Metabolic health: a priority for the post-pandemic era

Endocrinology, The Lancet Diabetes &

doi:10.1016/s2213-8587(21)00058-9

Cited by 10 publications

(3 citation statements)

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“…In addition, obesity, of which physical inactivity is one of the major causes, increases the risk of other metabolic diseases such as type 2 diabetes and nonalcoholic fatty liver disease. A comparative risk assessment analysis in the US reported that 30% of COVID-19 hospitalizations were attributable to obesity and 21% were attributable to diabetes [37]. Thus, to increase or at least maintain daily physical activity during the pandemic benefits not only individual health but also public health by reducing the burden on healthcare systems.…”

Section: Future Perspectives Of Wearable Devices During Pandemicsmentioning

confidence: 99%

Daily Physical Activity and Sleep Measured by Wearable Activity Trackers during the Coronavirus Disease 2019 Pandemic: A Lesson for Preventing Physical Inactivity during Future Pandemics

Hamasaki¹

2021

Applied Sciences

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Wearable activity trackers are devices that are comfortably worn on the body and are designed to be effective in monitoring daily physical activity and improving physical fitness of the wearer. This review aimed to investigate the impact of the coronavirus disease 2019 (COVID-19) pandemic on physical activity measured using wearable activity trackers and discuss future perspectives on wearable activity trackers during pandemics. Daily physical activity was significantly decreased during the COVID-19 pandemic. The implementation of strict public health measures, such as total lockdown, can decrease people’s physical activity by 50% or more of that prior to the lockdown. Physical inactivity is significantly associated with several health problems, including obesity, diabetes, cardiovascular disease, and cancers; therefore, an effective healthcare system to prevent physical inactivity during pandemics should be established. It is essential to create a network between healthcare organizations and wearable activity tracker users to monitor real-time health status and prepare for the future pandemic.

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Section: Future Perspectives Of Wearable Devices During Pandemicsmentioning

confidence: 99%

Daily Physical Activity and Sleep Measured by Wearable Activity Trackers during the Coronavirus Disease 2019 Pandemic: A Lesson for Preventing Physical Inactivity during Future Pandemics

Hamasaki¹

2021

Applied Sciences

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“…Long COVID, defined by the persistence of symptoms beyond 3 months of SARS-CoV-2 infection, is expected to substantially alter millions of lives with a broad spectrum of manifestations since survivors of COVID-19 now exceed hundreds of millions globally [2,3]. Although socioeconomic characteristics, lifestyle factors, poor metabolic health, and preexisting chronic conditions were suggested to be risk factors for COVID-19, the whole impactors are still elusive [4][5][6]. While vaccines, effective treatments, and mitigation measures have been launched to deal with COVID-19, understanding the risk factors of COVID-19 would be of great importance in building up people's health and preventing acute infectious disease in the future [7].…”

Section: Introductionmentioning

confidence: 99%

Impact of ultra-processed food intake on the risk of COVID-19: a prospective cohort study

Zhou

Zhang

et al. 2022

Eur J Nutr

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Purpose Nutrition plays a key role in supporting the human immune system and reducing the risk of infections. However, there is limited evidence exploring the relationship between diet and the risk of COVID-19. This study aimed to assess the associations between consumption of ultra-processed foods (UPF) and COVID-19 risk. Methods In total, 41,012 participants from the UK Biobank study with at least 2 of up to 5 times 24-h dietary assessments were included in this study. Dietary intakes were collected using an online 24-h dietary recall questionnaire and food items were categorized according to their degree of processing by the NOVA classification. COVID-19 infection was defined as individuals tested COVID-19 positive or dead of COVID-19. Association between average UPF consumption (% daily gram intake) and COVID-19 infection was assessed by multivariable logistic regression adjusted for potential confounders. Results Compared to participants in the lowest quartile of UPF proportion (% daily gram intake) in the diet, participants in the 2nd, 3rd, and highest quartiles were associated with a higher risk of COVID-19 with the odds ratio (OR) value of 1.03 (95% CI: 0.94–1.13), 1.24 (95% CI: 1.13–1.36), and 1.22 (95% CI: 1.12–1.34), respectively ( P for trend < 0.001), after adjusting for potential confounders. The results were robust in a series of sensitivity analyses. No interaction effect was identified between the UPF proportions and age groups, education level, body mass index, and comorbidity status. BMI mediated 13.2% of this association. Conclusion Higher consumption of UPF was associated with an increased risk of COVID-19 infection. Further studies are needed to better understand the underlying mechanisms in such association. Supplementary Information The online version contains supplementary material available at 10.1007/s00394-022-02982-0.

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“…Poor metabolic health 1,2 has been associated with increased risk and severity of coronavirus disease 2019 (COVID-19), and excess adiposity or preexisting liver disease might be causally associated with increased risk of death from COVID-19. 3,4 Underlying these conditions is the contribution of a diet, which may be independently associated with COVID-19 risk and severity.…”

Section: Introductionmentioning

confidence: 99%

Diet quality and risk and severity of COVID-19: a prospective cohort study

Merino

Joshi

Nguyen

et al. 2021

Preprint

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ObjectivePoor metabolic health and certain lifestyle factors have been associated with risk and severity of coronavirus disease 2019 (COVID-19), but data for diet are lacking. We aimed to investigate the association of diet quality with risk and severity of COVID-19 and its intersection with socioeconomic deprivation.DesignWe used data from 592,571 participants of the smartphone-based COVID Symptom Study. Diet quality was assessed using a healthful plant-based diet score, which emphasizes healthy plant foods such as fruits or vegetables. Multivariable Cox models were fitted to calculate hazard ratios (HR) and 95% confidence intervals (95% CI) for COVID-19 risk and severity defined using a validated symptom-based algorithm or hospitalization with oxygen support, respectively.ResultsOver 3,886,274 person-months of follow-up, 31,815 COVID-19 cases were documented. Compared with individuals in the lowest quartile of the diet score, high diet quality was associated with lower risk of COVID-19 (HR, 0.91; 95% CI, 0.88-0.94) and severe COVID-19 (HR, 0.59; 95% CI, 0.47-0.74). The joint association of low diet quality and increased deprivation on COVID-19 risk was higher than the sum of the risk associated with each factor alone (Pinteraction=0.005). The corresponding absolute excess rate for lowest vs highest quartile of diet score was 22.5 (95% CI, 18.8-26.3) and 40.8 (95% CI, 31.7-49.8; 10,000 person-months) among persons living in areas with low and high deprivation, respectively.ConclusionsA dietary pattern characterized by healthy plant-based foods was associated with lower risk and severity of COVID-19. These association may be particularly evident among individuals living in areas with higher socioeconomic deprivation.

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Metabolic health: a priority for the post-pandemic era

Cited by 10 publications

References 0 publications

Daily Physical Activity and Sleep Measured by Wearable Activity Trackers during the Coronavirus Disease 2019 Pandemic: A Lesson for Preventing Physical Inactivity during Future Pandemics

Daily Physical Activity and Sleep Measured by Wearable Activity Trackers during the Coronavirus Disease 2019 Pandemic: A Lesson for Preventing Physical Inactivity during Future Pandemics

Impact of ultra-processed food intake on the risk of COVID-19: a prospective cohort study

Diet quality and risk and severity of COVID-19: a prospective cohort study

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