Body Mass Index In China Research Articles

Trend analysis of stroke subtypes mortality attributable to high body-mass index in China from 1990 to 2019

BackgroundThe prevalence of stroke disability associated with high BMI has significantly increased over the past three decades. However, it remains uncertain whether high body-mass index (BMI) exerts a similar impact on the disease burden of different stroke subtypes. The aim of this study is to assess the long-term trends of stroke and subtypes mortality attributable to high BMI in China between 1990 and 2019.MethodsData on stroke and subtypes mortality attributable to high BMI in China was extracted in the Global Burden of Disease (GBD) 2019. The trends of age-standardized mortality rate (ASMR) were calculated using the linear regression and age-period-cohort framework.ResultsThe changing trend of ASMR on stroke attributable to high BMI in China differed among subtypes, with an estimated annual percentage change (EAPC) and 95%CI of 2.04 (1.86 to 2.21) for ischemic stroke (IS), 0.36 (-0.03 to 0.75) for intracerebral hemorrhage (ICH), and − 4.62 (-5.44 to -3.78) for subarachnoid hemorrhage (SAH). Net and local drift analyses revealed a gradual increase in the proportion of older people with IS and a gradual increase in the proportion of younger people with hemorrhagic strokes. The cohort and period rate ratios varied by subtype, showing an increasing trend for IS and ICH but a decreasing trend for SAH. The stroke mortality attributable to high BMI increased significantly with age for IS and ICH, peaking between ages 50–70 for SAH. Notably, males had higher ASMR related to stroke but exhibited slighter declines or higher growth compared to females in China. Moreover, the population affected by fatal strokes tended to be older among females but more evenly distributed across a wider age range encompassing both younger and older individuals.ConclusionThe research findings indicate a rising trend in the ASMR of stroke and subtypes attributable to high BMI in China from 1990 to 2019, with different patterns of change for different subtypes, genders and ages. Consequently, it is imperative for public health authorities in China to formulate guidelines for specific stroke subtypes, genders and ages to prevent the burden of stroke attributable to high BMI.

Long-term trends in Alzheimer’s disease and other dementias deaths with high body mass index in China from 1990 to 2019, and projections up to 2042

BackgroundIn China, the rising prevalence of high Body Mass Index (BMI) is linked to increasing health issues, including Alzheimer’s disease (AD). This study analyzes mortality trends related to AD and other dementias associated with high BMI from 1990 to 2019, considering age, period, and birth cohort effects, and forecasts future trends.MethodsWe analyzed mortality data for AD and other dementias linked to high BMI in Chinese residents from the Global Burden of Disease 2019 database. Using Joinpoint regression, we examined age-standardized mortality rate (ASMR) trends and calculated annual and average annual percentage changes (APC and AAPC). Age-period-cohort models provided deeper insights, with Bayesian models used to project future ASMR trends to 2042.ResultsFrom 1990 to 2019, the ASMR for AD and other dementias associated with high BMI in China showed an overall increasing trend. Females had a lower increase rate than males, yet their overall levels remained higher. Specifically, the ASMR for males increased by an average of 2.70% per year, peaking between 2006 and 2010, while for females, it increased by an average of 2.29% per year, also peaking in the same period. Age-period-cohort analysis revealed increasing mortality relative risk with age and period, but a decrease with birth cohort. Projections suggest a continued rise in ASMR by 2042, with rates for males and females expected to be 2.48/100,000 and 2.94/100,000, respectively.ConclusionThe increasing mortality trend from AD and other dementias associated with high BMI highlights the urgent need for policy interventions focused on overweight prevention, particularly vital for addressing the health challenges in China’s aging population.

Prevalence of Diabetes by BMI: China Nutrition and Health Surveillance (2015–2017) and U.S. National Health and Nutrition Examination Survey (2015–2018)

IntroductionThe risk of diabetes begins at a lower body mass index (BMI) among Asian adults. This study compares the prevalence of diabetes in the United States and China by BMI. MethodsData from the 2015-2017 China Nutrition and Health Surveillance (n=176,223) and the 2015-2018 US National Health and Nutrition Examination Survey (n=4,464) were used. Diagnosed diabetes was self-reported. Undiagnosed diabetes was no report of diagnosed diabetes and fasting plasma glucose >=126 mg/dL or hemoglobin A1c>=6.5%. Predicted age-adjusted prevalence estimates by BMI were produced using sex- and country-specific logistic regression models. ResultsIn China, the age-adjusted prevalence of total diabetes was 7.8% (95% CI 7.4-8.3%), lower than the 14.6% (95% CI 13.1-16.3%) in the US. The prevalence of diagnosed diabetes was also lower in China than the US. There were no statistically significant differences in the prevalence of undiagnosed diabetes between China and the US. The distribution of BMI in China is lower than in the US and the predicted prevalence of total diabetes is similar in China and the US when comparing adults with the same BMI. The predicted prevalence of undiagnosed diabetes was higher in China than in the US for both men and women and this disparity increased with BMI. When comparing adults at the same BMI there was little difference in prevalence of total diabetes, but diagnosed diabetes was lower in China than the US and undiagnosed was higher. ConclusionWhile differences in BMI appear to explain nearly all of the differences in total diabetes prevalence in the two countries, not all factors that are associated with diabetes risk have been investigated.

The relationship between Marriage and Body Mass Index in China：Evidence from the China Health and Nutrition Survey

This study investigates the impact of marriage on the body mass index (BMI) of individuals aged 18–45 in China. We used data from ten rounds of the China Health and Nutrition Survey spanning from 1989 to 2015, and applied Difference-in-Differences (DID) model to examine the impact of marriage on BMI. Our findings reveal that marriage has a significant positive effect on BMI, especially among males, with post-marriage elevation of male BMI continuing to increase over time. Moreover, marriage is associated with a 5.2% increase in the prevalence of overweight and a 2.5% rise in the incidence of obesity among males. While energy intake levels for Chinese women did not undergo significant changes after marriage, nor did their energy expenditure levels, men experienced a marked alteration in energy balance, characterized by an increase in caloric intake and a decrease in physical activity. Furthermore, our study confirms significant period differences in the effect of marriage on BMI, with post-marriage elevation of male BMI continuing to rise over time. In contrast, there was no clear trend for female BMI after marriage. Our research highlights the importance of promoting physical fitness and health management within families while fostering intimate relationships through marriage. Public health policies should consider the potential impact of marriage as an intervention window for addressing individuals' weight management needs. Distinct post-marriage body management plans should be designed for both genders.

Age-Period-Cohort Analysis of Long-Term Trends in Ischemic Stroke Mortality in China Caused by Specific Risk Factors from 1990 to 2019

Objective: The objective of this study was to study the primary risk factors for the long-term trends of mortality rates in ischemic stroke (IS) in China. Methods: Using the Global Burden of Disease Study 2019 (GBD 2019) database, research was conducted on the 11 primary risk factors for the mortality rates of IS in China from 1990 to 2019. This study employed joinpoint regression software and the age-period-cohort method to evaluate the trends of mortality rates divided by age, period, and cohort over time. Results: From 1990 to 2019, the age-standardized mortality rate (ASMR) caused by a diet high in red meat and high body mass index in China showed an upward trend. ASMR increased first and then decreased due to smoking, diet high in sodium, particulate matter pollution, high fasting plasma glucose, and high systolic blood pressure. Low-density lipoprotein cholesterol (LDL-C), kidney dysfunction, low temperature, and lead exposure remained relatively stable during this period. In the 35–45 age group, the mortality rate of IS due to high LDL-C was up to about 60%, and smoking affected men more than women. Overall, high LDL-C, high systolic blood pressure, and particulate matter pollution were the most common risk factors in patients with IS. The risk of death rose with age. The period and cohort relative risks showed that metabolic risk factors had the greatest impact on the mortality of IS. Conclusion: Metabolic risk factors have become the primary risk factors for the ASMR of IS in China. Relevant authorities should pay attention to their long-term effects on IS. Effective public health policies and interventions should be implemented to reduce the burden of IS.

A comparison of the burden of knee osteoarthritis attributable to high body mass index in China and globally from 1990 to 2019.

Excess body mass index (BMI) plays a key role in the onset and progression of knee osteoarthritis (knee OA). However, the burden of knee OA attributable to high BMI at the global, Chinese, and regional levels have received far too little attention. The aim of this study is to provide evidence to support the design of policy by investigating long-term trends of years lived with disability (YLDs) for knee OA. To illustrate the trends of YLDs for knee OA attributable to high BMI and the temporal trends of the YLDs rate by age, period, and cohort, Joinpoint regression software and age-period-cohort (APC) were used to analyze the YLDs data of knee OA from the Global Burden of Disease (GBD) 2019. In China, there were 549,963.5 YLDs for knee OA attributable to high BMI in 2019, which had increased by 460.7% since 1990. From 1990 to 2019, age-standardized disability-adjusted life year rate (ASDR) of knee OA attributable to high BMI trended upwards. The average annual percent change (AAPC) of knee OA attributable to high BMI in China and globe were 3.019, 1.419%, respectively. The longitudinal age curve of the APC model showed that the YLDs rates of knee OA due to high BMI increased with age, and YLDs rates were higher among females than males. The period rate ratios (RRs) of knee OA due to high BMI increased significantly. The cohort RRs of knee OA due to high BMI increased among those born between 1900 and 1970. The net drifts of knee OA attributable to high BMI in China and globe were above 1. Compared with global condition, the net drift values of knee OA attributable to high BMI in China was higher. Compared with females, males had higher net drift value. Countries with high socio-demographic index (SDI) have a much higher burden of knee OA caused by high BMI than countries with low SDI. In China, high BMI is a substantial cause of knee OA, the incidence of which has been increasing since 1990. In addition, women and the elderly are more vulnerable to knee OA caused by high BMI. The Chinese government must take the long-term impact of high BMI on knee OA into account and implement effective public health policies and resort to interventions to reduce the burden as soon as possible.

Socioeconomic inequalities in dementia burden related to high body mass index, 2005–2018: findings from 1.25 million Chinese adults

Dementia has become a major public health concern worldwide, but comprehensive assessments of dementia burden attributable to high body mass index (BMI) in China have not been done. We used a temporal-spatial Bayesian hierarchical model to estimated BMI levels based on 1.25 million Chinese. We estimated dementia burden attributable to high BMI by age, sex, year, and socioeconomic development in terms of deaths and years of life lost (YLLs) and assessed the effect of population ageing. The average age-standardised BMI was 24.58kg/m2 and 24.15kg/m2 for men and women in 2018, respectively. 12,901 (95% UI, 10,617-15,420) dementia deaths were attributable to high BMI in China in 2018, with 5417 deaths from man and 7421 deaths from woman. The attributable age-standardised YLL rates for dementia increased 27% from 2005 to 2018. The attributable age-standardised mortality rates increased with human development index. People aged 80 years and older had the highest attributable mortality rate, and the rate decreased with decreasing age. Population ageing was an important component of the increase in dementia death. The rapid increase and large inequality highlighted the urgent need for evidence-based policies and interventions. We therefore call for establishing stronger anti-dementia strategies to promote the healthy ageing. China National Key Research and Development Program, China National Science & Technology Pillar Program, and National Health Commission of the People's Republic of China.

Rapid increasing burden of diabetes and cardiovascular disease caused by high body mass index in 1.25 million Chinese adults, 2005–2018

Temporal trends and geographical variations in disease burden for diabetes mellitus (DM) and cardiovascular disease (CVD) attributable to high body mass index (BMI) in China have not been fully elucidated. We estimated deaths and years of life lost (YLLs) for DM and CVD attributable to high BMI by age, sex, year, and region from 2005 to 2018 based on pooled data of 1.25 million adults. Approximately 497,430 (95% uncertainty interval [UI], 470,520-525,720) deaths for DM and CVD were attributable to high BMI in China in 2018, with 453,750 deaths from CVD and 43,700 deaths from DM. Between 2005 and 2018, there was a 17.35% increase in age-standardized mortality rate for DM and CVD attributable to high BMI. The high BMI-related DM and CVD YLL rates increased from 127.46 (95% UI 108.70-148.62) per 100,000 people aged 20-24 years to 5,735.54 (95% UI 4,844.16-6,713.53) per 100,000 people aged ≥80 years, respectively. The highest age-standardized mortality rate for high BMI-related DM and CVD in northeast, northwest, and circum-Bohai Sea regions of China. The disease burden for DM and CVD attributable to high BMI increased substantially between 2005 and 2018. Urgent measures are required at both national and regional levels for resource mobilization to slow the growing burden. The work was supported by the National Key Research and Development Program of China, China National Science& Technology Pillar Program, and National Health Commission of the People's Republic of China.

Trends of the burden of type 2 diabetes mellitus attributable to high body mass index from 1990 to 2019 in China.

Overweight and obesity are well-known risk factors for developing type 2 diabetes (T2DM). However, details on the evolution of the T2DM burden attributed to China's high body mass index (BMI) in China have not been thoroughly studied. This study aimed to investigate the temporal trends of the T2DM burden attributable to a high BMI in China from 1990 to 2019 and to evaluate the independent effects of age, period, and cohort on the burden of T2DM attributed to a high BMI. Data on T2DM burden attributable to a high BMI from 1990 to 2019 were obtained from the Global Burden of Disease Study 2019. Deaths, disability-adjusted life years (DALYs), age-standardized mortality rate (ASMR), and age-standardized DALY rate (ASDR) of T2DM attributable to a high BMI were estimated by age and sex. The joinpoint regression model was performed to calculate the annual percentage change (APC) and the average annual percentage change (AAPC) in the burden of T2DM attributed to a high BMI. The age-period-cohort analysis was applied to estimate the independent effects of age, period, and cohort on the temporal trends of mortality and the DALY rate. In 2019, deaths and DALYs from T2DM attributable to a high BMI in China were 47.53 thousand and 3.74 million, respectively, five times higher than in 1990. Among those under 60 years of age, men had higher deaths and DALYs than women, while the gender differences reversed in those over 60 years of age. Furthermore, the ASMR and ASDR in 2019 were 2.39 per 100,000 (95%UI 1.12-3.90) and 181.54 per 100,000 (95%UI 93.71-286.33), respectively, representing a 91% and 126% increase since 1990. In China, women previously had a higher ASMR and ASDR than men, while the differences in the ASMR and ASDR between the sexes were reversed in recent years. From 1990 to 2019, the ASMR in women increased before 2004 and then decreased from 2004 to 2015, and increased again after, with an overall AAPC value of 1.6%. In contrast, the ASMR in men continued to increase, with an overall AAPC value of 3.2%. The ASDR continued to increase in men and women, with AAPCs of 2.2% and 3.5%, respectively. The age effect showed that the relative risk of mortality increased with age in both men and women, except for the 75-84 age group. The impact of the age on the DALY rate revealed a trend of first rising and then decreasing, peaking at 65-69 years. The effect of the period on the burden of T2DM attributable to a high BMI increased from 1990 to 2019. The cohort effect generally showed a downward trend. The burden of T2DM attributed to a high BMI in China increased substantially from 1990 to 2019, particularly in men. Therefore, there is an urgent need for gender- and age-based public health guidelines on prevention strategies, early diagnosis, and effective management of T2DM, overweight, and obesity in China.

The impact of retirement on body mass index in China: An empirical study based on regression discontinuity design

An aging population is an important trend of social development, and it will be China's basic national condition for a long time. However, the pressure on domestic pension payments and economic operations will increase daily. The delayed retirement policy is gradually implemented as a critical initiative to improve capital and labor force allocation. The impact of retirement on residents' Body Mass Index (BMI) and weight has become a focus issue. This paper investigates the mechanism of the impact of retirement on residents' BMI using microdata from the China Family Panel Studies (CFPS) 2018, combined with a fuzzy regression discontinuity design to measure the potential health impact of China's current retirement policy on residents. The study finds that: (1) Retirement has a significant negative effect on BMI for women, with retirement leading to a significantly increased risk of deviation from normal BMI levels and significantly increasing the weight of retired women. However, retirement does not have a significant effect on men. (2) Retirement policies affect residents' BMI to different degrees depending on their family size, with the negative effect on women being more pronounced in smaller family sizes. (3) Female residents who retire to help their children with intergenerational care are more likely to maintain normal BMI levels, significantly positively affecting their potential health. (4) Retirement negatively affects BMI through channels such as significantly reducing exercise frequency among female residents. The study demonstrates that retirement policy impacts the BMI and weight of female residents, so the formulation and implementation of delayed retirement policy should be flexible, and family factors such as family sizes and intergenerational care should be considered appropriately.

Burden and Trend of Macrosomia and Large-for-Gestational-Age Neonates Attributable to High Pre-Pregnancy Body Mass Index in China, 2013-2017: A Population-Based Retrospective Cohort Study.

Background: The world is transitioning to an obese future, but few studies have measured the burden of increased maternal body mass index (BMI) on pathological fetal overgrowth, especially the trends in this burden and its heterogeneity in populations with different characteristics. Methods: A population-based retrospective cohort study was conducted with 7,998,620 Chinese females who had participated in the National Free Pre-Pregnancy Check-ups Project and became pregnant during 2013-2017. The proportions of macrosomic and LGA neonates attributable to high BMI (population attributable fraction, PAF) and annual percent change of yearly PAFs were estimated. Results: We found that the burden of macrosomic and LGA (large-for-gestational-age) neonates attributable to high pre-pregnancy BMI increased among Chinese females with planned pregnancies during 2013-2017. The PAF of macrosomia attributable to high BMI increased from 3.16% (95% confidence interval: 2.97-3.35%) to 7.11% (6.79-7.42%) by 23.60% (16.76-30.85%) annually, and the PAF of LGA increased from 2.35% (2.21-2.48%) to 5.00% (4.79-5.21%) by 21.98% (16.14-28.11%) annually. Our study identified that participants with disadvantaged socioeconomic status (including those without higher education, living in provinces with GDP per capita < 40,000 CNY, tier IV, and tier V cities) and residing in northern and southwestern China were at high risk of a rapidly expanding burden. Conclusions: Government authorities should control pre-pregnancy BMI through nationwide intervention programs and direct more resources to focus on the unfair burden on females with disadvantaged socioeconomic status.

Health Impacts of High BMI in China: Terrible Present and Future.

Temporal trends and future expectations of health effects due to high body mass index (BMI) remain uncertain in China. The trends of high-BMI-related death in China were evaluated and predicted until 2040 using data and methods from the Global Burden of Disease study. The absolute numbers and age-standardized rates of death and disability-adjusted life years (DALYs) were also calculated by age, gender, and cause. From 1990 to 2019, the high-BMI-related death percent, number and rate were all significantly increased in China, and death rate may exceed that globally in the next 10 years. High BMI caused more deaths and DALYs for men than for women, and the gap appeared to increase over time. In 2019, the burden of high BMI among ages 0−14 and 15−19 for children and adolescents were lower than that among adults (>20 years). The most common cause of death associated with high BMI was stroke, followed by ischemic heart disease and hypertensive heart disease. High BMI burden is a significant public health challenges in China. BMI surveillance and evaluation of evidence-based preventive strategies should be immediately initiated in Chinese residents due to the rapid increase in the burden of high BMI.

Diabetes remission after a lifestyle-medicine intervention on type 2 diabetes in lean and obese Chinese subjects: a prospective study.

Whether diabetes remission still happened among non-obese type 2 diabetes (T2DM) patients with a body mass index (BMI) <25 kg/m2 following lifestyle-medicine interventions was quite necessary to be reported because many diabetes happened with normal or low BMI in China. The criteria for subject inclusion: <20 years after T2DM diagnosis, ≥6 months treatment with oral anti-diabetic drugs, without serious complications, and no history of insulin use. They were divided into two groups: the obesity group (BMI ≥25 kg/m2) and the lean group (BMI <25 kg/m2). All subjects received the following lifestyle-medicine interventions: stopping oral anti-diabetic therapy, initiating a low-carbohydrate (contributing by 35-40% to calorie intake) diet for the first month (gradual transition to a normal diet for the next 5 months), participating in resistance and aerobic exercise, and receiving strengthen management. Diabetes remission was defined as glycosylated hemoglobin (A1C) level <6.5% (<48 mmol/mol) after 6 months of not taking any anti-diabetic medications during the lifestyle-medicine intervention. Finally, 125 individuals completed the lifestyle-medicine intervention in the prospective study. The efficacy and safety of lifestyle-medicine intervention were assessed and compared between lean and obese Chinese subjects with T2DM. We found that 64.52% of the T2DM subjects in the obese group and 60.64% of T2DM subjects in the lean group achieved diabetes remission [i.e., an A1C level <6.5% (48 mmol/mol)] without any anti-diabetic medications after the 6-month lifestyle-medicine intervention. Our multiple linear regression analysis showed that decreases in the fasting plasma glucose (FPG) level had the most powerful effect on decreases in the A1C level after the intervention (R2=0.3072). Lifestyle-medicine interventions may have increased effectiveness in controlling mild T2DM as compared with the oral antidiabetic-based treatment; unexpectedly, there seems no further improvement in lean relative to obese patients. Three in five subjects could achieve diabetes remission though the lifestyle-medicine intervention regardless of whether their BMI was below or above 25 kg/m2.

Are the Slimmer More Wasteful? The Correlation between Body Mass Index and Food Wastage among Chinese Youth

With the economic growth and living standard improvement, food waste has become increasingly common among Chinese youth. To test whether body size affects the food waste performance of youth, we examined university students as representative of the Chinese youth and conducted a large-sample survey in 29 universities across 29 provinces. Based on 9192 questionnaires collected from Chinese college canteens, we found that body size was correlated with food waste. The smaller the body mass index (BMI) value, the higher the likelihood of plate waste, the higher the amount of waste, and the higher the ratio of food waste. Heterogeneity analyses revealed that BMI exerted a more significant impact on males than females, as well as a more substantial impact on northerners than southerners. Robust tests using other proxies to measure body size, robust regressions based on the new adjusted samples, and robust tests with an instrumental variable to overcome the endogenous issue suggested that the slimmer participants tended to be more wasteful. Hence, this study confirms that the slimmer youth tend to leave plate waste and waste more food per capita per meal. This study is the first attempt to analyze food wastage from the perspective of BMI in China to our best knowledge, and it provides a unique viewpoint for understanding young people’s food wastage.

Disease burden of osteoarthritis of the knee and hip due to a high body mass index in China and the USA: 1990\u20132019 findings from the global burden of disease study 2019

BackgroundOsteoarthritis (OA) is a leading cause of disability and a source of societal costs among older adults, especially with an increasingly obese population. However, very few published studies have investigated the burden of knee and hip OA due to a high body mass index (BMI). Therefore, this study aimed to systematically summarize the trends of knee and hip OA due to a high BMI in China and the USA between 1990 and 2019.MethodsData from the Global Burden of Disease Study 2019 were used to estimate the age-standardized prevalence, disability-adjusted life years (DALYs) rates of knee and hip OA, and the burden of knee and hip OA due to a high BMI by sex. Joinpoint regression analysis was used to determine the temporal trend changes in the related DALYs rates of knee and hip OA.ResultsThe trends in the DALYs rates of knee OA due to a high BMI have shown a steady and large increase in China, while the trends first showed an increase followed by a large decrease near 2001-2005 and finally a steady increase in the USA. The trends in the DALYs rates of hip OA due to a high BMI have shown a steady and large increase in both men and women in China and the USA from 1990 to 2019. For the comparison by age categories from 30 to 34 years to 90–94 years in 2019, the age-standardized DALYs rates due to a high BMI first increased and then decreased after 60–64 years and 70-74 years in both men and women from China and the USA for knee OA, respectively. For hip OA, the age-standardized DALYs rates first increased and then decreased after 70–74 years in both men and women from China and the USA.ConclusionsThe burden of knee and hip OA due to a high BMI is substantially increasing in China and the USA in recent years. Researchers and health policy makers should assess the changing patterns of high BMI on the burden of OA and devise corresponding weight-control strategies.

Numbers and Mortality Risk of Hypertensive Patients with or without Elevated Body Mass Index in China.

Objective: Our study aimed to estimate the number of hypertension patients with or without elevated body mass index (BMI), and assess their mortality risk. Methods: We used data from the China Health and Retirement Longitudinal Study (CHARLS) to estimate the population of hypertensive patients with or without elevated BMI. The mortality risk of hypertension with elevated BMI was estimated by using the China Health and Nutrition Survey (CHNS) data. Cox proportional hazards models were used to estimate hazard ratios and 95% confidence intervals (CI). Results: In total, 23.02% of adults, representing 117.74 (95% CI: 108.79, 126.69) million, had both high BMI and hypertension. Among them, 38.53 (95% CI: 35.50, 41.56) million were recommended to initiate antihypertensive medication but did not take it. Moreover, there were 38.40 (95% CI: 35.50, 41.56) million hypertensive patients with elevated BMI who did not achieve the goal of blood pressure control. All-cause mortality and premature death mortality, especially for the elderly, were significantly and positively associated with the severity of the hypertensive condition (p for trend = 0.001). Conclusion: In China, there were a huge number of patients with hypertension and elevated BMI, and the treatment and control rates for them were low. The more severe the degree of hypertension, the higher risk of all-cause death and premature death in these patients.

Relationship Between National Economic Development and Body Mass Index in Chinese Children and Adolescents Aged 5-19 From 1986 to 2019.

Obesity represents a major risk factor for population health. No studies have evaluated how economic expansion impacts the prevalence of obesity. The purpose of this study was to assess the relationship between national economic development and body mass index (BMI) in Chinese children and adolescents. Data of mean BMI in children and adolescents aged 5–19 from 1986 to 2019 were extracted from an international database of cardiometabolic risk factors. Chinese economic development was quantified by the gross domestic product (GDP), which was extracted from the International Monetary Fund. The relationships between GDP and BMI were assessed in 1-year age groups for ages 5–19 years. In addition, the linear regression from the main data and estimated GDP growth allowed the projections of mean BMI for each age group between 2020 and 2025. The results suggest there was a linear increase in BMI over years, which means that there has been a steady increase in BMI over the economic expansion. Overall, 97% of the variance (Pearson correlation coefficient) of BMI in boys can be explained by the GDP expansion, and the same pattern (98% of the variance) occurred in girls. Projected mean BMI were provided for constructing future national strategies to prevent overweight and obesity in youth. In conclusion, BMI in children and adolescents aged 5–19 trended upwards between 1986 and 2019. Our analyses for the first time suggest that globalization has a major impact on BMI in China. Economic expansion was highly predictive of BMI increases.

Social determination, health selection or indirect selection? Examining the causal directions between socioeconomic status and obesity in the Chinese adult population.

Using nationally representative longitudinal data from 2010 to 2016 in China, this paper aims to systematically investigate the dynamic relationship between socioeconomic status (SES) and obesity in the Chinese adult population. We apply maximum likelihood estimations of dynamic panel models with fixed effects to evaluate the causal directions between SES and obesity, thus providing empirical evidence of the relative importance of the "social determination" hypothesis (SES determines obesity), the "health selection" hypothesis (obesity influences SES) and the "indirect selection" hypothesis (some third factors cause obesity and SES). All analyses were conducted for women and men separately. Our analyses mostly support the contention that after two years, there are no significant causal effects of either lagged SES on Body Mass Index (BMI) or BMI on SES, after controlling for time-invariant unobserved confounders. While there is weak evidence of social determination among men, non-manual workers tend to have a higher BMI than those who are unemployed. We conclude that the indirect selection hypothesis may be the most important explanation in understanding the relationship between SES and obesity in China.

Trajectories of Dietary Patterns, Sleep Duration, and Body Mass Index in China: A Population-Based Longitudinal Study from China Nutrition and Health Survey, 1991-2009.

No study has used trajectories of dietary patterns to examine their effects on sleep duration and body mass index over time in the Chinese population. We analyzed data from adults participating in the China Health and Nutrition Survey between 1991 and 2009. Dietary intake was measured by a 24-h recall method over three consecutive days. Height and body weight were measured, and sleep duration was self-reported. Multivariable mixed linear models were applied to examine the association between trajectories of dietary patterns (using a latent class model) and sleep duration as well as BMI. Four trajectories of a traditional pattern (characterized by rice, meat, and vegetables) and three trajectories of a modern pattern (characterized by fast food, milk, and deep-fried food) were identified. Participants with a high and rapid increase trajectory of the modern dietary pattern had the shortest sleep duration (β = −0.26; 95% CI: −0.40, −0.13). Participants with a high and stable intake of the traditional dietary pattern had the lowest BMI (β = −1.14; 95% CI: −1.41, −0.87), while the participants with a high and rapid increase trajectory of the modern dietary pattern had the highest BMI (β = 0.74; 95% CI: 0.34, 1,15). A rapid increase in the modern dietary pattern is associated with shorter sleep duration and higher BMI.

Age-period-cohort analysis of kidney cancer deaths attributable to high body-mass index in China and U.S. adults

BackgroundStatistical data on burden of kidney cancer and the relavant risk factors are valuable for policy-making. This study aims to estimate kidney cancer deaths and high body-mass index (BMI) attributable to the deaths by gender and age group in China adults, compared with U.S.MethodsWe extracted kidney cancer data (1990–2017) about the age-standardized rates using the comparative risk assessment framework of the 2017 Global Burden of Disease study. We performed an age-period-cohort (APC) analysis to estimate trends of kidney cancer mortality attributable to high BMI.ResultsDuring 1990–2017, age-standardized mortality rate of kidney cancer was increasing in China but decreasing in U.S. The mortality attributable to high BMI in China showed a general increasing trend, while that in U.S. men was increasing and tended to be stable in women since 1995. APC analysis showed a similar pattern of age effect between China and U.S. adults, which substantially increased from 20 to 24 to 90–94 age group. Differently, the period effect rapidly increased in China than U.S. adults during 1990–2017. The cohort effect peaked in the earlier cohort born in 1902–1906 in China, and it declined consistently in U.S. with exception of 1902–1906 and 1907–1911 birth cohort.ConclusionsThe kidney cancer deaths attributable to high BMI, and period effect have been generally increasing in China adults, compared with U.S. adults in which the trend tends to be stable in recent years. The rapid aging may also intensify the increasing trend of kidney cancer death in China. Effective measures should be conducted on body weight control and care for kidney cancer prevention.