Opportunity, Social Mobility, and Women's Views on Gender Roles in Central Asia

The COVID-19 pandemic and mental health in Kazakhstan

The COVID-19 pandemic had significant impacts on mental health. We examined factors associated with symptoms of depression and anxiety during the COVID-19 pandemic in Kazakhstan. We surveyed 991 adults in Kazakhstan in July 2021 using multistage stratified sampling. Depression and anxiety were measured with the Patient Health Questionnaire-4. We conducted logistic regression to assess associations between depression and anxiety and sociobehavioral factors. Overall, 12.01% reported depressive symptoms and 8.38% anxiety. Higher likelihood of depression was associated with being female (AOR: 1.64; 95% CI [1.05, 2.55]), having experience with COVID-19 in the social environment (AOR: 1.85; 95% CI [1.1-3.14]), experiencing food insecurity (AOR: 1.80; 95% CI [1.11-2.89]), increased family conflict (AOR: 2.43; 95% CI [1.32-4.48]) and impaired healthcare access (AOR: 2.41; 95% CI [1.32-4.41]). Higher likelihood of anxiety was associated with being female (AOR: 3.43; 95% CI [1.91-6.15]), increased family conflict (AOR: 2.22; 95% CI [1.11-4.44]) and impaired healthcare access (AOR: 2.63; 95% CI [1.36-5.12]). Multiple factors were associated with mental health in Kazakhstan during the COVID-19 pandemic. Further research is needed to determine the extent to which these factors and their associated mental health outcomes may persist.

Women's health inequalities in 15 Muslim-populated countries: Evidence from population and mortality statistics

In this study, we examined health inequalities and the status of women as evidenced in the patterns of population and mortality statistics in fifteen Muslim-populated countries. Based on WHO data, female-to-male ratios were calculated to determine differential gender ratios of population and mortality, using Western gender patterns as a baseline. The socioeconomic contexts of the analysis were the percentage of women in parliaments data by OECD and the Gross National Income Per Capita PPP by the World Bank. The study results indicate that former USSR countries had fewer girls, suggesting gender selection, whilst fewer adult women in the Gulf States population indicate health inequalities. Female children's mortality was under-reported, inferring under-valuing girls. Higher female adult deaths in Egypt, Iran, and the Gulf States show greater discrimination. Women in the richest Muslim countries face more inequalities and less representation in Parliament. The implications of the study are discussed.

Social Mobility, Health and Wellbeing in Poland

Recently there has been a surge of interest in the consequences of intergenerational social mobility on individuals' health and wellbeing outcomes. However, studies on the effects of social mobility on health, using high-quality panel survey data, have almost exclusively been conducted in Western welfare democracies. To account for this gap, and using empirical data from one of the largest and most eventful post-communist countries, Poland, in this study we investigate how individuals' origin and destination socio-economic position and social mobility are linked to self-rated health and reported psychological wellbeing. We use the Polish Panel Survey (POLPAN) data to construct self-rated health and psychological wellbeing measures, origin, destination and occupational class mobility variables, and account for an extensive set of sociodemographic determinants of health. We employ diagonal reference models to distinguish social mobility effects from origin and destination effects, and account for possible health selection mechanisms. Our results suggest that there is an occupational class gradient in health in Poland and that both parental and own occupational class matter for individual health outcomes. We also find a positive reported psychological wellbeing effect for upward social mobility from the working to the professional class.

Women's decision-making autonomy and utilization of antenatal, natal and post-natal healthcare services: Insights from Tajikistan's national surveys

BACKGROUND

The purpose of this article is to investigate the link between women's autonomy and their utilization of antenatal, natal and post-natal healthcare services in Tajikistan. Previous studies focused only on a single dimension of such services, for instance, utilization of antenatal care. By contrast, we explore antenatal, natal and post-natal healthcare services utilization using the number of indicator for each of the dimensions.

METHODS

Data come from two national surveys that were conducted in 2012 and 2017. The target population is women of reproductive age (16-49) who were married or cohabitating with a partner (N = 7540). Several regression models were estimated to quantify association between women's autonomy and the utilization.

RESULTS

Lack of women's autonomy is associated with a lower probability of: (a) having had at least four antenatal check-ups during pregnancy, (b) beginning first antenatal check-up early, (c) delivering in a healthcare facility, (d) having the skilled attendance during pregnancy, (e) having a mother post-delivery check-up, and (f) having a child post-delivery check-up. The size effect of women's autonomy is stronger than that of well-developed precursors of utilization such as poverty and mothers' education.

CONCLUSION

Women autonomy should be improved to achieve higher rates of child and maternal healthcare utilization. Studies of maternal and child healthcare utilization should control explicitly for women's autonomy.

Inequality, validity of self-reported height, and its implications for BMI estimates: An analysis of randomly selected primary sampling units' data

Any systematic errors in self-reported height, a measure commonly used in health research, may produce biased BMI estimates and reduce the effectiveness of public health interventions. To our knowledge, none of the studies evaluating the validity of self-reported height explore this issue in cross-national settings. This study analyses data on a sub-set of 750 individuals with information on self-reported and measured height from the Life in Transition Survey (LITS) conducted in 34 European and Central Asian countries in 2016. We make use of the unique design of LITS in which all respondents reported their height, but in one randomly selected primary sampling unit in each country the actual height was also measured, using a portable stadiometer. In addition to analysing individual-level characteristics, using a multiply imputed dataset for missing data and multilevel mixed-effects regressions, we test if macro-level factors are associated with respondents under- or over-reporting their height. We find that on the aggregate level self-reported and measured height estimates are not statistically different, but some socio-demographic groups such as women and those who live in rural areas are likely to overestimate their height. Adjusting for this bias would lead to the higher estimates of the proportion of individuals who are overweight and obese. The results from multilevel analysis also show that macro-level factors do not per se explain the likelihood of misreporting height, but rather some of the effects of individual characteristics are moderated by income inequality.

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Systematic errors in self-reported height may produce biased BMI estimates.

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On the aggregate level self-reported and measured height are indistinguishable.

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Women and those who live in rural areas are likely to overestimate their height.

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This bias can increase the estimated population BMI level by 2.1%.

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Some of the effects of individual variables are moderated by income inequality.