Happiness and Health in Europe: A Multivariate Multilevel Model

Pierewan, Adi Cilik; Tampubolon, Gindo

doi:10.1007/s11482-014-9309-3

Cited by 27 publications

(19 citation statements)

References 51 publications

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“…So, these data are self-reported and imply that the empirical results are tentative. It is similar to the relationship between happiness and health which is found positively correlated by other researchers [ 17 ] or the heterogeneity in health among elderly people [ 18 ].…”

Section: Discussionsupporting

confidence: 87%

Opening the black box of under-health people: the case of Spain

2016

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The most famous modern definition of health was created during a Preamble to the Constitution of the World Health Organization in 1946: “Health is a state of complete physical, mental and social well-being and not merely the absence of disease or infirmity.” This definition has not been amended and, since then, many indicators have been proposed to measure health such as Self-Assessed Health (SAH) status. It provides an overall measure of a population’s health based on individuals’ personal perceptions of their own health.In this paper, we focus our analysis on “under-health” as the fact of having a level that falls behind the health requirements necessary to perform what is considered an “expected life based on Self Assessed Health”. For Spain using the European Union Statistics on Income and Living Conditions (EU-SILC), we can confirm there exist under-healthy people by occupation, age group and sex. Additionally, under-healthy workers are most likely to be found among skilled agricultural, fishery workers and elementary occupations.

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Section: Discussionsupporting

confidence: 87%

Opening the black box of under-health people: the case of Spain

2016

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“…But CASP-19 is only one measure. Other measures of quality of well-being should also be looked at including those that are broader or less specific in conception such as life evaluation and happiness (Fleurbaey, 2009 ; Fleurbaey & Blanchet, 2013 ; Layard, 2005 ; Pierewan & Tampubolon, 2013 , 2014a , 2014b ). Our exploration in this study also stopped at level change across cohort, postponing interactions with age and other variables to further work.…”

Section: Discussionmentioning

confidence: 99%

Delineating the third age: joint models of older people's quality of life and attrition in Britain 2002–2010

Tampubolon

2015

Aging & Mental Health

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Objectives: In the public mind, later life is being transformed by the emerging possibility of a flourishing third age with sustained quality of life. We draw trajectories of life quality measured using CASP-19 over eight years. We refine these trajectories by jointly modelling attrition, since older people tend to leave longitudinal studies (attrite) not at random. Methods: Growth curve models are applied to the English Longitudinal Study of Ageing waves 1 to 5. Then joint model is estimated where attrition is considered. Extensive predictors are entered including demographic attributes, social and economic status, health conditions, and behaviours. Results: Strong non-linear age trajectory of life quality is revealed by the growth curve models where the peak is achieved in the late 60s. Then the joint model uncovers the peak somewhat later in time, and also reveals secular improvement in life quality experienced by recent cohorts. Sharp estimates for many predictors of higher levels of life quality are also found. Conclusion: For the first time, the trajectories of life quality in the third age are drawn and improvement across cohorts is demonstrated. The contributions are estimated for predictors amenable to intervention such as social capital. This can help in policy discussion on improving the lives of older people in the third age.

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“…Intimate relationships tend to provide an avenue for people to express and manage personal distress, which may help alleviate anxiety [25]. Marriage is associated with psychological bene ts that make the partners happier and healthier [26,27,28]. Zaider and colleagues reported that in marital relationships the wives were more vulnerable to anxiety than husbands and those wives often perceived that their husbands were the ones who alleviated or appeased their anxiety [25].…”

Section: Discussionmentioning

confidence: 99%

COVID-19-related mental health burden and reduced awareness of mental healthcare services in low income earners of Western Uganda 

Lemuel

Usman

Kasozi

et al. 2020

Preprint

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Background: The imposed COVID-19 lockdown is taking a toll on mental health individuals, with low-income earners considered most affected, as the imposed lockdown was accompanied with partial or complete loss of livelihood among low income earners. The study aimed to investigate level of education and relationship status on awareness of mental healthcare and explore how these factors influence mental health among low income earners in Western Uganda.Methods: A cross sectional descriptive study was undertaken among low-income earners in South Western Uganda. Data were collected from two hundred and fifty-three (253) participants using a structured closed ended questionnaire. Anxiety, anger and depression were assessed using a modified generalized anxiety disorder (GAD-7), Spielberger’s State-Trait Anger Expression Inventory-2 (STAXI-2) and Beck Depression Inventory (BDI) item tools respectively.Result: Most respondents were single male individuals with secondary level of education. Respondents with tertiary level of education and those with partners had higher score (71.7% and 70.28% respectively) for awareness on mental healthcare. Respondents with primary education level and individuals that were single had higher score (46.98% and 43.72% respectively) for anxiety. Respondents with primary education level and those living with partners had higher mean score (56.44% and 56.21% respectively) for anger. Respondents with no formal education and those who had lost partners had higher mean score (32.11% and 30.50% respectively) for depression. Individuals without formal educational and primary education were observed to have a negative correlation (r2 = 47.4 and 6.4% respectively) with awareness on mental healthcare, and the no formal group had positive correlation with anger and depression (r2 =1.9 and 0.3% respectively), while other groups were negatively correlated (r2 =10.1%). The group of single individuals had a negative correlation with awareness on mental healthcare, anger and depression (r2 =1.9, 0.8 and 0.3% respectively), and a positive correlation with anxiety (r2 =3.9%).Conclusion: It is evident that education and relationship status influence awareness on mental healthcare and mental health state among low income earners in Western Uganda. Therefore, we suggest policy maker pay more attention to social transformation, through proper engagement of low income earners.

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Happiness and Health in Europe: A Multivariate Multilevel Model

Cited by 27 publications

References 51 publications

Opening the black box of under-health people: the case of Spain

Opening the black box of under-health people: the case of Spain

Delineating the third age: joint models of older people's quality of life and attrition in Britain 2002–2010

COVID-19-related mental health burden and reduced awareness of mental healthcare services in low income earners of Western Uganda

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Happiness and Health in Europe: A Multivariate Multilevel Model

Cited by 27 publications

References 51 publications

Opening the black box of under-health people: the case of Spain

Opening the black box of under-health people: the case of Spain

Delineating the third age: joint models of older people's quality of life and attrition in Britain 2002–2010

COVID-19-related mental health burden and reduced awareness of mental healthcare services in low income earners of Western Uganda&nbsp;

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COVID-19-related mental health burden and reduced awareness of mental healthcare services in low income earners of Western Uganda