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Introduction: With limited research for mental health and alcohol use among veterans in the general population and none for elderly male veterans only, the purpose is to assess whether mental health differs by alcohol use in elderly male veterans in the general population. Method: This cross-sectional analysis uses 2017 Behavioral Risk Factor Surveillance System data for male veterans aged 65 and older in general population samples from Florida ( n = 1,700), Maryland ( n = 1,060), New York ( n = 552), and Washington ( n = 1,031). Multiple logistic regression by state assessed the relationship between mental health and alcohol use, after controlling for health-related, demographic, and socioeconomic factors. Results: Across states, most participants reported good mental health (80%-84%) and more than half reported drinking (53%-63%). Adjusted results indicated that mental health did not differ by alcohol use in any state; however, it was related to physical health and activity limitations across states. Conclusion: Overall, alcohol use was not related to mental health in elderly male veterans in the general population; however, physical health status and activity limitations were. Practitioners should always screen for alcohol use and should automatically screen for mental health, physical health, and activity limitations when symptoms present for any and assess concurrent treatment and management strategies.

Purpose. Research shows that smoking during pregnancy is related to mental health diagnoses. The purpose of this study was to assess whether current general mental health status is related to current smoking status in pregnant women after controlling for other factors related to both mental health and tobacco use during pregnancy. Methods. This cross-sectional analysis used 2017 Behavioral Risk Factor Surveillance Survey (BRFSS) data for 621 pregnant women aged 18-38 from Florida (N=136), Kansas (N=116), Minnesota (N=105), Nebraska (N=90), New York (N=78), and Utah (N=96). Multiple logistic regression analysis was used to assess the relationship between current mental health status and current tobacco use, while controlling for state, depression diagnosis, routine checkup, healthcare plan, age, marital status, ethnicity/race, education level, income level, and employment status. Results. Overall, very few participants reported current smoking (6%) and about one-third reported low or moderate mental health status in the past 30 days. Adjusted results indicated that those who reported high mental health status were about 3 times less likely (OR=0.29, 95% CI=0.09, 0.88) to report current smoking status compared to those who reported low mental health status. Conclusions. Overall, current mental health status was highly related to current smoking status in pregnant women. Clinicians in obstetrics may expect a very low proportion of pregnant women to report smoking and up to one-third to report low or moderate current general mental health status. Given that current mental health issues and current tobacco use may harm both mother and child, be highly related in pregnant women, and change throughout the pregnancy, pregnant women should be screened automatically for both at each visit.

Objectives: While physical activity is important for health, many women do not meet recommended levels, particularly mothers. The purpose of this study was to assess whether physical activity levels differ by number of children at home in women aged 25–44 in the general US population. Methods: This cross-sectional analysis used 2017 Behavioral Risk Factor Surveillance System data for females aged 25–44 (N = 6266) from California, Colorado, New York, Texas, and Utah. Ordered logistic regression analysis assessed the relationship between physical activity levels and number of children at home while controlling for state and demographic, socioeconomic, and health-related factors. Results: About half of participants reported “inactive” or “insufficiently active” physical activity levels and about two-thirds reported having one or more children at home. The results of adjusted analysis indicated that physical activity level was significantly related to having one child (adjusted odds ratio = 0.75, 95% confidence interval = 0.63, 0.89), two children (adjusted odds ratio = 0.79; 95% confidence interval = 0.67, 0.93), and three or more children (adjusted odds ratio = 0.80, 95% confidence interval = 0.67, 0.94) at home. Conclusion: Overall, physical activity levels were significantly related to presence of children at home for women aged 25–44, but increasing number of children at home did not impact effect size. For women aged 25–44 in a primary care setting, a moderate prevalence of inactive or insufficiently active physical activity may be expected. Providers should address physical activity with all patients in this target population during well-visits, but particularly for women with children at home; educate patients about the health benefits of regular physical activity; and provide resources that will help them integrate physical activity into their daily lifestyles.

Objectives: Fruit and vegetable consumption may impact development of diabetes, but limited research has addressed whether daily consumption of fruits and vegetables differs by those with and without diabetes, especially within high-risk groups. Thus, the purpose of this study was to determine whether daily fruit and vegetable consumption differs by diabetes status in middle-aged females in the general US population. Methods: This cross-sectional analysis used 2017 Behavioral Risk Factor Surveillance System data for females ages 45–64 years old in Arizona (n = 2609), Florida (n = 3768), Georgia (n = 1018), and Texas (n = 2092). Multiple logistic regression analysis by state assessed the relationship between the daily consumption of fruit (fruit, 100% fruit juice) and vegetables (green leafy or lettuce salad, potatoes, other vegetables) and diabetes status, while controlling for health status, health behaviors, demographic factors, and socioeconomic status. Results: Across states, relatively similar proportions of participants with and without diabetes reported daily fruit consumption (with: 58%–63%; without: 61%–68%) and daily vegetable consumption (with: 58%–63%; without: 61%–68%). The results of adjusted analyses indicated that daily fruit and vegetable consumption did not differ by diabetes status across states. Conclusion: Across states, daily fruit and vegetable consumption did not differ by diabetes status in middle-aged females. In the primary care setting, providers should educate all females ages 45–64 on the importance of eating fresh fruits and vegetables and may consider sharing information about flavonoid-rich fruit and vegetable consumption for diabetes.