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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References45
Published on May 1, 1981in Human Biology 0.60
Timothy G. Lohman57
Estimated H-index: 57
(University of Illinois at Urbana–Champaign)
507 Citations
Published on Oct 1, 1991in International Journal of Obesity 5.16
Robert W. Jeffery88
Estimated H-index: 88
,
Simone A. French69
Estimated H-index: 69
+ 1 AuthorsV. M. Spry1
Estimated H-index: 1
(University of Minnesota)
119 Citations
S. H. Stensland1
Estimated H-index: 1
(University of Maryland, Baltimore),
S. Margolis1
Estimated H-index: 1
(University of Maryland, Baltimore)
25 Citations
Published on Jun 10, 2015in PLOS ONE 2.77
Benn Sartorius30
Estimated H-index: 30
(University of KwaZulu-Natal),
Lennert Veerman15
Estimated H-index: 15
(University of Queensland)
+ 2 AuthorsKaren Hofman21
Estimated H-index: 21
(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...
27 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. Lambert45
Estimated H-index: 45
(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
Published on Jan 1, 2010in The Medical Journal of Australia 4.23
Verity Cleland29
Estimated H-index: 29
,
Clare Hume26
Estimated H-index: 26
+ 6 AuthorsKylie Ball64
Estimated H-index: 64
Objective: To compare the weight status of women and children living in socioeconomically disadvantaged rural and urban neighbourhoods in Victoria. Design, setting and participants: Cross-sectional study of data collected between August 2007 and July 2008 as part of the Resilience for Eating and Activity Despite Inequality (READI) study. Women aged 18–45 years living in 40 rural and 40 urban socioeconomically disadvantaged Victorian areas were surveyed by postal questionnaire. Data from a subset...
41 Citations Source Cite
Published on Apr 1, 1995in The American Journal of Clinical Nutrition 6.55
Joan M. Conway23
Estimated H-index: 23
(United States Department of Agriculture),
S Z Yanovski1
Estimated H-index: 1
(United States Department of Agriculture)
+ 1 AuthorsV S Hubbard1
Estimated H-index: 1
(United States Department of Agriculture)
Fat distribution and metabolic variables were studied in 8 black and 10 white age- and weight-matched obese women undergoing a 6-mo weight-reducing regimen. Fat patterning was determined by using anthropometry and computed tomography to quantitate total, subcutaneous, and visceral adipose tissue (VAT) areas at the L2-L3 and L4-L5 levels of the lumbar spine, before, during, and after a modified fast. Black women had smaller depots of VAT than white women at both the L2-L3 (P=0.004) and L4-L5 (P=0...
235 Citations Source Cite
Published on Apr 1, 2008in The American Journal of Clinical Nutrition 6.55
Arnaud Chiolero33
Estimated H-index: 33
(University of Lausanne),
David Faeh24
Estimated H-index: 24
(University of Lausanne)
+ 1 AuthorsJacques Cornuz47
Estimated H-index: 47
(University of Lausanne)
Our aim was to critically evaluate the relations among smoking, body weight, body fat distribution, and insulin resistance as reported in the literature. In the short term, nicotine increases energy expenditure and could reduce appetite, which may explain why smokers tend to have lower body weight than do nonsmokers and why smoking cessation is frequently followed by weight gain. In contrast, heavy smokers tend to have greater body weight than do light smokers or nonsmokers, which likely reflect...
596 Citations Source Cite
Published on Feb 1, 2000in Journal of Nutrition 4.40
James O. Hill84
Estimated H-index: 84
(Anschutz Medical Campus),
Edward L. Melanson38
Estimated H-index: 38
(Anschutz Medical Campus),
Holly Wyatt1
Estimated H-index: 1
(Anschutz Medical Campus)
Obesity represents a major threat to health and quality of life. Although obesity has strong genetic determinants, the increasing prevalence of obesity in populations around the world suggests that environmental factors are promoting or exacerbating the problem. Experts are calling for public health efforts to deal with the global epidemic of obesity. Such a campaign would require that we identify and modify environmental factors that promote obesity. Our current food supply is high in fat, and ...
212 Citations Source Cite
Published on Jan 1, 2003in Ethnicity & Disease 1.05
Albert Amoah25
Estimated H-index: 25
57 Citations
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Cited By4
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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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 Miranda29
Estimated H-index: 29
(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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Published on Nov 16, 2018in Global Health Action 1.91
Felistas Mashinya3
Estimated H-index: 3
(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 Feb 21, 2019in Environmental Management 2.18
John Arko-Mensah (University of Ghana), Joseph Darko1
Estimated H-index: 1
(University of Ghana)
+ 3 AuthorsJulius N. Fobil16
Estimated H-index: 16
(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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