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Gender Differences in Dietary Patterns and Their Association with the Prevalence of Metabolic Syndrome among Chinese: A Cross-Sectional Study
- Source :
- Nutrients; Volume 8; Issue 4; Pages: 180, Nutrients, Nutrients, Vol 8, Iss 4, p 180 (2016)
- Publication Year :
- 2016
- Publisher :
- Multidisciplinary Digital Publishing Institute, 2016.
-
Abstract
- Few studies have investigated gender differences in dietary intake. The objective of this cross-sectional study was to examine gender differences in dietary patterns and their association with the prevalence of metabolic syndrome. The food intakes of 3794 subjects enrolled by a two-stage cluster stratified sampling method were collected using a valid semi-quantitative food frequency questionnaire (FFQ). Metabolic syndrome (MetS) was defined according to the International Diabetes Federation (IDF) and its prevalence was 35.70% in the sample (37.67% in men and 24.67% in women). Dietary patterns were identified using factor analysis combined with cluster analysis and multiple group confirmatory factor analysis was used to assess the factorial invariance between gender groups. The dominating dietary pattern for men was the “balanced” dietary pattern (32.65%) and that for women was the “high-salt and energy” dietary pattern (34.42%). For men, the “animal and fried food” dietary pattern was related to higher risk of MetS (odds ratio: 1.27; 95% CI: 1.01–1.60), after adjustment for age, marital status, socioeconomic status and lifestyle factors. For women, the “high-salt and energy” dietary pattern was related to higher risk of MetS (odds ratio: 2.27; 95% CI: 1.24–4.14). We observed gender differences in dietary patterns and their association with the prevalence of MetS. For men, the “animal and fried food” dietary pattern was associated with enhancive likelihood of MetS. For women, it was the “high-salt and energy” dietary pattern.
- Subjects :
- 0301 basic medicine
Gerontology
Adult
Male
China
Cross-sectional study
dietary patterns
factor analysis
lcsh:TX341-641
030209 endocrinology & metabolism
Disease cluster
Article
03 medical and health sciences
metabolic syndrome
invariance
cluster analysis
0302 clinical medicine
Asian People
Risk Factors
medicine
Odds Ratio
Prevalence
Humans
Socioeconomic status
Metabolic Syndrome
030109 nutrition & dietetics
Nutrition and Dietetics
business.industry
Odds ratio
Feeding Behavior
Middle Aged
medicine.disease
Confirmatory factor analysis
Stratified sampling
Diet
Cross-Sectional Studies
Marital status
Female
Metabolic syndrome
business
lcsh:Nutrition. Foods and food supply
Food Analysis
Food Science
Demography
Subjects
Details
- Language :
- English
- ISSN :
- 20726643
- Database :
- OpenAIRE
- Journal :
- Nutrients; Volume 8; Issue 4; Pages: 180
- Accession number :
- edsair.doi.dedup.....fcec3ec8bdc9598595c650ee5b091c94
- Full Text :
- https://doi.org/10.3390/nu8040180