Meal-specific dietary patterns and their contribution to overall dietary patterns in the Japanese context: Findings from the 2012 National Health and Nutrition Survey, Japan

Nutrition ◽  
2019 ◽  
Vol 59 ◽  
pp. 108-115 ◽  
Author(s):  
Kentaro Murakami ◽  
M. Barbara E. Livingstone ◽  
Satoshi Sasaki
2021 ◽  
Vol 10 ◽  
Author(s):  
Elsa B. Gaona-Pineda ◽  
Brenda Martinez-Tapia ◽  
Sonia Rodríguez-Ramírez ◽  
Selene Guerrero-Zúñiga ◽  
Rogelio Perez-Padilla ◽  
...  

Abstract Given the high prevalence of multiple non-communicable chronic diseases in Mexico, the aim of the present study was to assess the association between dietary patterns and sleep disorders in a national representative sample of 5076 Mexican adults (20–59 years) from the 2016 National Health and Nutrition Survey. Through a cross-sectional study, we used the Berlin sleep symptoms questionnaire to estimate the proportion of adults with insomnia, obstructive sleep apnoea (OSA) and other related problems such as daytime symptoms and inadequate sleep duration. Dietary data were collected through a seven-day semi-quantitative food frequency questionnaire, and dietary patterns were determined through cluster analysis. Associations between dietary patterns and sleep disorders were assessed by multivariate logistic regression models adjusted for age, sex, well-being, rural/urban area type, geographical region, tobacco use, physical activity level and energy intake. Three dietary patterns were identified: traditional (high in legumes and tortilla), industrialised (high in sugar-sweetened beverages, fast foods, and alcohol, coffee or tea) and mixed (high in meat, poultry, fruits and vegetables). Multivariate logistic regression showed that the industrialised pattern yielded higher odds for daytime symptoms (OR 1⋅49; 95 % CI 1⋅12, 1⋅99) and OSA (OR 1⋅63; 95 % CI 1⋅21, 2⋅19) compared with the traditional pattern. In conclusion, dietary patterns are associated with sleep disorders in Mexican adults. Further research is required to break the vicious cycle of poor-quality diet, sleep symptoms and health.


Diabetes Care ◽  
2007 ◽  
Vol 30 (7) ◽  
pp. 1904-1905 ◽  
Author(s):  
J. A Kim ◽  
S. M. Kim ◽  
J. S. Lee ◽  
H. J. Oh ◽  
J. H. Han ◽  
...  

Nutrients ◽  
2018 ◽  
Vol 10 (8) ◽  
pp. 994 ◽  
Author(s):  
Kentaro Murakami ◽  
M. Livingstone ◽  
Satoshi Sasaki

We examined 13-year trends in dietary patterns, using data from the National Health and Nutrition Survey, Japan 2003–2015. In repeated, independent cross-sectional studies, dietary intake was assessed with a one-day weighed dietary record in 88,527 Japanese adults aged ≥20 years. Using principal component analysis based on the daily consumption of 31 food groups, we identified three dietary patterns, the “plant food and fish”, “bread and dairy”, and “animal food and oil” patterns. In the whole sample, the “plant food and fish” pattern score decreased while the “bread and dairy” and “animal food and oil” pattern scores increased. The decreasing trends in the “plant food and fish” pattern were observed in all subgroups considered. The increasing trends in the “bread and dairy” pattern were similar across sexes and by current smoking status. However, in terms of age, occupation, and weight status, the increasing trends were only evident in particular subgroups (i.e., age 50–64 and ≥65 years; security/transportation/labor occupation and nonworker; and normal weight and overweight participants). For the “animal food and oil” pattern, the increasing trends were observed in all subgroups, except for the youngest age group (20–34 years old). This study suggests continuous Westernization of the Japanese diet.


2019 ◽  
Vol 22 (13) ◽  
pp. 2460-2468 ◽  
Author(s):  
Emiko Okada ◽  
Kunihiko Takahashi ◽  
Koshi Nakamura ◽  
Shigekazu Ukawa ◽  
Saeka Takabayashi ◽  
...  

AbstractObjectivePrevious studies have associated dietary patterns with diabetes risk in Western countries, but such studies among the Japanese population are scarce. The present study aimed to investigate dietary patterns associated with abnormal glucose tolerance determined by elevated glycated Hb (HbA1c) levels.DesignThe 2012 National Health and Nutrition Survey (NHNS) database was used for the cross-sectional study. Dietary patterns were analysed by factor analysis of twenty-five food items from the dietary intake survey and household-based semi-weighed dietary records. OR and 95 % CI for elevated HbA1c levels (≥6·5 %) according to dietary patterns were estimated using logistic regression models.SettingJapan.ParticipantsThe study population comprised 9550 Japanese aged ≥40 years registered in the nationwide NHNS.ResultsThree dietary patterns were identified: (i) high-bread and low-rice; (ii) high-meat and low-fish; and (iii) vegetable. The high-bread and low-rice pattern, characterised by high frequent consumption of bread, milk and dairy products, and fruits, and low rice intake, was associated with marginally decreased prevalence of elevated HbA1c levels (P trend=0·047). The vegetable pattern, characterised by vegetables, mushrooms, soyabeans and soybean products, was significantly inversely associated with elevated HbA1c levels (4th v. 1st quartile: multivariable OR=0·68; 95 % CI 0·49, 0·95; P trend=0·007).ConclusionsOur findings suggest that the vegetable pattern is associated with decreased prevalence of elevated HbA1c levels among Japanese.


2020 ◽  
Vol 4 (Supplement_2) ◽  
pp. 545-545
Author(s):  
Nancy López-Olmedo ◽  
Satya Jonnalagadda ◽  
Ana Basto-Abreu ◽  
Alan Reyes-García ◽  
Carolyn Alish ◽  
...  

Abstract Objectives To compare the intake of macronutrients, micronutrients, and dietary patterns between Mexican adults with and without diabetes. Methods Design: We calculated the mean intakes and adequacies of energy, macronutrients and micronutrients, and factor analysis was used to identify dietary patterns. We computed sex-specific, age- and energy-adjusted and fully-adjusted linear regression models to test whether nutrient intakes and dietary patterns scores were different by diabetes status. Setting: Mexico Participants: Mexican men (n 1142) and women (n 1620) participating in the Mexican National Health and Nutrition Survey 2012. Results The energy intake from carbohydrates and added sugars was lower in men and women with diabetes than in men and women without diabetes, but slightly above the recommended among adults with diabetes. Men with diabetes consumed more protein, total, monounsaturated and saturated fatty acids, vitamin D, calcium, and potassium than men without diabetes. The score for the prudent pattern and basic dietary pattern was 0.49 higher and 0.35 lower, respectively, among men with diabetes versus men without diabetes (P < 0.05). Among women, there was no difference in the three dietary patterns (prudent, basic, and industrialized) by diabetes status. Conclusions Mexican adults with diabetes, especially men, had better daily nutrient intake and dietary pattern profiles than adults without diabetes. However, intakes of several nutrients are still inadequate in a large proportion of individuals with diabetes. It is pivotal to assure the dietary recommendations are given considering the potential differences by gender to improve the prevention, management, and control of the diabetes. Funding Sources This secondary data analysis was funded through a research grant from Abbott Nutrition.


2020 ◽  
Vol 4 (Supplement_2) ◽  
pp. 1405-1405
Author(s):  
Elsa Gaona-Pineda ◽  
Sonia Rodríguez-Ramírez ◽  
Brenda Martínez-Tapia ◽  
Selene Guerrero-Zúñiga ◽  
Rogelio Pérez-Padilla ◽  
...  

Abstract Objectives To assess the association between dietary patterns and sleep disorders in a nationally representative sample of Mexican adults (20–59 y). Methods Sleep symptoms and dietary information of a sample of 5076 Mexican adults from 2016 National Health and Nutrition Survey were analyzed. If perception of nonrestorative sleep or feeling sleepy/tired during the day ≥3 days/week were reported in a sleep symptoms questionnaire daytime sleepiness was defined. Dietary data was obtained through a semi-quantitative food frequency questionnaire of 7 days. Food and beverages were classified into 26 food groups: Sweetened dairy and non-dairy beverages, Non-sweetened dairy and non-dairy beverages, Fruits, Vegetables, Other dairy products, Legumes, Cereal-based salty dishes, Corn-based salty dishes, Fast food, Eggs, Meat and poultry, Processed meat, Bakery products, Candies, Desserts, Salty snacks, Nuts and Seeds, Added fats, Tortilla, Soup, Ready-to-eat cereals, Bread, Potatoes, Alcohol, coffee and tea. Dietary patterns were generated through k-means cluster analysis using the standardized percentage of energy intake contribution of each food group. Logistic regression model adjusted by age, sex, socioeconomic status, rural/urban area, geographical region, tobacco use, physical activity level and total energy intake was done to assess the association. All statistical analyses were performed using STATA 14.0, with SVY commands. Results Three dietary patterns were identified: traditional (high in legumes and tortilla), industrialized (high in sweetened beverages, fast food and alcohol, coffee or tea) and mixed (high in meat, poultry, fruits and vegetables). 19.5% Mexican adults reported daytime sleepiness, it was higher in women (24.1%; 95% CI: 21.2, 27.2) than in men (14.5%; 95% CI: 12, 17.3). Multivariate logistic regressions showed that the industrialized pattern had higher odds for daytime sleepiness (OR = 1.49; 95% CI: 1.12, 1.99) than the traditional pattern. Conclusions Dietary patterns are associated with sleep disorders, such as daytime sleepiness in Mexican adults. Further research is needed to break the vicious circle of poor-quality diets, sleep disorders and health. Funding Sources Mexican Ministry of Health.


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