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Socioeconomic status and dietary patterns in children from around the world: different associations by levels of country human development?
- Source :
- 2017, ' Socioeconomic status and dietary patterns in children from around the world: different associations by levels of country human development? ', BMC Public Health, vol. 17, no. 1, 457 . https://doi.org/10.1186/s12889-017-4383-8, BMC Public Health, BMC Public Health, Vol 17, Iss 1, Pp 1-11 (2017)
- Publication Year :
- 2017
- Publisher :
- Springer Science and Business Media LLC, 2017.
-
Abstract
- Background Although ‘unhealthy’ diet is a well-known risk factor for non-communicable diseases, its relationship with socio-economic status (SES) has not been fully investigated. Moreover, the available research has largely been conducted in countries at high levels of human development. This is the first study to examine relationships among dietary patterns and SES of children from countries spanning a wide range of human development. Methods This was a multinational cross-sectional study among 9–11 year-old children (n = 6808) from urban/peri-urban sites across 12 countries. Self-reported food frequency questionnaires were used to determine the children’s dietary patterns. Principal Components Analysis was employed to create two component scores representing ‘unhealthy’ and ‘healthy’ dietary patterns. Multilevel models accounting for clustering at the school and site level were used to examine the relationships among dietary patterns and SES. Results The mean age of participants in this study (53.7% girls) was 10.4 years. Largest proportions of total variance in dietary patterns occurred at the individual, site, and school levels (individual, school, site: 62.8%; 10.8%; 26.4% for unhealthy diet pattern (UDP) and 88.9%; 3.7%; 7.4%) for healthy diet pattern (HDP) respectively. There were significant negative ‘unhealthy’ diet-SES gradients in 7 countries and positive ‘healthy’ diet-SES gradients in 5. Within country diet-SES gradients did not significantly differ by HDI. Compared to participants in the highest SES groups, unhealthy diet pattern scores were significantly higher among those in the lowest within-country SES groups in 8 countries: odds ratios for Australia (2.69; 95% CI: 1.33–5.42), Canada (4.09; 95% CI: 2.02–8.27), Finland (2.82; 95% CI: 1.27–6.22), USA (4.31; 95% CI: 2.20–8.45), Portugal (2.09; 95% CI: 1.06–4.11), South Africa (2.77; 95% CI: 1.22–6.28), India (1.88; 95% CI: 1.12–3.15) and Kenya (3.35; 95% CI: 1.91–5.87). Conclusions This study provides evidence of diet-SES gradients across all levels of human development and that lower within-country SES is strongly related to unhealthy dietary patterns. Consistency in within-country diet-SES gradients suggest that interventions and public health strategies aimed at improving dietary patterns among children may be similarly employed globally. However, future studies should seek to replicate these findings in more representative samples extended to more rural representation. Electronic supplementary material The online version of this article (doi:10.1186/s12889-017-4383-8) contains supplementary material, which is available to authorized users.
- Subjects :
- Male
0301 basic medicine
Gerontology
Healthy Diet
Cross-sectional study
Gini index
0302 clinical medicine
DISPARITIES
Risk Factors
ADOLESCENTS
Epidemiology
030212 general & internal medicine
Child
Principal Component Analysis
unhealthy/healthy diet
NUTRITION TRANSITION
lcsh:Public aspects of medicine
Multilevel model
1. No poverty
non-communicable diseases
3142 Public health care science, environmental and occupational health
3. Good health
OBESITY
ENERGY DENSITY
Female
SCHOOL-AGED CHILDREN
Diet, Healthy
Research Article
Hdi
medicine.medical_specialty
household income
Household income
Non-communicable diseases
Unhealthy/healthy diet
03 medical and health sciences
SDG 3 - Good Health and Well-being
FOOD
Nutrition transition
medicine
Humans
QUALITY
Socioeconomic status
030109 nutrition & dietetics
business.industry
Public Health, Environmental and Occupational Health
lcsh:RA1-1270
Odds ratio
medicine.disease
Obesity
Diet
Cross-Sectional Studies
Social Class
Socioeconomic Factors
416 Food Science
HEALTHY EATING INDEX
RISK-FACTORS
Self Report
Biostatistics
business
Demography
Subjects
Details
- ISSN :
- 14712458
- Volume :
- 17
- Database :
- OpenAIRE
- Journal :
- BMC Public Health
- Accession number :
- edsair.doi.dedup.....e71944b9bb871f067a3f7e3ee308e39b
- Full Text :
- https://doi.org/10.1186/s12889-017-4383-8