2,053
Views
7
CrossRef citations to date
0
Altmetric
Original Article

Gender differences in sociodemographic and behavioural factors associated with BMI in an adult population in rural Burkina Faso – an AWI-Gen sub-study

ORCID Icon, ORCID Icon, ORCID Icon, ORCID Icon, , , , , ORCID Icon, , , ORCID Icon, ORCID Icon, ORCID Icon & ORCID Icon show all
Article: 1527557 | Received 10 Apr 2018, Accepted 19 Sep 2018, Published online: 12 Oct 2018

References

  • Roth GA, Huffman MD, Moran AE, et al. Global and regional patterns in cardiovascular mortality from 1990 to 2013. Circulation. 2015;132(17):34–44.
  • World Health Organization. Chapter 1: burden: mortality, morbidity and risk factors. Glob Status Rep Non-Communicable Dis. 2010;2011:9–31.
  • Flegal KM, Kit BK, Orpana H. Association of All-Cause Mortality. JAMA. 2013;309(1):71–82.
  • Yang L, Zhao M, Xi B. Is BMI accurate to re fl ect true adiposity? Int J Cardiol. 2016;220:5273.
  • Lee CMY, Huxley RR, Wildman RP, et al. Indices of abdominal obesity are better discriminators of cardiovascular risk factors than BMI: a meta-analysis. J Clin Epidemiol. 2008;61(7):646–653.
  • Ashwell M, Gunn P, Gibson S. Waist-to-height ratio is a better screening tool than waist circumference and BMI for adult cardiometabolic risk factors: systematic review and meta-analysis. Obes Rev. 2012;13(3):275–286.
  • Ashwell M, Gibson S. Waist-to-height ratio as an indicator of “early health risk”: simpler and more predictive than using a “matrix” based on BMI and waist circumference. BMJ Open. 2016;6(3):e010159.
  • Little M, Humphries S, Patel K, et al. Factors associated with BMI, underweight, overweight, and obesity among adults in a population of rural south India: a cross-sectional study. BMC Obes. 2016;3(12):12.
  • Stevens GA, Singh GM, Lu Y, et al. National, regional, and global trends in adult overweight and obesity prevalences. Popul Health Metr. 2012;10(1):22.
  • Ziraba AK, Fotso JC, Ochako R. Overweight and obesity in urban Africa : A problem of the rich or the poor? BMC Public Health. 2009;9:1–9.
  • Ajayi IO, Adebamowo C, Adami H, et al. Urban – rural and geographic differences in overweight and obesity in four sub-Saharan African adult populations: a multi-country cross-sectional study. BMC Public Health. 2016;16:1126.
  • Zeba AN, Delisle HF, Renier G, et al. The double burden of malnutrition and cardiometabolic risk widens the gender and socio-economic health gap: a study among adults in Burkina Faso (West Africa). Public Health Nutr. 2012;15(12):2210–2219.
  • UNDP. Human development report 2016: human development for everyone. Statistical annex. In: Human development report 2016: human development for everyone (pp. 191–270). New York (USA): UNDP; 2016.
  • FEWS NET. Livelihood Zoning and Profiling Report: Burkina Faso. A Special Report By FEWSNET. 2010. 82 p.
  • Direction De La Nutrition/Ministere De La Sante Burkina Faso. Rapport Enquete Nutritionnelle Nationale 2011 [Report of the National Nutrition Survey 2011]. 2012.
  • Garenne M Trends in nutritional status of adult women in Sub-Saharan Africa. DHS Comparative Reports No. 27. Calverton, Maryland, USA; 2011.
  • Ministere De La Sante Burkina Faso. Rapport de l’enquête sur la Prevalence de Principaux Facteurs de Risques Communs anux Maladies Non Transmissibles au Burkina Faso: Enquete STEPS 2013 [Report of the national survey on prevlence of main risk factors common for non-communicable diseases in 2013].
  • Ramsay M, Crowther N, Tambo E, et al. H3Africa AWI-Gen Collaborative Centre: a resource to study the interplay between genomic and environmental risk factors for cardiometabolic diseases in four sub-Saharan African countries. Glob Heal Epidemiol Genomics. 2016;1:e20.
  • Vyas S, Kumaranayake L. Constructing socio-economic status indices: how to use principal components analysis. Health Policy Plan. 2006;21(6):459–468.
  • Victora CG, Huttly SR, Fuchs SC, et al. The role of conceptual frameworks in epidemiological analysis: a hierarchical approach. Int J Epidemiol. 1997;26(1):224–227.
  • Mickey RM, Greenland S. The impact of confounder selection criteria on effect estimation. Am J Epidemiol. 1989;129(1):125–137.
  • Sagna Y, Yanogo DA, Tiéno H, et al. Obesity and metabolic syndrome in a Burkina Faso Urban Area : prevalence, associated factors and comorbidities. J Nutr Disord Ther. 2014;4(2):2–7.
  • Ouedraogo HZ, Fournet F, Martin-Pre Y, et al. Socio-spatial disparities of obesity among adults in the urban setting of Ouagadougou, Burkina Faso. Public Health Nutr. 2008;11(12):1280–1287.
  • Koueta F, Dao L, Dao F, et al. Facteurs associés au surpoids et à l’obésité des élèves de Ouagadougou (Burkina Faso) [Factors associated to overweight and obesity in Secondary Schools in Ouagadougou (Burkina Faso)]. Sante. 2011;21(4):227–231.
  • Marceline YT, Issiaka S, Macaire AOS, Gilberte KC, Arsène YA, et al. Obesity, Central Obesity, Overweight and Diabetes: Women are the Most Affected in Burkina Faso. J Women’s Health Care. 2014;3:155. doi:10.4172/2167-0420.1000155
  • Barker DJP. The origins of the developmental origins theory. J Intern Med. 2007;261(5):412–417.
  • INSD (Institut-National-de-la-Statistique-et-de-la-Démographie). Nutrition des jeunes enfants et des meres, Resultat de l’ Enquête Démographique et de Santé au Burkina Faso 2003 [Nutrition of Mothers and young children, Results from the Burkina Faso DHS 2003]. Ouagadougou, Burkina Faso: ORC Macro; 2005.
  • INSD (Institut-National-de-la-Statistique-et-de-la-Démographie). Enquête Démographique et de Santé et à Indicateurs Multiples (EDSBF-MICS IV) 2010 [Demographic and Health Survey-Multiple Indicators Cluster Survey 2010]. Ouagadougou: INSD and ICF International; 2010.
  • Barry AE, Piazza-Gardner AK, Kim Holton M. Assessing the alcohol-BMI relationship in a US national sample of college students. Health Educ J. 2015;74(4):496–504.
  • Liangpunsakul S, Crabb DW, Qi R. Relationship between alcohol intake, body fat, and physical activity – a population-based study Suthat. Ann Epidemiol. 2011;20(9):670–675.
  • Clair C, Chiolero A, Faeh D, et al. Dose-dependent positive association between cigarette smoking, abdominal obesity and body fat: cross-sectional data from a population-based survey. BMC Public Health. 2011;11(1):23.
  • Lehmann F, Von Lindeman K, Klewer J, et al. BMI, physical inactivity, cigarette and alcohol consumption in female nursing students: A 5-year comparison. BMC Med Educ. 2014;14(1):1–6.
  • Plurphanswat N, Rodu B. The association of smoking and demographic characteristics on body mass index and obesity among adults in the U.S., 1999-2012. BMC Obes. 2014;1(1):1–9.
  • Dare S, Mackay DF, Pell JP. Relationship between smoking and obesity: A cross-sectional study of 499,504 middle-aged adults in the UK general population. PLoS One. 2015;10(4):1–12.
  • Audrain-McGovern J, Benowitz N. Cigarette smoking, nicotine, and body weight. Clin Pharmacol Ther. 2011;90(1):164–168.
  • Ben Taleb Z, Ward KD, Asfar T, et al. Smoking cessation and changes in body mass index: findings from the first randomized cessation trial in a low-income country setting. Nicotine Tob Res. 2017;19(3):351–356.
  • Andersson K, Arner P. Systemic nicotine stimulates human adipose tissue lipolysis through local cholinergic and catecholaminergic receptors. Int J Obes Relat Metab Disord. 2001;25(8):1225–1232.
  • Hofstetter A, Schutz Y, Jéquier E, et al. Increased 24-hour energy expenditure in cigarette smokers. N Engl J Med. 1986;314:79–82.
  • Chiolero A, Faeh D, Paccaud F, et al. Consequences of smoking for body weight, body fat distribution, and insuline resistance. Am J Clin Nutr. 2008;87:801–809.
  • Yildiz D. Nicotine, its metabolism and an overview of its biological effects. Toxicon. 2004;43(6):619–632.