Urban-rural difference in the determinants of dietary and energy intake patterns: A case study in West Java, Indonesia

PLoS One. 2018 May 16;13(5):e0197626. doi: 10.1371/journal.pone.0197626. eCollection 2018.

Abstract

Background: Few studies have explored differences in the determinants of individual dietary/energy intake patterns between urban and rural areas.

Objective: To examine whether the associations between individual characteristics and dietary/energy intake patterns differ between urban and rural areas in West Java, Indonesia.

Methods: A 3-day weighed food record, interviews, and anthropometric measurements were conducted in Bandung (urban area; n = 85) and Sumedang (rural area; n = 201). Total energy intake and intake from protein, fat, and carbohydrates were calculated. Food items were grouped into dietary categories based on the main ingredients to calculate their share of total energy intake. The associations between individual characteristics and dietary/energy intake were examined by fitting regression models. Models that also included education and body mass index (BMI) were fitted to adult samples only.

Results: In Sumedang, the total energy intake and energy intake from carbohydrates, fat, and grain/tubers were significantly associated with age and occupation. In Bandung, energy intake from grain/tubers and vegetables/legumes was related to sex and occupation, while other indicators showed no associations. Among adults, BMI was associated with the total energy intake and educational level was associated with energy intake from vegetables/legumes (both only in Sumedang).

Conclusions: The relationship between demographic and socioeconomic factors and dietary/energy intake patterns differs in rural versus urban areas in West Java. These results suggest that different strategies are needed in rural and urban areas to identify and aid populations at risk of diet-related diseases.

Publication types

  • Comparative Study
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adolescent
  • Adult
  • Age Factors
  • Anthropometry
  • Child
  • Child, Preschool
  • Diet / statistics & numerical data*
  • Diet Surveys
  • Educational Status
  • Energy Intake*
  • Female
  • Humans
  • Indonesia
  • Male
  • Middle Aged
  • Rural Population / statistics & numerical data*
  • Surveys and Questionnaires
  • Urban Population / statistics & numerical data*
  • Young Adult

Associated data

  • figshare/10.6084/m9.figshare.5729031

Grants and funding

This work was supported by the Setsutaro Kobayashi Memorial Fund (no. F-181) and the National Institutes for the Humanities Transdisciplinary Projects Research (no. H322031621).