Views

CrossRef citations to date

Altmetric

Original Article

Regional and sex-specific variation in BMI distribution in four sub-Saharan African countries: The H3Africa AWI-Gen study

Michèle RamsaySydney Brenner Institute for Molecular Bioscience, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa;Division of Human Genetics, National Health Laboratory Service and School of Pathology, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South AfricaCorrespondence[email protected]

http://orcid.org/0000-0002-4156-4801 View further author information

Nigel J. CrowtherDepartment of Chemical Pathology, National Health Laboratory Service, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa

http://orcid.org/0000-0002-5766-1745 View further author information

Godfred AgongoSydney Brenner Institute for Molecular Bioscience, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa;Navrongo Health Research Centre, Navrongo, Ghana

http://orcid.org/0000-0002-4218-5424 View further author information

Stuart A. AliSydney Brenner Institute for Molecular Bioscience, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa

http://orcid.org/0000-0002-4124-2896 View further author information

Gershim AsikiAfrican Population and Health Research Center, Nairobi, Kenya

http://orcid.org/0000-0002-9966-1153 View further author information

Romuald P. BouaSydney Brenner Institute for Molecular Bioscience, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa;Division of Human Genetics, National Health Laboratory Service and School of Pathology, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa;Clinical Research Unit of Nanoro, Institut de Recherche en Sciences de la Sante, Nanoro, Burkina Faso

http://orcid.org/0000-0001-8325-2665 View further author information

F. Xavier Gómez-OlivéMRC/Wits Rural Public Health and Health Transitions Research Unit (Agincourt), School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa

http://orcid.org/0000-0002-4876-0848 View further author information

Kathleen KahnMRC/Wits Rural Public Health and Health Transitions Research Unit (Agincourt), School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa;School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa;INDEPTH Network, Accra, Ghana

http://orcid.org/0000-0003-3339-3931 View further author information

Christopher Khayeka-WandabwaAfrican Population and Health Research Center, Nairobi, Kenya

http://orcid.org/0000-0002-9891-6046 View further author information

Felistas MashinyaDepartment of Pathology and Medical Science, School of Health Care Sciences, Faculty of Health Sciences, University of Limpopo, Polokwane, South Africa

http://orcid.org/0000-0002-4132-7558 View further author information

Lisa MicklesfieldMRC/Wits Developmental Pathways for Health Research Unit, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa

http://orcid.org/0000-0002-4994-0779 View further author information

Freedom MukomanaSydney Brenner Institute for Molecular Bioscience, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa

http://orcid.org/0000-0003-0230-1379 View further author information

Engelbert A. NonterahNavrongo Health Research Centre, Navrongo, Ghana

http://orcid.org/0000-0001-8491-6478 View further author information

Cassandra SooSydney Brenner Institute for Molecular Bioscience, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa;Division of Human Genetics, National Health Laboratory Service and School of Pathology, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa

http://orcid.org/0000-0001-7043-8065 View further author information

Hermann SorghoClinical Research Unit of Nanoro, Institut de Recherche en Sciences de la Sante, Nanoro, Burkina Faso

http://orcid.org/0000-0003-1595-5152 View further author information

Alisha N. WadeMRC/Wits Rural Public Health and Health Transitions Research Unit (Agincourt), School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa

http://orcid.org/0000-0002-1158-2523 View further author information

Ryan G. WagnerMRC/Wits Rural Public Health and Health Transitions Research Unit (Agincourt), School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa

http://orcid.org/0000-0003-2741-3676 View further author information

Marianne AlbertsDepartment of Pathology and Medical Science, School of Health Care Sciences, Faculty of Health Sciences, University of Limpopo, Polokwane, South AfricaView further author information

Scott HazelhurstSydney Brenner Institute for Molecular Bioscience, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa;School of Electrical & Information Engineering, University of the Witwatersrand, Johannesburg, South Africa

http://orcid.org/0000-0002-0581-149X View further author information

Catherine KyobutungiAfrican Population and Health Research Center, Nairobi, Kenya

http://orcid.org/0000-0002-5344-5631 View further author information

Shane A. NorrisMRC/Wits Developmental Pathways for Health Research Unit, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa

http://orcid.org/0000-0001-7124-3788 View further author information

Abraham R. OduroNavrongo Health Research Centre, Navrongo, GhanaView further author information

Osman SankohSchool of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa;INDEPTH Network, Accra, Ghana;Statistics Sierra Leone, Freetown, Sierra Leone;Department of Community Medicine, College of Medicine and Allied Health Sciences, University of Sierra Leone, Freetown, Sierra Leone

http://orcid.org/0000-0003-4405-9808 View further author information

Halidou TintoClinical Research Unit of Nanoro, Institut de Recherche en Sciences de la Sante, Nanoro, Burkina Faso

http://orcid.org/0000-0003-4653-7041 View further author information

Stephen TollmanMRC/Wits Rural Public Health and Health Transitions Research Unit (Agincourt), School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa;School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa;INDEPTH Network, Accra, Ghana

http://orcid.org/0000-0002-7997-2616 View further author information

& as members of AWI-Gen and the H3Africa Consortium show all

Figures & data

Table 1. Comparison of BMI measurements by sex in the six AWI-Gen Centres (40–60 years of age).

Download CSV Display Table

Figure 1. Median BMI (kg/m²) values (box and whisker plots showing the median, interquartile ranges and outliers) across the six AWI-Gen study sites stratified by sex. From left to right are the Centres from South Africa (Agincourt (AGT); Dikgale (DKG); and Soweto (SWT)), East Africa (Nairobi in Kenya (NBI)); and West Africa (Nanoro, Burkina Faso (NNR) and Navrongo, Ghana (NVR)).

Figure 1. Median BMI (kg/m2) values (box and whisker plots showing the median, interquartile ranges and outliers) across the six AWI-Gen study sites stratified by sex. From left to right are the Centres from South Africa (Agincourt (AGT); Dikgale (DKG); and Soweto (SWT)), East Africa (Nairobi in Kenya (NBI)); and West Africa (Nanoro, Burkina Faso (NNR) and Navrongo, Ghana (NVR)).

Table 2. Comparison of the prevalence of BMI categories between men and women at each AWI-Gen Centre.

Download CSV Display Table

Figure 2. Distribution of obesity categories (obese, overweight, lean (normal) and underweight) across the six AWI-Gen data collection sites, stratified by sex. From left to right are the centres from South Africa (Agincourt (AGT); Dikgale (DKG); and Soweto (SWT)), East Africa (Nairobi in Kenya (NBI)); and West Africa (Nanoro, Burkina Faso (NNR) and Navrongo, Ghana (NVR)). The bars represent the number of individuals recruited at each Centre.

Table 3. Sex-stratified hierarchical models showing demographic, socio-economic, behavioural and biological factors associated with BMI across six African study sites.

Download CSV Display Table

Supplemental material

Supplemental Material

Download MS Word (16.7 KB)

Regional and sex-specific variation in BMI distribution in four sub-Saharan African countries: The H3Africa AWI-Gen study

Table 1. Comparison of BMI measurements by sex in the six AWI-Gen Centres (40–60 years of age).

Table 2. Comparison of the prevalence of BMI categories between men and women at each AWI-Gen Centre.

Table 3. Sex-stratified hierarchical models showing demographic, socio-economic, behavioural and biological factors associated with BMI across six African study sites.

Supplemental Material

Information for

Open access

Opportunities

Help and information

Your download is now in progress and you may close this window

Login or register to access this feature

Regional and sex-specific variation in BMI distribution in four sub-Saharan African countries: The H3Africa AWI-Gen study

Figures & data

Table 1. Comparison of BMI measurements by sex in the six AWI-Gen Centres (40–60 years of age).

Table 2. Comparison of the prevalence of BMI categories between men and women at each AWI-Gen Centre.

Table 3. Sex-stratified hierarchical models showing demographic, socio-economic, behavioural and biological factors associated with BMI across six African study sites.

Supplemental Material

Related research

To cite this article:

Download citation

Information for

Open access

Opportunities

Help and information

Keep up to date