Exercise health belief model mediates the relationship between physical activity and peer support among Chinese college students: A cross-sectional survey

Sociodemographic aspects, beliefs about lifestyles, and religiosity as predictors of life satisfaction in Peruvian university students: a cross-sectional study

Introduction

Beliefs and practices related to healthy lifestyles and religiosity can play an important role in overall well-being. However, few studies have explored the association between these factors and life satisfaction in the university context. This study examined the association between sociodemographic aspects, lifestyle beliefs, and religiosity with life satisfaction in university students.

Methods

A cross-sectional predictive study was conducted during the months of March and May 2024 at a private university located in the northern region of Peru. Validated instruments were distributed that included a lifestyle beliefs scale, the Santa Clara Strength of Religious Faith Questionnaire-Short Form (SCSRFQ-SF), the Satisfaction with Life Scale (SWLS) and a sociodemographic data section. A total of 1,258 students participated in the study. Multiple linear regression models were used for predictive analysis.

Results

Being a student of foreign origin, compared to being Peruvian, is negatively and significantly associated with life satisfaction (β = -0.066, p = 0.003). In contrast, a positive association is observed between belonging to the Faculty of Health Sciences (β = 0.119, p = 0.048) and life satisfaction, compared to students from other faculties. Furthermore, lifestyle beliefs (β = 0.579; p < 0.001) and religiosity (β = 0.182; p < 0.001) are positively and significantly associated with life satisfaction.

Conclusion

These findings suggest that universities and health professionals should consider promoting healthy lifestyles and supporting religious practices as important strategies to improve student life satisfaction, considering relevant sociodemographic aspects.

Perceived benefits and barriers to exercise and associated factors among Zimbabwean undergraduate students: a cross-sectional study

Background

Despite the well-documented benefits of regular physical activity (PA), many university students are physically inactive. Personal, socio-economic, and environmental factors predict PA engagement behaviours in university students. There is a need to understand context-specific perceived barriers and benefits to exercise engagement and physical activity levels amongst university students from low-income settings. This study primarily evaluated the barriers and facilitators to PA engagement in Zimbabwean undergraduate students. We also assessed the correlates of perceived barriers and benefits to PA engagement, risk of common mental disorders (CMDs) and health-related quality of life (HRQoL).

Methods

We used a cross-sectional study to recruit 465 university undergraduate students. The Exercise Benefits and Barriers Scale, International Physical Activity Questionnaire (IPAQ), Shona Symptoms Questionnaire (SSQ-8) and EuroQol 5 Dimension (EQ5D-5l) were used to measure barriers and facilitators, physical activity level, risk of depression and anxiety and HRQoL, respectively. Data were analysed through descriptive statistics and logistic regression.

Results and conclusion

Most participants were male (58.5%) with a mean age of 21.7 (SD 1.6) years. Majority of the participants were first year students (37.2%), consumed alcohol (66.5%), did not smoke (88.2%) and had a normal BMI (64.7%). The prevalence of low PA levels was 17.4%, with 33.5% of students at risk of CMDs. The most perceived benefits were in the physical performance (e.g., exercise improves my level of physical fitness) and life enhancement (e.g., exercise improves my self-concept) domains, while the most perceived barriers were lack of exercise infrastructure (e.g., exercise facilities do not have convenient schedules) and physical exertion (e.g., exercise tires me). Food insecurity (AOR 2.51: 95% CI 1.62-3.88) and the risk of CMDs (AOR 0.49: 95% CI 0.32-0.76) were associated with increased odds of experiencing barriers to exercise. Not using substances (AOR = 2.14: 95% CI 1.11-4.14) and a higher self-rated HRQoL (AOR 24.34: 95% CI 1.77-335.13) were associated with increased odds of a high perception of exercise benefits. Improving access to community and on-campus exercise facilities and campus-wide health promotional interventions is necessary to enhance PA amongst university students.

Effect of health belief model-based training and social support on the physical activity of overweight middle-aged women: a randomized controlled trial

Introduction

The highest incidence of overweight among adults is found among women, predominantly middle-aged women. While it has been demonstrated that being overweight increases mortality by compromising physical and mental health, it also imposes substantial costs on the healthcare system. Lack of physical activity is a primary contributing factor to becoming overweight. The majority of inactive adults are women, particularly middle-aged women. Consequently, this study investigated the training program for overweight women based on the health belief model (HBM) and social support approach.

Methods

A randomized, controlled trial involving 73 overweight middle-aged women (control group: 37, intervention group: 36) was conducted using simple random sampling. The intervention group participated in six 120-min sessions per week for 6 weeks of a training program based on HBM and social support through physical activity, group discussion, role play, and media. Data were collected using the Physical Activity Questionnaire (IPAQ), Bandura's Exercise Self-Efficacy Scale (Bandura's ESE), and a researcher-made questionnaire before and 4 weeks after the training. The collected data were analyzed using descriptive and inferential statistics via SPSS 27 software. p-values <0.05 were considered statistically significant.

Results

A training program based on HBM and social support led to improved perceived benefits (p < 0.001), cues to action (p = 0.03), and self-efficacy (p < 0.001) of physical activity; decreased perceived barriers (p = 0.001); increased social support (p = 0.001); and increased physical activity (p < 0.001). In addition, the BMI of the intervention group decreased after the training program (p = 0.01).

Conclusion

The findings of the study demonstrate the efficacy of the training program based on HBM and the social support approach in improving social support and physical activity of women. In addition, the study evaluates the long-term outcome in populations with varying social, economic, and cultural standings.

Clinical Trials Registration

https://clinicaltrials.gov/, (IRCT201706236261N17).

A meta-analysis of the relationship between social support and physical activity in adolescents: the mediating role of self-efficacy

Introduction

Social support influences physical activity (PA) in adolescents. However, whether mediating and moderating effects impact the relationship between them or the underlying mechanism remains unclear. This study aimed to investigate the mediating effects of self-efficacy as well as a series of moderating influences using a meta-analytic approach.

Methods

A total of 56 studies published between January 2001 and May 2023 were obtained from the Web of Science, EBSCO, Taylor and Francis, Scopus, Wiley, ProQuest, and CNKI (core) databases, comprising 65 independent samples (total sample size = 47,196).

Results and discussion

The mean weighted correlation coefficients between social, family, peer, and school support and adolescent PA were 0.298, 0.226, 0.256, and 0.142, respectively, which were significant, except for school support. Family support and teenage PA were related, although the connection was moderated by gender and socioeconomic characteristics. While social, family, and peer support had a direct influence on adolescent PA, school support did not. Self-efficacy mediated the relationship between social support and its subtypes and adolescent PA.

Influence of physical education on anxiety, depression, and self-esteem among college students

BACKGROUND

Physical education is pivotal in our country's education reform. Urban schools have notably enhanced the intensity of physical education in recent years. However, the effects of physical education on students' anxiety, depression, and self-esteem levels, as well as their interrelations, remain unexplored.

AIM

To analyze the influence of physical education on students' anxiety, depression, and self-esteem.

METHODS

This study employed a cross-sectional design. A stratified cluster sampling method was used to select 478 first-year university students. Self-administered questionnaires were used to investigate the physical education status and basic information of college students. We used the Physical Activity Rank Scale-3 (PARS-3), Self-Rating Anxiety Scale (SAS), Self-Rating Depression Scale (SDS), and Self-Esteem Scale (SES) to assess the level of exercise, anxiety, depression, and self-esteem. Multiple Logistic regression was used to analyze the factors influencing anxiety, depression, and low self-esteem. The receiver operating characteristic curve and area under the curve (AUC) were used to evaluate the predictive ability of PARS-3 scores for anxiety, depression, and low self-esteem. Spearman's correlation was used to analyze the correlations among the PARS-3, SAS, SDS, and SES.

RESULTS

Compared with the domestic norms, SAS and SDS scores were higher, and SES scores were lower (P < 0.05). Among the participants, 210 (43.93%) had PARS-3 scores below 20, 94 (19.67%) had scores of 20-42, and 174 (36.40%) had scores above 42. After adjusting for daily sleep time, gender, being an only child, major, father's educational background, mother's educational background, and family residence, PARS-3 scores were independent influencing factors for anxiety, depression, and low self-esteem (P < 0.05). The AUC of PARS-3 scores predicting anxiety, depression, and low self-esteem were 0.805 (0.760-0.849), 0.799 (0.755-0.843), and 0.831 (0.788-0.874), respectively. The sensitivities were 0.799, 0.801, and 0.748, and the specificities were 0.743, 0.716, and 0.814, respectively. PARS-3 was negatively correlated with SAS and SDS scores (r = -0.566, -0.621, both P < 0.001) and positively correlated with SES scores (r = -0.621, P < 0.001). SES scores were negatively correlated with SAS and SDS scores (r = -0.508, r = -0.518, both P < 0.001).

CONCLUSION

The amount of physical activity is negatively correlated with anxiety and depression degree and positively correlated with self-esteem degree.

Effects of personal and interpersonal factors on changes of food choices and physical activity among college students

BACKGROUND

Health behaviors developed in the college years tend to persist in adulthood. However, distinct changing patterns of food choices and physical activity (PA) and their predictors are still less clear among college students. The current study sought to explore changes of food choices and PA, as well as the effects of personal and interpersonal factors.

METHOD

Two-wave longitudinal data was collected from a sample of 431 Chinese college students (Mean baseline age = 19.15 ± 0.61 years; 45.7% male). A validated self-reported food frequency questionnaire was used to assess the frequency of food choices. The Chinese revised version of physical activity rating scale was used to assess physical activity. Latent profile analysis, latent transition analysis, and multinomial logistic regression analysis were used to analyze the data.

RESULTS

Two profiles of food choices, i.e., Avoiding staples (5.1% at Time 1) and Varied diet (94.9% at Time 1), were identified at both timepoints. 90.9% remained the same profiles over time, 63.6% participants in the Avoiding staples profile shifted to the Varied diet profile, and only 6.3% of those in the Varied diet profile shifted to the Avoiding staples profile. Negative body shape-related belief was related to the translation from the Varied diet profile to the Avoiding staples profile. Further, four profiles of PA, i.e., Inactives (51.0% at Time 1), Low activies (26.0% at Time 1), Moderate activies (15.3% at Time 1), and Activies (7.7% at Time 1), were identified at both timepoints. 50.8% remained the same profiles over time, 38.6% Inactivies shifted to the other profiles, and 48.5% Activies shifted to the other profiles over time. Participants with higher self-efficacy showed an increase in PA over time, and those with lower self-efficacy and lower peer support showed a decrease in PA over time.

CONCLUSIONS

Overall, most of college students remained the same food choices profiles, and body shape-related belief contributed to changes in food choices profiles. About half of college students experienced changes in PA, and the predictors of such changes were peer support and self-efficacy. The findings extend the understanding of the personal and interpersonal predictors of health behaviors among college students from a dynamic perspective.