Dataset Information

Factors influencing weight management behavior among college students: An application of the Health Belief Model.

ABSTRACT: BACKGROUND:Overweight and obesity have become a significant public health concern in both developing and developed countries. Due to the health implications of weight-reduction behaviors, it is important to explore the factors that predict their occurrence. Therefore, the present study was performed to examine factors affecting the behavioral intention of weight management as well as assess the predictive power of the Health Belief Model (HBM) for body mass index (BMI). METHODS:This cross-sectional study was conducted among 336 female students recruited from dormitories of Tabriz University of Medical Sciences, using quota sampling technique. Data were collected by a structured questionnaire in seven parts (including perceived severity, perceived susceptibility, perceived benefit, perceived barrier, cue to action, self-efficacy in dieting and physical activity, and behavioral intention of weight management), based on the HBM. Structural equation modeling (SEM) was conducted to identify the relationship between HBM constructs and behavioral intention of weight management. Linear regression model was performed to test the ability of the HBM to predict students' BMIs. RESULTS:Higher level of perceived threats (sum of perceived susceptibility and severity) (? = 0.41, P<0.001), perceived benefits (? = 0.19, P = 0.009), self-efficacy in exercise (? = 0.17, P = 0.001), and self-efficacy in dieting (? = 0.16, P = 0.025) scales was significantly related to greater behavioral intention of weight management. Moreover, perceived threat mediated the relationships between perceived cue to action, perceived benefits, self-efficacy in exercise, and weight management practices. The fit indices of the SEM model seemed acceptable. The final regression model explained approximately 40% of variance in BMI (P<0.001). Additionally, perceived severity, barrier, and self-efficacy in dietary life were the significant variables to predict students' BMIs. CONCLUSIONS:These findings suggest that health education programs based on the HBM needs to be integrated in preventive health programs and health interventions strategies to ensure adherence and well-being of the participants.

SUBMITTER: Saghafi-Asl M

PROVIDER: S-EPMC7006943 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Factors influencing weight management behavior among college students: An application of the Health Belief Model.

Saghafi-Asl Maryam M Aliasgharzadeh Soghra S Asghari-Jafarabadi Mohammad M

PloS one 20200207 2

<h4>Background</h4>Overweight and obesity have become a significant public health concern in both developing and developed countries. Due to the health implications of weight-reduction behaviors, it is important to explore the factors that predict their occurrence. Therefore, the present study was performed to examine factors affecting the behavioral intention of weight management as well as assess the predictive power of the Health Belief Model (HBM) for body mass index (BMI).<h4>Methods</h4>Th ...[more]

PMID: 32032376

Similar Datasets

Project description:BackgroundSleep quality is related to physical and mental health. Though bedtime procrastination has been identified as a potentially key source of poor sleep quality, related research is scarce. The goal of our study was to determine bedtime procrastination among nursing students and identify its influencing factors.MethodsThis cross-sectional study comprised 1827 junior college nursing students. The data were collected from November to December 2021 using a mobile app-based survey. We evaluated demographic factors, Big Five personality traits, self-regulatory fatigue, future time perspective, and problematic mobile phone use. Multiple linear regression analysis was used to identify independent characteristics that influence bedtime procrastination among junior college nursing students.ResultsThe mean bedtime procrastination score in junior college nursing students was 25.11 ± 6.88. Family monthly income of 3000-6000 RMB (β = 0.740; p = 0.015), as well as that of > 6000 RMB (β = 1.708; p = 0.001), and an extroverted personality (β = 0.225; p = 0.001), self-regulatory fatigue (β = 0.135; p < 0.001), and problematic mobile phone use (β = 0.078; p < 0.001) had significant positive effects on bedtime procrastination. Conscientious personality (β = - 0.284; p = 0.003), neurotic personality (β = - 0.203; p = 0.031), and future time perspective (β = - 0.141; p < 0.001) had significant negative effects on bedtime procrastination.ConclusionThe nursing students who participated in this study had moderate levels of bedtime procrastination. Bedtime procrastination was predicted by higher monthly household income; personality traits of extroversion, conscientiousness, and neuroticism; self-regulatory fatigue; future time perspective; and problematic mobile phone use.Practical implicationsWe recommend that effective measures are needed to help alleviate bedtime procrastination and improve the health and well-being of nursing students.

Project description:BackgroundVaccination is an important preventive measure against the coronavirus disease 19 (COVID-19) pandemic. We aimed to examine the willingness to vaccination and influencing factors among college students in China.MethodsFrom March 18 to April 26, 2021, we conducted a cross-sectional online survey among college students from 30 universities in Wuhan, Hubei Province, China. The survey was composed of the sociodemographic information, psychological status, experience during pandemic, the willingness of vaccination and related information. Students' attitudes towards vaccination were classified as 'vaccine acceptance', 'vaccine hesitancy', and 'vaccine resistance'. Multinomial logistic regression analyses were performed to identify the influencing factors associated with vaccine hesitancy and resistance.ResultsAmong 23,143 students who completed the survey, a total of 22,660 participants were included in the final analysis with an effective rate of 97.9% after excluding invalid questionnaires. A total of 60.6% of participants would be willing to receive COVID-19 vaccine, 33.4% were hesitant to vaccination, and 6.0% were resistant to vaccination. Social media platforms and government agencies were the main sources of information vaccination. Worry about the efficacy and adverse effects of vaccine were the top two common reason of vaccine hesitancy and resistance. Multiple multinomial logistic regression analysis identified that participants who worried about the adverse effects of vaccination were more likely to be vaccine hesitancy (aOR = 2.44, 95% CI = 2.30, 2.58) and resistance (aOR = 2.71, 95% CI = 2.40, 3.05).ConclusionMore than half of college students are willing to receive the COVID-19 vaccine, whereas nearly one-third college students are still hesitant or resistant. It is crucial to provide sufficient and scientific information on the efficacy and safety of vaccine through social media and government agencies platforms to promote vaccine progress against COVID-19 and control the pandemic in China.

Project description:Health literacy (HL) has become an important public health issue and is receiving growing attention. However, the HL levels of military college students in China have never been analyzed. This study aimed to investigate the HL and related associate factors in military college students in Chongqing, China. Data was obtained with the "Chinese Citizen Health Literacy Questionnaire (2012 edition)" from 3183 military college students aged 16-28 years at Chongqing in December 2015. A total score of ?80 points determined adequate HL, and HL level was defined as the proportion of students who had adequate HL out of the total number of participants. Multiple logistic regression analysis with a stepwise forward likelihood ratio (LR) method was used to determine the effects of sociodemographic characteristics, health-related behaviors, and family-related factors on HL level. The mean score of HL was 68.56, and the HL level of military college students was 21.05%; the overall knowledge rate was 71.33%. The independent factors that were associated with HL level were years in college, educational system, time playing online games, annual household income and father's education level. Senior (odds ratio [OR] = 1.229, 95% confidence interval [CI] 1.018?1.484), undergraduate (OR = 1.509, 95% CI 1.151?1.978), time played games more than 5 hours each week (OR = 0.638, 95% CI 0.486?0.837), annual household incomes more than 50,000 yuan (OR = 1.231, 95% CI 1.027?1.476) and father's education level (high school: OR = 2.327, 95% CI 1.186?4.565; university: OR = 2.450, 95% CI 1.244?4.825), were independently associated with higher HL level. HL levels of military college students in Chongqing need to be improved across the board. Our data suggests that special emphasis should be placed on students in junior and those in the specialist educational system. School departments may also benefit from incorporating health literacy into their curricula and helping students manage the time they spend playing online games.

Project description:AimThe objective of this study was to evaluate the Chinese version of the Smartphone Distraction Scale (C-SDS), which is an easy-to-use tool for screening the risk of smartphone distraction in Chinese college students.MethodsThe C-SDS, Smartphone Addiction Scale - Short Version (SAS-SV), Fear of Missing Out scale (FoMO) and Metacognition about Smartphone Use Questionnaire (MSUQ) were used in a sample of 1,002 Chinese college students to test smartphone distraction and its influencing factors. Exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) were performed to test measurement properties and factor structures of the C-SDS. Multi-variable linear regressions examined the relationships of sex, age, education level, the purpose of using a smartphone, usage of smartphone (hours per day), fear of missing out, smartphone addiction and positive and negative metacognitions about smartphone use with the C-SDS.ResultsThe EFA showed a 3-factor structure, which consisted of attention impulsiveness, multitasking and emotion regulation. The CFA showed that the 3-factor demonstrated an overall better model fit (RMSEA = 0.07, SRMR = 0.05, CFI = 0.94, TLI = 0.93). The C-SDS showed internal consistency (Cronbach's α = 0.88, McDonald's Omega ω = 0.88). Findings included that negative metacognition about smartphone use was most correlated with the C-SDS (b = 0.73; p < 0.001). Smartphone addiction, positive metacognition about smartphone use and fear of missing out also correlated with the C-SDS (b = 0.66, p < 0.001; b = 0.53, p < 0.001; b = 0.40, p < 0.001, respectively). The study shows that males compared to females (b = -1.65; p = 0.003), had a higher C-SDS score.ConclusionThe C-SDS was valid and reliable for assessing the distraction of using smartphones in the Chinese context. Being female, the purpose of using a smartphone, smartphone usage (hours per day), fear of missing out, smartphone addiction and positive and negative metacognitions about smartphone use were positively correlated to the C-SDS.

Project description:At present, with the continuous rise in public consumption level, the pressure on college students' entrepreneurship or employment is increasingly severe. Under the concept of positive psychological intervention, the present work aims to alleviate the entrepreneurial pressure of college students and improve college students' entrepreneurial education through the analysis of enterprise management elements. A 3-month intervention experiment, including the pre-test, preventive curriculum intervention, post-test, and delayed test, is conducted on a control group and an experimental group, to investigate entrepreneurial intention, emotional management ability, and ability to deal with entrepreneurial pressure of college students. In addition, based on a complex adaptive system (CAS), the enterprise management elements are analyzed, and a three-layer network model is constructed. Meanwhile, new diversified elements of enterprise management are defined to discuss the effectiveness and psychological impact of diversified management, proving that psychological security plays an intermediary role in the cross-layer relationship chain in the three-layer CAS network. The experimental results indicate that on the whole, the positive psychological intervention reduces the pressure of students in the experimental group, significantly ameliorates depression and anxiety, and promotes the positive personality in all directions. Besides, in the delayed test after 3 months, the experimental group can maintain a relatively better state than the control group. By exploring the role effectiveness and characteristics of diversified management, this experiment confirms that the improvement of psychological security under positive psychological intervention has a positive impact on the effectiveness of diversified management. The present work discusses the hierarchical construction in enterprise management and puts forward reasonable suggestions and theoretical development for the influence of the entrepreneurial practice of college students.

Dataset Information

Factors influencing weight management behavior among college students: An application of the Health Belief Model.

Publications

Factors influencing weight management behavior among college students: An application of the Health Belief Model.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets