Impact of obesity on COVID-19 patients

Yu, Wanqi; Rohli, Kristen E.; Yang, Shujuan; Jia, Peng

doi:10.1016/j.jdiacomp.2020.107817

Cited by 92 publications

(87 citation statements)

References 136 publications

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“…For instance, our study provided a comprehensive picture of changes of dietary patterns among youths in China for the first time, and the survey tool used in the study could be also employed in other countries. Besides, this study revealed that the unhealthy eating patterns which underlie the changed consumption may last for a prolonged time period, which could contribute to more severe overweight/obesity issues and even more chronic disease burdens at later stages (26,27) . Thus, our findings imply some Values under a given variable were marked with the superscript a, if the difference across educational levels (high school students, undergraduate students and graduate students) within the overall population (total) or within a given sex (male, female) was significant (P < 0•05); marked with the superscript b, if the difference between sex within a given educational level was significant (P < 0•05); and marked by asterisks, if the difference before and after lockdown within a given educational level and sex was significant (*P < 0•05, **P < 0•01, ***P < 0•001).…”

Section: Discussionmentioning

confidence: 90%

Impacts of lockdown on dietary patterns among youths in China: the COVID-19 Impact on Lifestyle Change Survey

Zhang

et al. 2021

Public Health Nutr.

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Objective: To assess changes in dietary patterns among youths in China after COVID-19 lockdown. Design: This study was based on the COVID-19 Impact on Lifestyle Change Survey (COINLICS), a national retrospective survey established in early May 2020. The questionnaire was distributed through social media platforms. The sociodemographic information and routine dietary patterns before and after lockdown of participants were investigated. t tests and χ2 tests were used to compare the differences in consumption patterns of twelve major food groups and beverages between sex and across educational levels before and after lockdown. Factor analysis was employed to obtain the main dietary patterns. Settings: China. Participants: A total of 10 082 youths. Results: A significant decrease was observed in the average weekly frequency of rice intake, while significant increases were observed in the frequency of intake of wheat products, other staple foods, fish, eggs, fresh vegetables, preserved vegetables, fresh fruit and dairy products (all P values < 0·01). Heterogeneities of average weekly frequency existed between sex and across educational levels to different extents. The three main dietary patterns derived were loaded most heavily on dairy products, rice and wheat products, separately; the rice pattern became more dominant than the wheat products pattern after lockdown. The frequency of sugar-sweetened beverage consumption had decreased, while the frequency of other beverages had increased. Conclusions: Our timely survey would inform policymakers and health professionals of these significant changes in youths’ dietary patterns after lockdown, with heterogeneities observed to different extents between sex and across educational levels, for better policy-making and public health practice.

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Section: Discussionmentioning

confidence: 90%

Impacts of lockdown on dietary patterns among youths in China: the COVID-19 Impact on Lifestyle Change Survey

Zhang

et al. 2021

Public Health Nutr.

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“…The increase in the number of people with obesity is a global trend [ 15 , 16 , 17 ]. Many studies have underlined the association between obesity and health problems, such as cardiovascular disease [ 18 , 19 ], metabolic diseases [ 20 , 21 ], cancer [ 22 , 23 ], and a higher risk of severe COVID-19 [ 24 , 25 , 26 , 27 ]. Although obesity has been considered as primarily a problem in Western countries, urbanization is setting the stage for an obesity epidemic in Asia [ 28 , 29 , 30 ], in some African countries such as Sudan [ 31 ], and in India [ 32 ], and is thus becoming a global problem [ 16 , 33 ].…”

Section: Introductionmentioning

confidence: 99%

Healthy Food on the Twitter Social Network: Vegan, Homemade, and Organic Food

Pilař

Stanislavská

Kvasnička

2021

IJERPH

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Online social networks have become an everyday aspect of many people’s lives. Users spend more and more time on these platforms and, through their interactions on social media platforms, they create active and passive digital footprints. These data have a strong potential in many research areas; indeed, understanding people’s communication on social media is essential for understanding their attitudes, experiences, behaviors and values. Researchers have found that the use of social networking sites impacts eating behavior; thus, analyzing social network data is important for understanding the meaning behind expressions used in the context of healthy food. This study performed a communication analysis of data from the social network Twitter, which included 666,178 messages posted by 168,134 individual users. These data comprised all tweets that used the #healthyfood hashtag between 2019 and 2020 on Twitter. The results revealed that users most commonly associate healthy food with a healthy lifestyle, diet, and fitness. Foods associated with this hashtag were vegan, homemade, and organic. Given that people change their behavior according to other people’s behavior on social networks, these data could be used to identify current and future associations with current and future perceptions of healthy food characteristics.

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“…The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) causes an acute respiratory and systemic disease known as coronavirus disease (COVID-19). Increasing number of studies have linked obesity with adverse outcomes in patients who develop COVID-19 [1]. Systemic adiposity at all levels (subcutaneous, visceral and ectopic) may complicate the management of acute lung and systemic diseases such as COVID-19 through mechanical and inflammatory complications that commonly occur in the ‘chronic diseases associated with adiposity’ [2].…”

Section: Introductionmentioning

confidence: 99%

Obesity is a strong risk factor for short-term mortality and adverse outcomes in Mexican patients with COVID-19: a national observational study

et al. 2021

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Conflicting results have been obtained through meta-analyses for the role of obesity as a risk factor for adverse outcomes in patients with coronavirus disease-2019 (COVID-19), possibly due to the inclusion of predominantly multimorbid patients with severe COVID-19. Here, we aimed to study obesity alone or in combination with other comorbidities as a risk factor for short-term all-cause mortality and other adverse outcomes in Mexican patients evaluated for suspected COVID-19 in ambulatory units and hospitals in Mexico. We performed a retrospective observational analysis in a national cohort of 71 103 patients from all 32 states of Mexico from the National COVID-19 Epidemiological Surveillance Study. Two statistical models were applied through Cox regression to create survival models and logistic regression models to determine risk of death, hospitalisation, invasive mechanical ventilation, pneumonia and admission to an intensive care unit, conferred by obesity and other comorbidities (diabetes mellitus (DM), chronic obstructive pulmonary disease, asthma, immunosuppression, hypertension, cardiovascular disease and chronic kidney disease). Models were adjusted for other risk factors. From 24 February to 26 April 2020, 71 103 patients were evaluated for suspected COVID-19; 15 529 (21.8%) had a positive test for SARS-CoV-2; 46 960 (66.1%), negative and 8614 (12.1%), pending results. Obesity alone increased adjusted mortality risk in positive patients (hazard ratio (HR) = 2.7, 95% confidence interval (CI) 2.04–2.98), but not in negative and pending-result patients. Obesity combined with other comorbidities further increased risk of death (DM: HR = 2.79, 95% CI 2.04–3.80; immunosuppression: HR = 5.06, 95% CI 2.26–11.41; hypertension: HR = 2.30, 95% CI 1.77–3.01) and other adverse outcomes. In conclusion, obesity is a strong risk factor for short-term mortality and critical illness in Mexican patients with COVID-19; risk increases when obesity is present with other comorbidities.

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Impact of obesity on COVID-19 patients

Cited by 92 publications

References 136 publications

Impacts of lockdown on dietary patterns among youths in China: the COVID-19 Impact on Lifestyle Change Survey

Impacts of lockdown on dietary patterns among youths in China: the COVID-19 Impact on Lifestyle Change Survey

Healthy Food on the Twitter Social Network: Vegan, Homemade, and Organic Food

Obesity is a strong risk factor for short-term mortality and adverse outcomes in Mexican patients with COVID-19: a national observational study

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