Evidence map›Paper›PMID 29016249›Full record

ArticleGlobal health action2017

Factors associated with obesity and metabolic syndrome in ageing black South African women.

Philippe Jean-Luc Gradidge

Abstract read
In one paragraph

Article in Global health action, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

  1. Article
  2. Prevalence of metabolic syndrome among adults treated at a district hospital outpatient department.South African family practice : official journal of the South African Academy of Family Practice/Primary Care · 2024
    Article
  3. Article
  4. Article
  5. Article
  6. 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

1 author.

Philippe Jean-Luc Gradidgea Centre for Exercise Science and Sports Medicine (CESSM), Faculty of Health Sciences , University of the Witwatersrand , Johannesburg , South Africa.ORCID 0000-0001-5225-1184

Funding

Wellcome Trust
6 · The paper itself

Abstract

backgroundThe incidence of obesity and related metabolic diseases is high and increasing in sub-Saharan African women. Evidence on the determinants of these diseases is limited, particularly in black South African women.

objectiveThis PhD review attempts to understand the determinants of obesity and metabolic syndrome (MetS) in a population of ageing urban-dwelling black South African women.

methodsDrawing on the longitudinal Birth-to-Twenty-Plus cohort, data were collected in 2002/03 and 2012/13, including information on behavioural factors (smoking, sitting time, physical activity, smokeless tobacco, and alcohol consumption), body-size perception, body composition (measures of adiposity and lean mass), blood pressure, and cardiometabolic biomarkers (lipid profile, fasting insulin, fasting blood glucose, insulin resistance, leptin, and adiponectin).

resultsThe prevalence of obesity and related cardiovascular disease risk was high and increased significantly over the 10 year period. Despite most of the study population being physically active, sitting time was high and associated with elevated blood pressure and hypertriglyceridaemia. Two groups of people were observed, those who were happy and those who were unhappy with their body size. In logistic regression analysis, the risk of MetS was lowered by abdominal subcutaneous adipose tissue and adiponectin, and increased by age, smoking, truncal lean mass, and insulin resistance.

conclusionsObesity was confirmed to be increasing in black South African women, despite most women being sufficiently active according to guidelines of ≥150 min activity/week. Nevertheless, the contribution of sitting time to poor health outcomes is evident in this study population and must be addressed, particularly in women who are content with being obese. The novel finding of the effects of abdominal subcutaneous tissue and truncal lean mass with MetS requires further investigation. The protective effect of adiponectin against MetS is an important finding which highlights the novel interaction between adiposity and cardiometabolic diseases in black South African women.

Indexed as

AdiponectinAdultAfrica, NorthernAgingBlack PeopleBlood PressureBody CompositionBody ImageBody Mass IndexBody Weights and MeasuresExerciseFemaleHealth BehaviorHealth SurveysHumansInsulin ResistanceAdiponectinADIPOQ protein, humanLipidsadiponectinbehavioural determinantsbody-size perceptionmetabolic syndromeObesitySouth Africawomen

Identifiers

PMID29016249
PMCPMC5645693

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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.