OBJECTIVE:We studied the associations between personality traits and the risk of coronary heart disease (CHD) or stroke in women with diabetes. METHODS:From the Women's Health Initiative, 15,029 women aged 50 to 79 years at enrollment and with self-reported treated diabetes at baseline or follow-up, were followed for a mean of 10 years. Personality traits measured from validated scales included hostility, optimism, ambivalence over emotional expressiveness, and negative emotional expressiveness. Multivariable Cox proportional-hazards regression models were used to examine associations between personality traits and the risk of adjudicated CHD (nonfatal myocardial infarction and CHD death) or stroke outcomes. Progressively adjusted regression approach was used in the multivariable models to adjust for demographics, depression, anthropometric variables, and lifestyle factors. RESULTS:A total of 1,118 incident CHD and 710 incident stroke cases were observed. Women in the highest quartile of hostility had 22% (hazard ratio [HR] 1.22, 95% confidence interval [CI] 1.01-1.48) increased risk for CHD compared with women in the lowest quartile of hostility. P values for trend were greater than 0.05. Stratified analysis by prevalent or incident diabetes showed that the highest quartile of hostility had 34% increased risk for CHD (HR 1.34, 95% CI 1.03-1.74) among women with incident diabetes. Other personality traits were not significantly associated with stroke or CHD. CONCLUSIONS:Hostility was associated with incidence of CHD among postmenopausal women with diabetes, especially among incident diabetes. These results provide a basis for targeted prevention programs for women with a high level of hostility and diabetes.

Objective

Weight gain frequently occurs after smoking cessation. The objective of this study was to examine whether weight gain after smoking cessation was attenuated by physical activity (PA) in postmenopausal women.

Methods

A total of 4,717 baseline smokers from the Women's Health Initiative were followed for 3 years. One thousand two hundred eighty-two women quit smoking, and 3,435 continued smoking. Weight was measured at baseline and at the year 3 visit. PA was assessed at both times by self-report, summarized as metabolic equivalent task-hours per week. Multiple linear regression models were used to assess the association between PA and postcessation weight gain, adjusting for potential confounding factors.

Results

Compared with continuing smokers, quitters gained an average of 3.5 kg (SD = 5.6) between the baseline and year 3 visit. Quitters with decreased PA had the highest amount of weight gain (3.88 kg, 95% CI: 3.22-4.54); quitters with increased PA (≥15 metabolic equivalent task-hours /week) had the lowest weight gain (2.55 kg, 95% CI: 1.59-3.52). Increased PA had a stronger beneficial association for postcessation weight gain for women with obesity compared to normal weight women. Quitters who had low PA at baseline and high PA at year 3 and were also enrolled in a dietary modification intervention had nonsignificant weight gain (1.88 kg, 95% CI: -0.21-3.96) compared with continuing smokers.

Conclusions

Our data demonstrate that even a modest increase in PA (equivalent to current recommendations) can attenuate weight gain after quitting smoking among postmenopausal women, especially in combination with improved diet.

We conducted latent class analyses to identify women with homogeneous combinations of lifestyle and behavioral variables and tested whether latent classes were prospectively associated with diabetes incidence for women with or without baseline obesity. A total of 64,710 postmenopausal women aged 50-79 years without prevalent diabetes at baseline (years 1993-1998) were followed until 2018 with a mean follow-up of 14.6 years (sd = 6.4). Lifestyle variables included smoking, diet quality, physical activity, and sleep quality. Psychosocial variables included social support, depression, and optimism. Multivariable Cox proportional hazards regression models tested associations between latent classes and diabetes incidence controlling for age, race/ethnicity, and education. During follow-up, 8076 (12.4%) women developed diabetes. For women without baseline obesity, five latent classes were identified. Compared with a lower risk referent, diabetes incidence was higher in classes characterized by high probability of multiple lifestyle and psychosocial risks (HR = 1.45; 95% CI 1.28, 1.64), poor diet and exercise (HR = 1.23; 95% CI 1.13, 1.33), and psychosocial risks alone (HR = 1.20; 95% CI 1.12, 1.29). For women with baseline obesity, four latent classes were identified. Compared with a lower risk referent, diabetes incidence was higher for women with obesity in classes characterized by high probability of multiple lifestyle and psychosocial risks (HR = 1.48; 95% CI 1.32, 1.66), poor diet and exercise (HR = 1.32; 95% CI 1.19, 1.47), and intermediate probabilities of multiple risks (HR = 1.17; 95% CI 1.05, 1.30). Diabetes prevention efforts that focus on diet and exercise may benefit from attention to how lifestyle behaviors interact with psychosocial variables to increase diabetes risks, and conversely, how psychological or social resources may be leveraged with lifestyle changes to reduce the risk for women with and without obesity.