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Objective@#To explore the association between dietary pattern which benefit for normal kidney function and the risk of cognitive decline or impairment in the elderly.@*Methods@#In 2015, subjects aged 60 and over from four counties in the Nutrition and Chronic Disease Family Cohort project, were followed up in 2017. Cognitive function was repeatedly assessed, using the Mini Mental State Evaluation (MMSE) scale. Dietary pattern that benefit for normal kidney function was extracted, using the reduced rank regression method and followed by logistic regression models to explore the associations between scores that showing the kidney function on dietary patterns and the risk of cognitive deterioration and impairment in two years among those who were with normal cognition in 2015.@*Results@#Dietary pattern that benefit for normal kidney function, was characterized by high consumption of cereal, vegetables, legume and fruits but with less meat and soy products. Comparing with the group with lowest score quartile on this dietary pattern, the risk of cognitive deterioration in the highest quartile group was significantly low (P<0.01) in two years, with an odds ratio as 0.57 (95%CI: 0.37-0.85). Linear trend was also obviously visible (P=0.007) in this group. The ones at the highest quartile group among the normal cognition ones in 2015, the risk of cognitive impairment also significantly reduced (P<0.05) in two years time, with an odds ratio as 0.52 (95%CI: 0.29-0.93). Also, linear trend could obviously be seen (P=0.01).@*Conclusion@#Dietary pattern that benefit for normal kidney function was both inversely associated with cognitive deterioration and impairment, in two years.
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Objective To study the association between blood pressure related dietary pattern and cognitive impairment in the elderly.Methods In 2015,all participants who were aged ≥60 and participated in the Nutrition and Chronic disease family cohort were involved in the study.Information on demographic variables,lifestyle and health status was collected.Cognitive performance was assessed by the Mini Mental State Evaluation (MMSE) scale.Blood pressure,height and weight were measured by trained medical personnel and fasting venous blood samples were collected for testing on serum level of triglycerides and total cholesterol.Both SBP and DBP were used as response variables when dietary patterns were identified by reduced rank regression method.Logistic regression models were fit to explore the associations of scores on blood pressure-related dietary pattern and cognitive impairment.Results Two blood related dietary patterns were identified.The first one was characterized by high consumption of vegetables and less meat,eggs and dessert (Pattern 1),while the second one was with high consumption of meat,soy products,wine and fried foods and less intake of dairy (Pattem 2).Data showed that the Pattern 1 was associated with the risk of cognitive impairment.Comparing with the lowest quartile of score of this dietary pattern,the risk of cognitive impairment in the highest quartile group showed a significant (P＜0.01) increase,with OR=1.94 (1.21-3.11) and showing significant (P=0.002) linear trend.However,no significant association was observed (P＞ 0.05) with cognitive impairment in the second dietary pattern.Conclusion Blood pressure-related dietary pattern was positively associated with cognitive impairment.
ABSTRACT
Objective To study the association between blood pressure related dietary pattern and cognitive impairment in the elderly.Methods In 2015,all participants who were aged ≥60 and participated in the Nutrition and Chronic disease family cohort were involved in the study.Information on demographic variables,lifestyle and health status was collected.Cognitive performance was assessed by the Mini Mental State Evaluation (MMSE) scale.Blood pressure,height and weight were measured by trained medical personnel and fasting venous blood samples were collected for testing on serum level of triglycerides and total cholesterol.Both SBP and DBP were used as response variables when dietary patterns were identified by reduced rank regression method.Logistic regression models were fit to explore the associations of scores on blood pressure-related dietary pattern and cognitive impairment.Results Two blood related dietary patterns were identified.The first one was characterized by high consumption of vegetables and less meat,eggs and dessert (Pattern 1),while the second one was with high consumption of meat,soy products,wine and fried foods and less intake of dairy (Pattem 2).Data showed that the Pattern 1 was associated with the risk of cognitive impairment.Comparing with the lowest quartile of score of this dietary pattern,the risk of cognitive impairment in the highest quartile group showed a significant (P＜0.01) increase,with OR=1.94 (1.21-3.11) and showing significant (P=0.002) linear trend.However,no significant association was observed (P＞ 0.05) with cognitive impairment in the second dietary pattern.Conclusion Blood pressure-related dietary pattern was positively associated with cognitive impairment.
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Several studies have been conducted on dietary patterns based on carbohydrate nutrition in Asian populations. We examined the cross-sectional associations in dietary patterns based on carbohydrate nutrition, including the glycemic index (GI) with dyslipidemia and diabetes among the Korean adult population. We analyzed 9,725 subjects (3,795 men and 5,930 women, > or = 20 years) from the Fourth Korea National Health and Nutrition Examination Survey. Dietary information was collected using single 24-hour recall. Reduced rank regression was used to derive dietary patterns from 22 food groups as predictor variables and four dietary factors related to the quantity and quality of carbohydrates as response variables. Two dietary patterns were identified: 1) the balanced pattern was characterized by high intake of various kinds of foods including white rice, and 2) the rice-oriented pattern was characterized by a high intake of white rice but low intake of vegetables, fruits, meat, and dairy products. Both patterns had considerable amounts of total carbohydrate, but GI values differed. The rice-oriented pattern was positively associated with hypertriglyceridemia in men and low high density lipoprotein-cholesterol in both men and women. The balanced pattern had no overall significant association with the prevalence of dyslipidemia or diabetes, however, men with energy intake above the median showed a reduced prevalence of diabetes across quintiles of balanced pattern scores. The results show that dietary patterns based on carbohydrate nutrition are associated with prevalence of dyslipidemia and diabetes in the Korean adult population.
Subject(s)
Adult , Female , Humans , Male , Asian People , Carbohydrates , Dairy Products , Dyslipidemias , Energy Intake , Fruit , Glycemic Index , Hypertriglyceridemia , Korea , Meat , Nutrition Surveys , Prevalence , VegetablesABSTRACT
Introdução: a regressão por redução de posto (RRR) é uma técnica que vem sendo empregada na epidemiologia nutricional desde 2004. O objetivo dela é encontrar padrões alimentares associados a algum desfecho. Assim, ela é considerada uma técnica que combina informações a priori e a posteriori. A informação a priori é um conhecimento prévio da associação entre as variáveis intermediárias (biomarcadores, nutrientes) e o desfecho (doença), e a posteriori é a combinação entre as variáveis intermediárias e o consumo alimentar (variáveis preditoras). A RRR tenta explicar o máximo possível da variação das variáveis intermediárias através das variáveis preditoras. Objetivos: fornecer uma breve revisão teórica da técnica e descrever as rotinas computacionais em SAS. Métodos: análise ilustrativa utilizando-se dados do estudo Condições de saúde das mulheres: estudo de base populacional na região do Vale do Rio dos Sinos. Foram utilizadas como variáveis intermediárias o consumo dos nutrientes sódio, potássio e gordura saturada; as variáveis preditoras foram a frequência de consumo de 70 tipos de alimentos. Conclusão: a RRR é uma poderosa ferramenta para detectar padrões alimentares que podem estar associados a alguma doença de interesse
Background: the reduced rank regression (RRR) is a technique that has been used in nutritional epidemiology since 2004. Its goal is to find food patterns associated with a particular outcome. Thus, it is considered a technique which combines prior and posterior information. The prior information consists of a previous knowledge on the association between intermediate variables (biomarkers, nutrients) and outcome (disease). The posterior information consists of the combination between intermediate variables and food consumption (predictor variable). Aims: to provide a brief theoretical review of the technique and to describe the computational routines in SAS software. Methods: An illustrative analysis using data from the study Health conditions of women: a population-based study in the Vale do Rio dos Sinos The intermediate variables were the consumption of the nutrients sodium, potassium, and saturated fat and the predictor variables were the frequencies of consumption of 70 foods. Conclusion: The RRR is a powerful technique to detect food patterns that could be associated with a particular disease of interest
Subject(s)
MedicineABSTRACT
The purpose of this study was to identify dietary patterns among Korean elementary school girls based on the change in body mass index (BMI), body fat, bone mineral density (BMD), and bone mineral content (BMC) during 22 months and to explore the characteristics of dietary patterns identified. Girls aged 9-11 years were recruited and 3-day dietary data were collected four times. Subjects with a diet record of 8 or more days and anthropometric data measured at baseline and 22 months later were included (n = 198). Reduced rank regression was utilized to derive dietary patterns using a change in BMI, body fat, and calcaneus BMD and BMC as response variables. Two dietary patterns were identified: the "Egg and Rice" dietary pattern and "Fruit, Nuts, Milk Beverage, Egg, Grain" (FNMBEG) dietary pattern. Subjects who had high score on the FNMBEG pattern consumed various food groups, including fruits, nuts and seeds, and dairy products, whereas subjects in the "Egg and Rice" dietary pattern group did not. Both dietary patterns showed a positive association with change in BMI and body fat. However, subjects who had a higher score on the "Egg and Rice" dietary pattern had less of a BMC increase, whereas subjects who had a higher score on the FMBEG dietary pattern had more increased BMC over 22 months after adjusting for age, body and bone mass, and Tanner stage at baseline. Our results provide evidence that a well-balanced diet contributes to lean body mass growth among young girls.