The impact of COVID-19 lockdowns on physical activity amongst older adults: evidence from longitudinal data in the UK.

BACKGROUND: A sedentary lifestyle increases the risk of adverse health outcomes and frailty,particularly for older adults. To reduce transmission during the COVID-19 pandemic, people were instructed to stay at home, group sports were suspended, and gyms were closed, thereby limiting opportunities for physical activity. Whilst evidence suggests that physical activity levels reduced during the pandemic, it is unclear whether the proportion of older adults realising the recommended minimum level of physical activity changed throughout the various stages of lockdown. METHODS: We used a large sample of 3,660 older adults (aged ≥ 65) who took part in the UK Household Longitudinal Study's annual and COVID-19 studies. We examined changes in the proportion of older adults who were realising the UK Chief Medical Officers' physical activity recommendations for health maintenance at several time points before and after COVID-19 lockdowns were imposed. We stratified these trends by the presence of health conditions, age, neighbourhood deprivation, and pre-pandemic activity levels. RESULTS: There was a marked decline in older adults' physical activity levels during the third national lockdown in January 2021. The proportion realising the Chief Medical Officers' physical activity recommendations decreased from 43% in September 2020 to 33% in January 2021. This decrease in physical activity occurred regardless of health condition, age, neighbourhood deprivation, or pre-pandemic activity levels. Those doing the least activity pre-lockdown increased their activity during lockdowns and those doing the most decreased their activity levels. CONCLUSIONS: Reductions in older adults' physical activity levels during COVID-19 lockdowns have put them at risk of becoming deconditioned and developing adverse health outcomes. Resources should be allocated to promote the uptake of physical activity in older adults to reverse the effects of deconditioning.

Somatization and health anxiety as predictors of health care use.

OBJECTIVE: To assess whether the number of somatic symptoms and health anxiety are independent predictors of future health care use after adjusting for confounders. METHODS: In a random sample of the adult UK population, questionnaires assessed the number of somatic symptoms (Somatic Symptom Inventory), health anxiety (Whiteley Index), anxiety/depression (Hospital Anxiety and Depression Scale), the number of physical illnesses and demographic variables. The number of consultations in primary care was obtained from medical records for 1 year before and after questionnaire assessment, and negative binomial regression analyses identified predictors of consultation rate. RESULTS: The sample included 961 participants (58.0% response) with complete medical record data for 609 participants. After adjustment for consultation rate in the prior year, the predictors of subsequent consultation rate in primary care were the number of physical illnesses, off work through illness, Whiteley Index (incidence rate ratio [IRR] = 1.22, 95% confidence interval [CI] = 1.09-1.35), and the Whiteley Index-by-Somatic Symptom Inventory interaction term. Reported physical abuse predicted an increased consultation rate in women (IRR = 2.30, 95% CI = 1.08-4.90) but a reduced rate in men (IRR = 0.43, 95% CI = 0.22-0.84), interaction p = 0.003. CONCLUSIONS: These data raise the possibility that both increased health anxiety and number of bothersome somatic symptoms predict frequent medical consultations. A more complex model of predicting future health care use is needed than has been studied previously, which is potentially relevant to the current discussions of the proposed DSM-V and International Classification of Diseases, 11th Revision, diagnostic guidelines regarding complex somatic symptom disorders.

The epidemiology of multiple somatic symptoms.

BACKGROUND: The risk factors for a high total somatic symptom count are unclear; and it is not known whether total somatic symptoms count is a predictor of impaired health status. METHOD: A prospective population-based cohort study in North West England. Randomly sampled residents (1443 participants; 58% response) completed questionnaires to determine number of somatic symptoms (SSI), health status and a wide range of risk factors; 741 completed questionnaires 1 year later. We used logistic regression to identify risk factors for high SSI at follow-up and for persistently high SSI. We used ANCOVAR and multiple regression to assess whether baseline SSI predicted health status at follow-up. RESULTS: Twenty-one percent of participants scored over 25 on the Somatic Symptom Inventory (SSI) at baseline and 14% at both baseline and follow-up. Risk factors for a persistent high SSI were: fewer than 12 years of education, separated, widowed or divorced status, reported psychological abuse during childhood, co-existing medical illnesses, anxiety and depression. In multivariate analysis baseline SSI predicted health status (SF12 physical component score and health-related quality of life (EuroQol)) 12 months later. Persistent high SSI was a clinically meaningful predictor of these outcomes. CONCLUSIONS: Our data support a biopsychosocial approach to somatic symptoms rather than the dualistic approach of identifying "medically unexplained" symptoms. The risk factors for total somatic symptom count were those associated with psychiatric disorders including physical illness. A persistent high somatic symptom count provides a readily measured dimension of importance in epidemiology as a predictor of health status.