Social Demography of Transitional Dietary Patterns in Thailand: Prospective Evidence from the Thai Cohort Study

被引:12
|
作者
Papier, Keren [1 ,2 ,3 ]
Jordan, Susan [3 ,4 ]
D'Este, Catherine [1 ,2 ,5 ]
Banwell, Cathy [1 ,2 ]
Yiengprugsawan, Vasoontara [1 ,2 ,6 ]
Seubsman, Sam-ang [7 ]
Sleigh, Adrian [1 ,2 ]
机构
[1] Australian Natl Univ, ANU Coll Hlth & Med, Res Sch Populat Hlth, Natl Ctr Epidemiol & Populat Hlth, Canberra, ACT 2601, Australia
[2] Australian Natl Univ, Res Sch Populat Hlth, ANU Coll Hlth & Med, Dept Global Hlth, Canberra, ACT 2601, Australia
[3] QIMR Berghofer Med Res Inst, Populat Hlth Dept, Brisbane, Qld 4006, Australia
[4] Univ Queensland, Sch Publ Hlth, Brisbane, Qld 4006, Australia
[5] Univ Newcastle, Sch Med & Publ Hlth, Fac Hlth & Med, Newcastle, NSW 2308, Australia
[6] Australian Natl Univ, Res Sch Populat Hlth, Ctr Res Ageing Hlth & Wellbeing, Canberra, ACT 2601, Australia
[7] Sukhothai Thammathirat Open Univ, Sch Human Ecol, Thai Hlth Risk Transit Study, Nonthaburi 11120, Thailand
基金
澳大利亚国家健康与医学研究理事会; 英国惠康基金; 英国医学研究理事会;
关键词
socioeconomic status; diet patterns; Asian cohort; urban; nutrition transition; principle component analysis; SOCIOECONOMIC-STATUS; OBESITY; INCOME; ASSOCIATIONS; CONSUMPTION; COUNTRIES; DISEASE; HEALTH; ADULTS;
D O I
10.3390/nu9111173
中图分类号
R15 [营养卫生、食品卫生]; TS201 [基础科学];
学科分类号
100403 ;
摘要
In recent decades, a health-risk transition with changes in diet and lifestyle in low and middle-income countries (LMICs) led to an emergence of chronic diseases. These trends in Southeast Asian LMICs are not well studied. Here, we report on transitional dietary patterns and their socio-demographic predictors in Thai adults. Dietary data in 2015 were from a random sub-sample (N = 1075) of 42,785 Thai Cohort Study (TCS) members who completed all three TCS surveys (2005, 2009, 2013). Principle Component Analysis identified dietary patterns and multivariable linear regression assessed associations (Beta estimates (ss) and confidence intervals (CIs)) between socio-demographic factors and dietary intake pattern scores. Four dietary patterns emerged: Healthy Transitional, Fatty Western, Highly Processed, and Traditional. In women, higher income (30,001 Baht/month vs. 10,000) and managerial work (vs. office assistant) was associated with lower scores for Traditional (ss = -0.67, 95% CI -1.15, -0.19) and Fatty Western diets (ss = -0.60, 95% CI -1.14, -0.05), respectively. University education associated with lower Highly Processed (ss = -0.57, 95% CI -0.98, -0.17) and higher Traditional diet scores (ss = 0.42, 95% CI 0.03, 0.81). In men and women, urban residence associated with higher Fatty Western and lower Traditional diets. Local policy makers should promote healthy diets, particularly in urban residents, in men, and in low-SEP adults.
引用
收藏
页数:12
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