Housing, sanitation and living conditions affecting SARS-CoV-2 prevention interventions in 54 African countries.

The feasibility of non-pharmacological public health interventions (NPIs) such as physical distancing or isolation at home to prevent severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) transmission in low-resource countries is unknown. Household survey data from 54 African countries were used to investigate the feasibility of SARS-CoV-2 NPIs in low-resource settings. Across the 54 countries, approximately 718 million people lived in households with ⩾6 individuals at home (median percentage of at-risk households 56% (95% confidence interval (CI), 51% to 60%)). Approximately 283 million people lived in households where ⩾3 people slept in a single room (median percentage of at-risk households 15% (95% CI, 13% to 19%)). An estimated 890 million Africans lack on-site water (71% (95% CI, 62% to 80%)), while 700 million people lacked in-home soap/washing facilities (56% (95% CI, 42% to 73%)). The median percentage of people without a refrigerator in the home was 79% (95% CI, 67% to 88%), while 45% (95% CI, 39% to 52%) shared toilet facilities with other households. Individuals in low-resource settings have substantial obstacles to implementing NPIs for mitigating SARS-CoV-2 transmission. These populations urgently need to be prioritised for coronavirus disease 2019 vaccination to prevent disease and to contain the global pandemic.

Sex differences in dementia: on the potentially mediating effects of educational attainment and experiences of psychological distress.

BACKGROUND: Old-age dementias are known to disproportionally affect women as well as individuals with low educational attainment. The higher lifetime risk of dementia among women is usually attributed to their longer life expectancy. However, the impact of sex, and subsequent gender inequity, is likely to be more multifaceted than this explanation implies. Not least because of historical inequities in access to education between the sexes and the gender and socio-economic gradients in risk factors such as stress, depression and social isolation. Consequently, the present study sought to test whether differences in educational attainment and experiences of general psychological distress mediate the association between female sex and dementia. METHODS: The study utilizes data obtained through the Gothenburg H70 Birth Cohort Study and the Prospective Populations Study on Women (n = 892). Data were analysed using Confirmatory Factor Analysis (CFA) and Structural Equation Modelling (SEM) with Weighted Least Squares Means and Variance adjusted (WLSMV) estimation. General psychological distress was indicated by a latent variable and constructed from five manifest items (previous depression, stress, self-esteem, chronic loneliness and satisfaction with social situation) that were all measured at baseline. RESULTS: While the results could not corroborate that education directly mediates the effect of sex on dementia, level of distress was predicted by both female sex (0.607, p < .001) and education (- 0.166, p < .01) and, in turn, shown to be significantly associated with dementia (0.167, p < .05), also after controlling for confounders. When time from baseline to diagnosis was increased through sequential exclusion of dementia cases, the effect of distress on dementia was no longer significant. CONCLUSION: The overall findings suggest that social (dis) advantage predicts general psychological distress, which thereby constitutes a potential, and rarely acknowledged, pathway between female sex, education, and dementia. They further underline the importance of attending to both education and distress as 'gendered' phenomena when considering the nature of their associations with dementia. However, the possibility of reverse causality bias must be acknowledged and the need for longitudinal studies with longer follow-up stressed.

The impact of social networks and APOE ε4 on dementia among older adults: tests of possible interactions.

Objectives: Emerging evidence suggests that social networks may protect against the development of dementia among older adults. In this study we analysed the association between social networks, the apolipoprotein E (APOE) ε4 allele, and dementia. We also investigated whether there were gender-specific patterns in this respect.Method: The analyses used population-based longitudinal data from Gothenburg, Sweden: the H70 Birth Cohort Study and the Prospective Population Study on Women (PPSW). A total of 580 individuals born in 1930 underwent semi-structured neuropsychiatric examinations in 2000-2001. Follow-up examinations were carried out in 2005-2006 and 2009-2010. The timing of dementia onset was analysed using Cox proportional hazards regression.Results: The presence of the APOE ε4 allele affected the risk of developing dementia in both genders. Among women, distant social networks had a protective effect on dementia, while among men the significant associations between close social networks and dementia did not remain after controlling for covariates. Significant interactions between social networks and the APOE ε4 allele were not found.Conclusion: Strong social networks do not seem to moderate the increased risk of dementia implied by the APOE ε4 allele. Nevertheless, our results underline the importance of strong social networks in postponing dementia onset and indicate that their impact may differ among men and women.

Work despite poor health? A 14-year follow-up of how individual work accommodations are extending the time to retirement for workers with poor health conditions.

Given many OECD countries' efforts to extend their citizens' working years, research underscores the importance of work accommodations to maintain older workers and enable them to work despite poor health or declines in physical functions. Nevertheless, few studies have investigated the associations between poor health conditions and opportunities to accommodate work in accordance with individual needs and preferences. In this study, we differentiate between three types of poor health conditions (disease, illness, or sickness). We examine the separate effects of these health conditions as well as of possibilities for work accommodations (working hours, pace, planning), on time to retirement. Additionally, we examine the potentially joint effect of poor health and low opportunities for work accommodations. The analyses are based on a representative sample of 1143 Swedish workers from Panel Survey of Ageing and the Elderly (PSAE) with a baseline (2002/2003) age of 55-64 years. Using complementary register data on income, we followed the labor market activity of these individuals until the end of 2015. We employed Cox proportional hazard regression to estimate the time to retirement and adjusted for demographical, socio-economic, and work-related covariates. In comparison to those with good health, having disease, illness, and sickness is associated with a higher risk of earlier exit from the labor market, and the joint effect of poor health and low opportunities for work accommodations increases this risk. High influence to accommodate work while having a disease or sickness supports work participation, while these patterns of associations were not equally consistent for individuals with illness. This study highlights the importance of increasing older individuals' opportunities to make their own work accommodations, particularly in the presence of disease and sickness, and thereby combat the negative effects of poor health on time to retirement.

Socioeconomic status, gender and dementia: The influence of work environment exposures and their interactions with APOE ɛ4.

It is a well-established fact that unfavourable social and economic conditions have a negative impact on health and longevity. Recent findings suggest that this is also true of age-related dementias. Yet most common indicators of socioeconomic status (SES) say very little about the actual mechanisms at play in disease development. The present paper explores five work exposure characteristics, all of which have a clear social gradient, that could potentially shed further light on the relationship between SES and dementia. Specifically, it investigates whether these exposures could moderate the impact of a well-known genetic risk factor: the APOE ɛ4 allele. The empirical analyses are based on data from a Swedish population study (n = 1019). Main occupation was linked to The Job Exposure Matrix to estimate the individuals' exposure to the following work environment factors: work control, support, psychological demands, physical demands and job hazards. All analyses were conducted using binary logistic regression and focused specifically on gene-work exposure interactions. A significant main effect of work control on dementia risk was detected for males (OR = 0.68; p< 0.05), but not for females. However, control was found to significantly moderate the effect of APOE ɛ4 in both genders, albeit in different ways. These findings do not only underscore the importance of considering interactions between social and genetic risk factors to better understanding multifactorial diseases such as dementia. They also propose that gender- and class-based inequities interact, and hence must be considered simultaneously, also in relation to this particular disease.

What Is the Association between Absolute Child Poverty, Poor Governance, and Natural Disasters? A Global Comparison of Some of the Realities of Climate Change.

The paper explores the degree to which exposure to natural disasters and poor governance (quality of governance) is associated with absolute child poverty in sixty-seven middle- and low-income countries. The data is representative for about 2.8 billion of the world´s population. Institutionalist tend to argue that many of society's ills, including poverty, derive from fragile or inefficient institutions. However, our findings show that although increasing quality of government tends to be associated with less poverty, the negative effects of natural disasters on child poverty are independent of a country´s institutional efficiency. Increasing disaster victims (killed and affected) is associated with higher rates of child poverty. A child´s estimated odds ratio to be in a state of absolute poverty increases by about a factor of 5.7 [95% CI: 1.7 to 18.7] when the average yearly toll of disasters in the child´s country increases by one on a log-10 scale. Better governance correlates with less child poverty, but it does not modify the correlation between child poverty and natural disasters. The results are based on hierarchical regression models that partition the variance into three parts: child, household, and country. The models were cross-sectional and based on observational data from the Demographic Health Survey and the Multiple Indicator Cluster Survey, which were collected at the beginning of the twenty-first millennium. The Sustainable Development Goals are a principle declaration to halt climate change, but they lack a clear plan on how the burden of this change should be shared by the global community. Based on our results, we suggest that the development agencies should take this into account and to articulate more equitable global policies to protect the most vulnerable, specifically children.

Correction: What Is the Association between Absolute Child Poverty, Poor Governance, and Natural Disasters? A Global Comparison of Some of the Realities of Climate Change.

[This corrects the article DOI: 10.1371/journal.pone.0153296.].

Leaving the labour market: the impact of exit routes from employment to retirement on health and wellbeing in old age.

The study analyses whether and to what degree specific routes into retirement affect older people, i.e. the relationship between heterogeneous exit patterns and post-retirement health and wellbeing. We used longitudinal data from two points in time; data related to t0 were collected in 1993, 1994, 1995 and 1996 and data related to t1 were collected in 2002 and 2003 (N = 589). We focused on older people (55+ at t1) who were employed at t0 and retired at t1. We used confirmative factor analysis to identify identical measures of health and wellbeing at both t0 and t1. Hence, we were able to control for pre-retirement health and wellbeing when evaluating the effects of different exit routes. These routes were defined as dependence on incomes from sickness benefit, disability pension, part-time pension, unemployment insurance and active labour market programmes. Our initial structural equation model showed a clear relation between exit routes and post-retirement wellbeing. People who prior to retirement were pushed into social benefit programmes related to health and unemployment were significantly worse off as retirees, especially those with health-related benefits. However, these relationships disappeared once pre-retirement wellbeing was added to the model. Our main conclusion is that post-retirement wellbeing first and foremost is a consequence of accumulation of advantages and disadvantages during the life course. Both labour market exit routes and post-retirement wellbeing can be seen as outcomes of this process. There are no independent effects of the retirement process. Judging from our findings, there is no reason to believe that involvement in social security programmes allowing early retirement on health grounds has any additional negative consequences for health and wellbeing.

A longitudinal analysis of the relationship between changes in socio-economic status and changes in health.

In this paper we contribute to discussion on the relationship between different aspects of socio-economic status (SES) and health. Separating different aspects of SES facilitates the specification of a structural relationship between SES indicators and morbidity. Longitudinal data and the utilization of growth curve modelling enable an empirical analysis of the direct relationship between changes over time in SES indicators and changes in morbidity. Our empirical analysis is based on panel data (N = 2976) derived from the annual Swedish Survey of Living Conditions. The panel, which consists of respondents that at the first panel wave were between 31 and 47 years old, is followed for 16 years, starting in 1979. Data are gathered at three points of time. A growth curve model is set up using structural equation modelling. The structural relationship and changes over time are simultaneously estimated. It is shown that in relation to health occupational position is crucial, canalising the effects of class of origin and education. More prestigious jobs are related to initially good health and to a less rapid deterioration in health. At the same time initial health affects occupational mobility, confirming a health selection into less prestigious jobs. It is also shown that change of occupation and income are related to change in health. The analysis confirms a strong relationship between SES and morbidity and shows that initial SES affects later changes in morbidity, i.e., a causal relationship exists between SES and morbidity. But, the analysis also demonstrates the existence of selection effects, meaning that initial morbidity causes less favourable changes in SES. It is finally revealed that changes in occupational prestige and income changes co-vary with changes in morbidity. Hence, the analysis provides basic information necessary to make any assumption about causality and selection in relation to SES and health.