General practitioners with a special interest in respiratory medicine:national survey of UK primary care organisations

Non peer reviewedPublisher PD

Life-course occupational social class and health in later life: The importance of frequency and timing of measures

Research investigating associations between social class over the life-course and later health relies primarily on secondary analysis of existing data, limiting the number and timing of available measurements. This paper aims to examine the impact of these constraints on the measurement of life-course occupational social class and subsequent explanatory analyses predicting health in later life. Participants of the UK Boyd Orr Lifegrid Subsample (n = 294), aged an average of 68 years, provided retrospective information on their life-course occupational social class, coded at 6-month intervals. This was used to simulate two types of life-course data: (1) Theoretical: Life stage (four data-points at key life stages); (2) A-theoretical: Panel data (data-points at regular intervals of varying length). The percentage of life time in disadvantage and the predictive value for limiting longstanding illness (LLI) in later life using the full life-course and simulated data was compared. The presence of 'critical periods' of exposure and the role of trajectories of social class were also investigated. Compared with the full data, the life stage approach estimated a higher percentage of life time in disadvantage and emphasised 'transient' periods in disadvantage (e.g. labour market entry). With varying intervals using the a-theoretical approach, there was no clear pattern. Percentage of life time in manual class was a significant predictor of LLI only when using the four-point life stage approach. Occupational social class at labour market entry was a predictor of LLI in later life, suggesting a 'critical period'. Comparison of trajectories of social class further emphasised the importance of the sequence and timing of exposures to disadvantage in determining later health. We conclude that producing a valid summary of life-course occupational social class does not necessarily require a large number of data-points, particularly if guided by relevant theory, and that such measures can reveal important associations with later health. © 2014 Springer-Verlag Berlin Heidelberg

An Umbrella Review of Quality of Life Among the General Population During the COVID-19 Pandemic

Background/Objectives: The COVID-19 pandemic has had widespread effects on quality of life (QoL). This umbrella review aimed to synthesise review-level evidence on the impact of the COVID-19 pandemic on QoL across the general population, including children, adolescents, adults, and older people. Methods: A systematic search of databases (MEDLINE (PubMed); EBSCOHost; Scopus; Google Scholar) and review repositories was conducted to identify systematic reviews, meta-analyses, and scoping reviews published between 2019 and 2025. Eligible reviews (2019–2025, English, peer-reviewed) included narrative, systematic and meta-analytic syntheses of quantitative, qualitative or mixed-methods evidence examining the impact of the COVID-19 pandemic on quality of life in the general population, using validated QoL measures. The review followed Joanna Briggs Institute methodology for umbrella reviews, with data synthesised narratively by QoL domain and population group. Results: Nine reviews met the inclusion criteria, encompassing 272 primary studies. Most reported declines in QoL across psychological, physical, and social domains. Children and adolescents experienced reductions in emotional and social functioning. Working-age adults reported psychological strain linked to economic and health-related stressors, while older adults were vulnerable to isolation and reduced social QoL. Environmental and structural factors also influenced QoL. Sociodemographic disparities were observed, with lower QoL reported among women, younger individuals, and those with lower socioeconomic status. Conclusions: The COVID-19 pandemic was associated with substantial declines in QoL across population groups, shaped by psychological, social, and structural factors. Findings highlight the importance of addressing social inequalities and enhancing resilience in future public health crises