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Collecting biological data in representative surveys is becoming more common due to their potential to inform research and policy. Nevertheless, using nurses to collect these data can lead to unintended effects. In this paper, we investigate how nurses influence the non-response process by looking at five waves of data coming from two surveys in the UK: Understanding Society and the English Longitudinal Study of Ageing. We find that nurses explain between 5 and 14% of the variance in non-response to biological data collection. We also find that older nurses are more successful in obtaining cooperation and consent to biological data collection and nurses with more survey experience are more likely to successfully collect blood samples. Finally, we show that including nurse characteristics in non-response weighting models leads to modest changes in population estimates of biological markers.

Life-course theories on how social relationships affect mental health are limited in causal claims. The restrictions in social contact during the coronavirus pandemic provided a natural experiment that modified the frequency of in-person contact and allowed us to estimate the effect of changes in in-person social contact frequency on mental health in four large nationally representative age-cohorts of adults living in the UK. There was consistent evidence of a small but statistically significant effect of less frequent social contact on anxiety-depression. Online modes of social contact did not compensate for the restrictions in in-person social contact during the pandemic. Young adults who increased their online social media frequency during the pandemic experienced a deterioration in mental health. Life-course theories cannot ignore the importance of the mode of social contact for social relationships, especially during young adulthood. [ABSTRACT FROM AUTHOR]

Understanding longitudinal patterns of rural–urban mental health disparities is vital for effective intervention and policy development in China. However, few studies have estimated separate effects of birth-cohort and ageing and examined the role of community resources on health inequalities. Drawing data from the China Health and Retirement Longitudinal Study (2011–2018), this study employed multilevel modelling to identify the mental health trajectories of rural, peri-urban, urban older adults by cohort and the community effects. The changes in the mental health gap between rural, peri-urban and urban older adults over time varied by birth cohorts. Among younger cohorts aged under 65, the mental health disparities between rural, peri-urban and urban residents increased as they got older. Underdeveloped community infrastructure greatly explained the rural health disadvantage. The study indicates increasing rural–urban health disparities at the onset of later life. Improving community infrastructure in rural and peri-urban areas is vital to minimise rural–urban health gaps. [ABSTRACT FROM AUTHOR]

Background Previous research has shown older adults experience dynamic changes in frailty status. This study aimed to determine the occurrence of sustained frailty remission and how remission is associated with falls risk. Methods Participants who contributed data to the analysis were in the English Longitudinal Study of Ageing from Waves 1 to 8 (2002–2017). Frailty was defined across waves using the frailty index and categorised into robust, pre-frail and frail. We classified participants who improved their frailty category from Wave 1 (2002) to Wave 2 (2004) and sustained/improved category again into Wave 3 (2006) and compared them with those who were either robust or frail across Waves 1–3. Cox proportional hazard modelling was used to determine the risk of incident falls reported at Waves 4–8, with results expressed as hazard ratios and 95% confidence intervals. Results Of 2,564 participants, 389 (15·2%) improved frailty category and sustained this during Waves 2–3, 1,489 (58·1%) remained robust and 686 (26·8%) remained frail during Waves 1–3. During the 10-year period (Waves 4–8), a total of 549 participants reported a fall. Compared with those who remained frail during Waves 1–3, those who with sustained frailty remission had a lower risk of future falls (HR 0·41; 95% CI = 0·36–0·45). Conclusions Frailty remission is possible and can be sustained across 5 years. There is a lower risk of future falls in those who sustain frailty remission compared with those who remain frail. [ABSTRACT FROM AUTHOR]