Cardiometabolic Health in Adolescents with Obesity: The Role of Protein Intake, Diet Quality, and Physical Activity.

Background: Although adolescents with obesity have an increased risk of cardiometabolic disease, a subset maintains a healthy cardiometabolic profile. Unhealthy lifestyle behaviors may determine cardiometabolic risk. We aimed to characterize the lifestyle behaviors of adolescents with obesity, compare differences between metabolically healthy obesity (MHO) and metabolically unhealthy obesity (MUO), and assess associations between lifestyle behaviors and cardiometabolic profiles. Methods: Participants aged 10-18 years with body mass index (BMI) ≥ 95th percentile were included. Dietary intake (DI) was estimated from 3-day food records, and diet quality (DQ) was assessed using the Healthy Eating Index-Canadian Adaptation. Physical activity (PA), body composition, anthropometrics, blood markers, and blood pressure (BP) were objectively measured. MUO was defined as having high triglycerides, BP, glucose, or low high-density lipoprotein. Regression analyses were performed between lifestyle behaviors and cardiometabolic markers. Results: Thirty-nine participants (BMI z-score 2.8 [2.5-3.5], age 12.5 [10.9-13.5] years, 56.4% female) were included. A high proportion of participants failed to meet lifestyle recommendations, particularly for DQ (94.7%, n = 36), fiber (94.7%, n = 36), and PA (90.9%, n = 30). No differences in lifestyle behaviors were found between MUO (59.0%, n = 22) and MHO (41.0%, n = 16). Protein intake was negatively associated with BMI and waist circumference z-scores, fat mass index, insulin resistance, low-density lipoprotein, and C-reactive protein, whereas higher DQ was associated with lower C-reactive protein. Higher light PA levels were associated with lower total cholesterol and triglycerides. Conclusion: Adolescents with either MUO or MHO displayed low adherence to DQ, DI, and PA recommendations; no differences in lifestyle behaviors were found. Protein intake, DQ, and PA were associated with a healthier cardiometabolic profile.

A Preliminary Investigation of a Tool to Measure BCBA Supervisory Behaviors.

Board certified behavior analysts (BCBAs) are in high demand. However, given the fast growth of the field, most behavior analysts who serve as supervisors have recently been certified and thus, have had limited opportunities to refine their supervisory repertoires. Although supervision best practices have been a topic of frequent discussion in behavior analytic publications, little research has been conducted to empirically assess these recommendations with BCBA supervisors. One reason for the lack of research may be due to the scarcity of a method to systematically identify and measure supervisory behaviors. The Operant Supervisory Taxonomy and Index (OSTI; Komaki, 1986Journal of Applied Psychology, 71(2), 270-279, 1998) was developed to identify and categorize supervisory behaviors of effective supervisors in organizational settings. To demonstrate the feasibility of the OSTI with BCBA supervision, this study applied the OSTI with two masters-level students completing a verified course sequence (VCS) as a part of pursing their BCBA credential. Future directions for research and application of the OSTI as a measurement framework for BCBA supervisory behavior and behavior analytic training are discussed.

Consumer awareness and knowledge regarding use of non-steroidal anti-inflammatory drugs (NSAIDs) in a metropolitan area.

Background: Non-steroidal anti-inflammatory drugs (NSAIDs) have well-known adverse effects, and numerous studies have shown inappropriate behaviors regarding their use. The primary aim of this study was to analyze the knowledge, attitudes, and behaviors regarding the use of NSAIDs simultaneously in one of the largest and most populated areas of Italy, Naples. Methods: From 2021 December 14th to 2022 January 4th, a cross-sectional survey study was conducted among community centers, working places, and universities using a snowball sampling method. For inclusion in the study, the participants were required to be at least 18 years old and residents in the metropolitan area of Naples. Three multiple linear regression analysis (MLRA) models were developed by including variables that could potentially be associated with the following outcomes of interest: knowledge (Model I), attitudes (Model II), and behavior (Model III) regarding the use of NSAIDs. Results: Data were acquired from 1,012 questionnaires administered to subjects evenly divided by gender with an average age of 36.8 years and revealed that only 7.9% of the participants self-admittedly did not take NSAIDs, while approximately half the participants (50%) admitted to occasionally using them. The results showed a statistically significant correlation between attitudes regarding the appropriate use of NSAIDs and less knowledge. The regression analyses indicated that behaviors regarding the appropriate use of NSAIDs were statistically significant in younger respondents, non-smokers, and those without children. These interesting results showed that behaviors regarding the appropriate use of NSAIDs were significantly higher among respondents with less knowledge and more positive attitudes. Conclusion: According to the collected data and statistical analysis results, it is possible to identify factors that can greatly affect inappropriate behaviors regarding the use of NSAIDs and establish targeted prevention programs.

Structural brain changes associated with cocaine use and digital cognitive behavioral therapy in cocaine use disorder treatment.

Background: Few studies have investigated changes in brain structure and function associated with recovery from cocaine use disorder (CUD), and fewer still have identified brain changes associated with specific CUD treatments, which could inform treatment development and optimization. Methods: In this longitudinal study, T1-weighted magnetic resonance imaging scans were acquired from 41 methadone-maintained individuals with CUD (15 women) at the beginning of and after 12 weeks of outpatient treatment. As part of a larger randomized controlled trial, these participants were randomly assigned to receive (or not) computer-based training for cognitive behavioral therapy (CBT4CBT), and galantamine (or placebo). Results: Irrespective of treatment condition, whole-brain voxel-based morphometry analyses revealed a significant decrease in right caudate body, bilateral cerebellum, and right middle temporal gyrus gray matter volume (GMV) at post-treatment relative to the start of treatment. Subsequent region of interest analyses found that greater reductions in right caudate and bilateral cerebellar GMV were associated with higher relative and absolute levels of cocaine use during treatment, respectively. Participants who completed more CBT4CBT modules had a greater reduction in right middle temporal gyrus GMV. Conclusions: These results extend previous findings regarding changes in caudate and cerebellar GMV as a function of cocaine use and provide the first evidence of a change in brain structure as a function of engagement in digital CBT for addiction. These data suggest a novel potential mechanism underlying how CBT4CBT and CBT more broadly may exert therapeutic effects on substance-use-related behaviors through brain regions implicated in semantic knowledge.

Impact of mobile Internet use on health-seeking behaviors: evidence from China.

Introduction: Although health-seeking behaviors are crucial to China's healthcare delivery system, the influence of mobile Internet use in this context remains under-explored. This study aimed to comprehensively explore the influence of mobile Internet use on health-seeking behaviors, and meticulously examined the heterogeneity in health outcomes associated with the intersection between mobile Internet use and health-seeking behaviors. Methods: We used nationally representative data derived from the China Family Panel Studies. Given that individuals typically make the decision to use mobile Internet autonomously, an instrumental variable regression methodology was adopted to mitigate potential selection biases. Results: Our findings revealed that mobile Internet use significantly promoted self-medication and adversely affected the use of primary care facilities among Chinese adults. Furthermore, our findings highlighted the heterogeneous effects of mobile Internet use across diverse health demographic groups. Conclusion: These findings underscore the importance of strategic planning and utilizing mobile Internet resources to steer individuals toward more appropriate healthcare-seeking behaviors.

Emotional interference and attentional bias in compulsive sexual behaviors disorder - An fMRI study on heterosexual males.

Background and aims: Despite the inclusion of the Compulsive Sexual Behavior Disorder (CSBD) in the 11th edition of the International Classification of Diseases, emotional and cognitive impairments related to CSBD remains unclear. This study aimed to investigate the behavioral and neuronal effects of emotional interference on cognition among CSBD patients. Methods: Thirty heterosexual males with CSBD and matched healthy controls (HC) were studied with the Emotional Stroop Task using 5 categories of emotionally arousing words (sex-related, positive, fear-related, negative, neutral) during functional magnetic imaging. Results: At the behavioral level, we found the main effect of the condition: sex-related words evoked a stronger Stroop effect than other conditions. At the neural level, we found a significant group effect. Among CSBD patients processing of sex-related words was related to increased activity in the right putamen, right thalamus, hippocampi, and left pulvinar, when compared to HC. We also found a negative correlation between neuronal activation and time spent on sexual activity during the week preceding study and numerous group differences in brain regions connected to the emotional and motivational processing of sexually explicit material, correlating with CSBD symptoms. Conclusions: Behavioral results indicate a specific attentional bias toward sex-related stimuli in both groups, while neural data uncovered stronger reactivity to sex-related words in CSBD compared to HC. This reactivity is related to CSBD symptoms and provides evidence for the interference of sex-related stimuli with cognition. Such results are firmly in line with the Incentive Salience Theory and conceptualizing CSBD as a behavioral addiction.

More than sleep problems? Testing five key health behaviors as reasons for quality of life issues among shift workers.

BACKGROUND: The shift work schedule is a common work arrangement that can disrupt typical sleep-wake rhythms and lead to negative health consequences. The present study aims to examine the effect of shift work on health-related quality of life (QoL) and explore potential behaviorial mediators (i.e., sleep, eating, exercise, smoking, drinking). METHODS: A cross-sectional survey was conducted among 4,449 petroleum workers in southwest China. Data on shift work status, health behaviors, and physical and mental health QoL were collected. We tested our model using path analysis and the Monte Carlo approach among 2,129 included participants. RESULTS: After adjusting for covariates, shift work did not exhibit a significant direct association with QoL. However, shift work indirectly related to poorer physical health quality of life via less frequent healthy food consumption; shift work also indirectly related to poorer mental health QoL via both less frequent healthy food consumption and physical exercise. No significant indirect effects were found via sleeping, smoking, or drinking. CONCLUSIONS: Results suggest that shift work presents a challenge for QoL among Chinese petroleum workers due to their lesser engagement in two specific health behaviors: healthy eating and physical exercise. Healthy eating and exercise may present an even more prominent threat to shift workers' QoL than sleep and substance use. Strategies targeting shift work schedule as well as eating and exercise behaviors may help protect against poor QoL and adverse physical and mental health outcomes in this vulnerable group.

Machine learning algorithms to predict healthcare-seeking behaviors of mothers for acute respiratory infections and their determinants among children under five in sub-Saharan Africa.

Background: Acute respiratory infections (ARIs) are the leading cause of death in children under the age of 5 globally. Maternal healthcare-seeking behavior may help minimize mortality associated with ARIs since they make decisions about the kind and frequency of healthcare services for their children. Therefore, this study aimed to predict the absence of maternal healthcare-seeking behavior and identify its associated factors among children under the age 5 in sub-Saharan Africa (SSA) using machine learning models. Methods: The sub-Saharan African countries' demographic health survey was the source of the dataset. We used a weighted sample of 16,832 under-five children in this study. The data were processed using Python (version 3.9), and machine learning models such as extreme gradient boosting (XGB), random forest, decision tree, logistic regression, and Naïve Bayes were applied. In this study, we used evaluation metrics, including the AUC ROC curve, accuracy, precision, recall, and F-measure, to assess the performance of the predictive models. Result: In this study, a weighted sample of 16,832 under-five children was used in the final analysis. Among the proposed machine learning models, the random forest (RF) was the best-predicted model with an accuracy of 88.89%, a precision of 89.5%, an F-measure of 83%, an AUC ROC curve of 95.8%, and a recall of 77.6% in predicting the absence of mothers' healthcare-seeking behavior for ARIs. The accuracy for Naïve Bayes was the lowest (66.41%) when compared to other proposed models. No media exposure, living in rural areas, not breastfeeding, poor wealth status, home delivery, no ANC visit, no maternal education, mothers' age group of 35-49 years, and distance to health facilities were significant predictors for the absence of mothers' healthcare-seeking behaviors for ARIs. On the other hand, undernourished children with stunting, underweight, and wasting status, diarrhea, birth size, married women, being a male or female sex child, and having a maternal occupation were significantly associated with good maternal healthcare-seeking behaviors for ARIs among under-five children. Conclusion: The RF model provides greater predictive power for estimating mothers' healthcare-seeking behaviors based on ARI risk factors. Machine learning could help achieve early prediction and intervention in children with high-risk ARIs. This leads to a recommendation for policy direction to reduce child mortality due to ARIs in sub-Saharan countries.

Phubbing and its impact on the individual's psychological well-being.

Increasingly, smartphones have become a part of people's everyday lives, and are now considered by many to be an indispensable social accessory. Since attachment to a smartphone could have negative psychological consequences, a burgeoning new area of research has emerged which examines the effects of smartphones on individuals' well-being. Hence, this study focuses on phubbing - one's engagement with the smartphone during a face-to-face conversation with another person or group of people - and its association with psychological well-being. For this investigation, a quantitative descriptive approach has been adopted involving a sample of 370 women and men from Spain between 25 and 60 years old. The survey was distributed during late 2019 and the first quarter of 2020. The Phubbing Behaviors Survey was conducted, comprising five dimensions (cultural, technological, social, communicational, and psychological), and a total of 33 items requiring responses on a 5-point Likert scale. This survey was used in conjunction with the General Health Questionnaire (GHQ-28), consisting of four categories (somatic symptoms, social dysfunction, anxiety and insomnia, and severe depression), and 7 items per category. The findings reveal a positive correlation between phubbing and severe depression and, young women under 25 years old show higher levels of somatic symptoms than men in the same age group. This study demonstrates the need to raise awareness via health education and to promote healthy use of the Internet to prevent psychological distress resulting from phubbing.

Household chaos and childhood obesity-related health outcomes.

OBJECTIVE: Household chaos, defined as a lack of organization, structure, and predictability, has been linked to deleterious childhood health outcomes and may hinder attempts to initiate and maintain healthy lifestyle changes. This study examined the associations of household chaos and obesity-related health conditions in a sample of youth being treated for obesity. METHODS: Participants were 715 patients (61.8% girls; Mage = 12.3 years; 68.7% non-Hispanic Black; M% of 95th BMI %-ile = 146.9%) enrolled in a pediatric weight management clinic. Caregiver report of household chaos was measured using the Confusion, Hubbub and Order Scale (CHAOS). Physiological obesity-related comorbidities (e.g., insulin resistance, hypertension, dyslipidemia) were assessed by a medical clinician and abstracted from electronic medical records; health conditions were dichotomized as present or not present. Psychological functioning was measured with the Pediatric Symptom Checklist, a caregiver-completed mental health screen that assesses internalizing, externalizing, and attention concerns. RESULTS: The Wilcoxon rank-sum test was used to test differences in household chaos scores for each obesity-related health condition. Caregivers of youth diagnosed with hypertension and obstructive sleep apnea reported significantly lower levels of household chaos, while caregivers who reported clinical levels of psychological dysfunction reported higher levels of chaos. CONCLUSIONS: Traditional management of childhood obesity requires changes across multiple health domains (e.g., dietary, exercise, sleep), and such change may be facilitated by structure and consistency. Present findings suggest that psychological resources within pediatric weight management settings should address individual patient-level factors associated with physiological and mental health as well as household functioning.

Relationships between experiences of humiliation on social networks, problematic phone use, and aggressive and altruistic behaviors in young adults.

The purpose of this study was to analyze the relationships between cybervictimization in social networks, problematic smartphone use, aggressive behaviors, and prosocial altruistic tendencies in young adults. The sample consisted of 601 young adults (mean age = 19.96 years; SD = 2.27; 69.1% female) who were administered online assessments of experiences of humiliation on networks, problematic smartphone use, prosocial altruistic tendencies, and aggressiveness. Results indicated significant indirect effects of cyber victimization on aggressiveness and prosocial altruistic tendencies through problematic smartphone use. Problematic cell phone use explained the relationships between online humiliation and aggressive and prosocial altruistic behaviors. The results confirmed the positive relationship between cybervictimization and problematic cell phone use, consistent with previous research. However, the negative relationship between cybervictimization and altruistic prosocial tendencies was not corroborated. The findings emphasize the need to promote actions that foster social connectedness and interdependence among young individuals to develop their identity within the community.

Health Care Team Interventions to Reduce Distress Behaviors in Older Adults: A Systematic Review.

OBJECTIVES: This review examines health care team-focused interventions on managing persistent or recurrent distress behaviors among older adults in long-term residential or inpatient health care settings. METHODS: We searched interventions addressing health care worker (HCW) knowledge and skills related to distress behavior management using Ovid MEDLINE, Elsevier Embase, and Ovid PsycINFO from December 2002 through December 2022. RESULTS: We screened 6,582 articles; 29 randomized trials met inclusion criteria. Three studies on patient-facing HCW interactions (e.g. medication management, diagnosing distress) showed mixed results on agitation; one study found no effect on quality of life. Six HCW-focused studies suggested short-term reduction in distress behaviors. Quality-of-life improvement or decreased antipsychotic use was not evidenced. Among 17 interventions combining HCW-focused and patient-facing activities, 0 showed significant distress reduction, 8 showed significant antipsychotic reduction (OR = 0.79, 95%CI [0.69, 0.91]) and 9 showed quality of life improvements (SMD = 0.71, 95%CI [0.39, 1.04]). One study evaluating HCW, patient-, and environmental-focused intervention activities showed short-term improvement in agitation. CONCLUSIONS AND CLINICAL IMPLICATIONS: Novel health care models combining HCW training and patient management improve patient quality of life, reduce antipsychotic use, and may reduce distress behaviors. Evaluation of intervention's effects on staff burnout and utilization is needed.

What drives preventative health behaviors one year into a pandemic? A replication and extension.

Objective: There is continued interest in understanding what leads people to engage in CDC-recommended COVID-19 prevention behaviors. We tested whether fear and COVID-19 worry would replicate as the primary drivers of six CDC recommended prevention behaviors. Methods and Measures: We recruited 741 adult participants during the second major peak of the COVID-19 pandemic in the United States (early 2021). Using very similar methods to the original study, participants completed a 10-day daily diary. Mixed effects models identified the strongest predictors of each individual prevention behavior as well as approach and avoidance behavior clusters. Results: At the between-person level, COVID-19 worry, COVID-19 perceived susceptibility, fear, and positive emotions all had positive zero-order associations with the prevention behaviors. However, with all predictors in the same model together, primarily COVID-19 worry remained significant for both the individual behaviors and behavior clusters. At the within-person level, only fear related to assessing oneself for COVID-19 and approach behaviors on the same day, but not the next day. Mediational analyses suggested COVID-19 worry, but not COVID-19 susceptibility, mediated the links between fear and approach/avoidance behaviors. Conclusion: Findings replicated worry about yourself or a loved one getting COVID-19 as the strongest predictor of prevention behaviors.

Sociodemographic precursors of explicit and implicit attitudes towards physical activity.

OBJECTIVE: In high-income countries, people with low socio-economic status (SES) engage in less leisure-time physical activity (PA) than those with higher SES. Beyond a materialistic account of this difference, the role of motivational precursors-among which attitudes are emblematic-remains poorly understood, particularly when it comes to dissociating the automatic vs. deliberative components of attitudes. This pre-registered study aimed to examine the associations between SES (i.e. income and educational attainment) and motivational precursors of PA (i.e. explicit and implicit attitudes), and whether gender and age may moderate these relationships. METHOD: We used data from 970 adults (64% of women; mean age = 33 ± 12 years) from the Attitudes, Identities, and Individual Differences (AIID) study. RESULTS: Results of multiple linear regression analyses showed that participants with the highest level of income (>150,000$ per year) reported more positive explicit and implicit attitudes towards PA than those with lower income. Exploratory analysis further showed that women reported weaker explicit attitudes towards PA, while both explicit and implicit attitudes towards PA became weaker at age increases. In contrast, educational attainment was not significantly associated with those attitudes, and there was only mixed evidence for a moderating role of participants' gender on the pattern of associations. CONCLUSION: Our findings suggest that both the explicit and implicit attitudes towards PA may be socially patterned. Future intervention studies should examine whether these attitudinal differences could be reduced, and whether such a reduction could help buffer the unequal participation in PA behaviors across social groups.

Does health-related college major have an effect on health-promoting behaviors? Evidence from Iranian's staff.

Background: Health-promoting behaviors and lifestyle changes can reduce the cost of health services, stress, and disease complications. This study examined the status of health-promoting behaviors and its influencing factors. Methods: This cross-sectional study was conducted on 171 staff members of Zanjan University of Medical Sciences, Iran, in 2023. The Persian version of the health-promoting lifestyle profile II questionnaire was used. Analyzes were performed in R 4.3.2 software. Results: Mean ± SD age was 37.67 ± 7.58 years. 83 % had the low levels of health-promoting behaviors, while 17.0 % had moderate levels. The physical activity and interpersonal relation had the lowest and highest scores. The most significant strong and weekly correlations was between health responsibility and physical activity with total score of health-promoting behavior scores (r = 0.81, r = 0.66). Staff with health-related college major performed better in the areas of nutrition, stress management, spiritual growth. Conclusion: Health-related college major is the most important factor affecting health-promoting behaviors. Also, health responsibility is most related to these behaviors. Educational interventions should be done at the community level, regardless of people's field of study, to increase people's knowledge and awareness about risk factors and improve the level of health.

Ad libitum caffeine consumption, cognitive performance, and sleep in special forces soldiers during a 96-h combat exercise.

Introduction: This observational study investigated the effects of sleep deprivation and ad libitum caffeine consumption on cognitive performance, risk behavior, and mood among 28 Israeli Special Forces (SF) soldiers (mean age: 20.57 ± 0.92 years) during a 96-hour combat exercise. Methods: Actigraphy was used to monitor sleep and activity; cognitive function, risk-taking propensity, mood states, and self-reported sleepiness were assessed using the Psychomotor Vigilance Task (PVT), Evaluation of Risks Scale (EVAR), Profile of Mood States (POMS), Karolinska Sleepiness Scale (KSS); and caffeine consumption by questionnaire at 0, 50, and 96 hours. For analyses, participants were divided into Low (<400 mg) and High (≥400 mg) caffeine consumption groups. Results: The soldiers hiked 108.5 ± 0.52 km and slept for 12.7 ± 0.5 h, with a notable transition from multiple short sleep epochs in the initial 50 hours to a consolidated 5-hour sleep period subsequently. In the High caffeine group, PVT reaction time was faster (p = 0.024) compared to the Low caffeine group, with fewer premature response errors (p = 0.026). However, this group showed increased risk-taking (p = 0.037), particularly reduced Self-Control (p = 0.010). No significant impact of ad libitum caffeine intake on mood was observed. However, degradation over the course of the exercise in both groups in mood states, including anger, fatigue, tension, and vigor, was noted (p < 0.05). KSS scores increased significantly at 50 and 96 h (p < 0.001). Discussion: These results suggest that while caffeine enhances cognitive function, its ad libitum consumption did not consistently improve these measures in this cohort of SF soldiers. The study highlights the complex relationship between sleep deprivation and caffeine intake and their combined effects on soldiers' cognitive and behavioral functions, indicating a need for evidence-based caffeine use guidelines for using caffeine in military settings.

Prevalence and factors associated with low functional mobility in older adults.

Objective: To analyze the factors associated with low functional mobility in older adults residing in Alcobaça, BA. Methods: This is an epidemiological survey with a cross-sectional design, conducted in 2015 with 473 older adults (62.4% women; mean age 70.2 ± 8.2 years) from Alcobaça, BA. The interview script addressed sociodemographic characteristics, health, and behavioral aspects. Functional mobility was assessed using the Short Physical Performance Battery (≤6 points). Inferential analyses were conducted using the Mann-Whitney U test and Poisson regression (with robust variance and estimation of prevalence ratios and their respective 95.0% confidence intervals). Results: The prevalence of low functional mobility was 9.6%, with associated factors including the use of alcoholic beverages (PR = 1.7, 95% CI: 1.01-1.13) and the number of repetitions in elbow flexion (PR = 1.01, 95% CI: 1.01-1.05). Additionally, older adults with low mobility had lower height, thigh circumference, and lower performance in handgrip strength tests, elbow flexion, and flexibility. They also spent more time in sedentary behavior and less time in physical activity compared to older adults with preserved mobility (p < 0.05). Conclusion: Older adults with low mobility exhibit poorer values in anthropometric parameters, lower performance in motor tests, spend less time engaged in physical activities, and more time in sedentary behavior.

The causality between leisure sedentary behaviors, physical activity and obstructive sleep apnea: a bidirectional Mendelian randomization study.

Background: Previous observational studies have shown a correlation between leisure sedentary behaviors (LSB) and physical activity (PA) with the incidence of obstructive sleep apnea (OSA). However, the causal associations remain unknown. Therefore, our study used bidirectional two-sample Mendelian randomization (MR) to identify potential causal relationships between LSB/PA and OSA. Methods: We sourced genetic variation data for LSB and PA from the UK Biobank, while data on OSA were collected from the FinnGen study. The primary analysis method employed was the inverse variance weighted (IVW) approach, complemented by the weighted median and MR-Egger methods. For sensitivity analyses, we conducted Cochran's Q test, the MR-Egger intercept test, the MR-PRESSO global test, and the leave-one-out analysis. Results: IVW analyses showed that genetically predicted leisure television watching (odds ratio [OR] = 1.38, 95% confidence interval [CI] = 1.09-1.75, p = 0.007) and computer use (OR = 1.48, 95% CI = 1.15-1.92, p = 0.002) significantly increased the risk of OSA. Conversely, self-reported vigorous physical activity (VPA) (OR = 0.33, 95% CI = 0.11-0.98, p = 0.046) may reduce the risk of OSA. No causal effects on OSA risk were observed for driving or self-reported moderate-to-vigorous physical activity. Furthermore, the reverse MR analysis indicated no significant causal relationship between OSA and any LSB/PA phenotype. Sensitivity tests showed no significant heterogeneity or horizontal pleiotropy. Conclusion: This study suggests that leisurely television watching and computer use are risk factors for OSA, while VPA may be a protective factor. Additionally, OSA does not affect PA or LSB levels. We recommend reducing sedentary activities, particularly television watching and computer use, and prioritizing VPA to reduce the risk of OSA. Further research in diverse populations and settings is needed to validate these findings.

Disparities in Cannabis Use among Female and Male Sexual Minority Young Adults in the US: The Role of Parenting Behaviors.

Introduction: Despite cannabis use disparities among sexual minority (SM; vs. heterosexual) young adults (SMYAs), little research has explored social influences contributing to these disparities. This study examined sexual identity subgroup differences in parenting behaviors and associations among parenting behaviors and cannabis use behaviors among YA subgroups. Methods: Participants were female (N=416; 44.7% bisexual, 7.2% lesbian) and male (N=228; 11.0% bisexual, 13.2% gay) YAs (ages 18-29) recruited via social media from 6 US cities. Bivariate analyses examined differences in perceived parenting (psychological control, behavioral control, knowledge, autonomy support, warmth, communication, cannabis disapproval), any past-month (current) cannabis use, and current cannabis use frequency across sexual identity subgroups. Multivariable regression examined associations among sexual identity and parenting behaviors with cannabis use outcomes. Results: Among female YAs, bisexual (vs. heterosexual) YAs had greater odds of cannabis use, reported more frequent use, and reported greater parental psychological control and less behavioral control, autonomy support, warmth, and communication; greater psychological control was associated with both outcomes; less autonomy support was associated with current use; and less warmth and communication were associated with use frequency. Among male YAs, gay and bisexual (vs. heterosexual) YAs had greater odds of current use and reported more frequent use and greater psychological control; gay (vs. heterosexual) YAs reported greater behavioral control and less autonomy support, warmth, and communication; and greater psychological control and less warmth and communication were associated with both outcomes. Conclusions: Cannabis prevention/cessation programs should target specific parenting behaviors that differentially impact cannabis use outcomes among specific SMYA subgroups.

Simultaneous Alcohol and Cannabis Use and High-Risk Sexual Behaviors.

Background: Alcohol and cannabis use rates are highest in college-aged young adults, and both alcohol and cannabis use are independently related to high-risk sexual behaviors (HRSBs). HRSBs (e.g., sex without protection against sexually transmitted infections) are a prevalent public health problem in college students, with little research examining simultaneous alcohol and cannabis use (i.e., using both alcohol and cannabis at the same time so the effects overlap) and HRSBs. Method: We examined simultaneous alcohol and cannabis-related HRSB frequency, gender differences in simultaneous alcohol and cannabis-related HRSBs, and differences in HRSBs between simultaneous and non-simultaneous users. Alcohol and cannabis using college students (N = 534; Average Age = 19; 66.9% reported identifying as female) were recruited through a psychology department's human subjects research pool and completed a one-time, online, self-report survey. Results: One-third of participants engaged in simultaneous alcohol and cannabis use prior to sexual intercourse in the past 3 months. Additionally, over one-third of participants reported heavy drinking (4/5 or more drinks for women/men) simultaneously with cannabis use prior to sexual intercourse in the past 3 months. Simultaneous alcohol and cannabis use was significantly and positively related to sexual intercourse after simultaneous use and after heavy drinking simultaneously with cannabis use. Past year simultaneous alcohol and cannabis users, relative to non-simultaneous users, reported increased incidents of sex without protection against sexually transmitted infections. No gender differences in simultaneous alcohol and cannabis-related HRSBs were found. Conclusions: Future research should continue examining simultaneous alcohol and cannabis use and HRSBs.