Geographic Variation in Prevalence of Adult Obesity in China: Results From the 2013–2014 National Chronic Disease and Risk Factor Surveillance

Zhang, Xiao; Zhang, Mei; Zhao, Zhenping; Huang, Zhengjing; Deng, Qian; Li, Yichong; Pan, An; Li, Chun; Chen, Zhihua; Zhou, Maigeng; Yu, Chao; Stein, Alfred; Jia, Peng; Wang, Limin

doi:10.7326/m19-0477

Cited by 114 publications

(96 citation statements)

References 5 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The health status of Beijing residents has reached the level of high-income countries and regions, and the health status of women is better than that of men. Based on recent reports, the prevalence of overweight was the highest in Beijing among Chinese adults published in 2019, the prevalence of overweight was the highest in Beijing [8,9] . The differences in the health status of men and women might contribute to the sex differences in COVID-19 and the characteristics of COVID-19 may be different from those of other cities as well.…”

Section: Introductionmentioning

confidence: 99%

Sex Differences in Clinical Characteristics and Risk Factors for Disease Severity of Hospitalized Patients with COVID-19 in Beijing

Wang

Cao

et al. 2020

Preprint

View full text Add to dashboard Cite

Background: Recent studies reported that sex differences in patients with coronavirus disease-2019 (COVID-19). However the predictive value of sex differences in disease severity were less studied by previous scholars. Methods: All adults (≥18 years) diagnosed with COVID-19 and admitted to Beijing Ditan Hospital, Capital Medical University (admission date from January 13 to March 19, 2020) were included in samples. Data analyzed in this study included epidemiological, demographic, comorbidities, initial symptoms and signs, laboratory findings, imaging study, disease severity and in-hospital mortality. Results: A total of 185 inpatients were enrolled in the study, among whom 95 patients are males (51.4%). The mean age of all patients was 41 years. Based on the hospital record, the duration from symptoms initiation to hospital admission was longer for men than that for women. Moreover, the mean BMI of males was relatively higher compared to females (25.45vs22.29, p<.001). In addition, the proportion of male patients with CHD, NAFLD, smoking and drinking history was higher than females. During the hospital stay, compared to female patients, male patients were more prone to develop symptoms such as high fever, cough, and chill. Higher levels of AST, CK, CRP and FIB were also observed in male patients. Following this fact, more patients with abnormal CT activities, severe and critical symptoms were developed in male group than females. However, there was no difference in complications and outcome between two groups. By analyzing data comprehensively, we found out that age (analyzed in quartiles, OR: 1.087; 95% CI: 1.038–1.139; p <.001) and BMI (OR: 1.250; 95% CI: 1.046–1.493; p =.014) could be used to help predict disease severity. Conclusions: In this cohort of hospitalized patients in Beijing, male patients developed more clinical symptoms, obtained more abnormal laboratory test results, and showed higher rates in severity of COVID-19. Other than that, the severity of COVID-19 was positively correlated with age and BMI independently.

show abstract

Section: Introductionmentioning

confidence: 99%

Sex Differences in Clinical Characteristics and Risk Factors for Disease Severity of Hospitalized Patients with COVID-19 in Beijing

Wang

Cao

et al. 2020

Preprint

View full text Add to dashboard Cite

show abstract

“…1 The prevalence of obesity among children, adolescents, and adults worldwide is increasing every year. [2][3][4] According to the World Health Organization, the worldwide population rate of obesity (BMI ≥ 30) in 2016 was significantly higher in all countries, especially the Americas, Europe, and Oceania. With the obesity rate in some countries as high as 60.7%, the need for attention to this problem is urgent.…”

Section: Introductionmentioning

confidence: 99%

<p>The Mechanism of Traditional Chinese Medicine for the Treatment of Obesity</p>

Li¹,

Zhang²,

Li³

2020

DMSO

View full text Add to dashboard Cite

Obesity is the lipid deposition caused by the imbalance between energy intake and consumption caused by a variety of factors. Obesity can lead to multiple systemic complications. At present, the treatment of obesity is mainly lifestyle intervention, drug weight loss, and weight loss surgery, but the curative effect is limited or the side effects are serious. Traditional Chinese medicine plays a unique role in the treatment of obesity. Existing studies have found that traditional Chinese medicine can treat obesity in a variety of ways, such as regulating intestinal microflora, enhancing hormone level, regulating fat metabolism, and so on. In this review, we will introduce and summarize the mechanism of traditional Chinese medicine in the treatment of obesity.

show abstract

“…Proposed mechanisms linking obesity to cardiovascular and cerebrovascular disease include insulin resistance and chronic subclinical in ammation [26]. In recent years, the prevalence for obesity in the central region has been on the rise and increasing at a faster rate than the rate in eastern and western regions [27]. This could explain why the number of hypertension cases and deaths from hypertensive diseases are signi cantly higher in the central region than in the eastern and western regions [28].…”

Section: Regional Differencesmentioning

confidence: 99%

Analysis of lifetime death probability for major causes of death among residents in China

Yuan

Xiang

Borg

et al. 2020

Preprint

View full text Add to dashboard Cite

Background: Cumulative mortality rate and cumulative mortality risk are two commonly used indicators to measure the impact and severity of diseases. However, they are calculated during a defined life span and assume the subject does not die from other causes. This study aims to use a new indicator, lifetime death probability (LDP), to estimate the lifetime death probabilities for the top five leading causes of death in China and explore the regional differences and trends over time. Methods: LDPs were calculated using a probability additive formula and abridged life tables. Results: In 2014, LDPs for heart disease, cerebrovascular disease, malignancy, respiratory disease, and injury and poisoning were 24.4%, 23.7%, 19.2%, 15.5%, and 5.3%, respectively. The LDPs for heart disease and malignancy increased by 7.3% and 0.5%, respectively, compared to those from 2004 to 2005. In contrast, the LDPs for cerebrovascular and respiratory disease decreased by 1.0% and 3.9%, respectively, compared to those in 2004-2005. Across the eastern, central and western regions, malignancy had the highest LDP in the eastern region, cerebrovascular and heart diseases in the central region, and respiratory diseases, and injury and poisoning in the western region. Conclusions: LDP is an effective indicator for comparing health outcomes and can be applied for future disease surveillance. Heart disease and malignancy were the two most common causes of death in China, but with regional differences. There is a need to implement targeted measures to prevent chronic diseases in different regions.

show abstract

Geographic Variation in Prevalence of Adult Obesity in China: Results From the 2013–2014 National Chronic Disease and Risk Factor Surveillance

Cited by 114 publications

References 5 publications

Sex Differences in Clinical Characteristics and Risk Factors for Disease Severity of Hospitalized Patients with COVID-19 in Beijing

Sex Differences in Clinical Characteristics and Risk Factors for Disease Severity of Hospitalized Patients with COVID-19 in Beijing

<p>The Mechanism of Traditional Chinese Medicine for the Treatment of Obesity</p>

Analysis of lifetime death probability for major causes of death among residents in China

Contact Info

Product

Resources

About