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The COVID-19 pandemic exposes and amplifies pre-existing inequalities even in places with relatively well-controlled outbreaks such as Hong Kong. This study aimed to explore whether the socioeconomically disadvantaged fare worse via various types of worry in terms of their mental health and well-being. Between September and October 2020, 1067 adults in Hong Kong were recruited via a cross-sectional population-wide telephone survey. The inter-relationship between deprivation, types of worry, mental health disorders, and subjective well-being was assessed using structural equation modelling. Results showed significant total effects of deprivation on worries about being infected (p = 0.002), economic activities and livelihood (p < 0.001), and personal savings (p < 0.001), as well as mental health disorders (p < 0.001) and subjective well-being (p < 0.001). Specifically, worry about economic activities and livelihood partly mediated the total effect of deprivation on mental health disorders (p = 0.004), whereas worry about personal savings and worry about economic activities and livelihood partially mediated the total effect of deprivation on subjective well-being (p = 0.007 and 0.002, respectively). Socioeconomic inequality, particularly in mental health and well-being, could be exacerbated via people's economic concerns during the pandemic, which was largely induced by the COVID-19 containment measures rather than the pandemic per se given the relatively low COVID-19 incidence in Hong Kong., (© 2021. The Author(s).)

Self-perceptions of own social position are potentially a key aspect of socioeconomic inequalities in health, but their association with mortality remains poorly understood. We examined whether subjective social status (SSS), a measure of the self-perceived element of social position, was associated with mortality and its role in the associations between objective socioeconomic position (SEP) measures and mortality. We used Cox regression to model the associations between SSS, objective SEP measures and mortality in a sample of 9972 people aged ≥ 50 years from the English Longitudinal Study of Ageing over a 10-year follow-up (2002-2013). Our findings indicate that SSS was associated with all-cause, cardiovascular, cancer and other mortality. A unit decrease in the 10-point continuous SSS measure increased by 24 and 8% the mortality risk of people aged 50-64 and ≥ 65 years, respectively, after adjustment for age, sex and marital status. The respective estimates for cardiovascular mortality were 36 and 11%. Adjustment for all covariates fully explained the association between SSS and cancer mortality, and partially the remaining associations. In people aged 50-64 years, SSS mediated to a varying extent the associations between objective SEP measures and all-cause mortality. In people aged ≥ 65 years, SSS mediated to a lesser extent these associations, and to some extent was associated with mortality independent of objective SEP measures. Nevertheless, in both age groups, wealth partially explained the association between SSS and mortality. In conclusion, SSS is a strong predictor of mortality at older ages, but its role in socioeconomic inequalities in mortality appears to be complex.

Background: Few studies have examined the influence of socioeconomic status on recovery from poor physical and mental health., Methods: Prospective study with four consecutive periods of follow-up (1991-2011) of 7564 civil servants (2228 women) recruited while working in London. Health was measured by the Short-Form 36 questionnaire physical and mental component scores assessed at beginning and end of each of four rounds. Poor health was defined by a score in the lowest 20% of the age-sex-specific distribution. Recovery was defined as changing from a low score at the beginning to a normal score at the end of the round. The analysis took account of retirement status, health behaviours, body mass index and prevalent chronic disease., Results: Of 24 001 person-observations in the age range 39-83, a total of 8105 identified poor physical or mental health. Lower grade of employment was strongly associated with slower recovery from poor physical health (OR 0.73 (95% CI 0.59 to 0.91); trend P=0.002) in age, sex and ethnicity-adjusted analyses. The association was halved after further adjustment for health behaviours, adiposity, systolic blood pressure (SBP) and serum cholesterol (OR 0.85 (0.68 to 1.07)). In contrast, slower recovery from poor mental health was associated robustly with low employment grade even after multiple adjustment (OR 0.74 (0.59 to 0.93); trend P=0.02)., Conclusions: Socioeconomic inequalities in recovery from poor physical health were explained to a considerable extent by health behaviours, adiposity, SBP and serum cholesterol. These risk factors explained only part of the gradient in recovery for poor mental health., Competing Interests: Competing interests: EJB is supported by the BHF (RG/16/11/32334) and the European Commission (FP7 project no. 613598). MK is supported by the MRC (K013351) and NordForsk, the Nordic Programme on Health and Welfare., (© Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2018. All rights reserved. No commercial use is permitted unless otherwise expressly granted.)

Objectives: Early old age and the period around retirement are associated with a widening in socioeconomic inequalities in health. There are few studies that address the stress-biological factors related to this widening. This study examined whether retirement is associated with more advantageous (steeper) diurnal cortisol profiles, and differences in this association by occupational grade., Method: Data from the 7th (2002-2004), 8th (2006), and 9th (2007-09) phases of the London-based Whitehall II civil servants study were analysed. Thousand hundred and forty three respondents who were employed at phase 8 (mean age 59.9 years) and who had salivary cortisol measured from five samples collected across the day at phases 7 and 9 were analysed., Results: Retirement was associated with steeper diurnal slopes compared to those who remained in work. Employees in the lowest grades had flatter diurnal cortisol slopes compared to those in the highest grades. Low-grade retirees in particular had flatter diurnal slopes compared to high-grade retirees., Discussion: Socioeconomic differences in a biomarker associated with stress increase, rather than decrease, around the retirement period. These biological differences associated with transitions into retirement for different occupational groups may partly explain the pattern of widening social inequalities in health in early old age., (© The Author 2017. Published by Oxford University Press on behalf of The Gerontological Society of America.)

Background: Eastern European countries have some of the highest rates of cardiovascular disease (CVD) mortality, much of which cannot be adequately accounted for by conventional CVD risk factors. Psychosocial and socioeconomic factors may affect risk of CVD, but relatively few studies on this issue have been undertaken in Eastern Europe. We investigated whether various psychosocial factors are associated with CVD mortality independently from each other and whether they can help explain differences in CVD mortality between Eastern European populations., Methods: Participants were from the Health, Alcohol and Psychological factors in Eastern Europe (HAPIEE) cohort study in Russia, Poland and the Czech Republic, including a total of 20,867 men and women aged 43-74 years and free of CVD at baseline examination during 2002-2005. Participants were followed-up for CVD mortality after linkage to national mortality registries for a median of 7.2 years., Results: During the follow-up, 556 participants died from CVD. After mutual adjustment, six psychosocial and socioeconomic factors were associated with increased risk of CVD death: unemployment, low material amenities, depression, being single, infrequent contacts with friends or relatives. The hazard ratios [HRs] for these six factors ranged between 1.26 [95% confidence interval 1.14-1.40] and 1.81 [95% confidence interval 1.24-2.64], fully adjusted for each other, and conventional cardiovascular risk factors. Population-attributable fractions ranged from 8% [4%-13%] to 22% [11%-31%] for each factor, when measured on average across the three cohorts. However, the prevalence of psychosocial and socioeconomic risk factors and their HRs were similar between the three countries. Altogether, these factors could not explain why participants from Russia had higher CVD mortality when compared to participants from Poland/Czech Republic. Limitations of this study include measurement error that could lead to residual confounding; and the possibilities for reverse causation and/or unmeasured confounding from observational studies to lead to associations that are not causal in nature., Conclusions: Six psychosocial and socioeconomic factors were associated with cardiovascular mortality, independent of each other. Differences in mortality between cohorts from Russia versus Poland or Check Republic remained unexplained.

Background: Socioeconomic disadvantage is a risk factor for dementia, but longitudinal studies suggest that it does not affect the rate of cognitive decline. Our objective is to understand the manner in which socioeconomic disadvantage shapes dementia risk by examining its associations with midlife cognitive performance and cognitive decline from midlife to old age, including cognitive decline trajectories in those with dementia., Methods and Findings: Data are drawn from the Whitehall II study (N = 10,308 at study recruitment in 1985), with cognitive function assessed at 4 waves (1997, 2002, 2007, and 2012). Sociodemographic, behavioural, and cardiometabolic risk factors from 1985 and chronic conditions until the end of follow-up in 2015 (N dementia/total = 320/9,938) allowed the use of inverse probability weighting to take into account data missing because of loss to follow-up between the study recruitment in 1985 and the introduction of cognitive tests to the study in 1997. Generalized estimating equations and Cox regression were used to assess associations of socioeconomic markers (height, education, and midlife occupation categorized as low, intermediate, and high to represent hierarchy in the socioeconomic marker) with cognitive performance, cognitive decline, and dementia (N dementia/total = 195/7,499). In those with dementia, we examined whether retrospective trajectories of cognitive decline (backward timescale) over 18 years prior to diagnosis differed as a function of socioeconomic markers. Socioeconomic disadvantage was associated with poorer cognitive performance (all p < 0.001). Using point estimates for the effect of age, the differences between the high and low socioeconomic groups corresponded to an age effect of 4, 15, and 26 years, for height, education, and midlife occupation, respectively. There was no evidence of faster cognitive decline in socioeconomically disadvantaged groups. Low occupation, but not height or education, was associated with risk of dementia (hazard ratio [HR] = 2.03 [95% confidence interval (CI) 1.23-3.36]) in an analysis adjusted for sociodemographic factors; the excess risk was unchanged after adjustment for cognitive decline but was completely attenuated after adjustment for cognitive performance. In further analyses restricted to those with dementia, retrospective cognitive trajectories over 18 years prior to dementia diagnosis showed faster cognitive decline in the high education (p = 0.006) and occupation (p = 0.001) groups such that large differences in cognitive performance in midlife were attenuated at dementia diagnosis. A major limitation of our study is the use of electronic health records rather than comprehensive dementia ascertainment., Conclusions: Our results support the passive or threshold cognitive reserve hypothesis, in that high cognitive reserve is associated with lower risk for dementia because of its association with cognitive performance, which provides a buffer against clinical expression of dementia.

The evidence examining the relationship between specific social factors and early childhood health and developmental outcomes has never been systematically collated or synthesized. This review aims to identify the key social factors operating at the household, neighborhood, and country levels that drive inequalities in child health and development. Medline and CHICOS (a European child-cohort inventory) were systematically searched to identify all European studies published within the past 10 y. 13,270 Medline articles and 77 European child cohorts were searched, identifying 201 studies from 32 European countries. Neighborhood deprivation, lower parental income/wealth, educational attainment, and occupational social class, higher parental job strain, parental unemployment, lack of housing tenure, and household material deprivation were identified as the key social factors associated with a wide range of adverse child health and developmental outcomes. Similar association trends were observed across most European countries, with only minor country-level differences. Multiple adverse social factors operating at both the household and neighborhood levels are independently associated with a range of adverse health and developmental outcomes throughout early childhood. The social gradient in health and developmental outcomes observed throughout the remaining life course may be partly explained by gradients initiated in early childhood.

Background: Education and wealth may have different associations with female obesity but this has not been investigated in detail outside high-income countries. This study examines the separate and inter-related associations of education and household wealth in relation to obesity in women in a representative sample of low- and middle-income countries (LMICs)., Methods: The seven largest national surveys were selected from a list of Demographic and Health Surveys (DHS) ordered by decreasing sample size and resulted in a range of country income levels. These were nationally representative data of women aged 15-49 years collected in the period 2005-2010. The separate and joint effects, unadjusted and adjusted for age group, parity, and urban/rural residence using a multivariate logistic regression model are presented., Results: In the four middle-income countries (Colombia, Peru, Jordan, and Egypt), an interaction was found between education and wealth on obesity (P-value for interaction <0.001). Among women with no/primary education the wealth effect was positive whereas in the group with higher education it was either absent or inverted (negative). In the poorer countries (India, Nigeria, Benin), there was no evidence of an interaction. Instead, the associations between each of education and wealth with obesity were independent and positive. There was a statistically significant difference between the average interaction estimates for the low-income and middle-income countries (P<0.001)., Conclusions: The findings suggest that education may protect against the obesogenic effects of increased household wealth as countries develop. Further research could examine the factors explaining the country differences in education effects.

Background: Childhood and current economic difficulties are associated with physical health. However, evidence concerning the factors underlying these associations is sparse. This study examines the contribution of a range of social and behavioural factors to associations between economic difficulties and physical functioning., Methods: We used comparable data on middle-aged white-collar employees from the Finnish Helsinki Health Study cohort (n = 3843) and the British Whitehall II Study cohort (n = 3052). Our health outcome was physical functioning measured by the SF-36 Physical Component Summary. Relative indices of inequality (RII), calculated using logistic regression analysis, were used to examine associations between economic difficulties and physical functioning, and the contribution of further socio-economic circumstances, health behaviours, living arrangements and work-family conflicts to these associations., Results: In age-adjusted models, childhood (RII = 1.76-3.06) and current (RII = 1.79-3.03) economic difficulties were associated with poor physical functioning in both cohorts. Further adjusting for work-family conflicts attenuated the associations of current economic difficulties with physical functioning in both cohorts, and also those of childhood economic difficulties in the Helsinki cohort. Adjustments for other socio-economic circumstances also caused some attenuation, while health behaviours and living arrangements had small or negligible effects., Conclusions: Conflicts between work and family contribute to the associations of economic difficulties with physical functioning among employees from Finland and Britain. This suggests that supporting people to cope with economic difficulties, and efforts to improve the balance between paid work and family may help employees maintain good physical functioning.

Background: Little is known about the associations between non-response to follow-up surveys and mortality, or differences in these associations by socioeconomic position in studies with repeat data collections., Methods: The Whitehall II study of socioeconomic inequalities in health provided response status from five data collection surveys; Phase 1 (1985-88, n = 10 308), Phase 5 (1997-99, n = 6533), and all-cause mortality to 2006. Odd-numbered phases included a medical examination in addition to a questionnaire., Results: Non-response to baseline and to follow-up phases that included a medical examination was associated with a doubling of the mortality hazard in analyses adjusted for age and sex. Compared with complete responders, responders who missed one or more phases, but completed the last possible phase before they died, had a 38% excess risk of mortality. However, those who missed one or more phases including the last possible phase before death had an excess risk of 127%. There was no evidence that these associations differed by socioeconomic position., Conclusion: In studies with repeat data collections, non-response to follow-up is associated with the same doubling of the mortality risk as non-response to baseline; an association that is not modified by socioeconomic position.

Objective: The metabolic syndrome is more common in socially disadvantaged groups. Inequalities in household wealth are currently widening and may contribute to the increasing prevalence of the metabolic syndrome., Research Design and Methods: This was a cross-sectional analysis of 1,509 women and 4,090 men (aged 45.2-68.9 years) of an occupational cohort study of 20 civil service departments located in London, U.K. Components of the metabolic syndrome were measured in 1997-1999 and defined using a modified World Health Organization definition., Results: Own income, household income, and wealth were each strongly and inversely associated with the metabolic syndrome in both sexes (P(trend) < 0.001). Within each group of household wealth, the prevalence of the metabolic syndrome was higher in men than in women. Sex differences became smaller with decreasing household wealth, with the prevalence of the metabolic syndrome rising from 12.0 and 5.7% in the wealthiest men and women, respectively, to corresponding values of 23.6 and 20.1% in the poorest group. The odds ratio (95% CI) associated with each decrease of one category in household wealth was 1.25 (1.03-1.50) in men and 1.69 (1.18-2.41) in women, adjusting for age, household members, occupational grade, education, father's social class, personal and household income, ethnic group, smoking, alcohol intake, diet, and physical activity., Conclusions: Household wealth, a measure of assets accumulated over decades and generations, is strongly and inversely associated with the metabolic syndrome. Future research should explore the potential mechanisms by which wealth inequalities are associated with the metabolic syndrome.

Background: Laboratory and clinical studies suggest that the autonomic nervous system responds to chronic behavioral and psychosocial stressors with adverse metabolic consequences and that this may explain the relation between low social position and high coronary risk. We sought to test this hypothesis in a healthy occupational cohort., Methods and Results: This study comprised 2197 male civil servants 45 to 68 years of age in the Whitehall II study who were undergoing standardized assessments of social position (employment grade) and the psychosocial, behavioral, and metabolic risk factors for coronary disease previously found to be associated with low social position. Five-minute recordings of heart rate variability (HRV) were used to assess cardiac parasympathetic function (SD of N-N intervals and high-frequency power [0.15 to 0.40 Hz]) and the influence of sympathetic and parasympathetic function (low-frequency power [0.04 to 0.15 Hz]). Low employment grade was associated with low HRV (age-adjusted trend for each modality, P< or =0.02). Adverse behavioral factors (smoking, exercise, alcohol, and diet) and psychosocial factors (job control) showed age-adjusted associations with low HRV (P<0.03). The age-adjusted mean low-frequency power was 319 ms2 among those participants in the bottom tertile of job control compared with 379 ms2 in the other participants (P=0.004). HRV showed strong (P<0.001) linear associations with components of the metabolic syndrome (waist circumference, systolic blood pressure, HDL cholesterol, triglycerides, and fasting and 2-hour postload glucose). The social gradient in prevalence of metabolic syndrome was explained statistically by adjustment for low-frequency power, behavioral factors, and job control., Conclusions: Chronically impaired autonomic function may link social position to different components of coronary risk in the general population.

The gross inequalities in health that we see within and between countries present a challenge to the world. That there should be a spread of life expectancy of 48 years among countries and 20 years or more within countries is not inevitable. A burgeoning volume of research identifies social factors at the root of much of these inequalities in health. Social determinants are relevant to communicable and non-communicable disease alike. Health status, therefore, should be of concern to policy makers in every sector, not solely those involved in health policy. As a response to this global challenge, WHO is launching a Commission on Social Determinants of Health, which will review the evidence, raise societal debate, and recommend policies with the goal of improving health of the world's most vulnerable people. A major thrust of the Commission is turning public-health knowledge into political action.

Although there has been considerable research on psychosocial working conditions and their effect on physical and mental health, there has been little research into the effects of psychosocial domestic conditions on health. The association between psychosocial working conditions (and control at work in particular) and coronary heart disease (CHD) is not as strong for women compared to men. Other research suggests that household and domestic factors may have an important effect on women's health. Some studies have shown that low control at home affects psychological well being. However, there has been little research into its effects on physical health. Furthermore, similar to results analysing low control at work, low control at home may form part of the pathways underlying social inequalities in health. The study investigates the meaning of control at home, the effect of control at home on incident CHD events and whether this explains some of the social inequalities in CHD events in men and women. Data from phases 3-5 of the Whitehall II study, London, UK, were analysed (N = 7470). The results indicate that low control at home predicts CHD among women but not among men. Furthermore, low control at home may explain part of the association between household social position and CHD among women. There is some evidence suggesting that low control at home among women results from a lack of material and psychological resources to cope with excessive household and family demands. Psychosocial domestic conditions may have a greater effect on the health of women compared with men.

As social inequalities in health continue to be a key public health problem, scientific advances in explaining these inequalities are needed. It is unlikely that there will be a single explanation of social inequalities in health. This introductory paper sets out one explanatory framework, exposure to adverse psychosocial environments during midlife, and particularly at work. We argue that exposure to an adverse psychosocial environment, in terms of job tasks, defined by high demands and low control and/or by effort-reward imbalance, elicits sustained stress reactions with negative long-term consequences for health. These exposures may be implicated in the association of socioeconomic status with health in two ways. First, these exposures are likely to be experienced more frequently among lower socioeconomic groups. Second, the size of the effects on health produced by adverse working conditions may be higher in lower status groups, due to their increased vulnerability. In this special issue, these arguments are illustrated by a collection of original contributions from collaborative research across Europe. The papers, in our view, advance the case for the robust associations between measures of adverse psychosocial environment and ill health, as they are based on comparative studies across several European countries and as they combine different types of study designs. This collaboration was enabled and supported by a European Science Foundation scientific programme on 'Social Variations in Health Expectancy in Europe'.

Goal: Assess the progress and pitfalls of current United Kingdom (U.K.) policies to reduce health inequalities., Objectives: (1) Describe the context enabling health inequalities to get onto the policy agenda in the United Kingdom. (2) Categorize and assess selected current U.K. policies that may affect health inequalities. (3) Apply the "policy windows" model to understand the issues faced in formulating and implementing such policies. (4) Examine the emerging policy challenges in the U.K. and elsewhere., Data Sources: Official documents, secondary analyses, and interviews with policymakers., Study Design: Qualitative, policy analysis., Data Collection: 2001-2002. The methods were divided into two stages. The first identified policies which were connected with individual inquiry recommendations. The second involved case-studies of three policies areas which were thought to be crucial in tackling health inequalities. Both stages involved interviews with policymakers and documentary analysis., Principal Findings: (1) The current U.K. government stated a commitment to reducing health inequalities. (2) The government has begun to implement policies that address the wider determinants. (3) Some progress is evident but many indicators remain stubborn. (4) Difficulties remain in terms of coordinating policies across government and measuring progress. (5) The "policy windows" model explains the limited extent of progress and highlights current and possible future pitfalls. (6) The U.K.'s experience has lessons for other governments involved in tackling health inequalities., Conclusions: Health inequalities are on the agenda of U.K. government policy and steps have been made to address them. There are some signs of progress but much remains to be done including overcoming some of the perverse incentives at the national level, improving joint working, ensuring appropriate measures of performance/progress, and improving monitoring arrangements. A conceptual policy model aids understanding and points to ways of sustaining and extending the recent progress and overcoming pitfalls.

Objectives: The influence of low socioeconomic status on cardiovascular disease may be mediated in part by sustained activation of stress-related autonomic and neuroendocrine processes. We hypothesized that low socioeconomic status would be associated with heightened ambulatory blood pressure and cortisol output over the working day., Methods: One hundred eight men and 94 women from the Whitehall II epidemiological cohort participated. Blood pressure and heart rate were monitored every 20 minutes over a working day and evening, and salivary cortisol was sampled on waking up and at 2-hour intervals. Measures were also taken under resting laboratory conditions. Socioeconomic status was indexed by grade of employment., Results: Resting blood pressure, heart rate, and cortisol did not differ by grade. Ambulatory systolic pressure was greater in the morning in the lower (128.9 +/- 15.7 mm Hg) than the intermediate (122.6 +/- 12.5 mm Hg) and higher grades (123.3 +/- 12.7 mm Hg) after adjustment for age, sex, smoking, and alcohol intake (p =.019). Heart rate was also raised in the morning in the lower grade participants. Differences in morning systolic pressure and heart rate were independent of concurrent physical activity. Cortisol concentration was greater in lower than higher grade men (9.54 +/- 4.1 vs. 7.38 +/- 2.8 nmol/liter, p =.008) but was more elevated in higher than lower grade women (7.84 +/- 2.5 vs. 6.35 +/- 1.9 nmol/liter, p =.014). Differences remained significant after adjustment for age, time of awakening, smoking, and alcohol intake., Conclusions: Socioeconomic differences in blood pressure and cortisol may reflect stress-related activation of biological pathways that contribute to variations in disease risk.

BackgroundThe relationship of childhood socioeconomic position (SEP) to adult cancer has been inconsistent in the literature and there has been no review summarising the current evidence focused solely on cancer outcomes.Methods and resultsWe performed a rapid review of the literature, which identified 22 publications from 13 studies, primarily in the UK and northern European countries that specifically analysed individual measures of SEP in childhood and cancer outcomes in adulthood. Most of these studies adjusted for adult SEP as a critical mediator of the relationship of interest.ConclusionsResults confirm that childhood socioeconomic circumstances have a strong influence on stomach cancer and are likely to contribute, along with adult circumstances, to lung cancer through cumulative exposure to smoking. There was also some evidence of increased risk of colorectal, liver, cervical and pancreatic cancers with lower childhood SEP in large studies, but small numbers of cancer deaths made these estimates imprecise. Gaps in knowledge and potential policy implications are presented.

Previous studies on health and socio-economic determinants of later-life labour force participation have mainly come from high-income European countries and the United States of America (USA). Findings vary between studies due to different measures of socio-economic status and labour force outcomes. This study investigated longitudinal associations of physical incapacity and wealth with remaining in paid employment after age 60 in middle- and high-income countries. Using harmonised cohort data in the USA, England, Japan, Mexico and China (N = 32,132), multilevel logistic regression was applied for main associations. The age-related probabilities of remaining in paid employment by physical incapacity and wealth were estimated using marginal effects. This study found that physical incapacity predicted lower odds of remaining in paid employment in each country. Wealth was associated with higher odds of remaining in paid employment in the USA, England and Japan, but not in Mexico. Probabilities of remaining in paid employment were high in Mexico but low in China. The absolute difference in the probability of remaining in paid employment between the richest and the poorest groups was greater in the USA than that in any other country. In the USA, England and Japan, the inverse association between physical incapacity and remaining in paid employment could be partially compensated by wealth only when physical incapacity was not severe. National policies, including considering older adults' changing capacities for job placement and prioritising the provision of supportive services for socio-economically disadvantaged older adults, developing pathways for informal workers to access social security and pension coverage, and encouraging employers to hire socio-economically disadvantaged older workers and enhancing their employability, could be facilitated. Future studies, such as exploring health and socio-economic determinants of remaining in part-time and full-time paid employment separately in more countries, and the moderating effects of relevant policies on these associations, are needed. [ABSTRACT FROM AUTHOR]

The article discusses the determinants of longevity among people in the East Asian region. Also cited are the significant improvement in the life expectancy (LE) and infant mortality rates (IMR) in the region in the late 20th century, how improved public health infrastructure and medical advancements helped prevent deaths from infectious diseases, and the secular trend of maternal smoking, body mass index (BMI), and gestational age.

Background: Hong Kong has a relatively low incidence rate of COVID-19 across the globe. Nevertheless, ethnic minorities in Hong Kong, especially South Asians (SAs) and Southeast Asians (SEAs), face numerous physical, mental, social, economic, cultural and religious challenges during the pandemic. This study explores the experiences of SA and SEA women in a predominantly Chinese metropolitan city. Methods: Ten SA and SEA women were recruited and face-to-face interviews were conducted. Questions about participants' daily life experience, physical and mental health conditions, economic situation and social interaction amid COVID-19 pandemic were asked to assess the impact of COVID-19. Results: SAs and SEAs have a distinctive family culture, and women experienced significant physical and mental impact of COVID-19 due to their unique gender role in the family. In addition to taking care of their family in Hong Kong, SA and SEA women also had to mentally and financially support family members residing in their home countries. Access to COVID-related information was restricted due to language barrier. Public health measures including social distancing imposed extra burden on ethnic minorities with limited social and religious support. Conclusions: Even when COVID-19 incidence rate is relatively low in Hong Kong, the pandemic made life even more challenging for SAs and SEAs, which is a community already struggling with language barriers, financial woes, and discrimination. This in turn could have led to greater health inequalities. Government and civil organizations should take the social determinants of health inequalities into account when implementing COVID-19-related public health policies and strategies. [ABSTRACT FROM AUTHOR]

OBJECTIVE: The Russian mortality crisis of the early 1990s attracted considerable attention, but information on possible covariates of mortality is lacking, and concerns have been raised about the validity of official mortality data. To help elucidate the determinants of mortality, we examined whether indirect demographic techniques could be used to study mortality in countries such as the Russian Federation, where mortality data are inadequate, using input data independent from official vital statistics. METHODS: A national sample of the population was interviewed (n = 1600, response rate = 67%). Participants who had ever been married (82% of the sample) were asked about the date of birth and vital status of their first spouse. Spousal mortality was then estimated indirectly for the 531 men and 710 women for whom valid data were available. FINDINGS: The estimated risk of death between the ages of 35-69 years was 57% for male spouses and 17% for female spouses. Corresponding figures derived from national data for 1990 were 52% and 25% for the Russian Federation, and 31% and 20% for the United Kingdom. According to spouses' reports, 38% of their husbands died from cardiovascular disease, 22% from cancer, and 14% from injuries and accidents. Mortality of male spouses was inversely related to the education level of their wives, and the age-adjusted hazard ratios for death from all causes, compared to primary education, were 0.77 for secondary education and 0.57 for university education (trend P = 0.03). Mortality was also inversely related to ownership of household items, but not to size of settlement, pride in Russia, membership in the Soviet Communist Party, nationality or self-assessed social status. CONCLUSIONS: Although the indirect estimates were imprecise (partly owing to the small population size of the study), and mortality in women was probably underestimated (owing to many factors, including poorer reporting by males and high male mortality), our results are nevertheless consistent with the mortality pattern observed in official mortality data. The indirect technique thus appears to be a useful tool to study the determinants of mortality in the Russian Federation and other populations, where reliable or sufficiently extensive data are not available.

Background: The aim was to examine the association of objective measures of physical functioning (PF) with education and material circumstances and the decline in PF with age by socioeconomic position (SEP). Methods: In 3,205 subjects (60-75 years) from the Czech Republic, we assessed relationship between PF, SEP, and age. Linear regression was used to assess PF measures and SEP measures. Results: Crosssectional decline in PF by age was similar in all individuals. Differences between SEP groups were similar across age groups, except for the difference in walk speed by material circumstances in men—bigger at older ages (p = .004). Men and women with the highest education were about 2 s faster at the chair rise test than those with the lowest education. Discussion: Findings suggest strong educational gradient in PF, an inconsistent role of self-assessed material circumstances, and virtually no interaction of SEP with the cross-sectional decline in PF by age. [ABSTRACT FROM AUTHOR]

The authors address social inequality and climate crisis in trying to achieve sustainable health equity. Topics discussed include factors that are structural drivers of inequities and the source of health inequities across the social gradient, reason exposure to environmental risks is inequitably increasing, and economic arrangements that result in the growth of inequalities in income and wealth in many countries.

One way of characterising the good society is one that has achieved a high degree of health equity. For a low-income country, one route to this achievement is to increase national income. But other features of society come to the fore, for low, middle and high-income societies alike. In England, my review of health inequalities highlighted: good early child development, education and life long learning, employment and working conditions, having enough income to lead a healthy life, healthy and sustainable places to live and work, taking a social determinants approach to prevention. Taking action on these requires commitment and cross-government action. [ABSTRACT FROM AUTHOR]

Introduction: Socioeconomic differences in smoking over time and across national contexts are poorly understood. We assessed the magnitude of relative and absolute social class differences in smoking in cohorts from Britain, Finland, and Japan over 5-7 years.Methods: The British Whitehall II study (n = 4350), Finnish Helsinki Health Study (n = 6328), and Japanese Civil Servants Study (n = 1993) all included employed men and women aged 35-68 at baseline in 1997-2002. Follow-up was in 2003-2007 (mean follow-up 5.1, 6.5, and 3.6 years, respectively). Occupational social class (managers, professionals and clerical employees) was measured at baseline. Current smoking and covariates (age, marital status, body mass index, and self-rated health) were measured at baseline and follow-up. We assessed relative social class differences using the Relative Index of Inequality and absolute differences using the Slope Index of Inequality.Results: Social class differences in smoking were found in Britain and Finland, but not in Japan. Age-adjusted relative differences at baseline ranged from Relative Index of Inequality 3.08 (95% confidence interval 1.99-4.78) among Finnish men to 2.32 (1.24-4.32) among British women, with differences at follow-up greater by 8%-58%. Absolute differences remained stable and varied from Slope Index of Inequality 0.27 (0.15-0.40) among Finnish men to 0.10 (0.03-0.16) among British women. Further adjustment for covariates had modest effects on inequality indices.Conclusions: Large social class differences in smoking persisted among British and Finnish men and women, with widening tendencies in relative differences over time. No differences could be confirmed among Japanese men or women.Implications: Changes over time in social class differences in smoking are poorly understood across countries. Our study focused on employees from Britain, Finland and Japan, and found relative and absolute and class differences among British and Finnish men and women. Key covariates had modest effects on the differences. Relative differences tended to widen over the 4- to 7-year follow-up, whereas absolute differences remained stable. In contrast, class differences in smoking among Japanese men or women were not found. Britain and Finland are at the late stage of the smoking epidemic model, whereas Japan may not follow the same model. [ABSTRACT FROM AUTHOR]

The article discusses an influence of disordered pathology, unhealthy behaviors and health services on societies and inequalities in power, money, and resource on social determinants and also discusses the relation between socioeconomic position and health in the society.