Prevalence and Family Biosocial Predictors of Abdominal Obesity among Adult Nigerian Africans in a Resource Constrained Setting of a Rural Hospital in Eastern Nigeria

Gabriel Uche Pascal Iloh; Agwu Nkwa Amadi; Augustine Obiora Ikwudinma; Patrick Uchenna Njoku

doi:doi:10.11648/j.ejpm.20130103.14

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Prevalence and Family Biosocial Predictors of Abdominal Obesity among Adult Nigerian Africans in a Resource Constrained Setting of a Rural Hospital in Eastern Nigeria

Gabriel Uche Pascal Iloh, Agwu Nkwa Amadi, Augustine Obiora Ikwudinma, Patrick Uchenna Njoku

Published in European Journal of Preventive Medicine (Volume 1, Issue 3)

Received: 23 December 2013 Accepted: Published: 10 January 2014

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Abstract

Background: The variability of abdominal obesity within and across families is influenced by several factors. However, the relevance of family biosocial factors in the variability of abdominal obesity is an important health care challenge that is often neglected especially in this era of personalized medicine. Aim: This study was designed to determine the prevalence and family biosocial predictors of abdominal obesity among adult Nigerian Africans in a resource constrained setting of a rural hospital in Eastern Nigeria. Materials and Methods: A cross sectional analytic study carried out on 3012 adult patients aged 18-91 years who were screened for abdominal obesity using the Third Report of National Cholesterol Education Panel (NCEP) in adult (ATP III) criterion and 350 patients who had waist circumference (WC) ≥102cm and ≥88cm for men and women respectively and met the inclusion criteria were age and sex matched with 350 non-obese, non-hypertensive and non-diabetic control. Family bio-social variables were obtained using a pretested, structured and interviewer-administered questionnaire. Hypertension and diabetes mellitus were defined using Joint National Committee 7 Report on Prevention, Detection, Evaluation and Treatment of High Blood Pressure and American Diabetic Association criteria respectively. Results: .The prevalence of abdominal obesity was 11.6%. The family biosocial variables significantly associated with abdominal obesity were family history of obesity (p=0.036) and family inadequate dietary fruits consumption (p=0.042). The most significant predictor of abdominal obesity was family history of obesity (OR=2.60, CI=0.95-13.01, p=0.022). The patient with family history of obesity was two and half times more likely to be obese than those without family history of obesity. Conclusion: Abdominal obesity is associated with family history of obesity and inadequate dietary fruits consumption. The interventional control programs for abdominal obesity should consider these risk factors alongside the complex of other cardiovascular risk factors.

Published in	European Journal of Preventive Medicine (Volume 1, Issue 3)
DOI	10.11648/j.ejpm.20130103.14
Page(s)	70-78
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Abdominal Obesity, Family Biosocial Predictors, Hospital, Rural Nigeria

References

[1]	Iloh GUP, Amadi AN, Njoku PU, Ofoedu JN, Awa-Madu J. The magnitude of abdominal adiposity and atherogenic dyslipidaemia among geriatric Nigerians with arterial hypertension in a rural hospital in south-eastern Nigeria. Niger J Clin Pract . 2012; 15: 462-468.
[2]	Siminnialayi IM, Emem-Chioma PC, Dapper DV. The prevalence of obesity as indicated by BMI and waist circumference among Nigerian adult attending Family Medicine clinics as outpatients in Rivers state. Niger J Med 2008; 17:340-345.
[3]	Okeke EC, Ibeh GN, Ene-Obong HN. Body weight perception among Igbo people in the University of Nigeria, Nsukka. Agro-Science Journal 2006; 5: 17-24.
[4]	Abubakar AR, Lander W, Agyemang C, Jones M, Kirk A, Bhopal RS. Prevalence and time trends in obesity among adult West African populations: a meta-analysis. Obesity Reviews 2008; 9: 297-311.
[5]	Chukwuonye II, Chuku A, Onyenoro UU, Okpechi IG, Madukwe OO, Umeizudike TI, Ogah OS. Prevalence of abdominal obesity in Abia State, Nigeria: results of a population-based house-to-house survey. Diabetes, Metabolic Syndrome and Obesity: Targets and Therapy 2013; 6: 285-291.
[6]	Lean MEJ, Han TS, Seidell JC. Impairment of health and quality of life in people with large waist circumference. Lancet 1998; 351: 853- 856.
[7]	Doll S, Paccaud F, Hovet P, Bumier M, Wietlisbach V. Body mass index, abdominal adiposity and blood pressure: consistency of their association across developing and developed countries. Int J Obes 2002; 26: 48-57.
[8]	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: 465.
[9]	Iloh GUP, Amadi AN, Nwankwo BO, Ugwu VC. Obesity in adult Nigerians: A study of its pattern and common primary co-morbidities in a rural Mission General Hospital in Imo state, south-eastern Nigeria. Niger J Clin Pract 2011; 14: 212-218.
[10]	Iloh GUP, Amadi AN, Nwankwo BO. Obesity in adult Nigerians: a study of its prevalence and common primary co-morbidities in a semi-urban Mission General Hospital in South-Eastern Nigeria. Niger J Med 2010; 19: 459-466.
[11]	Iloh GUP, Chuku A, Obiegbu NP, Ofoedu JN, Ikwudinma AO. Frequency of cardiovascular risk factors in adult Nigerians with family history of non-communicable cardiovascular disease in a primary care clinic of a tertiary hospital in a resource-constrained environment of Eastern Nigeria. American Journal of Health Research 2013; 1(1): 17-25.
[12]	Kumar S, Gupta A, Jain S. Neck circumference as a predictor of obesity and overweight in rural central India. Int J Med Public Health 2012; 2: 62-66.
[13]	Wahrenberg H, Hartel K, Leijonhufvud B. Waist circumference predicts insulin resistance. A retrospective study. BMJ 2005; 330: 1363-1364.
[14]	Tokin A. The metabolic syndrome: A growing problem. European Heart Journal Supplement 2004; 6: A32-A42.
[15]	Janssen I, Katzmarzyk PT, Ross R. Waist circumference and not body mass index explains obesity-related health risk. Am J Clin Nutrb2004; 79: 379-384.
[16]	Fezeu I, Balkau B, Kengne AP, Sobngwi E, Mbanya JC. Metabolic syndrome in a sub-Saharan African setting: central obesity may be the key determinant. Atheroclerosis 2007; 193: 70-76.
[17]	Rexrode KM, Burning JE, Manson JE. Abdominal and total adiposity and risk of coronary heart disease in men. Int J Obes Relat Metab Disord 2001; 25: 1047- 1056.
[18]	Rexrode KM, Carey VJ, Hennekens CH. Abdominal adiposity and coronary heart disease in women. JAMA 1998; 280: 1843 –1848.
[19]	The European Food Information Council. The basics: Obesity and overweight.(Online). 2006. (cited 2008 March); Available from: URL: http://www.eufic.org/article/en/expid/basics-obesity-overweight/.
[20]	Adediran O, Akintude AA, Edo AE, Opadijo OG, Araoye AM. Impact of urbanization and gender on frequency of metabolic syndrome among native Abuja settlers in Nigeria. J Cardiovasc Dis Res 2012; 3: 191-196.
[21]	Ekpenyong C, Akpan E. Contextual Trend in Preventing Obesity Epidemic in Developing Countries: Role of the Key Players. European Journal of Preventive Medicine. 2013; 1: 20-31.
[22]	Amole IO, OlaOlorun AD, Odegah LO, Adesina SA. The prevalence of abdominal obesity and hypertension amongst adults in Ogbomoso, Nigeria. Afr J Prm Health Care Fam Med 2011; 3.188.
[23]	Okosun IS, Cooper RS, Prewitt TE, Rotimi CN. The relation of central adiposity to components of the insulin resistance syndrome in a biracial US population sample. Ethn Dis 1999; 9: 218-229
[24]	Park HS, Yun YS, Park JY, Kim YS, Choi JM. Obesity, abdominal obesity, and clustering of cardiovascular risk factors in South Korea. Asia Pac J Clin Nutr 2003;12: 411-418.
[25]	Sodjinou R, Agueh V, Fayomi B, Delisle H. Obesity and cardio-metabolic risk factors in urban adults of Benin: relationship with socio-economic status, urbanization and lifestyle patterns. BMC Public Health 2008; 8:84.
[26]	Oleribe EOO, Alasia DD. Socio-demographic variables and family health: A prospective study of a Katcha in North-central Nigeria. Niger J Med 2006; 15: 427-429.
[27]	Inem AV, Ayankogbe OO, Obazee M, Ladipo MM, Udonwa NE, Odusote K. Conceptual and contextual paradigm of the family as a unit of care. Niger Med Pract 2004; 45: 9-13.
[28]	Iloh GUP, Ikwudinma AO, Obiegbu NP. Obesity and its cardio-metabolic co-morbidities among adult Nigerians in a Primary Care Clinic of a tertiary hospital in South-eastern Nigeria. J Fam Med Primary Care 2013; 2: 20-26.
[29]	Marti A, Moreno-Aliaga MJ, Hebebrand and Martinez JA. Genes, lifestyle and obesity. Int J Obes Relat Metab Disord.2004, 28 Suppl 3: S29-S36.
[30]	Yang W, Kelly T, He J. Genetic epidemiology of obesity. Epidemiol Rev. 2007; 29:49-61.
[31]	Froguel P, Boutin P. Genetics of pathways regulating body weight in the development of obesity in humans. Exp Biol Med (Maywood). 2001; 226:991-996.
[32]	Ibrahim T. Sample size determination. In: Research Methodology and Dissertation writing for Health and Allied Health Professionals. Abuja, Nigeria Cress Global Link Limited; 2009: p.70-75.
[33]	Iloh GUP, Ikwudinma AO. Abdominal obesity in adult Nigerian Africans: prevalence and co-occurrence with cardio-metabolic risk factors in a resource poor setting of a rural hospital in Eastern Nigeria. American Journal of Health Research 2013; 1(3): 73-80
[34]	Chobanian AV, Bakris GL, Black HR, Cushman WC, Green LA, Izzo JL et al. The seventh report of the Joint National Committee on Prevention, Detection, Evaluation and Treatment of high blood pressure: The JNC VII report. JAMA 2003; 289: 2560- 2572.
[35]	American Diabetes Association: Diagnosis criteria for diabetes mellitus. Diagnosis and classification of diabetes mellitus. Diabetes Care 2010; 33(Suppl 1): S62-S69.
[36]	WHO. Survey of the STEPwise approach for the survellaince of risk factors for non-communicable diseases, Brazzaville, WHO, Region office for Africa, 2007.
[37]	Oyekan AO. Genetics of food intake, body weight and obesity-role of leptin. Niger Med Pract 2005; 47:108-112
[38]	Okosun IS, Cooper RS, Rotimi CN, Osotimehin B, Forrester T. Association of waist circumference with risk of hypertension and type 2 diabetes in Nigerians, Jamaicans and African-Americans. Diabetes Care 1998; 21: 1836-1842.
[39]	Finer N. Obesity. Clinical Medicine 2003; 3: 23-27.
[40]	Ruhl CE. Leptin concentrations in the United States: relations with demographic and anthropometric measures. Am J Clin Nutr 2001; 74: 295.
[41]	Ratimouni H. Leptin and the cardiovascular system. Res Horm Res 2004; 79: 224-244.
[42]	Willet WC. Diet and health: what should we eat? Science 1994; 532-537.
[43]	Rimm EB, Ascherio A, Giovannucci E, Speigelman D, Stampfer MJ, Willet WC. Vegatables, fruits and cereal fibre intake and risk of coronary heart disease among men. JAMA 1996; 275: 447-451.
[44]	Weber J. Energy balance in obesity. Proc Nutr Soc. 2003; 62:539-543.
[45]	Ramos DC, Mehta R, De La Luz Castro J, Limones RC, Rubi EG, Aguilar-Salinas CA. Awareness of Abdominal Adiposity as a cardiometabolic Risk Factor (The 5A Study): Mexico. Diabetes Meta Syndr Obes 2011; 4: 107-117.

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APA Style

Gabriel Uche Pascal Iloh, Agwu Nkwa Amadi, Augustine Obiora Ikwudinma, Patrick Uchenna Njoku. (2014). Prevalence and Family Biosocial Predictors of Abdominal Obesity among Adult Nigerian Africans in a Resource Constrained Setting of a Rural Hospital in Eastern Nigeria. European Journal of Preventive Medicine, 1(3), 70-78. https://doi.org/10.11648/j.ejpm.20130103.14

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ACS Style

Gabriel Uche Pascal Iloh; Agwu Nkwa Amadi; Augustine Obiora Ikwudinma; Patrick Uchenna Njoku. Prevalence and Family Biosocial Predictors of Abdominal Obesity among Adult Nigerian Africans in a Resource Constrained Setting of a Rural Hospital in Eastern Nigeria. Eur. J. Prev. Med. 2014, 1(3), 70-78. doi: 10.11648/j.ejpm.20130103.14

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AMA Style

Gabriel Uche Pascal Iloh, Agwu Nkwa Amadi, Augustine Obiora Ikwudinma, Patrick Uchenna Njoku. Prevalence and Family Biosocial Predictors of Abdominal Obesity among Adult Nigerian Africans in a Resource Constrained Setting of a Rural Hospital in Eastern Nigeria. Eur J Prev Med. 2014;1(3):70-78. doi: 10.11648/j.ejpm.20130103.14

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@article{10.11648/j.ejpm.20130103.14,
  author = {Gabriel Uche Pascal Iloh and Agwu Nkwa Amadi and Augustine Obiora Ikwudinma and Patrick Uchenna Njoku},
  title = {Prevalence and Family Biosocial Predictors of Abdominal Obesity among Adult Nigerian Africans in a Resource Constrained Setting of a Rural Hospital in Eastern Nigeria},
  journal = {European Journal of Preventive Medicine},
  volume = {1},
  number = {3},
  pages = {70-78},
  doi = {10.11648/j.ejpm.20130103.14},
  url = {https://doi.org/10.11648/j.ejpm.20130103.14},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ejpm.20130103.14},
  abstract = {Background: The variability of abdominal obesity within and across families is influenced by several factors. However, the relevance of family biosocial factors in the variability of abdominal obesity is an important health care challenge that is often neglected especially in this era of personalized medicine. Aim: This study was designed to determine the prevalence and family biosocial predictors of abdominal obesity among adult Nigerian Africans in a resource constrained setting of a rural hospital in Eastern Nigeria. Materials and Methods: A cross sectional analytic study carried out on 3012 adult patients aged 18-91 years who were screened for abdominal obesity using the Third Report of National Cholesterol Education Panel (NCEP) in adult (ATP III) criterion and 350 patients who had waist circumference (WC) ≥102cm and ≥88cm for men and women respectively and met the inclusion criteria were age and sex matched with 350 non-obese, non-hypertensive and non-diabetic control. Family bio-social variables were obtained using a pretested, structured and interviewer-administered questionnaire. Hypertension and diabetes mellitus were defined using Joint National Committee 7 Report on Prevention, Detection, Evaluation and Treatment of High Blood Pressure and American Diabetic Association criteria respectively. Results: .The prevalence of abdominal obesity was 11.6%. The family biosocial variables significantly associated with abdominal obesity were family history of obesity (p=0.036) and family inadequate dietary fruits consumption (p=0.042). The most significant predictor of abdominal obesity was family history of obesity (OR=2.60, CI=0.95-13.01, p=0.022). The patient with family history of obesity was two and half times more likely to be obese than those without family history of obesity. Conclusion: Abdominal obesity is associated with family history of obesity and inadequate dietary fruits consumption. The interventional control programs for abdominal obesity should consider these risk factors alongside the complex of other cardiovascular risk factors.},
 year = {2014}
}

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TY  - JOUR
T1  - Prevalence and Family Biosocial Predictors of Abdominal Obesity among Adult Nigerian Africans in a Resource Constrained Setting of a Rural Hospital in Eastern Nigeria
AU  - Gabriel Uche Pascal Iloh
AU  - Agwu Nkwa Amadi
AU  - Augustine Obiora Ikwudinma
AU  - Patrick Uchenna Njoku
Y1  - 2014/01/10
PY  - 2014
N1  - https://doi.org/10.11648/j.ejpm.20130103.14
DO  - 10.11648/j.ejpm.20130103.14
T2  - European Journal of Preventive Medicine
JF  - European Journal of Preventive Medicine
JO  - European Journal of Preventive Medicine
SP  - 70
EP  - 78
PB  - Science Publishing Group
SN  - 2330-8230
UR  - https://doi.org/10.11648/j.ejpm.20130103.14
AB  - Background: The variability of abdominal obesity within and across families is influenced by several factors. However, the relevance of family biosocial factors in the variability of abdominal obesity is an important health care challenge that is often neglected especially in this era of personalized medicine. Aim: This study was designed to determine the prevalence and family biosocial predictors of abdominal obesity among adult Nigerian Africans in a resource constrained setting of a rural hospital in Eastern Nigeria. Materials and Methods: A cross sectional analytic study carried out on 3012 adult patients aged 18-91 years who were screened for abdominal obesity using the Third Report of National Cholesterol Education Panel (NCEP) in adult (ATP III) criterion and 350 patients who had waist circumference (WC) ≥102cm and ≥88cm for men and women respectively and met the inclusion criteria were age and sex matched with 350 non-obese, non-hypertensive and non-diabetic control. Family bio-social variables were obtained using a pretested, structured and interviewer-administered questionnaire. Hypertension and diabetes mellitus were defined using Joint National Committee 7 Report on Prevention, Detection, Evaluation and Treatment of High Blood Pressure and American Diabetic Association criteria respectively. Results: .The prevalence of abdominal obesity was 11.6%. The family biosocial variables significantly associated with abdominal obesity were family history of obesity (p=0.036) and family inadequate dietary fruits consumption (p=0.042). The most significant predictor of abdominal obesity was family history of obesity (OR=2.60, CI=0.95-13.01, p=0.022). The patient with family history of obesity was two and half times more likely to be obese than those without family history of obesity. Conclusion: Abdominal obesity is associated with family history of obesity and inadequate dietary fruits consumption. The interventional control programs for abdominal obesity should consider these risk factors alongside the complex of other cardiovascular risk factors.
VL  - 1
IS  - 3
ER  -

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Author Information

Gabriel Uche Pascal Iloh

Department of Family Medicine, Federal Medical Centre, Umuahia, Abia state, Nigeria
Agwu Nkwa Amadi

Department of Public Health Technology, Federal University of Technology, Owerri, Imo state, Nigeria
Augustine Obiora Ikwudinma

Department of Family Medicine, Federal Teaching Hospital Abakiliki, Nigeria
Patrick Uchenna Njoku

Department of Family Medicine, Federal Medical Centre, Umuahia, Abia state, Nigeria

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Gabriel Uche Pascal Iloh, Agwu Nkwa Amadi, Augustine Obiora Ikwudinma, Patrick Uchenna Njoku. (2014). Prevalence and Family Biosocial Predictors of Abdominal Obesity among Adult Nigerian Africans in a Resource Constrained Setting of a Rural Hospital in Eastern Nigeria. European Journal of Preventive Medicine, 1(3), 70-78. https://doi.org/10.11648/j.ejpm.20130103.14

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ACS Style

Gabriel Uche Pascal Iloh; Agwu Nkwa Amadi; Augustine Obiora Ikwudinma; Patrick Uchenna Njoku. Prevalence and Family Biosocial Predictors of Abdominal Obesity among Adult Nigerian Africans in a Resource Constrained Setting of a Rural Hospital in Eastern Nigeria. Eur. J. Prev. Med. 2014, 1(3), 70-78. doi: 10.11648/j.ejpm.20130103.14

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AMA Style

Gabriel Uche Pascal Iloh, Agwu Nkwa Amadi, Augustine Obiora Ikwudinma, Patrick Uchenna Njoku. Prevalence and Family Biosocial Predictors of Abdominal Obesity among Adult Nigerian Africans in a Resource Constrained Setting of a Rural Hospital in Eastern Nigeria. Eur J Prev Med. 2014;1(3):70-78. doi: 10.11648/j.ejpm.20130103.14

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@article{10.11648/j.ejpm.20130103.14,
  author = {Gabriel Uche Pascal Iloh and Agwu Nkwa Amadi and Augustine Obiora Ikwudinma and Patrick Uchenna Njoku},
  title = {Prevalence and Family Biosocial Predictors of Abdominal Obesity among Adult Nigerian Africans in a Resource Constrained Setting of a Rural Hospital in Eastern Nigeria},
  journal = {European Journal of Preventive Medicine},
  volume = {1},
  number = {3},
  pages = {70-78},
  doi = {10.11648/j.ejpm.20130103.14},
  url = {https://doi.org/10.11648/j.ejpm.20130103.14},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ejpm.20130103.14},
  abstract = {Background: The variability of abdominal obesity within and across families is influenced by several factors. However, the relevance of family biosocial factors in the variability of abdominal obesity is an important health care challenge that is often neglected especially in this era of personalized medicine. Aim: This study was designed to determine the prevalence and family biosocial predictors of abdominal obesity among adult Nigerian Africans in a resource constrained setting of a rural hospital in Eastern Nigeria. Materials and Methods: A cross sectional analytic study carried out on 3012 adult patients aged 18-91 years who were screened for abdominal obesity using the Third Report of National Cholesterol Education Panel (NCEP) in adult (ATP III) criterion and 350 patients who had waist circumference (WC) ≥102cm and ≥88cm for men and women respectively and met the inclusion criteria were age and sex matched with 350 non-obese, non-hypertensive and non-diabetic control. Family bio-social variables were obtained using a pretested, structured and interviewer-administered questionnaire. Hypertension and diabetes mellitus were defined using Joint National Committee 7 Report on Prevention, Detection, Evaluation and Treatment of High Blood Pressure and American Diabetic Association criteria respectively. Results: .The prevalence of abdominal obesity was 11.6%. The family biosocial variables significantly associated with abdominal obesity were family history of obesity (p=0.036) and family inadequate dietary fruits consumption (p=0.042). The most significant predictor of abdominal obesity was family history of obesity (OR=2.60, CI=0.95-13.01, p=0.022). The patient with family history of obesity was two and half times more likely to be obese than those without family history of obesity. Conclusion: Abdominal obesity is associated with family history of obesity and inadequate dietary fruits consumption. The interventional control programs for abdominal obesity should consider these risk factors alongside the complex of other cardiovascular risk factors.},
 year = {2014}
}

Copy | Download

TY  - JOUR
T1  - Prevalence and Family Biosocial Predictors of Abdominal Obesity among Adult Nigerian Africans in a Resource Constrained Setting of a Rural Hospital in Eastern Nigeria
AU  - Gabriel Uche Pascal Iloh
AU  - Agwu Nkwa Amadi
AU  - Augustine Obiora Ikwudinma
AU  - Patrick Uchenna Njoku
Y1  - 2014/01/10
PY  - 2014
N1  - https://doi.org/10.11648/j.ejpm.20130103.14
DO  - 10.11648/j.ejpm.20130103.14
T2  - European Journal of Preventive Medicine
JF  - European Journal of Preventive Medicine
JO  - European Journal of Preventive Medicine
SP  - 70
EP  - 78
PB  - Science Publishing Group
SN  - 2330-8230
UR  - https://doi.org/10.11648/j.ejpm.20130103.14
AB  - Background: The variability of abdominal obesity within and across families is influenced by several factors. However, the relevance of family biosocial factors in the variability of abdominal obesity is an important health care challenge that is often neglected especially in this era of personalized medicine. Aim: This study was designed to determine the prevalence and family biosocial predictors of abdominal obesity among adult Nigerian Africans in a resource constrained setting of a rural hospital in Eastern Nigeria. Materials and Methods: A cross sectional analytic study carried out on 3012 adult patients aged 18-91 years who were screened for abdominal obesity using the Third Report of National Cholesterol Education Panel (NCEP) in adult (ATP III) criterion and 350 patients who had waist circumference (WC) ≥102cm and ≥88cm for men and women respectively and met the inclusion criteria were age and sex matched with 350 non-obese, non-hypertensive and non-diabetic control. Family bio-social variables were obtained using a pretested, structured and interviewer-administered questionnaire. Hypertension and diabetes mellitus were defined using Joint National Committee 7 Report on Prevention, Detection, Evaluation and Treatment of High Blood Pressure and American Diabetic Association criteria respectively. Results: .The prevalence of abdominal obesity was 11.6%. The family biosocial variables significantly associated with abdominal obesity were family history of obesity (p=0.036) and family inadequate dietary fruits consumption (p=0.042). The most significant predictor of abdominal obesity was family history of obesity (OR=2.60, CI=0.95-13.01, p=0.022). The patient with family history of obesity was two and half times more likely to be obese than those without family history of obesity. Conclusion: Abdominal obesity is associated with family history of obesity and inadequate dietary fruits consumption. The interventional control programs for abdominal obesity should consider these risk factors alongside the complex of other cardiovascular risk factors.
VL  - 1
IS  - 3
ER  -

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