Subjective Well-Being and Its Association with Subjective Health Status, Age, Sex, Region, and Socio-economic Characteristics in a Chinese Population Study

Sun, Sun; Chen, Jiaying; Johannesson, Magnus; Kind, Paul; Burström, Kristina

doi:10.1007/s10902-014-9611-7

Cited by 132 publications

(73 citation statements)

References 47 publications

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“…Subjective personal health is one variable that is rarely used (an exception is the study by Sun et al 2015), mainly because a good quality version of this variable is missing in the data. On the other hand, it is not clear whether it should be included.…”

Section: Model Implementation Of This Studymentioning

confidence: 99%

“…The earlier studies have used both multinational and national surveys but more often national such as Chinese Population Study (Sun et al 2015), German Socio-economic panel (e.g., van Praag et al 2003). Frijters and Beatton (2012) used the three national surveys in one study, that is, the American General Social Survey, the British Household Panel and the Hilda Survey (Survey (Household, Income and Labour Dynamics in Australia).…”

Section: Data and Data Handlingmentioning

confidence: 99%

“…The same is concerned for control variables. Income consists typically of four or five categories (Alesina et al 2004;Sun et al 2015), except in the case of income surveys. The representativeness of most of these surveys is not either as good as in the ESS, which is well controlled both for the sampling and the fieldwork.…”

Section: Data and Data Handlingmentioning

confidence: 99%

“…An example is from China in which the happiness variable is subjective well-being measured with five categories (Sun et al 2015).…”

Section: Introductionmentioning

confidence: 99%

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A Research Note: Happiness by Age is More Complex than U-Shaped

Laaksonen

2016

J Happiness Stud

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Happiness varies with age, but there is no general agreement regarding the feature of the variation. Many studies have found that it is U-shaped such that there is a minimum between approximately 40 and 50 years of age. The result largely depends on the control variables used in the happiness modeling. Some authors do not even allow the use of any control variables, but the conventional theory of U-shaped studies stipulates the inclusion of such controls that essentially influence the basic living conditions of people. In this study, we do not strictly follow earlier findings but estimate our age-shape with different versions of them, using the data of 28 or 30 European countries. We also estimate a model without proper controls. This does not give any minimum age and thus supports some studies. Moreover, using any or all of our three controls some type of U-shape is found in most countries. Our U-shapes are not as simple as conventional research suggests. Minimum happiness can occur either below 40 years, or much above 50 years. A special feature is that the U-shape phenomenon holds better for males than for females. We also estimated models to see what happens after the minimum age happiness. In the case of gender models, the turning points for males are substantially lower than for females. This means that the old-age happiness of males stops to increase approximately at 70 years but more than 10 years later for females.

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Section: Model Implementation Of This Studymentioning

confidence: 99%

Section: Data and Data Handlingmentioning

confidence: 99%

Section: Data and Data Handlingmentioning

confidence: 99%

“…An example is from China in which the happiness variable is subjective well-being measured with five categories (Sun et al 2015).…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

A Research Note: Happiness by Age is More Complex than U-Shaped

Laaksonen

2016

J Happiness Stud

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“…Easterlin (2003) also notes increases in life satisfaction among those who married in the first decade of adulthood. However, numerous studies have suggested that married people are more satisfied with life than the never-married or previously married people (Heliwell, 2003;Strine, Chapman, Balluz, Moriarty, & Mokdad, 2008;Mousavi, Shiani, Mohammadi, Sadjadi, Tabatabaee, & Assari, 2011;Sun, Chen, Johannesson, Kind, & Burström, 2016).…”

Section: International Journal Of Social Science Researchmentioning

confidence: 99%

The Moderating Effect of Socio-Demographic Characteristics on Subjective Wellbeing

Mayungbo¹

2017

IJSSR

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The independent association between socio-demographic characteristics and subjective well-being is well studied, however, the moderating impact of those characteristics are yet to be established in literature. This study examines the moderating influence of socio-demographic characteristics on subjective well-being among residents in Ibadan metropolis. Using a descriptive survey design and a multistage sampling technique, 10 enumeration areas each were selected from the five major Local Government Areas (LGAs) with simple random technique. The number of participants on the selected enumeration areas were determined with enumeration area maps. Two hundred and twenty participants each were selected from each LGA, using a systematic technique, making a total of 1,100 participants. A questionnaire focusing on socio-demographic profile and life satisfaction scale (r=0.74) was administered to the participants. Data were analyzed using descriptive statistics, co-relational analysis, moderated hierarchical multiple regression and analysis of variance at 0.05 level of significance. Two hypotheses were tested. The result reveals that socio-demographic factors jointly predicted life satisfaction (F (1, 1007) =4.61, p<.001). Age and marital status also interacted to predict life satisfaction (β=-0.13, t=-3.58, p<.01; β = -0.08, t=1.98, p<.05). The interaction effect of social demographic factors should be considered in a comprehensive examination of subjective wellbeing.

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The Effects of Exercise and Relaxation on Health and Wellbeing

et al. 2017

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SummaryBetter management by individuals of their long‐term conditions is promoted to improve health and reduce healthcare expenditure. However, there is limited evidence on the determinants and consequences of self‐management activity. We investigate the determinants of two forms of self‐management, exercise and relaxation, and their impact on the health and wellbeing of 3472 individuals with long‐term health conditions over a 1‐year period. We use simultaneous recursive trivariate models to estimate the effects of these two inputs on three health and wellbeing outcomes: the EuroQol five‐dimensional (EQ‐5D) score, self‐assessed health and happiness. We reflect the opportunity cost of time and knowledge with employment status and education and find that employment reduces relaxation and education increases exercise. We find that neither exercise nor relaxation affects the EuroQol five‐dimensional score, but exercise increases self‐assessed health and relaxation increases happiness. Our findings show that individuals tailor their self‐management activities to their economic constraints, with effects on different aspects of their utility. Interventions to encourage self‐management should take account of heterogeneous effects and constraints. © 2017 The Authors. Health Economics Published by John Wiley & Sons, Ltd.

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Subjective Well-Being and Its Association with Subjective Health Status, Age, Sex, Region, and Socio-economic Characteristics in a Chinese Population Study

Cited by 132 publications

References 47 publications

A Research Note: Happiness by Age is More Complex than U-Shaped

A Research Note: Happiness by Age is More Complex than U-Shaped

The Moderating Effect of Socio-Demographic Characteristics on Subjective Wellbeing

The Effects of Exercise and Relaxation on Health and Wellbeing

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