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1.
Diabetic Medicine ; 40(Supplement 1):106, 2023.
Article in English | EMBASE | ID: covidwho-20235970

ABSTRACT

Aim: To investigate the impact of Covid-19 on daily activity, maximal physical performance, and clinical frailty of people living with diabetes (any type) 1-year post-hospitalisation for Covid-19 in the UK. Method(s): This study is part of PHOSP-Covid, a multicentre long-term cohort study that recruited adults (>=18 years) who were discharged from one of the 83 NHS hospitals across the four UK nations following a clinical diagnosis of Covid-19 before March 31, 2021. We compared The Functional Assessment of Chronic Illness Therapy (FACIT)-Fatigue, Incremental shuttle walk test (ISWT) distance (m), and clinical frailty (Rockwood frailty level), 5-month and 1-year after discharge in patients with and without diabetes. Result(s): Out of 2545 individuals (538 (21%) with diabetes), the proportion of individuals who classified as either 'mildly frail' or 'moderately or higher frail severity' was higher in individuals with diabetes (month 5: diabetes 9.9%, no diabetes 4.7%;month 12: diabetes 8%, no diabetes 4.9%). ISWT distance in patients with diabetes were significantly lower at both follow-ups but this measure improved from 5-months to 1-year (290 [95% CI: 190-440] vs 370 [250-560] for diabetes and 340 [210-450] vs 420 [270-590] for those without, both p < 0.01). At both time points, people with diabetes reported higher levels of fatigue (36 [24-44] vs 39 [25-46] at 5-month (p = 0.03);37 [26-45] vs 40 [28-47] at 1-year visit (p < 0.01)). Conclusion(s): One year after hospitalisation long Covid is more observed in people with diabetes.

2.
BMC Public Health ; 21(1): 773, 2021 04 22.
Article in English | MEDLINE | ID: covidwho-1199905

ABSTRACT

BACKGROUND: Health and key workers have elevated odds of developing severe COVID-19; it is not known, however, if this is exacerbated in those with irregular work patterns. We aimed to investigate the odds of developing severe COVID-19 in health and shift workers. METHODS: We included UK Biobank participants in employment or self-employed at baseline (2006-2010) and with linked COVID-19 data to 31st August 2020. Participants were grouped as neither a health worker nor shift worker (reference category) at baseline, health worker only, shift worker only, or both, and associations with severe COVID-19 investigated in logistic regressions. RESULTS: Of 235,685 participants (81·5% neither health nor shift worker, 1·4% health worker only, 16·9% shift worker only, and 0·3% both), there were 580 (0·25%) cases of severe COVID-19. The odds of severe COVID-19 was higher in health workers (adjusted odds ratio: 2·32 [95% CI: 1·33, 4·05]; shift workers (2·06 [1·72, 2·47]); and in health workers who worked shifts (7·56 [3·86, 14·79]). Being both a health worker and a shift worker had a possible greater impact on the odds of severe COVID-19 in South Asian and Black and African Caribbean ethnicities compared to White individuals. CONCLUSIONS: Both health and shift work (measured at baseline, 2006-2010) were independently associated with over twice the odds of severe COVID-19 in 2020; the odds were over seven times higher in health workers who work shifts. Vaccinations, therapeutic and preventative options should take into consideration not only health and key worker status but also shift worker status.


Subject(s)
COVID-19 , Delivery of Health Care , Ethnicity , Humans , SARS-CoV-2 , White People
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