scholarly journals Is retirement good or bad for mental and physical health functioning? Whitehall II longitudinal study of civil servants

2003 ◽  
Vol 57 (1) ◽  
pp. 46-49 ◽  
Author(s):  
G Mein
2013 ◽  
Vol 26 (1) ◽  
pp. 45-55 ◽  
Author(s):  
Yuval Neria ◽  
Priya Wickramaratne ◽  
Mark Olfson ◽  
Marc J. Gameroff ◽  
Daniel J. Pilowsky ◽  
...  

2012 ◽  
Author(s):  
Yuval Neria ◽  
Priya Wickramaratne ◽  
Mark Olfson ◽  
Marc Gameroff ◽  
Daniel Pilowsky ◽  
...  

2008 ◽  
Vol 43 (3) ◽  
pp. 260-267 ◽  
Author(s):  
Gregory A. Aarons ◽  
Amy R. Monn ◽  
Laurel K. Leslie ◽  
Ann F. Garland ◽  
Lindsay Lugo ◽  
...  

BMJ Open ◽  
2021 ◽  
Vol 11 (5) ◽  
pp. e050818
Author(s):  
Rosario Castillo-Mayén ◽  
Bárbara Luque ◽  
Sebastián Jesús Rubio ◽  
Esther Cuadrado ◽  
Tamara Gutiérrez-Domingo ◽  
...  

ObjectivesPsychological well-being and sociodemographic factors have been associated with cardiovascular health. Positive psychological well-being research is limited in the literature; as such, this study aimed to investigate how patients with cardiovascular disease could be classified according to their perceived mental and physical health, and to identify positive psychological profiles based on this classification and test their stability over time.Design and settingLongitudinal study with patients from a public hospital located in Córdoba (Spain).ParticipantsThis study comprised 379 cardiovascular patients (87.3% men) tested at three measurement points.Outcome measuresParticipants reported their sociodemographic variables (age, sex, educational level, employment and socioeconomic status) at phase 1, while their perceived health and variables relating to positive psychological well-being were tested at this and two subsequent time points (average interval time: 9 months).ResultsThe two-step cluster analysis classified participants into three groups according to their mental and physical health levels, p<0.001: high (n=76), moderate (n=113) and low (n=189) perceived health clusters. Low perceived health was the largest cluster, comprising almost half of patients. Clusters significantly differed according to sex, p=0.002, and socioeconomic level, p=0.004. The profile analysis indicated that participants in the high perceived health cluster showed high positive affect, positivity, life satisfaction, and self-efficacy in emotion regulation, and less negative affect and use of passive strategies over the three measurement points (95% CI, all ps<0.01). Moreover, psychological profile stability for each cluster was generally found over an 18-month period, all ps<0.05.ConclusionCardiovascular patients may differ in terms of their perceived health and, accordingly, in terms of other relevant variables. Perceived health clusters generated varying and generally stable psychological profiles based on positive psychological well-being variables. Psychological interventions should be adapted to patients’ requirements.


2021 ◽  
Vol 5 (Supplement_1) ◽  
pp. 314-314
Author(s):  
Lyndsey Miller ◽  
Karen Lyons

Abstract Optimizing dyadic health is a central goal of dyadic frameworks. Yet, research has focused on interdependent individual health or the transactional nature of health within dyads. Emerging research has explored dyadic health through the lens of congruence and balance. This longitudinal study examined dyadic mental health in 76 couples (M = 67.88 ± 11.54) during the first year of lung cancer. As expected, multilevel modeling found mental and physical health of couples were significantly associated at baseline (p &lt; .05). Congruence in mental health was significantly associated with changes in physical health over time for survivors (p &lt; .05) but not partners, whereas balanced mental health had differential effects on the physical health of survivors and partners (p &lt; .01). Discussion will focus on the implications of congruent versus balanced dyadic health for the couple, evaluation of interventions, and propose ways to define optimal dyadic health.


2020 ◽  
Vol 77 (7) ◽  
pp. 478-487
Author(s):  
Tea Lallukka ◽  
Aapo Hiilamo ◽  
Olli Pietiläinen ◽  
Minna Mänty ◽  
Anne Kouvonen ◽  
...  

ObjectivesThe determinants of poor functioning and subsequent early exit from work are well established but very little is known about the positive determinants of maintaining good functioning among the ageing workforce. We investigated modifiable determinants of maintaining good mental and physical health functioning.MethodsWe used prospective survey data collected across four waves among the midlife employees of the City of Helsinki, Finland, 2000–2017 (n=3342). Health functioning was repeatedly measured using the Short Form 36 (SF-36) inventory. Trajectories of mental and physical health functioning were separately examined using group-based trajectory analysis. Multinomial logistic regression models were fitted to examine determinants of each trajectory.ResultsFour trajectory solutions for the developmental patterns in health functioning during the follow-up period were selected, with a slightly different shape of the first trajectory for mental and physical functioning: (1) continuously low (mental), low and decreasing (physical), (2) increasing, (3) decreasing and (4) continuously high functioning. After adjustments, the employees in the continuously high mental health functioning group were more likely to have optimal job demands, high job control, no sleep problems and no binge drinking behaviour. Employees in the continuously high physical functioning group had more likely low levels of physically strenuous work and hazardous working environment and no sleep problems and normal weight.ConclusionHigh job control, good sleep and avoiding binge drinking may help maintain good mental health functioning. Low levels of physical or environmental work exposures, good sleep and recommended healthy weight may support maintenance of good physical health functioning among ageing employees.


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