Cross-sectional relationship between dietary protein intake, energy intake and protein energy wasting in chronic kidney disease patients.

The potential threshold for dietary energy intake (DEI) that might prevent protein-energy wasting (PEW) in chronic kidney disease (CKD) is uncertain. The subjects were non-dialysis CKD patients aged ≥ 14 years who were hospitalised from September 2019 to July 2022. PEW was measured by subjective global assessment. DEI and dietary protein intake (DPI) were obtained by 3-d diet recalls. Patients were divided into adequate DEI group and inadequate DEI group according to DEI ≥ 30 or < 30 kcal/kg/d. Logistic regression analysis and restricted cubic spline were used in this study. We enrolled 409 patients, with 53·8 % had hypertension and 18·6 % had diabetes. The DEI and DPI were 27·63 (sd 5·79) kcal/kg/d and 1·00 (0·90, 1·20) g/kg/d, respectively. 69·2 % of participants are in the inadequate DEI group. Malnutrition occurred in 18·6 % of patients. Comparing with patients in the adequate DEI group, those in the inadequate DEI group had significantly lower total lymphocyte count, serum cholesterol and LDL-cholesterol and a higher prevalence of PEW. For every 1 kcal/kg/d increase in DEI, the incidence of PEW was reduced by 12·0 % (OR: 0·880, 95 % CI: 0·830, 0·933, P < 0·001). There was a nonlinear curve relationship between DEI and PEW (overall P < 0·001), and DEI ≥ 27·6 kcal/kg/d may have a preventive effect on PEW in CKD. Low DPI was also significantly associated with malnutrition, but not when DEI was adequate. Decreased energy intake may be a more important factor of PEW in CKD than protein intake.

Taste of Modern Diets: The Impact of Food Processing on Nutrient Sensing and Dietary Energy Intake.

BACKGROUND: Both fresh and processed foods are available in the modern food environment where taste can signal presence of nutrients. However, whether these taste-nutrient relationships are maintained across different degrees of food processing is not well understood, and less is known about the relative contribution of different taste qualities to population energy intakes. OBJECTIVES: To investigate the association between perceived intensity of 6 taste modalities and a food's nutrient content in the context of food processing and to further examine the relative contribution of different taste clusters to total energy intakes, stratified by weight status. METHODS: Diet and lifestyle data from the Singapore Multi-Ethnic Cohort Phase 2 (N = 7011; aged 21-75 y) were collected through interviewer-administrated questionnaires. Taste and nutrient profiles for each of the 269 Singaporean foods were derived using a published taste database and food composition table. Each food was then categorized into the NOVA food-processing classification (unprocessed, processed, ultra-processed) to compare the strength of taste-nutrient relationships. Multivariable-adjusted models were used to examine associations between relative consumption of foods from different taste clusters and processing categories, energy intake, and BMI (in kg/m2) within a population cohort. RESULTS: Sweet taste and mono- and disaccharide content of foods were significantly associated across all processing categories, although this association was weaker among ultra-processed foods (UPFs) (r = 0.42) than among unprocessed foods (r = 0.72). In contrast, associations between fat sensation and fat content (r = 0.74), as well as salt taste and sodium content (r = 0.84), were stronger for UPFs. Individuals who had higher energy intakes or were overweight (BMI >23) derived significantly greater percentage of energy from processed foods rather than UPFs, and this energy was higher from "savory-fatty" and lower from "neutral" tasting foods than those with lower energy intakes and normal weight (all P < 0.001). Eighty percent of individuals' dietary energy was from both "savory-fatty" and "neutral" foods, independent of differences in total energy intake and weight status. CONCLUSIONS: Taste-nutrient relationships are maintained across different degrees of food processing. Greater consumption of foods that have a high "savory-fatty" taste was associated with increased energy intakes and overweight in the Asian population.

The association between dietary energy intake and the risk of mortality in maintenance haemodialysis patients: a multi-centre prospective cohort study.

Maintenance haemodialysis (MHD) is the use of a machine to filter wastes, salts and fluid from blood for at least 3 months to prolong the life of patients with advanced kidney failure. Although low dietary energy intake (DEI) has been observed in MHD patients, few studies have related DEI to the risk of mortality. To explore this relationship, a study included 1039 MHD patients from eight centres was conducted. DEI was assessed by three 24-h diet recalls and was normalised to ideal body weight (IBW). All-cause mortality and CVD mortality were the primary and secondary outcomes, respectively. During a median follow-up of 28 months, a U-shaped relationship was observed between DEI and all-cause or CVD mortality. The risk of all-cause mortality decreased significantly with the increase of DEI in participants with DEI <167·4 kJ/kg IBW per d (hazard ratio (HR) 0·98; 95 % CI 0·96, 1·00) and increased significantly with the increase of DEI in those with DEI ≥167·4 kJ/kg IBW per d (HR 1·12; 95 % CI 1·04, 1·20). Similarly, the risk of CVD mortality decreased with the increase of DEI in participants with DEI <152·7 kJ/kg IBW per d (HR 0·96; 95 % CI 0·93, 0·99) and increased with the increase of DEI in participants with DEI ≥152·7 kJ/kg IBW per d (HR 1·11; 95 % CI 1·04, 1·18). In summary, there was a U-shaped association between DEI and all-cause or CVD mortality, with a turning point at about 167·4 and 152·7 kJ/kg IBW per d, respectively, in MHD patients.

Inadequate dietary energy intake associates with higher prevalence of metabolic syndrome in different groups of hemodialysis patients: a clinical observational study in multiple dialysis centers.

BACKGROUND: Metabolic syndrome (MetS) has been established as a risk for cardiovascular diseases and mortality in hemodialysis patients. Energy intake (EI) is an important nutritional therapy for preventing MetS. We examined the association of self-reported dietary EI with metabolic abnormalities and MetS among hemodialysis patients. METHODS: A cross-sectional study design was carried out from September 2013 to April 2017 in seven hemodialysis centers. Data were collected from 228 hemodialysis patients with acceptable EI report, 20 years old and above, underwent three hemodialysis sessions a week for at least past 3 months. Dietary EI was evaluated by a three-day dietary record, and confirmed by 24-h dietary recall. Body compositions were measured by bioelectrical impedance analysis. Biochemical data were analyzed using standard laboratory tests. The cut-off values of daily EI were 30 kcal/kg, and 35 kcal/kg for age ≥ 60 years and < 60 years, respectively. MetS was defined by the American Association of Clinical Endocrinologists (AACE-MetS), and Harmonizing Metabolic Syndrome (HMetS). Logistic regression models were utilized for examining the association between EI and MetS. Age, gender, physical activity, hemodialysis vintage, Charlson comorbidity index, high sensitive C-reactive protein, and interdialytic weight gains were adjusted in the multivariate analysis. RESULTS: The prevalence of inadequate EI, AACE-MetS, and HMetS were 60.5%, 63.2%, and 53.9%, respectively. Inadequate EI was related to higher proportion of metabolic abnormalities and MetS (p <  0.05). Results of the multivariate analysis shows that inadequate EI was significantly linked with higher prevalence of impaired fasting glucose (OR = 2.42, p <  0.01), overweight/obese (OR = 6.70, p <  0.001), elevated waist circumference (OR = 8.17, p <  0.001), AACE-MetS (OR = 2.26, p <  0.01), and HMetS (OR = 3.52, p <  0.01). In subgroup anslysis, inadequate EI strongly associated with AACE-MetS in groups of non-hypertension (OR = 4.09, p = 0.004), and non-cardiovascular diseases (OR = 2.59, p = 0.012), and with HMetS in all sub-groups of hypertension (OR = 2.59~ 5.33, p <  0.05), diabetic group (OR = 8.33, p = 0.003), and non-cardiovascular diseases (OR = 3.79, p <  0.001). CONCLUSIONS: Inadequate EI and MetS prevalence was high. Energy intake strongly determined MetS in different groups of hemodialysis patients.

[Association of dietary energy intake and energy density with gestational weight gain in Chengdu City].

OBJECTIVE: To determine the association of dietary energy intake and energy density( ED) with gestational weight gain among pregnant women in Chengdu. METHODS: A total of 503 pregnant women who took the prenatal examination in West China Second University Hospital were selected in the prospective study in 2015. ED, computed as the ratio of energy intake( kcal) per weight( g) of foods( kcal/g), was calculated using three methods as follows:( 1) ED1 included foods only, excluding all beverages;( 2) ED2 included foods and milk;( 3) ED3 included foods and beverages. Energy intake were calculated using dietary data respectively collected in the first, second and third trimester of pregnancy by validated 24-hour recalls, in which ED was calculated based on three calculation method. Data on gestational weight gain was calculated by using pre-pregnancy weight and prenatal weight. Excessive gestational weight gain was determined by the 2009 Institute of Medicine( IOM) recommendations for gestational weight gain. Logistic regression analyses were performed to explore the association of energy intake and ED with excessive gestational weight gain. RESULTS: The risk of excessive gestational weight gain was higher among pregnant women whose dietary energy intake during the third trimester of pregnancy was higher( OR = 1. 94, 95% CI 1. 18-3. 23). After adjusting for covariates, ED based on foods and milk during the third trimester of pregnancy was identified as a protect factor of excessive gestational weight gain( OR = 0. 56, 95% CI 0. 34-0. 93). Dietary energy intake and ED in the first and second trimester of pregnancy were not associated with excessive gestational weight gain after adjustment of all covariates. CONCLUSION: Dietary energy intake in the third trimester of pregnancy might be the risk factor of excessive gestational weight gain, while moderate ED may be the protect factor.

Interaction of protein intake and number of family members as a risk factor for chronic energy deficiency in women of childbearing age.

Background: Chronic Energy Deficiency (CED) is a condition in which the body is underweight or thin and the body has insufficient reserves of energy intake, this condition occurs due to a lack of nutrients. A person's condition can be said to be CED if the Mid-Upper Arm Circumference (MUAC) is low or < 23,5 cm. Women of Reproductive Age (WRA) who experience CED will have an impact on pregnancy. Based on the 2017 World Health Organization (WHO) the percentage of CED in pregnancy globally is 35-75% and deaths in developing countries related to CED are 40%. Methods: Research design Descriptive analytic cross-sectional approach. The population WRA with a population of 7,183 the sample being 143 WRA. The analysis is univariate, bivariate (Chi-square), and multivariate (Regression Logistic). Results: Found that the determinants of CED were factors affecting CED for WRA in the Kandang Health Center in Bengkulu City in 2023 are age (p-value = 0.018; ORa95% CI=2,495: 1.171-5.317), energy intake (p-value = 0.013; ORa95% CI = 2.990: 1.256-7.117), and the interaction of protein intake by several family members (p-value = 0.03; ORa 95%CI = 21.327: 1.343-338.671). The dominant factor is the interaction between protein intake and the number of family members. WRA with large families when protein intake is not enough risk 21 times to experience chronic lack of energy compared to adequate protein intake. Conclusions: Health workers need to make promotive and preventive efforts that can be done through community empowerment through health education about nutritional intake and family planning, so WRA understands about prevention of Chronic Energy Deficiency.

Dietary Energy Intake and Presence of Aberrant Crypt Foci Are Associated with Phospholipid, Purine, and Taurine Metabolite Abundances in C57BL/6N Mouse Colon.

SCOPE: Colon metabolomes associated with high-fat (H) versus energy-restricted (E) diets in early colorectal cancer (CRC) models have never been directly compared. The objectives of this study are to elucidate metabolites associated with diet, aberrant crypt foci (ACF), and diet:ACF interaction, using a lifetime murine model. METHODS AND RESULTS: Three-week-old mice consumed control (C), E, or H initiation diets for 18 weeks. ACF formation is initiated weeks 16-21 with azoxymethane injections, followed by progression diet crossover (to C, E, or H) through week 60. Colon extracts are analyzed using ultra-high-performance liquid chromatography-high resolution mass spectrometry (UHPLC-HRMS). Metabolites associated with diet, ACF, or diet:ACF are determined using regression models (FDR-adjusted p-value <0.05). No metabolites are significantly associated with initiation diets, but concentrations of acylcarnitines and phospholipids are associated with C, E, and H progression diets. Purines, taurine, and phospholipids are associated with ACF presence. No significant associations between metabolites and diet:ACF interaction are observed. CONCLUSIONS: These results suggest that recent, rather than early-life, diet is more closely associated with the colon metabolome, particularly lipid metabolism. Results from this study also provide candidate biomarkers of early CRC development and provide support for the importance of early diet on influencing pre-CRC risk.

Relationship between dietary energy intake, nutritional status and cardiovascular risk in adults from the communes of Quellón and Chonchi, Chiloé, Chile.

Introduction: Behavioural and metabolic risk factors are responsible for the greatest burden of disease; an unhealthy diet, along with abdominal obesity, are risk factors related to Non-communicable diseases (NCDs). Methods: Data concerning food patterns were determined by the application of an interview-type instrument, used to assess the daily and weekly frequency of consumption; cardiovascular risk was assessed using waist circumference, and nutritional status via Body Mass Index. Student's t test was applied to evaluate the differences between variables and the Pearson's chi-square test for the association of variables. Results: Dietary energy intake (kcal/capita/day) was 3000 kcal, with an average distribution of 12.2% (proteins), 46.9% (carbohydrates), and 40.9% (total fats). The 78% of the sample suffered from malnutrition by excess. About 37.5% had Non-Communicable Diseases, with high blood pressure being the most frequent disease among both genders, with the highest prevalence among women, along with diabetes mellitus and dyslipidaemia. Depending on the nutritional status, the presence of obesity is associated with high cardiovascular risk (p = 0.000), greater energy availability (p = 0.012), and an increased occurrence of non-communicable diseases (p = 0.004). Conclusions: Malnutrition by excess figures support the global alert for obesity and overweight, which are considered to be a pandemic; in addition, Chiloé is not immune to the increasing trend of processed and ultra-processed food consumption.

Gestational weight gain and dietary energy, iron, and choline intake predict severity of fetal alcohol growth restriction in a prospective birth cohort.

BACKGROUND: Animal models have demonstrated that maternal nutrition can alter fetal vulnerability to prenatal alcohol exposure (PAE). Few human studies have examined the role of nutrition in fetal alcohol spectrum disorders (FASD). OBJECTIVES: Our objectives were to examine whether fetal vulnerability to PAE-related growth restriction is modified by: 1) rate of gestational weight gain; or prenatal dietary intakes of 2) energy, 3) iron, or 4) choline. METHODS: In a prospective longitudinal birth cohort in Cape Town, South Africa, 118 heavy-drinking and 71 abstaining/light-drinking pregnant women were weighed and interviewed regarding demographics, alcohol, cigarette/other drug use, and diet at prenatal visits. Infant length, weight, and head circumference were measured at 2 wk and 12 mo postpartum. RESULTS: Heavy-drinking mothers reported a binge pattern of drinking [Mean = 129 mL (∼7.2 drinks)/occasion on 1.3 d/wk). Rate of gestational weight gain and average daily dietary energy, iron, and choline intakes were similar between heavy-drinking women and controls. In regression models adjusting for maternal age, socioeconomic status, cigarette use, and weeks gestation at delivery, PAE [ounces (30 mL) absolute alcohol per day] was related to smaller 2-wk length and head circumference and 12-mo length, weight, and head circumference z-scores (ß = -0.43 to -0.67; all P values <0.05). In stratified analyses for each maternal nutritional measure (inadequate compared with adequate weight gain; tertiles for dietary energy, iron, and choline intakes), PAE-related growth restriction was more severe in women with poorer nutrition, with effect modification seen by weight gain, energy, iron, and/or choline for several anthropometric outcomes. CONCLUSIONS: Gestational weight gain and dietary intakes of energy, choline, and iron appeared to modify fetal vulnerability to PAE-related growth restriction. These findings suggest a need for screening programs for pregnant women at higher risk of having a child with FASD to identify alcohol-using women who could benefit from nutritional interventions.

Energy Requirement for Elderly CKD Patients.

The correct management of energy intake is crucial in CKD (chronic kidney disease) patients to limit the risk of protein energy wasting especially during low-protein regimes, but also to prevent overweight/obesity. The aim of this study was to assess the energy requirement of older CKD patients using objective measurements. This cross-sectional study enrolled 67 patients (aged 60-86 years) with CKD stages 3-5 not on dialysis, all of whom were metabolically and nutritionally stable. All patients underwent indirect calorimetry and measurement of daily physical activity level expressed by the average daily Metabolic Equivalent Task, using an accelerometer, in order to measure total energy expenditure (mTEE). Estimated TEE (eTEE) was derived from predictive equations for resting energy expenditure and physical activity levels coefficients. The mTEE were lower than eTEE-based on Harris-Benedict or Schofield or Mifflin equations (1689 ± 523 vs. 2320 ± 434 or 2357 ± 410 or 2237 ± 375 Kcal, p < 0.001, respectively). On average mTEE was 36.5% lower than eTEE. When eTEE was recalculated using ideal body weight the gap between mTEE and eTEE was reduced to 26.3%. A high prevalence of a sedentary lifestyle and reduced physical capabilities were also detected. In conclusion, our data support the energy intake of 25-35 Kcal/Kg/d recently proposed by the NKF-KDOQI (National Kidney Foundation-Kidney Disease Improving Quality Initiative) guidelines on nutritional treatment of CKD, which seem to be more adequate and applicable than that of previous guidelines (30-35 Kcal/Kg/d) in elderly stable CKD patients with a sedentary lifestyle. According to our findings we believe that an energy intake even lower than 25 Kcal/Kg/d may be adequate in metabolically stable, elderly CKD patients with a sedentary lifestyle.

Defining barriers to implementation of nutritional advice in patients with cachexia.

BACKGROUND: Cancer cachexia is a multidimensional wasting syndrome and a reduced dietary intake is both common and strongly correlated with degree of weight loss. Many patients with cachexia do not achieve recommended dietary intake even after nutritional counselling. Prior reports suggest this is likely due to barrier symptoms, but other potential contributory factors have not been studied in detail. METHODS: Dietitian-assigned barriers to successful nutritional intervention were recorded at each visit in all patients attending a multidisciplinary clinic for management of cancer cachexia. The barriers were grouped into 15 categories and classified as either symptom-related or not symptom-related. In addition, symptom scores, dietary intake, and weight change were recorded. RESULTS: Data on 94 new patients showed that 89% of patients had at least one major barrier. Four of the five most common barriers and 65% of all barriers identified were not symptom-related. Over sequential visits the specific barrier(s) in any one patient changed approximately 50% of the time. However, the presence of barriers did not render patients refractory to nutritional intervention and with intervention from the CNR-JGH team, mean dietary intake increased significantly. CONCLUSIONS: In advanced cancer patients with cachexia, non-symptom-related barriers to nutritional intervention are more common than symptom-related. Barriers are dynamic, and repeated careful evaluation over time is required to achieve optimal impact with nutritional intervention in cancer cachexia. Members of the multidisciplinary team need appropriate expertise to address the barriers identified and achieve optimal results with nutritional intervention.

Combined Impact of a Faster Self-Reported Eating Rate and Higher Dietary Energy Intake Rate on Energy Intake and Adiposity.

Eating more quickly and consuming foods with a higher energy-intake-rate (EIR: kcal/min) is associated with greater energy intake and adiposity. However, it remains unclear whether individuals who eat more quickly are more likely to consume foods with higher EIR. We investigated the overlap between self-reported eating rate (SRER) and the consumption of higher EIR foods, and their combined impact on daily energy intake and adiposity in a population-based Asian cohort (n = 7011; 21-75y). Food consumption was assessed using a validated Food Frequency Questionnaire. Moderated regression with simple slope analysis was conducted to evaluate whether SRER modified the association between dietary EIR and total dietary energy intakes. Faster eaters consumed a significantly higher proportion of energy from higher EIR foods among overweight individuals, but not among normal-weight individuals. Associations between dietary EIR and total energy intake were stronger among medium (ß = 15.04, 95%CI: 13.00-17.08) and fast (ß = 15.69, 95%CI: 12.61-18.78) eaters, compared with slower eaters (ß = 9.89, 95%CI: 5.11-14.67; p-interaction = 0.032). Higher dietary EIR also tended to be more strongly associated with BMI in fast eaters (ß = 0.025, 95%CI: 0.011-0.038) than in slow eaters (ß = 0.017, 95%CI: -0.007-0.040). These findings suggest that the combination of eating more quickly and selecting a greater proportion of energy from higher EIR foods (i.e., softly textured, energy dense), promoted higher dietary energy intakes and adiposity.

Multicentric prospective study of effect of dietary intake on quality of life for patients with end-stage cancers.

OBJECTIVE: Impaired dietary intake (DI) contributes to deterioration of quality of life (QOL) in patients with end-stage diseases, including cancer, but the effects of DI on QOL specifically in terminal cancer has not been widely studied. Here, we evaluated the relationship between DI and QOL in patients with end-stage cancers. METHODS: We evaluated the energy amount of DI, performance status (PS) and QLQ-C15-PAL score of cancer patients with short prognoses in multicentre survey and analysed the parameters that influence QOL. RESULTS: We recruited 33 patients in this study. In univariate analysis, DI was significantly associated with PS (P=0.002, r=-0.531), physical functioning (P=0.003, r=-0.503), fatigue (P=0.038, r=-0.362), and appetite loss (P=0.004, r=-0.490). CONCLUSIONS: Improved DI could contribute to QOL of patients with end-stage cancers.

Drink Choice is Important: Beverages Make a Substantial Contribution to Energy, Sugar, Calcium and Vitamin C Intake among Australians.

It is important to understand the role of beverages in population dietary intake in order to give relevant advice. Population estimates were derived from one-day food recall dietary data from 12,153 participants in the 2011-2012 Australian National Nutrition and Physical Activity Survey. Almost all Australians (99.9%) consumed at least one beverage on the day of the survey, accounting for 16.6% of the total energy intake for adults (aged 19 years and over) and 13.0% for children (aged 2-18 years). Similarly, beverages contributed 26-29% to calcium intake, 22-28% to vitamin C intake, and 35-36% to sugar intake. Water was consumed on the day of the survey by 84.1% of Australian adults and 90.5% of children. For adults, the greatest beverage contributors to total energy intake were alcoholic drinks (5.6%), coffee (3.1%), and soft drinks (1.9%), and for children, plain milk (3.1%), flavoured milk (2.8%), and fruit juice (2.6%). Coffee (10.6%) made the greatest contribution to calcium intake for adults; and plain milk (9.9%) and flavoured milk (7.6%) for children. The greatest contributors to vitamin C intake were fruit juice (13.4%) and alcoholic drinks (6.1%) for adults; and fruit juice (23.4%) for children. For total sugar intake, soft drinks (8.0%), coffee (8.4%), and fruit juice (5.9%) made the highest contribution for adults; and fruit juice (9.8%) and soft drinks (8.7%) for children. The type and amount of beverage consumption has considerable relevance to dietary quality for Australians.

Urban-Rural Disparities in Energy Intake and Contribution of Fat and Animal Source Foods in Chinese Children Aged 4-17 Years.

OBJECTIVE: Excessive energy intake and poor food choices are major health concerns associated with overweight and obesity risk. This study aims to explore disparities in energy intake and the contributions from fat and animal source foods among Chinese school-aged children and adolescents in different communities based on urbanization levels. DESIGN: Three consecutive 24 h recalls were used to assess dietary intake. Subjects' height and weight were measured using standard equipment. Standardized questionnaires were used to collect household demographic and socioeconomic characteristics by trained interviewers. SETTING: The 2011 China Health and Nutrition Survey is part of an ongoing longitudinal household survey across 228 communities in nine provinces and three mega-cities in China. Subjects consisted of children aged 4-17 years (n = 1866; 968 boys and 898 girls). RESULTS: The estimated average energy intake was 1604 kcal/day (1706 kcal/day for boys and 1493 kcal/day for girls). Proportions of energy from fat and animal source foods were 36.8% and 19.8% respectively and did not differ by gender. Total energy intake showed no significant disparity, but the proportion of energy from fat and animal source foods increased with increasing urbanization levels and increasing household income level. The largest difference in consumption percentages between children in rural areas and those in highly urban areas was for milk and dairy products (14.8% versus 74.4%) and the smallest difference was seen in percent consuming meat and meat products (83.1% versus 97.1%). CONCLUSIONS: Results of this study highlight the need for developing and implementing community-specific strategies to improve Chinese children's diet quality.

Energy availability discriminates clinical menstrual status in exercising women.

BACKGROUND: Conditions of low energy availability (EA) (<30 kcal/kgLBM) have been associated with suppressed metabolic hormones and reductions in LH pulsatility in previously sedentary women during short-term manipulations of energy intake (EI) and exercise energy expenditure (EEE) in a controlled laboratory setting. The purpose of this study was to examine if EA, defined as EA = (EI-EEE)/kgLBM, is associated with disruptions in ovarian function in exercising women. METHODS: Menstrual status was confirmed with daily measures of urinary reproductive metabolites across 1-3 menstrual cycles or 28-day monitoring periods. EA was calculated for exercise days using EI from 3-day diet logs, EEE from heart-rate monitors and/or exercise logs for a 7-day period, and body composition from DXA. Resting energy expenditure (REE) was measured by indirect calorimetry. Total triiodothyronine (TT3) was measured from a fasting blood sample. RESULTS: 91 exercising women (23.1 ± 0.5 years) were categorized clinically as either exercising amenorrheic (ExAmen, n = 30), exercising oligomenorrheic (ExOligo, n = 20) or exercising eumenorrheic (ExEumen, n = 41). The eumenorrheic group was further divided into more specific subclinical groups as either exercising ovulatory (ExOv, n = 20), exercising inconsistent (ExIncon, n = 13), or exercising anovulatory (ExAnov, n = 8). An EA threshold of 30 kcal/kgLBM did not distinguish subclinical menstrual status (χ (2) = 0.557, p = 0.46) nor did EA differ across subclinical disturbance groups (p > 0.05). EA was lower in the ExAmen vs. ExEumen (30.9 ± 2.4 vs. 36.9 ± 1.7 kcal/kgLBM, p = 0.04). The ratio of REE/predicted REE was lower in the ExAmen vs. ExEumen (0.85 ± 0.02 vs. 0.92 ± 0.01, p = 0.001) as was TT3 (79.6 ± 4.1 vs. 95.3 ± 2.9 ng/mL, p = 0.002). CONCLUSIONS: EA did not differ among subclinical forms of menstrual disturbances in a large sample of exercising women, but EA did discriminate clinical menstrual status, i.e., amenorrhea from eumenorrhea.