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Mental health-related stigma is poorly understood, and minimal research has focused on the experience of stigma from children's perspectives. We sought to investigate whether children treated as inpatients and outpatients had different experiences of stigma over time and whether stigma is linked to global functioning cross-sectionally and longitudinally. Children, aged 8–12 years, receiving treatment within a national specialist mental health inpatient unit were matched for age, gender and diagnosis with children receiving outpatient treatment (N = 64). Validated measures of stigma, global functioning and symptom severity were collected at the start of treatment and upon discharge from the ward for inpatients, and a similar timeframe for their individually matched outpatients. Latent change score models and partial correlation coefficients were employed to test our hypotheses. No differences in most aspects of stigma between children treated as inpatients and outpatients were observed, except for personal rejection at baseline and self-stigma at follow-up favouring outpatients. A reduction in stigma was observed in societal devaluation, personal rejection and secrecy for inpatients, and self-stigma and secrecy for outpatients between the two assessments. Societal devaluation declined at a higher rate among inpatients compared to outpatients, albeit reductions in stigma were comparable for all remaining measures. No association was found between the change in stigma and change in global functioning. Future research may offer further insights into the development and maintenance of stigma and identify key targets for anti-stigma interventions to reduce its long-term impact. [ABSTRACT FROM AUTHOR]

Multiple studies across global populations have established the primary symptoms characterising Coronavirus Disease 2019 (COVID-19) and long COVID. However, as symptoms may also occur in the absence of COVID-19, a lack of appropriate controls has often meant that specificity of symptoms to acute COVID-19 or long COVID, and the extent and length of time for which they are elevated after COVID-19, could not be examined. We analysed individual symptom prevalences and characterised patterns of COVID-19 and long COVID symptoms across nine UK longitudinal studies, totalling over 42,000 participants. Conducting latent class analyses separately in three groups ('no COVID-19', 'COVID-19 in last 12 weeks', 'COVID-19 > 12 weeks ago'), the data did not support the presence of more than two distinct symptom patterns, representing high and low symptom burden, in each group. Comparing the high symptom burden classes between the 'COVID-19 in last 12 weeks' and 'no COVID-19' groups we identified symptoms characteristic of acute COVID-19, including loss of taste and smell, fatigue, cough, shortness of breath and muscle pains or aches. Comparing the high symptom burden classes between the 'COVID-19 > 12 weeks ago' and 'no COVID-19' groups we identified symptoms characteristic of long COVID, including fatigue, shortness of breath, muscle pain or aches, difficulty concentrating and chest tightness. The identified symptom patterns among individuals with COVID-19 > 12 weeks ago were strongly associated with self-reported length of time unable to function as normal due to COVID-19 symptoms, suggesting that the symptom pattern identified corresponds to long COVID. Building the evidence base regarding typical long COVID symptoms will improve diagnosis of this condition and the ability to elicit underlying biological mechanisms, leading to better patient access to treatment and services. [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]