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

Sub-Saharan Africa adiposity body mass index dyslipidaemia lipids waist to hip ratio

Journal

BMJ global health
ISSN: 2059-7908
Titre abrégé: BMJ Glob Health
Pays: England
ID NLM: 101685275

Informations de publication

Date de publication:
2019
Historique:
received: 01 03 2019
revised: 24 06 2019
accepted: 29 06 2019
entrez: 1 10 2019
pubmed: 1 10 2019
medline: 1 10 2019
Statut: epublish

Résumé

Evidence 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). In 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. After 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. The 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.

Sections du résumé

BACKGROUND BACKGROUND
Evidence 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).
METHODS METHODS
In 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.
RESULTS RESULTS
After 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.
CONCLUSIONS CONCLUSIONS
The 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.

Identifiants

pubmed: 31565403
doi: 10.1136/bmjgh-2019-001542
pii: bmjgh-2019-001542
pmc: PMC6747887
doi:

Types de publication

Journal Article

Langues

eng

Pagination

e001542

Subventions

Organisme : Medical Research Council
ID : MC_UU_00011/6
Pays : United Kingdom

Informations de copyright

© Author(s) (or their employer(s)) 2019. Re-use permitted under CC BY. Published by BMJ.

Déclaration de conflit d'intérêts

Competing interests: DAL has received research support from National and International government and charitable funders and from Roche Diagnostics and Medtronic in relation to research outside of that presented here. MJN reports grant funding from Medical Research Council UK and National Institute for Health Research.

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Auteurs

Ana Luiza G Soares (ALG)

Population Health Sciences, University of Bristol, Bristol, UK.
MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK, Bristol, UK.

Louis Banda (L)

Malawi Epidemiology and Intervention Research Unit (MEIRU), Lilongwe and Karonga, Malawi.

Alemayehu Amberbir (A)

Dignitas International, Zomba, Malawi.
Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada.

Shabbar Jaffar (S)

Department of International Public Health, Liverpool School of Tropical Medicine, Liverpool, UK.

Crispin Musicha (C)

Malawi Epidemiology and Intervention Research Unit (MEIRU), Lilongwe and Karonga, Malawi.

Alison Price (A)

Malawi Epidemiology and Intervention Research Unit (MEIRU), Lilongwe and Karonga, Malawi.
Faculty of Epidemiology and Public Health, London School of Hygiene and Tropical Medicine, London, UK.

Moffat J Nyirenda (MJ)

Malawi Epidemiology and Intervention Research Unit (MEIRU), Lilongwe and Karonga, Malawi.
Faculty of Epidemiology and Public Health, London School of Hygiene and Tropical Medicine, London, UK.

Debbie A Lawlor (DA)

Population Health Sciences, University of Bristol, Bristol, UK.
MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK, Bristol, UK.

Amelia Crampin (A)

Malawi Epidemiology and Intervention Research Unit (MEIRU), Lilongwe and Karonga, Malawi.
Faculty of Epidemiology and Public Health, London School of Hygiene and Tropical Medicine, London, UK.

Classifications MeSH