Religion, Age, Education, Lifestyle, and Health: Structural Equation Modeling

Abdala, Gina Andrade; Meira, Maria Dyrce Dias; Rodrigo, Gabriel Tagliari; Fróes, Morenilza Bezerra da Conceição; Ferreira, Matheus Souza; Abdala, Sammila Andrade; Koenig, Harold G.

doi:10.1007/s10943-020-01034-3

Cited by 10 publications

(6 citation statements)

References 30 publications

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“…In a study that applied structural equation modeling carried out with 392 adults, using the Q8RN, it was found that the better the lifestyle, the better the physical and mental health outcomes of these people, mediated by religiosity. Thus, it was observed that religious practice is a protective factor for people's physical and mental health (Abdala et al, 2021).…”

Section: Discussionmentioning

confidence: 99%

Healthy lifestyle and common mental disorders (CMD) in the context of COVID-19

Abdala

Caldeira

Silva

et al. 2023

RSD

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Objective: to analyze the mediating effect of a healthy lifestyle on the mental health of participants in a Virtual Health Fair, during the COVID-19 pandemic. Methodology: Cross-sectional of 1,029 people aged 18 years and over. The Virtual Health Fair was organized as a tridimensional, and data were collected through a link on Google Forms, containing the sociodemographic data form, the Eight Natural Remedies Questionnaire (Q8RN), and the Common Mental Disorders questionnaire (SRQ-20). A Structural Equation Modeling (SEM) was performed. Results: Most participants were female (69%; n= 729), married (53.5%; n= 565), of higher education (43.2%; n= 458), and Adventist in religious affiliation (56.7%; n=597). On average, lifestyle was categorized as good by the Q8RN score (mean 56.61; SD 11.59), with a deficiency in the practice of exercise (5.87; 4.02). The Body Mass Index (BMI) was overweight on average (mean 26.02; SD 5.24). A prevalence of common mental disorders was 30.2% based on the SRQ-20 questionnaire. Conclusion: Results indicated that BMI, age, education, and religion had a strong protective effect (62%, p<0.05) for common mental disorders, mediated by healthy lifestyle. A better lifestyle, through the eight natural remedies, within the context of the COVID-19 pandemic, mediated the protective effects of lower BMI, older age, and Adventist religion on common mental disorders. The practice of healthy habits should be encouraged in promoting mental health during the current and future pandemics.

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Section: Discussionmentioning

confidence: 99%

Healthy lifestyle and common mental disorders (CMD) in the context of COVID-19

Abdala

Caldeira

Silva

et al. 2023

RSD

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“…PLS-SEM was considered appropriate for this study because it is able to explain and predict the variance in target constructs and sub-constructs, thus allowing the theory underpinning this research to be tested. It has commonly been used to describe individual behavior, including for tourist behavior, consumer behavior, physical and mental health behavior, and intention to accept the use of mobile banking apps or technology (Majeed et al, 2020) (Marmaya et al, 2019) (Abdala et al, 2020) (Kamdjoug et al, 2021). Secondly, PLS-SEM is able to analyze the results of measurement models and structural models.…”

Section: Discussionmentioning

confidence: 99%

What awareness variables are associated with motivation for changing risky behaviors to prevent recurring victims of cyberbullying?

Jattamart

Kwangsawad

2021

Heliyon

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The detrimental consequences for victims of cyberbullying is becoming a major public health problem in many countries. However, it is a possibility that such victims will experience repeated cyberbullying in future. Therefore, a sustainable, long-term solution is to train victims to prevent cyberbullying and cope effectively with future situations. This aim of this study was to further our understanding of the factors involved in both raising awareness and increasing motivation in relation to the process of changing risky social media behaviors in order to reduce future incidences of cyberbullying. The study was conducted with a group of 541 late adolescents, who studied at university level and were victims of cyberbullying, and 397 parents. Data was collected using online questionnaires, which were designed according to I-Change Model (ICM) theory, and statistically analyzed to determine the presence of a causal relationship using Structural Equation Modeling (SEM). The results of this study showed that family communication, loneliness, perceived susceptibility, and message and channel type had direct influences on victims' awareness of risky behaviors. Based on parental views, the channel had a direct influence on the awareness of victims and this, in turn, had a direct influence on motivation for enacting changes in health behavior (including both psychological and physical health). It was also found that motivation for improving psychological health has a strong influence on physical health. The study results were consistent for both victims and parents. Therefore, in future, issues that should be prioritized and acted upon include promoting cooperation between victims, parents, schools, and mental health professionals in order to train and educate victims and develop an intervention program that takes into account family and personal relationships. These actions may reduce behaviors among adolescents that put them at risk of being ongoing victims of cyberbullying.

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“…In fact, in addition to the influencing factors of depression covered in this study, other factors such as type of tea consumption (37), sleep quality (38), and spirituality/religion (39) are also included. Recent research has demonstrated that religion can be beneficial for modifying lifestyle and enhancing psychological health (40). Harvard University, 1 Duke University, 2 and Adventist Religion and Health Study 3 have carried out research work related to religion.…”

Section: Strengths and Limitationmentioning

confidence: 99%

The major risk factor for depression in the Chinese middle-aged and elderly population: A cross-sectional study

et al. 2022

Front. Psychiatry

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BackgroundThe number of patients suffering from depression is continuously increasing in China. Demographic characteristics, physical health levels, and individual lifestyles/healthy behaviors are associated with the severity of depression. However, the major risk factor for depression remains unclear.Materials and methodsIn this investigation, 16,512 patients were screened using the CHARLS (China Health and Retirement Longitudinal Study) database after being determined to be eligible based on the inclusion criteria. Depressive symptoms were evaluated through the CESD-10 (10-item Center for Epidemiological Studies Depression Scale). Consequently, various models were developed based on potential predictive factors, employing stepwise LR (Logistic Regression)/RF (Random Forests) models to examine the influence and weighting of candidate factors that affect depression.ResultsGender, residential address location, changes in health status following last interview, physical disabilities, chronic pain, childhood health status, ADL (activity of daily living), and social activity were all revealed to be independent risk factors for depression (p < 0.05) in this study. Depression has a synergic effect (across chronic pain and age groups). In comparison to other factors, RF results showed that chronic pain had a stronger impact on depression.ConclusionThis preliminary study reveals that chronic pain is a major risk factor for depression.

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Religion, Age, Education, Lifestyle, and Health: Structural Equation Modeling

Cited by 10 publications

References 30 publications

Healthy lifestyle and common mental disorders (CMD) in the context of COVID-19

Healthy lifestyle and common mental disorders (CMD) in the context of COVID-19

What awareness variables are associated with motivation for changing risky behaviors to prevent recurring victims of cyberbullying?

The major risk factor for depression in the Chinese middle-aged and elderly population: A cross-sectional study

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