The intervening role of mHealth apps in postpartum obesity and mental health (Preprint)

2019 ◽  
Author(s):  
Che Wan Jasimah Wan Mohamed Radzi ◽  
Hashem Salarzadeh Jenatabadi ◽  
Nadia Samsudin
Keyword(s):  
Mental Health ◽  
Structural Equation ◽  
Final Analysis ◽  
Factor Loading ◽  
Self Management ◽  
Equation Modeling ◽  
Postpartum Women ◽  
One Year ◽  
The Impact ◽  
Mhealth Apps

BACKGROUND The development of mHealth (mobile health) has changed people’s routines of improving self-management. Nonetheless, the effectiveness of the apps depends on the frequency of use. OBJECTIVE This paper introduces a new framework of fitness apps associated with obesity modeling by using structural equation modeling (SEM) and examining data of postpartum women through moderation analysis. Fitness mHealth apps are considered the moderator in the research framework. METHODS Online questionnaires were sent to Malaysian postpartum women within one year after pregnancy and 468 completed questionnaires were returned. The frequency of mHealth fitness app use was categorized into four groups: daily, weekly, rarely and never. Therefore, four models were considered for the final analysis. RESULTS According to the output, every model has a different structure in terms of significance and coefficients. The R-squared obtained for the “daily” model (0.82) is the highest, followed by the “weekly” (0.79), “rarely” (0.66) and “never use” (0.59) models. This infers that 82% of mental health variation is related to the demographics, lifestyle, healthy and unhealthy food intake and BMI of daily fitness app users. In addition, the impact of BMI on mental health in every model is significant with a negative coefficient, which implies that users with high BMI have less mental health issues. Meanwhile, the factor loading analysis indicates that the screen time (0.89) and physical activity (0.81) indicators are the two highest coefficients in the lifestyle variable. This result is subsequently equivalent to the daily and weekly fitness app users who choose to consume more healthy food and thus have a lower BMI. CONCLUSIONS This paper proves that Malaysian postpartum women who use fitness apps as part of their daily life are more disciplined and such applications have significant effects on obesity and mental health. However, for never or weekly users, the statistical analysis shows there is no proof of the effectiveness of self-management activities that affected on obesity and mental health. Therefore, the frequency of fitness app use acts as a moderator in postpartum obesity and mental health modeling.

scholarly journals Mental Health of Refugees and Migrants during the COVID-19 Pandemic: The Role of Experienced Discrimination and Daily Stressors

2021 ◽  
Vol 18 (12) ◽  
pp. 6354
Author(s):  
Eva Spiritus-Beerden ◽  
An Verelst ◽  
Ines Devlieger ◽  
Nina Langer Primdahl ◽  
Fábio Botelho Guedes ◽  
...  
Keyword(s):  
Mental Health ◽  
Structural Equation ◽  
Descriptive Analysis ◽  
Health Impact ◽  
Equation Modeling ◽  
Daily Stressors ◽  
Health Crisis ◽  
The Impact ◽  
Migrant Groups

The COVID-19 pandemic is a defining global health crisis of our time. While the impact of COVID-19, including its mental health impact, is increasingly being documented, there remain important gaps regarding the specific consequences of the pandemic on particular population groups, including refugees and migrants. This study aims to uncover the impact of the COVID-19 pandemic on the mental health of refugees and migrants worldwide, disentangling the possible role of social and daily stressors, i.e., experiences of discrimination and daily living conditions. Descriptive analysis and structural equation modeling were used to analyze the responses of N = 20,742 refugees and migrants on the self-reporting global ApartTogether survey. Survey findings indicated that the mental health of refugees and migrants during the COVID-19 pandemic was significantly impacted, particularly for certain subgroups, (i.e., insecure housing situation and residence status, older respondents, and females) who reported experiencing higher levels of increased discrimination and increases in daily life stressors. There is a need to recognize the detrimental mental health impact of the COVID-19 pandemic on particular refugee and migrant groups and to develop interventions that target their unique needs.

scholarly journals THE RELATIONSHIP BETWEEN CUSTOMER SATISFACTION AND SECURITY TOWARD TRUST AND ITS IMPACT ON REPURCHASE INTENTION (SURVEY ON CUSTOMER OF ELEVENIA ONLINE WEBSITE)

2015 ◽  
Vol 6 (2) ◽  
pp. 599
Author(s):  
Mohammad Rizan ◽  
Kemal Abu Bakar ◽  
Basrah Saidani
Keyword(s):  
Customer Satisfaction ◽  
Structural Equation ◽  
Survey Methods ◽  
Equation Modeling ◽  
Repurchase Intention ◽  
Spss Software ◽  
One Year ◽  
The Impact ◽  
The Relationship ◽  
Positive Effect

The purpose of this research are to: examine empirically the effect of customer satisfaction to trust on customer, the impact of security to trust on customer, the impact of the customer satisfaction to repurchase intention on customer, the effect of security to repurchase intention on customer, the effect of trust to repurchase intention on customer, the effect of customer satisfaction to repurchase intention through trust as intervening variable on customer, the effect of security to repurchase intention through trust as intervening variable on customer of Elevenia website online. This research used survey methods for collecting data. The object of this research is 200 respondents who had purchased in Elevenia website online for a period of one year backward. This research used SPSS software version 22 and SEM (Structural Equation Modeling) LISREL version 8.7 for data analysis. Hypothesis testing showed that: the customer satisfaction has a positive effect and significance on trust, the security has a positive effect and significance on trust, the customer satisfaction has a positive effect and significance on repurchase intention, the security has a positive effect and significance on repurchase intention, the customer satisfaction has a positive effect and significance on repurchase intention through trust as intervening variable and the security has a positive effect and significance on repurchase intention through trust as intervening variable.   Keywords: Customer Satisfaction, Security, Trust, Repurchase Intention.

scholarly journals Impact of Perceived Severity of COVID-19 (SARS-COV-2) on Mental Health of University Students of Pakistan: The Mediating Role of Muslim Religiosity

2021 ◽  
Vol 12 ◽  
Author(s):  
Muhammad Saleem ◽  
Abou Bakar ◽  
Areeha Khan Durrani ◽  
Zubair Manzoor
Keyword(s):  
Mental Health ◽  
Structural Equation ◽  
Online Survey ◽  
Equation Modeling ◽  
Cross Sectional ◽  
Perceived Severity ◽  
Mediating Role ◽  
Muslim Religiosity ◽  
The Impact

Background: Perceived severity of COVID-19 (SARS-COV-2) is known to be associated with mental health of people in general and health professionals in particular in Western societies. However, its association with the mental health of students in Pakistan, which is predominantly a Muslim society, remains unclear so far. Moreover, the role of Muslim religiosity for such an association has not yet been investigated. We aimed to examine the association and report findings on the impact of perceived severity on mental health with a sample of students from all five provinces of Pakistan.Methods: We did a cross-sectional online survey from 1,525 Pakistani students in March 2020 using standardized measurement tools. We then determined the prevalence of perceived severity among students and its impact on their mental health. The strength of associations between these variables was estimated using generalized linear models, with appropriate distribution and link functions. Structural equation modeling through SmartPLS (3.0) software was utilized to analyze the results.Findings: The perceived severity of COVID-19 is significantly associated with mental health of Pakistani students, whereas Muslim religiosity is a strong mediator between perceived severity and mental health of Pakistani students.Conclusions: Though the perceived severity of COVID-19 is associated with mental health, this relationship can be better explained by the role of Muslim religiosity. When tested individually, the perceived severity accounted for only 18% variance in mental health that increased up to 57% by the mediating role of Muslim religiosity. This difference clearly indicates the mediating role of Muslim religiosity in the association between perceived severity and mental health for Pakistani students.

scholarly journals mHealth Apps Assessment among Postpartum Women with Obesity and Depression

Healthcare ◽  
2020 ◽  
Vol 8 (2) ◽  
pp. 72
Author(s):  
Che Wan Jasimah Bt Wan Mohamed Radzi ◽  
Hashem Salarzadeh Jenatabadi ◽  
Nadia Samsudin
Keyword(s):  
Statistical Data ◽  
Research Work ◽  
The Body ◽  
Descriptive Statistics ◽  
Postpartum Women ◽  
Frequency Of Use ◽  
Increased Risk ◽  
One Year ◽  
The Impact ◽  
Mhealth Apps

Background: Pregnancy has become the main constituent for women to become overweight or obese during the postpartum phase. This could lead women to suffer from postpartum depression as well. Information technology (IT) has become more prevalent in the healthcare industry. It offers patients the opportunity to manage their health conditions via the use of several applications, one being the mHealth applications. Objective: The main purpose of this study is to experiment and understand the effects the mHealth applications (i.e., fitness and nutrition applications) have on the body mass index (BMI) and depression levels amongst postpartum women. Methods: Online questionnaires were sent to postpartum women within one year after their pregnancy, of which 819 completed questionnaires were returned. The frequency of the mHealth applications usage was categorized into daily, weekly, rarely and never streams. Therefore, the frequency of use of the mHealth applications for BMI and depression levels was analyzed based on the available statistical data. Descriptive statistics, ANOVA, and Dunnet tests were applied to analyze the experimental data. Results: Out of 819 respondents, 37.9% and 42.1% of them were overweight and obese, respectively. Almost 32.9% of the respondents were likely depressed, and 45.6% were at an increased risk. This study reports that only 23.4% and 28.6% of respondents never used the fitness and nutrition applications. The impact of the frequency of using the fitness applications on BMI and depression levels was obvious. This means that with the increased use of the fitness applications, there was also a significant effect in maintaining and decreasing the BMI and depression levels amongst Malaysians postpartum women. However, from the data of weekly and daily use of fitness applications, we found that the contribution toward the BMI and depression levels was high (p = 0.000). However, nutrition applications amongst the users were not significant within the main variables (p > 0.05). From the Dunnet test, the significance of using the fitness applications within the depression levels started from daily usage, whereas for BMI, it started from weekly usage. Conclusion: The efficiency of the fitness applications toward the BMI and depression levels has been proven in this research work. While nutrition applications did not affect the BMI and depression levels, some of the respondents were still categorized as weekly and daily users. Thus, the improvements in BMI and depression levels are associated with the types of mHealth app that had been used.

scholarly journals Structural equation modeling of mental health in gentrifying neighborhoods in Austin, Texas

Open Health ◽  
2021 ◽  
Vol 2 (1) ◽  
pp. 21-39
Author(s):  
Ayodeji Emmanuel Iyanda ◽  
Yongmei Lu
Keyword(s):  
Mental Health ◽  
Structural Equation ◽  
The United States ◽  
Life Course Perspective ◽  
City Government ◽  
Equation Modeling ◽  
Depression Symptoms ◽  
Bivariate Correlation ◽  
The Impact ◽  
The City

Abstract Having poor mental health can be life-threatening, and problems tied to it are prevalent in communities across the United States (US). The city of Austin is one of the ten cities in the US undergoing rapid urban gentrification; however, there is insufficient empirical evidence on the impact of this process on residents’ health. Consequently, this study explored the concept of weathering and life course perspective using data of 331 residents recruited from two regions endemic with gentrification to assess the health impacts of gentrification. We used a triangulation method including univariate, bivariate correlation, and multiple linear regression implemented through the structural equation model to examine the complex pathways to three health outcomes—measured stress, self-rated mental health, and depression symptoms. Bivariate Pearson’s correlation indicated a significant positive association between gentrification score and mental health symptoms and stress. However, the direct association between gentrification and depression disappeared in the causal/path model. In support of the weathering hypothesis, this study found that stress score was directly related to the adulthood depression score. Therefore, this research builds on the accumulating evidence of environmental stress and mental health in the US’s rapidly changing physical and sociocultural environment. Hence, implementing and guaranteeing social equity of resources will improve residents’ health and reduce the cost of health care spending at both the household level and the city government level.

scholarly journals Prior Sensitivity in Bayesian Structural Equation Modeling for Sparse Factor Loading Structures

2020 ◽  
Vol 80 (6) ◽  
pp. 1025-1058 ◽  
Author(s):  
Xinya Liang
Keyword(s):  
Structural Equation Modeling ◽  
Variable Selection ◽  
Structural Equation ◽  
Factor Loading ◽  
Model Fit ◽  
Equation Modeling ◽  
Model Parameters ◽  
Shrinkage Priors ◽  
Bayesian Structural Equation Modeling ◽  
The Impact

Bayesian structural equation modeling (BSEM) is a flexible tool for the exploration and estimation of sparse factor loading structures; that is, most cross-loading entries are zero and only a few important cross-loadings are nonzero. The current investigation was focused on the BSEM with small-variance normal distribution priors (BSEM-N) for both variable selection and model estimation. The prior sensitivity in BSEM-N was explored in factor analysis models with sparse loading structures through a simulation study (Study 1) and an empirical example (Study 2). Study 1 examined the prior sensitivity in BSEM-N based on the model fit, population model recovery, true and false positive rates, and parameter estimation. Seven shrinkage priors on cross-loadings and five noninformative/vague priors on other model parameters were examined. Study 2 provided a real data example to illustrate the impact of various priors on model fit and parameter selection and estimation. Results indicated that when the 95% credible intervals of shrinkage priors barely covered the population cross-loading values, it resulted in the best balance between true and false positives. If the goal is to perform variable selection, a sparse cross-loading structure is required, preferably with a minimal number of nontrivial cross-loadings and relatively high primary loading values. To improve parameter estimates, a relatively large prior variance is preferred. When cross-loadings are relatively large, BSEM-N with zero-mean priors is not recommended for the estimation of cross-loadings and factor correlations.

Mental health stigma: Impact on mental health treatment attitudes and physical health

2016 ◽  
Vol 24 (5) ◽  
pp. 586-599 ◽  
Author(s):  
Amy E Sickel ◽  
Jason D Seacat ◽  
Nina A Nabors
Keyword(s):  
Mental Health ◽  
Physical Health ◽  
Mental Health Treatment ◽  
Structural Equation ◽  
Psychological Help ◽  
Equation Modeling ◽  
Mental Health Stigma ◽  
The Impact ◽  
Seeking Psychological Help ◽  
Treatment Attitudes

The purpose of this study was to test two models of the impact of mental health stigma on both attitudes toward seeking psychological help and physical health. General self-efficacy, self-esteem, and anxiety were tested as potential mediators of these two relationships. A sample of adults ( N = 423) aged 18–72 years was surveyed using the participant pool of a large, distance learning university. Structural equation modeling results indicated that mental health stigma directly and indirectly influenced treatment attitudes and physical health. Internal self-variables mediated the relationship between mental health stigma and both study outcomes.

Toward an understanding of the relationship between LMX and performance over time: the role of trust in leader and appraisal satisfaction

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Rachel Gabel-Shemueli ◽  
Franco Alberto Riva Zaferson
Keyword(s):  
Structural Equation ◽  
Employee Performance ◽  
Equation Modeling ◽  
Content Type ◽  
And Performance ◽  
One Year ◽  
The Impact ◽  
The Relationship ◽  
Over Time ◽  
Trust In Leader

PurposeThe purpose of this two-wave longitudinal study was to examine the impact of leader–member exchange (LMX) on employee performance through trust in leader and appraisal satisfaction both cross-sectionally and after one year, and the reciprocal effect of employee performance on LMX one year later.Design/methodology/approachA full panel data design was applied and the sample consisted of 289 employees of a Peruvian insurance organization. Structural equation modeling (SEM) was used to test the research hypotheses.FindingsThe results show the relationship between LMX and performance was sequentially mediated by trust in leader and appraisal satisfaction on both occasions. Additionally, employee performance at Time 1 positively influenced LMX at Time 2.Originality/valueThis study highlights the dynamic and complex relationship between LMX and employee performance over time while identifying relevant variables that influence it.

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