Literature DB >> 29599385

Prevalence and sociodemographic determinants of adult obesity: a large representative household survey in a resource-constrained African setting with double burden of undernutrition and overnutrition.

Chibuike Ogwuegbu Chigbu1,2, Klaus G Parhofer3, Uzochukwu U Aniebue2, Ursula Berger4.   

Abstract

BACKGROUND: The obesity epidemic has continued to spread across the globe involving even poor nations of the world.
METHOD: Household population survey of adults aged 20-60 years. Multistage stratified cluster randomised sampling involving both urban and rural statewide representative population samples. Anthropometric measurements were taken using standard methods. Prevalences were weighted and multinomial regression analyses were done.
RESULTS: A total of 6628 individuals from 2843 households were surveyed. The weighted overall prevalence for underweight was 9.1% (95% CI 8.1 to 10.1), 65.1% (95% CI 63.6 to 66.6) for normal weight, 19.0% (95% CI 17.8 to 20.3) for overweight and 6.8% (95% CI 6.0 to 7.5) for obese. Men were less likely to be overweight (adjusted OR (AOR) 0.79; 95% CI 0.68 to 0.92) and obese (AOR 0.24; 95% CI 0.19 to 0.31) than women. Urban residents were more likely to be overweight (AOR 1.42; 95% CI 1.18 to 1.71) and obese (AOR 2.09; 95% CI 1.58 to 2.76) than rural residents. Each additional 1-year increase in age increased the risk of overweight by 1.012 (AOR 1.012; 95% CI 1.005 to 1.018) and that of obesity by 1.03 (AOR 1.03; 95% CI 1.02 to 1.04). The low-income class was less likely to be overweight (AOR 0.694; 95% CI 0.507 to 0.951) and obese (AOR 0.44; 95% CI 0.28 to 0.67).
CONCLUSION: The prevalence of obesity and overweight in Enugu Nigeria is high and fast approaching that of underweight. Women, urban dwellers, older adults and high-income earners are at higher risk for obesity and overweight. The study provides robust information for public health policies towards the prevention of obesity in Nigeria. © Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2018. All rights reserved. No commercial use is permitted unless otherwise expressly granted.

Entities:  

Keywords:  epidemiology; obesity; public health; socioeconomic

Mesh:

Year:  2018        PMID: 29599385     DOI: 10.1136/jech-2018-210573

Source DB:  PubMed          Journal:  J Epidemiol Community Health        ISSN: 0143-005X            Impact factor:   3.710


  6 in total

1.  Physical Activity and Outdoor Leisure Time Physical Exercise: A Population Study of Correlates and Hindrances in a Resource-Constrained African Setting.

Authors:  Chibuike Ogwuegbu Chigbu; Ursula Berger; Uzochukwu Aniebue; Klaus Georg Parhofer
Journal:  J Multidiscip Healthc       Date:  2020-12-02

2.  Relationships between menstrual status and obesity phenotypes in women: a cross-sectional study in northern China.

Authors:  Xueyu Chen; Hui Xi; Long Ji; Weihua Liu; Fengxue Shi; Yanru Chen; Xiaohui Wang; Wenran Zhang; Xinxia Sui; Xiaojun Wang; Haitao Zhang; Huamin Liu; Dong Li
Journal:  BMC Endocr Disord       Date:  2020-06-22       Impact factor: 2.763

3.  Glycemic Control of Diabetes Mellitus Patients in Referral Hospitals of Amhara Region, Ethiopia: A Cross-Sectional Study.

Authors:  Berhanu Elfu Feleke; Teferi Elfu Feleke; Melkamu Beyene Kassahun; Wondemu Gebrekirose Adane; Netsanet Fentahun; Abel Girma; Alamirew Alebachew; Eyaya Misgan; Hanna Demelash Desyibelew; Mulat Tirfie Bayih; Omer Seid
Journal:  Biomed Res Int       Date:  2021-01-16       Impact factor: 3.411

4.  Obesity Risk-Factor Variation Based on Island Clusters: A Secondary Analysis of Indonesian Basic Health Research 2018.

Authors:  Sri Astuti Thamrin; Dian Sidik Arsyad; Hedi Kuswanto; Armin Lawi; Andi Imam Arundhana
Journal:  Nutrients       Date:  2022-02-24       Impact factor: 5.717

Review 5.  What is a "high" prevalence of obesity? Two rapid reviews and a proposed set of thresholds for classifying prevalence levels.

Authors:  Tim Lobstein; Jo Jewell
Journal:  Obes Rev       Date:  2021-09-28       Impact factor: 10.867

6.  Maternal weight and birth outcomes among women on antiretroviral treatment from conception in a birth surveillance study in Botswana.

Authors:  Rebecca Zash; Ellen C Caniglia; Modiegi Diseko; Gloria Mayondi; Judith Mabuta; Rebecca Luckett; G Justus Hofmeyr; Chelsea Morroni; Doreen Ramogola-Masire; Paige L Williams; Chloe Zera; Blair J Wylie; Joseph Makhema; Shahin Lockman; Roger L Shapiro
Journal:  J Int AIDS Soc       Date:  2021-06       Impact factor: 5.396

  6 in total

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