SSOAR Logo
    • Deutsch
    • English
  • English 
    • Deutsch
    • English
  • Login
SSOAR ▼
  • Home
  • About SSOAR
  • Guidelines
  • Publishing in SSOAR
  • Cooperating with SSOAR
    • Cooperation models
    • Delivery routes and formats
    • Projects
  • Cooperation partners
    • Information about cooperation partners
  • Information
    • Possibilities of taking the Green Road
    • Grant of Licences
    • Download additional information
  • Operational concept
Browse and search Add new document OAI-PMH interface
JavaScript is disabled for your browser. Some features of this site may not work without it.

Download PDF
Download full text

(245.5Kb)

Citation Suggestion

Please use the following Persistent Identifier (PID) to cite this document:
https://nbn-resolving.org/urn:nbn:de:0168-ssoar-203398

Exports for your reference manager

Bibtex export
Endnote export

Display Statistics
Share
  • Share via E-Mail E-Mail
  • Share via Facebook Facebook
  • Share via Bluesky Bluesky
  • Share via Reddit reddit
  • Share via Linkedin LinkedIn
  • Share via XING XING

Patterns, distribution, and determinants of under- and overnutrition among women in Nigeria: a population-based analysis

Muster, Verteilung und Determinanten von Unter- und Überernährung von Frauen in Nigeria: eine bevölkerungsbasierte Analyse
[journal article]

Uthman, Olalekan A.

Abstract

Objective: To determine the patterns and determinants of nutritional status among women in Nigeria. Methods: Using a body mass index (BMI) category of 18.5–24.99 kg/m2 (normal weight) as the reference, set of univariable and multivariable multinomial logistic regression models were fitted to investi... view more

Objective: To determine the patterns and determinants of nutritional status among women in Nigeria. Methods: Using a body mass index (BMI) category of 18.5–24.99 kg/m2 (normal weight) as the reference, set of univariable and multivariable multinomial logistic regression models were fitted to investigate the independent association between different sociodemographic characteristics and nutritional status. Results were presented in the form of relative risk ratios (RRR) with significance levels and 95% confidence intervals (95% CI). Results: Almost two-thirds of women had BMIs in the normal range. Of the total sample, 14.5% of subjects were classified as underweight, 14.3% as overweight and 5.5% as obese. The youngest women are the most likely subgroup to be thin; one-quarter of women aged 15–19 have a BMI of less than 18.5 kg/m2. There is significant regional variation, with the prevalence of thinness ranging from 6% in the north central area to 22% in the northeast. There was a clear socioeconomic distribution underlying patterns of nutritional status, with women in low socioeconomic positions (SEP) experiencing a greater risk of being underweight and those in high SEPs experiencing the greatest risk of being overweight and obese. Conclusions: The results show that women in low SEPs are more likely to be underweight, and women in high SEPs are more likely to be obese. There is a need for public health programs to promote nutritious food and a healthy lifestyle to address both types of malnutrition at the same time. It will also be important for these programs to be age and region sensitive.... view less

Keywords
adipositas; socioeconomic position; social situation; undernourishment; woman; bad eating habits; Nigeria; West Africa

Classification
Sociology of Developing Countries, Developmental Sociology
Women's Studies, Feminist Studies, Gender Studies

Method
applied research; empirical; quantitative empirical

Free Keywords
Malnutrition; Obesity; Socioeconomic status

Document language
English

Publication Year
2009

Page/Pages
p. 289-299

Journal
Journal of Public Health, 17 (2009) 5

DOI
https://doi.org/10.1007/s10389-009-0251-z

Status
Postprint; peer reviewed

Licence
PEER Licence Agreement (applicable only to documents from PEER project)


GESIS LogoDFG LogoOpen Access Logo
Home  |  Legal notices  |  Operational concept  |  Privacy policy
© 2007 - 2025 Social Science Open Access Repository (SSOAR).
Based on DSpace, Copyright (c) 2002-2022, DuraSpace. All rights reserved.
 

 


GESIS LogoDFG LogoOpen Access Logo
Home  |  Legal notices  |  Operational concept  |  Privacy policy
© 2007 - 2025 Social Science Open Access Repository (SSOAR).
Based on DSpace, Copyright (c) 2002-2022, DuraSpace. All rights reserved.