Traditional japanese diet score and the sustainable development goals by a global comparative ecological study.

BACKGROUND: Reducing the environmental impact of the food supply is important for achieving Sustainable Development Goals (SDGs) worldwide. Previously, we developed the Traditional Japanese Diet Score (TJDS) and reported in a global ecological study that the Japanese diet is associated with reducing obesity and extending healthy life expectancy etc. We then examined the relationship between the TJDS and environmental indicators. METHODS: The average food (g/day/capita) and energy supplies (kcal/day/capita) by country were obtained from the Food and Agriculture Organization of the United Nations Statistics Division database. The TJDS was calculated from eight food groups (beneficial food components in the Japanese diet: rice, fish, soybeans, vegetables, and eggs; food components that are relatively unused in the traditional Japanese diet: wheat, milk, and red meat) by country using tertiles, and calculated the total score from - 8 to 8, with higher scores meaning greater adherence to the TJDS. We used Land Use (m2), Greenhouse gas (GHG) emissions 2007/2013 (kg CO2eq), Acidifying emissions (g SO2eq), Eutrophying emissions (g PO43- eq), Freshwater (L), and water use (L) per food weight by Poore et al. as the environmental indicators and multiplied these indicators by each country's average food supply. We evaluated the cross-sectional and longitudinal associations between the TJDS and environmental indicators from 2010 to 2020. This study included 151 countries with populations ≥ 1 million. RESULTS: Land use (ß ± standard error; -0.623 ± 0.161, p < 0.001), GHG 2007 (-0.149 ± 0.057, p < 0.05), GHG 2013 (-0.183 ± 0.066, p < 0.01), Acidifying (-1.111 ± 0.369, p < 0.01), and Water use (-405.903 ± 101.416, p < 0.001) were negatively associated with TJDS, and Freshwater (45.116 ± 7.866, p < 0.001) was positively associated with TJDS after controlling for energy supply and latitude in 2010. In the longitudinal analysis, Land Use (ß ± standard error; -0.116 ± 0.027, p < 0.001), GHG 2007 (-0.040 ± 0.010, p < 0.001), GHG 2013 (-0.048 ± 0.011, p < 0.001), Acidifying (-0.280 ± 0.064, p < 0.001), Eutrophying (-0.132 ± 0.062, p < 0.05), and Water use (-118.246 ± 22.826, p < 0.001) were negatively associated with TJDS after controlling for confounders. CONCLUSIONS: This ecological study suggests that the traditional Japanese dietary pattern might improve SDGs except Fresh water.

Association of resting energy expenditure with phase angle in hospitalized older patients: a cross-sectional analysis.

BACKGROUND/OBJECTIVES: Resting energy expenditure (REE) constitutes the largest component of total energy expenditure and undergoes an age-related decline that is unexplained by decreased fat-free mass. Phase angle (PhA) is a cellular health indicator that is possibly associated with REE. We investigated the association of REE and PhA in hospitalized older adults. SUBJECTS/METHODS: This single-center, cross-sectional analysis utilized the baseline data from a prospective longitudinal study and included 131 eligible patients aged ≥70 years. The REE was measured using indirect calorimetry, and PhA and body composition were assessed using bioelectrical impedance. The association between REE, PhA, and body composition was examined, and REE was compared using previously reported PhA cutoff values. RESULTS: In this cohort with a mean (±standard deviation) age of 87.4 (±7.0) years, 34.4% of the participants were men. REE and PhA correlated strongly (r: 0.562, p < 0.001) and significantly after adjusting for age and sex (r: 0.433, p < 0.001). Multivariate analysis showed a significant independent association between REE and PhA and skeletal muscle mass (standardized ß [95% CI]; 28.072 [2.188-53.956], p = 0.035) without any significant interaction between PhA and age on REE. The low PhA group had a significantly lower REE (kcal/day; 890 [856-925] vs. 1077 [1033-1122], p < 0.001), and this remained significant after adjusting for age, sex, and skeletal muscle mass index. CONCLUSIONS: PhA is associated with REE in older adults. Adjusting REE calculation algorithms based on PhA values and correcting predicted REE according to PhA may aid in determining more accurate energy requirements.

New prediction equations for resting energy expenditure in older hospitalized patients: Development and validation.

OBJECTIVES: Accurate resting energy expenditure (REE) prediction is needed to prevent over- or underfeeding in older hospitalized patients. However, few validated REE prediction Equations are known for such patients. Therefore, this study aimed to develop new REE prediction Equations and evaluate their validity. METHODS: This single-center, cross-sectional study enrolled 134 patients ages ≥70 y. For holdout validation, patients were randomized in a 3:1 ratio; for the development data set, a new Equation was developed according to the measured REE using indirect calorimetry. The new and existing Equations were compared using the validation data set. RESULTS: Mean patient age was 87.4 ± 6.9 y, and 34.3% were male. Two Equations were developed in multivariable regression models: Equation 1: REE (kcal/day) = 313.582 + Height (cm) × 3.973 + Body weight (kg) × 5.332 - Age (y) × 5.474 - (0 if male; 1 if female) × 20.012 + Calf circumference (cm) × 12.174; and Equation 2: REE (kcal/day) = 594.819 + Height (cm) × 3.760 + Body weight (kg) × 8.888 - Age (y) × 6.298 - (0 if male; 1 if female) × 16.396. The mean relative bias (95% CI) with measured REE as a reference had a small bias for Equations 1 and 2 (-0.1 [-4.1 to 3.9]% and -0.2 [-4.4 to 4.1]%, respectively); however, the Harris-Benedict, Food and Agriculture Organization of the United Nations/World Health Organization/United Nations University, Ganpule, and body weight × 20 Equations had larger biases (-6.2 [-10.3 to -2.0]%; 5.3 [1.3 to 9.3]%; -13.9 [-18.6 to -9.3]%; and -11.6 [-16.1 to -7.1]%, respectively). CONCLUSIONS: New prediction Equations using height, body weight, age, sex, and calf circumference improve REE prediction accuracy in older hospitalized patients.

Resting Energy Expenditure in Older Inpatients: A Comparison of Prediction Equations and Measurements.

Determining energy requirements are an important component of nutritional support for patients with malnutrition; however, the validity of prediction equations for resting energy expenditure (REE) is disputed in older hospitalized patients. We aimed to assess the validity of these equations in older hospitalized patients in Japan. This was a single-center, cross-sectional study of 100 patients aged ≥70 years, hospitalized between January 2020 and December 2021. REE was measured using an indirect calorimeter and was compared to the predicted values calculated from five REE prediction equations. The mean (95% confidence interval) measured REE was 968.1 (931.0, 1005.3) kcal/day, and the mean predicted REE was higher for the FAO/WHO/UNU (1014.3 [987.1, 1041.6] kcal/day, p = 0.164) and Schofield (1066.0 [1045.8, 1086.2] kcal/day, p < 0.001) equations and lower for the Harris-Benedict (898.6 [873.1, 924.1] kcal/day, p = 0.011), Ganpule (830.1 [790.3, 869.9] kcal/day, p < 0.001), and body weight (kg) × 20 (857.7 [821.9, 893.5] kcal/day, p < 0.001) equations. In the age group analysis, none of the predicted values were within a 10% error for more than 80% of patients aged 70−89 years and ≥90 years. The five REE prediction equations did not provide accurate estimates. Validated REE prediction equations need to be developed for older hospitalized patients.

Global relationship between Mediterranean diet and the incidence and mortality of ischaemic heart disease.

BACKGROUND: The purpose of this study was to clarify the global relationship between the Mediterranean diet score (MDS) and country-wise incidence and mortality of ischaemic heart disease (IHD) using an international database. METHODS: We used population data from a global longitudinal database covering 137 countries with a population of over one million. MDS were evaluated based on the total score of the nine foods that comprise the Mediterranean diet. The incidence and mortality of IHD by country was derived from the Global Burden of Disease (GBD) database. Average food (g/day/capita) and energy supply (kcal/day/capita) by country, excluding loss between production and household, were obtained from the Food and Agriculture Organization of the United Nations Statistics Division database. Data from the GBD database were used for body mass index, current smoking rates, physical activity, years of education and percentage of the Muslim population. We identified the percentage of the population over 65 years of age (aging rate) and gross domestic product per capita (US$/capita) using the World Bank database. A linear mixed-effect model was used for evaluating the effects of MDS on incidence and mortality of IHD controlled for socioeconomic and lifestyle variables. RESULTS: Analysis showed that MDS was significantly associated with IHD incidence after controlling for covariates (-1.01 ± 0.27, P < 0.001). Similarly, there was a significant association between MDS and IHD-related mortality after controlling for covariates (-0.73 ± 0.34, P < 0.05). CONCLUSION: Analysis of 27 years of data suggests that a Mediterranean diet might have a preventive effect on IHD.

Trends in age-standardised prevalence of type 2 diabetes mellitus according to country from 1990 to 2017 and their association with socioeconomic, lifestyle and health indicators: An ecological study.

BACKGROUND: There is a need for global public health strategies to effectively curb the ever-growing global diabetes population. This longitudinal ecological study was conducted to elucidate the country-specific trends of the age-standardised prevalence of type 2 diabetes mellitus (T2DM) and their association with socioeconomic, lifestyle and health indicators. METHODS: Data pertaining to the age-standardised prevalence of T2DM (rates per 100 000) and socioeconomic, lifestyle and health indicators were obtained from several international databases. Data available from 1990 to 2017 for 139 countries with populations of 1 million or greater were analysed, followed by estimation of slopes for T2DM prevalence in each country. The longitudinal association between T2DM and the standardised variables of socioeconomic, lifestyle and health indicators was fitted using a generalised linear mixed-effects model with random intercept for each country and random slope for year. RESULTS: The country-specific age-standardised prevalence of T2DM decreased significantly in 9 countries, remained unchanged in 11 countries and increased significantly in 119 countries. The estimated standardised effect of age-standardised education for T2DM was the largest at -524.5 (SE; 109.9), followed by -514.8 (SE; 95.6) for physical activity and 398.8 (SE; 45.8) for body mass index (BMI) (P < 0.0001 for all). CONCLUSIONS: The factors largely associated with global T2DM prevalence and trends were years of education, followed by physical activity and BMI. This study also provides basic resources for examining public health approaches to curb the increase in global T2DM prevalence.

Dietary diversity and healthy life expectancy-an international comparative study.

BACKGROUND/OBJECTIVES: The prolongation of healthy life expectancy (HALE) is a core issue of health policy in many countries. The purpose of this study is to clarify the relationship between dietary diversity and HALE using international databases. MATERIALS/METHODS: HALE data by country were derived from the Global Burden of Disease (GBD) 2015 database. Average food supply (g/day/capita) and energy supply (kcal/day/capita) by country, excluding loss between production and household, were obtained from the Food and Agriculture Organization of the United Nations Statistics Division database. Each food was sorted across 12 food groups, and dietary diversity was obtained from food groups using the Quantitative Index for Dietary Diversity (QUANTIDD). The cross-sectional and longitudinal associations between QUANTIDD and HALE were examined in the countries with populations of one million or greater. RESULTS: Cross-sectional analysis showed that HALE was significantly associated with QUANTIDD (ß = 99.9 ± 11.4, p < 0.001) in the single regression model and in the multiple regression model controlled for covariates (ß = 36.4 ± 11.3, p = 0.002). Longitudinal analysis showed that HALE increased with QUANTIDD during the 15-year study period (ß = 46.4 ± 5.1, p < 0.001), and this association was also significant when controlled for covariates (ß = 39.7 ± 5.1, p < 0.001). Longitudinal association of QUANTIDD with the percentage difference between life expectancy and HALE controlled for covariates was significantly negative (ß = - 1.3 ± 0.5, p = 0.011). CONCLUSIONS: After controlling for socioeconomic indicators, longer healthy life is enjoyed by populations of countries with greater dietary diversity.