Food insecurity among adult females with a history of breast cancer compared to adult females without cancer in the USA.

PURPOSE: To determine the prevalence of food insecurity (FI) among females with a history of breast cancer compared to females without cancer in the USA and the sociodemographic characteristics that may explain their FI. METHODS: Using the 2019 National Health Interview (NHIS) survey that included the US Department of Agriculture's (USDA's) 10-item Household Food Security Survey Module, participants with high/moderate food security were considered food secure and low/very low food security were considered food insecure. Analyses accounted for complex survey design and included descriptive statistics, bivariate analyses, and multivariate regression analyses. RESULTS: Eligible females (40+ years old) included 557 with a history of breast cancer and 9678 without a cancer history. FI was experienced by an estimated 4.4% of females with breast cancer, compared to 9.3% of females without cancer. Controlling for age, race/ethnicity, education level, general health status, and body mass index, the prevalence ratio between the two study groups was 0.50 (95% CI 0.33-0.78). CONCLUSIONS: In this national sample, the prevalence of FI among females with a history breast cancer was lower than females without a history of cancer. IMPLICATIONS FOR CANCER SURVIVORS: FI is low among breast cancer survivors, and routine FI screening among breast cancer survivors may not be warranted for all patients. Healthcare providers, however, should be aware of FI as a social determinant of health and consider it when there are known financial issues among cancer survivors.

Evaluating Pre-election Polling Estimates Using a New Measure of Non-ignorable Selection Bias.

Among the numerous explanations that have been offered for recent errors in pre-election polls, selection bias due to non-ignorable partisan nonresponse bias, where the probability of responding to a poll is a function of the candidate preference that a poll is attempting to measure (even after conditioning on other relevant covariates used for weighting adjustments), has received relatively less focus in the academic literature. Under this type of selection mechanism, estimates of candidate preferences based on individual or aggregated polls may be subject to significant bias, even after standard weighting adjustments. Until recently, methods for measuring and adjusting for this type of non-ignorable selection bias have been unavailable. Fortunately, recent developments in the methodological literature have provided political researchers with easy-to-use measures of non-ignorable selection bias. In this study, we apply a new measure that has been developed specifically for estimated proportions to this challenging problem. We analyze data from 18 different pre-election polls: 9 different telephone polls conducted in 8 different states prior to the US presidential election in 2020, and nine different pre-election polls conducted either online or via telephone in Great Britain prior to the 2015 general election. We rigorously evaluate the ability of this new measure to detect and adjust for selection bias in estimates of the proportion of likely voters that will vote for a specific candidate, using official outcomes from each election as benchmarks and alternative data sources for estimating key characteristics of the likely voter populations in each context.

Early Developmental Trends in High-Risk Neonates Later Diagnosed With Autism Spectrum Disorder.

PURPOSE: We hypothesized that clinical data from a neonatal intensive care unit (NICU) infant developmental follow-up clinic would identify early manifestations of autism spectrum disorder (ASD). METHODS: One hundred forty-four infants were identified; 72 later diagnosed with ASD and 72 controls. Retrospective chart review provided data from the Test of Infant Motor Performance (TIMP) and the Bayley Scales of Infant and Toddler Development, third edition (Bayley-III), between 8 and 26 months of age. RESULTS: Between-group comparisons indicated no significant group difference in TIMP scores; however, Bayley-III scaled scores differed between the groups at 2 administration times. The within-group Bayley-III change scores declined significantly more for the ASD group in cognitive and communication subtests. CONCLUSION: High-risk neonates, due to prematurity or morbidity, later diagnosed with ASD demonstrated statistically significant differences, including a more precipitous drop in Bayley-III scores over time. Early, longitudinal developmental surveillance for neonates at risk of ASD is critical. What this adds to the evidence: Early identification of ASD is critical to optimize developmental outcomes in young children, including infants born prematurely or with neonatal morbidity, who are perceived to have an increased risk for ASD. Despite these findings, minimal research has been conducted to evaluate the utility of commonly administered norm-referenced developmental surveillance instruments to identify possible early signs of ASD in this high-risk population due to prematurity or neonatal morbidity and not familial association. The present study analyzed retrospectively collected clinical data from a NICU developmental follow-up clinic for 144 infants, 72 of which were later diagnosed with ASD and 72 sex- and gestational age-matched controls. Results demonstrated statistically significant poorer Bayley-III outcomes for the ASD group compared with controls at 2 different study time points, including a more precipitous drop in Bayley-III scaled scores over time. This study highlights the importance of early and longitudinal developmental surveillance for high-risk neonates at risk of ASD.

Impact of mindfulness training on emotion regulation in multiple sclerosis: Secondary analysis of a pilot randomized controlled trial.

Purpose/Objective Research: This secondary analysis of a pilot randomized controlled trial in people with multiple sclerosis (PwMS) aimed to compare mindfulness-based training (MBT), adaptive cognitive training (aCT), and a waitlist control (WL) on the use of emotion regulation strategies during daily worries and ruminations. Further, we examined cognitive functioning as a moderator of training effects. RESEARCH METHOD/DESIGN: Sixty-one PwMS were randomized into an MBT, aCT, or a WL control group for four weeks. Participants completed daily diaries assessing their use of emotion regulation strategies and measures of cognitive functioning at pre- and posttraining. The frequency of acceptance use, maladaptive strategies, and cognitive reappraisal, as well as the success of acceptance use, were the primary outcomes of interest. We also examined whether a cognitive composite score moderated treatment gains. RESULTS: Relative to pretraining, at posttraining, participants in the MBT group used acceptance more frequently, and this change was significantly greater compared to the change in aCT and WL groups. Training did not have differential effects on the frequency of maladaptive strategy and cognitive reappraisal use or on the success of acceptance use. Cognitive functioning did not moderate observed treatment gains. CONCLUSION/IMPLICATIONS: Our findings, based on this pilot study, suggest that after brief training in mindfulness meditation, PwMS used more acceptance strategies to regulate their emotions. Future studies with larger sample sizes, longer duration of treatment, and longitudinal follow-up are needed to better understand the efficacy of mindfulness mediation for promoting affective and cognitive health in PwMS. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

Sugars measured enzymatically in a fasting overnight urine sample are not sensitive biomarkers of dietary added sugar intake in postmenopausal women.

BACKGROUND: Restricting dietary sugar is a leading recommendation, but limited biomarkers assessing intake exist. Although 24-h urinary sucrose (U-Suc) and urinary fructose (U-Fruc) excretion has been used with mixed success, collection is burdensome. AIM: This study aimed to test the sensitivity of an enzymatic assay of U-Suc and U-Fruc to detect changing added sugar intake using low-burden overnight urine samples in 30 postmenopausal women. METHODS: Women consumed usual dietary intake during day 1 and usual intake plus a sugar sweetened beverage during day 2. Weighed, photographed food records assessed intake. Enzymatic assay measured U-Suc and U-Fruc from fasting overnight samples; liquid chromatography mass spectrometry (LC-MS) validated U-Suc findings. RESULTS: Dietary added sugars increased significantly during day 2 (p < 0.001), but urinary sugars were not significantly increased. Enzymatic assay detected urinary sugars in 75% (U-Suc) and 35% (U-Fruc) of samples. Dietary sucrose was not associated with U-Suc, however dietary fructose was significantly associated with U-Fruc [ß = 0.031; p < 0.05] among women with detectable urinary sugars. Participants with detectable U-Fruc consumed more energy from added sugars [12.6% kcal day 1; 21.5% kcal day 2] than participants with undetectable U-Fruc [9.3% kcal day 1; 17.4% kcal day 2], p < 0.05. Using LC-MS, U-Suc predicted sucrose and added sugar intake [ß = 0.017, ß = 0.013 respectively; both p < 0.05]. CONCLUSIONS: Urinary sugars measured enzymatically from overnight urine samples were not sensitive biomarkers of changing added sugar intake in postmenopausal women. However, urinary fructose measured by enzymatic assay or LC-MS may differentiate low versus high added sugar consumers.

A simulation study of diagnostics for selection bias.

A non-probability sampling mechanism arising from non-response or non-selection is likely to bias estimates of parameters with respect to a target population of interest. This bias poses a unique challenge when selection is 'non-ignorable', i.e. dependent upon the unobserved outcome of interest, since it is then undetectable and thus cannot be ameliorated. We extend a simulation study by Nishimura et al. [International Statistical Review, 84, 43-62 (2016)], adding two recently published statistics: the so-called 'standardized measure of unadjusted bias (SMUB)' and 'standardized measure of adjusted bias (SMAB)', which explicitly quantify the extent of bias (in the case of SMUB) or non-ignorable bias (in the case of SMAB) under the assumption that a specified amount of non-ignorable selection exists. Our findings suggest that this new sensitivity diagnostic is more correlated with, and more predictive of, the true, unknown extent of selection bias than other diagnostics, even when the underlying assumed level of non-ignorability is incorrect.

ASSESSING SELECTION BIAS IN REGRESSION COEFFICIENTS ESTIMATED FROM NONPROBABILITY SAMPLES WITH APPLICATIONS TO GENETICS AND DEMOGRAPHIC SURVEYS.

Selection bias is a serious potential problem for inference about relationships of scientific interest based on samples without well-defined probability sampling mechanisms. Motivated by the potential for selection bias in: (a) estimated relationships of polygenic scores (PGSs) with phenotypes in genetic studies of volunteers and (b) estimated differences in subgroup means in surveys of smartphone users, we derive novel measures of selection bias for estimates of the coefficients in linear and probit regression models fitted to nonprobability samples, when aggregate-level auxiliary data are available for the selected sample and the target population. The measures arise from normal pattern-mixture models that allow analysts to examine the sensitivity of their inferences to assumptions about nonignorable selection in these samples. We examine the effectiveness of the proposed measures in a simulation study and then use them to quantify the selection bias in: (a) estimated PGS-phenotype relationships in a large study of volunteers recruited via Facebook and (b) estimated subgroup differences in mean past-year employment duration in a nonprobability sample of low-educated smartphone users. We evaluate the performance of the measures in these applications using benchmark estimates from large probability samples.

Cellphone laws and teens' calling while driving: analysis of repeated cross-sectional surveys in 2013, 2015, 2017, and 2019.

BACKGROUND: Distracted driving among teens is a public health and safety concern. Most states in the U.S. have sought to restrict cellphone use while driving by enacting laws. This study examines the difference in prevalence of self-reported calling while driving (CWD) between states with different cellphone bans. METHODS: Demographics and CWD data were extracted from state Youth Risk Behavior Surveys (YRBS) from 14 states in 2013, 2015, 2017, and 2019. The state YRBS is conducted every 2 years with a representative sample of 9th through 12th grade students attending public school. States were grouped by type of cellphone law(s): no ban (the absence of both handheld calling ban and young driver ban), young driver ban (a ban on all forms of cellphone use while driving, for young drivers only), or concurrent ban (a young driver ban plus a ban on handheld calling for all drivers irrespective of age). Poisson regression models with robust variance were used to estimate prevalence ratios comparing CWD prevalence across ban types. RESULTS: In total, 157,423 high school students participated in the surveys, and 65,044 (45%) participants reached the minimum age to obtain an intermediate license and drove during the 30 days prior the survey. Approximately 53% of participants reported CWD at least once during the previous 30 days, and the percentages varied widely by states (range: 51-55%). Compared to students from states with no ban, those from states with concurrent bans were 19%(95% CI: 14-24%) less likely to engage in CWD. Students in states with concurrent bans were 23% less likely to engage in CWD compared to students in states with young driver bans (95% CI:17-27%). CONCLUSIONS: Engaging in CWD is common among teen drivers. The concurrent implementation of a handheld calling ban and a young driver ban was associated with a lower prevalence of CWD.

The association of job demands and resources with burnout among emergency medical services professionals.

OBJECTIVE: Although burnout has been linked to negative workplace-level effects, prior studies have primarily focused on individuals rather than job-related characteristics. This study sought to evaluate variation in burnout between agencies and to quantify the relationship between burnout and job-related demands/resources among emergency medical services (EMS) professionals. METHODS: An electronic questionnaire was sent to all licensed, practicing EMS professionals in South Carolina. Work-related burnout was measured using the Copenhagen Burnout Inventory. Multivariable generalized estimating equations were used to estimate odds ratios (ORs) for specific job demands and resources while adjusting for confounding variables. Composite scores were used to simultaneously assess the relationship between burnout and job-related demands and resources. RESULTS: Among 1271 EMS professionals working at 248 EMS agencies, the median agency-level burnout was 35% (interquartile range [IQR]: 13% to 50%). Job-related demands, including time pressure, were associated with increased burnout. Traditional job-related resources, including pay and benefits, were associated with reduced burnout. Less tangible job resources, including autonomy, clinical performance feedback, social support, and adequate training demonstrated strong associations with reduced burnout. EMS professionals facing high job demands and low job resources demonstrated nearly a 10-fold increase in odds of burnout compared with those exposed to low demands and high resources (adjusted OR [aOR]: 9.50, 95% confidence interval [CI]: 6.39-14.10). High job resources attenuated the impact of high job demands. CONCLUSION: The proportion of EMS professionals experiencing burnout varied substantially across EMS agencies. Job resources, including those reflective of organizational culture, were associated with reduced burnout. Collectively, these findings suggest an opportunity to address burnout at the EMS agency level.

Mindfulness training for emotion dysregulation in multiple sclerosis: A pilot randomized controlled trial.

OBJECTIVE: People with multiple sclerosis (PwMS) report greater emotion dysregulation, which is associated with increased symptoms of depression and anxiety, and reduced quality of life. Given the transdiagnostic significance of emotion dysregulation, the current study was designed to assess the feasibility and treatment effects of mindfulness meditation in reducing emotion dysregulation for PwMS. METHOD: Sixty-one PwMS were randomized to 1 of 3 groups: 4-week mindfulness-based training (MBT), 4-week adaptive cognitive training (aCT), or a waitlist control group. Using self-report and behavioral measures, we examined the effects of MBT on emotion dysregulation, use of emotion regulation strategies, experience of negative and positive affect, and overall quality of life. RESULTS: Mindfulness training was associated with reduced emotion dysregulation compared with the adaptive cognitive training and the waitlist control group (ηp² = .20). Relative to the waitlist group, the MBT group also demonstrated reductions on a composite score of preservative cognition, measuring rumination and worry (ηp² = .15). However, there was no differential use of emotion regulation strategies or between-groups differences in overall quality of life as a function of training. CONCLUSIONS: Our pilot study provides preliminary support for MBT to reduce self-reported emotion dysregulation in PwMS. Given the widespread prevalence of mental health disturbances in this population, MBT can serve as a promising rehabilitation tool for PwMS (clinicaltrials.gov # NCT02717429). (PsycInfo Database Record (c) 2020 APA, all rights reserved).

Association of Epigenetic Age and p16INK4a With Markers of T-Cell Composition in a Healthy Cohort.

How the measurement of aging biomarkers in peripheral blood T-lymphocytes (PBTLs) is influenced by cell composition is unclear. Here, we collected peripheral blood and isolated CD3+ PBTLs from 117 healthy couples between the ages of 21 and 72. Each sample was profiled for Horvath epigenetic clock (DNAm), p16INK4a expression, cytomegalovirus (CMV) seropositivity and 74 mRNA markers of PBTL subtype, differentiation, immune checkpoints, and cytokine production. Correlations between individual aging biomarkers (DNAm or p16INK4a) and PBTL mRNAs were corrected for chronological age, sex, and couple. DNAm measurements correlated with CMV seropositivity as well as PBTL mRNAs indicative of effector function (CD8A, EOMES, TBX21, GZMB), poor proliferative capacity (KLRG1, CD57), differentiation (CD45RO, CD45RA), and immune checkpoints (PDCD1, TIGIT, LAG3, CD160, CD244). In contrast, only three PBTL mRNAs, CD28, CD244, and p14ARF, showed a significant association with p16INK4a. p16INK4a expression also showed a weaker association with immunosenescent PBTL subsets than DNAm in flow cytometry analyses. These data suggest that PBTL composition has a greater influence on DNAm than p16INK4a and link accelerated epigenetic aging to immunosenescent phenotypes.

Caregiving in the shadows: National analysis of health outcomes and intensity and duration of care among those who care for people with mental illness and for people with developmental disabilities.

BACKGROUND: The health impacts of caring for people with mental illness (MI) and developmental disabilities (DD) are not well understood. OBJECTIVE: The present study explored whether health outcomes differed between MI and DD caregivers, and if intensity and duration of care moderated health outcomes. METHODS: Nationally representative 2016 Behavioral Risk Factor Surveillance System survey data were used to explore how caring for people with MI (n = 1071) and DD (n = 888) impacted general health status and physical and mental health days, and whether intensity and duration of care moderated health outcomes. Logistic regression models and cumulative logistic regression models were used to model health outcomes. RESULTS: Caregivers had worse health (p = 0.0001) and more poor physical (p < 0.0001) and mental health days (p < 0.0001) than non-caregivers. Relative to DD caregivers, MI caregivers had worse health status (p = 0.02) and more poor physical (p = 0.02) and mental (p = 0.003) health days. As intensity of care increased, MI caregivers had more poor physical health days (p = 0.04) than DD caregivers and as duration of care increased, MI caregivers had worse health status (p = 0.03) than DD caregivers. CONCLUSIONS: Although the care provided to adults with DD was more intense and for a longer duration, MI caregivers had poorer health outcomes and were more impacted by intensity and duration of care. Implications for supporting MI and DD caregivers are discussed.

Residential mobility in early childhood and obesity at kindergarten age among children from the United States.

BACKGROUND: Children who frequently move have poorer behavioural, emotional, and overall health. For similar reasons, the experience of changing home may contextualize children's risk for obesity. Few studies have assessed the relationship between residential mobility and obesity; even fewer explore this relationship with assessment of obesity before school age. METHODS: We analysed data from the Early Childhood Longitudinal Study-Birth Cohort. Obesity at kindergarten age was determined from measured height and weight. Early childhood residential mobility was categorized as not moving or having moved once, twice, or three or more times. Analyses are weighted to be representative of children from the United States and variance estimates account for the complex survey design. RESULTS: The prevalence of obesity at kindergarten age was 17.5%, and most children (71%) moved in early childhood. Compared with children who did not move, the adjusted odd ratios for obesity at kindergarten age were 0.72 (95% CI, 0.57-0.92), 0.70 (95% CI, 0.55-0.89), and 0.64 (95% CI, 0.50-0.84) for children who experienced 1, 2, or 3+ moves. CONCLUSIONS: Our study suggests that obesity and mobility in early life are associated, but not in the way we might expect. Residential mobility may fit into a broader picture of instability and, on its own, may not elevate a child's risk for obesity.

Blood level of adiponectin is positively associated with lean mass in women without type 2 diabetes.

OBJECTIVE: The objective of this study was to evaluate the relationship between blood levels of adiponectin and leptin with lean body and trunk adipose mass in women with and without type 2 diabetes mellitus (T2DM). METHODS: This cross-sectional study analyzed baseline data from five previous clinical studies involving postmenopausal women (n = 95). Body composition was assessed by dual-energy x-ray absorptiometry, and appendicular lean mass was calculated based on body mass index (ALMBMI). Adipokines and cytokines were measured by enzyme-linked immunosorbent assay. Linear mixed-effect models with a random study effect were used to investigate the relationship between predictors (eg, adiponectin, leptin), outcomes (eg, ALMBMI, trunk adipose mass), and co-variables (T2DM status, age, interleukin-6, and C-reactive protein). RESULTS: Postmenopausal women with T2DM had lower ALMBMI than those without T2DM. There was a positive association between blood adiponectin and ALMBMI in postmenopausal women without T2DM, but no association in those with T2DM. Blood leptin was negatively associated with ALMBMI for women regardless of T2DM diagnosis. Blood adiponectin was negatively associated, whereas blood leptin was positively associated with trunk adipose mass for the entire cohort. CONCLUSIONS: T2DM status moderated the relationship between blood adiponectin and ALMBMI, where blood adiponectin was positively associated with ALMBMI in postmenopausal women without T2DM, but not those with T2DM. Dysregulated metabolism in T2DM may contribute to lower muscle mass in women with T2DM, but future research is required to elucidate this mechanistic link. The negative association between blood leptin and ALMBMI was a novel finding. Future studies will need to more clearly define the relationship between these variables.

Indices of non-ignorable selection bias for proportions estimated from non-probability samples.

Rising costs of survey data collection and declining response rates have caused researchers to turn to non-probability samples to make descriptive statements about populations. However, unlike probability samples, non-probability samples may produce severely biased descriptive estimates due to selection bias. The paper develops and evaluates a simple model-based index of the potential selection bias in estimates of population proportions due to non-ignorable selection mechanisms. The index depends on an inestimable parameter ranging from 0 to 1 that captures the amount of deviation from selection at random and is thus well suited to a sensitivity analysis. We describe modified maximum likelihood and Bayesian estimation approaches and provide new and easy-to-use R functions for their implementation. We use simulation studies to evaluate the ability of the proposed index to reflect selection bias in non-probability samples and show how the index outperforms a previously proposed index that relies on an underlying normality assumption. We demonstrate the use of the index in practice with real data from the National Survey of Family Growth.

Texting/Emailing While Driving Among High School Students in 35 States, United States, 2015.

PURPOSE: Determine the prevalence and explore individual- and state-level factors associated with texting/emailing while driving (TWD) among adolescent drivers in the United States. METHODS: Data from 35 states that administered the 2015 state Youth Risk Behavior Survey were analyzed. We used Poisson regression models with robust error variance to estimate prevalence ratios (PRs) for TWD. RESULTS: Among the 101,397 high school students aged ≥ 14 years who had driven a vehicle during the past 30 days, 38% reported TWD at least once. TWD prevalence ranged from 26% in Maryland to 64% in South Dakota. TWD prevalence was higher in states with a lower minimum learner's permit age and in states where a larger percentage of students drove. Multivariable analyses revealed that the likelihood of TWD increased substantially with age, and white students were more likely to engage in TWD than students of all other races/ethnicities. Infrequent seatbelt users were 21% more likely to engage in TWD compared with frequent seatbelt users (adjusted PR = 1.21, 95% confidence interval: 1.16-1.26), and students who reported drinking and driving were almost twice as likely to TWD as compared to students who did not (adjusted PR = 1.91, 95% confidence interval: 1.79-2.04). CONCLUSIONS: Prevalence of TWD among US high school students varied by more than two-fold across states. TWD prevalence was higher in states with lower minimum learner's permit ages and in states where a larger percentage of students drove. Older age, white race/ethnicity, and other risky driving behaviors were associated with TWD.

Comparison of intent-to-treat analysis strategies for pre-post studies with loss to follow-up.

In pre-post studies when all outcomes are completely observed, previous studies have shown that analysis of covariance (ANCOVA) is more powerful than a change-score analysis in testing the treatment effect. However, there have been few studies comparing power under missing post-test values. This paper was motivated by the Behavior and Exercise for Physical Health Intervention (BePHIT) Study, a pre-post study designed to compare two interventions on postmenopausal women's walk time. The goal of this study was to compare the power of two methods which adhere to the intent-to-treat (ITT) principle when post-test data are missing: ANCOVA after multiple imputation (MI) and the mixed model applied to all-available data (AA). We also compared the two ITT analysis strategies to two methods which do not adhere to ITT principles: complete-case (CC) ANCOVA and the CC mixed model. Comparisons were made through analyses of the BePHIT data and simulation studies conducted under various sample sizes, missingness rates, and missingness scenarios. In the analysis of the BePHIT data, ANCOVA after MI had the smallest p-value for the test of the treatment effect of the four methods. Simulation results demonstrated that the AA mixed model was usually more powerful than ANCOVA after MI. The power of ANCOVA after MI dropped the fastest as the missingness rate increased; in most simulated scenarios, ANCOVA after MI had the smallest power when 50% of the post-test outcomes were missing.

Diet Quality, Inflammation, and Quality of Life in Breast Cancer Survivors: A Cross-Sectional Analysis of Pilot Study Data.

BACKGROUND: Modifiable lifestyle factors, such as diet quality, could reduce inflammation and improve quality of life (QOL) in breast cancer survivors, but data are inconclusive. OBJECTIVE: To determine whether diet quality, as measured by Healthy Eating Index-2010 (HEI-2010) score, is associated with inflammation, health status, or functional outcomes affecting QOL in survivors of early-stage breast cancer. DESIGN: This is a cross-sectional, secondary analysis of baseline data collected from breast cancer survivors after completion of primary therapy and before random assignment to a pilot nutritional intervention aimed at reducing side effects of aromatase inhibitor treatment. PARTICIPANTS/SETTING: Participants were 44 postmenopausal women with stage I to III endocrine receptor-positive breast cancer receiving outpatient care at a midwestern cancer center between November 2011 and October 2013. MAIN OUTCOME MEASURES: Primary outcomes were serum proinflammatory cytokines (interleukin-6 [IL-6], IL-17, and tumor necrosis factor-α receptor 2 [TNFR-2]). Secondary outcomes included QOL measured by the Stanford Health and Disability Questionnaire and the Functional Assessment of Cancer Therapy-Breast with Endocrine Subscale. STATISTICAL ANALYSES PERFORMED: Pearson correlation coefficients (r) and linear regression models were used to evaluate the relationship of dietary variables with inflammatory cytokines and QOL measures. RESULTS: A higher overall HEI-2010 score (healthier diet) was associated with lower IL-6 (r=-0.46; P=0.002) and TNFR-2 (r=-0.41; P=0.006); however, associations were attenuated by body mass index (BMI) (IL=6 [r=-0.26; P=0.10]; TNFR-2 [r=-0.30; P=0.06]). In women with prior chemotherapy, a higher HEI-2010 score was strongly associated with lower IL-6 (r=-0.67; P=0.009) and TNFR-2 (r=-0.59; P=0.03) after BMI adjustment. There were no significant correlations between HEI-2010 score and QOL measures after adjustment for BMI. CONCLUSIONS: These data suggest the need for more rigorous investigation into the relationship of diet quality, BMI, and inflammation in breast cancer survivors.

When to biomechanically examine a lower-limb amputee: A systematic review of accommodation times.

BACKGROUND: Hundreds of investigations examining biomechanical outcomes of various prostheses have been completed, but one question remains unanswered: how much time should an amputee be given to accommodate to a new prosthesis prior to biomechanical testing? OBJECTIVE: To examine the literature for accommodation time given during biomechanical investigations to determine whether consensus exists. STUDY DESIGN: Systematic review. METHODS: A systematic search was completed on 7 January 2016 using PubMed and Scopus. RESULTS: The search resulted in 156 investigations. Twenty-eight studies did not provide an accommodation or were unclear (e.g. provided a "break in period"), 5 studies tested their participants more than once, 25 tested only once and on the same day participants received a new prosthesis (median (range): above-knee: 60 (10-300) min; below-knee: 18 (5-300) min), and 98 tested once and gave a minimum of 1 day for accommodation (hip: 77 (60-180) days; above-knee: 42 (1-540) days; below-knee: 21 (1-475) days). CONCLUSION: The lack of research specifically examining accommodation and the high variability in this review's results indicates that it remains undecided how much accommodation is necessary. There is a need for longitudinal biomechanical investigations to determine how outcomes change as amputees accommodate to a new prosthesis. Clinical relevance The results of this review indicate that little research has been done regarding lower-limb amputees accommodating to a new prosthesis. Improper accommodation could lead to increased variability in results, results that are not reflective of long-term use, and could cause clinicians to make inappropriate decisions regarding a prosthesis.

Use and Effectiveness of Sleep Medications by Parent Report in Individuals with Williams Syndrome.

OBJECTIVE: Sleep disorders are common in individuals with Williams syndrome (WS), and sleep disturbance has a significant negative effect on attention, learning, and behavior. The use of sleep-inducing medicine in individuals with WS has not been widely investigated. The objective of this study was to evaluate the use and effectiveness of sleep medications among a large sample of individuals with WS by parent survey. METHODS: A survey of the use and effectiveness of sleep medications was completed by 513 (of 2846) members of the Williams Syndrome Association. The online survey asked for the age at initiation, degree of effectiveness (helpful, somewhat helpful, and not helpful), and side effects. RESULTS: One hundred thirty participants (25%) indicated that their family member with WS had taken medication to help with sleep. Melatonin was the most commonly reported medication taken for sleep, with 91% of parents reporting that it was "helpful" or "somewhat helpful" for their child with WS. Those who reported taking melatonin reported very few, if any, side effects. CONCLUSION: This parent-completed survey is a preliminary study showing the positive benefit of melatonin for individuals with WS who have disrupted sleep. The findings support the need for further study of the use of melatonin, in addition to behavioral sleep aids, given evidence that sleep disturbance negatively influences cognition and behavior.