Eating Patterns and Type 2 Diabetes Risk in Older Women: Breakfast Consumption and Eating Frequency.

Eating patterns and type 2 diabetes risk in older women: breakfast consumption and eating frequency.

Am J Clin Nutr. 2013 Jun 12;
Mekary RA, Giovannucci E, Cahill L, Willett WC, van Dam RM, Hu FB

BACKGROUND: Little is known about the association between eating patterns and type 2 diabetes (T2D) risk in women. OBJECTIVE: The objective was to examine prospectively associations between regular breakfast consumption, eating frequency, and T2D risk in women. DESIGN: Eating pattern was assessed in 2002 in a cohort of 46,289 US women in the Nurses’ Health Study who were free of T2D, cardiovascular disease, or cancer and were followed for 6 y. We used Cox proportional hazards analysis to evaluate associations with incident T2D. RESULTS: We documented 1560 T2D cases during follow-up. After adjustment for known risk factors for T2D-except for body mass index (BMI), a potential mediator-women who consumed breakfast irregularly (0-6 times/wk) were at higher risk of T2D than were women who consumed breakfast daily (RR: 1.28; 95% CI: 1.14, 1.44). This association was moderately attenuated after adjustment for BMI (RR: 1.20; 95% CI: 1.07, 1.35). In comparison with women who ate 3 times/d, the RRs were 1.09 (0.84, 1.41) for women who ate 1-2 times/d, 1.13 (1.00, 1.27) for women who ate 4-5 times/d, and 0.99 (0.81, 1.21) for women who ate ?6 times/d. Among irregular breakfast consumers, women with a higher eating frequency (?4 times/d) had a significantly greater T2D risk (RR: 1.47; 95% CI: 1.23, 1.75) than did women who consumed breakfast daily and ate 1-3 times/d. Adjustment for BMI attenuated this association (RR: 1.24; 95% CI: 1.04, 1.48). CONCLUSION: Irregular breakfast consumption was associated with a higher T2D risk in women, which was partially but not entirely mediated by BMI. HubMed – eating

 

Association between cognitive impairment and eating habits in elderly Chinese subjects over 90 years of age.

J Int Med Res. 2013 Jun 12;
Gao L, Dong B, Hao QK, Ding X

OBJECTIVE: Eating habits may have a key influence on cognitive function, however, the relationship between dietary intake and cognitive impairment in the elderly Chinese population has not been explored. The present study investigated the association between cognitive impairment and eating habits in elderly Chinese subjects >90 years of age. METHODS: This study comprised data from subjects included in the 2005 Project of Longevity and Ageing in Dujiangyan, China. Subjects were divided into two groups: cognitive impairment group and normal group. Sociodemographic and dietary habit data were collected and cognitive function was assessed in all subjects using the Mini-Mental State Examination. RESULTS: Data from 763 subjects (249 men, 514 women) were included. There was no statistically significant difference in eating habits between the two groups. Education level in the cognitive impairment group was significantly lower than in the normal group. Significant between-group differences were detected in factors relating to subjects’ professions. CONCLUSIONS: Eating habits were not related to cognitive impairment in elderly Chinese people >90 years of age. HubMed – eating

 

Calorie estimation accuracy and menu labeling perceptions among individuals with and without binge eating and/or purging disorders.

Eat Weight Disord. 2013 May 16;
Roberto CA, Haynos AF, Schwartz MB, Brownell KD, White MA

Menu labeling is a public health policy that requires chain restaurants in the USA to post kilocalorie information on their menus to help consumers make informed choices. However, there is concern that such a policy might promote disordered eating. This web-based study compared individuals with self-reported binge eating disorder (N = 52), bulimia nervosa (N = 25), and purging disorder (N = 17) and those without eating disorders (No ED) (N = 277) on restaurant calorie information knowledge and perceptions of menu labeling legislation. On average, people answered 1.46 ± 1.08 questions correctly (out of 6) (25 %) on a calorie information quiz and 92 % of the sample was in favor of menu labeling. The findings did not differ based on eating disorder, dieting, or weight status, or race/ethnicity. The results indicated that people have difficulty estimating the calories in restaurant meals and individuals with and without eating disorders are largely in favor of menu labeling laws. HubMed – eating

 

The relationship between Internet addiction and bulimia in a sample of Chinese college students: depression as partial mediator between Internet addiction and bulimia.

Eat Weight Disord. 2013 Apr 9;
Tao Z

BACKGROUND: It has been reported that Internet addiction is associated with substance dependence. Eating disorders have high rates of co-morbidity with substance use disorders. The relationship between Internet addiction and eating disorders was reported in a previous study. AIMS: To examine the hypothesis that Internet addiction is closely associated with bulimia. The hypothesis that depression mediates the relationship between Internet addiction and bulimia symptoms was also tested. METHODS: 2,036 Chinese college students were assessed on Internet addiction, eating behaviors and depression. Binge eating, compensatory behaviors, weight concern, menarche and weight change were also reported. Multiple regression analysis was used to test the mediating effect of depression. RESULTS: Internet addicts showed significantly higher scores on most subscales on EDI-1 than the controls. They reported significantly more binge eating, weight concern and weight change than the controls. Among all of the participants, depression was found to be a partial mediator in the relationship between Internet addiction and bulimia. CONCLUSION: This survey provides evidence of the co-morbidity of Internet addiction and bulimia. HubMed – eating

 


 

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