Older Adults In England Research Articles

Use, perceptions, and effectiveness of e-cigarettes for smoking cessation among older adults in England: a population study, 2014–2024

BackgroundThis study aimed to characterise patterns of tobacco smoking and vaping among older adults (≥ 65 years) in England, to explore harm perceptions of e-cigarettes among those who smoke, and to estimate the real-world effectiveness of e-cigarettes for helping older adults to stop smoking.MethodsData were collected as part of a representative monthly cross-sectional household survey in England between April 2014 and April 2024 (n = 197,219). We analysed differences between older (≥ 65 years) and younger/middle-aged adults (18–64 years) in (a) time trends in tobacco smoking and vaping, (b) harm perceptions of e-cigarettes vs. cigarettes (adjusting for gender, socioeconomic position, and vaping status), and (c) the real-world effectiveness of e-cigarettes for smoking cessation (adjusting for gender, socioeconomic position, characteristics of the quit attempt, and use of other evidence-based cessation aids).ResultsTobacco smoking prevalence remained relatively unchanged over time among older adults (at ~ 9%; 9.5% [8.5–10.6%] in April 2014 and 8.7% [7.7–9.8%] in April 2024) but vaping prevalence increased (from 2.1% [1.6–2.7%] to 3.7% [3.0–4.6%], respectively). These trends differed from those observed among younger/middle-aged adults, among whom there was a clear decline in smoking (from 21.8% [21.0–22.7%] to 18.2% [17.3–19.0%]) and a larger increase in vaping (from 5.6% [5.2–6.1%] to 16.2% [15.3–17.0%]). Older adults were consistently less likely than younger/middle-aged adults to use e-cigarettes to support attempts to quit smoking (26.8% [17.2–39.3%] vs. 43.7% [39.6–48.0%] in April 2024). Older smokers reported greater uncertainty about the harms of e-cigarettes compared with cigarettes (ORadj = 2.48 [2.28–2.69]). E-cigarettes appeared to be effective for helping older adults to stop smoking (ORadj = 1.50 [0.96–2.34]); whether effectiveness was lower than for younger/middle-aged adults was inconclusive.ConclusionsOver the past decade, smoking prevalence has remained stable among older adults while decreasing among the rest of the adult population in England. Older adults are more unsure about the relative harms of e-cigarettes and less likely to use them to support attempts to quit smoking, despite evidence that they are effective for smoking cessation in this population.

Evaluating the Risk of Traumatic Brain Injury in Adults Following a Fall With Concomitant Use of Anti-Coagulation: A Retrospective Cohort Study.

Introduction Falls and fractures are major health challenges for older adults in England. Despite the advantages of anticoagulants, their use in the elderly is often restricted due to concerns about fall-related injuries. However, there is a lack of clear data on the risk of discontinuing anticoagulation therapy solely due to fall risk. NICE guidelines (2021) advise that anticoagulation should not be withheld solely based on age or fall risk. This study aims to assess the incidence of significant brain injuries or intracranial haemorrhages in patients on anticoagulant therapy, also comparing the independent risk factors for traumatic brain injury. Objective This study aims to assess the incidence of TBI following falls in patients on anticoagulant therapy, comparing outcomes between those using DOACs and Vitamin K antagonists. Methods A retrospective cohort study was conducted at Queen Alexandra Hospital, University Hospitals Portsmouth NHS Trust, from November 2023 to May 2024. Data were collected from 3,468 CT head scans performed on patients with a history of falls, including 801 on anticoagulation therapy. Results Of the 801 patients on anticoagulation, 763 (95.2%) were aged 65 or older, with a mean age of 83.1 years. Acute hemorrhage was detected in 3.1% (25/801) of patients. Patients on Warfarin and Dabigatran had significantly higher TBI risk compared to those on Apixaban (6.7%, p=0.02; and 7.6%, p=0.01, respectively), while Edoxaban and Rivaroxaban showed no significant difference. Also, older age (≥65 years) and higher frailty scores (CFS 6 and 7) were associated with increased TBI risk (p<0.05). All patients with acute hemorrhage received conservative management, and two patients experienced mortality within six months. Discussion The study indicates that the risk of TBI following falls in anticoagulated patients is 3.1% relatively low, aligning with existing literature. This underscores the need for careful consideration before discontinuing anticoagulation therapy solely based on fall risk. Hence, discontinuation of anticoagulation should be a patient-specific decision that carefully considers the balance between the risk of traumatic brain injury (TBI) and the benefits of anticoagulation therapy. Factors such as age, frailty, and the type of anticoagulant should all be taken into account. Clinical judgment and selective CT imaging can help balance patient safety with healthcare costs. Conclusion The incidence of adverse outcomes following head injury in patients on anticoagulant therapy is 3.1% and relatively low. Careful decision-making regarding the discontinuation of anticoagulation therapy, informed by patient background and presentation and selective CT imaging, is essential to manage risks effectively and optimize healthcare resource utilization.

England RCT of air filtration to prevent respiratory infections (including covid-19) in care homes

Abstract Context There is evidence that portable high-efficiency-particulate-air (HEPA) filtration units remove microbial particles from the air, but it is unclear whether this is sufficient to reduce infections in care home residents. Objectives To investigate the effectiveness of portable HEPA filtration units for winter respiratory infection episode reduction in care home residents. Study design and analysis: Cluster controlled trial with intention-to-treat analysis. Setting: 90 residential care homes for older adults in England. Population: Residents expected to reside in the care home for ≥1 month. Intervention care homes: Five HEPA filtration units in communal rooms and one HEPA filtration unit in 10 to 16 bedrooms. Control care homes: Usual care. Outcome measures: The primary outcome is the number of symptomatic winter respiratory infection episodes recorded by care home staff. Secondary outcomes: other infection measures; falls /near falls; laboratory confirmed infections; hospitalisations; and staff sickness. Process evaluation to assess intervention acceptability and implementation. Results Care homes were randomised between January 2022 and February 2024, 43 to intervention and 47 to usual care. Respectively, in intervention and control group care homes: 43% and 45% provided nursing care; 87% and 87% dementia care; and median (IQR) number of communal rooms were 4 (3-5) in both groups. 1126 residents were consented, of whom 31 (3%) moved away; 151 (13%) died; and 5 stopped participating. Primary outcome data is 98% complete with 175,318 'resident days' symptom data collected. Comparing intervention and control group residents: median (IQR) age was 88 (81-92) and 88 (82-92) years; 33% and 43% were receiving nursing care; 58% and 57% had dementia; frailty scores were 6 (4-7) and 6 (5-7); 94% and 94% received influenza; and 97% and 95% COVID vaccines. Conclusions Final analytic results of this world-first RCT will be available for the conference. Key messages • This world-first RCT using HEPA filters in care homes will report the evidence of effectiveness of respiratory infection episode reduction in care home residents. • The trial will inform policy makers about the effectiveness, acceptability and implementation of HEPA filters in care homes.

Health perceptions of adverse weather in older adults in England: analysis of 2019/20 survey data.

Risks to older adults (OA) (aged 65+ years) associated with hot and cold weather in the UK are well-documented. The study aim is to explore OA perception of health risks from high and low temperatures, health-protective measures undertaken, and implications for public health messaging. In 2019/20, Ipsos MORI conducted face-to-face surveys with OA in England (n = 461 cold weather survey, n = 452 hot weather survey). Participants reported temperature-related symptoms, risk perceptions for different groups, and behaviours during hot and cold weather. Analysis involved binomial logistic regression models to assess potential factors (demographics, vulnerability, behaviours) associated with older adults' health risk perception in hot and cold weather. Less than half of OA in both surveys agreed that hot or cold weather posed a risk to their health. OA with higher education, annual income >£25000 or home ownership were less likely to perceive their health at risk during cold weather and regional differences in hot weather were identified. OA who recognized those the same age or living alone as at an increased risk were more likely to perceive their own health as at risk. OA were more likely to self-identify health risks when reporting those aged 65 yrs+ to be at an increased risk in cold weather. Various temperature-related protective behaviours were associated with older adults' risk perception in hot and cold weather. These findings provide evidence for public health agencies to target high risk individuals, and modify temperature-related public health messaging to protect OA.

Complete Loss of Natural Teeth and Loneliness: A Fixed-Effect Analysis

Psychosocial properties of oral health have been reported. The present study aimed to investigate the causal effect of complete loss of natural teeth on loneliness by using fixed-effects analysis to control for confounding factors, including unmeasured time-invariant factors. Data from older adults participating in at least 2 consecutive waves of the English Longitudinal Study of Ageing in waves 3 (2006/2007), 5 (2010/2011), and 7 (2014/2015) were analyzed (N = 18,682 observations from 7,298 individuals). The association between complete loss of natural teeth and loneliness score (ranging from 3 to 9) was examined using fixed-effect linear regression analysis adjusting for time-varying confounders, including sociodemographic and health characteristics. The prevalence of complete tooth loss was 12.7%, 12.8%, and 10.6% in waves 3, 5, and 7, respectively. Individuals who transitioned to complete tooth loss during any 2 consecutive waves had an increase in loneliness score by 0.27 (95% confidence interval [CI] 0.03, 0.52), which was greater than those who maintained natural teeth (−0.03; 95% CI −0.05, −0.01). Fixed-effects analysis adjusting for time-varying confounders revealed a significant association between complete loss of natural teeth and an increase in loneliness score by 0.31 (95% CI 0.17, 0.46). Complete loss of natural teeth among older adults in England was associated with loneliness, even after accounting for measured time-varying and (un)measured time-invariant confounders. Retaining natural teeth may reduce the risk of loneliness.

Public transport use and mortality among older adults in England: A cohort study

Background: Most evidence on transport use and mortality has focused on the commute to work. This study aims to fill a gap by assessing relationships between public transport use and mortality among older adults. Methods: Data come from a cohort of 10,186 individuals aged 50 or older who participated in the English Longitudinal Study of Ageing (ELSA), with survey data linked to mortality records over 16 years (2002–2018). We assessed a binary measure of public transport use and frequency of use from ‘every day or nearly every day’ to ‘never’. Cox proportional-hazards regression models were used to estimate hazard ratios (HRs) with 95% confidence intervals (CIs) for associations between public transport use and mortality. Analyses were adjusted for a range of covariates including socio-demographic factors, chronic disease, and self-reported problems with daily living activities. Results: Overall, 3371 participants (33.1%) died within the study period. Mortality was lower among public transport users (21.3%) compared with non-users (64.2%). Adjusted analyses found that users had 34% lower mortality than non-users (HR 0.66 (95% CI 0.61;0.71)). Adjusted analyses showed similar association sizes across frequencies of public transport use, with those using public transport every day or nearly every day having 41% lower mortality than never users (HR 0.59 (0.49;0.71)). Associations were similar among those with and without a longstanding illness. Conclusion: The use of public transport among older adults is linked to lower levels of mortality. Reductions in provision of public transport services could be detrimental to both transportation and population health.

Socio-economic inequalities in the breadth of internet use before and during the COVID-19 pandemic among older adults in England.

Understanding digital exclusion in older adults during the COVID-19 pandemic could help tailor responses to future outbreaks. This cohort study used data from older adults aged 60+ years in England who participated in wave nine (2018/2019) of the main English Longitudinal Study of Ageing (ELSA) survey, and/or wave one of the ELSA COVID-19 sub-study (June/July 2020). Using latent class analysis and latent transition analysis, we aimed to identify distinct subgroups of older adults characterised by different patterns of internet use pre- and intra-pandemic, explore the extent to which individuals remained in the same subgroup or transitioned to a different subgroup during the COVID-19 pandemic, and examine longitudinal associations of socio-economic factors (education, occupational class, and wealth) with latent class membership. Preliminary tests showed that the types of internet activities differed between men and women; therefore, subsequent analyses were stratified by biological sex. Three clusters (low, medium, and high) were identified in male participants at both timepoints. Among female participants, three clusters were distinguished pre-pandemic and two (low versus high) during the pandemic. The latent classes were characterised by participants' breadth of internet use. Higher education, occupational class, and wealth were associated with greater odds of membership in the medium and/or high classes, versus the low class, in men and women. A high degree of stability in latent class membership was observed over time. However, men experienced a stark decrease in online health information-seeking. Our results highlight that inequality regarding the range of functional and social opportunities provided by the internet prevailed during the pandemic. Policymakers should ensure that digital access and upskilling initiatives are equitable for all.

Serogroup B Invasive Meningococcal Disease in Older Adults Identified by Genomic Surveillance, England, 2022-2023.

We report a cluster of serogroup B invasive meningococcal disease identified via genomic surveillance in older adults in England and describe the public health responses. Genomic surveillance is critical for supporting public health investigations and detecting the growing threat of serogroup B Neisseria meningitidis infections in older adults.

Exposure to ambient air pollution and cognitive function: an analysis of the English Longitudinal Study of Ageing cohort

BackgroundAn increasing number of studies suggest adverse effects of exposure to ambient air pollution on cognitive function, but the evidence is still limited. We investigated the associations between long-term exposure to air pollutants and cognitive function in the English Longitudinal Study of Ageing (ELSA) cohort of older adults.MethodsOur sample included 8,883 individuals from ELSA, based on a nationally representative study of people aged ≥ 50 years, followed-up from 2002 until 2017. Exposure to air pollutants was modelled by the CMAQ-urban dispersion model and assigned to the participants’ residential postcodes. Cognitive test scores of memory and executive function were collected biennially. The associations between these cognitive measures and exposure to ambient concentrations of NO2, PM10, PM2.5 and ozone were investigated using mixed-effects models adjusted for time-varying age, physical activity and smoking status, as well as baseline gender and level of education.ResultsIncreasing long-term exposure per interquartile range (IQR) of NO2 (IQR: 13.05 μg/m3), PM10 (IQR: 3.35 μg/m3) and PM2.5 (IQR: 2.7 μg/m3) were associated with decreases in test scores of composite memory by -0.10 (95% confidence interval [CI]: -0.14, -0.07), -0.02 [-0.04, -0.01] and -0.08 [-0.11, -0.05], respectively. The same increases in NO2, PM10 and PM2.5 were associated with decreases in executive function score of -0.31 [-0.38, -0.23], -0.05 [-0.08, -0.02] and -0.16 [-0.22, -0.10], respectively. The association with ozone was inverse across both tests. Similar results were reported for the London-dwelling sub-sample of participants.ConclusionsThe present study was based on a long follow-up with several repeated measurements per cohort participant and long-term air pollution exposure assessment at a fine spatial scale. Increasing long-term exposure to NO2, PM10 and PM2.5 was associated with a decrease in cognitive function in older adults in England. This evidence can inform policies related to modifiable environmental exposures linked to cognitive decline.

What determines participation in sport for older adults in England: A multilevel analysis of Active Lives data.

Physical inactivity within an ageing population is an ongoing public health concern for policymakers. Engagement in sport forms a foundation of policy designed to encourage physical activity participation and improve health and wellbeing. This study aimed to (i) understand the extent to which older adults participate in sport and the (ii) correlates that predict this involvement within an English population sample of older adults. A further aim was (iii) to examine the extent in which sports participation may vary due to the opportunity provided across Active Partnerships in England. To address this, a multi-level analysis framed through COM-B was conducted of the 2021 English Active Lives dataset (i.e., during the COVID-19 pandemic). The Active Lives survey provides population-level insight into sport, exercise, and physical activity participation across England. It samples upwards of n = 180,000 participants beyond the age of 16 years and asks questions on factors that influence participation. Our findings drawn from a sample of n = 68,808 older adults (i.e., >60-years of age) indicate that when accounting for variation across regions sports participation was significantly predicted by age (β = -.246, p = .040) and multiple deprivation (β = .706, p = .030). Further, our analysis suggests sports participation across regions is associated with changes in the perceptions of opportunity to participate (β = -28.70, p = .001). As the UK transitions from the COVID-19 pandemic, findings have implications for the promotion of sports participation for older adults, in that local, regional, and national stakeholders must do more to change perceptions of social and physical opportunity within an ageing population. This may be achieved through adaptations to the recreational sporting landscape, raising awareness, and supportive policy changes on a national level.

Barriers to accessing and receiving mental health care for paid and unpaid carers of older adults.

The aim of this qualitative study was to explore the barriers and facilitators to accessing and receiving mental health care for paid and unpaid carers of older adults. Unpaid and paid carers for older adults in England were interviewed remotely between May and December 2022. Participants were asked about their experiences of mental health needs and support. Reflexive thematic analysis was used to analyse the data. Thirty-seven carers participated (npaid = 9; nunpaid = 28), with the majority caring for a parent with dementia. Thematic analysis generated four themes: lack of healthcare support, social care system failing to enable time off, personal barriers and unsupportive work culture. Healthcare professionals failed to provide any link to mental health services, including when a dementia diagnosis was received. Structural and organisational barriers were evidenced by carers being unable to take time off from their unpaid caring duties or paid caring role, due to an absence of social care support for their relative. This is the first study to have explored the barriers to mental health care and support for paid and unpaid carers for older adultsand suggests that structural, organisationaland personal barriers cause severe difficulties in accessing required support to care for older relatives, services usersand residents. Two unpaid carers aided with the development of topic guides, data analysis, interpretationand dissemination. Both were supported and trained to code anonymised transcripts.

Protocol for VIVALDI social care: Pilot study to reduce infections, outbreaks and antimicrobial resistance in care homes for older adults.

Care home residents are vulnerable to severe outcomes from infections such as COVID-19 and influenza. However, measures to control outbreaks, such as care home closures to visitors and new admissions, have a detrimental impact on their quality of life. Many infections and outbreaks could be prevented but the first step is to measure them reliably. This is challenging in care homes due to the lack of data and research infrastructure. During the pandemic, the VIVALDI study measured COVID-19 infections in residents and staff by partnering with care providers and using routinely collected data. This study aims to establish sentinel surveillance and a research database to enable observational and future interventional studies in care homes. The project has been co-produced with care providers, staff, residents, relatives, and researchers. The study (October 2023 to March 2025) will explore the feasibility of establishing a network of 500-1500 care homes for older adults in England that is underpinned by a linked data platform. No data will be collected from staff. The cohort will be created by regularly extracting resident identifiers from Digital Social Care Records (DSCR), followed by pseudonymisation and linkage to routinely collected datasets. Following extensive consultation, we decided not to seek informed consent from residents for data collection, but they can 'opt out' of the study. Our goal is to be inclusive, and it is challenging to give every resident the opportunity to 'opt in' due to cognitive impairment and the requirement for consultees. The project, and all requests to use the data will be overseen by relatives, residents, staff, and care providers. The study has been approved by the Health Research Authority Confidentiality Advisory Group (23/CAG/0134&0135) and the South-West Frenchay Research Ethics Committee (23/SW/0105). It is funded by the UK Health Security Agency.

Longitudinal clustering of health behaviours and their association with multimorbidity in older adults in England: A latent class analysis.

Health-risk behaviours such as smoking, unhealthy nutrition, alcohol consumption, and physical inactivity (termed SNAP behaviours) are leading risk factors for multimorbidity and tend to cluster (i.e. occur in specific combinations within distinct subpopulations). However, little is known about how these clusters change with age in older adults, and whether and how cluster membership is associated with multimorbidity. Repeated measures latent class analysis using data from Waves 4-8 of the English Longitudinal Study of Ageing (ELSA; n = 4759) identified clusters of respondents with common patterns of SNAP behaviours over time. Disease status (from Wave 9) was used to assess disorders of eight body systems, multimorbidity, and complex multimorbidity. Multinomial and binomial logistic regressions were used to examine how clusters were associated with socio-demographic characteristics and disease status. Seven clusters were identified: Low-risk (13.4%), Low-risk yet inactive (16.8%), Low-risk yet heavy drinkers (11.4%), Abstainer yet inactive (20.0%), Poor diet and inactive (12.9%), Inactive, heavy drinkers (14.5%), and High-risk smokers (10.9%). There was little evidence that these clusters changed with age. People in the clusters characterised by physical inactivity (in combination with other risky behaviours) had lower levels of education and wealth. People in the heavy drinking clusters were predominantly male. Compared to other clusters, people in the Low-risk and Low-risk yet heavy drinkers had a lower prevalence of all health conditions studied. In contrast, the Abstainer but inactive cluster comprised mostly women and had the highest prevalence of multimorbidity, complex multimorbidity, and endocrine disorders. High-risk smokers were most likely to have respiratory disorders. Health-risk behaviours tend to be stable as people age and so ought to be addressed early. We identified seven clusters of older adults with distinct patterns of behaviour, socio-demographic characteristics and multimorbidity prevalence. Intervention developers could use this information to identify high-risk subpopulations and tailor interventions to their behaviour patterns and socio-demographic profiles.

Does Tobacco Smoking Increase Social Isolation? A Mendelian Randomization Study.

In this study, we aimed to investigate the causal effect of smoking on social isolation among older adults in England. Data from older adults of European ancestry who participated in 1 or more waves of the English Longitudinal Study of Ageing, from wave 1 (2002/2003) to wave 9 (2018/2019), were analyzed (n=43,687 observations from 7,008 individuals; mean age = 68.50 years). The effect of current smoking on social isolation (ranging from 0 to 5) was estimated by 2-stage least squares regression using a polygenic score (PGS) for smoking cessation as the instrument. A low PGS for smoking cessation predicted current smoking (per 1-standard-deviation lower PGS, coefficient=0.023, 95% confidence interval (CI): 0.015, 0.030; F =36.420). The second-stage regression showed that current smoking increased social isolation by 1.205 points (95% CI: 0.308, 2.101). The association was larger for persons with higher socioeconomic backgrounds: 2.501 (95% CI: -0.024, 5.026) and 0.696 (95% CI: -0.294, 1.686) for those with higher and lower educational levels, respectively. This study showed that current smoking instrumented by a PGS for smoking cessation was associated with social isolation. Assuming that the PGS served as a valid instrument in this study, the findings support an effect of smoking on social isolation.

Cataract surgery utilization in Parkinson's disease: the english longitudinal survey on ageing.

Older adults with Alzheimer's disease are less likely to be offered cataract surgery than the general population, but these disparities have not been examined in the context of other neurodegenerative disorders such as Parkinson's disease (PD). Using data from the English Longitudinal Study on Ageing (ELSA), an ongoing, longitudinal population-based survey of older adults in England, we examined the relationship between PD and cataract surgery among adults 50 and older. We used logistic regression to measure the association between PD and history of cataract surgery at baseline. In longitudinal analyses of subjects with no history of cataract surgery at time of enrollment, we used semiparametric, discrete-time proportional hazards models to model the incidence of cataract surgery as a function of PD and other time-dependent covariates. Models were adjusted for demographic variables, self-reported comorbidities, and measures of daily activity limitation. We included data from 19,241 eligible ELSA respondents, of whom 231 (1.2%) reported a diagnosis of PD. PD was positively associated with a history of self-reported cataract surgery at baseline (OR 3.66, 95% CI: 2.55-5.26), but this did not remain significant after adjusting for confounders (OR 1.22, 95% CI: 0.75-1.98). Among subjects with no history of cataract surgery at baseline, PD was also not associated with incident cataract surgery (adjusted HR 1.32, 95% CI: 0.86-2.02). Unlike Alzheimer's disease, people with PD were no less likely to receive cataract surgery compared to those without PD.

Violence and abuse exposure and health complications in older age

Abstract Background Due to the ageing population, the extent and impacts of violence in later life could become increasingly prominent. However, there is a lack of evidence on violence and its effects in older age, which impedes prevention measures. The present research draws on data collected from two nationally representative population health surveys - the Adult Psychiatric Morbidity Survey (APMS) 2014 and the English Longitudinal Study of Ageing (ELSA) to examine associations between violence and health outcomes in older adults in England. Methods APMS is a cross-sectional design and collected data on violence and abuse as well as mental health in adults aged 16+. Multivariable regression analyses were run to measure associations between violence and common mental disorder (CMD) in adults aged 60+ in comparison with the younger population group (16-59). ELSA is a panel data study, which has collected information on health, social, and economic lives of individuals aged 50 and over every two years since 2002. In wave 3, ELSA included questions on childhood abuse and life experiences of physical and sexual violence. Logistic multilevel regressions were used to examine associations between violence and subsequent limiting illness and depression. Results Violence conferred an independent risk for CMD (AOR 2.2, 95% CI:1.0-4.8) based on the APMS data. According to ELSA results, physical violence (AOR 2.50, 95%CI 1.69-3.68) and childhood abuse (AOR 2.47, 95%CI 1.51-4.04) were associated with the development of limiting illness, with sex differences between men and women observed. Conclusions Violence remains a problem that affects older people and presents risks to their health. Moreover, earlier life victimization could cause long-lasting health impacts that persist in later life. To mitigate the challenges associated with the ageing population, policies and interventions should focus on the prevention of violence and its long-lasting effects on health.

Has the UK Campaign to End Loneliness Reduced Loneliness and Improved Mental Health in Older Age? A Difference-in-Differences Design

ObjectiveTo estimate the impact of the UK nationwide campaign to End loneliness on loneliness and mental health outcomes among older people in England. DesignQuasi-experimental design, namely, a difference-in-differences approach. SettingLocal authorities across England. ParticipantsOlder adults aged 65 and over participating in waves 4–8 (2008–2017) of the English Longitudinal Study of Aging (ELSA) and waves 1–9 (2009–2019) of the UK Household Longitudinal Study (UKHLS). Main outcome measuresLoneliness was measured through the UCLA Loneliness scale. A social isolation scale with components of household composition, social contact and participation was constructed. Mental health was measured by The Centre for Epidemiological Studies of Depression (CES-D) score, the General Health Questionnaire (GHQ-12) score, and the Short-Form-12 Mental Component Summary (SF-12 MCS) score. ResultsThere was no evidence of change in loneliness scores over the study period. Difference-in-differences estimates suggest that explicitly developed and implemented antiloneliness strategies led to no change in loneliness scores (estimate = 0.044, SE = 0.085), social isolation caseness (estimate = 0.038, SE = 0.020) or levels of depressive symptoms (estimate = 0.130, SE = 0.165). Heterogeneity analyses indicate that antiloneliness strategies produced little impact on loneliness or mental health overall, despite small reductions in loneliness and increases in social engagement among well-educated and higher-income older adults. The results were robust to various sensitivity and robustness analyses. ConclusionsAntiloneliness strategies implemented by local authorities have not generated a significant change in loneliness or mental health in older adults in England. Generating changes in loneliness in the older population might require longer periods of exposure, larger scope of intervention or more targeted strategies.

The Impact of Long-Term Conditions and Comorbidity Patterns on COVID-19 Infection and Hospitalisation: A Cohort Study

Introduction: Older adults are more vulnerable to COVID-19 infections; however, little is known about which comorbidity patterns are related to a higher risk of COVID-19 infection. This study investigated the role of long-term conditions or comorbidity patterns on COVID-19 infection and related hospitalisations. Methods: This study included 4,428 individuals from Waves 8 (2016−2017) and 9 (2018−2019) of the English Longitudinal Study of Ageing (ELSA) who also participated in the ELSA COVID-19 Substudy in 2020. Comorbidity patterns were identified using an agglomerative hierarchical clustering method. The relationships between comorbidity patterns or long-term conditions and COVID-19-related outcomes were examined using multivariable logistic regression. Results: Among a representative sample of community-dwelling older adults in England, those with cardiovascular disease (CVD) and complex comorbidities had an almost double risk of COVID-19 infection (OR = 1.87, 95% CI = 1.42−2.46) but not of COVID-19-related hospitalisation. A similar pattern was observed for the heterogeneous comorbidities cluster (OR = 1.56, 95% CI = 1.24−1.96). The individual investigations of long-term conditions with COVID-19 infection highlighted primary associations with CVD (OR = 1.46, 95% CI = 1.23−1.74), lung diseases (OR = 1.40, 95% CI = 1.17−1.69), psychiatric conditions (OR = 1.40, 95% CI = 1.16−1.68), retinopathy/eye diseases (OR = 1.39, 95% CI = 1.18−1.64), and arthritis (OR = 1.27, 95% CI = 1.09−1.48). In contrast, metabolic disorders and diagnosed diabetes were not associated with any COVID-19 outcomes. Conclusion: This study provides novel insights into the comorbidity patterns that are more vulnerable to COVID-19 infections and hospitalisations, highlighting the vulnerability of those with CVD and other complex comorbidities. These findings facilitate crucial new evidence that should be considered for appropriate screening measures and tailored interventions for older adults in the ongoing global outbreak.

Socioeconomic inequalities in physical activity among older adults before and during the COVID-19 pandemic: evidence from the English Longitudinal Study of Ageing

IntroductionThe influence of the COVID-19 pandemic on physical activity behaviour in older adults is of particular concern. However, little is yet known about how pre-existing socioeconomic inequalities in older adults’...

Clustering by multiple long-term conditions and social care needs: a cross-sectional study among 10 026 older adults in England

Background People with multiple long-term conditions (MLTC) face health and social care challenges. This study aimed to classify people by MLTC and social care needs (SCN) into distinct clusters and...