OBJECTIVE: To study the relationship between dietary intake and the development of type 2 diabetes among Chinese adults. DESIGN: A prospective cohort study. Dietary assessment was carried out using a validated FFQ. Principal component analysis was used to identify dietary patterns. Dietary glycaemic load and variety of snacks were also calculated. SETTING: A hospital-based centre at the Queen Mary Hospital in Hong Kong SAR, China. SUBJECTS: A total of 1010 Chinese adults aged 25-74 years who participated in a territory-wide dietary and cardiovascular risk factor prevalence survey in 1995-1996 were followed up for 9-14 years for the development of diabetes. RESULTS: A total of 690 (68·3 %) individuals completed follow-up during 2005-2008 and seventy-four cases of diabetes were identified over the follow-up period. Four dietary patterns were identified ('more snacks and drinks', 'more vegetables, fruits and fish', 'more meat and milk products' and 'more refined grains'). After adjustment for age, sex, BMI, waist-to-hip ratio, smoking, alcohol intake, participation in exercise/sports and family history of diabetes, the more vegetables, fruits and fish pattern was associated with a 14 % lower risk (OR per 1 sd increase in score = 0·76; 95 % CI 0·58, 0·99), whereas the more meat and milk products pattern was associated with a 39 % greater risk of diabetes (OR per 1 sd increase in score = 1·39; 95 % CI 1·04, 1·84). Dietary glycaemic load, rice intake, snack intake and variety of snacks were not independently associated with diabetes. CONCLUSIONS: The more vegetables, fruits and fish pattern was associated with reduced risk and the more meat and milk products pattern was associated with an increased risk of diabetes.
OBJECTIVE: To study the relationship between dietary intake and the development of type 2 diabetes among Chinese adults. DESIGN: A prospective cohort study. Dietary assessment was carried out using a validated FFQ. Principal component analysis was used to identify dietary patterns. Dietary glycaemic load and variety of snacks were also calculated. SETTING: A hospital-based centre at the Queen Mary Hospital in Hong Kong SAR, China. SUBJECTS: A total of 1010 Chinese adults aged 25-74 years who participated in a territory-wide dietary and cardiovascular risk factor prevalence survey in 1995-1996 were followed up for 9-14 years for the development of diabetes. RESULTS: A total of 690 (68·3 %) individuals completed follow-up during 2005-2008 and seventy-four cases of diabetes were identified over the follow-up period. Four dietary patterns were identified ('more snacks and drinks', 'more vegetables, fruits and fish', 'more meat and milk products' and 'more refined grains'). After adjustment for age, sex, BMI, waist-to-hip ratio, smoking, alcohol intake, participation in exercise/sports and family history of diabetes, the more vegetables, fruits and fish pattern was associated with a 14 % lower risk (OR per 1 sd increase in score = 0·76; 95 % CI 0·58, 0·99), whereas the more meat and milk products pattern was associated with a 39 % greater risk of diabetes (OR per 1 sd increase in score = 1·39; 95 % CI 1·04, 1·84). Dietary glycaemic load, rice intake, snack intake and variety of snacks were not independently associated with diabetes. CONCLUSIONS: The more vegetables, fruits and fish pattern was associated with reduced risk and the more meat and milk products pattern was associated with an increased risk of diabetes.
Authors: Margaret R Karagas; Tracy Punshon; Matt Davis; Catherine M Bulka; Francis Slaughter; Despina Karalis; Maria Argos; Habibul Ahsan Journal: Curr Environ Health Rep Date: 2019-12
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Authors: Geoffrey Livesey; Richard Taylor; Helen F Livesey; Anette E Buyken; David J A Jenkins; Livia S A Augustin; John L Sievenpiper; Alan W Barclay; Simin Liu; Thomas M S Wolever; Walter C Willett; Furio Brighenti; Jordi Salas-Salvadó; Inger Björck; Salwa W Rizkalla; Gabriele Riccardi; Carlo La Vecchia; Antonio Ceriello; Antonia Trichopoulou; Andrea Poli; Arne Astrup; Cyril W C Kendall; Marie-Ann Ha; Sara Baer-Sinnott; Jennie C Brand-Miller Journal: Nutrients Date: 2019-06-05 Impact factor: 5.717
Authors: Ran Zhao; Shuangshuang Yan; Min Liu; Bi Wang; Dong Hu; Dongbei Guo; Juan Wang; Wanting Xu; Chun Fan Journal: Environ Sci Pollut Res Int Date: 2016-05-19 Impact factor: 4.223
Authors: A J Cooper; N G Forouhi; Z Ye; B Buijsse; L Arriola; B Balkau; A Barricarte; J W J Beulens; H Boeing; F L Büchner; C C Dahm; B de Lauzon-Guillain; G Fagherazzi; P W Franks; C Gonzalez; S Grioni; R Kaaks; T J Key; G Masala; C Navarro; P Nilsson; K Overvad; S Panico; J Ramón Quirós; O Rolandsson; N Roswall; C Sacerdote; M-J Sánchez; N Slimani; I Sluijs; A M W Spijkerman; B Teucher; A Tjonneland; R Tumino; S J Sharp; C Langenberg; E J M Feskens; E Riboli; N J Wareham Journal: Eur J Clin Nutr Date: 2012-08-01 Impact factor: 4.016