More than health: quality of life trajectories among older adults—findings from The Irish Longitudinal Study of Ageing (TILDA)

2018 ◽  
Vol 28 (2) ◽  
pp. 429-439 ◽  
Author(s):  
M. Ward ◽  
C. A. McGarrigle ◽  
R. A. Kenny
2006 ◽  
Vol 26 (4) ◽  
pp. 137-144 ◽  
Author(s):  
Jessica Swoboda ◽  
H. Asuman Kiyak ◽  
Rigmor E. Persson ◽  
G. Rutger Persson ◽  
David K. Yamaguchi ◽  
...  

2016 ◽  
Vol 39 (9) ◽  
pp. 991-1012 ◽  
Author(s):  
Hyun-Jun Kim ◽  
Karen I. Fredriksen-Goldsen

We assessed factors contributing to ethnic and racial disparities in mental health quality of life (MHQOL) among lesbian, gay, and bisexual (LGB) midlife and older adults. We utilized cross-sectional survey data from a sample of non-Hispanic White and Hispanic LGB adults aged 50 and older. Structural equation modeling was used to test the indirect effect of ethnicity/race on MHQOL via explanatory factors including social connectedness, lifetime discrimination, socioeconomic status (SES), and perceived stress. Hispanics reported significantly lower levels of MHQOL, compared to non-Hispanic Whites. In the final model, the association between ethnicity/race and MHQOL was explained by higher levels of perceived stress related to lower SES, higher frequency of lifetime discrimination, and lack of social connectedness among Hispanic LGB adults. This study suggests that perceived stress related to social disadvantage and marginalization plays an important role in MHQOL disparities among Hispanic LGB midlife and older adults.


PLoS ONE ◽  
2021 ◽  
Vol 16 (2) ◽  
pp. e0246887
Author(s):  
Sangmi Park ◽  
Hae Jong Lee ◽  
Byoung-Jin Jeon ◽  
Eun-Young Yoo ◽  
Jong-Bae Kim ◽  
...  

Occupational balance is an important variable associated with health and quality of life. This study aimed to investigate the influence of occupational balance on health, quality of life, and other health-related variables using structural equation modeling. We analyzed data from 208 adults over 55 years old. Mean age of the participants was 70.21 years (SD 7.22). The research model for analysis was based on the results of previous studies addressing occupational balance and related variables such as stress, leisure satisfaction, life satisfaction, subjective health, quality of life, and participation. General fit indices of the final model were acceptable (x2/df = 1.708, p < .001, RMSEA = .058, TLI = .923, CFI = .929, and SRMR = .067). Although the size of effect was small to medium (.157–.249), occupational balance was identified as an independent variable directly or indirectly affecting subjective health, quality of life, and health-related variables in the final model. Our results showed that it is possible to improve subjective health and quality of life by promoting better occupational balance. Further studies developing an intervention program based on occupational balance are required to confirm the feasibility of the intervention and its effect on older adults’ health and quality of life in real-life circumstances.


CRANIO® ◽  
2021 ◽  
pp. 1-11
Author(s):  
Ana Izabela Sobral De Oliveira-Souza ◽  
Laís Ribeiro Do Valle Sales ◽  
Alexandra Daniele De Fontes Coutinho ◽  
Susan Armijo Olivo ◽  
Daniella Araújo de Oliveira

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