Trends in Dietary Patterns and Diet-related Behaviors in China

Bu, Tao; Tang, Daisheng; Liu, Yahong; Chen, Dangui

doi:10.5993/ajhb.45.2.15

Cited by 46 publications

(34 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In our study, the fruit-dairy pattern was a new pattern compared with a previous study conducted in Eastern China in 2016 (15), which implies that the eating habits have been in transition in this area (44). Meanwhile, the fruit-dairy pattern was inversely associated with hypertension, which provides a new direction to prevent and control hypertension among community residents in Eastern China.…”

Section: The Four Dietary Patterns and Hypertensionsupporting

confidence: 47%

Dietary Patterns in Association With Hypertension: A Community-Based Study in Eastern China

Wang

Zheng²,

Zhang

et al. 2022

Front. Nutr.

View full text Add to dashboard Cite

ObjectiveThis study aimed to explore the association between dietary patterns and hypertension based on a community–based survey in Suzhou, Eastern China.MethodsThis cross–sectional analysis was undertaken from the subset of the Suzhou Food Consumption and Health State Survey in 2018–2019. Adults aged ≥ 18 years were invited to participate in this survey. Dietary intake was collected by a 24–h dietary recall and a weighing method over three consecutive days (including two weekdays and one weekend day). Dietary patterns were defined using factor analysis. Association between the dietary patterns and hypertension was examined by multivariable logistic regression models with adjustment for covariates. Moreover, sensitivity analysis was used to reinforce our findings.ResultsA total of 2,718 participants were included in the final analysis. Rice-vegetable pattern, fast food pattern, fruit-dairy pattern, and wheat-meat pattern were identified. We observed that the fruit-dairy pattern was inversely associated with hypertension after adjustment for all the covariates (OR = 0.55; 95% CI: 0.40, 0.75; P = 0.002). The association between the wheat-meat pattern and hypertension was attenuated and became statistically nonsignificant in sensitivity analyses. The other two patterns were not significantly associated with hypertension (P > 0.05).ConclusionThe fruit-dairy pattern was inversely associated with the risk of hypertension among Chinese adults. Our findings further emphasize the important role of optimal diet combination in the prevention of hypertension.

show abstract

Section: The Four Dietary Patterns and Hypertensionsupporting

confidence: 47%

Dietary Patterns in Association With Hypertension: A Community-Based Study in Eastern China

Wang

Zheng²,

Zhang

et al. 2022

Front. Nutr.

View full text Add to dashboard Cite

show abstract

“…In addition, the period effect on gout prevalence remarkably increased in China, which may be explained by the changes in dietary patterns and the increasing obese population. Over the past decades, consumption of energy/fat–dense foods like meat, seafood, alcohol and sugar beverages has increased significantly, with dietary patterns switching from a predominantly plant–based diet to a Western–style diet high in fat and animal–based foods ( 46 ). These dietary factors can increase urate concentrations, hence the risk of gout occurrence and progression ( 47 ).…”

Section: Discussionmentioning

confidence: 99%

Trend dynamics of gout prevalence among the Chinese population, 1990-2019: A joinpoint and age-period-cohort analysis

Zhu

Wang

Zhou

et al. 2022

Front. Public Health

View full text Add to dashboard Cite

BackgroundThe burden of gout is increasing worldwide, which places a heavy burden on society and healthcare systems. This study investigates the independent effects of age, period, and cohort on the gout prevalence from 1990 to 2019 in China, compares these effects by gender and then predicts the future burden of gout over the next decade.MethodsThe data were obtained from the Global Burden of Disease (GBD) study in 2019. Joinpoint regression model was employed to calculate the annual percentage change (APC) in gout prevalence, and the age-period-cohort analysis was utilized to estimate the independent effects of age, period, and cohort. ARIMA model was extended to predict the gout epidemic in 2020–2029.ResultsIn 2019, there were 16.2 million cases of gout in China, with an age-standardized prevalence rate (ASPR) of 12.3‰ and 3.9‰ in men and women, respectively. During 1990–2019, the ASPR of gout was increasing significantly, with an average APC of 0.9%. The periods of 2014–2017 and 2001–2005 were “joinpoint” for men and women (APC: 6.3 and 5.6%). The age-period-cohort analyses revealed that the relative risk (RR) of developing gout increased with age, peaking at 70–74 years in men (RRage(70−74) = 162.9) and 75–79 years in women (RRage(75−79)=142.3). The period effect trended upward, with a more rapid increase in women (RRperiod(2019) = 2.31) than men (RRperiod(2019) = 2.23). The cohort effect generally peaked in the earlier cohort born in 1905–1909 for both sexes. Gout prevalence showed a strong positive correlation with the consumption of meat and aquatic products (rmeat = 0.966, raquaticproducts = 0.953). Within 2029, the ASPR of gout was projected to be 11.7‰ and 4.0‰ in men and women, respectively.ConclusionThe prevalence of gout is increasing at an alarming rate in China; thus, it is necessary to provide targeted health education, regular screening, and accessible urate-lowering therapy healthcare to prevent and protect against gout in China, particularly in older women.

show abstract

“…Engel’s and Bennett’s laws demonstrate the impact of income changes on food consumption [ 4 , 24 ]. There is evidence that the dietary structure of Chinese citizens will continue to change with the growth of income in the future, but the exact routes of these changes are still unclear [ 25 , 26 ]. There is heterogeneity in the preferences and consumer behavior of different income groups.…”

Section: Introductionmentioning

confidence: 99%

How Does Income Heterogeneity Affect Future Perspectives on Food Consumption? Empirical Evidence from Urban China

Zhu

Chen

Han

et al. 2022

Foods

View full text Add to dashboard Cite

China is undergoing a rapid dietary transition as well as a changing income distribution. In this paper, we examine the impacts of income heterogeneity on the prediction of food consumption using a dataset that covered 22,210 urban households in China’s 6 provinces. The two-stage Exact Affine Stone Index Implicit Marshallian Demand System (EASI demand system) model, which deals with the problem of censoring and endogeneity, is applied to estimate demand elasticity across income strata. Additionally, a dynamic simulation method considering income heterogeneity is conducted to predict future food consumption trends. The results reveal that income elasticity follows a decreasing trend with income growth. Furthermore, the results show that the consumption of major food items in the 15th period will increase by 7.9% to 42.0% over the base period. The growth potential of low-income groups is significantly higher than that of middle- and high-income groups. However, the prediction results may be overestimated if the differences in consumer behavior across income groups and the dynamic simulation procedure are not taken into account. Our study indicates that the consumption features of different income groups need to be included in food consumption forecasts. Moreover, the government should formulate food policies for different income groups to promote a sustainable food system transformation.

show abstract

Trends in Dietary Patterns and Diet-related Behaviors in China

Cited by 46 publications

References 0 publications

Dietary Patterns in Association With Hypertension: A Community-Based Study in Eastern China

Dietary Patterns in Association With Hypertension: A Community-Based Study in Eastern China

Trend dynamics of gout prevalence among the Chinese population, 1990-2019: A joinpoint and age-period-cohort analysis

How Does Income Heterogeneity Affect Future Perspectives on Food Consumption? Empirical Evidence from Urban China

Contact Info

Product

Resources

About