scholarly journals Modern dietary pattern is prospectively associated with earlier age at menarche: data from the CHNS 1997–2015

2020 ◽  
Vol 19 (1) ◽  
Author(s):  
Ruonan Duan ◽  
Yue Chen ◽  
Tian Qiao ◽  
Ruotong Duan ◽  
Mengxue Chen ◽  
...  
Keyword(s):  
Dietary Patterns ◽  
Dietary Pattern ◽  
Maternal Education ◽  
Age At Menarche ◽  
Snack Food ◽  
Level Energy ◽  
Nutrition Survey ◽  
Animal Food ◽  
Food Pattern ◽  
Menarcheal Age

Abstract Background Early age at menarche is associated with risk of several chronic diseases. Prospective study on the association between dietary pattern and timing of menarche is sparse. We examined whether dietary patterns prior to the menarche onset were prospectively associated with menarcheal age in Chinese girls. Methods One thousand one hundred eighteen girls aged 6–13 y in the China Health and Nutrition Survey (CHNS) with three-day 24-h recalls and information on potential confounders at baseline were included in the study. Dietary patterns were identified using principal component analysis. Age at menarche was self-reported at each survey. Cox proportional hazard regression models were performed to examine the associations of premenarcheal dietary patterns and menarcheal timing. Hazard ratios (HRs) and 95% confidence intervals (CIs) were calculated. Results Three major dietary patterns were identified: modern dietary pattern, animal food pattern, and snack food pattern. After adjustment for age at baseline, region, ethnicity, maternal education level, energy intake at baseline, and body mass index Z-score at baseline, girls in the highest quartile of modern dietary pattern score had a 33% higher probability of experiencing menarche at an earlier age than those in the lowest quartile (HR: 1.33, 95% CI: 1.002–1.77, p for trend = 0.03). No significant association was found for the animal food pattern or snack food pattern. Conclusions Higher adherence to modern dietary pattern during childhood is associated with an earlier menarcheal age. This association was independent of premenarcheal body size.

scholarly journals A dairy and fruit dietary pattern is associated with a reduced likelihood of osteoporosis in Korean postmenopausal women

2013 ◽  
Vol 110 (10) ◽  
pp. 1926-1933 ◽  
Author(s):  
Sangah Shin ◽  
Hyojee Joung
Keyword(s):  
Lumbar Spine ◽  
Postmenopausal Women ◽  
Dietary Patterns ◽  
Dietary Pattern ◽  
Health Examination ◽  
Dietary Intakes ◽  
Mineral Density ◽  
Nutrition Survey ◽  
Cross Sectional ◽  
White Rice

The aim of the present study was to identify the association of dietary patterns with osteoporosis in Korean postmenopausal women from the Korean Health and Nutrition Examination Survey 2008–10. The present cross-sectional analysis included 3735 postmenopausal women who completed a health interview, nutrition survey and a health examination including bone mineral density (BMD) measurements. The general characteristics and dietary intakes of the participants were obtained using a standardised questionnaire and a 24 h recall method, respectively. The BMD of the femoral neck and lumbar spine was measured using dual-energy X-ray absorptiometry; osteoporosis was defined based on the WHO T-score criteria. Overall, we identified four dietary patterns using factor analysis as follows: ‘meat, alcohol and sugar’, ‘vegetables and soya sauce’, ‘white rice, kimchi and seaweed’ and ‘dairy and fruit’, which accounted for 30·9 % of the total variance in food intake (11·3, 7·7, 6·0 and 5·9 %, respectively). The subjects in the highest quintile of the ‘dairy and fruit’ pattern showed a decreased risk of osteoporosis of the lumbar spine (53 %) compared with those in the lowest quintile, after adjusting for covariates (OR 0·47, 95 % CI 0·35, 0·65, P for trend < 0·0001). In contrast, the ‘white rice, kimchi and seaweed’ dietary pattern was negatively associated with bone health (OR 1·40, 95 % CI 1·03, 1·90, P for trend = 0·0479). The present results suggest that an increased intake of dairy foods and fruits in the traditional Korean diet, based on white rice and vegetables, may decrease the risk of osteoporosis in Korean postmenopausal women.

scholarly journals Dietary patterns in India and their association with obesity and central obesity

2015 ◽  
Vol 18 (16) ◽  
pp. 3031-3041 ◽  
Author(s):  
Ambika Satija ◽  
Frank B Hu ◽  
Liza Bowen ◽  
Ankalmadugu V Bharathi ◽  
Mario Vaz ◽  
...  
Keyword(s):  
Risk Factors ◽  
Dietary Patterns ◽  
Central Obesity ◽  
Principal Component ◽  
Cross Sectional ◽  
Animal Food ◽  
Food Pattern ◽  
Rural And Urban ◽  
Migration Study ◽  
Urban Migrant

AbstractObjectiveObesity is a growing problem in India, the dietary determinants of which have been studied using an ‘individual food/nutrient’ approach. Examining dietary patterns may provide more coherent findings, but few studies in developing countries have adopted this approach. The present study aimed to identify dietary patterns in an Indian population and assess their relationship with anthropometric risk factors.DesignFFQ data from the cross-sectional sib-pair Indian Migration Study (IMS; n 7067) were used to identify dietary patterns using principal component analysis. Mixed-effects logistic regression was used to examine associations with obesity and central obesity.SettingThe IMS was conducted at four factory locations across India: Lucknow, Nagpur, Hyderabad and Bangalore.SubjectsThe participants were rural-to-urban migrant and urban non-migrant factory workers, their rural and urban resident siblings, and their co-resident spouses.ResultsThree dietary patterns were identified: ‘cereals–savoury foods’ (cooked grains, rice/rice-based dishes, snacks, condiments, soups, nuts), ‘fruit–veg–sweets–snacks’ (Western cereals, vegetables, fruit, fruit juices, cooked milk products, snacks, sugars, sweets) and ‘animal-food’ (red meat, poultry, fish/seafood, eggs). In adjusted analysis, positive graded associations were found between the ‘animal-food’ pattern and both anthropometric risk factors. Moderate intake of the ‘cereals–savoury foods’ pattern was associated with reduced odds of obesity and central obesity.ConclusionsDistinct dietary patterns were identified in a large Indian sample, which were different from those identified in previous literature. A clear ‘plant food-based/animal food-based pattern’ dichotomy emerged, with the latter being associated with higher odds of anthropometric risk factors. Longitudinal studies are needed to further clarify this relationship in India.

Dietary patterns and sarcopenia in elderly adults: the TCLSIH study

2021 ◽  
pp. 1-26
Author(s):  
Xuena Wang ◽  
Mingxu Ye ◽  
Yeqing Gu ◽  
Xiaohui Wu ◽  
Ge Meng ◽  
...  
Keyword(s):  
Dietary Patterns ◽  
Cross Sectional Study ◽  
Lower Prevalence ◽  
Cross Sectional ◽  
Chinese Older Adults ◽  
Animal Food ◽  
Food Pattern ◽  
Physical Limitations ◽  
Dietary Pattern Analysis ◽  
Serving Sizes

Abstract Sarcopenia is a core contributor to several health consequences, including falls, fractures, physical limitations, and disability. The pathophysiological processes of sarcopenia may be counteracted with the proper diet, delaying sarcopenia onset. Dietary pattern analysis is a whole diet approach used to investigate the relationship between diet and sarcopenia. Here we aimed to investigate this relationship in an elderly Chinese population. A cross-sectional study with 2,423 participants aged more than 60 years was performed. Sarcopenia was defined based on the guidelines of the Asian Working Group for Sarcopenia, composed of low muscle mass plus low grip strength and/or low gait speed. Dietary data were collected using a food-frequency questionnaire that included questions on 100 food items along with their specified serving sizes. Three dietary patterns were derived by factor analysis: sweet pattern; vegetable pattern; animal food pattern. The prevalence of sarcopenia was 16.1%. The higher vegetable pattern score and animal food pattern score were related to lower prevalence of sarcopenia (Ptrend =0.006 and Ptrend <0.001, respectively); the multivariate-adjusted odds ratio (95% confidence interval) of the prevalence of sarcopenia in the highest versus lowest quartiles were 0.54 (0.34, 0.86) and 0.50 (0.33, 0.74), separately. The sweet pattern score was not significantly related to the prevalence of sarcopenia. The present study showed that vegetable pattern and animal food pattern were related to a lower prevalence of sarcopenia in Chinese older adults. Further studies are required to clarify these findings.

Associations of Dietary Pattern and Sleep Duration with Cognitive Decline in Community-Dwelling Older Adults: A Seven-Year Follow-Up Cohort Study

2021 ◽  
pp. 1-13
Author(s):  
Xianwen Shang ◽  
Allison M. Hodge ◽  
Edward Hill ◽  
Zhuoting Zhu ◽  
Mingguang He
Keyword(s):  
Cognitive Decline ◽  
Sleep Duration ◽  
Dietary Patterns ◽  
Dietary Pattern ◽  
Positive Association ◽  
Relative Increase ◽  
Community Dwelling ◽  
Dietary Factors ◽  
Z Score ◽  
Nutrition Survey

Background: A few studies have linked dietary patterns and sleep to cognitive decline. Objective: To examine the independent and joint associations of dietary patterns and sleep with cognitive decline. Methods: Our analysis included 2,307 participants aged 55– 89 years at baseline from the China Health and Nutrition Survey. Dietary intake was assessed using weighing methods in combination with 24 h dietary recalls for three consecutive days. Exploratory factor analysis was applied to identify major dietary factors. Cognition was assessed in 1997, 2000, 2004, 2006, and 2015. Results: Five dietary patterns were identified: dairy-fruits-fast foods, grains-vegetables-pork, plant-based food, beans-mushroom, and beverages-nuts patterns. Beans-mushroom pattern and sleep duration of 8 h/day were defined as healthy habits. There was a positive association between the beans-mushroom pattern and change in the global cognitive Z-score over seven years (β (95% CI) for quintile 5 versus quintile 1:0.17 (0.05, 0.30)). Compared to individuals with sleep duration of 8 h/day, those with sleep duration of≤5 h/day (β (95% CI): – 0.23 (– 0.45, – 0.00)) or >  10 h/day (– 0.52 (– 0.73, – 0.32)) had a greater decrease in global cognitive Z-score. Compared to individuals with no healthy patterns, those with a healthy dietary pattern only (β (95% CI): 0.18 (0.08, 0.28)), healthy sleep pattern only (0.13 (0.04, 0.23), and both healthy dietary and sleep patterns (0.19 (0.08, 0.31)) had a relative increase in global cognitive Z-score. Conclusion: Our findings highlight the importance of involving both diet and sleep as intervention priorities for the potential prevention of cognitive decline.

scholarly journals 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

Nutrients ◽  
2020 ◽  
Vol 12 (8) ◽  
pp. 2245
Author(s):  
Yingting Cao ◽  
Xiaoyue Xu ◽  
Zumin Shi
Keyword(s):  
Body Mass Index ◽  
Sleep Duration ◽  
Body Mass ◽  
Dietary Patterns ◽  
Dietary Pattern ◽  
Fast Food ◽  
Latent Class ◽  
Linear Models ◽  
Latent Class Model ◽  
Nutrition Survey

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.

scholarly journals Dietary patterns in Mexican preschool children are associated with stunting and overweight

2021 ◽  
Vol 55 ◽  
pp. 53
Author(s):  
Mario E. Flores ◽  
Marta Rivera-Pasquel ◽  
Nayeli Macías ◽  
Luisa María Sánchez-Zamorano ◽  
Sonia Rodríguez-Ramírez ◽  
...  
Keyword(s):  
Dietary Patterns ◽  
Dietary Pattern ◽  
Fruits And Vegetables ◽  
Household Head ◽  
Social Programs ◽  
Nutrition Survey ◽  
Health And Nutrition ◽  
Gender Education ◽  
Components Analysis ◽  
Prevalence Ratios

OBJECTIVE To evaluate the association between dietary patterns, stunting, and overweight among Mexican preschoolers. METHODS This study was conducted with anthropometric (weight, height/length), sociodemographic (age, gender, education level of household head, socioeconomic status, country region and area, ethnicity, and beneficiary of social programs), and dietary data (Semiquantitative-food frequency questionnaire) on children aged from 1 to 4 years collected from the Mexican National Health and Nutrition Survey-2012. Dietary patterns were derived by principal components analysis. The association between dietary patterns, stunting, and overweight was assessed by prevalence ratios (PR), estimated by Poisson regression. RESULTS In total, 1,112 preschoolers (mean age 3.06 years, SD = 1.08 years; 48.8% females) were included in the study; 11.9% of whom presented stunting, and 6.7% overweight. We identified four dietary patterns: Fruits and Vegetables [F&V], Western [W], Traditional [T], and Milk and Liquids [M&L]. Considering the lowest tertile of each dietary pattern as reference, the prevalence of stunting was 2.04 times higher [95%CI: 1.17–3.56] among children in the highest tertile of the “F&V” pattern. The prevalence of stunting was lower among children in the highest tertile of the “W” pattern [PR = 0.48; 95%CI: 0.27–0.85]. Overweight was negatively associated with the “F&V” dietary pattern [PR = 0.37; 95%CI: 0.16–0.85 for its highest tertile], and children whose consumption was mostly equivalent to the “T” pattern showed higher prevalence of stunting [PR = 1.74; 95%CI: 1.01–3.00]. CONCLUSIONS The prevalence of stunting and overweight in a nationwide sample of Mexican preschoolers was associated with dietary patterns.

scholarly journals Trajectories of Dietary Patterns and Their Associations with Overweight/Obesity among Chinese Adults: China Health and Nutrition Survey 1991–2018

Nutrients ◽  
2021 ◽  
Vol 13 (8) ◽  
pp. 2835 ◽  
Author(s):  
Jiguo Zhang ◽  
Huijun Wang ◽  
Zhihong Wang ◽  
Feifei Huang ◽  
Xiaofan Zhang ◽  
...  
Keyword(s):  
Dietary Patterns ◽  
Dietary Pattern ◽  
Chinese Adults ◽  
Nutrition Survey ◽  
Health And Nutrition ◽  
Group 3 ◽  
Group 2 ◽  
Prospective Association ◽  
Initial Score ◽  
The Impact

It is essential to understand the impact of different dietary pattern trajectories on health over time. Therefore, we aimed to explore the long-term trajectories of dietary patterns among Chinese adults and examine the prospective association between different trajectory groups and the risk of overweight/obesity. The sample was 9299 adults aged 18 years or older from the China Health and Nutrition Survey (CHNS) between 1991 and 2018. We used factor analysis to identify dietary patterns and group-based trajectory modeling to identify dietary pattern trajectories. Three trajectories of a southern pattern and a modern pattern and four trajectories of a meat pattern were identified. Participants who followed the highest initial score and a slight decrease trajectory (OR = 1.63; 95% CI: 1.04, 2.54) of the meat dietary pattern were positively associated with risk of overweight/obesity when compared with the lowest initial score trajectory. The southern dietary pattern and the modern dietary pattern trajectories of participants in Group 2 (OR = 0.64; 95% CI: 0.51, 0.81; OR = 0.76; 95% CI: 0.63, 0.91) and Group 3 (OR = 0.71; 95% CI: 0.54, 0.91; OR = 0.64; 95% CI: 0.44, 0.90) were associated with lower risk of overweight/obesity when compared with Group 1. We observed that dietary pattern trajectories have different associations with overweight/obesity among Chinese adults.

scholarly journals Dietary patterns and the risk of metabolic syndrome in Chinese adults: a population-based cross-sectional study

2018 ◽  
Vol 21 (13) ◽  
pp. 2409-2416 ◽  
Author(s):  
Zhi-Yong Wei ◽  
Jun-Jie Liu ◽  
Xue-Mei Zhan ◽  
Hao-Miao Feng ◽  
Yuan-Yuan Zhang
Keyword(s):  
Metabolic Syndrome ◽  
Dietary Patterns ◽  
Multivariate Logistic Regression Analysis ◽  
High Energy ◽  
Population Based ◽  
Cross Sectional ◽  
Animal Food ◽  
Food Pattern ◽  
Increased Risk ◽  
Reduced Risk

AbstractObjectiveData on dietary patterns in relation to the risk of metabolic syndrome (MetS) in a middle-aged Chinese population are sparse. The present study was performed to determine the major dietary patterns among a population aged 45–59 years and to evaluate their associations with MetS risk in China.DesignCross-sectional examination of the association between dietary patterns and MetS. Face-to-face interviews were used to assess dietary intake using a validated semi-quantitative FFQ. OR and 95 % CI for MetS were calculated across quartiles of dietary pattern scores using multivariate logistic regression analysis models.SettingCity of Linyi, Shandong Province, China.SubjectsAdults (n 1918) aged 45–59 years.ResultsThree major dietary patterns were identified: traditional Chinese, animal food and high-energy. After adjustment for potential confounders, individuals in the highest quartile of the traditional Chinese pattern had a reduced risk of MetS relative to the lowest quartile (OR=0·72, 95 % CI 0·596, 0·952; P<0·05). Compared with those in the lowest quartile, individuals in the highest quartile of the animal food pattern had a greater risk of MetS (OR=1·28; 95 % CI 1·103, 1·697; P<0·05). No significant association was observed between the high-energy pattern and risk of MetS.ConclusionsThese findings indicate that the traditional Chinese pattern was associated with a reduced risk, while the animal food pattern was associated with increased risk of MetS. Given the cross-sectional nature of our study, further prospective studies are warranted to confirm these findings.

scholarly journals Dietary pattern and depressive symptoms in middle age

2009 ◽  
Vol 195 (5) ◽  
pp. 408-413 ◽  
Author(s):  
Tasnime N. Akbaraly ◽  
Eric J. Brunner ◽  
Jane E Ferrie ◽  
Michael G. Marmot ◽  
Mika Kivimaki ◽  
...  
Keyword(s):  
Dietary Patterns ◽  
Dietary Pattern ◽  
Dairy Products ◽  
Epidemiologic Studies ◽  
Processed Meat ◽  
Processed Food ◽  
High Fat ◽  
Refined Grains ◽  
Food Pattern ◽  
High Consumption

BackgroundStudies of diet and depression have focused primarily on individual nutrients.AimsTo examine the association between dietary patterns and depression using an overall diet approach.MethodAnalyses were carried on data from 3486 participants (26.2% women, mean age 55.6 years) from the Whitehall II prospective cohort, in which two dietary patterns were identified: ‘whole food’ (heavily loaded by vegetables, fruits and fish) and ‘processed food’ (heavily loaded by sweetened desserts, fried food, processed meat, refined grains and high-fat dairy products). Self-reported depression was assessed 5 years later using the Center for Epidemiologic Studies – Depression (CES–D) scale.ResultsAfter adjusting for potential confounders, participants in the highest tertile of the whole food pattern had lower odds of CES–D depression (OR = 0.74, 95% CI 0.56–0.99) than those in the lowest tertile. In contrast, high consumption of processed food was associated with an increased odds of CES–D depression (OR = 1.58, 95% CI 1.11–2.23).ConclusionsIn middle-aged participants, a processed food dietary pattern is a risk factor for CES–D depression 5 years later, whereas a whole food pattern is protective.

scholarly journals Dietary patterns and their associations with childhood obesity in China

2015 ◽  
Vol 113 (12) ◽  
pp. 1978-1984 ◽  
Author(s):  
Jiguo Zhang ◽  
Huijun Wang ◽  
Youfa Wang ◽  
Hong Xue ◽  
Zhihong Wang ◽  
...  
Keyword(s):  
Children And Adolescents ◽  
Dietary Patterns ◽  
Dietary Pattern ◽  
Chinese Children ◽  
Nutrition Survey ◽  
Fast Foods ◽  
Health And Nutrition ◽  
Limited Applicability ◽  
The Impact ◽  
Chinese Children And Adolescents

Dietary patterns represent the combined effects of foods, and illustrate efficaciously the impact of diet on health outcomes. Some findings of previous studies have limited applicability to Chinese children due to cultural factors. The presnt study was designed to identify dietary patterns and determine their relationships with obesity among Chinese children and adolescents. Data collected from 1282 children and adolescents aged 7–17 years from the 2011 China Health and Nutrition Survey (CHNS) were used. Dietary patterns were identified using factor analysis of data from three consecutive 24-h dietary recalls. Weight and height were measured following standard methods, and BMI was calculated. Three dietary patterns were identified: modern (high intakes of milk, fast foods and eggs), traditional north (high intakes of wheat, tubers and other cereals) and traditional south (high intakes of vegetables, rice and pork). After adjusting for some confounders and total energy intake, subjects in the highest quartiles of the modern and traditional north patterns were found to have significantly greater risk of obesity (OR 3·10, 95 % CI 1·52, 6·32, and OR 2·42, 95 % CI 1·34, 4·39, respectively). In conclusion, the modern dietary pattern and the traditional north dietary pattern were associated with higher risk of obesity. Promoting healthier eating patterns could help prevent obesity in Chinese children.

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