Gender inequality in healthy ageing: a study of the English older population over a decade

This thesis investigates gender inequalities in healthy ageing among the older English population, using data from the English Longitudinal Study of Ageing. The research aims were achieved by completing the following steps: (i) healthy ageing was intended as advancing to the later stages of the life course without disability; where disability was first theoretically conceptualized and then measured using severity levels that were identified empirically; (ii) gender inequalities in healthy ageing were assessed by studying whether the association between disability and mortality observed over the course of a decade differed between men and women; and (iii) disability and mortality were combined into a summary measure of population health -disability-free life expectancy- in order to estimate how expectancies of healthy life have changed over a decade across the two genders. The work is structured in four papers, denoted Research Paper I-IV. Research Paper I, a systematic literature review of studies analysing inequalities in health expectancy among the older population, inspired the direction taken by this thesis, as it identified gaps and open questions to be addressed to aid the understanding of the dynamics of healthy ageing. Research Paper II attempted to develop an approach to answer some of these questions. First, a solid and theoretically grounded definition of disability was proposed, based on the WHO's International Classification of Functioning Disability and Health (ICF), and in contrast to the data-dependent (and therefore heterogeneous) measures used in the literature. Then, using this definition, explanations of the gender paradox in health and mortality were attempted by analysing whether the association of disability with mortality differed between women and men over the period for which data were available (2002-2012). In Research Paper III the definition of disability elaborated in Research Paper II was used to foster and advance the debate on the usefulness and relevance of adopting a finer categorization of disability, and discuss why it is important to go beyond a binary classification, and to identify the appropriate number of disability levels that is most useful for research purposes. Based on these conclusions, the final aim of this thesis was accomplished in Research Paper IV, which studied the trends in disability-free life expectancy in England over the last decade, comparing the changes experienced by men and women at each severity level of disability. The collective findings of this thesis highlight the importance of defining disability in a consistent and comprehensive way as well as considering different severity levels. This work provides robust empirical evidence for theories of population health change over a decade in the English setting, with gender differences in healthy ageing, and directions of population health changes, found to vary across disability levels

Living longer but not necessarily healthier: The joint progress of health and mortality in the working-age population of England

Despite improvements in life expectancy, there is uncertainty on whether the increase in years of healthy life expectancy has kept pace. In this paper we explore whether there is empirical support for the expansion of morbidity hypothesis in the population aged 25–64 living in England. Nationally representative cohorts born between 1945 and 1980 are constructed from repeated annual cross-sections of the Health Survey for England, 1991–2014. Later-born cohorts at a given age have the same or higher prevalence of self-reported bad general health and long-term illness, self-reported high blood pressure (in men), self-reported and objectively-measured diabetes, circulatory illnesses, clinical hypertension, and overweight BMI. We also find that healthy life expectancies (in the sense of absence of each of these problems) at age 25 have increased at a slower pace than life expectancy between 1993 and 2013. Our findings lend support to the expansion of morbidity hypothesis and point to increased future demand for specific healthcare services at younger ages

Levels of disability in the older population of England: Comparing binary and ordinal classifications.

BACKGROUND: Recent studies suggest the importance of distinguishing severity levels of disability. Nevertheless, there is not yet a consensus with regards to an optimal classification. OBJECTIVE: Our study seeks to advance the existing binary definitions towards categorical/ordinal manifestations of disability. METHODS: We define disability according to the WHO's International Classification of Functioning, Disability and Health (ICF) using data collected at the baseline wave of the English Longitudinal Study of Aging, a longitudinal study of the non-institutionalized population, living in England. First, we identify cut-off points in the continuous disability score derived from ICF to distinguish disabled from no-disabled participants. Then, we fit latent class models to the same data to find the optimal number of disability classes according to: (i) model fit indicators; (ii) estimated probabilities of each disability item; (iii) association of the predicted disability classes with observed health and mortality. RESULTS: According to the binary classification criteria, about 32% of both men and women are classified disabled. No optimal number of classes emerged from the latent class models according to model fit indicators. However, the other two criteria suggest that the best-fitting model of disability severity has four classes. CONCLUSIONS: Our findings contribute to the debate on the usefulness and relevance of adopting a finer categorization of disability, by showing that binary indicators of disability averaged the burden of disability and masked the very strong effect experienced by individuals having severe disability, and were not informative for low levels of disability

Patient characteristics associated with the acceptability of teleconsultation: a retrospective study of osteoporotic patients post-COVID-19

Background: Due to the COVID-19 pandemic, teleconsultations (TCs) have become common practice for many chronic conditions, including osteoporosis. While satisfaction with TCs among patients increases in times of emergency, we have little knowledge of whether the acceptability of TCs persists once in-person visits return to being a feasible and safe option. In this study, we assess the acceptability of TCs across five dimensions for osteoporosis care among patients who started or continued with TCs after the COVID-19 pandemic had waned. We then explore the patient characteristics associated with these perceptions. Methods: Between January and April 2022, 80 osteoporotic patients treated at the Humanitas Hospital in Milan, Italy, were recruited to answer an online questionnaire about the acceptability of TCs for their care. The acceptability of TCs was measured using a modified version of the Service User Technology Acceptability Questionnaire (SUTAQ), which identifies five domains of acceptability: perceived benefits, satisfaction, substitution, privacy and discomfort, and care personnel concerns. Multivariable ordinary least squares (OLS) linear regression analysis was performed to assess which patient characteristics in terms of demographics, socio-economic conditions, digital skills, social support, clinical characteristics and pattern of TC use were correlated with the five domains of acceptability measured through the SUTAQ. Results: The degree of acceptability of TCs was overall good across the 80 respondents and the five domains. Some heterogeneity in perceptions emerged with respect to TCs substituting for in-person visits, negatively impacting continuity of care and reducing the length of consultations. For the most part, acceptability was not affected by patient characteristics with a few exceptions related to treatment time and familiarity with the TC service modality (i.e., length of osteoporosis treatment and number of TCs experienced by the patient). Conclusions: TCs appear to be an acceptable option for osteoporosis care in the aftermath of the COVID-19 pandemic. This study suggests that other characteristics besides age, digital skills and social support, which are traditionally relevant to TC acceptability, should be taken into account in order to better target this care delivery modality

Socioeconomic inequalities across life and premature mortality from 1971 to 2016: findings from three British birth cohorts born in 1946, 1958 and 1970

INTRODUCTION: Disadvantaged socioeconomic position (SEP) in early and adult life has been repeatedly associated with premature mortality. However, it is unclear whether these inequalities differ across time, nor if they are consistent across different SEP indicators. METHODS: British birth cohorts born in 1946, 1958 and 1970 were used, and multiple SEP indicators in early and adult life were examined. Deaths were identified via national statistics or notifications. Cox proportional hazard models were used to estimate associations between ridit scored SEP indicators and all-cause mortality risk-from 26 to 43 years (n=40 784), 26 to 58 years (n=35 431) and 26 to 70 years (n=5353). RESULTS: More disadvantaged SEP was associated with higher mortality risk-magnitudes of association were similar across cohort and each SEP indicator. For example, HRs (95% CI) from 26 to 43 years comparing lowest to highest paternal social class were 2.74 (1.02 to 7.32) in 1946c, 1.66 (1.03 to 2.69) in 1958c, and 1.94 (1.20 to 3.15) in 1970c. Paternal social class, adult social class and housing tenure were each independently associated with mortality risk. CONCLUSIONS: Socioeconomic circumstances in early and adult life show persisting associations with premature mortality from 1971 to 2016, reaffirming the need to address socioeconomic factors across life to reduce inequalities in survival to older age

The impact of maternal employment on children's weight: Evidence from the UK

Previous research shows that maternal employment is associated with higher children's body mass index (BMI). Using a large UK longitudinal birth cohort study of almost 20,000 children, we examine the effect of maternal employment during childhood (to age 14) on children's weight. We address the endogeneity of maternal employment by estimating household fixed effects models. We find that maternal employment has a positive effect on children's BMI and therefore on excess weight, and this is particularly the case for single mothers. We investigate potential pathways, including children's sedentary behavior and healthy eating behaviors, and find evidence of more sedentary behavior and poorer eating habits amongst children whose mothers are in employment. This is consistent with higher BMI levels amongst these children

Disability and all-cause mortality in the older population: evidence from the English Longitudinal Study of Ageing.

Despite the vast body of literature studying disability and mortality, evidence to support their association is scarce. This work investigates the role of disability in explaining all-cause mortality among individuals aged 50+ who participated in the English Longitudinal Study of Aging. The aim is to explain the gender paradox in health and mortality by analysing whether the association of disability with mortality differs between women and men. Disability was conceived following the International Classification of Functioning, Disability and Health (ICF), proposed by the WHO, that conceptualizes disability as a combination of three components: impairment, activity limitation and participation restriction. Latent variable models were used to identify domain-specific factors and general disability. The association of the latter with mortality up to 10 years after enrolment was estimated using discrete-time survival analysis. Our work confirms the validity of the ICF framework and finds that disability is strongly associated with mortality, with a time-varying effect among men, and a smaller constant effect for women. Adjusting for demographic, socioeconomic and behavioural factors attenuated the association for both sexes, but overall the effects remained high and significant. These findings confirm the existence of gender paradox by showing that, when affected by disability, women survive longer than men, although if men survive the first years they appear to become more resilient to disability. Sensitivity analyses suggested that the gender paradox cannot be solely explained by gender-specific health conditions: there must be other mechanisms acting within the pathway between disability and mortality that need to be explored

Improving the plausibility of the missing at random assumption in the 1958 British birth cohort: A pragramatic data driven approach

Making the Missing At Random (MAR) assumption more plausible has implications for missing data analysis. We capitalise on the rich data of the National Child Development Study (NCDS - 1958 British birth cohort) and implement a systematic data-driven approach to identify predictors of non-response from the 11 sweeps (birth to age 55) of the NCDS (n = 17,415). We employed parametric regressions and the Least Absolute Shrinkage and Selection Operator for variable selection. Disadvantaged socio-economic background in childhood, worse mental health and lower cognitive ability in early life, and lack of civic and social participation in adulthood were consistently associated with non-response. Using this information, we were able to restore the composition of the NCDS samples at age 50 and age 55 to be representative of the study’s target population, using external benchmarks, and according to a number of characteristics captured within the original birth sample. We have shown that capitalising on the richness of NCDS allowed us to identify predictors of non-response that improve the plausibility of the MAR assumption. These variables can be straightforwardly used in analyses with principled methods to reduce bias due to missing data and have the strong potential to restore sample representativeness

Do children's expectations about future physical activity predict their physical activity in adulthood?

BACKGROUND: Much of the population fails to meet recommended physical activity (PA) levels, but there remains considerable individual variation. By understanding drivers of different trajectories, interventions can be better targeted and more effective. One such driver may be a person's physical activity identity (PAI)-the extent to which a person perceives PA as central to who they are. METHODS: Using survey information and a unique body of essays written at age 11 from the National Child Development Study (N = 10 500), essays mentioning PA were automatically identified using the machine learning technique support vector classification and PA trajectories were estimated using latent class analysis. Analyses tested the extent to which childhood PAI correlated with activity levels from age 23 through 55 and with trajectories across adulthood. RESULTS: 42.2% of males and 33.5% of females mentioned PA in their essays, describing active and/or passive engagement. Active PAI in childhood was correlated with higher levels of activity for men but not women, and was correlated with consistently active PA trajectories for both genders. Passive PAI was not related to PA for either gender. CONCLUSIONS: This study offers a novel approach for analysing large qualitative datasets to assess identity and behaviours. Findings suggest that at as young as 11 years old, the way a young person conceptualizes activity as part of their identity has a lasting association with behaviour. Still, an active identity may require a supportive sociocultural context to manifest in subsequent behaviour

Missing at random assumption made more plausible: evidence from the 1958 British birth cohort

Objective: Non-response is unavoidable in longitudinal surveys. The consequences are lower statistical power and the potential for bias. We implemented a systematic data-driven approach to identify predictors of non-response in the National Child Development Study (NCDS; 1958 British birth cohort). Such variables can help make the missing at random assumption more plausible, which has implications for the handling of missing data. / Study Design and Setting: We identified predictors of non-response using data from the 11 sweeps (birth to age 55) of the NCDS (n = 17,415), employing parametric regressions and the LASSO for variable selection. / Results: Disadvantaged socio-economic background in childhood, worse mental health and lower cognitive ability in early life, and lack of civic and social participation in adulthood were consistently associated with non-response. Using this information, along with other data from NCDS, we were able to replicate the “population distribution” of educational attainment and marital status (derived from external data), and the original distributions of key early life characteristics. / Conclusion: The identified predictors of non-response have the potential to improve the plausibility of the missing at random assumption. They can be straightforwardly used as “auxiliary variables” in analyses with principled methods to reduce bias due to missing data