OBJECTIVE:The objective of the current study was to examine the feasibility of telemedicine vs. telephone for the delivery of a multidisciplinary weekly family-based behavioural group intervention to treat paediatric obesity delivered to families living in rural areas using a randomized controlled trial methodology.METHODS:103 rural children and their families were recruited. Feasibility measures included participant satisfaction, session attendance and retention. Treatment outcome measures included child Body Mass Index z-score (BMIz), parent BMI, 24-hour dietary recalls, accelerometer data, the child behavior checklist and the behavioral pediatrics feeding assessment scale.RESULTS:Participants were highly satisfied with the intervention both via telemedicine and via telephone. Completion rates were much higher than for other paediatric obesity intervention programmes, and both methodologies were highly feasible. There were no differences in telemedicine and telephone groups on primary outcomes.CONCLUSION:Both telemedicine and telephone intervention appear to be feasible and acceptable methods of delivering paediatric obesity treatment to rural children.

In an interesting study published in the Journal, Gibbs et al 1 Gibbs H.D. Kennett A.R. Kerling E.H. et al. Assessing the nutrition literacy of parents and its relationship with child diet quality. J Nutr Educ Behav. 2016; 48: 505-509 Abstract Full Text Full Text PDF PubMed Scopus (48) Google Scholar aimed to investigate the reliability and validity of the Nutrition Literacy Assessment Instrument for Parents (NLit-P) and its relationship to the child Healthy Eating Index. They found that the NLit-P is a reliable tool that can predict the child Healthy Eating Index. Assessing the Nutrition Literacy of Parents and Its Relationship With Child Diet QualityJournal of Nutrition Education and BehaviorVol. 48Issue 7PreviewTo estimate the reliability and validity of the Nutrition Literacy Assessment Instrument for Parents (NLit-P) and to investigate relationships among parental nutrition literacy, parental and child body mass index, and child diet quality (Healthy Eating Index). Full-Text PDF Response to Letter to the EditorJournal of Nutrition Education and BehaviorVol. 48Issue 8PreviewWe appreciate the comments provided to us in the letter from Dr Ayubi, and we thank the editors for the opportunity to respond to the criticisms offered and to expand discussion of our work. Full-Text PDF

Objective: To estimate the reliability and validity of the Nutrition Literacy Assessment Instrument for Parents (NLit-P) and to investigate relationships among parental nutrition literacy, parental and child body mass index, and child diet quality (Healthy Eating Index).Methods: Cross-sectional study of 101 parent-child dyads that collected measures of socioeconomic status, nutrition literacy, 2 24-hour child diet recalls, and body mass index. Reliability of NLit-P was assessed by confirmatory factor analysis. Pearson correlation and multiple linear regression were used.Results: Fair to substantial reliability was seen across 5 NLit-P domains, whereas Pearson correlations support concurrent validity for the NLit-P related to child diet quality and parental income, age, and educational attainment (P < .001). For every 1% increase in NLit-P, there was a 0.51 increase in child Healthy Eating Index (multivariate coefficient, 0.174; P < .001).Conclusions and Implications: The NLit-P demonstrates potential for measuring parental nutrition literacy, which may be an important educational target for improving child diet quality.

Introduction: Rates of alternative tobacco product use (ATPs; eg, cigars, cigarillos, pipes) among cigarette smokers are on the rise but little is known about the subgroups at highest risk. This study explored interactions between demographic, tobacco, and psychosocial factors to identify cigarette smokers at highest risk for ATP use from a racially/ethnically and socioeconomically diverse sample of adult smokers across the full smoking spectrum (nondaily, daily light, daily heavy).Methods: Two-thousand three-hundred seventy-six adult cigarette smokers participated in an online cross-sectional survey. Quotas ensured equal recruitment of African American (AA), white (W), Hispanic/Latino (H) as well as daily and nondaily smokers. Classification and Regression Tree modeling was used to identify subgroups of cigarette smokers at highest risk for ATP use.Results: 51.3% were Cig+ATP smokers. Alcohol for men and age, race/ethnicity, and discrimination for women increased the probability of ATP use. Strikingly, 73.5% of men screening positive for moderate to heavy drinking and 62.2% of younger (<= 45 years) African American/Hispanic/Latino women who experienced regular discrimination were Cig+ATP smokers.Conclusions: Screening for concurrent ATP use is necessary for the continued success of tobacco cessation efforts especially among male alcohol users and racial/ethnic minority women who are at greatest risk for ATP use.

Background: African-Americans smoke fewer cigarettes per day than Whites but experience greater smoking attributable morbidity and mortality. African-American-White differences may also exist in cessation but rigorously designed studies have not been conducted to empirically answer this question.Methods/design: Quit2Live is, to our knowledge, the first head-to-head trial designed with the primary aim of examining African-American-White disparities in quitting smoking. Secondary aims are to identify mechanisms that mediate and/or moderate the relationship between race and quitting. The study is ongoing. Study aims are accomplished through a 5-year prospective cohort intervention study designed to recruit equal numbers of African-Americans (n = 224) and Whites (n = 224) stratified on age (<40, >= 40) and gender, key factors known to impact cessation, and all within a restricted income range (<= 400% federal poverty level). All participants will receive 12 weeks of varenidine in combination with smoking cessation counseling. The primary outcome is cotinine-verified 7-day point prevalence abstinence from smoking at week 26. Secondary outcomes are cotinine-verified 7-day point prevalence abstinence from smoking at weeks 4 and 12.Discussion: Findings from Quit2Live will not only address if African-American-White disparities in quitting smoking exist but, more importantly, will examine mechanisms underlying the difference. Attention to proximal, modifiable mechanisms (e.g., adherence, response to treatment, depression, stress) maximizes Quit2Live's potential to inform practice. Findings will provide an empirically-derived approach that will guide researchers and clinicians in identifying specific factors to address to improve cessation outcomes and reduce tobacco related morbidity and mortality in African-American and White smokers. Trial registration number: ClinicalTrials.gov: NCT01836276 (C) 2015 Elsevier Inc. All rights reserved.

No nutrition literacy instruments have been tested in breast cancer survivors, yet nutrition is a critical lifestyle factor for optimizing weight and improving quality of life in breast cancer survival. Our objectives were to adapt our Nutrition Literacy Assessment Instrument for breast cancer populations and to pilot test its validity and reliability. We modified the instrument based on review by content experts in cancer and nutrition and cognitive interviews with 18 cancer survivors. The modified instrument (Nutrition Literacy Assessment Instrument for Breast Cancer, NLit-BCa) was pilot-tested with 17 high-risk women and 55 breast cancer survivors. We conducted the NLit-BCa on two separate occasions 4 weeks apart and assessed reliability by confirmatory factor analysis. Construct validity was evaluated by comparing results of the NLit-BCa to a Healthy Eating Index score derived from two separate 24-h dietary recalls. Content validity of the NLit-BCa was acceptable (0.93). Entire reliability for three instrument domains was substantial (> 0.80), while remaining domains demonstrated fair or moderate reliability. Significant relationships were found between five of the six domains of nutrition literacy and diet quality (P < 0.05). The NLit-BCa is content valid and demonstrates promising reliability and construct validity related to diet quality, through a larger sample size, and removal of non-discriminating items is needed to confirm these findings. Thus, the NLit-BCa demonstrates potential for comprehensively measuring nutrition literacy in breast cancer populations.

Background Other forms of tobacco use are increasing in prevalence, yet most tobacco control efforts are aimed at cigarettes. In light of this, it is important to identify individuals who are using both cigarettes and alternative tobacco products (ATPs). Most previous studies have used regression models. We conducted a traditional logistic regression model and a classification and regression tree (CART) model to illustrate and discuss the added advantages of using CART in the setting of identifying high-risk subgroups of ATP users among cigarettes smokers. Methods The data were collected from an online cross-sectional survey administered by Survey Sampling International between July 5, 2012 and August 15, 2012. Eligible participants self-identified as current smokers, African American, White, or Latino (of any race), were English-speaking, and were at least 25 years old. The study sample included 2,376 participants and was divided into independent training and validation samples for a hold out validation. Logistic regression and CART models were used to examine the important predictors of cigarettes + ATP users. Results The logistic regression model identified nine important factors: gender, age, race, nicotine dependence, buying cigarettes or borrowing, whether the price of cigarettes influences the brand purchased, whether the participants set limits on cigarettes per day, alcohol use scores, and discrimination frequencies. The C-index of the logistic regression model was 0.74, indicating good discriminatory capability. The model performed well in the validation cohort also with good discrimination (c-index = 0.73) and excellent calibration (R-square = 0.96 in the calibration regression). The parsimonious CART model identified gender, age, alcohol use score, race, and discrimination frequencies to be the most important factors. It also revealed interesting partial interactions. The c-index is 0.70 for the training sample and 0.69 for the validation sample. The misclassification rate was 0.342 for the training sample and 0.346 for the validation sample. The CART model was easier to interpret and discovered target populations that possess clinical significance. Conclusion This study suggests that the non-parametric CART model is parsimonious, potentially easier to interpret, and provides additional information in identifying the subgroups at high risk of ATP use among cigarette smokers.

Background: In the literature, different shapes of associations have been found between body mass index (BMI) and mortality and some of the findings were opposite to each other. The association of BMI and mortality in a single cohort has been found to be dynamic that can lead to different findings under different settings. The identified dynamic features were consistent with the heterogeneity in the literature. It is meaningful to find out whether such dynamic associations exist in other populations.Methods: Data of six different cohorts were used for analysis and comparison. The proportional hazards assumptions for BMI in Cox models were tested to identify dynamic associations in each cohort. Time-dependent covariates Cox model was used to model the association of BMI and mortality risk as functions of follow-up time. The Cox model was applied to the pooled data with survival times censored at 5 to 40 years to show the potential impact of the dynamic association on traditional Meta-analysis.Results and discussion: Dynamic associations were identified in six models (4 for men and 2 for women), four of which showed the same changing pattern: the elevated mortality risk for low BMI decreased while that for high BMI increased with follow-up time. When the Cox model was applied to the pooled data excluding the largest and also the shortest cohort, low BMI was but high BMI was not associated with high mortality for men with censoring at 5 years but the association for low BMI became weaker and that for high BMI became much stronger when censoring time was at 40 years. The dynamic association indicated that shorter studies tend to obtain inverse associations between BMI and mortality while longer studies tend to obtain J-shaped associations.Conclusions: Different or even opposite results about body weight and mortality in the literature may be in part due to the underlying dynamic association of BMI and mortality. The dynamic features need to be taken into consideration in future studies.

Developing valid and reliable instruments is crucial, but costly and time-consuming in health care research and evaluation. The Food and Drug Administration (FDA) and the National Institutes of Health (NIH) have set up guidelines for developing patient-reported outcome (PRO) instruments. However, the guidelines are not applicable to cases of small sample sizes. Instead of using an exact estimation procedure to examine psychometric properties, the Bayesian Instrument Development (BID) method integrates expert data and participant data into a single seamless analysis. Using a novel set of priors, simulated data were used to compare BID to classical instrument development procedures and test the stability of BID. To display BID to non-statisticians, a graphical user interface (GUI) based on R and WINBUGS is developed and demonstrated with data on a small sample of heart failure patients. Costs were saved by eliminating the need for unnecessary continuation of data collection for larger samples as required by the classical instrument development approach.