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Socio-Demographic and Lifestyle Factors Predict 5-Year Changes in Adiposity among a Group of Black South African Adults

Published on Sep 20, 2017in International Journal of Environmental Research and Public Health 2.15
· DOI :10.3390/ijerph14091089
Cornelie Nienaber-Rousseau4
Estimated H-index: 4
,
Olusola F. Sotunde2
Estimated H-index: 2
+ 6 AuthorsH. Salome Kruger12
Estimated H-index: 12
Abstract
The rising prevalence of obesity and excessive adiposity are global public health concerns. Understanding determinants of changes in adiposity over time is critical for informing effective evidence-based prevention or treatment. However, limited information is available to achieve this objective. Cultural, demographic, environmental, and behavioral factors including socio-economic status (SES) likely account for obesity development. To this end, we related these variables to anthropometric measures in 1058 black adult Tswana-speaking South Africans who were HIV negative in a prospective study over five years. Body mass index (BMI) and waist circumference increased in both sexes, whereas triceps skinfold thickness remained the same. Over the five years, women moved to higher BMI categories and more were diagnosed with central obesity. Age correlated negatively, whereas SES, physical activity, energy, and fat intake correlated positively with adiposity markers in women. In men, SES, marital status, physical activity, and being urban predicted increases in adiposity. For women, SES and urbanicity increased, whereas menopause and smoking decreased adiposity. Among men, smokers had less change in BMI than those that never smoked over five years. Our findings suggest that interventions, focusing on the urban living, the married and those with the highest SES—the high-risk groups identified herein—are of primary importance to contain morbidity and premature mortality due to obesity in black South Africans.
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  • Citations (4)
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References45
Newest
Published on Nov 1, 2017in The Lancet 53.25
Mahshid Dehghan22
Estimated H-index: 22
(Population Health Research Institute),
Andrew Mente30
Estimated H-index: 30
(McMaster University)
+ 352 AuthorsAnders H. Rosengren84
Estimated H-index: 84
(University of Gothenburg)
Summary Background The relationship between macronutrients and cardiovascular disease and mortality is controversial. Most available data are from European and North American populations where nutrition excess is more likely, so their applicability to other populations is unclear. Methods The Prospective Urban Rural Epidemiology (PURE) study is a large, epidemiological cohort study of individuals aged 35–70 years (enrolled between Jan 1, 2003, and March 31, 2013) in 18 countries with a median fo...
168 Citations Source Cite
Published on Nov 1, 2017in American Journal of Human Biology 1.57
Herculina Salome Kruger20
Estimated H-index: 20
(North-West University),
Chrisna Botha-Ravyse1
Estimated H-index: 1
(North-West University)
+ 2 AuthorsJ.M. Van Rooyen25
Estimated H-index: 25
(North-West University)
Objectives To derive percentage body fat (%BF) cut-points according to body mass index (BMI) categories for adult black South African women and to investigate the agreement between adiposity classifications according to WHO BMI and %BF cut-points. The secondary aim was to determine the association between these different adiposity measures and high blood pressure. Methods Black women aged 29–65 years (n = 435) from Ikageng, South Africa, were included in this cross-sectional study. Socio-demogra...
1 Citations Source Cite
Published on Sep 1, 2016in The Lancet Global Health 18.70
Victoria Pillay-van Wyk5
Estimated H-index: 5
(South African Medical Research Council),
William Msemburi9
Estimated H-index: 9
(South African Medical Research Council)
+ 16 AuthorsMegan Prinsloo5
Estimated H-index: 5
(South African Medical Research Council)
Summary Background The poor health of South Africans is known to be associated with a quadruple disease burden. In the second National Burden of Disease (NBD) study, we aimed to analyse cause of death data for 1997–2012 and develop national, population group, and provincial estimates of the levels and causes of mortality. Method We used underlying cause of death data from death notifications for 1997–2012 obtained from Statistics South Africa. These data were adjusted for completeness using indi...
40 Citations Source Cite
Published on Dec 1, 2015in BMC Obesity
Annibale Cois3
Estimated H-index: 3
(University of Cape Town),
Candy Day1
Estimated H-index: 1
Obesity prevalence is increasing globally and contributes substantially to the burgeoning burden of non-communicable diseases. South Africa is particularly affected by this increasing trend and cross-sectional evidence suggests socioeconomic and behavioural variables as possible drivers. However, no large scale longitudinal study has attempted the direct identification of risk factors for progression towards obesity. This study analysed data on 10,100 South African adults (18 years and over) ran...
20 Citations Source Cite
Published on Jun 10, 2015in PLOS ONE 2.77
Benn Sartorius34
Estimated H-index: 34
(University of KwaZulu-Natal),
Lennert Veerman16
Estimated H-index: 16
(University of Queensland)
+ 2 AuthorsKaren Hofman22
Estimated H-index: 22
(Johns Hopkins University)
Background: Obesity is a major risk factor for emerging non-communicable diseases (NCDS) in middle income countries including South Africa (SA). Understanding the multiple and complex determinants of obesity and their true population attributable impact is critical for informing and developing effective prevention efforts using scientific based evidence. This study identified contextualised high impact factors associated with obesity in South Africa. Methods: Analysis of three national cross sec...
26 Citations Source Cite
Published on Jun 1, 2014in The American Journal of Clinical Nutrition 6.55
Hester H Vorster34
Estimated H-index: 34
(North-West University),
Annamarie Kruger23
Estimated H-index: 23
(North-West University)
+ 2 AuthorsBarrie Margetts46
Estimated H-index: 46
(North-West University)
43 Citations Source Cite
Olufunke A. Alaba8
Estimated H-index: 8
(University of Cape Town),
Lumbwe Chola10
Estimated H-index: 10
In recent years, there has been a dramatic increase in obesity in low and middle income countries. However, there is limited research in these countries showing the prevalence and determinants of obesity. In this study, we examine the socioeconomic inequalities in obesity among South African adults. We use nationally representative data from the South Africa National Income Dynamic Survey of 2008 to: (1) construct an asset index using multiple correspondence analyses (MCA) as a proxy for socioec...
29 Citations Source Cite
Published on Dec 4, 2013in Cardiovascular Journal of Africa 1.13
Lisa K. Micklesfield17
Estimated H-index: 17
(University of the Witwatersrand),
Estelle V. Lambert40
Estimated H-index: 40
(University of Cape Town)
+ 5 AuthorsJulia H. Goedecke28
Estimated H-index: 28
(University of Cape Town)
South Africa (SA) is undergoing a rapid epidemiological transition and has the highest prevalence of obesity in sub-Saharan Africa (SSA), with black women being the most affected (obesity prevalence 31.8%). Although genetic factors are important, socio-cultural, environmental and behavioural factors, as well as the influence of socio-economic status, more likely explain the high prevalence of obesity in black SA women. This review examines these determinants in black SA women, and compares them ...
50 Citations Source Cite
Rynal Devanathan1
Estimated H-index: 1
(University of KwaZulu-Natal),
Tonya M. Esterhuizen19
Estimated H-index: 19
(University of KwaZulu-Natal),
Rd Govender6
Estimated H-index: 6
(University of KwaZulu-Natal)
Background: Overweight and obesity is an emerging health problem, particularly amongst urban Black women living in areas of high HIV prevalence. Understanding factors affecting this pandemic is essential to enable effective weight loss programmes to be implemented. This study explored urban Black women’s perception of their body image against a backdrop of pre-existing non-communicable diseases (NCDs). Method: In this cross-sectional exploratory study 328 urban Black women were sampled systemati...
8 Citations Source Cite
Published on Sep 1, 2012in Journal of Graduate Medical Education
Gail M. Sullivan9
Estimated H-index: 9
,
Richard Feinn1
Estimated H-index: 1
Effect size helps readers understand the magnitude of differences found, whereas statistical significance examines whether the findings are likely to be due to chance. Both are essential for readers to understand the full impact of your work. Report both in the Abstract and Results sections.
824 Citations Source Cite
Cited By4
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Published on May 1, 2019in Environmental Management 2.18
John Arko-Mensah (University of Ghana), Joseph Darko1
Estimated H-index: 1
(University of Ghana)
+ 3 AuthorsJulius N. Fobil17
Estimated H-index: 17
(Bernhard Nocht Institute for Tropical Medicine)
The influence of area-based socioeconomic (SE) conditions on environmental quality conditions has recently been reported showing the precise spatial relationship between area-based SE conditions and neighborhood environmental quality in an urban area in a low-income setting. Nonetheless, there is still a lack of understanding of the nature of the relationship on a temporal scale. This study aimed to investigate the dynamic temporal relationship between area-based SE conditions and urban environm...
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Published on Nov 16, 2018in Global Health Action 1.91
Felistas Mashinya4
Estimated H-index: 4
(University of Limpopo),
Marianne Alberts15
Estimated H-index: 15
(University of Limpopo)
+ 1 AuthorsSam Ntuli5
Estimated H-index: 5
(University of Limpopo)
ABSTRACTBackground: 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 conduct...
2 Citations Source Cite
Published on May 1, 2018in Journal of Epidemiology and Community Health 3.97
Rodrigo M. Carrillo-Larco8
Estimated H-index: 8
(Cayetano Heredia University),
J. Jaime Miranda30
Estimated H-index: 30
(Cayetano Heredia University)
+ 3 AuthorsAntonio Bernabe-Ortiz21
Estimated H-index: 21
Background Studies have reported the incidence/risk of becoming obese, but few have described the trajectories of body mass index (BMI) and waist circumference (WC) over time, especially in low/middle-income countries. We assessed the trajectories of BMI and WC according to sex in four sites in Peru. Methods Data from the population-based CRONICAS Cohort Study were analysed. We fitted a population-averaged model by using generalised estimating equations. The outcomes of interest, with three data...
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Pieter H. Myburgh , G. Wayne Towers6
Estimated H-index: 6
+ 1 AuthorsCornelie Nienaber-Rousseau4
Estimated H-index: 4
Low 25-hydroxyvitamin D (25(OH)D) and elevated C-reactive protein (CRP) concentrations are independently associated with adverse health outcomes, including cardiovascular disease (CVD). Although an inverse association between these factors has been described, the underlying mechanisms remain unknown. We postulate that environment–gene interactions, through which 25(OH)D interacts with single nucleotide polymorphisms (SNPs) within the CRP gene, modulate CRP; that certain CRP genotypes predispose ...
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