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1.
J Sports Sci ; 41(13): 1279-1289, 2023 Sep.
Artículo en Inglés | MEDLINE | ID: mdl-37881015

RESUMEN

Aim was to examine associations among metabolic health, weight status, and various physical fitness (PF) components in 1744 Japanese adolescents aged 13-14. Anthropometric measurements and PF tests (20 m shuttle run test [20mSRT], handgrip strength/body mass [HG], standing long jump [SLJ], and sit ups [SU]) were administered. The bottom sex-specific quintile of PF indicated "low fit". Participants were classified as non-overweight (non-OW) or overweight/obese (OW) according to the International Obesity Task Force. Clustered metabolic risk was defined as the sum of Z scores for mean arterial pressure, non-high-density lipoprotein cholesterol, and HbA1c, divided by three, and ≥ 1 SD. Combination of weight status and scores for HG or SU were additively associated with clustered metabolic risk. Compared with the non-OW-moderate-high fit group, the OW-low HG group was 3.05 (95%CI: 1.88-4.97) times more likely to have clustered metabolic risk although risk was not significantly elevated in the OW-moderate-high HG group (1.52 [95%CI: 0.88-2.62]). A similar association was observed between OW and low SU scores but not between OW and low 20mSRT or SLJ scores. Adolescents with OW and moderate-high HG or SU scores had a lower prevalence of an unfavourable metabolic state than those with OW and low HG or SU results.


Asunto(s)
Pueblos del Este de Asia , Fuerza de la Mano , Aptitud Física , Adolescente , Femenino , Humanos , Masculino , Índice de Masa Corporal , Estudios Transversales , Obesidad , Sobrepeso/epidemiología
2.
Nutrients ; 13(9)2021 Sep 11.
Artículo en Inglés | MEDLINE | ID: mdl-34579047

RESUMEN

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. ß 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 ß coefficient of BMI per 1 SD according to DED was far higher than those of other nutrient factors (ß 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.


Asunto(s)
Diabetes Mellitus Tipo 2/fisiopatología , Ingestión de Alimentos , Ingestión de Energía , Valor Nutritivo , Obesidad/fisiopatología , Anciano , Índice de Masa Corporal , Estudios Transversales , Diabetes Mellitus Tipo 2/complicaciones , Dieta/efectos adversos , Femenino , Humanos , Masculino , Persona de Mediana Edad , Nutrientes/análisis , Obesidad/complicaciones , Obesidad/epidemiología , Oportunidad Relativa , Prevalencia
3.
Asia Pac J Clin Nutr ; 29(4): 856-866, 2020.
Artículo en Inglés | MEDLINE | ID: mdl-33377381

RESUMEN

BACKGROUND AND OBJECTIVES: Pediatric obesity is associated with clustered cardiometabolic risk and the future incidence of cardiovascular disease. However, few studies have determined the effect of pediatric obesity in Asia, where obesity is less common than in Western countries. We aimed to clarify whether weight status including underweight and slightly overweight is associated with metabolic risk factors in Japanese adolescents. METHODS AND STUDY DESIGN: We performed a cross-sectional analysis of 2241 adolescents aged 13-14 years. Participants were classified as underweight, normal weight, slightly overweight, overweight, or obese according to the International Obesity Task Force. The clustered cardiometabolic risk (Z-CMR) was estimated by summing standardized sex-specific Z scores of mean arterial pressure (MAP), non-high-density lipoprotein cholesterol (non-HDLC), and HbA1c. RESULTS: Linear regression analysis showed that MAP, non-HDL-C, 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 higher prevalence of high BP [odds ratios (ORs): 1.38 (95% CI, 1.03, 1.85); 2.63 (1.77, 3.91); and 2.39 (1.57, 3.64), respectively]. Compared with the normal weight group, underweight boys, but not girls, had a lower prevalence of high Z-CMR [OR=0.20 (0.05, 0.84)]. CONCLUSIONS: Adolescents classified as slightly overweight had higher levels of BP, serum lipids, and clustered cardiometabolic risk than those classified as normal weight. This observation showed significant associations between weight status and cardiometabolic risk factors during adolescence even in East Asians.


Asunto(s)
Enfermedades Cardiovasculares , Obesidad Infantil , Adolescente , Índice de Masa Corporal , Enfermedades Cardiovasculares/epidemiología , Niño , Estudios Transversales , Femenino , Humanos , Japón/epidemiología , Masculino , Sobrepeso/epidemiología , Obesidad Infantil/epidemiología , Factores de Riesgo
4.
Nutrients ; 12(9)2020 Aug 31.
Artículo en Inglés | MEDLINE | ID: mdl-32878090

RESUMEN

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 "Praise for following diet" was associated with lower sweets intake (none: 60.1 g/day; ≥once monthly: 50.9 g/day, p = 0.038) and higher seasoning intake (none: 21.6 g/day, ≥once monthly: 24.1 g/day, p = 0.046). Energy intake was higher with positive responses to "Eat at the same time that you do" (none: 1636 kcal/day, ≥once monthly: 1818 kcal/day, p = 0.038). "Nags about not following diet" was associated with higher fish (none: 68.7 g/day, ≥once monthly: 78.7 g/day, p = 0.042) and salt intake (none: 8.3 g/day, ≥once monthly: 9.0 g/day, p = 0.014). Eating foods not part of the diabetic diet (none: 218.4 g/day, ≥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.


Asunto(s)
Pueblo Asiatico , Diabetes Mellitus Tipo 2/dietoterapia , Diabetes Mellitus Tipo 2/epidemiología , Dietoterapia , Dieta para Diabéticos , Anciano , Conducta de Elección , Estudios Transversales , Carbohidratos de la Dieta/administración & dosificación , Grasas de la Dieta/administración & dosificación , Proteínas en la Dieta/administración & dosificación , Femenino , Preferencias Alimentarias , Conductas Relacionadas con la Salud , Conocimientos, Actitudes y Práctica en Salud , Humanos , Japón , Masculino , Persona de Mediana Edad , Análisis Multivariante , Análisis de Regresión , Encuestas y Cuestionarios
5.
Diabetes Ther ; 10(3): 1133-1138, 2019 Jun.
Artículo en Inglés | MEDLINE | ID: mdl-30945130

RESUMEN

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.

6.
Pediatr Diabetes ; 19(4): 593-602, 2018 06.
Artículo en Inglés | MEDLINE | ID: mdl-29266622

RESUMEN

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 < .001). Among metabolic risk components, HbA1c was unrelated to PF, while non-HDL-C was inversely associated with CRF (B = -2.40; P < .001), upper limb strength (B = -1.77; P < .05), and lower limb strength (B = -1.53; P < .05) after adjustment for lifestyle factors. Logistic regression showed that the probability of having high CCMR (≥1SD) was synergistically higher in those with the lowest tertiles of both CRF and upper limb strength (P for interaction = .001); however, a substantially lower likelihood of having high CCMR was observed among individuals with the lowest tertile of upper limb strength but moderate CRF. CONCLUSIONS: Lower CRF and MF were significantly and synergistically associated with an unhealthier metabolic risk profile.


Asunto(s)
Capacidad Cardiovascular/fisiología , Enfermedades Cardiovasculares/epidemiología , Enfermedades Metabólicas/epidemiología , Fuerza Muscular/fisiología , Aptitud Física/fisiología , Adolescente , Enfermedades Cardiovasculares/etiología , Estudios Transversales , Prueba de Esfuerzo , Femenino , Humanos , Japón/epidemiología , Masculino , Tamizaje Masivo , Enfermedades Metabólicas/etiología , Enfermedades no Transmisibles/epidemiología , Enfermedades no Transmisibles/prevención & control , Factores de Riesgo
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