A latent class analysis of acculturation and depressive symptoms among Latino immigrants: Examining the role of social support

2020 ◽  
Vol 76 ◽  
pp. 13-25
Author(s):  
Elif Bulut ◽  
Mathew D. Gayman
Death Studies ◽  
2021 ◽  
pp. 1-13
Author(s):  
Cyrille Kossigan Kokou-Kpolou ◽  
Kouami Adansikou ◽  
Sunyoung Park ◽  
Saba Hajizadeh ◽  
Steven Kator Iorfa ◽  
...  

2019 ◽  
Vol 243 ◽  
pp. 360-365 ◽  
Author(s):  
Hongguang Chen ◽  
Xiao Wang ◽  
Yueqin Huang ◽  
Guohua Li ◽  
Zhaorui Liu ◽  
...  

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Abbas Abbasi-Ghahramanloo ◽  
Mohammadkarim Bahadori ◽  
Esfandiar Azad ◽  
Nooredin Dopeykar ◽  
Parisa Mahdizadeh ◽  
...  

Abstract Introduction Mental disorders are among the most prevalent health problems of the adult population in the world. This study aimed to identify the subgroups of staff based on mental disorders and assess the independent role of metabolic syndrome (MetS) on the membership of participants in each latent class. Methods This cross-sectional study was conducted among 694 staff of a military unit in Tehran in 2017. All staff of this military unit was invited to participate in this study. The collected data included demographic characteristics, anthropometric measures, blood pressure, biochemical parameters, and mental disorders. We performed latent class analysis using a procedure for latent class analysis (PROC LCA) in SAS to identify class membership of mental disorders using Symptom Checklist-90. Results Three latent classes were identified as healthy (92.7%), mild (4.9%), and severe (2.4%) mental disorders. Having higher age significantly decreased the odds of belonging to the mild class (adjusted OR (aOR = 0.21; 95% confidence interval (CI): 0.05–0.83) compared to the healthy class. Also, obesity decreased the odds of membership in mild class (aOR = 0.10, 95% CI: 0.01–0.92) compared to healthy class. On the other hand, being female increased the odds of being in severe class (aOR = 9.76; 95% CI: 1.35–70.65) class in comparison to healthy class. Conclusion This study revealed that 7.3% of staff fell under mild and severe classes. Considering educational workshops in the workplace about mental disorders could be effective in enhancing staff’s knowledge of these disorders. Also, treatment of comorbid mental disorders may help reduce their prevalence and comorbidity.


2019 ◽  
Vol 75 (11) ◽  
pp. 2753-2765 ◽  
Author(s):  
Ji‐Wei Sun ◽  
Dan‐Feng Cao ◽  
Jia‐Huan Li ◽  
Xuan Zhang ◽  
Ying Wang ◽  
...  

2020 ◽  
Author(s):  
Qi Yuan ◽  
Peizhi Wang ◽  
Tee Hng Tan ◽  
Fiona Devi ◽  
Daniel Poremski ◽  
...  

Abstract Background and Objectives Existing studies typically explore the factor structure of coping strategies among dementia caregivers. However, this approach overlooks the fact that caregivers often use different coping strategies simultaneously. This study aims to explore the coping patterns of primary informal dementia caregivers in Singapore, examine their significant correlates, and investigate whether different patterns would affect the depressive symptoms of caregivers. Research Design and Methods Two hundred eighty-one primary informal caregivers of persons with dementia (PWD) were assessed. Coping strategies were measured by the Brief Coping Orientation to Problem Experienced inventory. A latent class analysis was performed to explore caregivers’ coping patterns, followed by logistic regressions to identify the significant correlates and the relationships between coping patterns and caregiver depression. Results The latent class analysis suggested a three-class solution that was featured by the frequency and variety of coping strategies used by caregivers—high coping (36.3%), medium coping (37.7%), and low coping (26.0%). Factors influencing the coping patterns of our sample were mainly related to caregivers’ individual resources such as personal characteristics and caregiving stressors like PWD’s problematic behaviors and caregiving burden. Compared to caregivers in the low coping group, those in the medium coping group had significantly higher risks of potential depression. Discussion and Implications The current study confirmed that there are distinct coping patterns among primary informal dementia caregivers, and caregivers with the low coping pattern had fewer depressive symptoms. Future research is needed to explore if coping patterns from our sample are generalizable to dementia caregivers elsewhere.


Author(s):  
Min Kyung Song ◽  
Ju Young Yoon ◽  
Eunjoo Kim

The purpose of this study was to investigate the trajectory of depressive symptoms in multicultural adolescents using longitudinal data, and to identify predictive factors related to depressive symptoms of multicultural adolescents using latent class analysis. We used six time-point data derived from the 2012 to 2017 Multicultural Adolescents Panel Study (MAPS). Latent growth curve modeling was used to assess the overall features of depressive symptom trajectories in multicultural adolescents, and latent class growth modeling was used to determine the number and shape of trajectories. We applied multinomial logistic regression analysis to each class to explore predictive factors. We found that the overall slope of depressive symptoms in multicultural adolescents increased. Latent class analysis demonstrated three classes: (1) high-increasing class (i.e., high intercept, significantly increasing slope), (2) moderate-increasing class (i.e., moderate intercept, significantly increasing slope), and (3) low-stable class (i.e., low intercept, no significant slope). In particular, we found that the difference in the initial intercept of depressive symptoms determined the subsequent trajectory. There is a need for early screening for depressive symptoms in multicultural adolescents and preparing individual mental health care plans.


2006 ◽  
Vol 68 (5) ◽  
pp. 662-668 ◽  
Author(s):  
Kirsten I. Kaptein ◽  
Peter de Jonge ◽  
Rob H. S. van den Brink ◽  
Jakob Korf

2017 ◽  
Vol Volume 10 ◽  
pp. 1733-1740 ◽  
Author(s):  
Andrea Burri ◽  
Peter Hilpert ◽  
Peter McNair ◽  
Frances Williams

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