Predictors of life satisfaction in Australia: A study drawing upon annual data from the Gallup World Poll

Understanding Key Predictors of Life Satisfaction in a Nationally Representative Sample of Koreans

The purpose of this study was to examine the factors that predict life satisfaction in a large representative sample of Koreans by analyzing data from the Gallup World Poll. The primary objective was to identify important predictors and suggest strategies to improve quality of life in Korea. The study used available Korean data from 2006 to 2017, which included 14,101 participants (mean age = 46.42). Predictors included demographic and psychological variables, with the Cantril Ladder of Life Scale serving as the outcome variable. The results show a decline in life satisfaction with advancing age, and that the relationship between life satisfaction and age varied by gender. Among the predictors examined, satisfaction with the standard of living and household income emerged as the most influential factors in determining life evaluation; other strong predictors included positive affect and negative affect, social support, gender, and education level. These results imply that, to increase life satisfaction, it is imperative to provide job opportunities and social services specifically targeted to individuals in low-income groups. In addition, it is crucial to implement tailored psychosocial interventions that address the unique developmental tasks and psychological challenges experienced by individuals according to their gender and life cycle stage.

Mediation effects of positive and negative affect on the relationship between emotional intelligence and life satisfaction in rural school teachers

Few studies have investigated the ways in which the specific facets of trait emotional intelligence (EI), positive affect (PA), and negative affect (NA) influence individuals' general life satisfaction, especially in teachers. This study explored the effects of three facets of trait EI [appraisal and expression of emotions (AEE), utilization of emotion (UE), and regulation of emotions (RE)] and two typical affects (PA and NA) on teachers' general life satisfaction. The participants were 577 Chinese rural school teachers (ages 18-49 years) who completed three questionnaires-the Schutte Self-Report Emotional Intelligence Test, Positive and Negative Affective scale, and Satisfaction with Life Scale. After validating the scales, a structural equation modeling analysis showed that trait EI, PA, and NA had a significant and positive effect on teachers' general life satisfaction. PA played a partial mediating role between trait EI and life satisfaction. Furthermore, this study found that PA significantly and positively mediated the relationship between AEE, UE, RE, and life satisfaction. These results suggest that teachers with higher EI are more likely to have positive emotions, thereby enhancing their general life satisfaction, and that understanding the role of one's own and others' emotions and increasing positive emotions may be the key to improving teachers' general life satisfaction. Future implications and the study limitations are discussed.

Determinants of life satisfaction among women of reproductive age (15-49 years) in Bangladesh: A cross-sectional analysis

The life satisfaction of women is an essential component of their subjective well-being. It is an indicator of a woman’s life quality based on personal perception. Considering the importance of women’s subjective well-being, the United Nations (UN) has recognized this as one of its Sustainable Development Goals (SDGs). To the best of our knowledge, no study has been done yet for Bangladeshi women aged 15-49 years using nationally represented data. This study is the first study, to our knowledge, that will identify the determinants of life satisfaction and investigate the association between these determinants and life satisfaction among women of reproductive age (15-49 years) in Bangladesh. This study examined the overall life satisfaction and impact of some personal and sociodemographic characteristics on it among the women aged 15 to 49 years in Bangladesh using the Multiple Indicator Cluster Survey (MICS) 2019 data, a cross-sectional data. In our study, information regarding life satisfaction was available for a sample of 64,283 women after categorizing the variable overall life satisfaction and adjusting the missing values. The variable overall life satisfaction was categorized into three categories, namely low (0-3), moderate (4-6), and high (7-10), according to the Organisation for Economic Co-operation and Development (OECD) guidelines. Results showed that 14.67% of women are low satisfied, 50.65% are moderately satisfied, and 34.68% are highly satisfied with their lives. A bivariate analysis was applied in this study to show the significant association between the determinants and life satisfaction. The multinomial logistic regression analysis was performed to draw valid conclusions about the effects of the potential determinants on life satisfaction. The study revealed that satisfaction increases with age, education level, and wealth status. For the variable marital status, which has three categories: currently married, formerly married, and never married, current marriage was strongly associated with higher life satisfaction. In contrast, a former marriage and a never marriage were associated with lower life satisfaction. Migration status was also significantly associated with life satisfaction, where women who changed their location were more satisfied than those who never changed their current location. Bangladesh aims to achieve the Sustainable Development Goals (SDGs) by 2030. To achieve the Sustainable Development Goal (SDG) 3, which promotes well-being, and the goal 5, to empower all women and girls, addressing the issues related to life satisfaction and applying appropriate intervention is a must.

Determinants of life satisfaction among Ghanaians aged 15 to 49 years: A further analysis of the 2017/2018 Multiple Cluster Indicator Survey

The inclusion of life satisfaction in government policies as a tracker of the social and economic progress of citizens has been recommended. This has encouraged the scientific investigation of life satisfaction levels of people in tandem with factors responsible for these levels. Only a few studies have attempted to do this in Ghana with mixed findings. This study, therefore, extends previous literature by examining the determinants of life satisfaction among Ghanaians in two ways: a full sample and a gender-stratified sample. We analysed cross-sectional data from the 2017/2018 Ghana Multiple Indicator Cluster Survey Six (MICS 6). A sample of 20,059 women and men of ages ranging from 15 to 49 years participated in this study. The Cantril's Self-Anchoring Ladder Life Satisfaction scale was used to capture the life satisfaction of participants alongside relevant sociodemographic questions. About 35% of participants reported they were satisfied in life with males reporting more suffering levels [39.59%; 95% CI:36.38, 42.88] and females more thriving levels [36.41%; 95% CI:35.01, 37.84]. In the full sample multivariable model, gender, age, parity, education, marital status, wealth index, and region of residence were significantly associated with life satisfaction. Gender variations were also found across these associations. These findings collectively provide useful information for policymakers and practitioners to optimize interventions for the Ghanaian population aimed at improving life satisfaction. Evidence from this study also calls on the government of Ghana to begin tracking the life satisfaction of her citizens.