Literature DB >> 26599184

Prevalence of Body Mass Index Lower Than 16 Among Women in Low- and Middle-Income Countries.

Fahad Razak1, Daniel J Corsi2, Arthur S Slutsky3, Anura Kurpad4, Lisa Berkman5, Andreas Laupacis3, S V Subramanian5.   

Abstract

IMPORTANCE: Body mass index (BMI) lower than 16 is the most severe category of adult undernutrition and is associated with substantial morbidity, increased mortality, and poor maternal-fetal outcomes such as low-birth-weight newborns. Little is known about the prevalence and distribution of BMI lower than 16 in low- and middle-income countries (LMIC).
OBJECTIVE: To determine the prevalence and distribution of BMI lower than 16 and its change in prevalence over time in women in LMIC. DESIGN, SETTINGS, AND PARTICIPANTS: Cross-sectional data analysis composed of nationally representative surveys from 1993 through 2012 from the Demographic and Health Surveys Program. Women aged 20 through 49 years from 60 LMIC (N = 500,761) and a subset of 40 countries with repeated surveys (N = 604,144) were examined. EXPOSURES: Wealth was measured using a validated asset index, age was categorized in deciles, education by highest completed level (none, primary, secondary, or greater), and place of residence as urban vs rural. MAIN OUTCOMES AND MEASURES: The primary outcome was BMI lower than 16. Analyses assessed the prevalence of BMI lower than 16, its association with sociodemographic factors, and change in prevalence. Logistic regression models were used to calculate odds ratios (ORs), adjusting for survey design and age structure.
RESULTS: Among countries examined, the pooled, weighted, and age-standardized prevalence of BMI lower than 16 was 1.8% (95% CI, 1.7% to 1.8%) with the highest prevalence in India (6.2% [95% CI, 5.9% to 6.5%]), followed by Bangladesh (3.9% [95% CI, 3.4% to 4.3%]), Madagascar (3.4% [95% CI, 2.8% to 4.0%], Timor-Leste (2.9% [95% CI, 2.4% to 3.2%]), Senegal (2.5% [95% CI, 1.9% to 3.2%]), and Sierra Leone (2.2% [95% CI, 1.3% to 3.0%]); and 6 countries had prevalences lower than 0.1% (Albania, Bolivia, Egypt, Peru, Swaziland, and Turkey). The prevalence of BMI lower than 16 in women with a secondary or higher education level was 0.51% (95% CI, 0.47% to 0.55%), and in mutually adjusted models, a less than primary education level was associated with an OR of 1.4 (95% CI, 1.2 to 1.6). The prevalence of BMI lower than 16 was 0.43% (95% CI, 0.37% to 0.48%) in the highest wealth quintile with an OR of 3.0 (95% CI, 2.4 to 3.7) in the lowest wealth quintile. Among the 24 of 39 countries with repeated surveys, there was no decrease in prevalence. In Bangladesh and India, rates were declining with an average absolute change annually of -0.52% (95% CI, -0.58% to -0.46%) in Bangladesh and -0.11% (95% CI, -0.12% to -0.10%) in India. CONCLUSIONS AND RELEVANCE: Among women in 60 LMIC, the prevalence of BMI lower than 16 was 1.8%, and was associated with poverty and low education levels. Prevalence of BMI lower than 16 did not decrease over time in most countries studied.

Entities:  

Mesh:

Year:  2015        PMID: 26599184     DOI: 10.1001/jama.2015.15666

Source DB:  PubMed          Journal:  JAMA        ISSN: 0098-7484            Impact factor:   56.272


  15 in total

1.  Body weight concerns: Cross-national study and identification of factors related to eating disorders.

Authors:  Wanderson Roberto da Silva; Moema de Souza Santana; João Maroco; Benvindo Felismino Samuel Maloa; Juliana Alvares Duarte Bonini Campos
Journal:  PLoS One       Date:  2017-07-07       Impact factor: 3.240

Review 2.  Fats & fatty acids in Indian diets: Time for serious introspection.

Authors:  Indu Mani; Anura V Kurpad
Journal:  Indian J Med Res       Date:  2016-10       Impact factor: 2.375

3.  Socioeconomic patterns of underweight and its association with self-rated health, cognition and quality of life among older adults in India.

Authors:  Y Selvamani; Pushpendra Singh
Journal:  PLoS One       Date:  2018-03-07       Impact factor: 3.240

4.  Implications of Ethiopian Productive Safety Net Programme on household dietary diversity and women's body mass index: a cross-sectional study.

Authors:  Asnake Ararsa Irenso; Gudina Egata Atomsa
Journal:  Food Nutr Res       Date:  2018-11-01       Impact factor: 3.894

Review 5.  Lifestyle and Circadian Health: Where the Challenges Lie?

Authors:  Neelu Jain Gupta
Journal:  Nutr Metab Insights       Date:  2019-08-06

6.  Prevalence and time trends in overweight and obesity among urban women: an analysis of demographic and health surveys data from 24 African countries, 1991-2014.

Authors:  Dickson Abanimi Amugsi; Zacharie T Dimbuene; Blessing Mberu; Stella Muthuri; Alex C Ezeh
Journal:  BMJ Open       Date:  2017-10-27       Impact factor: 2.692

Review 7.  Clinical efficacy of acupoint embedment in weight control: A systematic review and meta-analysis.

Authors:  William C Cho; Ching Li; Hai-Yong Chen
Journal:  Medicine (Baltimore)       Date:  2018-09       Impact factor: 1.817

8.  Association between population mean and distribution of deviance in demographic surveys from 65 countries: cross sectional study.

Authors:  Fahad Razak; S V Subramanian; Shohinee Sarma; Ichiro Kawachi; Lisa Berkman; George Davey Smith; Daniel J Corsi
Journal:  BMJ       Date:  2018-08-03

9.  Trends in Socioeconomic Inequalities and Prevalence of Anemia Among Children and Nonpregnant Women in Low- and Middle-Income Countries.

Authors:  Fan Yang; Xueyi Liu; Panpan Zha
Journal:  JAMA Netw Open       Date:  2018-09-07

10.  Prevalence and associated factors of underweight, overweight and obesity among women of reproductive age group in the Maldives: Evidence from a nationally representative study.

Authors:  Mohammad Rashidul Hashan; Md Fazla Rabbi; Shams Shabab Haider; Rajat Das Gupta
Journal:  PLoS One       Date:  2020-10-29       Impact factor: 3.240

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.