An emerging body of literature has implied that perceived social support is known as an upstream element of cognitive health. Various dimensions of perceived social support may have divergent influence on physical and cognitive health in later life. The present study aimed to investigate the mediating role of perceived social support on the relationship between physical disability and symptoms of depression in senior citizens of Pakistan. The data were collected from three metropolitan cities (Lahore, Faisalabad, Multan) in the Punjab province of Pakistan and 100 participants were approached from each city with a total sample size of 300. The results demonstrated that family support, friends’ support, and significant others’ support mediated the association between physical disability and symptoms of depression, with an indirect effect of 0.024, 0.058, and 0.034, respectively. The total direct and indirect effect was 0.493. Physical disability was directly associated with symptoms of depression and greater physical disability predicted a higher level of symptoms of depression. Perceived social support, including family support, friends’ support, and significant others’ support, showed an indirect association with symptoms of depression. Furthermore, family support and friends’ support were more significantly associated with symptoms of depression as compared to significant others’ support. The research discoveries have better implications for health care professionals, hospice care workers, and policy makers. A holistic approach is required to prevent senior citizens from late-life mental disorders.
Urban migration unlocks new employment opportunities for rural dwellers in a productive manner. This study assessed the quality of employment of migrant workers, and its effect on rural households’ welfare. To this end, we used primary data collected from the four major districts of Lahore, Gujranwala, Faisalabad, and Sialkot in Punjab, Pakistan. These data include 504 immigrant and non-immigrant families in rural areas, and 252 migrant workers in urban destinations. We use IV probit and two-step sequential estimation methods for the empirical analysis. The study provides new insights for migration in Pakistan. First, migrant workers are better off in their new urban settings in terms of improved incomes and living conditions, but their social protection status is still poor. Second, the results of the employment quality models show that migration is a successful strategy for rural households to improve the quality of their employment. In addition, the characteristics of migrants and native households affect the relative improvement in the quality of employment and migrants’ conditions. Third, the results of the propensity score matching technique suggest that migration has a positive impact on rural households’ income, and these impacts are more pronounced in large cities. Based on the findings, the study recommends that the government should invest in quality education in rural areas, and ensure that social security schemes are provided for migrant workers in urban areas.
Cognitive social capital is crucial for mental wellbeing and physical disability in order to avoid late-life depression. The objective of this study was to investigate the mediating effect of cognitive social capital (interpersonal trust and reciprocity) on the relationship between physical disability and depression in elderly people of rural Pakistan. For this purpose, 146 respondents aged 60 years or above and residents of rural areas of district Muzaffargarh (Punjab, Pakistan) were approached for data collection. The questionnaire includes socio-demographic variables (gender, age, education, marital status, family system, living status, household income, and number of chronic diseases); the geriatric depressive symptoms scale (GDS-15) was used to measure depression, physical disability was evaluated through ADL and IADL scales, and cognitive social capital, which includes interpersonal trust and reciprocity, was measured using single-item questions. It was found that interpersonal trust, reciprocity, depression, and physical disability were significantly correlated with each other and physical disability was directly associated with depression. In mediation analysis, reciprocity mediated the relationship between physical disability and depression. Our findings highlight the need to enhance cognitive social capital interventions and develop policies to promote mental and physical health of rural elderly.
The rate of urbanization in Pakistan especially in Punjab is quite high. The reason behind this is the high population growth that is about 2.4 percent in the last decade. This causes a burden on the farm size and in rural areas people have no choice except to move in the urban areas for their livelihood. The main objective of this study was to identify the key influential factors that affect the decision to migrate. Study evaluated the impact of economic, social, demographic, natural and climatic factors on the welfare of the migrants and non-migrant's households. For this purpose, an extensive survey from 504 respondents was carried out in four districts of Punjab, Pakistan. Due to the dichotomous nature of the dependent variable i.e. migrant and non-migrant, logistic regression was employed on the collected data using Stata. Results revealed that unemployment, educational and health facilities, family conflicts, small farm size for agricultural activities, and greater family size are the main influencing factors affecting migration decision from rural to urban areas. This creates the strong implications i.e. putting burden on the urban areas due to the high rate of urbanization. So, it is however recommended to stem down the rate of migration all necessary facilities should be provided in the rural areas and Agro-based must be set up near the rural areas providing employment opportunities for the rural dwellers.
IntroductionPrevious studies have explored the impact of social media use on people’s subjective well-being, but there is a lack of discussion on the relationship between social media use, Internet addiction, and subjective well-being, and the research on the influence of digital skills on this relationship is not sufficient. This paper aims to fill these gaps. Based on the flow theory, this paper takes Chinese residents as the research object and uses CGSS 2017 data to analyze the impact of social media use on people’s subjective well-being.MethodsOur study used multiple linear regression models for analysis. To test the hypotheses and the moderated mediation model, we adopted PROCESS models with 5000 bias-corrected bootstrap samples and 95% confidence intervals. All analyses were conducted using SPSS 25.0.ResultsThe empirical analysis shows that social media use has a positive direct effect on subjective well-being, and Internet addiction plays a suppressing role in the relationship between social media use and subjective well-being. In addition, we found that digital skills moderated the positive effect of social media use on Internet addiction and the indirect effect of social media use on subjective well-being through Internet addiction.DiscussionThe conclusion of this paper supports our previous hypothesis. Besides, the theoretical contribution, practical significance, and limitations of this study are discussed based on the results of previous studies.
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