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.

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.

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 High Staple Food and Fat Dietary Patterns May Related to Obesity in Uygur Adults (P18-068-19)

2019 ◽  
Vol 3 (Supplement_1) ◽  
Author(s):  
Jia Han ◽  
Rigeli Tie ◽  
Shu Xu ◽  
Qian-qian Yuan ◽  
Yalu Yu ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Dietary Patterns ◽  
Dietary Habits ◽  
Cross Sectional Study ◽  
Dietary Intakes ◽  
Staple Food ◽  
High Fat ◽  
Cross Sectional ◽  
Food Pattern ◽  
Vegetables And Fruits

Abstract Objectives Diet is a primary factor for obesity. Dietary pattern analysis examines the effects of overall diet, and possible to examine distinct dietary patterns reflecting different dietary habits which may be related to the development of obesity. Dietary patterns and obesity in Uygur population remain unclear. The aim of this cross-sectional study was to investigate the relationship between dietary patterns and risk of obesity in 515 Uygur adults. Methods Dietary intakes were assessed by semi-quantitative frequency questionnaire (FFQ). All anthropometric measurements were obtained using standardized procedures. Dietary patterns were derived using the factor analysis and logistic regression was used to examine the association between dietary patterns and obesity with adjustment of potential confounding variables. Results Four dietary patterns were identified: coarse cereals pattern (grains other than wheat and rice, vegetables, fruits, etc.), nut pattern (beans and nut, dairy, eggs, etc.), staple food pattern (refined rice and wheat, eggs, tea, salt, etc.), high-fat pattern (fats, tea, salt, etc.). Further analysis found that the incidence of obesity was significantly higher in the highest tertile (Q3) group who tended to have higher intake of “staple foods” and “high-fat foods” compared to the lowest tertile (Q1), while coarse cereals pattern was lower in the Q3 than Q1 (P < 0.001) group. After adjustment for relevant confounders, logistic regression analysis showed that the “coarse cereals pattern” was negatively associated with obesity [OR = 0.619, 95%CI = (0.28∼0.96), P < 0.05], while “staple food pattern” [OR = 2.488, 95%CI = (2.25∼2.73), P < 0.05] and “high-fat pattern” [OR = 3.064, 95%CI = (2.79∼3.34), P < 0.05] were positively associated with obesity. Conclusions In our study, the staple food patterns and high-fat patterns could increase the risk of obesity, while coarse cereals patterns, a high consumption of coarse cereals, vegetables and fruits, may reduce the risk of obesity. Our results suggested that low dietary fiber maybe a risk factor of obesity in Uygur people. Further prospective studies are warranted to confirm these findings. Funding Sources This study was supported by National Natural Science Foundation of China (NSFC). Supporting Tables, Images and/or Graphs

scholarly journals Association between diet and periodontitis: a cross-sectional study of 10,000 NHANES participants

2020 ◽  
Vol 112 (6) ◽  
pp. 1485-1491 ◽  
Author(s):  
David M Wright ◽  
Gerry McKenna ◽  
Anne Nugent ◽  
Lewis Winning ◽  
Gerard J Linden ◽  
...  
Keyword(s):  
Dietary Patterns ◽  
Cross Sectional Study ◽  
Plain Water ◽  
Dietary Recommendations ◽  
Clinical Attachment Loss ◽  
Cross Sectional ◽  
Nutrition Research ◽  
Median Proportion ◽  
Dietary Pattern Analysis ◽  
Negative Gradient

ABSTRACT Background Periodontitis is a major cause of tooth loss globally. Risk factors include age, smoking, and diabetes. Intake of specific nutrients has been associated with periodontitis risk but there has been little research into the influence of overall diet, potentially more relevant when formulating dietary recommendations. Objectives We aimed to investigate potential associations between diet and periodontitis using novel statistical techniques for dietary pattern analysis. Methods Two 24-h dietary recalls and periodontal examination data from the cross-sectional US NHANES, 2009–2014 (n = 10,010), were used. Dietary patterns were extracted using treelet transformation, a data-driven hierarchical clustering and dimension reduction technique. Associations between each pattern [treelet component (TC)] and extent of periodontitis [proportion of sites with clinical attachment loss (CAL) ≥ 3 mm] were estimated using robust logistic quantile regression, adjusting for age, sex, ethnicity, education level, smoking, BMI, and diabetes. Results Eight TCs explained 21% of the variation in diet, 1 of which (TC1) was associated with CAL extent. High TC1 scores represented a diet rich in salad, fruit, vegetables, poultry and seafood, and plain water or tea to drink. There was a substantial negative gradient in CAL extent from the lowest to the highest decile of TC1 (median proportion of sites with CAL ≥ 3 mm: decile 1 = 19.1%, decile 10 = 8.1%; OR, decile 10 compared with decile 1: 0.67; 95% CI: 0.46, 0.99). Conclusions Most dietary patterns identified were not associated with periodontitis extent. One pattern, however, rich in salad, fruit, and vegetables and with plain water or tea to drink, was associated with lower CAL extent. Treelet transformation may be a useful approach for calculating dietary patterns in nutrition research.

scholarly journals 28201 A cross-sectional study of dietary patterns and nutrient intakes in the oldest old

2021 ◽  
pp. 1-2
Author(s):  
Ashley C. Flores ◽  
Yi-Hsuan Liu ◽  
Xiang Gao ◽  
G. Craig Wood ◽  
Brian A. Irving ◽  
...  
Keyword(s):  
Dietary Patterns ◽  
Oldest Old ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Nutrient Intakes ◽  
Cross Sectional

scholarly journals Associations between dietary patterns and gene expression profiles of healthy men and women: a cross-sectional study

2013 ◽  
Vol 12 (1) ◽  
Author(s):  
Annie Bouchard-Mercier ◽  
Ann-Marie Paradis ◽  
Iwona Rudkowska ◽  
Simone Lemieux ◽  
Patrick Couture ◽  
...  
Keyword(s):  
Gene Expression ◽  
Dietary Patterns ◽  
Expression Profiles ◽  
Gene Expression Profiles ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Cross Sectional ◽  
Men And Women ◽  
Healthy Men

scholarly journals Associations between Dietary Patterns and Impaired Fasting Glucose in Chinese Men: A Cross-Sectional Study

Nutrients ◽  
2015 ◽  
Vol 7 (9) ◽  
pp. 8072-8089 ◽  
Author(s):  
Meilin Zhang ◽  
Yufeng Zhu ◽  
Ping Li ◽  
Hong Chang ◽  
Xuan Wang ◽  
...  
Keyword(s):  
Impaired Fasting Glucose ◽  
Dietary Patterns ◽  
Fasting Glucose ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Cross Sectional ◽  
Chinese Men

scholarly journals Association of Dietary Patterns with Metabolic Syndrome: Results from the Kardiovize Brno 2030 Study

Nutrients ◽  
2018 ◽  
Vol 10 (7) ◽  
pp. 898 ◽  
Author(s):  
Antonella Agodi ◽  
Andrea Maugeri ◽  
Sarka Kunzova ◽  
Ondrej Sochor ◽  
Hana Bauerova ◽  
...  
Keyword(s):  
Metabolic Syndrome ◽  
Dietary Patterns ◽  
Dietary Pattern ◽  
International Diabetes Federation ◽  
Principal Component ◽  
Cross Sectional Study ◽  
Cross Sectional ◽  
Logistic Regression Models ◽  
Western Dietary Pattern ◽  
High Adherence

Although metabolic syndrome (MetS) could be handled by lifestyle interventions, its relationship with dietary patterns remains unclear in populations from Central Europe. Using data from the Kardiovize Brno cohort, the present study aims to identify the main dietary patterns and to evaluate their association with MetS risk in a random urban sample from Brno, Czech Republic. In a cross-sectional study of 1934 subjects aged 25–65 years (44.3% male), dietary patterns were derived by food frequency questionnaire (FFQ) administration and principal component analysis. Metabolic syndrome was defined according to the International Diabetes Federation statement. Logistic regression models were applied. High adherence to the prudent dietary pattern was associated with lower odds of abdominal obesity, abnormal glucose concentration, and MetS. By contrast, high adherence to the western dietary pattern was associated with higher odds of abnormal glucose, triglycerides and blood pressure levels. Whilst our results confirm the deleterious effect of a western dietary pattern on several metabolic risk factors, they also indicate that the consumption of a diet rich in cereals, fish, fruit and vegetables is associated with a healthier metabolic profile. However, further prospective research is warranted to develop and validate novel potential preventive strategies against MetS and its complications.

scholarly journals Correlation between cancer and dietary patterns: A multicenter cross-sectional study

2017 ◽  
Vol 8 ◽  
pp. 120
Author(s):  
K. Yamamoto ◽  
Y. Yamada ◽  
A. Minematsu ◽  
M. Saito ◽  
T. Yano ◽  
...  
Keyword(s):  
Dietary Patterns ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Cross Sectional
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