Novel Coronavirus (COVID‐19) Epidemic: What Are the Risks for Older Patients?

Garnier‐Crussard, Antoine; Forestier, E.; Gilbert, Thomas; Krolak‐Salmon, Pierre

doi:10.1111/jgs.16407

Cited by 122 publications

(105 citation statements)

References 7 publications

(9 reference statements)

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“…Noticeably, we also observed negative associations between COVID-19 CFR and CVD death rate and diabetes prevalence in some analyses, which might be partially explained by the competing risk between the deaths and/or comorbidities, 74 because most of COVID-19 deaths are among the elderly and have one or more comorbidities. 75–77 Therefore, the COVID-19 CFR worldwide deserves deeper investigation with more detailed comorbidity information.…”

Section: Discussionmentioning

confidence: 99%

COVID-19 case-fatality rate and demographic and socioeconomic influencers: worldwide spatial regression analysis based on country-level data

2020

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ObjectiveTo investigate the influence of demographic and socioeconomic factors on the COVID-19 case-fatality rate (CFR) globally.DesignPublicly available register-based ecological study.SettingTwo hundred and nine countries/territories in the world.ParticipantsAggregated data including 10 445 656 confirmed COVID-19 cases.Primary and secondary outcome measuresCOVID-19 CFR and crude cause-specific death rate were calculated using country-level data from the Our World in Data website.ResultsThe average of country/territory-specific COVID-19 CFR is about 2%–3% worldwide and higher than previously reported at 0.7%–1.3%. A doubling in size of a population is associated with a 0.48% (95% CI 0.25% to 0.70%) increase in COVID-19 CFR, and a doubling in the proportion of female smokers is associated with a 0.55% (95% CI 0.09% to 1.02%) increase in COVID-19 CFR. The open testing policies are associated with a 2.23% (95% CI 0.21% to 4.25%) decrease in CFR. The strictness of anti-COVID-19 measures was not statistically significantly associated with CFR overall, but the higher Stringency Index was associated with higher CFR in higher-income countries with active testing policies (regression coefficient beta=0.14, 95% CI 0.01 to 0.27). Inverse associations were found between cardiovascular disease death rate and diabetes prevalence and CFR.ConclusionThe association between population size and COVID-19 CFR may imply the healthcare strain and lower treatment efficiency in countries with large populations. The observed association between smoking in women and COVID-19 CFR might be due to the finding that the proportion of female smokers reflected broadly the income level of a country. When testing is warranted and healthcare resources are sufficient, strict quarantine and/or lockdown measures might result in excess deaths in underprivileged populations. Spatial dependence and temporal trends in the data should be taken into account in global joint strategy and/or policy making against the COVID-19 pandemic.

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Section: Discussionmentioning

confidence: 99%

COVID-19 case-fatality rate and demographic and socioeconomic influencers: worldwide spatial regression analysis based on country-level data

2020

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“…In this study, among the factors that were associated with lower odds of adopting unhealthy lifestyle changes was older age (> 40 years). While older adults were at a higher risk of complications and severity of the coronavirus infection (43)(44)(45), it appeared that younger individuals seemed to be more vulnerable to the effect of con nement and exhibited an overall higher frequency of unhealthy changes in their lifestyles. It is possible that younger adults are less prepared to cope with the lockdown and its consequences as well as stress, anxiety, and fear.…”

Section: Discussionmentioning

confidence: 99%

Diet and Lifestyle Changes During COVID-19 Lockdown in the United Arab Emirates: Results of a Cross-Sectional Study

Radwan

Kitbi

Hasan

et al. 2020

Preprint

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Background: Lockdown measures were implemented in many countries to limit the spread of the COVID-19 pandemic. However, such restrictions could precipitate unintended negative consequences on lifestyle behaviors. The main objective of this study was to investigate the prevalence and determinants of unhealthy behavior changes during the COVID-19 lockdown among residents of the United Arab Emirates (UAE).Methods: A cross-sectional web-based survey of adults residing in the UAE was carried out during lockdown (n=2060). Using a multi-component questionnaire, the collected data included questions regarding the following lifestyle changes: Increased dietary intake, increased weight, decreased physical activity, decreased sleep, and increased smoking. An unhealthy lifestyle change score was calculated based on the number of unhealthy lifestyle changes each participant reported. In addition, sociodemographic and living conditions information was collected. Descriptive statistics as well as simple and multiple linear regression analyses were used to examine the prevalence and determinants of the unhealthy lifestyle changes considered in this study.Results: Among the unhealthy lifestyle changes examined, increased food intake was the most common (31.8%), followed by decreased physical activity (30%), increased weight (29.4%), decreased sleep (20.8%), and increased smoking (21%). In addition to identifying the correlates of each of the aforementioned lifestyle changes, the results of the multiple regression linear analyses revealed the following correlates for the overall unhealthy lifestyle change score: females (β=0.32, CI: 0.22;0.42), living in an apartment (β=0.12, CI: 0.003;0.23) and being overweight/obese (β=0.24, CI: 0.15;0.32) had higher scores, while older adults (>40 years) had lower scores (β=-0.23, CI: -0.34;-0.12).Conclusion: The COVID-19 lockdown has resulted in a high prevalence of unhealthy lifestyle behaviors and practices among UAE residents. The findings of this study provided the evidence base for officials to design interventions targeting high-risk groups and aiming to improve healthy lifestyle factors among residents during the pandemic.

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“…The geriatric population faces special risks for COVID-19 (22). Predisposition and severe outcomes enhance the risks for elderly people (22). Older age and underlying diseases have been noted as the main factors for vulnerability to COVID-19.…”

Section: Geriatric Risk Factors For Covid-19mentioning

confidence: 99%

Geriatric Population During the COVID-19 Pandemic: Problems, Considerations, Exigencies, and Beyond

Dhama

Patel

Kumar

et al. 2020

Front. Public Health

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The coronavirus disease 2019 (COVID-19) pandemic wreaked havoc worldwide, with more than 20 million confirmed cases and nearly 0. 75 million deaths as of 10th August 2020. Various factors determine the severity and symptoms of this infection. Older age and underlying diseases are the challenges being faced in controlling and treating COVID-19. In 2019, 703 million of the global population was older than 65 years of age. The estimated mortality due to COVID-19 in people older than 76 years of age is reportedly 18%. Frequent infections in older people, higher disease severity, and increased mortality are major challenges in the implementation of appropriate preventive measures and future strategies to protect against this disease in geriatric population. Poor health status, weak immune function, lowered organ function, increased probability of multiple underlying diseases, and poor attention to personal health can increase the susceptibility to various diseases in the geriatric population. Concerning inadequate immunity, the decrease expression of receptors and exaggerated pathophysiologic responses can be debilitating. However, future studies will reveal the hidden facets in these aspects in this COVID-19 catastrophe. In this article, we reviewed the main concerns of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection in the geriatric population, including the risk of acquiring severe COVID-19 resulting in mortality, variation in clinical manifestations, and other pandemic-related concerns. We also discussed the need for increasing attention toward the elderly, taking appropriate prevention and control measures, and considering geriatric-related adjustments in vaccine design and development.

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Novel Coronavirus (COVID‐19) Epidemic: What Are the Risks for Older Patients?

Cited by 122 publications

References 7 publications

COVID-19 case-fatality rate and demographic and socioeconomic influencers: worldwide spatial regression analysis based on country-level data

COVID-19 case-fatality rate and demographic and socioeconomic influencers: worldwide spatial regression analysis based on country-level data

Diet and Lifestyle Changes During COVID-19 Lockdown in the United Arab Emirates: Results of a Cross-Sectional Study

Geriatric Population During the COVID-19 Pandemic: Problems, Considerations, Exigencies, and Beyond

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