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

Differentials in Health and Wellbeing in Older Adults with Obesity in England: A Cross-Sectional Analysis Using the English Longitudinal Study of Ageing

The aim of the study is to explore the association of obesity by body mass index (BMI) measurements with subjective health status (SHS), objective health status (OHS) and wellbeing status among older adults in England. The sample of 5640 participants (aged 50 years and over) are considered from the English Longitudinal Study of Ageing Wave 8 dataset. Multivariate logistic regression analysis is performed to explore the cross-sectional relationship of the study variables. The statistical analyses explored those overweight and obese older adults are progressively vulnerable to increasing odds of poor SHS, OHS and poor wellbeing in an adjusted model compared to their normal-weight counterparts. The outcome of the present study would enable policymakers and healthcare providers to have greater insight into the effects of socio-demographic and lifestyle factors and the effect of high BMI on older adults’ health and wellbeing.

Depression deterioration of older adults during the first wave of the COVID-19 outbreak in Europe

Rationale

Determining who is particularly vulnerable to mental health deterioration during the COVID-19 pandemic is essential when designing and targeting interventions to mitigate the adverse psychological impacts of the outbreak. Older people have appeared to be less exposed to mental health deterioration compared with younger individuals, but most exposed to the risk of severe illness and death from the virus, as well as less equipped to use technologies for coping with lockdown measures.

Objective

Amongst the old population, we aim at determining how depressive symptoms have changed during the first wave of the COVID-19 pandemic and identifying individual risk factors associated with changes in reporting depression. We are particularly interested in exploring the role of pre-existing mental health problems and evaluating gender differences.

Method

Data come from the Survey of Health, Ageing and Retirement in Europe, in particular from the first COVID-19 survey administered in summer 2020. Logistic models are estimated and Average Marginal Effects computed to take the degree of individual unobserved heterogeneity into account comparing point estimates across samples. Multiple Imputation (implemented through Multivariate Imputation by Chained Equations) is used to replace missing data. Statistical power of the effect sizes is estimated by a simulation approach.

Results

Pre-existing mental health problems, a diagnosis of affective/emotional disorders, a recent diagnosis of a major illness, and (only for men) job loss during the first wave of the outbreak are the most important risk factors. Statistical differences between genders emerge, with women experiencing higher levels of depression and greater worsening of mental health than men.

Conclusions

To identify people at greater risk of depression deterioration during an outbreak it is very important to consider their pre-existing mental and general health, distinguishing severity level. On population level, it is also crucial to evaluate depression disorders separately by gender.

Functioning profiles in a nationally representative cohort of Spanish older adults: A latent class study

Ageing well involves individuals continuing participating in personal, social and civic affairs even in older age. From this standpoint, limitations in individual's functioning (beyond the mere absence of disease) may drastically impact on how well people becoming older. This study aimed to identify functional status profiles in a nationally representative sample of older adults, using latent class analysis methods. Moreover, it intended to study the how identified classes would be related to health-related outcomes later in life, as a way to provide some evidence on predictive validity. Data from a nationally representative sample of Spanish older adults (N = 2,118; 56.18% women; M = 71.50 years, SD = 7.76), were used. Profiles were identified according to a large set of functioning indicators from multiple domains using latent class analysis. Outcomes were studied over a 3-year follow-up, considering both the individual (quality of life, well-being and mortality) and institutional level (health service utilisation). As a result, seven profiles were identified: normative profile (showed by most participants), limited cognitive functioning class, limited global functioning class, limited mental and mobility functioning class, poor self-reported health class, limited sensory functioning class and limited objective functioning class. All the profiles with limitations across domains showed poor outcomes. Multidimensional limitations were related to the worst outcomes, especially when psychosomatic complaints and high feelings of loneliness were reported. To sum up, latent class analysis constitutes a suitable alternative to study population heterogeneity, providing relevant evidence to help making decision in public and community health.

Severity Levels of Disability Among Older Adults in Low- and Middle-Income Countries: Results From the Study on Global Ageing and Adult Health (SAGE)

Background: Recent studies suggest the importance of distinguishing the severity levels of disability in the older adult population. However, there is still no consensus regarding an optimal classification. Few studies have estimated the prevalence of severe disability, and the results have been confined to high-income countries. There is no evidence for low- and middle-income countries (LMICs). Therefore, the aim of this study was to provide estimates of the levels of severity associated with disability in older adult populations in LMICs and to examine their relationship with health and socioeconomic factors. Methods: We used data from the Study on global AGEing and adult health (SAGE), wave 1 (2007-2010). Nationally representative samples of adults over 50 years from China, Ghana, India, Mexico, Russian Federation, and South Africa were analyzed (n = 33,641). We measured disability using the World Health Organization Disability Assessment Instrument version 2.0 (WHODAS 2.0). Disability levels according to severity were identified through the use of latent class analysis. Socioeconomic and health factors associated with severe disability were estimated using ordinal logistic regression models. Results: We identified four groups of older adult: (1) without disability, 43.4%; (2) mild disability, 33.3%; (3) moderate disability, 15.3%; and (4) severe disability, 8.0%. These results were heterogeneous for the six countries analyzed. Education and socioeconomic status were significantly associated with severe disability along with the following chronic conditions: angina, arthritis, asthma, cataracts, chronic obstructive pulmonary disease, depression, diabetes, and stroke. Severe disability was also associated with the frailty status, sarcopenia, and mild cognitive impairment. Conclusions: In this study, we estimated severity levels of disability for the older adult population in LMICs. Our results show that severe disability affects 8% of older adult, and that there are important socioeconomic and health factors associated with this condition. Measuring the severity of disability is a critical element to study the causes and consequences of aging. Moreover, the identification of older adult with severe disability is vital to design prevention programs, modify interventions, or develop enabling environments.

Post-war (1946-2017) population health change in the United Kingdom: A systematic review

We systematically reviewed the evidence on secular trends in main chronic conditions, disability and self-assessed general health among adults in the United Kingdom, as reported in primary/secondary care databases and population-based surveys. Searches were conducted separately for: (1) trends in age-standardised or age-specific prevalence of major non-communicable diseases, disability, and self-reported general health; (2) trends in health expectancy. The databases searched were MEDLINE, EMBASE/EMBASE Classic and Web of Science (all from 1946/7). The evidence was synthesised narratively. There were 39 studies reporting trends in prevalence of health conditions and 15 studies in health expectancy. We did not find evidence for improvement in the age-standardised or age-specific prevalence of any of the studied major chronic conditions over the last few decades, apart from Alzheimer's disease and other dementias. Both increasing or stable prevalence rates with simultaneous rising life expectancy support the expansion of morbidity theory, meaning that people are expected to spend a greater number of years with chronic condition(s). The evidence on disability-expressed as prevalence or health expectancy-was mixed, but also appeared to support the expansion of morbidity among those aged 65 or over. The evidence on trends in disability for younger age is lacking. Across the studied period (1946-2017), the UK population endured more years with chronic morbidity and disability, which may place a serious strain on the health care system, the economy and the society.

Towards Universal Eye Health: Hospital-based disability-disaggregated data collection in Takeo province, Cambodia

BACKGROUND

Universal access and equity are salient principles of the World Health Organization global action plan 'Towards Universal Eye Health'. However, collection of disability-disaggregated data to measure access to eye hospitals in low- and middle income countries, including referral to rehabilitative services, are not routinely integrated into Health Management Information Systems.

OBJECTIVE

This report presents secondary-data analysis of disability-disaggregated data collection that was introduced at a tertiary eye hospital in a rural province in Cambodia.

METHODS

A modified version of the Washington Group Short Set of Questions was used to count the number of eye patients with self-reported difficulties. The number of referrals of patients with unavoidable visual impairment to low vision services as well as referral to rehabilitative services was also counted.

RESULTS

From 2011 to 2016, out of 182,327 patients overall 4981 (2.7%; 95% CI 2.66-2.81) reported difficulties with hearing, moving or communicating in addition to visual or other eye-related problems. Most of the difficulties were reported in the age group of patients aged 50 years and older (89.8% [95% CI 88.9-90.6]). All together 901 (0.5%; 95% CI 0.46-0.53) patients were treated at the low vision unit and 652 (0.36%; 95% CI 0.33-0.39) patients were referred to rehabilitation services. The number of referrals to rehabilitation declined annually from the year 2013-2016.

CONCLUSIONS

Patients with self-reported impairments constitute a significant proportion of the eye hospital's population. A modified version of the Washington Group Short Set of Questions enabled routine disability-disaggregated data collection but resulted also in possible under-reporting of difficulties.