A machine learning model for the prediction of unhealthy alcohol use among women of childbearing age in Alabama.

INTRODUCTION: This study utilizes a machine learning model to predict unhealthy alcohol use treatment levels among women of childbearing age. METHODS: In this cross-sectional study, women of childbearing age (n = 2397) were screened for alcohol use over a 2-year period as part of the AL-SBIRT (screening, brief intervention, and referral to treatment in Alabama) program in three healthcare settings across Alabama for unhealthy alcohol use severity and depression. A support vector machine learning model was estimated to predict unhealthy alcohol use scores based on depression score and age. RESULTS: The machine learning model was effective in predicting no intervention among patients with lower Patient Health Questionnaire (PHQ)-2 scores of any age, but a brief intervention among younger patients (aged 18-27 years) with PHQ-2 scores >3 and a referral to treatment for unhealthy alcohol use among older patients (between the ages of 25 and 50) with PHQ-2 scores >4. CONCLUSIONS: The machine learning model can be an effective tool in predicting unhealthy alcohol use treatment levels and approaches.

Exercise social support, barriers, and instructions in venous thromboembolism survivors: a descriptive study.

Background: Diagnosis of venous thromboembolism (VTE) can be a significant life event that leads to changes in physical activity and exercise. Currently, little is known about the psychosocial experiences of survivors including perceived sources of social support, exercise barriers, and instructions for exercise from medical providers. Objectives: This study aimed to explore psychosocial characteristics associated with VTE survivors' postdiagnosis exercise. Specifically, 1) what are the main sources of social support utilized by VTE survivors for exercise, 2) what are the most significant exercise barriers (eg, physical, social, and psychological) faced by VTE survivors, and 3) what specific information relative to exercise is provided by medical professionals following diagnosis? Methods: VTE survivors (n = 472) were recruited through social media groups to participate in open-ended questions about psychosocial characteristics pertaining to postdiagnosis exercise. Results: VTE survivors reported multiple forms of exercise social support, although almost 1 in 4 participants reported having no support for exercise. Several postdiagnosis exercise barriers were noted, and the data indicated a wide variety of information from their medical providers regarding engaging in exercise following their diagnosis, suggesting that the unique benefits and drawbacks to these instructions should be examined in more detail. Conclusion: Although VTE survivors identified numerous categories of social support, there also exist numerous barriers, including a lack of standardized instructions for exercise. Further exploration of these characteristics is needed to better serve this population to encourage postdiagnosis exercise.

The role of sport participation on exercise self-efficacy, psychological need satisfaction, and resilience among college freshmen.

Objective: To evaluate the relationship between high school sport participation among university students and whether previous sports participation was associated with current levels of exercise-self efficacy, resilience, and psychological need satisfaction physical activity behaviors. Participants: College freshmen (n = 152) in the United States responded to an electronic survey sent out by their university. Methods: Participants completed a set of questionnaires assessing resilience, psychological need satisfaction in exercise, self-efficacy, and current PA. Results: Analysis of variance, Kruskal-Wallis H tests, independent samples t-tests, and ordinary least squares regression modeling were used. Total PA and having met moderate PA guidelines were both associated with exercise SE and PNSE. HS GPA, total PA, and being a college athlete were associated with both resilience and exercise SE. Conclusions: Sport participation may serve as an effective method for students to develop exercise SE, resilience, and PNSE. The development of these skills may support lifelong PA behaviors.

Alcohol misuse among older military veterans: an intersectionality theory perspective.

BACKGROUND: Alcohol misuse among older adults is an emerging public health issue. Older veterans are particularly at risk of developing substance use dependency due to the enduring impacts of military service. The purpose of this study was to test the theory of intersectionality on alcohol misuse by veteran status and age, veteran status and sex, and veteran status and race. METHODS: Combined data from the 2016, 2017, and 2018 Brief Risk Factor Resilience Survey (BRFSS) from the Centers for Disease Control and Prevention (CDC) were used in this cross-sectional study. The BRFSS is conducted annually with adults via landline or cellular telephones in all 50 states in the United States, as well as in the District of Columbia, Puerto Rico, and Guam. Alcohol misuse among individuals aged 65+ was examined by veteran status and the interaction between age, race, and sex using survey-weighted logistic regression models. RESULTS: Results show no interaction between veteran status and age or sex. For the interaction between veteran status and race, significant disparities were found. Black/Other race veterans were significantly more likely to engage in binge drinking and heavy drinking compared to nonveterans of the same race, White veterans, and White nonveterans. CONCLUSION: Older veterans who are also Black, Indigenous and/or people of color (BIPOC) are at great risk of engaging in alcohol misuse due to the combined stressors from their intersectional identities. Interventions targeting this population should consider the historical, cultural, and systemic factors that contribute to a disproportionally higher rate of binge drinking and heavy drinking among BIPOC veterans.

LBNP tolerance analyzed retrospectively using a structural equation model.

UNLABELLED: It would be useful to be able to predict tolerance to lower body negative pressure (LBNP) because of the association of low LBNP tolerance to low orthostatic tolerance. PURPOSE: To determine how well tolerance to LBNP can be modeled using laboratory variables assessed noninvasively. METHODS: There were 125 male and female college age and older (> 60 yr) subjects who underwent graded LBNP to presyncope. Tolerance was quantified by the LBNP tolerance index (LTI). Noninvasive variables assessed at rest and at presyncope were used to predict LTI via structural equation modeling (SEM). SEM can better address the correlation and variable interaction effects inherent in assessing orthostatic tolerance, e.g., multicollinearity, compared to traditional regression techniques. RESULTS: With SEM, the manifest variables of gender, % body fat, maximal change in heart rate from rest to presyncope (delta HR), and resting total peripheral conductance (TPC) explained 40% of the variance in LTI. All the variables had direct significant influences on LTI; in addition, % body fat mediated the influence of gender and age while AHR mediated the effects of TPC. An exaggerated HR response to LBNP was associated with an increased LBNP tolerance (beta = -0.396). CONCLUSION: About 40% of the variability in LBNP tolerance can be predicted using easily measured variables. Male gender, a potentiated HR response to LBNP, higher resting TPC, older age, and lower body fat are associated with an increased LBNP tolerance.