scholarly journals Cyberbullying, metacognition, and quality of life: preliminary findings from the Longitudinal Adolescent Brain Study (LABS)

2021 ◽  
Vol 2 (1) ◽  
Author(s):  
Larisa T. McLoughlin ◽  
Gabrielle Simcock ◽  
Paul Schwenn ◽  
Denise Beaudequin ◽  
Christina Driver ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Structural Equation ◽  
Poor Mental Health ◽  
Equation Modeling ◽  
Obsessive Compulsive ◽  
Metacognitive Beliefs ◽  
Peer Victimisation ◽  
Brain Study ◽  
Over Time

AbstractCyberbullying contributes to poor mental health outcomes and quality of life (QoL), and peer victimisation has been shown to be positively associated with both positive and negative metacognition. Whilst metacognitive beliefs are associated with pathological worry, obsessive–compulsive symptoms, and rumination in depression, research is yet to examine whether metacognitive beliefs influence negative outcomes, such as reduced QoL, associated with experiences of cyberbullying. This study examines whether cybervictimisation, cyberbullying and metacognition play predictive roles in QoL, and if metacognition mediates any association between cybervictimisation, cyberbullying and QoL over time. Participants in the Longitudinal Adolescent Brain Study (LABS), aged 12 years and in grade 7, who had completed up to four assessment time-points (T) were included in this analysis: T1: N = 65; T2: N = 61; T3: N = 56; T4: N = 44. Structural equation modeling revealed significant associations between cyberbullying, cybervictimisation, metacognitive beliefs, and QoL. However, mediation analysis showed that only cognitive confidence acted as a partial mediator between cybervictimisation and QoL. The results suggest those who were more frequently cybervictimised had reduced confidence in their memory, which resulted in lower QoL. In addition, uncontrollability/danger and superstition, punishment, and responsibility were all negatively associated with QoL, indicating that as these metacognitive beliefs increased, QoL decreased. Our findings highlight the detrimental impact that cybervictimisation experiences can have on QoL in young people over time, and that some forms of metacognitive beliefs can also impact QoL. These findings can inform educators and health professionals on the importance of metacognition in regard to QoL over time, particularly in those who experience cybervictimisation.

scholarly journals Cyberchondria severity and quality of life among Lebanese adults: the mediating role of fear of COVID-19, depression, anxiety, stress and obsessive–compulsive behavior—a structural equation model approach

2021 ◽  
Vol 9 (1) ◽  
Author(s):  
Clara Rahme ◽  
Marwan Akel ◽  
Sahar Obeid ◽  
Souheil Hallit
Keyword(s):  
Quality Of Life ◽  
Structural Equation ◽  
Equation Model ◽  
Mediating Effect ◽  
Equation Modeling ◽  
Obsessive Compulsive ◽  
Online Questionnaire ◽  
Cross Sectional ◽  
Compulsive Disorder

Abstract Background This study highlights the significant association between cyberchondria and quality of life among the Lebanese population in the time of COVID-19. The aim was to assess the association between cyberchondria and quality of life (QOL) of Lebanese community during the COVID-19 pandemic and assess the mediating effect of fear of COVID-19, depression, anxiety, stress and Yale-Brown Obsessive–Compulsive Scale in this association. Methods This cross-sectional study was carried out between December 2020 and January 2021, during the COVID-19 pandemic. A total of 449 persons participated in this study by filling the online questionnaire. Structural equation modeling (SEM) was performed to examine the structural relationship between cyberchondria severity, the mediator (anxiety, stress, depression, obsessive–compulsive disorder (OCD) and fear of COVID-19) and physical/mental QOL. Results Having a university level of education and older age were significantly associated with higher physical QOL scores, whereas higher obsession-compulsion disorder, higher stress and higher anxiety were significantly associated with lower physical QOL scores. Higher anxiety was significantly associated with lower mental QOL scores. The results of the SEM showed that stress, fear of COVID-19 and to a lesser limit OCD, mediated the association between cyberchondria severity and physical QOL, whereas anxiety, stress and fear of COVID-19 mediated the association between cyberchondria severity and mental QOL. Conclusion This research reported interesting results encouraging more exploration of cyberchondria and its association with quality of life during this unique period of the pandemic. However, this virus has altered the lives of individuals all across the world, and the consequences will last for a long time. Along with all of the steps done to stop the development of COVID-19 and improve physical outcomes, mental health requires immediate care. More research is needed to determine the coping techniques people are employing to deal with the pandemic.

Measurement of quality of life in women with breast cancer before and after adjuvant chemotherapy: A structural equation modelling

2009 ◽  
Vol 27 (15_suppl) ◽  
pp. e11513-e11513
Author(s):  
J. B. Choudhury ◽  
G. Beadle ◽  
K. Mengersen
Keyword(s):  
Breast Cancer ◽  
Quality Of Life ◽  
Cancer Patients ◽  
Structural Equation ◽  
Self Esteem ◽  
Equation Modeling ◽  
Breast Cancer Patients ◽  
Changes Over Time ◽  
Over Time

e11513 Background: This study examines breast cancer patients’ individual changes in health related quality of life (HRQOL) measures over time and the relationships between these measures within the framework of Structural equation modeling (SEM). Methods: One hundred and fifty five Australian women with breast cancer were asked to complete the Functional Assessment of Cancer Therapy Breast, Version 4 (FACT-B) pre- and post-chemotherapy as measures of HRQOL. In SEM, growth curve modelling was required for the estimation of individual differences in developmental changes of HRQOL scales over time. A growth mixture model was also used for identifying the cross-group differences in the pattern of changes in a given population over time. Results: Reliability and validity of the FACT-G including the fatigue subscale and breast cancer subscale for evaluating Australian breast cancer patients was determined to be sufficient for research purposes. After adjustment for covariates, two subgroups of women were identified with respect of patterns of response, representing largely increasing and decreasing trends in HRQOL respectively. In the former group, on average 85% of breast cancer women reported changes over time with respect to individual HRQOL measures and 78% reported such changes with respect to combined HRQOL Scores. A small group of women reported changes with respect to HRQOL measures in the decreasing group. The greatest contribution to variation in HRQOL measures was in the breast cancer subscale for both individual and combined scores. Subsequent factor analysis of the breast cancer subscale revealed that with one exception, all items loaded onto three separate factors described as self-esteem, physical and psychological. The latter two improved over time, but self- esteem was largely unchanged. Conclusions: The study presents a technique that allows us to identify potential subgroups of study subjects that experience different trajectories of responses. The results of this study provide greater insight into HRQOL changes over time and can help to plan interventions in a better way, ultimately contributing to improvement in HRQOL of women with breast cancer. No significant financial relationships to disclose.

The Impact of Self-Stigma, Role Strain, and Diabetes Distress on Quality of Life and Glycemic Control in Women With Diabetes: A 6-Month Prospective Study

2021 ◽  
pp. 109980042110096
Author(s):  
Ruey-Hsia Wang ◽  
Chia-Chin Lin ◽  
Shi-Yu Chen ◽  
Hui-Chun Hsu ◽  
Chiu-Ling Huang
Keyword(s):  
Quality Of Life ◽  
Glycemic Control ◽  
Prospective Study ◽  
Structural Equation ◽  
Role Strain ◽  
Diabetes Distress ◽  
Equation Modeling ◽  
Disease Characteristics ◽  
The Impact

Purposes: Women with diabetes (WD) are more severely impacted by the consequence of suboptimal diabetes control. This study aims to examine the impact of demographic and disease characteristics, baseline self-stigma, role strain, diabetes distress on Hemoglobin A1C (A1C) levels, quality of life (D-QoL) and 6-month A1C levels in younger WD. Methods: This study was a 6-month prospective study. In total, 193 WD aged 20–64 years were selected by convenience sampling from three outpatient clinics in Taiwan. Demographic and disease characteristics, self-stigma, role strain, diabetes distress, A1C levels, and D-QoL were collected at baseline. A1C levels were further collected 6 months later. Structural equation modeling was conducted to test the hypothesized model. Results: The final model supported that higher baseline D-QoL directly associated with lower concurrent A1C levels and indirectly associated with lower 6-month A1C levels through baseline A1C levels. Higher baseline self-stigma, role strain, and diabetes distress directly associated with lower baseline D-QoL, and indirectly associated with higher 6-month A1C levels through D-QoL. Conclusion: Improving self-stigma, role strain, and diabetes distress should be considered as promising strategies to improve D-QoL in young WD. D-QoL plays a mediation role between baseline self-stigma, role strain, diabetes distress and subsequent glycemic control in younger WD. Enhancing baseline D-QoL is fundamental to improve subsequent glycemic control.

scholarly journals Multiple Linear Regression-Structural Equation Modeling Based Development of the Integrated Model of Perceived Neighborhood Environment and Quality of Life of Community-Dwelling Older Adults: A Cross-Sectional Study in Nanjing, China

2019 ◽  
Vol 16 (24) ◽  
pp. 4933 ◽  
Author(s):  
Fan Zhang ◽  
Dezhi Li
Keyword(s):  
Quality Of Life ◽  
Older Adults ◽  
Structural Equation ◽  
Daily Life ◽  
Community Dwelling ◽  
Neighborhood Environment ◽  
Equation Modeling ◽  
Community Dwelling Older Adults ◽  
Perceived Neighborhood Environment

Due to the poor functioning in daily living activities, community-dwelling older adults spend more time in their neighborhood environment. The perceived neighborhood environment is crucial to their quality of life (QoL). To explore the complex influences of perceived neighborhood environment on QoL, a questionnaire was designed to measure their perception of each factor of neighborhood environment and each domain of QoL. Based on collected data, the reliability test was applied to revise the questionnaire. Multiple linear regression (MLR) and structural equation modeling (SEM) were adopted to hypothesize and test the integrated model for community-dwelling older adults. The results show that community-dwelling older adults’ perceptions of neighbor support, facilities related to physical exercise and recreation, and accessibility to facilities impact their overall QoL with diverse coefficients of 0.437, 0.312, and 0.295, respectively; neighbor support (0.207) on physical health; sidewalk condition (0.134), natural environment (0.260), and facilities related to daily life (0.165) on psychological health; and neighbor support (0.298), facilities related to daily life (0.206), and design-related safety (0.225) on social relationship. This revealed that perceptions of neighborhood environment have diverse impacts on their QoL. This study can provide targeted retrofit strategies for communities to enhance QoL of community-dwelling older adults efficiently.

scholarly journals Diabetes in women and health-related quality of life in the whole family: a structural equation modeling

2019 ◽  
Vol 17 (1) ◽  
Author(s):  
Mina Moeineslam ◽  
Parisa Amiri ◽  
Mehrdad Karimi ◽  
Sara Jalali-Farahani ◽  
Niloofar Shiva ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Structural Equation ◽  
Diabetes Type 2 ◽  
Equation Modeling ◽  
Health Related Quality ◽  
Related Quality ◽  
Health Related ◽  
Mental Hrqol

Abstract Background Although several studies indicate the effects of diabetes type 2 on health-related quality of life (HRQoL) in female subjects, the related impact of the disease on HRQoL in their family members has rarely been the focus of the empirical research. In this study we aim to investigate associations between diabetes in women and the HRQoL in these women and their family members, using the structural equation modeling (SEM). Methods This family-based study was conducted on 794 women (11.1% with diabetes) as well as their spouses and children who participated in the Tehran Lipid and Glucose Study (TLGS) from 2014 to 2016. Data on HRQoL were collected using the Iranian version of the Short-Form 12-Item Health Survey version 2 (SF-12v2) and the Pediatric Quality of Life Inventory version™ 4.0 (PedsQL). SEM was conducted to evaluate the network of associations among studied variables. Data were analyzed using IBM SPSS Statistics & AMOS version 23 software. Results Mean age of women was 41.37 ± 5.32 years. Diabetes in women significantly affected their mental HRQoL (β = − 0.11, P < 0.01) but showed no significant direct associations with physical and mental HRQoL in their spouses or their children. However, poor mental HRQoL in women with diabetes was associated with decrease in both physical (β = − 0.02, P = 0.013) and mental (β = − 0.03, P < 0.01) HRQoL in their spouses and total HRQoL score in children (β = − 0.02, P < 0.01). Conclusions Among women with diabetes type 2, beyond its effect on their mental HRQoL per se, demonstrated a negative association with the self-assessment of health status in their spouses and children. Such familial consequences are mainly attributed to the negative effect of the disease on the mental rather than the physical HRQoL in women with diabetes.

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