Age and gender differences in affect and subjective well‐being

Jasook, Koo; Rie, Juil; Park, Kunseok

doi:10.1111/j.1447-0594.2004.00224.x

Cited by 19 publications

(15 citation statements)

References 25 publications

(26 reference statements)

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“…Some research showed that married people are healthier than unmarried people 12–25,53–58. The findings of Koo, et al54 revealed that being married was a “good” motive for an increase in psychological and subjective wellbeing in old age. Smith and Waitzman55 offered the explanation that wives were found to dissuade their husbands from particularly risky behaviors, such as the use of alcohol and drugs, and would ensure that they maintained a strict medical regimen coupled with proper eating habits 53,56.…”

Section: Discussionmentioning

confidence: 99%

Self-assessed health of young-to-middle-aged adults in an English-speaking Caribbean nation

Bourne

South-Bourne²

2010

PROM

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Background:Gender differences in self-assessed health in young-to-middle-aged adults are understudied in the English-speaking Caribbean nations.Aims:The aims of the current research are to (1) provide demographic characteristics of young adults, (2) examine the self-assessed health of young adults, (3) identify social determinants that explain good health status for young adults, (4) determine the magnitude of each social determinant, and (5) reveal gender differences in self-assessed health.Materials and methods:This study extracted a subsample of 3,024 respondents from a larger nationally cross-sectional survey of 6,782 Jamaicans. Statistical analyses were performed using the SPSS v 16.0. Descriptive statistics were used to provide demographic information on the sample. Chi-square was used to examine the association between nonmetric variables, and an independent sample t-test was used to test the relationships between metric and dichotomous categorical variables. Logistic regression examined the relationship between the dependent variable and some predisposed independent variables.Results:One percent of the sample claimed injury and 8% illness. Self-reported diagnosed illnesses were influenza (12.7%), diarrhea (2.9%), respiratory disease (14.1%), diabetes mellitus (7.8%), hypertension (7.8%), arthritis (2.9%), and unspecified conditions (41.2%). The mean length of illness was 26 days (SD = 98.9). Nine social determinants and biological conditions explained 19.2% of the variability of self-assessed health. Biological conditions accounted for 78.1% of the explanatory model.Conclusion:Injury accounts for a miniscule percentage of illness and so using it to formulate intervention policies would lack the necessary depth to effectively address the health of this cohort.

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Section: Discussionmentioning

confidence: 99%

Self-assessed health of young-to-middle-aged adults in an English-speaking Caribbean nation

Bourne

South-Bourne²

2010

PROM

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“…The instrument consists of 6 sections and comprised of 103 questions. Sections A & B dealt with items from the MLQ 5X (i.e., question 1-36); Section C detailed items from the SF-36 (i.e., questions 37-72), Section D was on healthcare seeking behaviour (i.e., questions [73][74][75][76][77], Section E examines self-reported medical history/health conditions/illnesses (i.e., questions 78-94), and Section F addresses the demographic characteristics (i.e., questions, [95][96][97][98][99][100][101][102][103]. The demographic issues were on 1) place of leaders (higher education and SDA church), 2) gender, 3) age, 4) marital status, and 5) religiosity (frequency of monthly church attendance).…”

Section: Population Sampling Design and Proceduresmentioning

confidence: 99%

Does Leadership Style Influence Health Status of Leaders, and Is It a New Determinant of Health?

Bourne¹

2020

IJMBS

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Introduction: The discourse of health and leadership has not empirically established whether leadership styles (transactional, transformational, and laissez-faire) is a health determinant. Objective: This study seeks to examine whether selected demographic characteristics and leadership styles are factors of self-reported general health status. Methods and materials: A standardized questionnaire was developed to evaluate whether or not leadership styles are correlated with health status and if this should be included as a new health determinant. This was administered between August and September 2019. The population for this research was leaders who serve in Seventh-day Adventist Churches in Central Jamaica. Statistical significance was determined a p-value less than or equal to five percentage points (≤ 0.05)– two-tailed test. Multivariate analyzing (logistic binary regression) was used to model factors influencing the good health status of the sampled respondents, and exploratory factor was used to determine the suitability of the indexations such as leadership styles and self-reported health status. Results: Three variables emerged as statistically significant predictors of self-reported good health status of leaders (transformational leadership: OR=19.241, 95%CI: 3.225-114.8, R2=47.6%; Transactional leadership: OR=0.143, 95%CI: 0.31-0.664; and age of respondents: OR=0.954, 95%CI: 0.911-0.999). Based on the Nagelkerke R Square, 48% of the variance in good health is explained by age, transactional and transformational leadership styles. Conclusion: Leadership style is a potential determinant of health (social determinant) that offers further explanation of people’s well-being (health) that cannot be discounted any longer. Keywords: Health determinants, transactional leadership, transformational leadership, laisses-faire leadership

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“…Other researches detected a negative correlation between age and subjective well-being [24; 27]. Koo et al [24], however, stress that the reduction of well-being with the passing of age is only occasional like in the case of low educational level, lack of partners or bad health status.…”

Section: Ii1 Standard Of Living Satisfaction and Demographical Chamentioning

confidence: 99%

Demographic and socio-psychological effects in judging the minimal and ideal standard of living

Mihály¹,

Komáromi²,

Bruder³

2018

Reg. ekon. Yug Ross.

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Abstract. The EU carried out research on 26 member states in which comparative indicators on the standard of living were created [16]. This qualitative research served as the basis of our paper as it was suggested that the social and economic situation of the respondents had had a significant impact on the issue of what "minimally acceptable" and "affordable" is by a nation in terms of certain goods and services. Accordingly, the consumer baskets created this way do not necessarily reflect what the required and inevitable minimum standard of living in the given society is (one of the objectives of the research was to define this). As a matter of fact, setting and achieving the desirable, minimal or satisfactory standard of living depend on a lot of factors. In our opinion demographical characteristics are important but the individual's personality traits, psychological impacts and socio-cultural background are also as important as they are. Our paper reviews the research results on the topic and presents empirical research carried out with women. According to our findings the ideas and expectations for the standard of living in the future -let it be the minimum or the desirable maximum -are significantly influenced by the demographical features and the identity of the individual. The strongest influence was made by age. This draws attention to the fact when people are asked about their ideas and desires on making a living (and, accordingly, certain propositions are made on pricing modifications -e.g. by tax reduction), a wider range is worth to be examined. N. Mihály, N. Komáromi, E. Bruder. Demographic and socio-psychological effects in judging the standard of living 14

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Age and gender differences in affect and subjective well‐being

Cited by 19 publications

References 25 publications

Self-assessed health of young-to-middle-aged adults in an English-speaking Caribbean nation

Self-assessed health of young-to-middle-aged adults in an English-speaking Caribbean nation

Does Leadership Style Influence Health Status of Leaders, and Is It a New Determinant of Health?

Demographic and socio-psychological effects in judging the minimal and ideal standard of living

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