scholarly journals A latent profile analysis of Pacific health values

2021 ◽  
Vol 21 (8) ◽  
pp. 531-544
Author(s):  
Sarah Ann Kapeli

Introduction: Pacific health models that centre Pacific values, can serve as a tool to address Pacific disparities in healthcare. In this study, we broadly draw upon the health concepts of these models to determine how Pacific values are translate across Pacific health and wellbeing. Methods: Using data from the New Zealand Attitudes and Values Study, we identified proxy indicators of common Pacific values. With these proxy indicators we developed a LP Latent Profile Analysis A to uncover subgroups of Pacific peoples based on their orientation towards each proxy indicator and their association with psychological distress. Findings: We identified four subgroups of Pacific peoples: (1) 65% of Pacific peoples identified strongly with Pacific values with low associated psychological distress (2) 18% of Pacific peoples identified moderately with Pacific values with medium associated psychological distress (3) 5% of Pacific peoples identified less with Pacific values with low associated psychological distress (4) 12% of Pacific peoples identified ambivalent with Pacific values with high associated psychological distress. Conclusions: These results suggest that Pacific values and the utility of Pacific health models are an appropriate way of framing health and wellbeing for a vast majority of our Pacific population. However, we also need to recognise the incredible diversity among our Pacific community and be understanding and accommodating of the diverse ways that Pacific peoples can express what they consider valuable.

2020 ◽  
Vol 5 (3) ◽  
pp. 231-236
Author(s):  
Shelley E Condon ◽  
Scott C Roesch ◽  
Philip J Clements ◽  
Daniel E Furst ◽  
Michael H Weisman ◽  
...  

Background: Systemic sclerosis has negative implications for quality of life, and coping is a mechanism by which individuals can adapt more successfully to illness. This study (1) identified coping profiles in patients with systemic sclerosis and (2) examined distress and disability correlates of the profiles. Methods: A sample of 93 patients with confirmed diagnoses of systemic sclerosis received clinical examinations and reported on coping, psychological distress, and health-related disability. Latent profile analysis was used to identify coping-based profile groups. The profile groups were then compared on psychological distress and health-related disability, controlling for disease severity. Results: A two-profile solution was supported: Active Copers emphasized problem-focused, social support, counting blessings, and religious approaches to coping with systemic sclerosis. Passive Copers emphasized blaming self and others, avoidance, and wishful thinking approaches to coping. Active Copers reported significantly less psychological distress than Passive Copers, but no significant differences were found for health-related disability. Discussion: The findings identify multidimensional patterns of coping that are differentially related to psychological distress in systemic sclerosis patients. These findings can inform coping-based interventions for patients with systemic sclerosis.


2018 ◽  
Vol 21 (4) ◽  
pp. 931-954 ◽  
Author(s):  
Anne Mäkikangas ◽  
Asko Tolvanen ◽  
Kaisa Aunola ◽  
Taru Feldt ◽  
Saija Mauno ◽  
...  

Latent profile analysis (LPA) is a person-centered method commonly used in organizational research to identify homogeneous subpopulations of employees within a heterogeneous population. However, in the case of nested data structures, such as employees nested in work departments, multilevel techniques are needed. Multilevel LPA (MLPA) enables adequate modeling of subpopulations in hierarchical data sets. MLPA enables investigation of variability in the proportions of Level 1 profiles across Level 2 units, and of Level 2 latent classes based on the proportions of Level 1 latent profiles and Level 1 ratings, and the extent to which covariates drawn from the different hierarchical levels of the data affect the probability of a membership of a particular profile. We demonstrate the use of MLPA by investigating job characteristics profiles based on the job-demand-control-support (JDCS) model using data from 1,958 university employees clustered in 78 work departments. The implications of the results for organizational research are discussed, together with several issues related to the potential of MLPA for wider application.


2020 ◽  
Vol 277 ◽  
pp. 75-84 ◽  
Author(s):  
Rodrigo S. Fernández ◽  
Lucia Crivelli ◽  
Nahuel Magrath Guimet ◽  
Ricardo F. Allegri ◽  
Maria E. Pedreira

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