Biomedical subjects

David M Murray

Publications and source records attributed to David M Murray.

At least 19 recordsLinked to original sources

PubMed2007

Sizing a trial to alter the trajectory of health behaviours: methods, parameter estimates, and their application.

Group-randomized trials often involve repeat observations on the same participants. When there are no more than two observations from each participant, standard mixed-model regression methods for a pretest-posttest design can be used. When there are more than two observations from each participant, random coefficients models may be useful. This paper describes the random coefficients analysis appropriate to data from an extended nested cohort design and presents the methods for power analysis and sample size calculations based on that analysis. We provide estimates for the parameters required for those calculations for a number of adolescent health behaviours. We also show how the estimates can be used to plan a future trial.

Adolescent↗

PubMed2007

Environmental correlates of gambling behavior in urban adolescents.

The present study considered the relation between adolescent gambling behavior and the perceived environment, the component of Jessor and Jessor's (1977) Problem Behavior Theory that assesses the ways that adolescents perceive the attitudes and behaviors of parents and peers. The predominantly African-American sample included 188 sophomores from two urban public high schools. Using the South Oaks Gambling Screen-Revised for Adolescents to assess gambling risk, rates of both at-risk (20.7%) and problem (12.8%) gambling were found to be high. Boys displayed more gambling problems than did girls. The perceived environment accounted for significant variance in gambling problems and frequency, with proximal components displaying stronger relationships than distal components. Perceiving parent gambling and friend models for problem behavior were positively correlated with gambling problems, and friend models were positively related to gambling frequency. Among girls, family support was positively related to gambling problems. Among boys, this relation was negative.

Achievement↗

PubMed2006

Physical activities in adolescent girls: variability in energy expenditure.

BACKGROUND: Understanding interindividual variability of energy expended in common activities is important for determining precise estimates of energy expenditure in surveillance studies and clinical trials. The purpose of this study was to describe the variability in energy expenditure for selected physical activities among adolescent girls. METHODS: Seventy-four adolescent girls (aged 13 to 14 years) participated in this cross-sectional investigation. Data were collected in 2001 and analyzed in 2004. Energy expenditure was measured by indirect calorimetry for ten activities and during a submaximal cycle ergometer test, which was used to estimate cardiorespiratory fitness. Variability in energy expended for the various activities was expressed by standard deviation, coefficient of variation, and range for three different energy expenditure variables: relative VO2 (milliliters per kilogram per minute), absolute VO2 (liters per minute(-1)), and calculated metabolic rate (kilojoules per minute). RESULTS: Depending on the expression of energy expenditure, coefficients of variation ranged from a low of 13.2% for climbing stairs to a high of 38.4% for playing a computer game. Some lower-intensity activities were associated with greater variability in energy expenditure. Bicycling showed consistently higher coefficients of variation across expressions of energy expenditure (29.1%, 37.7%, and 33.5% for relative VO2, absolute VO2, and calculated metabolic rate, respectively). CONCLUSIONS: Energy expenditure for common activities is highly variable in adolescent girls. The coefficient of variation was higher in some activities of lower intensity, regardless of energy expenditure expression. This variance may influence the evaluation of physical activity interventions, particularly with regard to issues such as a prescribed dose of activity and the statistical power to detect change.

Activities of Daily Living↗

PubMed2006

Influencing healthful food choices in school and home environments: results from the TEENS study.

BACKGROUND: The purpose of this research is to examine the effects of an intervention designed to increase the availability of fruits, vegetables and lower fat foods in homes and schools. This research is part of the TEENS study, a school-based intervention study. METHODS: Sixteen schools in Minnesota were recruited to be in the study, and approximately 3600 middle school students in the eight intervention schools were exposed to a multi-component intervention. The TEENS intervention included classroom-based curricula, family newsletters, and changes in the school food environment including increasing more healthful options on a la carte and on the school lunch line. In addition to student-level outcomes, changes in availability of fruits, vegetables, and lower fat snacks in home and school environments were evaluated. The TEENS study was conducted from 1997 to 2000. RESULTS: Parents of students in intervention schools reported making healthier choices when grocery shopping as compared to parents of students in control schools (P = 0.01). No intervention effects were evident from a home food inventory. Compared to control schools, intervention schools offered (P = 0.04) and sold (P = 0.07) a higher proportion of healthier foods on a la carte, but no effects were seen for fruit and vegetables sales as part of the regular meal pattern lunch. CONCLUSION: Our results show mixed results for positively influencing adolescents' school and home environments.

Choice Behavior↗

PubMed2006

A comparison of permutation and mixed-model regression methods for the analysis of simulated data in the context of a group-randomized trial.

Our first purpose was to determine whether, in the context of a group-randomized trial (GRT) with Gaussian errors, permutation or mixed-model regression methods fare better in the presence of measurable confounding in terms of their Monte Carlo type I error rates and power. Our results indicate that given a proper randomization, the type I error rate is similar for both methods, whether unadjusted or adjusted, even in small studies. However, our results also show that should the investigator face the unfortunate circumstance in which modest confounding exists in the only realization available, the unadjusted analysis risks a type I error; in this regard, there was little to distinguish the two methods. Finally, our results show that power is similar for the two methods and, not surprisingly, better for the adjusted tests. Our second purpose was to examine the relative performance of permutation and mixed-model regression methods in the context of a GRT when the normality assumptions underlying the mixed model are violated. Published studies have examined the impact of violation of this assumption at the member level only. Our findings indicate that both methods perform well when the assumption is violated so long as the ICC is very small and the design is balanced at the group level. However, at ICC>or=0.01, the permutation test carries the nominal type I error rate while the model-based test is conservative and so less powerful. Binomial group- and member-level errors did not otherwise change the relative performance of the two methods with regard to confounding.

Computer Simulation↗

PubMed2006

Analysis strategies for a community trial to reduce adolescent ATOD use: a comparison of random coefficient and ANOVA/ANCOVA models.

The Community Youth Development Study (CYDS) will evaluate the Communities That Care (CTC) operating system for its effects on alcohol, tobacco, drug use, and other outcomes among adolescents resident in the 24 participating communities. The CYDS employs a combination of both cross-sectional and cohort designs. We use data from an earlier study that included the CYDS communities to estimate power for CYDS intervention effects given several analytic models that might be applied to the multiple baseline and follow-up surveys that define the CYDS cross-sectional design. We compare pre-post mixed-model ANCOVA models against random coefficients models, both in one- and two-stage versions. The two-stage pre-post mixed-model ANCOVA offers the best power for the primary outcomes and will provide adequate power for detection of modest but important intervention effects.

Adolescent↗

PubMed2006

Ethnic differences in predictors of adolescent smoking onset and escalation: a longitudinal study from 7th to 12th grade.

The present study sought to determine whether risk factors for cigarette smoking onset have a stronger influence on Black versus White children, and whether those patterns differ for nonsmokers versus experimental smokers. As part of a larger study, 5,213 seventh graders were surveyed annually for 5 years. The survey instrument assessed cigarette smoking, along with a variety of background variables thought to influence smoking. Results indicated that rebelliousness predicted smoking onset for Black nonsmokers; peer modeling was more influential for Whites. For both ethnicities, socially isolated children were at increased risk. The variables that predicted the shift from experimental to regular smoking were for the most part different from those that predicted smoking onset. Specifically, youths who lived with smokers, viewed smoking as a means to a goal, and experienced few adverse physiological effects of smoking were more likely to increase their cigarette consumption. Overall, we found that, contrary to previous research, risk factors for smoking differed across ethnicity. Further, smoking onset appears to be shaped by forces different from those that accelerate consumption.

Adolescent↗

PubMed2006

School-level intraclass correlation for physical activity in sixth grade girls.

PURPOSE: The Trial for Activity in Adolescent Girls (TAAG) is a group-randomized trial (GRT) to reduce the usual decline in moderate to vigorous physical activity (MVPA) among middle school girls. We report the school-level intraclass correlation (ICC) for MVPA from the TAAG baseline survey of sixth grade girls and describe the relationship between the schedule of data collection and the ICC. METHODS: Each of six sites recruited six schools and randomly selected 60 sixth grade girls from each school; 74.2% participated. Girls were grouped in waves defined by the date measurements began and asked to wear an Actigraph accelerometer for 6 d. Occasional missing data were replaced by imputation, and counts above 1500 per 30 s were treated as MVPA, converted into metabolic equivalents (METs), and summed over 6 a.m.-midnight to provide MET-minutes per 18-h day. Mixed-model regression was used to estimate ICC. RESULTS: The school-level ICC were higher when estimated from a single wave compared with three waves (e.g., 0.057 vs 0.022) and across weekdays compared with weekend days (e.g., 0.024 vs 0.012). Power in a new trial would be greater with some schedules (e.g., 88% given three waves and 6 d) than with others (e.g., 23% given one wave and Tuesday only). CONCLUSIONS: The schedule of data collection can have a dramatic effect on the ICC for MVPA. In turn, this can have a dramatic effect on the standard error for an intervention effect and on power. Investigators will need to consider the expected magnitude of the ICC and the validity of the MVPA estimates associated with their data collection schedule in planning a new study.

Child↗

PubMed2005

Design of the Trial of Activity in Adolescent Girls (TAAG).

The primary aim of the Trial of Activity in Adolescent Girls (TAAG) is to test an intervention to reduce by half the age-related decline in moderate to vigorous physical activity (MVPA) in middle school girls. The intervention will be evaluated using a group-randomized trial involving 36 middle schools. The primary endpoint is the mean difference in intensity-weighted minutes (i.e., MET-minutes) of MVPA between intervention and comparison schools assessed using accelerometry. The TAAG study design calls for two cross-sectional samples, one drawn from 6th graders at the beginning of the study and the second drawn from 8th graders at the end of the study following the 2-year implementation of the intervention. An important strength of this design over a cohort design is the consistency with the goals of TAAG, which focus on environmental-level rather than individual-level interventions to produce change. The study design specifies a recruitment rate of 80% and a smaller sample of girls at baseline (n=48 per school) than at follow-up (n=96 per school). A two-stage model will be used to test the primary hypothesis. In the first stage, MET-weighted minutes of MVPA will be regressed on school, time (baseline or follow-up), their interaction, ethnicity and week of data collection. The second stage analysis will be conducted on the 72 adjusted means from the first stage. In the main-effects model, we will regress the follow-up school mean MET-weighted minutes of MVPA on study condition, adjusting for the baseline school mean. The TAAG study addresses an important health behavior, and also advances the field of group-randomized trials through the use of a study design and analysis plan tailored to serve the main study hypothesis.

Adolescent↗

PubMed2005

Empirically supported treatments or type I errors? Problems with the analysis of data from group-administered treatments.

When treatments are administered in groups, clients interact in ways that lead to violations of a key assumption of most statistical analyses-the assumption of independence of observations. The resulting dependencies, when not properly accounted for, can increase Type I errors dramatically. Of the 33 studies of group-administered treatment on the empirically supported treatments list, none appropriately analyzed their data. The current authors provide corrections that can be applied to improper analyses. After the corrections, only 12.4% to 68.2% of tests that were originally reported as significant remained significant, depending on what assumptions were made about how large the dependencies among observations really are. Of the 33 studies, 6-19 studies no longer had any significant results after correction. The authors end by providing recommendations for researchers planning group-administered treatment research.

Analysis of Variance↗

PubMed2005

Increasing the degrees of freedom in existing group randomized trials: the df* approach.

This study describes a method for incorporating external estimates of intraclass correlation to improve the precision for the analysis of an existing group-randomized trial. The authors use a random-effects meta-analytic approach to pool the information across studies, which takes into account any interstudy heterogeneity that may exist. This approach can be used in several different situations to estimate the degrees of freedom available for an adjusted test of the intervention effect in a study where the challenges of group-randomized trials were not fully considered when the study was planned. The authors discuss the limitations of this approach and the circumstances in which it is likely to be helpful.

Humans↗

PubMed2005

Increasing the degrees of freedom in future group randomized trials: the df* approach.

This article builds on the previous article by Blitstein et al. (2005), which showed how external estimates of intraclass correlation can be used to improve the precision for the analysis of an existing group randomized trial. The authors extend that work to sample size estimation and power analysis for future group-randomized trials. Often this approach will allow a smaller study than would otherwise be possible without sacrificing statistical power. Such studies are needed, for example, as pilot studies to help plan for a full-scale efficacy trial, as replication studies, or in situations in which resource constraints prohibit a larger trial. The authors discuss the circumstances under which this strategy will be most helpful and the risks associated with conducting smaller studies.

Humans↗

PubMed2005

Predictors of violent behavior in an early adolescent cohort: similarities and differences across genders.

The authors assessed a cohort of 2,335 students from the Minneapolis, Minnesota, area to identify predictors of violent behavior and to determine whether the predictors varied by gender. The sample was 76% White; boys and girls were equally represented. The majority lived with two parents. A measure of violent behavior collected at the end of the eighth-grade year (2000) was entered into Poisson regression against baseline data collected at the beginning of the seventh-grade year (1998). Predictors of violent behavior influencing both boys and girls included depressive symptoms, perceived invulnerability to negative future events, paternal nonauthoritative behavior, and drinking alcohol. Additional predictors of violent behavior specific to girls included both risk and protective factors.

Adolescent↗

PubMed2005

Imputation of missing data when measuring physical activity by accelerometry.

PURPOSE: We consider the issue of summarizing accelerometer activity count data accumulated over multiple days when the time interval in which the monitor is worn is not uniform for every subject on every day. The fact that counts are not being recorded during periods in which the monitor is not worn means that many common estimators of daily physical activity are biased downward. METHODS: Data from the Trial for Activity in Adolescent Girls (TAAG), a multicenter group-randomized trial to reduce the decline in physical activity among middle-school girls, were used to illustrate the problem of bias in estimation of physical activity due to missing accelerometer data. The effectiveness of two imputation procedures to reduce bias was investigated in a simulation experiment. Count data for an entire day, or a segment of the day were deleted at random or in an informative way with higher probability of missingness at upper levels of body mass index (BMI) and lower levels of physical activity. RESULTS: When data were deleted at random, estimates of activity computed from the observed data and those based on a data set in which the missing data have been imputed were equally unbiased; however, imputation estimates were more precise. When the data were deleted in a systematic fashion, the bias in estimated activity was lower using imputation procedures. Both imputation techniques, single imputation using the EM algorithm and multiple imputation (MI), performed similarly, with no significant differences in bias or precision. CONCLUSIONS: Researchers are encouraged to take advantage of software to implement missing value imputation, as estimates of activity are more precise and less biased in the presence of intermittent missing accelerometer data than those derived from an observed data analysis approach.

Acceleration↗

PubMed2004

Assessing the most powerful analysis method for school-based intervention studies with alcohol, tobacco, and other drug outcomes.

This article compares four mixed-model analyses valid for group-randomized trials (GRTs) involving a nested cohort design with a single pretest and a single posttest, the most common design used in GRTs. This study makes estimates of intraclass correlations (ICCs) available to investigators planning GRTs with alcohol, tobacco, and other drug measures as the outcomes of interest. It also provides formulae demonstrating the potential benefits to the standard error of the intervention effect of both adjustments for fixed and time-varying covariates, as well as correlations over time. These estimates will allow other researchers using these variables to plan their studies by performing a priori power analyses for any of four common analytic options.

Adolescent↗

PubMed2004

Sagittal plane kinematics of a mobile-bearing unicompartmental knee arthroplasty at 10 years: a comparative in vivo fluoroscopic analysis.

This study compares in vivo sagittal plane kinematics of the Oxford mobile-bearing unicompartmental knee arthroplasty (UKA) at 1 and 10 years' postsurgery (10 knees) with a fixed-bearing total knee arthroplasty (TKA) (5 knees) and the normal knee (5 knees), using dynamic fluoroscopic measurement of the patellar tendon angle. The Oxford UKA preserved normal changes in patellar tendon angle with flexion, and this was maintained at 10 years. In contrast, an abnormal pattern was seen with the TKA. The results suggest that a normal pattern of sagittal plane knee kinematics exists following Oxford medial UKA and imply that anterior cruciate ligament function is maintained in the long term.

Adult↗

PubMed2004

Social desirability bias in self-reported dietary, physical activity and weight concerns measures in 8- to 10-year-old African-American girls: results from the Girls Health Enrichment Multisite Studies (GEMS).

BACKGROUND: Social desirability (SocD) may bias children's self-reported health behaviors and attitudes and confound relationships with health outcome measures. METHODS: Ninety-five, 8- to 10-year-old African-American girls completed dietary recalls, a physical activity checklist, psychosocial questionnaires related to diet, and physical activity; and 3 days of physical activity monitoring. Potential SocD construct bias was investigated by comparing designated criterion measures of physical activity, beverage intake, and body mass index (BMI) with respective self-reported measures related to activity, beverage preferences, and body image and weight concerns in cross-sectional regression models. Potential confounding by SocD of associations between self-reported behaviors with BMI was assessed using change-in-coefficient regression analyses. RESULTS: Controlling for age and BMI, overestimates of self-reported activity (P = 0.02), underestimates of sweetened beverage preferences (P = 0.02), and lower ratings of weight concerns and dieting behaviors (P's < 0.05) were related to SocD. Confounding by SocD of associations between self-reported physical activity and energy intake with BMI was found. CONCLUSIONS: In 8- to 10-year-old African-American girls, SocD was found to bias self-reports of diet and physical activity and confound associations between BMI and self-reported physical activity and energy intake. Methods to measure and control SocD bias are needed to reduce potential distortion of relationships between diet and physical activity and health outcomes.

Black or African American↗

PubMed2004

School-based approaches to affect adolescents' diets: results from the TEENS study.

This article reports on the outcomes of the Teens Eating for Energy and Nutrition at School (TEENS) study, a 2-year intervention study conducted in 16 middle schools with a goal of increasing students' intakes of fruits, vegetables, and lower fat foods. Despite positive interim results for students randomized to intervention schools, the positive effects of the intervention were not seen for the primary outcomes at the end of the 2nd year. Positive effects were seen only for a food choice score (suggesting that the students usually choose lower versus higher fat foods) and not for measures of food intake. Future studies may need to take a step back toward more controlled efficacy studies in working with this age-group. In addition, future work may consider the use of peer leaders, more intensive teacher training, ongoing formative assessment, and the testing of more powerful environmental change intervention strategies.

Adolescent↗