The most common perception is that the prevalence of malnutrition among females is higher than males. To solve this dilemma, the present article analyzes the impact of socioeconomic factors on the nutritional status of under-five children by gender using a binary logistic regression model. Utilizing the Pakistan Demographic and Health Survey [PDHS]-2013 data, a CIAF index is constructed to measure child malnutrition. The disaggregation analysis illustrates that the working status of mothers, mothers not having ownership of assets, women not involved in income decisions, and urban place of residence are found major contributors in male child malnutrition. However, factors such as higher birth order and diarrhea contribute to malnutrition in female children. The study concludes that both male and female children have a higher probability of being malnourished, but effects have been found more in male children in disaggregated analysis than female counterparts.
Nutrition status is an important indicator of child health. This study estimates the effect of socioeconomic determinants on children's nutritional status of under five years of age. We apply the Composite Index of Anthropometric Failure (CIAF) in our empirical analysis as a proxy measure to denote the malnutrition measurement index, and a binary logistic regression model using PDHS dataset for 2017-18. The logistic regression model inspects the probability of malnutrition among children. The result demonstrates that the age of children, education and employment status of mothers, BMI of mothers, assets owned by mothers, tetanus vaccination of mothers, the incidence of diarrhea in children, and household wealth has a significant impact on malnutrition in children. The study concludes that socioeconomic deprivations and inequalities in society play a significant role in determining the health and nutrition of pre-school children.
Purpose: This study intends to determine whether family businesses empower women, encourage their entrepreneurship, and enable them to become fully engaged in activities that generate finances by allowing them to select their own business idea.
Methodology: Empowering women is crucial for accelerating economic and financial progress. The question of the economic empowerment of women is of utmost importance to political philosophers, social scientists, and reformers because it is currently thought of as a sine qua non of progress for a nation. This study examines the relationship between women's financial empowerment, business, and the home using data from the 2017–18 Pakistan Demographic and Health Survey (PDHS). For this, we employed binary logistic regression.
Findings: Women who are educated and have a job are more empowered than women who are not employed. Furthermore, economic and financial development cannot occur without the advancement of women. Women should be taught technical knowledge and marketing strategies and empowered to develop their skills to create more sustainable businesses.
Contribution to literature: This study contributes to the literature in two ways: First, this study utilized the fertility variable which was not utilized in earlier studies. Second, this study identified the women empowerment factors by using four different indicators.
Background
People lived through different types of stresses during the COVID-19 pandemic, and stresses from different sources are believed to associate differently with mental health.
Objectives
The current study aims to examine the relationship between types of stresses and mental health among the general Chinese adult population, and further explore the moderating role of social support in these relationships.
Methods
This study was conducted from 1 to 10 February 2020, and 2441 participants were recruited through an online cross-sectional survey from 31 provinces in China. We used multiple linear regression analyses to examine the associations among stresses’ types, social support, and mental health.
Results
The study revealed that all types of stresses were associated with more mental health symptoms. Stresses from lockdown policy presented stronger associations with mental health symptoms (Beta = 0.387 for depressive symptoms and Beta = 0.385 for post-traumatic stress symptoms (PTSS)) than stresses from pandemic fear (Beta = 0.195 for depressive symptoms and Beta = 0.221 for PTSS). Moreover, greater social support enhanced the positive associations between stresses and mental health symptoms.
Conclusions
Stresses from lockdown policies during the early stage of the COVID-19 epidemic are worthy of more attention. We urge more interventions are required to reduce the side-effect of lockdown policies, and also discuss implications for mental health promotion.
The COVID-19 pandemic is associated with Posttraumatic Stress Symptoms (PTSS) and self-reported Posttraumatic Growth (PTG) in the general population. This study used linear regressions for analyses, based on an online survey conducted during the COVID-19 lockdown among 2441 Chinese adults in February 2020. The results showed negative coping and attributing responsibilities to individuals were associated with more PTSS, while both positive and negative coping, as well as attributing responsibilities to individuals were related to more PTG. Moreover, attribution of responsibilities modified the association between coping and PTSS, but not PTG. These findings shed light on mental health interventions in a pandemic context.
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