1,688
Views
11
CrossRef citations to date
0
Altmetric
Original Article

Magnitude and predictors of normal-weight central obesity– the AWI-Gen study findings

ORCID Icon, ORCID Icon, ORCID Icon, ORCID Icon & ORCID Icon
Article: 1685809 | Received 05 Jun 2019, Accepted 23 Oct 2019, Published online: 07 Nov 2019

References

  • Adeboye B, Bermano G, Rolland C. Obesity and its health impact in Africa: a systematic review. Cardiovasc J Afr. 2012 Oct;23:512–8. PubMed PMID: 23108519; PubMed Central PMCID: PMCPmc3721807. Eng.
  • Must A, Spadano J, Coakley EH, et al. The disease burden associated with overweight and obesity. JAMA. 1999 Oct 27;282:1523–1529. PubMed PMID: 10546691; Eng.
  • Asfaw A. The effects of obesity on doctor-diagnosed chronic diseases in Africa: empirical results from Senegal and South Africa. J Public Health Policy. 2006;27:250–264. PubMed PMID: 17042123; Eng.
  • World Health Organization. Obesity and overweight. WHO; 2016 [cited 2016 Oct 27]. Available from: http://www.who.int/mediacentre/factsheets/fs311/en/
  • Dinsa GD, Goryakin Y, Fumagalli E, et al. Obesity and socioeconomic status in developing countries: a systematic review. Obes Rev. 2012 Nov;13:1067–1079. PubMed PMID: 22764734; PubMed Central PMCID: PMCPMC3798095. Eng.
  • Monteiro CA, Moura EC, Conde WL, et al. Socioeconomic status and obesity in adult populations of developing countries: a review. Bull World Health Organ. 2004 Dec;82:940–946. PubMed PMID: 15654409; PubMed Central PMCID: PMCPMC2623095. Eng.
  • Jiang J, Ahn J, Huang WY, et al. Association of obesity with cardiovascular disease mortality in the PLCO trial. Prev Med. 2013 Jul;57:60–64. PubMed PMID: 23632233; PubMed Central PMCID: PMCPmc3674167. Eng.
  • Akil L, Ahmad HA. Relationships between obesity and cardiovascular diseases in four southern states and Colorado. J Health Care Poor Underserved. 2011;22:61–72. PubMed PMID: 22102306; PubMed Central PMCID: PMCPmc3250069. Eng.
  • Kelishadi R, Mirmoghtadaee P, Najafi H, et al. Systematic review on the association of abdominal obesity in children and adolescents with cardio-metabolic risk factors. J Res Med Sci. 2015 Mar;20:294–307. PubMed PMID: 26109978; PubMed Central PMCID: PMCPmc4468236. Eng.
  • World Health Organization. Waist circumference and waist-hip ratio: report of a WHO expert consultation. Geneva; 2011 [cited 2008 Dec 8–11].
  • Coutinho T, Goel K, Correa de Sa D, et al. Combining body mass index with measures of central obesity in the assessment of mortality in subjects with coronary disease: role of “normal weight central obesity”. J Am Coll Cardiol. 2013 Feb 5;61:553–560. PubMed PMID: 23369419; Eng.
  • Sahakyan KR, Somers VK, Rodriguez-Escudero JP, et al. Normal-weight central obesity: implications for total and cardiovascular mortality. Ann Intern Med. 2015 Dec 1;163:827–835. PubMed PMID: 26551006; PubMed Central PMCID: PMCPmc4995595. Eng.
  • Yu Y. Normal-weight central obesity and mortality risk. Ann Intern Med. 2016 Aug 16;165:298.
  • Sharma S, Batsis JA, Coutinho T, et al. Normal-weight central obesity and mortality risk in older adults with coronary artery disease. Mayo Clin Proc. 2016 Mar;91:343–351. PubMed PMID: 26860580; Eng.
  • Ramsay M, de Vries J, Soodyall H, et al. Ethical issues in genomic research on the African continent: experiences and challenges to ethics review committees. Hum Genomics. 2014 Aug 21;8:15. PubMed PMID: 25145346; PubMed Central PMCID: PMCPmc4420849. Eng.
  • de Vries J, Tindana P, Littler K, et al. The H3Africa policy framework: negotiating fairness in genomics. Trends Genet. 2015 Mar;31:117–119. PubMed PMID: 25601285; PubMed Central PMCID: PMCPmc4471134. Eng.
  • Ramsay M, Sankoh O. African partnerships through the H3Africa Consortium bring a genomic dimension to longitudinal population studies on the continent. Int J Epidemiol. 2016 Apr;45:305–308. PubMed PMID: 26659658; Eng.
  • Ali SA, Soo C, Agongo G, et al. Genomic and environmental risk factors for cardiometabolic diseases in Africa: methods used for Phase 1 of the AWI-Gen population cross-sectional study. Glob Health Action. 2018;11:1507133.
  • 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 Health Epidemiol Genom. 2016;1:e20. doi: 10.1017/gheg.2016.17.
  • Beguy D, Elung’ata P, Mberu B, et al. Health & demographic surveillance system profile: the Nairobi urban health and demographic surveillance system (NUHDSS). Int J Epidemiol. 2015;44:462–471.
  • The IDF consensus worldwide definition of the METABOLIC SYNDROME [Internet]. 2006. Available from: https://www.idf.org/component/attachments/attachments.html?id=705&task=download
  • Kosus N, Kosus A, Turhan N. Relation between abdominal subcutaneous fat tissue thickness and inflammatory markers during pregnancy. Arch Med Sci. 2014 Aug 29;10:739–745.
  • Hassan N, El-Masry S, El Hussieny M, et al. Visceral fat cut-off points for a sample of Egyptian adults. Open Access Maced J Med Sci. 2013;1:6–11.
  • Mohamed SF, Mutua MK, Wamai R, et al. Prevalence, awareness, treatment and control of hypertension and their determinants: results from a national survey in Kenya. BMC Public Health. 2018 Nov 7;18:1219. PubMed PMID: 30400858; PubMed Central PMCID: PMCPMC6219055. Eng.
  • Owolabi EO, Ter Goon D, Adeniyi OV. Central obesity and normal-weight central obesity among adults attending healthcare facilities in Buffalo City Metropolitan Municipality, South Africa: a cross-sectional study. J Health Popul Nutr. 2017;36:54.
  • Biadgilign S, Mgutshini T, Haile D, et al. Epidemiology of obesity and overweight in sub-Saharan Africa: a protocol for a systematic review and meta-analysis. BMJ Open. 2017;7:e017666.
  • Mkuu RS, Epnere K, Chowdhury MAB. Peer reviewed: prevalence and predictors of overweight and obesity among Kenyan women. Prev Chronic Dis. 2018;15. doi: 10.5888/pcd15.170401.
  • Ettarh R, Van de Vijver S, Oti S, et al. Peer reviewed: overweight, obesity, and perception of body image among slum residents in Nairobi, Kenya, 2008–2009. Prev Chronic Dis. 2013;10. doi: 10.5888/pcd10.130198.
  • Kimani JK, Ettarh R, Kyobutungi C, et al. Determinants for participation in a public health insurance program among residents of urban slums in Nairobi, Kenya: results from a cross-sectional survey [journal article]. BMC Health Serv Res. 2012;12:1–11.
  • Buigut S, Ettarh R, Amendah DD. Catastrophic health expenditure and its determinants in Kenya slum communities. Int J Equity Health. 2015 May 14;14:46.
  • Amendah DD, Buigut S, Mohamed S. Coping strategies among urban poor: evidence from Nairobi, Kenya. PLoS ONE. 2014;9:e83428.
  • Sun Y, Liu B, Snetselaar LG, et al. Association of normal-weight central obesity with all-cause and cause-specific mortality among postmenopausal women. JAMA Network Open. 2019;2:e197337–e197337.
  • Zhang C, Rexrode KM, van Dam RM, et al. Abdominal obesity and the risk of all-cause, cardiovascular, and cancer mortality: sixteen years of follow-up in US women. Circulation. 2008 Apr 1;117:1658–1667. PubMed PMID: 18362231; Eng.
  • Olshansky SJ, Ault AB. The fourth stage of the epidemiologic transition: the age of delayed degenerative diseases. Milbank Q. 1986;64:355–391.
  • Popkin BM. The nutrition transition and the global shift towards obesity. Diabetes Voice. 2004;49:38–41.
  • Schmidhuber J, Shetty P. The nutrition transition to 2030. Why developing countries are likely to bear the major burden. Acta Agric Scand Sect C. 2005;2:150–166.
  • Monakali S, Goon DT, Seekoe E, et al. Prevalence and factors associated with abdominal obesity among primary health care professional nurses in Eastern Cape, South Africa. S Afr Family Pract. 2018;60:146–150.
  • Aryee P, Helegbe G, Baah B, et al. Prevalence and risk factors for overweight and obesity among nurses in the tamale metropolis of Ghana. J Med Biomed Sci 2013;2:13–23.
  • Gunderson EPJO, Clinics G. Childbearing and obesity in women: weight before, during, and after pregnancy. Obstet Gynecol Clin. 2009;36:317–332.
  • Haregu TN, Khayeka-Wandabwa C, Ngomi N, et al. Analysis of patterns of physical activity and sedentary behavior in an urban slum setting in Nairobi, Kenya. J Phys Act Health. 2016;13:830–837.