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Purpose: Although recommendations for effective heat acclimation (HA) strategies for many circumstances exist, best-practice HA protocols specific to elite female team-sport athletes are yet to be established. Therefore, the authors aimed to investigate the effectiveness and retention of a passive HA protocol integrated in a female Olympic rugby sevens team training program. Methods: Twelve elite female rugby sevens athletes undertook 10 days of passive HA across 2 training weeks. Tympanic temperature (TTymp), sweat loss, heart rate, and repeated 6-second cycling sprint performance were assessed using a sport-specific heat stress test Pre-HA, after 3 days (Mid-HA), after 10 days (Post-HA), and 15 days post-HA (Decay). Results: Compared with Pre-HA, submaximal TTymp was lower Mid-HA and Post-HA (both by −0.2 [0.7] °C; d ≥ 0.71), while resting TTymp was lower Post-HA (by −0.3 [0.2] °C; d = 0.81). There were no differences in TTymp at Decay compared with Pre-HA, nor were there any differences in heart rate or sweat loss at any time points. Mean peak 6-second power output improved Mid-HA and Post-HA (76 [36] W; 75 [34] W, respectively; d ≥ 0.45) compared with Pre-HA. The observed performance improvement persisted at Decay by 65 (45) W (d = 0.41). Conclusions: Ten days of passive HA can elicit some thermoregulatory and performance benefits when integrated into a training program in elite female team-sport athletes. However, such a protocol does not provide a sufficient thermal impulse for thermoregulatory adaptations to be retained after 15 days with no further heat stimulus.

Purpose Dietary analysis is an important part of the sports nutrition practitioners’ role, however the ability to accurately collect and analyze dietary intake data is questionable. The remote food photography method (RFPM) has been proposed as a low-burden and potentially valid approach to collecting and interpreting dietary intake data. Preliminary research suggests that this is valid in some athletic populations, however the ecological validation in real-life settings warrants further investigation. Methods Twenty athletic individuals completed simultaneous three-day RFPM diaries and weighed food diaries for the analysis of energy, protein, carbohydrate, and fat. Participants were required to provide details alongside provided photographs that did not include food weights to allow for the estimation of nutrient intake from minimally invasive photographs and descriptions. Results RFPM demonstrated non-significant random and systematic error against the weighed food diary for energy, protein, carbohydrate, and fat at − 20.0 ± 455.5 kcal, − 2.9 ± 34.6 g, − 12.4 ± 49.3 g and 2.3 ± 26.8 g, respectively. Coefficient of variation suggest acceptable agreement between RFPM and weighed food diary for energy and poor agreement for protein, carbohydrate, and fat. Considerable variability is observed in the individual calculated values, with the least and greatest difference being 0% and − 83.0%, respectively. Conclusion The results indicate that the RFPM may be an ecologically valid tool for the collection and analysis of dietary intake data on a group level; on an individual basis, data and subsequent recommendations based on this method must be applied with caution.

Aim: To highlight energy availability status, resting metabolic rate measures, dietary protein intake, and testosterone concentration in 4 elite male track cycling athletes (mean [SD]: age: 20.8 [1.5] y, body mass: 76.3 [3.6] kg, height: 181.8 [2.9] cm). Method: A cross-sectional observation included measures of energy availability (energy intake minus exercise energy expenditure, divided by fat-free mass), resting metabolic rate from indirect calorimetry, dietary protein intake from food records, blood analysis to assess sex hormone status, and performance markers. Results: Midrange testosterone (16.9–19.8 nmol/L), lowered resting metabolic rate ratio (0.76–0.98), varied luteinizing hormone (4–10 U/L), and suboptimal energy availability (26–41 kcal/kg fat-free mass/d, range) were observed in the male track cyclists. Protein intakes ranged from 2.0 g to 2.8 g protein/kg/d. Conclusion: The current cohort may have within-day energy deficiency, putting them in a catabolic state.

This article explores the socio-cultural dimensions of elite sportswomen’s experiences of low energy availability (LEA), focusing particularly on elite track cyclists. With a multidisciplinary research team (two sport scientists and a feminist sociologist), the project began with a suite of quantitative measures that identified five of eight women track cycling athletes categorized with LEA and three athletes categorized with sub-optimal energy availability. This was then followed by semi-structured interviews that revealed the athletes’ complex relationships with body image, menstruation, and nutrition practices, and varied experiences of LEA. Bringing the qualitative data into dialogue with the previously collated physiological data, however, helped us acknowledge the silences and deflection strategies among those with more severe cases of LEA. Ultimately, this article offers original insights both into elite track cyclists’ understandings of body image, menstruation, and nutrition as associated with LEA, and important reflections on the challenges of doing interviews with sportswomen on sensitive topics in high-performance sporting environments.

Iron deficiency is a common nutrient deficiency within athletes, with sport scientists and medical professionals recognizing that athletes require regular monitoring of their iron status during intense training periods. Revised considerations for athlete iron screening and monitoring have suggested that males get screened biannually during heavy training periods and females require screening biannually or quarterly, depending on their previous history of iron deficiency. The prevalence of iron deficiency in female athletes is higher than their male counterparts and is often cited as being a result of the presence of a menstrual cycle in the premenopausal years. This review has sought to revise our current understanding of female physiology and the interaction between primary reproductive hormones (oestrogen and progesterone) and iron homoeostasis in females. The review highlights an apparent symbiotic relationship between iron metabolism and the menstrual cycle that requires additional research as well as identifying areas of the menstrual cycle that may be primed for nutritional iron supplementation.

Research conducted on exercise in the heat has been largely conducted in males, leaving women understudied. Of research including women, results are inconsistent on the impact of menstrual cycle phase on thermoregulation. Objectives The purpose of this systematic review is to quantify published investigations in thermal physiology that include menstrual cycle comparisons and assess aggregate data of investigations that include menstrual cycle variation and aerobic exercise in the heat. Methods 367 research articles were identified via systematic review and inclusion criteria and yielded 9 papers included in this analysis for a total number of 83 research subjects. Effect size estimates (Hedge's g) were utilized for initial (pre-exercise) and post-exercise internal body temperature (rectal or esophageal, Tint), sweat rate, mean skin temperature, and exercise heart rate. Results Pooled effect size showed significantly greater initial Tint (1.231 ± 0.186, p Conclusions The limited available data suggest that observed increases in initial Tint in the luteal phase are maintained throughout and post-exercise without an observed impact in sweat rate or mean skin temperature.

Most of the low energy availability (LEA) research has been conducted in female populations. The occurrence of LEA in male athletes is not well known, even with an understanding of the components involved in and contributing to LEA. Cycling is a major risk factor for LEA due to inherent sports characteristics: low impact, high energy demands, and a common perception that leanness is a performance advantage. The purpose of this review is to discuss the cycling-specific studies that have documented components of RED-S. The review demonstrates male cyclists (1) experience energy deficits daily, weekly and throughout a season; (2) exhibit lower bone mineral density at the spine compared to the hip, and low bone mineral density correlating with LEA and; (3) demonstrate downregulation of the endocrine system with elevated cortisol, reduced testosterone and insulin-like growth factor 1. The complexity of LEA is further explored by the socio-psychological contribution that may impact eating behaviours, and therefore increase the risk of developing LEA. Future research directions include applying multifaceted research methods to gain a greater understanding of this syndrome and the effect of LEA on male cyclists.

This paper engages with new materialist theory to reimagine transdisciplinary health research. In particular, we draw upon Karen Barad’s theory of agential realism and concept of apparatus to rethink the processes of doing transdisciplinary research. A Baradian inspired approach to transdisciplinarity encourages us to not only explore ways of knowing health phenomena differently by working across disciplines, but also to pay close attention to the politics and practices in such research. We offer a case study based on a two-year transdisciplinary research project focused on the health condition known as Low Energy Availability (LEA) in sportswomen. Through this case we highlight three key ways that Barad’s concept of apparatus helped us know transdisciplinarity differently: (1) Reading disciplines through each other, (2) Intra-actions and the everyday performativity of disciplinary boundaries, and (3) Troubling the boundaries of the apparatus. Ultimately this paper illustrates the value in feminist new materialist conceptual tools for encouraging different questions of transdisciplinary research as ethico-onto-epistemological practices, processes, and politics of knowledge production.

To date most of the research surrounding low energy availability (LEA) and female athletes has focused on the high prevalence rates (2-77%). Despite the severe negative health and performance consequences, awareness of this issue is low. There are potentially a multitude of factors which con

Background: While iron deficiency is commonly discussed in populations of professional female athletes, less is known about highly trained, sub-elite female athletes (e.g., those winning international age-group competitions) who generally have less access to medical and allied health support. Methods: Thirteen non-professional highly trained female endurance athletes provided training diaries and completed a blood test, where iron markers of haemoglobin (Hb), haematocrit (Hct), C-reactive protein (Crp), serum iron, serum ferritin, and transferrin were assessed. Resting metabolic rate (RMR) and body composition using dual-energy X-ray absorptiometry (DXA) were also obtained. Participants were classified as iron deficient (ID) if serum ferritin was

Provincial academies represent an important bridge between amateur and professional level rugby union in New Zealand. Athletes are provided with professional-level coaching; however, limited direct nutrition support is available. Congested training schedules and the requirement to work or study due to a lack of financial support may present a challenge towards athletes meeting nutrition requirements. The aim of the study was to facilitate improvement in nutrient intake, body composition and subjective well-being in provincial academy athletes via the implementation of a nutrition-support protocol based around behaviour change techniques. Significant increases in total energy (pre: 2492 ± 762 kcal; post: 2614 ± 625 kcal), relative energy (pre: 24.4 ± 7.5 kcal·kg; 25.5 ± 6.0 kcal·kg), total protein (pre: 131.1 ± 41.8 g; 153.8 ± 37.1 g) and relative protein (pre: 1.3 ± 0.4 g·kg; post: 1.5 ± 0.3 g·kg) were observed. Furthermore, changes in subjective sleep quality, stress, mood and upper body soreness were observed following the intervention. No changes were observed in body composition, carbohydrate or fat intake. Significant variability in nutrition and body composition changes highlights the importance of applying an individualised approach to nutrition support provision in developmental athletes. Practitioners working within these environments should be aware of the challenges and influences contributing to athletes’ nutrition choices and habits.

This study compared criterion to minimally invasive, practical measures of core (Tc) and skin (Tsk) temperature during 30 min of moderate-intensity cycle exercise in a heat chamber (35°C, 6...

Background: Muscle adaptations are potentially enhanced through resistance training in elevated environmental temperatures (>30°C) due to upregulated anabolic hormonal responses. Method: Eighteen p...

Menstrual disorders are frequent in female athletes, especially those participating at the elite level. Factors which may contribute to impaired ovarian function in athletes include high training volumes, eating disorders and/or low body weight, which in turn may interrupt GnRH signaling. Hormonal contraception may disguise underlying menstrual disorders, and athlete use of such approaches is common, despite limited data on whether hormonal control has positive, neutral or negative effects on athletic performance. To determine the prevalence of hormonal contraceptive use, as well as the prevalence of menstrual disorders, in New Zealand elite female athletes, we completed a national internet-based survey of 219 participants being supported by High Performance Sport New Zealand. The survey aimed to characterize the demographics, health and athletic performance history, the training load and contraceptive use. We found that athletes were training intensely, with 38% reporting training volumes of >70 hours/month. At the youngest age represented (15-19 years), 72% had been in competitive sports for more than 5 years, suggesting a young gynecological age is represented by the cohort. More than half (58%, 127/219) of the surveyed athletes reported diagnosed illness or injuries. Stress fractures (39% 50/127), concussion (31%, 39/127) and asthma (26%, 33/127) were the most common diagnoses, followed by oligo/amenorrhea (20%, 26/127), reduced energy deficit syndrome (9%, 17/194), endometriosis (8%, 16/194), and polycystic ovary syndrome (5%, 9/194). Oligomenorrhea was significantly associated with stress fracture (p=0.018) and disordered eating (p=0.009). More than 50% of athletes tracked their menstrual cycle, and self-reporting showed even higher rates of oligo/amenorrhea 37% (29/79) in athletes not using hormonal contraception. Self-reporting also indicated a high prevalence of other menstrual disorders including delayed menarche (21%,43/207), menorrhagia (30%, 60/203), and dysmenorrhea (32%, 66/203). In athletes reporting menorrhagia, there was a significant association with iron deficiency (p=0.026). Of the 219 athletes, 37% were currently using hormonal contraception, of which the oral combined pill was the most popular (64%). The most commonly cited reason for hormonal contraception was birth control, however athletes used hormonal control to manipulate either the frequency (38%) or the symptoms (29%) of menstruation, particularly around competition. The data clearly suggests that there is likely to be significant undiagnosed gynecological pathology in elite female athletes. Hormonal contraception can mask gynecological health issues and themselves can lead to side effects that affect performance. It remains that health issues, especially those related to gynecological health, need to be considered by athletes, their coaches and medical support staff.

New findings What is the topic of this review? We review methodological considerations for the inclusion of women in sex and menstrual cycle phase comparison studies. What advances does it highlight? Improving the methodological design for studies exploring sex differences, menstrual cycle phase differences and/or endogenous versus exogenous female sex hormones will help to close the gap in our understanding of the effects of endogenous and exogenous hormones on exercise science and sports medicine outcomes. Abstract In recent years, the increase in scientific literature exploring sex differences has been beneficial to both clinicians and allied health science professionals, although female athletes are still significantly under-represented in sport and exercise science research. Women have faced exclusion throughout history though the complexities of sociocultural marginalization and biomedical disinterest in women's health. These complexities have contributed to challenges of studying women and examining sex differences. One underlying complexity to methodological design may be hormonal perturbations of the menstrual cycle. The biphasic responses of oestrogen and progesterone across the menstrual cycle significantly influence physiological responses, which contribute to exercise capacity and adaptation in women. Moreover, oral contraceptives add complexity through the introduction of varying concentrations of circulating exogenous oestrogen and progesterone, which may moderate physiological adaptations to exercise in a different manner to endogenous ovarian hormones. Thus, applied sport and exercise science research focusing on women remains limited, in part, by poor methodological design that does not define reproductive status. By highlighting specific differences between phases with regard to hormone perturbations and the systems that are affected, methodological inconsistencies can be reduced, thereby improving scientific design that will enable focused research on female athletes in sports science and evaluation of sex differences in responses to exercise. The aims of this review are to highlight the differences between endogenous and exogenous hormone profiles across a standard 28-32 day menstrual cycle, with the goal to improve methodological design for studies exploring sex differences, menstrual cycle phase differences and/or endogenous versus exogenous female sex hormones.

BACKGROUND Iron deficiency is a common deficiency disease worldwide with athletes at increased risk. METHODS A proposed new mechanism of exercise-induced iron deficiency in athletes involves the iron-regulatory hormone hepcidin, however, there is limited information on this amongst elite athletes. This study describes iron status in elite female rugby Sevens players. RESULTS Blood samples were collected at the start and mid-season and analyzed for serum iron, serum ferritin (SF), soluble transferring receptor (sTfR), high sensitivity C-reactive Protein (hsCRP) and hepcidin. Of the 17 players 18% were iron deficient (SF

IntroductionAs the number of female athletes competing rises globally, training methodologies should reflect sex differences across critical metrics of adaptation to training. Surrogate markers of the autonomic nervous system (ANS) used for monitoring training load are heart rate variability (HRV) and resting heart rate (RHR). The aim was to investigate ovarian hormone effects on standard recovery metrics (HRV, RHR, respiratory rate (RR) and sleep duration) across a large population of female athletes.MethodsA retrospective study analysed 362 852 days of data representing 13 535 menstrual cycles (MC) from 4594 respondents (natural MC n=3870, BC n=455, progestin-only n=269) for relationships and/or differences between endogenous and exogenous ovarian hormones on ANS.ResultsHRV and return to baseline (recovery) decreased as resting HR and RR increased (pConclusionThe patterning of ANS modulation from ovarian hormones is significantly different between naturally cycling women and those on BC, with the patterning dependent on the type of contraception used.

The aim of the current study was to; 1) assess the test-retest reliability of an indirect calorimetry analyzer (Parvo Medics TrueOne), and 2) compare measured RMR with three RMR-predictive (pRMR) equations in female athletes. In part one, 12 recreationally-exercising women (mean ± SD; age 27.5 ± 12.3 y) performed two RMR assessments, on separate days, utilising the Parvo Medics TrueOne analyser. In part two, 25 recreationally-exercising women to sub-elite athletes (mean ± SD; age 30.1 ± 10.2 y) underwent an RMR assessment using the Parvo Medics TrueOne analyser, which was compared to three calculated pRMR equations (Harris-Benedict (H-B), Mifflin-St Jeor (M), World Health Organisation (WHO)). eTest-retest reliability for the TrueOne analyser was deemed acceptable (CV = 5.3%, ICC = 0.92). The validity of pRMR when compared to measured RMR showed low levels of agreement in all 3 predictive equations (M: CV = 21.4%, TEE = 269 kcal.day(−1), r = 0.16, WHO: CV = 21.5%, TEE = 270 kcal.day(−1), r = 0.13 H-B: CV = 21.6%, TEE = 270 kcal.day(−1), r = 0.13). The Parvo Medics TrueOne analyser is a reliable tool for measuring RMR. Caution should be taken when using pRMR equations in female athletes as they do not take into account the likely differences in fat free mass in these populations.

Personalized hydration strategies play a key role in optimizing the performance and safety of athletes during sporting activities. Clinicians should be aware of the many physiological, behavioral, logistical and psychological issues that determine both the athlete’s fluid needs during sport and his/her opportunity to address them; these are often specific to the environment, the event and the individual athlete. In this paper we address the major considerations for assessing hydration status in athletes and practical solutions to overcome obstacles of a given sport. Based on these solutions, practitioners can better advise athletes to develop practices that optimize hydration for their sports.

New findings What is the topic of this review? We review the issues with using predicted resting metabolic rate equations in athletic populations. What advances does it highlight? The use of dated predicted resting metabolic rate equations is not appropriate for athletic populations until more studies have been conducted among these unique populations. Abstract Resting metabolic rate (RMR) is the amount of energy the body uses at rest. A suppressed RMR has been correlated with low energy availability and therefore used as an indicator of an individual's energy state. Furthermore, confounding identification of low energy availability within an athletic population are the physiological measures required, which can be time consuming and require professional expertise. To negate the demands of laboratory protocols in measuring RMR, predicted RMR (p RMR) equations were developed. Caution should be exercised when applying the p RMR equations for determining low energy availability in athletes owing to the population used to develop the equations and the higher metabolic cost of fat-free mass, thus elevated RMR, associated with athletes. Moreover, a low ratio of measured RMR to p RMR is often used as an alternative marker for energy deficiency. Predictive equations should implement fat-free mass within the algorithm when estimating RMR in athletic populations. The purpose of this paper is to describe p RMR equation development and the issues associated with use of p RMR equations for athletic populations. As professional sport increases, validation of p RMR equations in the modern athlete population is needed to monitor energy availability for athletic health and performance.

Mayo, Brad, Cory Miles, Stacy Sims, and Matthew Driller. The effect of resistance training in a hypoxic chamber on physical performance in elite rugby athletes. High Alt Med Biol 19:28-34, 2018.-Limited research suggests that muscle adaptations may be enhanced through resistance training in a hypoxic environment. Seventeen professional rugby union athletes (age [mean ± SD], 24 ± 3 years; body mass, 98.7 ± 12.8 kg; and height, 188.9 ± 7.9 cm), performed 12 resistance training sessions over a 3-week period. Participants were randomly divided into two groups: HYP (n = 8), where resistance training sessions were performed in an environmental chamber with O

Moderate-intensity physical activity is recommended for individuals with diabetes to control glucose and prevent diabetes-related complications. The extent to which a diabetes diagnosis motivates patients to increase physical activity is unclear. This study used data from the Women's Health Initiative Observational Study (baseline data collected from 1993 to 1998) to examine change in physical activity and sedentary behavior in women who reported a diabetes diagnosis compared with women who did not report diabetes during 7 yr of follow-up (up to 2005).Participants (n = 84,300) were postmenopausal women who did not report diabetes at baseline (mean ± SD; age = 63.49 ± 7.34 yr; body mass index = 26.98 ± 5.67 kg·m). Linear mixed-model analyses were conducted adjusting for study year, age, race/ethnicity, body mass index, education, family history of diabetes, physical functioning, pain, energy/fatigue, social functioning, depression, number of chronic diseases, and vigorous exercise at age 18 yr. Analyses were completed in August 2012.Participants who reported a diabetes diagnosis during follow-up were more likely to report increasing their total physical activity (P = 0.002), walking (P0.001), and number of physical activity episodes (P0.001) compared with participants who did not report a diabetes diagnosis. On average, participants reporting a diabetes diagnosis reported increasing their total physical activity by 0.49 MET·h·wk, their walking by 0.033 MET·h·wk, and their number of physical activity episodes by 0.19 MET·h·wk. No differences in reported sedentary behavior change were observed (P = 0.48).A diabetes diagnosis may prompt patients to increase physical activity. Healthcare professionals should consider how best to capitalize on this opportunity to encourage increased physical activity and maintenance.

A number of nutrients, foods and supplements have the potential to augment health, exercise performance and/or recovery, particularly in women, due to fluctuation of sex hormones, or reductions thereof. Some of these for which significant amounts of research have provided evidence include

Objective To evaluate the association between self-reported daily sitting time and the incidence of type 2 diabetes in a cohort of postmenopausal women. Methods Women (N=88,829) without diagnosed diabetes reported the number of hours spent sitting over a typical day. Incident cases of diabetes were identified annually by self-reported initiation of using oral medications or insulin for diabetes > 14.4 years follow-up. Results Each hour of sitting time was positively associated with increased risk of diabetes [risk ratio (RR): 1.05; 95% confidence interval (CI): 1.02–1.08]. However, sitting time was only positively associated with incident diabetes in obese women. Obese women reporting sitting 8–11 (RR: 1.08; 95% CI 1.0–1.1), 12–15 (OR: 1.13; 95% CI 1.0–1.2), and ≥16 hours (OR: 1.25; 95% CI 1.0–1.5) hours per day had an increased risk of diabetes compared to women sitting ≤7 hours per day. These associations were adjusted for demographics, health conditions, behaviors (smoking, diet, and alcohol intake), and family history of diabetes. Time performing moderate to vigorous intensity physical activity did not modify these associations. Conclusions Time spent sitting was independently associated with increased risk of diabetes diagnosis among obese women—a population already at high risk of the disease.

The unclear relationship of obesity to incident melanoma and nonmelanoma skin cancer (NMSC) risks was evaluated in the large, geographically diverse longitudinal, prospective Women's Health Initiative (WHI) observational study. Risks of melanoma and NMSC in normal weight women were compared with risks in overweight [body mass index (BMI) = 25–29.0 kg/m2] and obese (BMI ≥ 30 kg/m2) women, using Cox proportional hazards models for melanoma and logistic regression for NMSC. Over a mean 9.4 years of follow-up, there were 386 melanoma and 9,870 NSMC cases. Risk of melanoma did not differ across weight categories (P = 0.86), whereas in fully adjusted models, NMSC risk was lower in overweight [OR, 0.93; 95% confidence interval (CI), 0.89–0.99] and obese (OR, 0.85; 95% CI, 0.80–0.91) women (P < 0.001). Excess body weight was not associated with melanoma risk in postmenopausal women but was inversely associated with NMSC risk, possibly due to lower sun exposure in overweight and obese women. This supports previous work demonstrating the relationship between excess body weight and skin cancer risk. Cancer Epidemiol Biomarkers Prev; 22(12); 2412–5. ©2013 AACR.

Background: Large cohort studies have reported no relationship between dietary fat and nonmelanoma skin cancer (NMSC), although a low-fat diet intervention reduced NMSC risk in a small clinical trial. In animal studies, skin tumor development has been reduced by low-fat diet. We evaluated the effect of a low-fat dietary pattern on NMSC and melanoma in the Women's Health Initiative Dietary Modification trial. Methods: Postmenopausal women aged 50 to 79 years (n = 48,835) were randomly assigned to the low-fat dietary pattern intervention (n = 19,541) or comparison group (n = 29,294). The intervention goals included decreasing fat intake to 20% or less of calories, increasing vegetable and fruit intake, and increasing grain intake. Self-reported incident NMSC (n = 4,907) and physician-adjudicated incident melanoma (n = 279) were ascertained every 6 months. Results: Over 8.1 years of follow-up, the low-fat diet intervention did not affect overall incidence of NMSC [HR 0.98; 95% confidence interval (CI), 0.92–1.04] or melanoma (HR, 1.04; 95% CI, 0.82–1.32). In subgroup analyses of melanoma risk, baseline fat intake interacted significantly with group assignment (Pinteraction = 0.006). Among women with higher baseline fat intake, the dietary intervention significantly increased risk (HR, 1.48; 95% CI, 1.06–2.07), whereas, among women with lower baseline fat intake, the intervention tended to reduce melanoma risk (HR, 0.72; 95% CI, 0.50–1.02). Conclusions: In this large randomized trial, a low-fat dietary pattern did not affect overall incidence of NMSC or melanoma. Impact: A low-fat diet does not reduce incidence of NMSC, but an interaction between baseline fat intake and dietary intervention on melanoma risk warrants further investigation. Cancer Epidemiol Biomarkers Prev; 22(9); 1509–19. ©2013 AACR.

Objectives: The aim of this study was to examine the independent and joint associations of sitting time and physical activity with risk of incident cardiovascular disease (CVD).Background: Sedentar...

We used a biomarker of activity-related energy expenditure (AREE) to assess measurement properties of self-reported physical activity and to determine the usefulness of AREE regression calibration equations in the Women's Health Initiative. Biomarker AREE, calculated as the total energy expenditure from doubly labeled water minus the resting energy expenditure from indirect calorimetry, was assessed in 450 Women's Health Initiative participants (2007-2009). Self-reported AREE was obtained from the Arizona Activity Frequency Questionnaire (AAFQ), the 7-Day Physical Activity Recall (PAR), and the Women's Health Initiative Personal Habits Questionnaire (PHQ). Eighty-eight participants repeated the protocol 6 months later. Reporting error, measured as log(self-report AREE) minus log(biomarker AREE), was regressed on participant characteristics for each instrument. Body mass index was associated with underreporting on the AAFQ and PHQ but overreporting on PAR. Blacks and Hispanics underreported physical activity levels on the AAFQ and PAR, respectively. Underreporting decreased with age for the PAR and PHQ. Regressing logbiomarker AREE on logself-reported AREE revealed that self-report alone explained minimal biomarker variance (R(2) = 7.6, 4.8, and 3.4 for AAFQ, PAR, and PHQ, respectively). R(2) increased to 25.2, 21.5, and 21.8, respectively, when participant characteristics were included. Six-month repeatability data adjusted for temporal biomarker variation, improving R(2) to 79.4, 67.8, and 68.7 for AAFQ, PAR, and PHQ, respectively. Calibration equations "recover" substantial variation in average AREE and valuably enhance AREE self-assessment.

While low physical activity and high body mass index (BMI) have been associated with higher endometrial cancer incidence, no previous studies have evaluated the association between physical activity and survival after endometrial cancer diagnosis, and studies on BMI and survival have not been performed in a prospective cohort.We examined pre-diagnosis BMI and moderate- to vigorous-intensity physical activity in relation to overall and disease-specific survival among 983 postmenopausal women who were diagnosed with endometrial cancer in the Women's Health Initiative Observational Study and Clinical Trials.Over a median 5.2 (max 14.1) years from diagnosis to death or end of follow-up, 163 total deaths were observed, 66 of which were due to endometrial cancer. We observed a higher all-cause mortality hazard ratio (HR) = 1.85 (95% CI 1.19-2.88) comparing women with a BMI ≥ 35 kg/m(2) to women with BMI25 kg/m(2). For endometrial cancer-specific mortality the HR = 2.23 (95% CI 1.09-4.54) comparing extreme BMI categories. To examine histologic subtypes we analyzed type I endometrial tumors separately and found an HR = 1.20 (95% CI 1.07-1.35) associated with all-cause mortality for each 5-unit change in BMI. Moderate- to vigorous-intensity physical activity was not associated with all-cause or endometrial cancer-specific mortality.Pre-diagnosis BMI, but not physical activity, was associated with survival among women with endometrial cancer. Future studies should investigate mechanisms and timing of BMI onset to better understand the burden of disease attributable to BMI.

Telephone-based interactive voice response (IVR) systems could be an effective tool for promotion of physical activity among older women. To test IVR feasibility, we enrolled 30 older women in a 10-week physical activity intervention designed around National Institute on Aging (NIA) Go4Life® educational materials with IVR coaching. Participants (mean age = 76 years) significantly increased physical activity by a mean 79 ± 116 (SD) minutes/week (p