Total Daily Energy Research Articles

How to improve sustainability of nutrient dense diets for children and adolescents: an exemplary assessment in Germany.

The global climate crisis requires a paradigm shift in dietary concepts, respecting the needs of children. A global reference diet has been suggested by the EAT-Lancet Commission. On this basis, the detailed "Planetary Health Diet Index" (PHDI) has been proposed. The objective of this assessment is (1) to apply the PHDI to the Food-Based Dietary Guidelines, the so-called Optimized Mixed Diet (OMD) for children and adolescents in Germany in its original composition and (2) to check how the planetary value of the OMD could be improved by modifying food selection within meals while keeping the high nutrient densities of the guideline diet. The PHDI specifies 16 food groups and their proportion of total daily energy intake. The PHDI of the original OMD was calculated by assigning the foods of the 7-day menu to the PHDI food groups in order to score them. In this way, it became apparent which food groups had the potential to improve the sustainability. The diet was then updated by either reducing or increasing individual foods from these food groups in the meals and deriving the resulting PHDI. The nutrient densities of the original and updated daily OMD were calculated. The original diet obtained a PHDI score of 68.24 points, representing 45.5% of the theoretical maximum of 150 points. The following food groups achieved 9.9 to 10 out of 10 points: fruits, total vegetables, fish&seafood, vegetable oils, chicken (and substitutes). Conversely, food groups receiving a zero score included tubers&potatoes, dairy, red meat, animal fat, and added sugars. The updated diet resulted in increased consumption of 'nuts&peanuts', 'legumes', 'green vegetables', 'whole grains', and decreased consumption of 'tubers&potatoes' and 'red meat'. Overall, the PHDI increased from 68.24 to 81.51 points with the updated OMD, reflecting a 13.27% increase compared to the original diet. The nutrient densities were not significantly affected, but even slightly increased for most nutrients. The PHDI was applied to demonstrate how the sustainability of the guideline diet for children and adolescents in Germany could be improved through changes in individual food groups that can be easily implemented in practice while maintaining high nutrient densities and acceptability for children. NA.

Measuring energy expenditure in narcolepsy using doubly-labelled water and respiration chamber calorimetry.

Hypocretin deficiency causes type 1 narcolepsy, a condition characterised by excessive daytime sleepiness, cataplexy, and fragmented nocturnal sleep. Two-thirds of people with narcolepsy are also overweight, of which half are obese. The pathophysiology behind weight gain in people with narcolepsy remains unknown. We assessed a possible decrease in energy expenditure as a cause for overweight in narcolepsy using respiration chamber calorimetry and doubly labelled water. Ten males with type I narcolepsy and nine matched (for age, sex, and BMI) healthy controls were enrolled. Subjects stayed in a respiration chamber for 24 hours. They subsequently received doubly labelled water and wore an accelerometer for two weeks to assess energy expenditure and physical activity under daily living conditions. Total daily energy expenditure, resting energy expenditure, overnight metabolic rate, physical activity level and activity-induced energy expenditure were measured. No significant differences were found in resting energy expenditure, mean 24-hour respiration chamber energy expenditure, overnight metabolic rate and activity-induced energy expenditure when comparing people with narcolepsy type 1 to controls. Physical activity was also comparable between groups. Energy expenditure in narcolepsy type 1 is similar to matched controls, suggesting comparable metabolism and physical activity rates. It remains possible that metabolic changes are most pronounced around disease onset. In addition, patients had to discontinue their medication which may have influenced the results. Still, our findings suggest that other factors may also play a role in weight gain in narcolepsy, such as differences in dietary behaviour.

Distinct characteristics of MetALD (metabolic dysfunction-associated steatotic liver disease with greater alcohol consumption) in the general population.

The term MetALD has been introduced to describe individuals who have metabolic dysfunction-associated steatotic liver disease (MASLD) with greater alcohol consumption, according to the new nomenclature for steatotic liver disease (SLD). This study aims to evaluate the prevalence and clinical characteristics of MetALD in the general population. This study is a retrospective, cross-sectional analysis that utilizes the population-based data from the Korea National Health and Nutrition Examination Survey (KNHANES) undertaken between 2019 and 2021. A total of 16521 participants aged over 18years were included in the analysis. The presence of hepatic steatosis was determined based on a hepatic steatosis index of 36 or higher. The prevalence of MetALD was 2.8% (95% confidence interval, 2.5-3.2). Individuals with MetALD were predominantly men (85.4%) and tended to be younger compared to those with MASLD. They showed a higher prevalence of hypertension and had significantly higher levels of fasting glucose, triglycerides, high-density lipoprotein cholesterol, and creatinine compared to individuals with MASLD. The average daily total energy intake was higher in the MetALD group. In addition, the MetALD group had a lower proportion of unemployment with higher income compared to the MASLD group. Patients with MetALD showed distinct clinical characteristics from those with MASLD. The characteristics of MetALD were similar to those with alcohol-related liver disease. Further analysis of MetALD across various regions and ethnic groups would be needed.

The Relationship Between Dance Training Volume, Body Composition, and Habitual Diet in Female Collegiate Dancers: The Intercollegiate Artistic Athlete Research Assessment (TIAARA) Study.

This study's purpose was to evaluate the relationship between dance training volume, body composition, and habitual diet in female collegiate dancers. Thirty-three female collegiate dancers from three dance programs (20.4 ± 1.05 yrs.; 165.4 ± 11.3 cm, BMI 21.3 ± 3.4 kg/m2) participated in "The Intercollegiate Artistic Athlete Research Assessment (TIAARA)" study. We assessed dance training volume, body composition, and habitual diet. Data were analyzed using descriptive statistics (means ± SD). Two-sample t-tests were conducted to compare reported intake values versus sports nutrition recommendations. Two-tailed Pearson correlations (r) were computed for body composition and dietary intake (p < 0.05). Collegiate dancers were enrolled in 16 ± 2.09 semester credits, with 7.7 ± 3.8 credits as dance movement courses and an additional 3.0 ± 1.5 h/week of rehearsal time. Body composition assessments included fat mass (24.4 ± 6.8%), lean mass (LM) (42.4 ± 10.1 kg), and total body water (32.6 ± 4.6 L). Habitual diets reflected a low-calorie diet (1399 ± 648 kcal/d), with ~20% of dancers consuming a very low-calorie diet (≤1000 kcal/d). Dancers reported under-consuming dietary protein (54.3 ± 26.2 g) and carbohydrate (171.8 ± 77.8 g). LM was positively correlated with daily total energy (r = 0.333), fat (r = 0.37), protein (r = 0.349), and leucine intake (r = 0.352). Our findings emphasize the positive effect of adequate nutritional quantity and quality on body composition in female collegiate dancers.

Energy expenditure, metabolic adaptation, physical activity and energy intake following weight loss: comparison between bariatric surgery and low-calorie diet.

Bariatric surgery remains the most effective treatment to achieve substantial weight loss; however, total daily energy expenditure and physical activity changes in response to such interventions have been seldom explored. In this prospective observational study, total daily energy expenditure (TDEE) using doubly labeled water and physical activity (SenseWear armband) was assessed in 17 females (mean ± SD: 48.6 ± 9.7 kg/m2, 43 ± 12 years) at baseline and 8 and 52 weeks following either bariatric surgery (BSG, N = 9) or a low-calorie diet (LCD, N = 8). Energy intake was assessed using the intake-balance method. After 8 weeks, weight loss was 16.0 ± 3.5 kg and TDEE decreased by 552 ± 319 kcal/d in BSG (P < 0.001) compared to 8.8 ± 3.4 kg and 256 ± 239 kcal/d in LCD (P < 0.05). After 52 weeks, weight loss was 44.3 ± 16.4 kg and TDEE decreased by 583 ± 418 kcal/d (P < 0.001), compared to 4.3 ± 6.7 kg and 84 ± 285 kcal/d in LCD (P > 0.05). TDEE was lower than predicted in BSG at 8 (P = 0.03) but not 52 weeks (P = 0.77). There was no evidence of metabolic adaptation in LCD. Average daily energy intake in BSG was 1403 ± 245 kcal/d compared to 2545 ± 398 kcal/d in LCD (P < 0.001). In BSG, step count and physical activity minutes were increased at 52 weeks compared to baseline (P = 0.03), whereas no significant changes were observed in LCD. Bariatric surgery-induced weight loss decreased TDEE at 8 weeks and 1 year, resulting in metabolic adaptation after 8 weeks that was reversed at 1 year. These changes were accompanied by an increase in physical activity.

Investigating the diverse role of ultra-processed foods on cardiometabolic multimorbidity: Highlights from the ATTICA prospective study (2002-2022)

Abstract Background/Introduction The role of ultra-processed foods (UPF) on multimorbidity is currently unknown with limited research implying the existence of complex associations among the diverse UPF categories. Purpose The aim of the present work was to investigate the association of total and subgroup intake of UPF with cardiometabolic multimorbidity, after twenty years of observation, in a Mediterranean region. Methods In 2001-2002, n=3,042 free-of-cardiovascular disease (CVD) men and women from Attica, Greece, were recruited. Dietary assessment was based on a validated semi-quantitative food frequency questionnaire. The NOVA Food Classification system was used to assign the food products as UPF using a standard methodology. The food products assigned as UPF were further grouped as "bread and cereals", "spreads and sauces", "sweets and desserts", "artificially and sugar-sweetened beverages", "processed meat products" and "savory snacks". Cardiometabolic multimorbidity was defined as the co-occurrence of two cardiometabolic diseases i.e., type 2 diabetes and CVD within a 20-year follow-up period in a sample of n=1,846 participants with available data. Results The median consumption level of UPFs was 26.6 (16.3) servings/week contributing to around 40% of participants total daily energy intake. Over the 20–year follow–up period, n=231 cases of cardiometabolic multimorbidity were recorded. Ranking from 1st tertile (lower intake– 11.8 mean servings/week) to 2nd tertile (23.3 mean servings/week) and 3rd tertile (44.7 mean servings/week) regarding the consumption level of UPF, 20-year cardiometabolic multimorbidity was 9.5%, 13.4% and 14.7% respectively. Multi-adjusted analysis revealed that one standard deviation (SD) increase in UPF intake (servings/week) or in contribution of UPFs to total energy intake (% total energy intake) was associated with 26% [Odds ratio (OR)=1.26, 95% Confidence Interval (95%CI) (1.17–1.85)] and 29% higher risk of cardiometabolic multimorbidity [OR=1.29, 95%CI (1.08–1.69)]. Among UPF subgroups, only in case of artificial and sugar-sweetened beverages [OR=1.06, 95%CI (1.02–1.13)] as well as spreads and sauces [OR=1.06, 95%CI (1.02–1.13)] a positive association was observed. In case of breads and cereals an inverse association was observed [OR=0.95, 95%CI (0.92–0.98)]. In the rest categories even if a positive trend was observed (all ORs&amp;gt;1) significance was not reached (all p-values&amp;lt;0.05). Conclusion A dose-response relationship between UPF consumption and elevated risk of cardiometabolic multimorbidity was emerged. However, the diverse categorization of UPFs accompanied by the contradicting associations revealed herein among the different subcategories of UPFs could imply the need to return to the evaluation of foods more on the basis of their nutritional role and less on the basis of their degree of processing. The nation context accompanied by specific dietary habits should also be taken into consideration.

Improving quality control procedures for the measurement of total daily energy expenditure using the two-point doubly labeled water method.

The precision of the doubly labeled water (DLW) method is determined by the precision and accuracy of the isotopic measurements. Quality control (QC) procedures to mitigate sample variability require additional measurements if sample duplicates differ more than a factor of instrument precision. We explored the effect of widening QC ranges on total daily energy expenditure (TDEE) determined using the two-point sampling method. We screened DLW data from 121 individuals for instances where samples were analyzed more than twice using our existing QC criteria (±2.0 per mil [δ] for 2H and ±0.5 δ for 18O). We then applied wider QC ranges for accepting duplicate measures and recalculated TDEE. Widening the 2H QC range to ±10.0 δ in samples collected on the first day (most enriched) and to ±5.0 δ in samples collected on the final day (less enriched) produced almost identical mean TDEE compared to the originally calculated TDEE (2684 ± 508 vs. 2687 ± 512 kcal/day, p= 0.40). There was a strong correlation with the originally calculated TDEE (r2=0.97, p< 0.001). Expanding the 2H QC range to ±10.0 δ for samples collected on the first day and ±5.0 δ for samples collected on the final day provides similar mean TDEE results. These findings may help DLW labs optimize QC criteria and reduce analytical costs.

Comprehensive Review on BMI, TDEE, BMR, and Calories for Weight Management: Insights into Energy Expenditure and Nutrient Balance for Long-Term Well-Being

Body Mass Index (BMI) is a basic tool for assessing body mass based on height and weight, classifying individuals in BMI categories as underweight, normal, overweight, or obese. However, it has limitations as it overlooks muscle mass and fat distribution. Total Daily Energy Expenditure (TDEE) plays a crucial role in measuring the current maintenance calories, surplus calories for weight gain, and deficit calories for weight loss associated with Bansal Metabolic Rate (BMR) and Physical Activity Level (PAL). TDEE is related to 3 phases incline, stable, and decline according to age groups. Keeping these parameters, the current review focused on BMI, TDEE, BMR and calories. Calories are essential for understanding the energy the body stores and uses, making them a key factor for weight management. Macronutrients such as carbohydrates, proteins, and fats provide different amounts of energy, which can impact insulin levels and trigger cravings. Tools like BMI and BMR are useful, but focusing solely on counting calories is not enough for effective weight management. A sustainable approach includes understanding how the body processes different foods, choosing nutrient-rich options, regulating blood sugar, and staying physically active are discussed. This work reveals the long-term well-being for weight management via focused on BMI, TDEE, BMR and calories.

Dietary Intake and Diet Quality of Female and Male NCAA Division I Cross Country Runners from a Single University

BackgroundCollegiate student-athletes have unique nutritional requirements to support their athletic performance and health. Few studies have comprehensively characterized the diets of National Collegiate Athletic Association (NCAA) Division I student-athletes. ObjectivesTo characterize dietary intake and diet quality during a competitive season in female and male NCAA Division I cross country student-athletes from a single university. MethodsFemales and males (n = 14/sex) from the Florida State University cross country teams completed 9-d of food records across their competitive season. Nutrient intakes were compared to the Dietary Reference Intakes for the United States population [e.g., Recommended Daily Allowances (RDAs)] and athlete-specific guidelines. Diet quality was assessed according to the Dietary Guidelines for Americans (DGAs) using the 2020 Healthy Eating Index (HEI-2020). Total daily energy expenditure was estimated from training records. ResultsCarbohydrate intakes were below athlete guidelines in 43% of females (mean ± SD, 5.67 ± 1.16 g·kg–1·d–1) and 29% of males (4.95 ± 1.05, P sex = 0.096). All participants met or exceeded athlete recommendations for protein (2.09 ± 0.425 g·kg–1·d–1, 1.92 ± 0.519, P sex = 0.36) and fat (32.8 ± 5.1% kcal, 34.4 ± 3.4%, P sex = 0.36). No participants met the RDA for vitamin D (5.14 ± 1.78 μg/d, 4.91 ± 3.24, P sex = 0.83). Only 79% of females and 36% of males met the RDA for calcium (1220 ± 307 mg/d, 1010 ± 296, P sex = 0.83). Most females (n = 13) and males (n = 11) consumed iron supplements where total intakes exceeded the tolerable upper intake level (110 ± 60.1 mg/d, 66.8 ± 36.3, P sex = 0.029). HEI-2020 indicated poor adherence to the DGAs, with better diet quality in females (65.3 ± 13.7) than males (50.6 ± 10.1, P sex = 0.0034). Participants failed to meet guidelines for all HEI-2020 food group components except total protein foods. Total daily energy expenditure was greater in males and declined across the competitive season (P sex < 0.0001, P time < 0.0001, P sex∗time = 0.25). ConclusionsNCAA Division I cross country student-athletes consumed inadequate carbohydrates, calcium, and vitamin D but met or exceeded intake guidelines for protein, fat, and iron. Diet quality was poor; HEI-2020 component scores may indicate food groups to target to improve diet quality and intake of nutrients important to runners.This trial was registered at clinicaltrials.gov as NCT04079322.

KAWANKULINER: PERSONALISED FOOD RECOMMENDATION APP USING BMR AND TDEE FOR OPTIMAL DAILY NUTRITION

People often have difficulty in determining the type of food that is suitable for the composition of their body. This is due to the many types of food available, as well as the lack of information about the nutritional content of each type of food. By fulfilling the daily calorie and macro-nutrient needs required by the body, its metabolism can be maintained, preventing various health problems such as malnutrition. Based on the results of the Basic Health Research in 2018 malnutrition is one of the most serious problems in Indonesia. Several studies related to calculating calorie estimates using the BMR approach with the utilization of technology have been conducted.However, these studies were limited to only displaying the amount of daily calorie needs that were not accompanied by what foods were needed to meet these daily needs. The purpose of this research is to build an app to help individuals understand their daily calorie needs based on their Basal Metabolic Rate (BMR) and total daily expenditure energy (TDEE), using smart scale to provide body composition information and spoonacular API to provide food recommendations that match their energy needs and give them recipes on how to make their food meanwhile waterfall model is used as a software development method. The test results show that the app meets the functional and usability requirements well, with a high accuracy rate of 99.86% for calories, protein, fat, and carbohydrates. In terms of user response, 13 respondents had a very positive response, and considered the app useful for making it easier to get information about their calorie and macro-nutrient needs, as well as provide food recommendations based on their daily needs.

The association between ultra-processed food consumption and low-grade inflammation in childhood: A cross-sectional study.

This study aimed to investigate the relationship between the amount of ultra-processed food (UPF) in the diet and low-grade inflammation in children. This cross-sectional study was conducted in 50 healthy children recruited from children attending the Social Paediatrics Outpatient Clinic for follow-up of normal developmental stages. Low-grade inflammation was calculated by INFLA-score, dietary intake by three 24-h dietary recalls and dietary content analyses by BeBiS™ software. The mean age of the 50 children included in our study was 10.18 ± 3.98 years (5-17 years). UPF accounted for 24.5% of the total daily energy intake of children. In children with higher inflammation scores (INFLA-score ≥ 2), the amount in grams of UPF and the percentage of total energy from UPF were found to be significantly higher (p = 0.030 and p = 0.015, respectively). A weak positive correlation was found between the INFLA-score and the percentage of daily dietary energy intake coming from UPFs (r = 0.350, p < 0.01), the average daily energy intake from UPFs (r = 0.313, p < 0.05), and the average daily amount of UPF consumed (r = 0.260, p < 0.05). The linear regression model revealed that every one-unit increase (1%) in the percentage of total daily energy intake coming from UPF caused an increase in β = 0.154-unit in the INFLA-score. It was found that obesity was not a mediator in the association between the percentages of total energy intake from UPF on the INFLA-score, instead, the energy intake from UPF had a significant direct association with the INFLA-score. The average amount of UPF consumed daily showed an increasing pattern in parallel with inflammation-score quartile classes (Q1 to Q4) with 33.3% in Q1, 38.5% in Q2, 53.8% in Q3 and 66.7% in Q4 (p = 0.049). In conclusion, a positive association was found between low-grade inflammation and UPF consumption in children, independent of obesity.

Effects of Specially Designed Energy-Restricted Diet on Anthropometric Parameters and Cardiometabolic Risk in Overweight and Obese Adults: Pilot Study.

This study examined the effects of a specially designed energy-restricted diet with alternate carbohydrate intake on body composition and cardiometabolic risk factors in overweight and obese adults. The aim was to assess whether the intervention could lead to significant weight loss, improve body composition, and reduce cardiometabolic risks. Sixty-five participants (34 women, 31 men) with an average BMI of 31.8 ± 9.1 kg/m2 (women) and 34.1 ± 6.4 kg/m2 (men) participated in a 14-week intervention. The diet included different days of carbohydrate intake and a 20% reduction in total daily energy consumption. Anthropometric measurements and biochemical parameters, including predictive indices of cardiometabolic risk, were determined at baseline and after the intervention. The intervention resulted in a significant reduction in body weight (mean weight loss of 17%, p < 0.001), with 64.6% of participants achieving a weight loss of at least 10%. Muscle mass as a percentage of total body weight increased. Cardiometabolic improvements were observed in fasting blood glucose (from 5.4 to 4.9 mmol/L, p < 0.001) and LDL cholesterol (from 3.38 to 2.81 mmol/L, p < 0.001). Gender-specific differences were found, particularly in HDL-C, which decreased significantly in women (p = 0.013), while there was a non-significant increase in men. Cardiometabolic indices, including the Visceral Adiposity Index (VAI) and the Cardiometabolic Index (CMI), also improved significantly. The alternate carbohydrate diet improved body composition, cardiometabolic health, and treatment adherence through metabolic flexibility. However, the short duration of this study and the lack of a control group suggest that further research is needed to assess long-term sustainability.

Who is consuming ultra-processed food in Canada? A cross-sectional analysis of the 2018/2019 International Food Policy Study.

High consumption of ultra-processed foods and drinks (UPF) has been linked to poor diet quality and an increased risk of non-communicable diseases. To inform public policies and interventions aimed at reducing UPF intake in Canada, updated information on UPF intake among different sociodemographic groups is needed. This study, using data from 5,872 adults aged 18 years and older from the International Food Policy Study (2018-2019), aims to estimate the dietary energy contribution of UPF and assess its variation among sociodemographic subgroups. All foods and drinks reported in a single 24-hour dietary recall were classified using the Nova system. We estimated the mean proportion of total daily energy from UPF and subcategories of UPF in the overall sample and among sociodemographic subgroups. Multivariable linear regression models evaluated the association between sociodemographic characteristics with the proportion of total daily energy from UPF. On average, adults consumed 45.2% of their total daily energy from UPF. UPF consumption was slightly higher among males than females (49.4% vs. 47.6%, p=0.039) and younger adults aged 19-30 years compared with older adults aged 51-64 years (50.0% vs. 47.2%, p=0.029), adjusting for a range of sociodemographic factors. Overall, UPF consumption was relatively high among adults in all sociodemographic subgroups, highlighting the need for policies to decrease UPF consumption in the entire population.

Maternal pregnancy diet quality, night eating, and offspring metabolic health: the GUSTO study.

We investigated the understudied influence of maternal diet quality, food timing, and their interactions during pregnancy on offspring metabolic health. Maternal diet at 26-28 weeks' gestation was assessed using a 24-h recall and adherence to the modified-healthy-eating-index (HEI-SGP) reflects diet quality. Predominant night-eating (PNE) was defined as consuming >50% of total daily energy intake from 19:00 to 06:59. Outcomes were offspring composite metabolic syndrome score and its components measured at age 6 years. Multivariable linear regressions adjusted for relevant maternal and child covariates assessed associations of diet quality and PNE with these outcomes. Up to 758 mother-child pairs were included. The mean(SD) maternal HEI-SGP score was 52.3(13.7) points (theoretical range: 0-100) and 15% of the mothers demonstrated PNE. Maternal diet quality showed inverse relationship with offspring HomeostaticModel AssessmentforInsulinResistance (HOMA-IR) [β(95% CI): -0.08(-0.15, -0.02) per-10-point HEI-SGP increment; P = 0.012]. Maternal PNE was associated with a higher offspring HOMA-IR [0.28(0.06, 0.50); P = 0.012], with similar estimates after adjustment for children's BMI and diet quality; the association was stronger for boys (P-interaction<0.001) and among mothers with lower diet quality (<median HEI-SGP) (P-interaction = 0.062). Maternal PNE and low dietary quality were associated with a higher level of insulin resistance in early childhood, especially among boys. We demonstrated that maternal predominant night-eating behavior and low-quality diet are associated with higher offspring insulin resistance. Maternal low-quality diet and predominant night-eating behavior synergistically interact to influence offspring insulin resistance, particularly among boys. While maternal diet quality and food timing impact the mother's health, their influence on offspring long-term health outcomes through developmental programming is not well understood. Our findings highlight the significance of maternal food timing and calls for further studies on its influence on child health through developmental programming. Targeting both dietary quality and food timing during pregnancy could be a promising intervention strategy.

Neuroprotective Dietary Patterns and Longitudinal Changes in Cognitive Function in Older Adults

BackgroundNumerous studies have examined the association between neuroprotective diets and cognitive function during aging; however, these studies have produced divergent findings. Some studies find that greater adherence to these dietary patterns is associated with preserved cognition, whereas others find no effect. ObjectiveThe aim of this study was to examine the association of the Mediterranean, the Dietary Approach to Stop Hypertension (DASH), and Mediterranean-DASH Intervention for Neurodegeneration Delay (MIND) dietary patterns with global cognition over 4 waves of data from the Health and Retirement Study, a longitudinal panel study conducted at the University of Michigan. DesignThis is a longitudinal secondary data analysis using Health and Retirement Study data drawn from the Food Frequency Questionnaire completed as part of the Health Care and Nutrition Survey administered in 2013 to 2014, neuropsychological assessment data obtained from the Core questionnaire in 2014, 2016, 2018, and 2020, and demographic data from the Core questionnaire in 2014. Participants/settingParticipants with total daily energy intake below 600 or 800 kcal and above 6000 and 8000 kcal for women and men, respectively, were excluded based on criteria from a similar study using the same dataset. In addition, participants with a diagnosis of dementia, Alzheimer disease, or stroke as of 2014 were excluded. There were 6154 participants in the Mediterranean diet and DASH diet analyses and 5143 participants in the MIND diet analyses. Main outcome measureA global cognitive measure incorporating immediate and delayed recall, serial 7s, and backward counting scores was calculated for each participant at each wave. Statistical analysisThe primary analyses examined the association between each diet type and cognition over 4 waves using separate multilevel models that controlled for age, gender, self-rated health, years of education, total energy intake, weekly exercise, and body mass index. ResultsMediterranean and DASH diet adherence were positively and significantly associated with baseline cognition and were associated with slower cognitive decline over a 6-year period. MIND diet adherence was positively and significantly correlated with baseline cognition but was not significantly associated with slower cognitive decline over a 6-year period. Cross-level interactions for adherence to each dietary pattern and cognitive change over time, computed with standardized diet scores, were as follows: Mediterranean diet (β = .03; P = .002), DASH diet (β = .04; P = .004), and MIND diet (β = .02; P = .094). ConclusionsThe Mediterranean, DASH, and MIND dietary patterns are associated with better cognitive performance at baseline and the Mediterranean and DASH diets were associated with slower cognitive decline over time. Adherence to the DASH diet had the greatest magnitude of association with baseline cognition and rate of cognitive change.

Energetics of a World-Tour Female Road Cyclist During a Multistage Race (Tour de France Femmes).

Despite the increased popularity of female elite road cycling, research to inform the fueling requirements of these endurance athletes is lacking. In this case study, we report for the first time the energetics of a female world-tour cyclist competing in the 2023 Tour de France Femmes, an 8-day race of the Union Cycliste Internationale. The 29-year-old athlete presented with oligomenorrhea and low T3 before the race. Total daily energy expenditure assessed with the doubly labeled water technique was 7,572kcal/day (∼4.3 physical activity levels), among the highest reported in the literature to date for a female. Crank-based mean maximal power was consistent with female world-tour cyclists (5min, mean 342W, 4.8W/kg; 20min 289W, 4.1W/kg). The average daily energy intake measured with the remote food photography method (Stage Days 1-7) was 5,246kcal and carbohydrate intake was 13.7g/kg (range 9.7-15.9g/kg), and 84g/hr during stages, and an average fat intake of 15% of daily energy intake. An estimated 2,326kcal/day energy deficit was evidenced in a 2.2kg decrease in body mass. Notwithstanding the high carbohydrate intake, the athlete was unable to match the energy requirements of the competition. Despite signs of energy deficiency preexisting (oligomenorrhea and low T3), and other further developing during the race (weight loss), performance was in line with that of other world-tour cyclists and a best personal performance was recorded for the last stage. This case study emphasizes the need for further research to inform energy requirements for female athletes' optimal performance and health.

Energy Expenditure in Humans: Principles, Methods, and Changes Throughout the Life Course.

Humans require energy to sustain their daily activities throughout their lives. This narrative review aims to (a) summarize principles and methods for studying human energy expenditure, (b) discuss the main determinants of energy expenditure, and (c) discuss the changes in energy expenditure throughout the human life course. Total daily energy expenditure is mainly composed of resting energy expenditure, physical activity energy expenditure, and the thermic effect of food. Total daily energy expenditure and its components are estimated using variations of the indirect calorimetry method. The relative contributions of organs and tissues determine the energy expenditure under different physiological conditions. Evidence shows that energy expenditure varies along the human life course, at least in part due to changes in body composition, the mass and specific metabolic rate of organs and tissues, and levels of physical activity. This information is crucial to estimate human energy requirements for maintaining health throughout the life course.

Nutrient Status and Intakes of Adults with Phenylketonuria.

A phenylalanine-restricted diet, supplemented with protein substitutes (PSs), remains the cornerstone of phenylketonuria (PKU) management. However, adherence is challenging in adulthood, and data on the nutritional status of early and continuously treated adults with PKU (ETAwPKU) are scarce. A total of 34 ETAwPKU (16 females; mean ± SD, age: 28 ± 9 years, phenylalanine concentration: 847 ± 285 µmol/L) and 34 age- and sex-matched control subjects were compared regarding their blood nutrient status, self-reported dietary intake, and cognitive wellbeing. Though diet adherence varied, all ETAwPKU were taking a PS. No significant differences were found for blood DHA, calcium, ferritin, transferrin, and zinc concentrations. However, selenium and ubiquinone concentrations were 16% and 29% lower in ETAwPKU, respectively (p < 0.01 and <0.0001). Vitamin concentrations (D, B12, B6, and folic acid) were significantly higher in ETAwPKU except for alpha-tocopherol. Amino acid (AA) concentrations differed between ETAwPKU and controls: they were significantly lower for 12 AAs and higher for phenylalanine and glycine. ETAwPKU had a significantly higher intake of most minerals and vitamins, except for niacin and phosphorus (no difference). Depending on the nutrient, PSs represented 52-100% of patients' daily intake and 19% of total daily energy intake. Compared with controls, ETAwPKU scored significantly lower in three of the four subscales of the cognitive wellbeing questionnaire. Overall, the blood DHA and micronutrient status of ETAwPKU was adequate, except for selenium, with higher intakes than controls for most micronutrients. Patients relied heavily on PSs to meet the recommended intakes for protein, DHA, and micronutrients. The potential clinical impact of differences found in AA status should be further studied.

Real-Time Monitoring of Photovoltaic Panel Using Node-RED

This research aims to design and implement an Internet of Things (IoT)-based monitoring system for Photovoltaic (PV) panels using Node-RED. The system can monitor critical parameters such as voltage, current, power, and the electrical energy produced by the PV panels in real-time. The data obtained from the PV panels is sent to a Node-RED server and visualized in the form of indicators and graphs on a dashboard. Statistical analysis calculates the daily average power and total energy produced. The results show that the proposed system can enhance monitoring efficiency and significantly benefit PV system maintenance and management. Users can quickly identify and address issues that may arise, such as panel performance degradation or system disruptions. Energy analysis and maintenance planning can be carried out by collecting historical data. This research supports the broader renewable energy development and provides an effective real-time PV system monitoring solution.

How do maternal socioeconomic and behavioral patterns affect oral health in early childhood?

A prospective longitudinal observational cohort study. The data analyzed were derived from a comprehensive observational study on BRISA prenatal cohort conducted in São Luís City, Brazil, between 2010 and 2013. A convenience sample included pregnant women recruited from both public and private prenatal health services in the city. To participate in the study, women needed to have undergone an obstetric ultrasound before the 20th week of pregnancy to estimate gestational age. Multiple pregnancies were excluded. Initially, the pregnant women were interviewed and assessed for oral health indicators between the 22nd and 25th weeks of pregnancy. A follow-up interview was conducted within 48 h after delivery. In the child's second year, the mothers were re-interviewed, and the children were examined for the second follow-up. The study received approval from the local ethics committee, and written informed consent was obtained from all participants. The research followed the STROBE guidelines for reporting observational studies. At baseline, a structured questionnaire was used to gather sociodemographic and lifestyle information like maternal age, family income, education level, occupation of the family head, pre-gestational BMI, alcohol and soft drink consumption, and smoking status during pregnancy. Dental examinations were conducted by 6 trained and calibrated dentists who assessed DMFT index and periodontal health indicators. In the second follow-up, children's oral health was evaluated using visible plaque index (VPI), gingival bleeding, and the modified dmft index. Children's weight and height were measured by a digital scale, and BMI z-scores were calculated based on WHO standards. Sugar-sweetened beverage intake was categorized by terciles based on the percentage of total daily energy from these beverages. Structural equation modeling (SEM) was used to analyze multiple pathways among a set of latent and observed variables. Three latent variables were proposed and measured: Socioeconomic Status and Periodontal Maternal Status in the mothers, and Chronic Oral Disease Burden (CODB) in the children. CODB was inferred from 3 observed indicators: VPI, gingival bleeding, and tooth decay. Total, direct, and indirect effects were calculated for variables from the gestational period and the child's second year of life. In total, 1141 mother-child dyads were included. Periodontal Maternal Status correlated with more decayed teeth in pregnant women (standardized coefficient (SC) = 0.089; p = 0.008). Addictive risk behaviors were highly correlated, with SCs of 0.679 (p < 0.001) for alcohol and smoking, and 0.262 (p < 0.001) for soft drink and alcohol consumption. Obesity (SC = 0.081; p = 0.048) and added sugar consumption (SC = 0.142; p = 0.040) were interconnected across generations from pregnant women to their offspring. Children's consumption of sugar was strongly associated with CODB (SC = 0.357; p = 0.005). Caries and periodontitis were correlated in pregnant women. Obesity and sugar consumption have intergenerational impacts. Early sugar intake relates to CODB in early childhood. Intergenerational behavioral risks affect oral health in the first 1000 days of life, influencing long-term health outcomes.