National Health And Nutrition Survey Research Articles

Are higher protein intake and distribution of protein intake related to higher appendicular muscle mass among an older Japanese population?: A cross-sectional analysis of the National Health and Nutrition Survey 2017.

Protein intake is an important component in retaining muscle mass, especially among older people. This study examined the relationship between total protein intake and/or the distribution of protein intake in each meal and appendicular muscle mass, using data from the National Health and Nutrition Survey (NHNS) in Japan. Data from the NHNS were re-analyzed in this study. We used data from a one-day dietary record, physical examination, and lifestyle questionnaire completed by 1766 participants aged over 60 years. Appendicular muscle mass was assessed by multiple-frequency bioimpedance measurement. Leucine intake was calculated by the weighted average amino acid content from all 98 food subcategories used in the NHNS, based on amino acid composition data in the 2020 Standard Tables of Food Composition. Participants with higher protein intake showed significantly higher appendicular muscle mass. This relationship was independent of physical activity, including steps taken per day, exercise habit, and physical labor. Frequent intake of ≥0.4 g protein/kg/meal was not related to appendicular muscle mass. The combination of higher total protein intake and higher physical activity seemed to have the largest association with appendicular muscle mass. Higher protein intake may be related to higher appendicular muscle mass, independent of higher physical activity, among older Japanese people. Geriatr Gerontol Int 2024; ••: ••-••.

A scoping review of dietary assessment questionnaires potentially suitable for assessing habitual dietary intake in the National Health and Nutrition Survey, Japan.

This scoping review aimed to identify questionnaire-based dietary assessment methods for use in the National Health and Nutrition Survey (NHNS) in Japan. The search was conducted in three databases (PubMed, Web of Science, and Ichushi) to identify questionnaire such as food frequency questionnaire and dietary history questionnaire validated against dietary recalls or food records for the intakes of both food groups and nutrients among Japanese adults. Study quality was assessed based on previously developed criteria. We extracted the questionnaire characteristics and the design and results of the validation studies. We identified 11 questionnaires, with the number of food items ranging from 40 to 196, from 32 articles of good quality. In the validation studies, participants were aged 30-76years and 90% of the articles used ≥3d dietary records as reference. The number of nutrients and food groups with a group-level intake difference within 20% against the reference method ranged from 1 to 30 and 1 to 11, respectively. The range of mean correlation coefficients between questionnaire and reference methods were 0.35-0.57 for nutrients and 0.28-0.52 for food groups. When selecting a survey instrument in the NHNS from the 11 existing questionnaires identified in this study, it is important to select one with high group-level comparison and correlation coefficient values on the intended assessment items after scrutinizing the design and results of the validation study. This review may serve as a reference for future studies that explore dietary assessment tools used for assessing dietary intake in specific representative populations.

Current Findings from the Japan National Health and Nutrition Survey

In this Special Issue, six articles using the Japan National Health and Nutrition Survey (NHNS) were published [...]

Possible Measures to Improve Both Participation and Response Quality in Japan's National Health and Nutrition Survey: Results from a Workshop by Local Government Personnel in Charge of the Survey.

Increasing participation rates are crucial to ensure the representativeness of national survey results of the population. This study aimed to identify measures that could be taken by local government personnel in charge of the National Health and Nutrition Survey (NHNS), Japan, to improve participation rates. The subjects were twenty-one health personnel who worked in 19 local governments and participated in the training course at the National Institute of Public Health. Qualitative data were collected through a workshop. They discussed the problems that seem to affect participation rates and identified possible solutions. The contents were coded and grouped to create categories, using the Jiro Kawakita (KJ) method. For data analysis, researchers combined and reviewed all codes and categories. The measures that could improve participation rates were divided into the following 12 categories: 1. standardization of survey methods, 2. investigator skills, 3. survey organization, 4. venue setting, 5. accessing target households, 6. time of survey, 7. responses during the investigation, 8. confirming meal contents reported in the nutritional intake status survey, 9. rewards/incentives, 10. possible rewards, 11. feedback on survey results, and 12. survey practices during the COVID-19 pandemic. These findings represent viable initiatives for local health personnel to increase participation rates for the NHNS.

875Association between dietary inflammatory index and sleep duration

Abstract Background Diet and sleep are strongly and bidirectionally linked. This study aims to assess the association between dietary inflammatory index (DII) and sleep duration using the National Health and Nutrition Survey (NHANS) of the United States. Methods A total of 27,999 (median age 47 years, 48.6% male) participants were included. Dietary data were collected using 24-hour recall method and DII was calculated using 27 nutrients. Quantiles of DII were constructed (quantile 1, least inflammatory; quantile 5, most inflammatory). Self-reported habitual sleep duration was categorized as ≤ 6 hr (short sleep), ≥7 hr (normal/long sleep). We used log-binomial and multinomial logistic regression, adjusted for potential confounders, to examine the association between DII and short sleep duration. Sensitivity analysis was performed by excluding common chronic diseases. The analyses were adjusted using NHANES sampling weights. Results In the fully adjusted model, higher DII score was associated with shorter sleep duration [odds ratio (OR)quartile2vs1=1.04; 95% confidence interval (CI): 0.84-1.29; ORquartile3vs1=1.27; 95% CI: 1.06, 1.52; ORquartile4vs1=95% CI: 1.47; 95 CI: 1.25, 1.74; ORquartile5vs1=1.62; 95% CI: 1.33, 1.97; P for trend<0.0001]. A similar trend of association was observed with long sleep duration and in both male and female participants. Participants in the fifth quantile, compared to those in the first, on average had 6 minutes (95% CI: 1, 11) less sleep. Conclusions Pro-inflammatory diet was positively associated with increased odds of short sleep duration. Key messages Patients with short sleep duration may benefit from avoiding pro-inflammatory foods. The association between DII and sleep duration could be bidirectional.

Dietary diversity score correlates with nutrient intake and monetary diet cost among Japanese adults.

Dietary diversity is an indicator of diet quality. Dietary diversity has been suggested to result in good nutrient intake, but it can affect dietary cost. We examined whether dietary diversity correlates with nutrient intake and monetary diet cost. We used data for 3985 individuals (age range: 20-64 years) from the 2014 Japan National Health and Nutrition Survey (NHNS). Dietary diversity was assessed using the food variety score (FVS; the number of foods) and dietary diversity score (DDS; the number of food groups, range: 1-14). Mean energy and nutrient intake from NHNS, and diet cost from the National Retail Price Survey were compared among FVS quartiles using the Kruskal-Wallis test, and between 2 groups with median DDS using the Mann-Whitney U test. Mean (SD) FVS and DDS per day were 22.3 (7.2) and 9.8 (2.0), respectively. For most nutrients, intake per 4184 kJ was relatively high when FVS was high (p<0.001); however, carbohydrate intake was relatively high in the low-FVS group (p<0.001). For all nutrients with significant differences, intake was higher in the group with high DDS (≥10). Monetary diet cost was higher in the high-FVS and DDS groups compared with the low groups (p<0.001). Intake of a variety of food and food groups resulted in higher intake of various nutrients as well as higher monetary diet cost. Additionally, care should be taken to avoid excessive intake of nutrients such as sodium and SFA that may result from diverse diets.

Comparative analysis of screening models for undiagnosed diabetes in Mexico

BackgroundIt is estimated that 37% of Mexican adults have undiagnosed diabetes, and are therefore at high risk of developing the severe and devastating complications associated to it. In recent years, a variety of screening tools based on the characteristics of the adult Mexican population have been proposed in order to reduce the negative effects of the disease. ObjectivesTo assess the performance of screening models to diagnose diabetes in the Mexican adult population and to propose a screening model based on HbA1c measurements. Materials and methodsData from the 2016 Halfway National Health and Nutrition Survey (NHNS) were used to assess the screening models and to develop and validate the proposed 2016 NHNS model, built using a multivariate logistic regression model. Explanatory variables included in the 2016 NHNS 2016 model were selected through a stepwise backward procedure, using sensitivity and specificity as performance indicators. ResultsOf the screening models assessed, only the model based on the 2006 NHNS survey showed a performance consistent with previous reports. The proposed 2016 NHNS model included age, waist circumference, and systolic blood pressure as explanatory variables and showed a sensitivity of 0.72 and a specificity of 0.80 in the validation data set. ConclusionsAge, waist circumference, and systolic blood pressure are variables of special importance for early detection of undiagnosed diabetes in Mexican adults. Based on the consistent performance of the 2006 NHNS model in different data sets, its use as a screening tool for adults with undiagnosed diabetes in Mexico is recommended.

Utility of a Specific Health Checkup Database Containing Lifestyle Behaviors and Lifestyle Diseases for Employee Health Insurance in Japan.

BackgroundThe Japanese Ministry of Health, Labour and Welfare introduced Specific Health Checkups (SHC) to identify individuals at risk of metabolic syndrome (MS). This study aimed to describe the SHC database developed by the Japan Medical Data Center Co., Ltd. (JMDC) as a means of exploring lifestyle behaviors and lifestyle diseases among working generations.MethodsWe conducted a retrospective, cross-sectional study of employees and their families using the JMDC-SHC database to describe the prevalence of lifestyle behaviors (smoking, exercise, dietary habits, drinking habits, and sleeping) and lifestyle diseases (MS, hypertension, dyslipidemia, and diabetes mellitus). Results were compared with data from the 2015 National Health and Nutrition Survey (NHNS) in Japan as a benchmark.ResultsAll 646,869 enrollees in the JMDC-SHC database were included, of whom 66.5% were men. Age ranged from 40–74 years. Compared with the results of the NHNS, the JMDC-SHC subjects were younger and had fewer MS components and a lower prevalence of diabetes and hypertension. Subjects in their 40s were most likely to have unhealthy lifestyle behaviors in all age groups (eg, smoking: 41.0% in men and 10.2% in women). The SHC group had more favorable behaviors overall, but underweight was more prevalent in the SHC females.ConclusionsThe JMDC-SHC population showed different lifestyle and lifestyle disease profiles to the NHNS population, probably due to its different age, gender, and employment distributions. Development of healthcare policies and plans for working generations would benefit from the selection of an age- and employment-appropriate database.

Comparative analysis of screening models for undiagnosed diabetes in Mexico

BackgroundIt is estimated that 37% of Mexican adults have undiagnosed diabetes, and are therefore at high risk of developing the severe and devastating complications associated to it. In recent years, a variety of screening tools based on the characteristics of the adult Mexican population have been proposed in order to reduce the negative effects of the disease. ObjectivesTo assess the performance of screening models to diagnose diabetes in the Mexican adult population and to propose a screening model based on HbA1c measurements. Materials and methodsData from the 2016 Halfway National Health and Nutrition Survey (NHNS) were used to assess the screening models and to develop and validate the proposed 2016 NHNS model, built using a multivariate logistic regression model. Explanatory variables included in the 2016 NHNS 2016 model were selected through a stepwise backward procedure, using sensitivity and specificity as performance indicators. ResultsOf the screening models assessed, only the model based on the 2006 NHNS survey showed a performance consistent with previous reports. The proposed 2016 NHNS model included age, waist circumference, and systolic blood pressure as explanatory variables and showed a sensitivity of 0.72 and a specificity of 0.80 in the validation data set. ConclusionsAge, waist circumference, and systolic blood pressure are variables of special importance for early detection of undiagnosed diabetes in Mexican adults. Based on the consistent performance of the 2006 NHNS model in different data sets, its use as a screening tool for adults with undiagnosed diabetes in Mexico is recommended.

Partial Smoking Ban and Secondhand Smoke Exposure in Japan.

Implementing smoking bans is a worldwide common practice for tobacco control. However, if the policy prohibits smoking partially rather than comprehensively, it may increase nonsmokers’ exposure to secondhand smoke (SHS) in nonprohibited places. This paper investigates how a partial smoking ban affected nonsmokers’ SHS exposure (measured by frequency of having exposure to SHS in days per month) in households, workplaces, and restaurants by examining the case of a partial smoking ban introduced in a large Japanese prefecture in 2013. Using data from the National Health and Nutrition Survey (NHNS) in 2010, 2013, and 2016 (n = 30,244) and the Comprehensive Survey of Living Conditions (CSLC) from 2001 to 2016 (n = 2,366,896), this paper employs a difference-in-differences (DID) approach. We found that the partial smoking ban significantly increased their SHS exposure in households and workplaces by 2.64 days and 4.70 days per month, respectively, while it did not change nonsmokers’ SHS exposure in restaurants. The results imply that the smoking ban displaced smokers from public places to private places. We also found that neither smokers’ smoking status nor smoking intensity changed significantly after implementing the partial smoking ban. Comprehensive smoking bans are needed to better protect nonsmokers from SHS exposure.

Key variable combinations for identifying non-participants in the Japan National Health and Nutrition Survey through record linkage with the Comprehensive Survey of Living Conditions

Objectives The identification of non-participants in the Japan National Health and Nutrition Survey (NHNS) requires record linkage with its master sample from the Comprehensive Survey of Living Conditions (CSLC). In principle, we can merge individual records between the two surveys by using key identifiers including household ID, but false matches and nonmatches can occur. We examined combinations of key variables for improving record linkage to identify nonparticipants in the NHNS.Methods We used individual-level data from the NHNS and the CSLC from 1988 to 2015 (except 2012). We extracted from CSLC data individuals in participating unit blocks in the NHNS to merge records between the two surveys. We used four combinations of key variables: prefecture ID, census enumeration district ID, unit block ID, household ID, and household member ID (A); household member ID in A was replaced with sex and birth year and month or age (B); sex and birth year and month or age were added to A (C); two-stage linkage of B and C (D). We classified a sample of individuals into matched participants, unmatched NHNS participants, and unmatched CSLC participants (a proxy for nonparticipants). We compared the percentages of matched NHNS participants and unmatched CSLC participants across the four combinations of key variables.Results We obtained a sample of 455,854 participants from the CSLC and 335,010 from the NHNS. The percentage of matched NHNS participants was highest in A (the upper 90%), followed by D (the lower 90%), B (the lower 90%), and C (the 80%). Compared to C, the percentage of matched NHNS participants was higher by 8-14 percentage points in A and 5-10 percentage points in B. Compared to B, it was higher by 0.1-0.4 percentage points in D. The percentage of unmatched CSLC participants was highest in C, followed by B, D, and A. The percentage of unmatched CSLC participants increased in D from the 20% level in the late 1980s to around 30% in the 1990s and stayed between the 30% level and the lower 40% level in the 2000s.Conclusion The highest percentage of accurate matches of NHNS participants was obtained by considering changes in household member ID and incorrect entries on sex and birth year/month and age, and same-sex multiple births. However, there are limitations in handling unmatched participants due to changes in household ID or other reasons. It is therefore necessary to consider the possibility of false nonmatches included in unmatched CSLC participants in regarding them as non-participants in the NHNS.

Dietary trends in patients with fecal incontinence compared with the National Health and Nutrition Survey.

Objectives: Dietary guidance for patients with fecal incontinence (FI) in Japan is lacking. Here, we sought to investigate dietary trends of patients with FI. Methods: We performed a comparative study of dietary intake par day between patients with FI and the national mean. Our study group consisted of 100 female patients who consulted a dietitian about meals between June 2015 and March 2017. For national mean values, we used results from 3,332 women included in the 2015 National Health and Nutrition Survey (NHNS). Survey items included dietary fiber (DF), rice, wheat products, vegetables, fruits, and snacks. Results: No significant difference with respect to the overall DF (14.2 and 14.5 g, respectively; P=0.517) and vegetables (277.0 and 282.7 g, respectively; P=0.692) consumption was observed between the intake values reported in patients with FI and in NHNS. The intake of patients with FI was significantly lesser than that reported in NHNS for rice consumption (184.3 and 262.1 g, respectively; P<0.001). The intake of patients with FI was significantly higher than that reported in NHNS for wheat products (116.0 and 97.1 g, respectively; P<0.001), fruits (151.3 and 116.7 g, respectively; P=0.002), and snacks (45.5 and 28.8 g, respectively; P<0.001) consumption. Conclusions: Dietary trends for patients with FI revealed that the intake of rice was less, whereas that of wheat products, fruits, and snacks was much higher. Although the overall DF intake was about the same as the national mean, our results suggest that contents of DF differ between patients with FI and the NHNS.

Dietary patterns and abnormal glucose tolerance among Japanese: findings from the National Health and Nutrition Survey, 2012.

Previous 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. The 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. Japan. The study population comprised 9550 Japanese aged ≥40 years registered in the nationwide NHNS. Three 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 (Ptrend=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; Ptrend=0·007). Our findings suggest that the vegetable pattern is associated with decreased prevalence of elevated HbA1c levels among Japanese.

Association between the Portion Sizes of Traditional Japanese Seasonings-Soy Sauce and Miso-and Blood Pressure: Cross-Sectional Study Using National Health and Nutrition Survey, 2012⁻2016 Data.

While previous studies have reported the association between food portion size and health outcomes, the association between food seasonings and blood pressure (BP) has not been clarified. This study aimed to investigate the association between the portion sizes of traditional Japanese seasonings and BP. Data on 25,738 Japanese participants (10,154 men and 15,584 women) aged ≥20 years registered in the 2012–2016 National Health and Nutrition Survey (NHNS) were used for this cross-sectional study. The portion sizes of soy sauce or miso were calculated from the reported weight of soy sauce or miso, and the number of dishes. Regression models were used to estimate BP and prevalence of hypertension, and their 95% confidence intervals according to the portion size of soy sauce or miso. We did not observe an association between the portion sizes of soy sauce or miso and BP. A larger portion size of soy sauce or miso was associated with a higher prevalence of hypertension in the crude model among women, but no significant associations were observed in the multivariate model in both sexes. Our findings suggest that the portion sizes of soy sauce or miso are not associated with BP among Japanese adults.

Dietary pattern and its association with blood pressure and blood lipid profiles among Japanese adults in the 2012 Japan National Health and Nutrition Survey.

Little is known about the association between dietary patterns and cardiovascular disease risk factors among Japanese adults based on nationally representative data. This study aimed to explore the association between dietary patterns and hypertension or blood lipid profiles among Japanese people. De-identified Japan National Health and Nutrition Survey (NHNS) 2012 data with a total of 8721 subjects (3524 men and 5197 women) aged 40-74 years were used. Dietary patterns were derived by principal component analysis (PCA). Generalized linear models and multivariate logistic regression analysis were used to assess the relationship between dietary patterns and blood pressure or lipid profiles. We identified four dietary patterns: (a) traditional Japanese, (b) bread-dairy, (c) meat-fat, and (d) noodle patterns. Among these, the traditional Japanese pattern was significantly related to lower blood pressure, lower low-density lipoprotein (LDL)-cholesterol in men and lower high-density lipoprotein (HDL)-cholesterol in women. Bread-dairy pattern was associated with high total cholesterol in women and higher LDL cholesterol in both men and women. Noodle pattern was associated with higher total cholesterol and HDL-cholesterol in men. No significant association was observed between meat-fat pattern and blood pressure or lipid profiles. Our study showed that the traditional Japanese pattern with high intake of miso, soy-sauce, vegetables, beans, potatoes and mushroom conferred benefits on blood pressure. Our findings have indicated clearly that it is possible to provide useful information on healthy dietary pattern for health promotion from the one-day dietary records of the NHNS.

Quantities of Phospholipid Molecular Classes in Japanese Meals and Prediction of Their Sources by Multiple Regression Analysis.

Dietary intake of total phospholipids (PLs) accounts for approximately 10% of total dietary lipids. Each PL molecular class has various beneficial effects on health. However, limited information is available regarding the intake of phosphatidylcholine (PC), phosphatidylethanolamine (PE), phosphatidylinositol (PI), phosphatidylserine (PS), lysophosphatidylcholine (LPC) and sphingomyelin (SM) among Japanese people, and the relevant food sources. In this study, we quantified the contents of PC, PE, PI, PS, LPC, and SM in 120 meal samples served in a Japanese company's dormitory and cafeteria. Additionally, we measured the weight of each food group and estimated the contents of nutrients in these meals. Furthermore, we conducted a stepwise multiple regression analysis to identify predictors (food groups) of each PL class intake. The contents of total PL, PC, PE, PI+PS, LPC, and SM (mean value) were 4.44, 2.17, 0.632, 0.123, 0.313, and 0.127 g/d, respectively. These values were considered as daily PL intake in accordance with data (three macronutrients, vitamins, and minerals) from our study and the National Health and Nutrition Survey (NHNS) Japan, 2015. The content of eggs, meat, fish and shellfish, milk, pulses, fruits, mushrooms, cereals, and fats and oils in the meals predicted the PL and PC contents. The content of eggs, pulses, and mushrooms in the meals predicted the PE contents. Our results determined the daily intake of PL molecular classes among Japanese people and the food sources of PC and PE, and suggested that multiple regression analysis is useful for the prediction of food sources of bioactive components.

Macronutrient Intake and Socioeconomic Status: NIPPON DATA2010.

BackgroundThis study examined the relationships among household income, other SES indicators, and macronutrient intake in a cross-sectional study of a representative Japanese population.MethodsIn 2010, we established a cohort of participants in the National Health and Nutrition Survey (NHNS) from 300 randomly selected areas throughout Japan. A total of 2,637 participants (1,145 men and 1,492 women) were included in the study. Data from NHNS2010 and the Comprehensive Survey of Living Conditions 2010 (CSCL2010) were merged, and relationships among macronutrient intake and SES were evaluated. Additionally, socioeconomic factors associated with a risk of a higher carbohydrate/lower fat intake beyond dietary recommendations were evaluated.ResultsHousehold income was positively associated with fat intake (P = 0.001 for men and <0.001 for women) and inversely associated with carbohydrate intake (P = 0.003 for men and <0.001 for women) after adjustments for age and other SES variables. Similar relationships were observed between equivalent household expenditure (EHE) and macronutrient intake; however, these relationships were weaker than those of household income. Older age was the factor most strongly associated with a high carbohydrate/low fat intake, followed by household income, EHE, education levels, and occupation type.ConclusionsOlder age was the factor most strongly associated with a high carbohydrate/low fat intake, and some aspects of SES, such as household income, EHE, education levels, and occupation type, were independently associated with an imbalanced macronutrient intake. SES may affect the health status of individuals through the intake of macronutrients.

Standardisation of the Japanese diet for use in animal experiments.

The aim of this study was to develop a purified diet that mimics the characteristics of the Japanese diet using readily available materials with a simpler composition and a focus on quality, with the goal of facilitating performance of studies on the Japanese diet worldwide. The utility of the new diet was examined as a mimic of the standard Japanese diet for use in animal experiments. We examined whether a key characteristic of the Japanese diet of being less likely to cause obesity could be reproduced. The mimic diet had a balance of protein, fat and carbohydrate based on the 1975 Japanese diet, which is the least likely to cause obesity, and materials chosen with reference to the National Health and Nutrition Survey (NHNS). To examine similarities of the mimic diet with the model 1975 Japanese diet, we created a menu of the 1975 diet based on the NHNS and prepared the freeze-dried and powdered diet. The mimic diet, the 1975 Japanese diet, a control AIN-93G diet and a Western diet were fed to mice for 4 weeks. As a result, the mimic diet and the 1975 diet resulted in less accumulation of visceral fat and liver fat. Mice given these two diets showed similar effects. This indicates that the mimic diet used in this study has characteristics of the 1975 Japanese diet and could be used as a standard Japanese diet in animal experiments.

Food intake patterns and cardiovascular risk factors in Japanese adults: analyses from the 2012 National Health and nutrition survey, Japan

BackgroundThere is an increasing global interest in the role of Japanese diet as a possible explanation for the nation’s healthy diet, which contributes to the world’s highest life-expectancy enjoyed in Japan. However, nationwide studies on current food intake status among general Japanese population have not been established yet. This study examined the association between food intake patterns and cardiovascular risk factors (CVRF) such as waist circumference (WC), body mass index (BMI), blood pressure (SBP, DBP), HbA1c and blood lipid profiles among general Japanese adults.MethodsDe-identified data on the Japan National Health and Nutrition Survey (NHNS) 2012 with a total of 11,365 subjects aged 20–84 years were applied. Food intake patterns were derived by principal component analysis (PCA) based on 98 food groups. Generalized linear regression analysis was used to assess the relation between the food intake patterns and CVRF.ResultsWe identified three food intake patterns: traditional Japanese, Westernized, and meat and fat patterns. Traditional Japanese pattern was significantly related to high WC and BMI in men, and high DBP in women. Westernized pattern was associated with lower SBP, but high total cholesterol and LDL cholesterol in both men and women. Meat and fat pattern was associated with high WC, high BMI, high blood pressure and blood lipid profiles in both men and women (trend P < 0.001).ConclusionThe significant association between cardiovascular disease risks and three food intake patterns derived from the NHNS, showed a similar tendency to other dietary survey methods.

A cross-sectional study of the association between city scale and daily steps in Japan: Data from the National Health and Nutrition Survey Japan (NHNS-J) 2006-2010.

Objective There is little evidence showing that inhabitants of urban areas engage in more physical activity than do rural ones, although accumulating evidence concerning the best neighborhood environments conducive to physical activity supports the idea. This study sought to fill the research gap by examining the association between city scale and daily steps using data from Japan's National Health and Nutrition Survey (NHNS).Methods We analyzed data from 15,763 men and 18,479 women aged 20 years and older who participated in a one-day pedometer measurement during any part of the NHNS between 2006 and 2010. The data obtained for these years were combined into a single data set. City scale was categorized into 5 groups based on population: 1) 12 large cities and 23 wards, 2) population greater than 150,000, 3) population 50,000-150,000, 4) population less than 50,000, and 5) towns and villages. Differences in daily steps among city scale groups were analyzed using an ANCOVA, adjusting for age by gender. The Bonferroni method was employed for multiple comparisons, and linear regression was used to test for linear trends. Subgroup analyses were performed by age (20-39, 40-64, older than 64), and job status. The study was approved by the Tokyo Medical University ethics committee, and use of these data complied with the Statistics Act of Japan.Results The steps per day for men after adjusting for age were Group 1 : 7,494±4,429 (mean±SD), Group 2 : 7,407±4,428, Group 3 : 7,206±4,428, Group 4 : 6,911±4,428, and Group 5 : 6,715±4,429. Women's daily steps according to city scale group were 6,767±3,648, 6,386±3,647, 6,062±3,646, 6,069±3,649, and 6,070±3,649 for Groups 1 through 5, respectively. There were overall statistically significant differences (ANCOVA, P<0.001) between both genders. The larger the city scale, the more mean daily steps that were taken by both men and women (P values for both trends <0.001). Subgroup analyses revealed significant differences in the mean daily steps by city scale, regardless of age or job status for both genders. There were no significant differences among Groups 3, 4, or 5 among unemployed men, men older than 64, or overall women, which differed from the results for men with jobs, who took fewer steps in smaller cities.Conclusions Our study showed that men and women living in larger cities took more steps compared to those living in smaller cities. Subgroup analyses further revealed that the associations between city scale and physical activity differed according to gender, age, and job status.