in the Dikgale Health and Demographic Surveillance System (DHDSS) site where we have observed increasing obesity levels, particularly in women, despite evidence of high physical activity (PA) and a relatively low daily energy intake. Objective: This study aimed to assess the socio-demographic, behavioural and biological determinants of body mass index (BMI) in adult residents permanently residing in the DHDSS. Methods: A cross-sectional study was conducted in which socio-demographic, behavioural and biological characteristics from 1143 participants (aged 40–60 years) were collected using a paper questionnaire and standard anthropometric measures. Human immunodeficiency virus (HIV) testing was performed on all participants except those who indicated that they had tested positive. Chi-square and Mann-Whitney tests were used to analyze categorical and continuous variables, respectively, while hierarchical multivariate regression was used to analyze predictors of BMI. Results: The median age of women and men was 51 (46–56) and 50 (45–55) years, respectively. The prevalence of overweight-obesity was 76% in women and 21% in men. A significant negative association of BMI with HIV and smoking and a significant positive association with socio-economic status (SES) was observed in both sexes. In women, BMI was negatively associated with sleep duration (p = 0.015) and age (p = 0.012), but positively associated with sugar-sweetened beverages (SSBs) (p = 0.08). In men, BMI was negatively associated with alcohol use (p = 0.016) and positively associated with being married (p < 0.001). PA was not associated with BMI in either sexes. Full models explained 9.2% and 20% of the variance in BMI in women and men, respectively. Conclusion: BMI in DHDSS adults is not associated with physical inactivity but is associated wealth, marital status, sleep, smoking, alcohol use, and HIV status. Future studies should explore the contribution of nutrition, stunting, psycho-social and genetic factors to overweight and obesity in DHDSS.

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“…This enables us to examine the population dynamics, migration dynamics and labour force participation. Presently, three HDSS Centres operate in rural South Africa: Agincourt (in Mpumalanga Province) (Kahn et al 2012); Africa Centre (in KwaZulu-Natal) (Tanser et al 2008), and Dikgale (in Limpopo Province) (Alberts et al 2015). …”

Section: Methodsmentioning

confidence: 99%

Youth migration, livelihood prospects and demographic dividend: A comparison of the Census 2011 and Agincourt Health and Demographic Surveillance System in the rural northeast of South Africa

Collinson

White

Ginsburg

et al. 2016

aps

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The 2011 South African national census shows a cohort of young adults comprising an increasing share of the population. This finding is borne out in longitudinal data from the Agincourt Health and Demographic Surveillance System (HDSS). This primarily descriptive paper uses the Agincourt HDSS to examine the migration, employment and unemployment patterns in young adults. The study reveals high levels of temporary labour migration linking rural areas to metropolitan areas and secondary urban places. The type of work conducted by young adults in the Agincourt population is predominantly unskilled labour for both sexes. However, there is some evidence of female employment increasing in more educated sectors. Across all working ages there is pronounced unemployment, but the main pressure is felt by the younger adult population. Education and skills development for both sexes should be strengthened to support the country's efforts to vastly improve labour force participation amongst the youth.

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Health & Demographic Surveillance System Profile: The Dikgale Health and Demographic Surveillance System

Cited by 50 publications

References 19 publications

Regional and Sex Differences in the Prevalence and Awareness of Hypertension: An H3Africa AWI-Gen Study Across 6 Sites in Sub-Saharan Africa

Regional and Sex Differences in the Prevalence and Awareness of Hypertension: An H3Africa AWI-Gen Study Across 6 Sites in Sub-Saharan Africa

Determinants of body mass index by gender in the Dikgale Health and Demographic Surveillance System site, South Africa

Youth migration, livelihood prospects and demographic dividend: A comparison of the Census 2011 and Agincourt Health and Demographic Surveillance System in the rural northeast of South Africa

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