Delay in Treatment After Cancer Diagnosis in Adolescents and Young Adults: Does Facility Transfer Matter?

Background: Timeliness is one of the fundamental yet understudied quality metrics of cancer care. Little is known about cancer treatment delay among adolescent and young adult (AYA) cancer patients. This study assessed cancer treatment delay, with a specific focus on facility transfer and diagnosis/treatment interval. Methods: Based on MultiCare Health System's (MHS's) institutional cancer registry data of AYA patients diagnosed during 2006-2015, this study analyzed patient demographics, insurance, clinical characteristics, and time of diagnosis and treatment initiation. Chi-squared tests, cumulative hazard estimates, and Cox proportional regression were used for univariable analysis. Multivariate regression models were used to test the association between care transfer and days of interval or prolonged delay, controlling for baseline parameters. Results: Of 840 analytic AYA cases identified, 457 (54.5%) were both diagnosed and treated within MHS. A total of 45.5% were either diagnosed or treated elsewhere. Mean and median intervals for treatment initiation were 27.03 (95% CI = 21.94-33.14) and 8.00 days (95% CI = 5.00-11.00), respectively, with significant differences between patients with and without facility transfer. Transfer was significantly correlated with longer length of diagnosis-to-treatment interval. Treatment delay, ≥1 week, was associated with transfer, female sex, older age, no surgery involvement, and more treatment modalities. Treatment delay, ≥4 weeks, was associated with transfer, female sex, no insurance, and no surgery involvement. Conclusion: In a community care setting, the diagnosis-to-treatment interval is significantly longer for transferred AYA cancer patients than for patients without a transfer. Future studies are warranted to explore the prognostic implications and the reasons for delays within specific cancer types.

Telehealth Coaching: Impact on Dietary and Physical Activity Contributions to Bone Health During a Military Deployment.

PURPOSE: To examine the difference in bone health and body composition via blood biomarkers, bone mineral density, anthropometrics and dietary intake following deployment to Afghanistan among soldiers randomized to receive telehealth coaching promoting nutrition and exercise. METHODS: This was a prospective, longitudinal, cluster-randomized, controlled trial with repeated measures in 234 soldiers. Measures included heel bone scan for bone mineral density, blood biomarkers for bone formation, resorption, and turnover, body composition via Futrex, resting metabolic rate via MedGem, physical activity using the Baecke Habitual Physical Activity Questionnaire, and dietary intake obtained from the Block Food Frequency Questionnaire. RESULTS: There were significant increases in body fat (p = 0.00035), osteocalcin (0.0152), and sports index (p = 0.0152) for the telehealth group. No other statistically significant differences were observed between groups. Vitamin D intake among soldiers was ≤ 35% of the suggested Dietary Reference Intakes for age. CONCLUSIONS: A 9-month deployment to Afghanistan increased body fat, bone turnover, and physical activity among soldiers randomized to receive telehealth strategies to build bone with nutrition and exercise.

Thiamin in Clinical Practice.

Thiamin is a water-soluble vitamin also known as vitamin B1. Its biologically active form, thiamin pyrophosphate (TPP), is a cofactor in macronutrient metabolism. In addition to its coenzyme roles, TPP plays a role in nerve structure and function as well as brain metabolism. Signs and symptoms of thiamin deficiency (TD) include lactic acidosis, peripheral neuropathy, ataxia, and ocular changes (eg, nystagmus). More advanced symptoms include confabulation and memory loss and/or psychosis, resulting in Wernicke's encephalopathy and/or Wernicke's Korsakoff syndrome, respectively. The nutrition support clinician should be aware of patients who may be at risk for TD. Risk factors include those patients with malnutrition due to 1 or more nutrition-related etiologies: decreased nutrient intake, increased nutrient losses, or impaired nutrient absorption. Clinical scenarios such as unexplained heart failure or lactic acidosis, renal failure with dialysis, alcoholism, starvation, hyperemesis gravidarum, or bariatric surgery may increase the risk for TD. Patients who are critically ill and require nutrition support may also be at risk for TD, especially those who are given intravenous dextrose void of thiamin repletion. Furthermore, understanding thiamin's role as a potential therapeutic agent for diabetes, some inborn errors of metabolism, and neurodegenerative diseases warrants further research. This tutorial describes the absorption, digestion, and metabolism of thiamin. Issues pertaining to thiamin in clinical practice will be described, and evidence-based practice suggestions for the prevention and treatment of TD will be discussed.

A case of refeeding syndrome in a marine recruit.

Refeeding syndrome is an under-recognized complication of starvation. Presented is a 26-year-old Marine recruit who was found to have hypothermia, mental status changes, and rhabdomyolysis after purposeful weight loss with calorie restriction in conjunction with an arduous exercise program. With rest and food, the patient developed refeeding syndrome, with hypophosphatemia requiring prolonged intravenous replacement. His case is unique in illustrating both malnutrition and refeeding syndrome in someone who appeared to be healthy and was exercising strenuously up to the point of hospital admission.

Aerobic exercise improves cognition for older adults with glucose intolerance, a risk factor for Alzheimer's disease.

Impaired glucose regulation is a defining characteristic of type 2 diabetes mellitus (T2DM) pathology and has been linked to increased risk of cognitive impairment and dementia. Although the benefits of aerobic exercise for physical health are well-documented, exercise effects on cognition have not been examined for older adults with poor glucose regulation associated with prediabetes and early T2DM. Using a randomized controlled design, twenty-eight adults (57-83 y old) meeting 2-h tolerance test criteria for glucose intolerance completed 6 months of aerobic exercise or stretching, which served as the control. The primary cognitive outcomes included measures of executive function (Trails B, Task Switching, Stroop, Self-ordered Pointing Test, and Verbal Fluency). Other outcomes included memory performance (Story Recall, List Learning), measures of cardiorespiratory fitness obtained via maximal-graded exercise treadmill test, glucose disposal during hyperinsulinemic-euglycemic clamp, body fat, and fasting plasma levels of insulin, cortisol, brain-derived neurotrophic factor, insulin-like growth factor-1, amyloid-ß (Aß40 and Aß42). Six months of aerobic exercise improved executive function (MANCOVA, p=0.04), cardiorespiratory fitness (MANOVA, p=0.03), and insulin sensitivity (p=0.05). Across all subjects, 6-month changes in cardiorespiratory fitness and insulin sensitivity were positively correlated (p=0.01). For Aß42, plasma levels tended to decrease for the aerobic group relative to controls (p=0.07). The results of our study using rigorous controlled methodology suggest a cognition-enhancing effect of aerobic exercise for older glucose intolerant adults. Although replication in a larger sample is needed, our findings potentially have important therapeutic implications for a growing number of adults at increased risk of cognitive decline.

Effects of aerobic exercise on mild cognitive impairment: a controlled trial.

OBJECTIVES: To examine the effects of aerobic exercise on cognition and other biomarkers associated with Alzheimer disease pathology for older adults with mild cognitive impairment, and assess the role of sex as a predictor of response. DESIGN: Six-month, randomized, controlled, clinical trial. SETTING: Veterans Affairs Puget Sound Health Care System clinical research unit. PARTICIPANTS: Thirty-three adults (17 women) with amnestic mild cognitive impairment ranging in age from 55 to 85 years (mean age, 70 years). Intervention Participants were randomized either to a high-intensity aerobic exercise or stretching control group. The aerobic group exercised under the supervision of a fitness trainer at 75% to 85% of heart rate reserve for 45 to 60 min/d, 4 d/wk for 6 months. The control group carried out supervised stretching activities according to the same schedule but maintained their heart rate at or below 50% of their heart rate reserve. Before and after the study, glucometabolic and treadmill tests were performed and fat distribution was assessed using dual-energy x-ray absorptiometry. At baseline, month 3, and month 6, blood was collected for assay and cognitive tests were administered. MAIN OUTCOME MEASURES: Performance measures on Symbol-Digit Modalities, Verbal Fluency, Stroop, Trails B, Task Switching, Story Recall, and List Learning. Fasting plasma levels of insulin, cortisol, brain-derived neurotrophic factor, insulinlike growth factor-I, and beta-amyloids 40 and 42. RESULTS: Six months of high-intensity aerobic exercise had sex-specific effects on cognition, glucose metabolism, and hypothalamic-pituitary-adrenal axis and trophic activity despite comparable gains in cardiorespiratory fitness and body fat reduction. For women, aerobic exercise improved performance on multiple tests of executive function, increased glucose disposal during the metabolic clamp, and reduced fasting plasma levels of insulin, cortisol, and brain-derived neurotrophic factor. For men, aerobic exercise increased plasma levels of insulinlike growth factor I and had a favorable effect only on Trails B performance. CONCLUSIONS: This study provides support, using rigorous controlled methodology, for a potent nonpharmacologic intervention that improves executive control processes for older women at high risk of cognitive decline. Moreover, our results suggest that a sex bias in cognitive response may relate to sex-based differences in glucometabolic and hypothalamic-pituitary-adrenal axis responses to aerobic exercise.

Modifications to the Healthy Eating Index and its ability to predict obesity: the Multi-Ethnic Study of Atherosclerosis.

BACKGROUND: The Healthy Eating Index (HEI) is a measure of diet quality developed based on the Dietary Guidelines for Americans (DGA). OBJECTIVE: The objective was to assess the diet quality of a multi-ethnic population using and comparing the 2 HEIs, the updated HEI (HEI-05) based on the 2005 DGA and the original 1990 HEI (HEI-90), with the objective of predicting obesity outcomes. DESIGN: A longitudinal analysis of survey and clinical data from 6236 middle-aged and elderly white, African American, Hispanic, and Chinese participants of the Multi-Ethnic Study of Atherosclerosis (MESA) was conducted. Baseline diet quality was assessed with the use of HEI-90 and HEI-05. Baseline and 18-mo follow-up body mass index (BMI) and waist circumference (WC) data were predicted by using z score multiple regression models, and categorical obesity status was predicted by using multinomial logistic regression. RESULTS: Overall, the HEI-05 had larger z score beta coefficients than did the HEI-90 (eg, in whites, -0.53 compared with -0.48 in baseline BMI, -0.54 compared with -0.47 in follow-up BMI, -1.67 compared with -1.56 in baseline WC, and -1.57 compared with -1.44 in follow-up WC). Among whites only, both HEIs were significant predictors of BMI and WC (all P < 0.001). The odds of being obese rather than normal weight were inversely related to HEI z scores primarily in whites (P < 0.05). CONCLUSIONS: The changes to the 2005 DGA, as reflected by HEI-05, appear to better predict obesity outcomes in this multi-ethnic population, primarily in whites. Additional research on ethnic-specific DGA adherence and its relation to health outcomes is needed.

A practical method for collecting 3-day food records in a large cohort.

BACKGROUND: Recent studies suggest that diet records are more valid measures of nutrient intake than are food-frequency questionnaires. However, food records are considered unsuitable for large studies due to the need to train participants and to review and correct completed records. METHODS: We evaluated a self-administered 3-day food record protocol in Washington State. One hundred men and women age 50-76 years were mailed a food record and serving-size booklet. Sixty-five people returned a completed food record and were subsequently interviewed to obtain missing information. The food records were analyzed with and without added information from the interview. RESULTS: The most common error was incomplete description, which affected 8% of recorded foods. Differences in mean nutrient intake between the uncorrected and corrected records were within 5%, and nutrient estimates from the 2 methods were highly correlated. CONCLUSIONS: This streamlined protocol yielded data comparable to those collected by more burdensome protocols, suggesting that the use of food records may be feasible in large cohort studies.

A comprehensive examination of health conditions associated with obesity in older adults.

BACKGROUND: Over 70% of older adults in the United States are overweight or obese. To examine the overall health burden of obesity in older adults, the Vitamins and Lifestyle cohort study of western Washington State recruited 73,003 adults aged 50 to 76 who completed a self-administered questionnaire on current height and weight, medical history, and risk factors. METHODS: Cross-sectional analysis of body mass index (BMI) and health conditions was performed using data collected in 2000 to 2002. Participants were categorized as normal weight, overweight, obese I, or obese II/III using BMI cut-points. Health conditions included 7 serious diseases, 2 conditions associated with cardiovascular disease risk, 23 medical conditions, and 11 health complaints. Odds ratios (ORs) from logistic regression models were used to examine associations of the four BMI categories with each health condition. Analyses were gender stratified and adjusted for age, education, race/ethnicity, and smoking status. RESULTS: Among women, 34% were overweight, 16% in the obese I category, and 10% in obese categories II/III. Among men, 49% were overweight, 18% in the obese I category, and 6% in obese categories II/III. Overall, 37 of 41 conditions examined for women and 29 of 41 conditions examined for men were associated with increased levels of BMI (trend p <0.05 for all models). For women and men, respectively, the highest ORs comparing obese II/III to normal weight were diabetes (OR=12.5 and 8.3), knee replacement (OR=11.7 and 6.1), and hypertension (OR=5.4 and 5.6). Obesity also increased the odds of several rare diseases such as pancreatitis (OR=1.9 and 1.5) and health complaints such as chronic fatigue (OR=3.7 and 3.5) and insomnia (OR=3.5 and 3.1). CONCLUSIONS: A broad range of diseases and health complaints are associated with obesity. Clinicians should be aware of the diverse ways in which being overweight or obese may affect the health of their patients when counseling them about weight loss.

Macronutrient considerations for the sport of bodybuilding.

Participants in the sport of bodybuilding are judged by appearance rather than performance. In this respect, increased muscle size and definition are critical elements of success. The purpose of this review is to evaluate the literature and provide recommendations regarding macronutrient intake during both 'off-season' and 'pre-contest' phases. Body builders attempt to increase muscle mass during the off-season (no competitive events), which may be the great majority of the year. During the off-season, it is advantageous for the bodybuilder to be in positive energy balance so that extra energy is available for muscle anabolism. Additionally, during the off-season, adequate protein must be available to provide amino acids for protein synthesis. For 6-12 weeks prior to competition, body builders attempt to retain muscle mass and reduce body fat to very low levels. During the pre-contest phase, the bodybuilder should be in negative energy balance so that body fat can be oxidised. Furthermore, during the pre-contest phase, protein intake must be adequate to maintain muscle mass. There is evidence that a relatively high protein intake (approximately 30% of energy intake) will reduce lean mass loss relative to a lower protein intake (approximately 15% of energy intake) during energy restriction. The higher protein intake will also provide a relatively large thermic effect that may aid in reducing body fat. In both the off-season and pre-contest phases, adequate dietary carbohydrate should be ingested (55-60% of total energy intake) so that training intensity can be maintained. Excess dietary saturated fat can exacerbate coronary artery disease; however, low-fat diets result in a reduction in circulating testosterone. Thus, we suggest dietary fats comprise 15-20% of the body builders' off-season and pre-contest diets. Consumption of protein/amino acids and carbohydrate immediately before and after training sessions may augment protein synthesis, muscle glycogen resynthesis and reduce protein degradation. The optimal rate of carbohydrate ingested immediately after a training session should be 1.2 g/kg/hour at 30-minute intervals for 4 hours and the carbohydrate should be of high glycaemic index. In summary, the composition of diets for body builders should be 55-60% carbohydrate, 25-30% protein and 15-20% of fat, for both the off-season and pre-contest phases. During the off-season the diet should be slightly hyperenergetic (approximately 15% increase in energy intake) and during the pre-contest phase the diet should be hypoenergetic (approximately 15% decrease in energy intake).