The impact of information and communication technologies, CO2 emissions, and energy consumption on inclusive development in developing countries.

This study investigates the impact of information and communication technologies, carbon dioxide emissions, and energy consumption on inclusive development of 81 developing countries for the period 2010-2014. Two-step system generalized method of moments has been employed to estimate these dynamic relationships among the variables in conditional and unconditional models. Our findings support the theory that ICTs can be used as policy instrument to dampen the negative effect of environmental degradation on inclusive development. The results suggest that ICTs in association with CO2 emissions per capita positively affect inclusive development in an unconditional regression. When ICT complements CO2 intensity, it positively affects inclusive development in mobile- and internet-oriented regressions. However, we also found net negative effects of association between ICTs and CO2 emissions from liquid and fuel and CO2 emissions from heat and electricity which reflects a decrease in inclusive human development. We suggest that policy makers should consider the nature and dimensions of CO2 emissions while using ICTs as policy instrument to mitigate emissions and should invite and plan such investments in ICTs which help in attaining environmental sustainability and inclusive development.

The Role of Socio-demographics in Adoption of Religious-Spiritual and Other Coping Strategies Among Muslim Chronic Patients with Hepatitis C in Pakistan.

Coping has emerged as a vital indicator among patients in the chronic conditions. The current study examined the role of demographic characteristics (such as age, education, gender, marital status, residential background, family type and number of children) in adoption of coping (emotion-focused, problem-solving, religious-spiritual) strategies for nursing among hepatitis patients. A sample of 500 patients (of hepatitis C) was drawn from five most populous districts (Lahore, Faisalabad, Rawalpindi, Gujranwala and Multan) of Punjab, Pakistan, by using Epi Info software with an alpha level of 0.03. The data were collected using a well-structured multi-sectional interview schedule through multistage proportionate sampling technique. Descriptive analysis, regression analysis and reliability analysis were computed using SPSS (version 21.0). In the overall adoption of coping strategies, lower monthly household income, lower education, rural residences, nuclear family setting and married status were contributing to the adoption of higher coping strategies among Muslim chronic patients with hepatitis C. The results of socio-demographics are also discussed with other coping strategies (such as religious-spiritual coping strategies, problem-solving coping strategies, emotion-focused coping strategies and constructive coping strategies). It was the first quantitative study of adoption of coping strategies among Muslim hepatitis patients in Pakistan. The study highlighted the importance of socio-demographic resources to cope with chronic illness. The empirical findings would start a new discussion from hepatic, counseling and nursing perspective. For terminal patients, these socio-demographic characteristics can serve as a guideline to provide community sources of social support. Medical social workers and healthcare experts need to facilitate the efforts of patients to cope with chronic illness through revision of nursing policy according to the socio-demographic and spiritual-religious needs of the patients.

Correlates of self-reported depressive symptoms: a study of older persons of Punjab, Pakistan.

This paper examines the prevalence and correlates of depressive symptoms among older persons of Punjab, the largest Province of Pakistan. Data were gathered from 4191 older persons aged 60+ using Probability Proportional to Size (PPS) of population. A version of the CES-D Scale adapted for low-literate populations was used to measure self reported depressive symptoms. Various independent factors, including socioeconomic factors, self-reported health conditions, and functional impairments were examined to see their net effect on depressive symptoms among older persons. Results of logistic regression analysis showed that region, area, living index, independent source of income, self-reported health conditions, and functional impairment were significant factors affecting self-reported depressive symptoms among older persons in Punjab. An important cross-cultural difference was a lower risk of depressive symptoms among older women, which may reflect the buffering effects of family co-residence and the position of seniors in extended families.