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The association between screen time (ST) , including that for smartphones, and overweight/obesity (OW/OB) in children was examined separately for boys and girls, considering the influence of lifestyle factors including diet, physical activity, and sleep time. A cross-sectional study was conducted in 2242 Japanese children (1278 girls) aged 10-14 years. OW/OB was defined by the International Obesity Task Force. Logistic regression analysis showed that only for girls, total ST (≥4h) , smartphone ST (≥3h) and non-smartphone ST (≥2h) were all independently and significantly associated with overweight/obesity compared to In Japanese girls, smartphone ST, non-smartphone ST, and total ST were all significantly associated with OW/OB. To avoid OW/OB, it is suggested to keep smartphone ST, non-smartphone ST, and total ST to Disclosure K. Fujihara: None. S.Y. Morikawa: None. H. Ishiguro: None. M.H. Yamada: None. C. Horikawa: None. Y. Ogawa: None. H. Sone: Research Support; Astellas Pharma Inc., Eisai Co., Ltd., Kyowa Kirin Co., Ltd., Novo Nordisk, Ono Pharmaceutical Co., Ltd., Taisho Pharmaceutical Holdings Co., Ltd., Takeda Pharmaceutical Company Limited.

Introduction The combined effects of energy intake (EI) and physical activity (PA) on obesity have been poorly investigated. We have investigated the combined effects of EI and PA quantitatively in Japanese men and women with type 2 diabetes. Methods Data on 1395 patients with type 2 diabetes who attended 25 diabetes clinics located throughout Japan, obtained by questionnaire, were analyzed. A logistic regression model was used to calculate the odds ratio for obesity. Results Multi-adjusted odds ratios for the top versus the bottom tertile of EI and the bottom versus the top tertile of PA were 1.39 (95% confidence interval [CI] 1.02–1.89) and 1.64 (95% CI 1.22–2.22), respectively. The combination of EI (kcal/day) ≥ 1967 and PA (metabolic equivalents [METs] h/week) ≤ 9.9 for men and of EI ≥ 1815 and PA ≤ 8.3 for women were significantly associated with obesity. Conclusions The existence of “allowable maximum EI” and “required minimum PA” that is significantly associated with “not being obese” is implied, suggesting the need for lifestyle education for Japanese patients with type 2 diabetes. Electronic Supplementary Material The online version of this article (10.1007/s13300-019-0610-x) contains supplementary material, which is available to authorized users.

The aim of this study was to investigate the association between habitual dietary intake for patients with diabetes and the content of family support for medical nutritional therapy (MNT). Analyzed were 289 Japanese with type 2 diabetes (men, 58.5%, mean age, 62.0 years, mean HbA1c, 53.4 mmol/mol) who completed the Food Frequency Questionnaire and Diabetes Family Behavior Checklist (DFBC). Relationships of mean values for food group intake to DFBC responses regarding MNT were examined using multivariate analysis of covariance. Positive response to &ldquo, Praise for following diet&rdquo, was associated with lower sweets intake (none: 60.1 g/day, &ge, once monthly: 50.9 g/day, p = 0.038) and higher seasoning intake (none: 21.6 g/day, &ge, once monthly: 24.1 g/day, p = 0.046). Energy intake was higher with positive responses to &ldquo, Eat at the same time that you do&rdquo, (none: 1636 kcal/day, &ge, once monthly: 1818 kcal/day, p = 0.038). &ldquo, Nags about not following diet&rdquo, was associated with higher fish (none: 68.7 g/day, &ge, once monthly: 78.7 g/day, p = 0.042) and salt intake (none: 8.3 g/day, &ge, once monthly: 9.0 g/day, p = 0.014). Eating foods not part of the diabetic diet (none: 218.4 g/day, &ge, once monthly: 246.9 g/day, p = 0.014) resulted in a higher vegetable intake. In females, significant differences in relationships in the overall analysis were reversed. Our results clarified relationships between types of family support of patients with type 2 diabetes and their dietary intake and the importance of sex differences for more effective MNT.

Although cardiorespiratory fitness (CRF) and muscular fitness (MF) are modifiable factors for metabolic risk, the role of weight status in these factors has not been clarified in the pediatric population. We examined associations between metabolic indices and CRF or MF according to weight categories and compared the prevalence of metabolic abnormalities among four groups stratified by combinations of PF and weight categories. Cross-sectionally analyzed were 1744 Japanese adolescents aged 13-14 years. The PF test included measurements of CRF (20-m shuttle run test), upper-limb strength (handgrip test), lower limb strength (standing long jump test), and muscular endurance (sit-ups). Participants were classified as non-overweight (non-OW) or overweight/obese (OW) according to BMI cutoffs by the International Obesity Task Force. Metabolic risk was defined as ≥1 SD of the clustered metabolic risk (estimated by summing standardized sex-specific Z scores of HbA1c, MAP, and non-HDL-C). After adjusting for BMI and other characteristics, linear regression analysis showed that non-HDL-C was inversely associated with CRF in the non-OW group (P In summary, relationships of metabolic risk with components of PF differed according to weight status. In OW adolescents, MF might be more useful for stratifying metabolic risk than CRF. Disclosure S.Y. Morikawa: None. K. Fujihara: None. R. Nedachi: None. I. Ikeda: None. Y. Takeda: None. M. Takeuchi: None. M. Hatta: None. H. Ishiguro: None. T. Yamada: None. H. Sone: Research Support; Self; Kyowa Hakko Kirin Co., Ltd., Novartis AG, Ono Pharmaceutical Co., Ltd., Taisho Pharmaceutical Co., Ltd., Takeda Pharmaceutical Co.

An increase in screen time (ST) is reportedly associated with insulin resistance and obesity in children. However, most studies are of TV viewing but not smartphone use. Also, little is known of the relationship between ST and diet. In this study, we clarified the relationships among ST including smartphone use, lifestyle factors including dietary content, and obesity. Cross-sectionally analyzed were 1393 children between 11-15 years of age. ST (min/day) was classified into 4 groups: In conclusion, the increase in ST including smartphone usage was suggested to be associated with various unfavorable lifestyles including dietary habits that could be connected to obesity. Disclosure I. Ikeda: None. K. Fujihara: None. R. Nedachi: None. S.Y. Morikawa: None. H. Ishiguro: None. M.H. Yamada: None. Y. Matsubayashi: None. T. Yamada: None. H. Sone: Research Support; Self; Kyowa Hakko Kirin Co., Ltd., Novartis AG, Ono Pharmaceutical Co., Ltd., Taisho Pharmaceutical Co., Ltd., Takeda Pharmaceutical Co.

Although both average BMI and foods vary greatly between Asian and Western countries, few studies have examined the relationship between dietary patterns and obesity in Asians. We investigated dietary patterns significantly associated with obesity in Japanese with diabetes. Cross-sectionally analyzed were 2070 Japanese with type 2 diabetes (mean age, 62 y; men, 62%) who completed the Food Frequency Questionnaire. Principal component analysis was performed on 20 food groups to elucidate dietary patterns significantly associated with obesity. We also divided participants into quintiles according to factor scores of each dietary pattern. The adjusted odds ratios (ORs) for obesity, defined as BMI ≥25 according to the Asian cutoff, were calculated with other covariates including energy intake. Six dietary patterns were determined from eigenvalues (≥1) and screen plots. For Factor 1, characterized by a well-balanced food group with high intake of light-colored vegetables, green and yellow vegetables, sugar, seaweed, beans, fish and seafood, fruit and potato, the OR for obesity in Quintile5 compared to Quintile1 was 0.34 (95% CI: 0.22-0.53). Conversely, that of Factor 2, characterized by high intake of seasoning and spices, sugar-sweetened beverages, rice and eggs, was 2.56 (1.69-3.89) (Table). In conclusion, a balanced diet with various food groups might help to avoid obesity in Japanese with type 2 diabetes. Disclosure M. Hatta: None. K. Fujihara: None. I. Ikeda: None. M. Takeuchi: None. R. Nedachi: None. S.Y. Morikawa: None. C. Horikawa: None. M. Kato: None. N. Kato: None. H. Maegawa: Speaker’s Bureau; Self; Astellas Pharma Inc., Boehringer Ingelheim Pharmaceuticals, Inc., Daiichi Sankyo, Merck Sharp & Dohme Corp., Mitsubishi Tanabe Pharma Corporation, Sanofi K.K., Takeda Pharmaceutical Company Limited. H. Sone: Research Support; Self; Kyowa Hakko Kirin Co., Ltd., Novartis AG, Ono Pharmaceutical Co., Ltd., Taisho Pharmaceutical Co., Ltd., Takeda Pharmaceutical Co.

Background: In order to provide effective dietary guidance, it is necessary to consider dietary intake, which can change over time. This study analyzed changes in the diet of Japanese patients with type 2 diabetes over a 20-year period. Methods: We compared the results of two dietary surveys that used the food frequency questionnaire format. The first was conducted in 1996 by the Japan Diabetes Complications Study (JDCS) (n = 1509; males 53.3%), and the second in 2014–2018 by the Japan Diabetes Clinical Data Management Study (JDDM) (n = 1145; males 65.6%). Both are nationwide representative registries of outpatients with type 2 diabetes in Japan. Results: Over a 20-year period, both men and women with type 2 diabetes had a significant increase in body mass index (BMI). Nonetheless, there was only a small change in energy intake. Conversely, there was a significant increase in fat intake and thus in the fat-to-energy ratio. With regard to food groups, there was a significant increase in meat intake and a decrease in the intake of fish, soybeans/soy products, vegetables, and fruits, with a particularly significant decrease in vegetables. Conclusions: Even in Japan, an industrialized country with a stable socioeconomic environment, there were many significant changes in the dietary intake of patients with type 2 diabetes over the 20-year period.

To investigate the association between dietary energy density (DED) and obesity in people with type 2 diabetes mellitus. Moreover, we compared the strength of the associations of DED with intake of energy and macronutrients in terms of obesity as well as nutritional factors that have long been used for medical nutritional therapy. Cross-sectionally investigated were 1615 outpatients with type 2 diabetes who attended 26 clinics nationwide with diabetes specialists. Odds ratios (ORs) were calculated for the association between obesity and DED, energy, and macronutrients by quintile categories and a 1 SD increment with adjustment for potential confounders. β coefficients were calculated for the association between body mass index (BMI) and each nutritional factor by 1 SD increments in nutritional values. Multi-adjusted OR for obesity between extreme quintiles of DED was 2.99 (95% confidence interval (95% CI): 2.01–3.12). Conversely, the ORs did not differ significantly according to the quintiles of other nutrient factors. Multi-adjusted β coefficient of BMI per 1 SD according to DED was far higher than those of other nutrient factors (β coefficient 0.65, 95% CI: 0.41–0.88). These findings indicated that DED in persons with type 2 diabetes was positively associated with BMI and the prevalence of obesity. DED was also much more potently associated with obesity and BMI than nutritional indicators such as intake of energy or macronutrients.

Pediatric obesity is associated with clustered cardiometabolic risk and the future incidence of diabetes. However, few studies have determined the effect of pediatric obesity in Asia, where obesity is less common than in Western countries. Thus, we clarified whether metabolic risk factors are associated with weight status including slight overweight and underweight among Japanese adolescents. We performed a cross-sectional analysis of 2241 Japanese adolescents (1180 boys) aged 13-14 years whose height, weight, HbA1c, blood pressure (BP), and serum lipids were measured. Participants were classified as underweight, normal weight, slightly overweight, overweight, or obese according to both the universal and Asian cutoffs of the International Obesity Task Force, which correspond to adult BMI cutoffs. The clustered cardiometabolic risk (Z-CMR) was estimated by summing standardized sex-specific Z scores of HbA1c, mean arterial pressure (MAP), and non-high-density lipoprotein cholesterol (non-HDL-C). Linear regression analysis showed that MAP (sex-specific Z score), non-HDL-C (sex-specific Z score), and Z-CMR were higher in the slightly overweight, overweight, and obese groups than in the normal weight group after adjusting for confounders. Compared with the normal weight group, the slightly overweight, overweight, and obese groups had significantly higher odds ratios (ORs) for high BP [OR = 1.38 (95% CI, 1.03-1.85); OR = 2.63 (1.77-3.91); and OR = 2.39 (1.57-3.64), respectively]. Compared with the normal weight group, underweight boys, but not girls, had a significantly lower OR for high Z-CMR [OR = 0.20 (0.05-0.84)]. Our results indicated that adolescents classified as slightly overweight had higher levels of BP, serum lipids (but not HbA1c), and clustered cardiometabolic risk than those classified as normal weight. This observation demonstrated that significant associations between weight status and cardiometabolic risk factors could be seen during adolescence even in East Asia. Disclosure S.Y. Morikawa: None. K. Fujihara: None. D. Ishii: None. R. Nedachi: None. M. Ishizawa: None. H. Ishiguro: None. Y. Matsubayashi: None. T. Yamada: None. S. Kodama: None. H. Sone: Research Support; Self; Astellas Pharma Inc., Boehringer Ingelheim Pharmaceuticals, Inc., Daiichi Sankyo Company, Limited, Kowa Pharmaceutical Europe Co. Ltd., Kyowa Hakko Kirin Co., Ltd., Novo Nordisk Inc., Ono Pharmaceutical Co., Ltd., Taisho Pharmaceutical Co., Ltd., Takeda Pharmaceutical Company Limited, Teijin Pharma Limited.

Dietary energy density (DED) is receiving increased attention reflecting recent reports of inverse associations with health outcomes. Although high DED meals are reportedly associated with low diet quality in the general population, such evidence in patients with diabetes is sparse, which led us clarify this issue in Japanese patients with T2DM. Analyzed were 1,615 outpatients with T2DM (men 62.2%) who attended 24 clinics specializing in diabetes care nationwide. Dietary habits were obtained using a food frequency questionnaire (FFQg) based on 18 food groups. DED (kcal/g) was calculated by dividing EI (kcal) from foods (excluding beverages) by weights of these foods (g). Mean DED (±SD) was 1.53±0.23 (kcal/g). Typical dietary patterns comprised of some significant food groups were extracted by principal component analysis. Pearson's correlation analysis was used to evaluate the associations between identified food patterns and DED. We could extract and validate three dietary patterns, which we labeled as “Healthy,” “Western,” and “Animal foods and confectionery.” Two patterns were significantly correlated with DED (Healthy: r=-0.48, Animal foods and confectionery: r=-0.69). A multivariate linear regression model was used to determine food groups that were independently related to DED. DED was positively associated with confectioneries (standardized β=0.19, P In conclusion, lower DED, which is related to higher intakes of vegetables and fruits was associated with a healthy diet pattern in T2DM patients. DED is a useful indicator of diet quality and could be utilized in nutritional education for people with T2DM. Disclosure Y. Takeda: None. K. Fujihara: None. M. Hatta: None. S.Y. Morikawa: None. C. Horikawa: None. D. Ishii: None. R. Nedachi: None. H. Maegawa: Research Support; Self; Antares Pharma, Boehringer Ingelheim Pharmaceuticals, Inc., Daiichi Sankyo Company, Limited, Mitsubishi Tanabe Pharma Corporation, Takeda Pharmaceutical Company Limited. Speaker's Bureau; Self; Astellas Pharma Inc., Boehringer Ingelheim Pharmaceuticals, Inc., Daiichi Sankyo Company, Limited, Merck Sharp & Dohme Corp., Mitsubishi Tanabe Pharma Corporation, Takeda Pharmaceutical Company Limited. H. Sone: Research Support; Self; Astellas Pharma Inc., Boehringer Ingelheim Pharmaceuticals, Inc., Daiichi Sankyo Company, Limited, Kowa Pharmaceutical Europe Co. Ltd., Kyowa Hakko Kirin Co., Ltd., Novo Nordisk Inc., Ono Pharmaceutical Co., Ltd., Taisho Pharmaceutical Co., Ltd., Takeda Pharmaceutical Company Limited, Teijin Pharma Limited.

Diabetes self-management is an essential part of diabetes care. Although several personality traits were reportedly associated with self-management behaviors or glycemic control in Western countries, clinical evidence of such an association is still sparse, especially among Asian patients with diabetes. Thus, we aimed to clarify the associations among personality, self-management behaviors, and glycemic control in Japanese patients with T2DM. Analyzed were 510 Japanese patients with T2DM (62.2 ± 11.2 y; 57% men) with available information on personality (assessed by NEO Five-Factor Inventory), diabetes self-management activities (assessed by the Japanese version of Summary of Diabetes Self-Care Activities), body mass index (BMI), and HbA1c. Coefficient of correlation indicated that those with high scores for neuroticism, as well as low scores for conscientiousness, had lower levels of diet (neuroticism r = -0.14, P Disclosure S.Y. Morikawa: None. K. Fujihara: None. M. Hatta: None. Y. Takeda: None. D. Ishii: None. J. Yachida: None. C. Horikawa: None. M. Kato: None. H. Maegawa: Research Support; Self; Antares Pharma, Boehringer Ingelheim Pharmaceuticals, Inc., Daiichi Sankyo Company, Limited, Mitsubishi Tanabe Pharma Corporation, Takeda Pharmaceutical Company Limited. Speaker's Bureau; Self; Astellas Pharma Inc., Boehringer Ingelheim Pharmaceuticals, Inc., Daiichi Sankyo Company, Limited, Merck Sharp & Dohme Corp., Mitsubishi Tanabe Pharma Corporation, Takeda Pharmaceutical Company Limited. H. Sone: Research Support; Self; Astellas Pharma Inc., Boehringer Ingelheim Pharmaceuticals, Inc., Daiichi Sankyo Company, Limited, Kowa Pharmaceutical Europe Co. Ltd., Kyowa Hakko Kirin Co., Ltd., Novo Nordisk Inc., Ono Pharmaceutical Co., Ltd., Taisho Pharmaceutical Co., Ltd., Takeda Pharmaceutical Company Limited, Teijin Pharma Limited.

Although support from patients’ family members is essential in managing type 2 diabetes, evidence is sparse on family support for medical nutritional therapy (MNT) and habitual dietary intake. This study investigated the association between patients’ perception of family support for MNT and their dietary intake. Analyzed were 154 Japanese patients with type 2 diabetes (men, 45.5%) who completed the Food Frequency Questionnaire and Diabetes Family Behavior Checklist. Multivariate analysis of covariance was used adjusting for age, gender, BMI, duration for diabetes, HbA1c, and use of oral hypoglycemic agents and/or insulin. Participants’ mean age, duration of diabetes and HbA1c were 63.5 y, 12.7 y and 7.0%, respectively. After adjusting for confounders, positive family support, i.e., ‘Praise for following diet,’ was only significantly associated with higher fish intake (none 72.0 g/d, once a month 73.1 g/d, once a week 85.8 g/d, several times a week 97.6 g/d, and at least daily 92.1 g/d; trend p= 0.008). With greater frequency of eating at the same time as the family, salt intake was significantly higher (none 7.8 g/d, once a month 8.3 g/d, once a week 8.7 g/d, several times a week 9.3 g/d, and at least once daily 8.8 g/d; trend p= 0.037). Conversely, negative family support indicated by ‘Nags about following the diet’ was significantly associated with higher fish intake (none 70.3 g/d, once a month 84.4 g/d, once a week 84.3 g/d, several times a week 86.5 g/d, at least once daily 107.9 g/d; trend p= 0.012) and higher intake of vegetables was more frequent in those eating foods not part of the diabetic diet (none 242.1 g/d, once a month 192.1 g/d, once a week 270.4 g/d, several times a week 255.0 g/d, at least once daily 305.5 g/d; trend p= 0.027). These findings implied that patients’ perception of family support for MNT was not always associated with an ideal dietary intake to control diabetes. To facilitate diabetes treatment, sharing patient-family perceptions of MNT could be important. Disclosure C. Horikawa: None. Y. Takeda: None. M. Hatta: None. D. Ishii: None. S.Y. Morikawa: None. K. Fujihara: None. H. Maegawa: Research Support; Self; Antares Pharma, Boehringer Ingelheim Pharmaceuticals, Inc., Daiichi Sankyo Company, Limited, Mitsubishi Tanabe Pharma Corporation, Takeda Pharmaceutical Company Limited. Speaker's Bureau; Self; Astellas Pharma Inc., Boehringer Ingelheim Pharmaceuticals, Inc., Daiichi Sankyo Company, Limited, Merck Sharp & Dohme Corp., Mitsubishi Tanabe Pharma Corporation, Takeda Pharmaceutical Company Limited. H. Sone: Research Support; Self; Astellas Pharma Inc., Boehringer Ingelheim Pharmaceuticals, Inc., Daiichi Sankyo Company, Limited, Kowa Pharmaceutical Europe Co. Ltd., Kyowa Hakko Kirin Co., Ltd., Novo Nordisk Inc., Ono Pharmaceutical Co., Ltd., Taisho Pharmaceutical Co., Ltd., Takeda Pharmaceutical Company Limited, Teijin Pharma Limited. Funding Japan Association for Diabetes Education and Care

Although obesity is closely associated with development and progression of type 2 diabetes mellitus (T2DM) and its complications, food group intake associated with obesity in diabetic patients has been very poorly investigated to date largely due to lack of large-scale databases with details on dietary intake. Thus, we aimed to determine intake of food groups by utilizing our nationwide database for people with diabetes with adjustment for confounders including energy intake. Analyzed were 1891 Japanese patients with T2DM (mean age, 62 y; men, 62%) who completed the Food Frequency Questionnaire. Obesity was defined by BMI>25. The associations between obesity and food groups were determined by multivariate quartile analysis. Among 15 food groups, both green and yellow and light-colored vegetables had significant negative associations with the presence of obesity among both men and women (Table). In addition, fruit and beans in men and fish in women were also negatively associated with obesity. Conversely, confectionery had positive associations with obesity in both men and women. Other food groups such as rice, meat or eggs did not show significant trends toward the presence of obesity. These results identified favorable dietary patterns for people with T2DM, which could be used for effective nutritional education to prevent obesity. Disclosure M. Hatta: None. K. Fujihara: None. Y. Takeda: None. R. Nedachi: None. D. Ishii: None. S.Y. Morikawa: None. C. Horikawa: None. M. Kato: None. H. Maegawa: Research Support; Self; Antares Pharma, Boehringer Ingelheim Pharmaceuticals, Inc., Daiichi Sankyo Company, Limited, Mitsubishi Tanabe Pharma Corporation, Takeda Pharmaceutical Company Limited. Speaker's Bureau; Self; Astellas Pharma Inc., Boehringer Ingelheim Pharmaceuticals, Inc., Daiichi Sankyo Company, Limited, Merck Sharp & Dohme Corp., Mitsubishi Tanabe Pharma Corporation, Takeda Pharmaceutical Company Limited. H. Sone: Research Support; Self; Astellas Pharma Inc., Boehringer Ingelheim Pharmaceuticals, Inc., Daiichi Sankyo Company, Limited, Kowa Pharmaceutical Europe Co. Ltd., Kyowa Hakko Kirin Co., Ltd., Novo Nordisk Inc., Ono Pharmaceutical Co., Ltd., Taisho Pharmaceutical Co., Ltd., Takeda Pharmaceutical Company Limited, Teijin Pharma Limited.

Background Efficacy of programs for patients with diabetes mellitus (DM) that have promoted family members to help with patients’ self-care activities has been largely inconsistent. This meta-analysis aims to assess the effect of family-oriented diabetes programs for glycemic control (GC). Methods Electronic literature searches were conducted for clinical trials with a parallel design wherein there were two groups according to whether family members were included (intervention group) or not included (control group) and changes in glycohemoglobin A1C (A1C) were assessed as a study outcome. Each effect size (i.e. difference in A1C change between the intervention and control group) was pooled with a random-effects model. Results There were 31 eligible trials consisting of 1466 and 1415 patients in the intervention and control groups, respectively. Pooled A1C change [95% confidence interval (CI)] was −0.45% (−0.64% to −0.26%). Limiting analyses to 21 trials targeted at patients with type 1 DM or 9 trials targeted at patients with type 2 DM, the pooled A1C changes (95% CI) were −0.35% (−0.55% to −0.14%) and −0.71% (−1.09% to −0.33%), respectively. Conclusion This meta-analysis suggests that focusing on the family as well as the individual patient in self-management diabetes programs to improve the performance of self-care activities of patients with DM is effective in terms of proper GC.

DED, defined as the ratio of energy intake (EI) to food weight, is receiving increased attention reflecting recent reports of its associations with elevated risks for obesity and T2DM in general populations. However, only a few studies have investigated the associations between DED and metabolic variables in patients with established diabetes, which led us to analyze the association between DED and obesity in Japanese patients with T2DM. Cross-sectionally investigated were 1,576 outpatients with T2DM (men 60.8%) who attended 26 clinics having diabetes specialists. Dietary habits were obtained by the Food Frequency Questionnaire based on food groups (FFQg). DED (kcal/g) was calculated by dividing EI (kcal) from foods (excluding beverages) by these food weights (g) and was categorized into tertiles (low (L), In conclusion, higher DED, which is related to higher fat intake, was strongly associated with a greater chance of having obesity in T2DM patients regardless of EI. Therefore, DED is critical in assessing diet quality and has clinical relevance in obesity management of patients with T2DM. Disclosure Y. Takeda: None. K. Fujihara: None. S.Y. Morikawa: None. C. Horikawa: None. M. Hatta: None. D. Ishii: None. R. Hirasawa: None. Y. Yachi: None. H. Sone: Research Support; Self; Novo Nordisk Inc., Eli Lilly and Company, MSD K.K., Chugai Pharmaceutical Co., Ltd., Taisho Pharmaceutical Co., Ltd., Takeda Development Center Asia, Pte. Ltd., Daiichi Sankyo Company, Limited, Ono Pharmaceutical Co., Ltd., Kyowa Hakko Kirin Co., Ltd., Sanofi, Kowa Pharmaceuticals America, Inc., Eisai Inc..

OBJECTIVE To examine the independent and combined associations of cardiorespiratory fitness (CRF) and muscular fitness (MF) with cardiometabolic risk factors in Japanese adolescents. METHODS A cross-sectional study including 993 Japanese adolescents (aged 13-14 years) was undertaken. Height, body mass, blood pressure, lipid profile (non-fasting), and HbA1c were measured. The physical fitness (PF) test included measurements of CRF (20 m multistage shuttle run test), upper limb strength (hand grip strength), lower limb strength (standing long jump), and muscular endurance (sit-ups). The clustered cardiometabolic risk (CCMR) was estimated by summing standardized Z-scores of body mass index (BMI), mean arterial pressure (MAP), non-high-density lipoprotein cholesterol (non-HDL-C), and HbA1c. RESULTS Linear regression analysis showed that all PF factors except for muscular endurance were inversely correlated with CCMR (P