scholarly journals Multi-Trajectories of Macronutrient Intake and Their Associations with Obesity among Chinese Adults from 1991 to 2018: A Prospective Study

Nutrients ◽  
2021 ◽  
Vol 14 (1) ◽  
pp. 13
Author(s):  
Xiaofan Zhang ◽  
Jiguo Zhang ◽  
Wenwen Du ◽  
Chang Su ◽  
Yifei Ouyang ◽  
...  
Keyword(s):  
Rural Areas ◽  
Cox Regression ◽  
Macronutrient Intake ◽  
High Fat ◽  
Chinese Adults ◽  
Nutrition Survey ◽  
Health And Nutrition ◽  
Hazard Ratios ◽  
Low Carbohydrate ◽  
A Prospective Study

Studies on macronutrient intake and obesity have been inconclusive. This study examined the associations between multi-trajectories of macronutrients and the risk of obesity in China. We used data from 7914 adults who participated in the China Health and Nutrition Survey at least three times from 1991 to 2018. We collected detailed dietary data by conducting three 24 h dietary recalls and weighing foods and condiments in household inventories. We identified multi-trajectories using group-based multi-trajectory models and examined their associations with the risk of obesity with multiple Cox regression models. We found four multi-trajectories in rural areas: balanced macronutrient intake (BM), moderate protein, increasing low fat, and decreasing high carbohydrate (MP&ILF&DHC); decreasing moderate protein, decreasing high fat, and increasing moderate carbohydrate (DMP&DHF&IMC); increasing moderate protein, increasing high fat, and decreasing low carbohydrate (IMP&IHF&DLC)—35.1%, 21.3%, 20.1%, and 23.5% of our rural participant population, respectively. Compared with the BM trajectory, the hazard ratios of obesity in the DMP&DHF&IMC and the IMP&IHF&DLC groups were 0.50 (95% confidence interval (CI): 0.27–0.95) and 0.48 (95% CI: 0.28–0.83), respectively, in rural participants. Relatively low carbohydrate and high fat intakes with complementary dynamic trends are associated with a lower risk of obesity in rural Chinese adults.

Modifiable factors of 20-year blood pressure trajectories among normotensives and their associations with hypertension : a prospective study

2021 ◽  
pp. 1-11
Author(s):  
Xiaofan Zhang ◽  
Yifei Ouyang ◽  
Feifei Huang ◽  
Jiguo Zhang ◽  
Chang Su ◽  
...  
Keyword(s):  
Blood Pressure ◽  
Influencing Factors ◽  
Regression Models ◽  
Cox Regression ◽  
Chinese Adults ◽  
Nutrition Survey ◽  
Health And Nutrition ◽  
Modifiable Factors ◽  
A Prospective Study ◽  
The Impact

Abstract Little is known about the impact of modifiable risk factors on blood pressure (BP) trajectories and their associations with hypertension (HTN). We aimed to identify BP trajectories in normotensive Chinese adults and explore their influencing factors and associations with HTN. We used data from 3436 adults with at least four BP measurements between 1989 and 2018 in the China Health and Nutrition Survey, an ongoing cohort study. We measured BP using mercury sphygmomanometers with appropriate cuff sizes in all surveys. We used group-based trajectory modelling to identify BP trajectories between 1989 and 2009 and multiple logistic and Cox regression models to analyse their influencing factors and associations with HTN in 2011–2018. We identified five systolic blood pressure (SBP) trajectories, ‘Low-increasing (LI)’, ‘Low–stable (LS)’, ‘Moderate-increasing (MI)’, ‘High-stable (HS)’ and ‘Moderate-decreasing (MD)’, and four diastolic blood pressure (DBP) trajectories classified as ‘Low-increasing (LI)’, ‘Moderate–stable (MS)’, ‘Low-stable (LS)’ and ‘High-increasing (HI)’. People with higher physical activity (PA) levels and lower waist circumferences (WC) were less likely to be in the SBP LI, MI, HS and MD groups (P < 0·05). People with higher fruit and vegetable intakes, lower WCs and salt intakes and higher PA levels were less likely to be in the DBP LI, MS and HI groups (P < 0·05). Participants in the SBP HS group (hazard ratio (HR) 2·01) or the DBP LI, MS and HI groups (HR 1·38, 1·40, 1·71, respectively) had higher risks of HTN (P < 0·05). This study suggests that BP monitoring is necessary to prevent HTN in the Chinese population.

scholarly journals Association between Milk Intake and All-Cause Mortality among Chinese Adults: A Prospective Study

Nutrients ◽  
2022 ◽  
Vol 14 (2) ◽  
pp. 292
Author(s):  
Xiaona Na ◽  
Hanglian Lan ◽  
Yu Wang ◽  
Yuefeng Tan ◽  
Jian Zhang ◽  
...  
Keyword(s):  
Energy Intake ◽  
Cox Regression ◽  
Dietary Diversity ◽  
Milk Intake ◽  
Chinese Adults ◽  
Nutrition Survey ◽  
Dietary Recall ◽  
Risk Of Death ◽  
All Cause Mortality ◽  
A Prospective Study

Background: Little is known about the effect of milk intake on all-cause mortality among Chinese adults. The present study aimed to explore the association between milk intake and all-cause mortality in the Chinese population. Methods: Data from 1997 to 2015 of the China Health and Nutrition Survey (CHNS) were used. A total of 14,738 participants enrolled in the study. Dietary data were obtained by three day 24-h dietary recall. All-cause mortality was assessed according to information reported. The association between milk intake and all-cause mortality were explored using Cox regression and further stratified with different levels of dietary diversity score (DDS) and energy intake. Results: 11,975 (81.25%) did not consume milk, 1341 (9.10%) and 1422 (9.65%) consumed 0.1–2 portions/week and >2 portions/week, respectively. Milk consumption of 0.1–2 portions/week was related to the decreased all-cause mortality (HR: 0.59, 95% CI: 0.41–0.85). In stratified analysis, consuming 0.1–2 portions/week was associated with decreased all-cause mortality among people with high DDS and energy intake. Conclusions: Milk intake is low among Chinese adults. Consuming 0.1–2 portions of milk/week might be associated with the reduced risk of death among Chinese adults by advocating health education. Further research is required to investigate the relationships between specific dairy products and cause-specific mortality.

scholarly journals The Association Between Dietary Purine Intake and Mortality: Evidence From the CHNS Cohort Study

2021 ◽  
Vol 5 (Supplement_2) ◽  
pp. 1105-1105
Author(s):  
Miaojia Yan ◽  
Lichen Wu ◽  
Yutong Wang ◽  
Huimeng Liu ◽  
Shaonong Dang ◽  
...  
Keyword(s):  
Proportional Hazards ◽  
Food Composition ◽  
Cox Proportional Hazards ◽  
Chinese Adults ◽  
Nutrition Survey ◽  
Funding Sources ◽  
Health And Nutrition ◽  
Hazard Ratios ◽  
Restricted Cubic Splines ◽  
Outcome Event

Abstract Objectives To investigate the association between dietary purine intake and mortality among Chinese adults. Methods Based on data from the 2004–2015 China Health and Nutrition Survey (CHNS) and the corresponding edition of China Food Composition, the average purine intake per day from 2004 to 2011 was calculated and divided into five groups by quintiles. The outcome event and time we concerned were defined as self-reported death and time in 2015 survey. Cox proportional hazards regression was used to estimate hazard ratios (HR) with 95% confidence intervals (CIs) for death. The possibly non-linear relation between purine intake and mortality was examined with restricted cubic splines. Results We included 17,751 subjects and the average purine intake among them was 329.14 ± 142.74 mg/day. Purine intake was inversely associated with mortality (P = 0.002). Compared with the lowest quintiles, the HRs (95% CI) of the highest quintiles were 0.60 (0.46, 0.77) for purine (P &lt; 0.001). Besides, a U-shaped relationship between purine intake and mortality was observed in males; however, there is no dose-response relationship in females. Conclusions Under the low purine intake levels of the Chinese population, purine intake showed a protective effect. We observed a U-shaped relationship between purine intake and mortality in men but not found in women. Funding Sources National Key R&D Program of China (2017YFC0907200,2017YFC0907201).

scholarly journals Higher Dietary Se Intake Is Associated With the Risk of New-Onset Fracture: A National Longitudinal Study for 20 Years

2021 ◽  
Vol 8 ◽  
Author(s):  
Yangchang Zhang ◽  
Mengliang Ye ◽  
Yong Zhao ◽  
Yang Xiong ◽  
Shisi Shen ◽  
...  
Keyword(s):  
Cox Regression ◽  
Cox Model ◽  
Self Report ◽  
Nutrition Survey ◽  
Health And Nutrition ◽  
Linear Association ◽  
Hazard Ratios ◽  
Increased Risk ◽  
Non Linear ◽  
Restricted Cubic Splines

Background: The association between dietary selenium (Se) intake and osteoporosis-related fractures remains inconsistent. We aimed to examine the dose relationship between Se intake and incident fracture among Chinese adults.Methods: The dietary data were retrieved from the China Health and Nutrition Survey conducted between 1991 and 2011, and 17,150 participants aged above 20 were included. A 3-day, 24-h recall of food intake was performed to assess cumulative average dietary Se intake. The fracture was based on self-report in each survey between 1997 and 2011. The association between Se intake and fracture was tested by Cox regression, and the non-linear association was examined by restricted cubic splines (RCS).Results: There were 976 fracture cases during a mean of 10.2 years follow-up. In a fully adjusted Cox model, across the quartiles of Se intake, the hazard ratios (HRs) for fracture were 1.07 (95% CI .86–1.33), 1 (reference), 1.25 (95% CI 1.02–1.53), and 1.33 (95% CI 1.07–1.65). RCS showed a parabolic association (P non-linear = 0.037) between Se and fracture for men as well as a U-shape dose-response (P non-linear = 0.04) between Se and fracture for subjects living in highly urbanized areas.Conclusion: In conclusion, there is a non-linear association between selenium intake and fracture, with higher intake associated with increased risk. The shape of the association varies by gender and urbanization level.

scholarly journals Associations between Dietary Glycemic Index and Glycemic Load Values and Cardiometabolic Risk Factors in Adults: Findings from the China Health and Nutrition Survey

Nutrients ◽  
2020 ◽  
Vol 13 (1) ◽  
pp. 116
Author(s):  
Minjuan Li ◽  
Zhixin Cui ◽  
Shuangli Meng ◽  
Ting Li ◽  
Tong Kang ◽  
...  
Keyword(s):  
Risk Factors ◽  
Glycemic Index ◽  
Cardiometabolic Risk ◽  
Glycemic Load ◽  
Cardiometabolic Risk Factors ◽  
Chinese Adults ◽  
Nutrition Survey ◽  
Health And Nutrition ◽  
Dietary Glycemic Index ◽  
Apparently Healthy

Studies investigating the associations between dietary glycemic index (GI) and glycemic load (GL) values and cardiometabolic risk factors (CMRF) among Chinese populations are strikingly limited. To assess the associations between dietary GI and GL values and CMRF, including dyslipidemia, hyperglycemia, and hyperuricemia in Chinese adults, we extracted data of 7886 apparently healthy adults from the 2009 wave of the China Health and Nutrition Survey. Dietary GI and GL values were calculated using data collected from three consecutive 24 h dietary recalls. Fasting lipid, glucose, and uric acid concentrations were measured and CMRF were defined on the basis of established criteria. There were no significant associations between dietary GI values and CMRF, and analyzing the data by age, sex, body mass index (BMI), and region did not alter these results. Dietary GL values were positively associated with prevalence of hyperuricemia in all participants (Q4 compared with Q1: odds ratio (OR) = 1.46; 95% CI: 1.14, 1.87; p-trend = 0.0030) and prevalence of hypercholesterolemia in participants ≥ 60 years old (Q5 compared with Q1: OR = 1.72; 95% CI: 1.11, 2.68; p-trend < 0.0010). Higher dietary GL but not GI values were associated with increased prevalence of hyperuricemia in apparently healthy Chinese adults and hypercholesterolemia in older Chinese adults. Further studies are required to confirm the public health implication of these findings.

Association between selenium intake, diabetes, and mortality in adults: findings from National Health and Nutrition Examination Survey (NHANES) 2003-2014

2021 ◽  
pp. 1-24
Author(s):  
Bushra Hoque ◽  
Zumin Shi
Keyword(s):  
National Health ◽  
Cox Regression ◽  
Inverse Association ◽  
Nutrition Examination Survey ◽  
Health And Nutrition ◽  
Hazard Ratios ◽  
The Us ◽  
All Cause Mortality ◽  
Cvd Mortality

Abstract Selenium (Se) is a trace mineral that has antioxidant and anti-inflammatory properties. This study aimed to investigate the association between Se intake, diabetes, all-cause and cause-specific mortality in a representative sample of US adults. Data from 18,932 adults who attended the 2003-2014 National Health and Nutrition Examination Survey (NHANES) were analysed. Information on mortality was obtained from the US mortality registry updated to 2015. Multivariable logistic regression and Cox regression were used. Cross-sectionally, Se intake was positively associated with diabetes. Comparing extreme quartiles of Se intake, the odds ratio (OR) for diabetes was 1.44 (95% CI: 1.09–1.89). During a mean of 6.6 years follow-up, there were 1627 death (312 CVD, 386 cancer). High intake of Se was associated with a lower risk of all-cause mortality. When comparing the highest with the lowest quartiles of Se intake, the hazard ratios (HRs) for all-cause, CVD mortality, cancer mortality and other mortality were: 0.77 (95% CI 0.59-1.01), 0.62 (95% CI, 0.35-1.13), 1.42 (95% CI, 0.78-2.58) and 0.60 (95% CI,0.40-0.80), respectively. The inverse association between Se intake and all-cause mortality was only found among white participants. In conclusion, Se intake was positively associated with diabetes but inversely associated with all-cause mortality. There was no interaction between Se intake and diabetes in relation to all-cause mortality.

U-shaped Association Between Dietary Zinc Intake and New-onset Diabetes: A Nationwide Cohort Study in China

2021 ◽  
Author(s):  
Panpan He ◽  
Huan Li ◽  
Mengyi Liu ◽  
Zhuxian Zhang ◽  
Yuanyuan Zhang ◽  
...  
Keyword(s):  
Chinese Adults ◽  
Dietary Zinc ◽  
Nutrition Survey ◽  
Zinc Intake ◽  
Health And Nutrition ◽  
Onset Diabetes ◽  
Household Food Inventory ◽  
Diagnosed Diabetes ◽  
New Onset

Abstract Aims We aimed to investigate the relationship of dietary zinc intake with new-onset diabetes among Chinese adults. Materials and Methods A total of 16 257 participants who were free of diabetes at baseline from the China Health and Nutrition Survey were included. Dietary intake was measured by 3 consecutive 24-hour dietary recalls combined with a household food inventory. Participants with self-reported physician-diagnosed diabetes, or fasting glucose ≥ 7.0 mmol/L, or glycated hemoglobin ≥ 6.5% during the follow-up were defined as having new-onset diabetes. Results A total of 1097 participants developed new-onset diabetes during a median follow-up duration of 9.0 years. Overall, the association between dietary zinc intake and new-onset diabetes followed a U-shape (P for nonlinearity &lt; 0.001). The risk of new-onset diabetes was significantly lower in participants with zinc intake &lt; 9.1 mg/day (per mg/day: hazard ratio [HR], 0.73; 95% CI, 0.60-0.88), and higher in those with zinc intake ≥ 9.1 mg/day (per mg/day: HR, 1.10; 95% CI, 1.07-1.13). Consistently, when dietary zinc intake was assessed as deciles, compared with those in deciles 2-8 (8.9 -&lt;12.2 mg/day), the risk of new-onset diabetes was higher for decile 1 (&lt;8.9 mg/day: HR, 1.29; 95% CI, 1.04-1.62), and deciles 9 to 10 (≥12.2 mg/day: HR, 1.62; 95% CI, 1.38-1.90). Similar U-shaped relations were found for plant-derived or animal-derived zinc intake with new-onset diabetes (all P for nonlinearity &lt; 0.001). Conclusions There was a U-shaped association between dietary zinc intake and new-onset diabetes in general Chinese adults, with an inflection point at about 9.1 mg/day.

scholarly journals Poverty Measure Based on Hesitant Fuzzy Decision Algorithm under Social Network Media

Symmetry ◽  
2020 ◽  
Vol 12 (3) ◽  
pp. 384 ◽  
Author(s):  
Suwei Gao ◽  
Kaiyang Sun
Keyword(s):  
Fuzzy Set ◽  
Rural Areas ◽  
Poverty Line ◽  
Poverty Level ◽  
Nutrition Survey ◽  
Decision Algorithm ◽  
Poverty Measure ◽  
Line Method ◽  
Health And Nutrition ◽  
Fuzzy Function

This study aims to solve the problem that the traditional method of measuring the poverty level in rural and urban areas of China from a purely monetary perspective can’t comprehensively analyze and reflect the poverty. In this study, a multidimensional poverty measurement model with non-monetary indicators is proposed, the data of families and their members provided by the China Health and Nutrition Survey (CHNS) of a certain year’s health and nutrition survey in China are used for analysis, and a fuzzy set method is adopted to analyze the poverty situation in various regions of China. First, the fuzzy function set method is used to calculate the one-dimensional poverty index. On the basis of income, the multi-dimensional poverty fuzzy index is calculated from five dimensions, including education, health, assets, and living standard. The calculation results of the single-dimensional poverty and the multi-dimensional poverty are compared to further analyze the reasons of the family poverty of rural residents. Second, the poverty rate of each dimension in each region is calculated by referring to the appropriate measurement indexes of each dimension of the message passing interface (MPI) team. The results show that the concept of measuring poverty by the fuzzy set method is more sensitive to the overall distribution of population in the poverty dimension than the poverty line method. Compared with the poverty line method, the fuzzy set method can better consider the overall distribution of population in poverty dimension. Accordingly, China should strengthen the infrastructure construction in rural areas, increase the investment in education in rural areas, and improve the overall quality of the poor population.

scholarly journals Long-term BMI change trajectories in Chinese adults and its association with the hazard of type 2 diabetes: evidence from a 20-year China Health and Nutrition Survey

2020 ◽  
Vol 8 (1) ◽  
pp. e000879
Author(s):  
Baibing Mi ◽  
Chenlu Wu ◽  
Xiangyu Gao ◽  
Wentao Wu ◽  
Jiaoyang Du ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Latent Class ◽  
Chinese Adults ◽  
Change Trajectories ◽  
Nutrition Survey ◽  
Health And Nutrition ◽  
Increased Risk

IntroductionTo investigate the relationship between long-term change trajectory in body mass index (BMI) and the hazard of type 2 diabetes among Chinese adults.Research design and methodsData were obtained from the China Health and Nutrition Survey (CHNS). Type 2 diabetes was reported by participants themselves in each survey wave. The duration of follow-up was defined as the period from the first visit to the first time self-reported type 2 diabetes, death, or other loss to follow-up from CHNS. The patterns of change trajectories in BMI were derived by latent class trajectory analysis method. The Fine and Gray regression model was used to estimate HRs with corresponding 95% CIs for type 2 diabetes.ResultsFour patterns of the trajectories of change in BMI were identified among Chinese adults, 42.7% of participants had stable BMI change, 40.8% for moderate BMI gain, 8.9% for substantial BMI gain and 7.7% for weight loss. During the follow-up with mean 11.2 years (158 637 person-years contributed by 14 185 participants), 498 people with type 2 diabetes (3.7%) occurred. Risk of type 2 diabetes was increased by 47% among people who gained BMI more substantially and rapidly (HR: 1.47, 95% CI 1.08 to 2.02, p=0.016) and increased by 20% among those in people with the moderate BMI gain (HR: 1.20, 95% CI 0.98 to 1.48, p=0.078), compared with those with stable BMI change.ConclusionsLong-term substantial gain of BMI was significantly associated with an increased risk of type 2 diabetes in the Chinese adults.

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