Association between Weight Changes over a 4-Year Period and Health-Related Quality of Life in Middle-Aged and Older Adults in Korea: The Korean Genome and Epidemiology Study Cohort.

Background: The relationship between weight change and quality of life remains controversial. This study aimed to investigate whether changes in body weight among participants in different baseline body mass index categories are associated with physical and mental health functioning. Methods: We conducted an analysis involving 5,106 adults who participated in the Korean Genome and Epidemiology Study, a cohort comprising Korean adults aged 40 to 69 years. We categorized participants into three groups based on body weight change, and physical and mental health were assessed using the 12-Item Short-Form Health Survey in year 4. We employed logistic regression analysis to assess the association between body weight change and poor functioning at year 4. We also utilized a generalized estimating equation to determine the relationship between weight changes and mental component summary (MCS) scores over the study period for each weight group. Results: Weight gain in both the normal weight (odds ratio [OR], 1.88; 95% confidence interval [CI], 1.13-3.11; P=0.01) and overweight groups (OR, 1.75; 95% CI, 1.05-2.91; P=0.03) was associated with poor MCS. Normal weight weight-losers were associated with a greater increase (2.69 points; 95% CI, 0.50-4.88) in MCS compared to weightmaintainers. Significant differences in mean MCS were observed for overweight weight-losers, obese weight-gainers, and underweight weight-gainers when compared to weight maintainers in each respective weight group. Conclusion: Different patterns of relationships between weight change and mental health-related quality of life were observed. Hence, it is crucial to focus on the mental health of middle-aged and older adults when assessing body weight changes.

Machine learning-based identification and related features of depression in patients with diabetes mellitus based on the Korea National Health and Nutrition Examination Survey: A cross-sectional study.

Patients with diabetes mellitus (DM) are twice as likely as nondiabetic individuals to develop depression, which is a prevalent but often undiagnosed psychiatric comorbidity. Patients with DM who are depressed have poor glycemic control, worse quality of life, increased risk of diabetic complications, and higher mortality rate. The present study aimed to develop machine learning (ML) models that identify depression in patients with DM, determine the best performing model by evaluating multiple ML algorithms, and investigate features related to depression. We developed six ML models, including random forest, K-nearest neighbor, support vector machine (SVM), Adaptive Boosting, light gradient-boosting machine, and Extreme Gradient Boosting, based on the Korea National Health and Nutrition Examination Survey. The results showed that the SVM model performed well, with a cross-validated area under the receiver operating characteristic curve of 0.835 (95% confidence interval [CI] = 0.730-0.901). Thirteen features were related to depression in patients with DM. Permutation feature importance showed that the most important feature was subjective health status, followed by level of general stress awareness; stress recognition rate; average monthly income; triglyceride (mg/dL) level; activity restriction status; European quality of life (EuroQoL): usual activity and lying in a sickbed in the past 1 month; EuroQoL: pain / discomfort, self-care, and physical discomfort in the last 2 weeks; and EuroQoL: mobility and chewing problems. The current findings may offer clinicians a better understanding of the relationship between DM and depression using ML approaches and may be an initial step toward developing a more predictive model for the early detection of depressive symptoms in patients with DM.

Comparison of the Smoking Cessation of Heated Tobacco Product Users and Conventional Cigarette Smokers in Korea.

BACKGROUND: Since the introduction of heated tobacco products (HTPs) in Korea in 2017, their annual sales have increased. Several studies have investigated the perceptions of HTPs and smoking cessation behaviors. For the first time, In 2019, questions focused on HTP use were introduced in the Korea National Health and Nutrition Examination Survey (KNHNES). This study aimed to compare smoking cessation behaviors between HTP users and conventional cigarette smokers using KNHANES data. METHODS: Data of 947 current adult smokers from the 8th KNHNES (2019) were analyzed. Current smokers were divided into conventional cigarette (CC)-only, HTP-only, and dual-use groups. The general characteristics of the three groups were investigated. Differences in current intention to quit smoking and past attempts to quit smoking among the three groups were analyzed using multivariate logistic regression analysis by IBM SPSS ver. 25.0. RESULTS: HTP-only users demonstrated fewer future smoking cessation plans (adjusted odds ratio [AOR], 0.398; 95% confidence interval [CI], 0.195-0.813; P=0.012) and fewer smoking cessation attempts in the past year (AOR, 0.533; 95% CI, 0.298-0.954; P=0.034) than CC-only smokers. However, there was no significant difference between dual-use (CC+HTP) and CC-only smokers. CONCLUSION: While dual-use and CC-only smokers showed similar smoking cessation behaviors, HTP-only users had fewer previous attempts to quit smoking and were less likely to be currently ready to quit smoking. These findings can be explained by a decrease in the need to quit smoking due to the convenience of HTP and the perception that HTPs are less harmful than CC.

Understanding Social Exercise: Desire and Intention to Participate in Running Crews.

The current study investigated the determinants of the desire and intention to participate in an inner-city 'running crew' among social runners using a theoretical framework of the model of goal-directed behavior (MGB). Data were obtained from 245 social runners in Korea using an online questionnaire and primarily analyzed with the structural equation modeling technique. The results indicated that the desire to participate in a running crew was influenced most by positive anticipated emotions, followed (in descending order) by attitudes, negative anticipated emotions, social norms, perceived behavioral control, and the frequency of past behaviors. Runners' behavioral intentions were predicted by desire but not directly related to perceived behavioral control and the frequency of past behavior. Overall, the study emphasized the importance of positive anticipated emotions and behavioral desire, among others, to encourage recreational runners' participation in social running activities. Given that social runners rely on mobile apps to participate in running crew activities, the current study's results have practical implications for running crew organizers, sports-branded app developers, and health promotion agencies.

Predicting Continued Participation in Government-Initiated Public Sports Clubs: The Role of Prior Knowledge and Awareness through Health Communications.

Physical activity is the most effective preventive medicine in enhancing our physical health and subjective wellbeing. Since 2013, the South Korean government has introduced and developed the public sports club system as a way to promote exercise and the health of the general public. The current study investigated factors underlying the general public's desires and intentions to join or participate in a public sports club (PSC) using the model of goal-directed behavior (MGB). Data were collected from 254 college students who had prior experience of participating in at least one PSC and were primarily analyzed using structural equation modeling (SEM). The results suggest that, among the five MGB determinants, the positive anticipated emotions and perceived behavioral control were significantly associated with participants' desires, and, in turn, their desires were significantly related to their intention to participate in PSCs. Meanwhile, the respondents' prior experience was marginally but significantly associated with desire but not with behavioral intention. Prior knowledge (through health communications) was significantly related to attitude, desire, and behavioral intention. Overall, the findings support the use of positive anticipated emotions, perceived behavioral condition, prior knowledge, and desire as indicators of participation behavior in the PSC context, and may aid the development of health communication and interventions aimed at encouraging future participation.

Correction: Effects of physical education, extracurricular sports activities, and leisure satisfaction on adolescent aggressive behavior: A latent growth modeling approach.

[This corrects the article DOI: 10.1371/journal.pone.0174674.].

Predictors of Sports Gambling among College Students: The Role of the Theory of Planned Behavior and Problem Gambling Severity.

The current study investigated what influences college students' behavioral intention and behavior towards sports gambling using the theory of planned behavior (TPB) as a theoretical framework. The study also explored the moderation effect of problem gambling severity in the relationships between TPB determinants, behavioral intention, and sports gambling behavior. Data were collected from 334 college students from four different universities in the U.S. and analyzed through partial least squares structural equation modeling (PLS-SEM) and multi-group analysis. The results indicated that attitude was the most critical determinant of college students' sports gambling intentions, followed by the subjective norms, while both behavioral intention and perceived behavioral control were significant predictors of sports gambling behavior. The study also found some meaningful moderation effects of problem gambling severity. Subjective norms were influential on college students with greater problem gambling severity, while attitude was the strongest predictor of recreational sports gamblers. Suggestions on prevention and treatment programs regarding sports gambling and problem gambling are discussed.

Enhancing Subjective Well-Being through Physical Activity for the Elderly in Korea: A Meta-Analysis Approach.

The purpose of the current study was to meta-analytically investigate the psychological impacts of physical activity for the elderly population in Korea. The findings from 21 studies, using the comprehensive meta-analysis (CMA) program, indicated that participation in physical activity had a low, but meaningful, impact on the subjective well-being of elderly individuals. Of three exercise dose components, the duration of physical activity was the most influential, followed by the frequency and intensity of the physical activity. Of six subjective well-being measures, self-efficacy was most strongly associated with physical activity, followed by life satisfaction, leisure satisfaction, exercise satisfaction, successful aging, and happiness. Results of moderator analyses indicated that the influence of physical activity became more pronounced as the proportion of males increased. Meanwhile, of the three exercise dose components, only the relationship between the duration and subjective well-being was influenced as the percentage of participants without a spouse or partner increased. Overall, regular participation in physical activity is an effective way of promoting subjective well-being among older adults in Korea. Relevant guidelines regarding physical activity prescription and behavioral management strategies are discussed.

Effects of physical education, extracurricular sports activities, and leisure satisfaction on adolescent aggressive behavior: A latent growth modeling approach.

The present study aimed to investigate the longitudinal influence of physical education classes, extracurricular sports activities, and leisure satisfaction on aggressive behavior among South Korean adolescents. Data were drawn from the Korea Youth Panel Survey. We used latent growth curve modeling to explain the growth trajectory of adolescent aggressive behaviors and a multi-group analysis to investigate gender differences in aggressive behavior. The results indicated that adolescents' aggressive behavior significantly changed with age. There were significant gender-based differences in the level of and changes in aggressive behavior over time. Both extracurricular sports activities and leisure satisfaction had significant influences on the changes in adolescents' aggressive behavior with age, whereas physical education classes did not.

Revisiting the Leadership Scale for Sport: Examining Factor Structure Through Exploratory Structural Equation Modeling.

This study examines the factor structure of the shortened version of the Leadership Scale for Sport, through a survey of 201 collegiate swimmers at National Collegiate Athletic Association Division II and III institutions, using both exploratory structural equation modeling and confirmatory factor analysis. Both exploratory structural equation modeling and confirmatory factor analysis showed that a five-factor solution fit the data adequately. The sizes of factor loadings on target factors substantially differed between the confirmatory factor analysis and exploratory structural equation modeling solutions. In addition, the inter-correlations between factors of the Leadership Scale for Sport and the correlations with athletes' satisfaction were found to be inflated in the confirmatory factor analysis solution. Overall, the findings provide evidence of the factorial validity of the shortened Leadership Scale for Sport.

Competitive Advantage in Intercollegiate Athletics: Role of Intangible Resources.

The present research explored the dynamics of competitive advantages in intercollegiate athletics by investigating the contribution of intangible resources (i.e., athletic and academic reputations) on the generation of more tangible resources (i.e., human and financial resources), which in turn influence the athletic performance (i.e., winning record) and academic performance (i.e., graduation rates), and gender equity. The research was based entirely on archival data of 324 NCAA Division I member institutions. The results of the SEM supported the study's basic arguments that tangible resources are the sources of competitive advantages in Division I intercollegiate athletics, and that intangible resources contribute to the generation of tangible resources.

Relationship Between Sport Website Quality and Consumption Intentions: Application of a Bifactor Model.

This study investigated the cognitive structure of sport website quality constructs by comparing a bifactor model (a.k.a., a general-specific model) to a second-order model. The models are two alternative approaches for representing general constructs consisting of several highly related but distinct domains. In addition, the link between sport website quality and the revisitation and media consumption intentions was empirically tested. Data ( N = 272) were collected through an online survey, and the majority of respondents were men (66.3%) between 21 and 30 years old (63.0%). The bifactor and second-order models of sport website quality were also assessed and compared, and a simultaneous equation modeling analysis was used. The bifactor model fit the data significantly better than the second-order model, indicating that the five sub-constructs revealed both the specific dimensions of sport website quality and the holistic nature of sport website quality. Results from the simultaneous equation model indicated that sport website quality explained 70.2% of the variance in revisitation and 58.7% of intention to consume sports media.