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Background: Research suggests that there have been inequalities in the impact of the coronavirus disease 2019 (COVID-19) pandemic and related non-pharmaceutical interventions on population mental health. We explored generational, sex, and socioeconomic inequalities during the first year of the pandemic using nationally representative cohorts from the UK. Methods: We analysed data from 26772 participants from five longitudinal cohorts representing generations born between 1946 and 2000, collected in May 2020, September–October 2020, and February–March 2021 across all five cohorts. We used a multilevel growth curve modelling approach to investigate generational, sex, and socioeconomic differences in levels of anxiety and depressive symptomatology, loneliness, and life satisfaction (LS) over time. Results: Younger generations had worse levels of mental and social wellbeing throughout the first year of the pandemic. Whereas these generational inequalities narrowed between the first and last observation periods for LS [−0.33 (95% CI −0.51 to −0.15)], they became larger for anxiety [0.22 (0.10, 0.33)]. Generational inequalities in depression and loneliness did not change between the first and last observation periods, but initial depression levels of the youngest cohort were worse than expected if the generational inequalities had not accelerated. Women and those experiencing financial difficulties had worse initial mental and social wellbeing levels than men and those financially living comfortably, respectively, and these gaps did not substantially differ between the first and last observation periods. Conclusions: By March 2021, mental and social wellbeing inequalities persisted in the UK adult population. Pre-existing generational inequalities may have been exacerbated with the pandemic onset. Policies aimed at protecting vulnerable groups are needed. [ABSTRACT FROM AUTHOR]

Our primary aim is to develop and validate a population health metric for survey-based health assessment that combines information from both self-reported and observer-measured health indicators. A secondary objective is to use this index to examine gender and socioeconomic differentials in the health status of older people. We use data from the second wave of the English Longitudinal Study of Ageing (ELSA) conducted in 2004 (N = 8,870). Information from three observer-measured and three self-reported health indicators was combined, using a latent variable modeling approach. A model that decomposed the manifest health indicators to valid health, systematic error, and random error was found to fit the data best. The latent health dimension represented somatic health, and was tested against three external criteria: height, waist-hip ratio, and smoking status. We present the Latent Index of Somatic Health (LISH), as well as a procedure for deriving the LISH in surveys employing both self- and observer-measured health indicators. Observer-measured and self-reported indicators were found to be equally biased in indexing population somatic health, with the exception of self-reports of functional limitations, which was the most reliable somatic health indicator. As expected, results showed that women had worse health than men and that socioeconomic advantage is associated with better somatic health. [ABSTRACT FROM AUTHOR]

Objective We report inequity in out-of-pocket payments (OOPP) for hospitalisation in India between 1995 and 2014 contrasting older population (60 years or more) with a population under 60 years (younger population). Methods We used data from nationwide healthcare surveys conducted in India by the National Sample Survey Organisation in 1995–96, 2004 and 2014 with the sample sizes ranging from 333,104 to 629,888. We used generalised linear and fractional response models to study the determinants of OOPP and their burden (share of OOPP in household consumption expenditure) at a constant price. The relationship between predicted OOPP and its burden with monthly per capita consumption expenditure (MPCE) quintiles and selected socioeconomic characteristics were used to examine vertical and horizontal inequities in OOPP. Results The older population had higher OOPP for hospitalisation at all time points (range: 1.15–1.48 times) and a greater increase between 1995–96 and 2014 than the younger population (2.43 vs 1.88 times). Between 1995–96 and 2014, the increase in predicted mean OOPP for hospitalisation was higher for the poorest than the richest (3.38 vs 1.85 times) older population. The increase in predicted mean OOPP was higher for the poorest (2.32 vs 1.46 times) and poor (2.87 vs 1.05 times) older population between 1995–96 and 2004 than in the latter decade. In 2014, across all MPCE quintiles, the burden of OOPP was higher for the less developed states, females, private hospitals, and non-communicable disease and injuries, more so for the older than the younger population. In 2014, the predicted absolute OOPP for hospitalisation was positively associated with MPCE quintiles; however, the burden of OOPP was negatively associated with MPCE quintiles indicating a regressive system of healthcare financing. Conclusion High OOPP for hospitalisation and greater inequity among older population calls for better risk pooling and prepayment mechanisms in India. [ABSTRACT FROM AUTHOR]

Objective: Typologies of symptom development have been used to identify individuals with different symptom development in the externalizing and internalizing domains of child psychopathology separately despite the domains' high comorbidity and shared common etiologic risk. This study identified typologies of development jointly across the 2 symptom domains in childhood and investigated their associated antecedents with a specific focus on the comparisons between overall severity of symptoms and symptom expression in one or the other domain.Method: Latent class analysis identified groups based on emotional and behavioral symptoms assessed at 3, 5, 7, and 11 years in the UK Millennium Cohort Study (N = 15,439). Different sociodemographic, family structure and environment, birth, infancy, and early childhood antecedents were examined.Results: Five groups were identified: 1. low symptoms (57%), 2. moderate behavioral (21%), 3. moderate emotional (12.5%), 4. high emotional and moderate behavioral (5.5%), and 5. high behavioral and moderate emotional (4%). Higher symptoms were predicted by larger numbers of antecedents and risk factors compared with the low symptom group and compared with moderate and high levels of symptoms in either domain (groups 5 versus 2 and 4 versus 3). Comparisons of groups with similar overall symptom levels but different dominant symptom domain (groups 2 versus 3 and 4 versus 5) indicated that apart from gender and ethnicity, there were few unique antecedents of whether children mainly internalize or externalize their symptoms.Conclusion: It is possible and useful to define groupings or typologies jointly across externalizing and internalizing symptom development in childhood. Although numerous antecedents predict the experience of symptoms, there are few unique antecedents that differentiate individuals with similarly high levels of psychopathology expressed mainly as internalizing or externalizing symptoms. Identification of at-risk children and delivery of early intervention might benefit from a decreased focus on symptom domain with possible downstream effects through the life course for most common psychiatric disorders. [ABSTRACT FROM AUTHOR]