Evidence map›Paper›PMID 31565403›Full record

ArticleBMJ global health2019

Sex and area differences in the association between adiposity and lipid profile in Malawi.

Ana Luiza G Soares, Louis Banda, Alemayehu Amberbir, Shabbar Jaffar, Crispin Musicha, Alison Price, Moffat J Nyirenda, Debbie A Lawlor, Amelia Crampin

Abstract read
In one paragraph

Article in BMJ global health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

  1. Article
  2. Genes, environment, and African ancestry in cardiometabolic disorders.Trends in endocrinology and metabolism: TEM · 2023
    Review
  3. Metabolic Syndrome and Associated Factors in Farmers in Southeastern Brazil: A Cross-Sectional Study.International journal of environmental research and public health · 2023
    Observational
  4. Article
  5. Article
  6. Article
  7. 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

9 authors.

Ana Luiza G SoaresPopulation Health Sciences, University of Bristol, Bristol, UK.ORCID 0000-0003-2763-4647
Louis BandaMalawi Epidemiology and Intervention Research Unit (MEIRU), Lilongwe and Karonga, Malawi.
Alemayehu AmberbirDignitas International, Zomba, Malawi.
Shabbar JaffarDepartment of International Public Health, Liverpool School of Tropical Medicine, Liverpool, UK.
Crispin MusichaMalawi Epidemiology and Intervention Research Unit (MEIRU), Lilongwe and Karonga, Malawi.
Alison PriceMalawi Epidemiology and Intervention Research Unit (MEIRU), Lilongwe and Karonga, Malawi.
Moffat J NyirendaMalawi Epidemiology and Intervention Research Unit (MEIRU), Lilongwe and Karonga, Malawi.
Debbie A LawlorPopulation Health Sciences, University of Bristol, Bristol, UK.
Amelia CrampinMalawi Epidemiology and Intervention Research Unit (MEIRU), Lilongwe and Karonga, Malawi.

Funding

Medical Research Council MC_UU_00011/6Wellcome Trust
6 · The paper itself

Abstract

backgroundEvidence from high-income countries shows that higher adiposity results in an adverse lipid profile, but it is unclear whether this association is similar in Sub-Saharan African (SSA) populations. This study aimed to assess the association between total and central adiposity measures and lipid profile in Malawi, exploring differences by sex and area of residence (rural/urban).

methodsIn this cross-sectional study, data from 12 096 rural and 12 847 urban Malawian residents were used. The associations of body mass index (BMI) and waist to hip ratio (WHR) with fasting lipids (total cholesterol (TC), low-density lipoprotein-cholesterol (LDL-C), high-density lipoprotein-cholesterol (HDL-C) and triglycerides (TG)) were assessed by area and sex.

resultsAfter adjusting for potential confounders, higher BMI and WHR were linearly associated with increased TC, LDL-C and TG and reduced HDL-C. BMI was more strongly related to fasting lipids than was WHR. The associations of adiposity with adverse lipid profile were stronger in rural compared with urban residents. For instance, one SD increase in BMI was associated with 0.23 mmol/L (95% CI 0.19 to 0.26) increase in TC in rural women and 0.13 mmol/L (95% CI 0.11 to 0.15) in urban women. Sex differences in the associations between adiposity and lipids were less evident.

conclusionsThe consistent associations observed of higher adiposity with adverse lipid profiles in men and women living in rural and urban areas of Malawi highlight the emerging adverse cardio-metabolic epidemic in this poor population. Our findings underline the potential utility of BMI in estimating cardiovascular risk and highlight the need for greater investment to understand the long-term health outcomes of obesity and adverse lipid profiles and the extent to which lifestyle changes and treatments effectively prevent and modify adverse cardio-metabolic outcomes.

Indexed as

adipositybody mass indexdyslipidaemialipidsSub-Saharan Africawaist to hip ratio

Identifiers

PMID31565403
PMCPMC6747887

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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.