Annals of Nutrition and Metabolism最新文献

Introduction: Vitamin D deficiency is associated with bone metabolism and immune disorders. Radiation's seasonal variation affects vitamin D status more at the poles. In Mexico, near the equator, there have been reports of 10-20% vitamin D deficiency in children. There is no consensus on the definition of vitamin D deficiency, different organizations consider that a vitamin D level should be above 20 to 30 ng/ml. This study aimed to analyze vitamin D serum concentrations in children and adolescents from Mexico City and the Metropolitan Area (MA) during different seasons.

Methods: Cross-sectional study in children and adolescents aged 5-20 years from Mexico City and Metropolitan Area, from autumn 2016 to winter 2017. Variables of interest such as anthropometric measurements, food consumption, and physical activity were analyzed.

Results: A total of 816 children and adolescents were included. A high frequency of vitamin D deficiency was detected in 40.7% of the sample. The lowest vitamin D status occurred in winter 2016 and winter 2017.

Conclusion: We found a higher frequency of vitamin D deficiency during winter in children and adolescents in Mexico City and MA. This risk persisted after adjusting for age, sex, BMI Z-score, milk consumption, physical activity, and screen time.

Introduction: This study aimed to determine the effects of Stored Energy on changes in body weight (BW) and skeletal muscle mass (SMM) in patients with post-acute stroke and sarcopenia.　 Methods: This retrospective cohort study included patients with stroke and sarcopenia consecutively admitted to a Japanese rehabilitation hospital between 2015 and 2022. Sarcopenia was diagnosed based on the Asian Working Group for Sarcopenia in 2019 criteria. Total Stored Energy (kcal) was defined as total energy intake minus total energy requirements during hospitalization, and energy requirements were estimated as actual BW (kg) × 30 (kcal/day). Multiple regression analysis was used to adjust for the effects of confounders and to analyze the association between Total Stored Energy divided by length of hospital stay (= Stored Energy) and changes in BW and SMM during hospitalization.

Results: Of the total 556 patients, 193 patients (mean age, 80 years; 43% male) were analyzed. The median (IQR) Total Stored Energy was -1544 (-18524, 16566) kcal and Stored Energy was -23 (-169, 165) kcal/day; 90 patients had Stored Energy > 0. Multiple linear regression analysis showed that Stored Energy was independently and positively associated with BW gain (β=0.412, P<0.001) and SMM gain (β=0.263, P<0.001).

Conclusion: Stored Energy has a positive impact on BW and SMM in patients with post-acute stroke and sarcopenia.

Introduction: Nutritional therapy is an important component of intensive care. We investigated the associations of nutritional therapy in the acute phase of severe COVID-19 with the long-term outcomes of post-intensive care syndrome (PICS) and post-COVID-19 conditions.

Methods: A questionnaire on the health status after COVID-19 was sent to patients 1 year after infection and PICS was evaluated. Total energy and protein intakes during the first week after admission to the intensive care unit (ICU) were calculated. The primary endpoint was a decrease in quality of life (QOL) defined by EuroQol5-dimensions 5-level (EQ5D5L) <0.8. A multivariable regression analysis was used to examine.

Results: A total of 220 ICU patients were included in this study. Median total energy and protein intakes were 65.1 kcal/kg/week and 3.3 g/kg/week, respectively. Total energy and protein intakes were associated with EQ5D5L scores (Energy: unit odds ratio 0.98 [0.97-0.99], p-value<0.01; protein: unit odds ratio 0.72 [0.59-0.87], p-value<0.01). Insufficient total energy and protein intakes were associated with malaise, arthralgia, myalgia, palpitations, sleep disturbance, and muscle weakness.

Conclusions: Poor nutrition during the first week after ICU admission was associated with a decreased QOL one year after. These nutrition shortages were also associated with an increased risk of developing PICS, post-COVID-19 conditions, which may contribute to decreased QOL.

Introduction Hudda-Index is a prediction model for fat mass (FM) based on simple anthropometric measures., FM is a crucial factor in the development of comorbidities, i.e., type 2 diabetes. Hence, Hudda-Index is a promising tool to facilitate identification of children at risk for metabolic comorbidities. It has been validated against deuterium dilution assessments, however, independent validation against the gold-standard for body composition analysis, magnetic resonance imaging (MRI), is lacking. The aim of this study is to validate FM calculated by Hudda-Index against FM measured by MRI. The secondary aim is to compare Hudda-Index to other anthropometric measures including body mass index (BMI), BMI-standard deviation score (BMI-SDS), waist/hip-ratio, waist circumference (WC) and skinfold thickness. Methods The study cohort consists of 115 individuals between the age of 9 and 15 years, recruited at Paracelsus Medical University Hospital in Salzburg (Austria) and Uppsala University Children's Hospital (Sweden). Anthropometry, blood samples, and oral glucose tolerance tests followed standard procedures. MRI examinations were performed to determine visceral adipose tissue (VAT) and subcutaneous adipose tissue (SAT). Results BMI and WC showed slightly stronger associations with the reference standard VAT (r=0.72 and 0.70, p<0.01, respectively) than Hudda-Index (r= 0.67, p<0.01). There is an almost perfect linear association between BMI and Hudda-Index. Accordingly, BMI and Hudda-Index both showed an acceptable association with cardiometabolic parameters. VAT was strongly associated with markers of liver status (LFF r=0.59, p<0.01) and insulin resistance (HOMA-IR r=0.71, p<0.01) and predicted metabolic dysfunction-associated steatotic liver disease (MASLD). Conclusion BMI, although an imperfect measure, remains the most reliable tool and estimates cardiometabolic risk more reliably than other anthropometry-based measures.

Introduction: Appropriate cooking methods can improve food safety, decrease contaminants, and increase nutrient bioavailability. Few studies assessed the sociodemographic characterization of their use in European populations. We aimed to characterize the socio-demographic, lifestyle, and anthropometric predictors of cooking methods in the Swiss population.

Methods: Adults aged 18-75 years (n = 2,050) participating in the cross-sectional national nutrition survey in Switzerland (menuCH) (2014-2015), representing the 7 main regions in the country. We used logistic regressions to assess the probability of the presence or absence of boiled, roasted, microwaved, oven-cooked, gratinated, fried, steamed, and grilled foods by sociodemographic variables.

Results: Among all participants, the most frequently used cooking methods were boiling (46%), stove-cooking (19%), and steaming (8%). Single participants had a higher probability of consuming grilled or fried foods (68%) than their married counterparts and participants with obesity had a higher probability of consuming grilled or fried foods (67% or 135%) compared to those with normal weight. Divorced or separated participants had a 55% lower probability of consuming roasted foods than married participants. Those following a diet had a 57% lower probability of consuming grilled foods compared to those not on a diet.

Conclusion: We found differences in the distribution of cooking methods in the Swiss population by sociodemographic variables. Further studies should examine the link between cooking methods and disease risk.

Introduction: Geriatric Nutritional Risk Index (GNRI) is a reliable index derived from serum albumin levels, height, and weight. Although various prognostic factors have been studied, the effect of preoperative nutritional status on surgical outcomes remains unexplored. This study aimed to evaluate the efficacy of the GNRI in predicting postoperative outcomes of lower gastrointestinal perforation.

Methods: Eighty patients treated at our institution between January 2016 and December 2022 were retrospectively analyzed. This study primarily focused on the correlation between preoperative GNRI and two key outcomes: postoperative hospital stay duration and 1-year mortality rate.

Results: Our findings revealed a significant association between low GNRI scores and increased 1-year mortality (odd ratio 4.0, 95% confidence interval [CI] 1.1-16, p = 0.025). Kaplan-Meier analysis and log-rank test showed that patients in the low GNRI group had markedly poorer overall survival rates than those in the high GNRI group (12-month survival rate 0.88 [95% CI: 0.75-0.95] vs. 0.65 [95% CI: 0.47-0.78]; p = 0.018). Additionally, both univariate and multivariate analyses indicated that lower GNRI scores were associated with prolonged hospital stays.

Conclusion: We showed that a low GNRI score was associated with high mortality and prolonged hospital stay after emergency surgery for lower gastrointestinal perforation.