scholarly journals A Novel Behavioral Intervention for Rural Appalachian Cancer Survivors: Participatory Development and Proof-of-Concept Testing of weSurvive (Preprint)

2020 ◽  
Author(s):  
Kathleen Joyce Porter ◽  
Katherine E. Moon ◽  
Virginia T. LeBaron ◽  
Jamie Marie Zoellner
Keyword(s):  
Physical Activity ◽  
Rural Communities ◽  
Cancer Survivors ◽  
Behavioral Intervention ◽  
Behavioral Interventions ◽  
Effect Sizes ◽  
Proof Of Concept ◽  
Cohen’S D ◽  
Limited Efficacy ◽  
Cohen's D

BACKGROUND Addressing the modifiable health behaviors of cancer survivors is important in rural communities disproportionately impacted by cancer, such as those in Central Appalachia. Yet, such efforts are limited and existing interventions may not meet the needs of rural communities. OBJECTIVE To describe the development and proof-of-concept testing of weSurvive, a behavioral intervention for rural, Appalachian cancer survivors. METHODS The ORBIT Model, a systematic model for designing behavioral interventions, informed the study design. An advisory team (n=10) of community stakeholders and researchers engaged in a participatory process to identify desirable features for an intervention targeting rural cancer survivors. The resulting multi-modal, 13-week weSurvive intervention was tested with two cohorts of participants (n=12). Intervention components include in-person group classes and group and individualized telehealth calls. Indicators reflecting five feasibility domains (acceptability, demand, practicality, implementation, and limited-efficacy) were measured using concurrent mixed methods. Pre-post changes and effect sizes were assessed for limited-efficacy data. Descriptive statistics and content analysis were used to summarize data for other domains. RESULTS Participants reported high program satisfaction (acceptability). Indicators of demand included enrollment of cancer survivors with a variety of cancer types and attrition (8%), recruitment (59%), and attendance (62%) rates. Dietary (59%) and physical activity (83%) behaviors were the most frequently chosen behavioral targets. However, findings indicate that participants did not fully engage with action planning activities, including setting specific goals. Implementation indicators showed 100% researcher fidelity to delivery and retention protocols, while practicality indicators highlighted participation barriers. Pre-post changes in limited-efficacy outcomes regarding cancer-specific beliefs/knowledge and behavior-specific self-efficacy, intentions, and behaviors were in the desired directions and demonstrated small and moderate effect sizes. In regards to dietary and physical activity behaviors, effect sizes for fruit and vegetable intake, snack foods, dietary fat, and minutes of moderate-vigorous activity were small (Cohen’s d = 0.00 to 0.32), while the effect sizes for change in physical activity were small to medium (Cohen’s d = 0.22 to 0.45). CONCLUSIONS weSurvive has the potential to be a feasible intervention for rural Appalachian cancer survivors. weSurvive will be refined and further tested based on study findings, which also provide recommendations for other behavioral interventions targeting rural cancer survivors. Recommendations include adding additional recruitment and engagement strategies to increase demand and practicality as well as increasing accountability and motivation for participant involvement in self-monitoring activities through the use of technology (e.g., text messaging). Furthermore, this study highlights the importance of using a systematic model (e.g., the ORBIT framework) and small scale proof-of-concept studies when adapting or developing behavioral interventions, as doing so identifies the intervention potential for feasibility and identifies areas needing improvement prior to the more time and resource-intensive efficacy testing. CLINICALTRIAL n/a because not an RCT

scholarly journals Effects of Theory-Based Behavioral Interventions on Physical Activity Among Overweight and Obese Female Cancer Survivors: A Systematic Review of Randomized Controlled Trials

2017 ◽  
Vol 17 (2) ◽  
pp. 226-236 ◽  
Author(s):  
Amerigo Rossi ◽  
Ciarán Friel ◽  
Leeja Carter ◽  
Carol Ewing Garber
Keyword(s):  
Physical Activity ◽  
Cancer Survivors ◽  
Controlled Trials ◽  
Randomized Controlled ◽  
Cohen’S D ◽  
Home Based ◽  
Obese Female ◽  
Health Related ◽  
Cohen's D ◽  
Female Cancer Survivors

Purpose. To determine whether theory-based physical activity (PA) interventions for overweight and obese female cancer survivors lead to increased PA and improved health. Methods. This systematic review examined randomized controlled trials analyzing the impact of theory-based PA interventions on overweight and obese female cancer survivors through December 2016. Searches of 5 electronic databases revealed 10 articles that included 1351 participants who met the inclusion criteria. Results. Participants were primarily non-Hispanic white (74%-100%) breast or endometrial cancer survivors. Intervention characteristics and PA assessment tools varied greatly. Adherence (68%-99%) and retention (79%-100%) were relatively high. Social cognitive theory was utilized as the theoretical construct in 9 of the 10 studies. Home-based interventions led to small improvements in PA (Cohen’s d range = 0.25-0.31), whereas home-based plus center-based interventions led to moderate to large improvements (Cohen’s d range = 0.45-1.02). Only three of the studies assessed psychosocial behavioral processes associated with PA, and the results were mixed. Health-related outcomes included improvements in aerobic fitness (Cohen’s d = 0.32-1.1 in 5 studies), large absolute decreases in waist circumferences (>6 cm in 3 of 5 studies; Cohen’s d = −0.31 to −1.02), and no change in inflammatory biomarkers (in 2 studies). Only one serious adverse event (pelvic stress fracture) was attributed to the interventions. Conclusions. Theory-based PA interventions are safe and feasible for overweight and obese female cancer survivors. Interventions that include a center-based component showed moderate to large effect sizes for PA. Future studies should evaluate behavioral variables and more health-related clinical outcomes.

Comparing effect sizes in follow-up studies: ROC Area, Cohen's d, and r.

2005 ◽  
Vol 29 (5) ◽  
pp. 615-620 ◽  
Author(s):  
Marnie E. Rice ◽  
Grant T. Harris
Keyword(s):  
Effect Sizes ◽  
Cohen’S D ◽  
Follow Up Studies ◽  
Roc Area ◽  
Cohen's D

scholarly journals Does the Effect of a Physical Activity Behavioral Intervention Vary by Characteristics of People with Multiple Sclerosis?

2015 ◽  
Vol 17 (2) ◽  
pp. 65-72 ◽  
Author(s):  
Robert W. Motl ◽  
Deirdre Dlugonski ◽  
Lara A. Pilutti ◽  
Rachel E. Klaren
Keyword(s):  
Physical Activity ◽  
Multiple Sclerosis ◽  
Behavioral Intervention ◽  
Behavioral Interventions ◽  
Weight Status ◽  
Interindividual Variability ◽  
Vigorous Physical Activity ◽  
Normal Weight ◽  
Analysis Of Covariance ◽  
Disability Status

Background: Behavioral interventions have significantly increased physical activity in people with multiple sclerosis (MS). Nevertheless, there has been interindividual variability in the pattern and magnitude of change. This study documented the efficacy and variability of a behavioral intervention for changing physical activity and examined the possibility that efficacy varied by the characteristics of individuals with MS. Methods: Eighty-two people with MS were randomly assigned to one of two conditions: behavioral intervention (n = 41) or waitlist control (n = 41). We collected information before the study on MS type, disability status, weight status based on body-mass index, and current medications. Furthermore, all participants completed the Godin Leisure Time Exercise Questionnaire and the abbreviated International Physical Activity Questionnaire and wore an accelerometer for 1 week to measure minutes of moderate-to-vigorous physical activity before and after the 6-month intervention period. Results: Analysis of covariance (ANCOVA) indicated that participants in the behavioral intervention had significantly higher levels of physical activity than control participants after the 6-month period (P < .001). There was substantial interindividual variability in the magnitude of change, and ANCOVA indicated that MS type (relapsing vs. progressive) (P < .01), disability status (mild vs. moderate) (P < .01), and weight status (normal weight vs. overweight/obese) (P < .05) moderated the efficacy of the behavioral intervention. Conclusions: The behavioral intervention was associated with improvements in physical activity, particularly for those with mild disability, relapsing-remitting MS, or normal weight status.

scholarly journals Efecto y satisfacción de un programa de actividad física controlada por pulsómetro en el índice de masa corporal de escolares con sobrepeso-obesidad (Effect of and satisfaction with a program of physical activity controlled through heart rate monitors on

Retos ◽  
2017 ◽  
pp. 179-184
Author(s):  
Emilio J Martinez-López ◽  
Jesús Moreno-Cerceda ◽  
Sara Suarez-Manzano ◽  
Alberto Ruiz-Ariza
Keyword(s):  
Physical Activity ◽  
Heart Rate ◽  
Family Health ◽  
The Body ◽  
Control Group ◽  
Heart Rate Monitor ◽  
Sport Practice ◽  
Cohen’S D ◽  
Young Students ◽  
Cohen's D

Sustituir el tiempo sedentario por la práctica sistemática de actividad física (AF) es uno de los grandes retos  educativos y sociales dirigidos a jóvenes con sobrepeso-obesidad. El objetivo principal fue analizar el efecto en el índice de masa corporal (IMC) de un programa de AF extraescolar que empleó el pulsómetro como mecanismo para cuantificar el volumen e intensidad del ejercicio. Participaron 69 escolares con sobrepeso-obesidad de 9 a 12 años. La muestra se aleatorizó en grupo con programa y pulsómetro (GE1, n=23), grupo con solo programa (GE2, n=23), y grupo control que no realizó programa ni empleó pulsómetro (GC, n=23). Los resultados mostraron que GE1 había disminuido el IMC respecto al GC a los dos y tres meses de intervención (-1.65 kg/m2; p=.037, d de Cohen=.786; y -2.02 kg/m2, p=.006, d de Cohen=.895, respectivamente). GE1 incrementó significativamente el tiempo diario de intensidad máxima de AF medida por el pulsómetro (p=.028). El 86.9% y el 60.8% de los alumnos del GE1 y GE2 respectivamente afirmaron estar bastante o totalmente de acuerdo con el ítem “He comprobado que realizo más actividad física diaria que antes”. La mayoría de niños y padres del GE1 consideraron la experiencia como positiva y motivante para realizar más AF. Se concluye que un programa dirigido desde la Educación Física, que combina AF extraescolar y emplea el pulsómetro como mecanismo de control, disminuye el IMC en jóvenes con sobrepeso-obesidad después de dos meses de aplicación, aumenta la motivación por la práctica físico-deportiva, e implica cambios positivos en los hábitos de salud familiares. Abstract. Replacing sedentary time with systematic practice of PA is one of the major social and health challenges of globalized world. The main aim of this research was to analyze the effect of a program based on extracurricular PA, using heart rate monitor to quantify the volume and intensity of PA, on the body mass index (BMI). 69 young students with overweight-obesity aged nine to 12 years participated in this study. The sample was randomly split in two groups: PA program and heart rate monitor (EG1, n=23), PA program without heart rate monitor (EG2, n=23), and control group, whose members did not carry out any program nor used any heart rate monitor (CG, n=23). Results showed that GE1 decreased BMI more than CG after two and three months of intervention (-1.65 kg/m2; p=.037, Cohen’s d=.786; y -2.02 kg/m2, p=.006, Cohen’s d =.895, respectively). G1 significantly increased the daily time of PA at maximum intensity measured by the heart rate monitor (p=.028). 86.9% and 60.8% of students in EG1 and EG2 respectively, were quite or totally in agreement with the item "I have verified that I carry out more physical activity daily than before". The majority of children and parents in EG1 considered the experience as positive and motivating to practice more PA. A program focused on Physical Education and combining extracurricular PA and heart rate monitor as a control mechanism, decreases BMI in overweight-obese young students after two months of application, increases motivation towards PA and sport practice, and implies positive changes in family health habits.

scholarly journals Effect Size Guidelines, Sample Size Calculations, and Statistical Power in Gerontology

2019 ◽  
Vol 3 (4) ◽  
Author(s):  
Christopher R Brydges
Keyword(s):  
Individual Differences ◽  
Sample Size ◽  
Effect Size ◽  
Effect Sizes ◽  
Group Differences ◽  
Cohen’S D ◽  
Pearson's R ◽  
Sample Size Calculations ◽  
Cohen's D ◽  
Pearson’S R

Abstract Background and Objectives Researchers typically use Cohen’s guidelines of Pearson’s r = .10, .30, and .50, and Cohen’s d = 0.20, 0.50, and 0.80 to interpret observed effect sizes as small, medium, or large, respectively. However, these guidelines were not based on quantitative estimates and are only recommended if field-specific estimates are unknown. This study investigated the distribution of effect sizes in both individual differences research and group differences research in gerontology to provide estimates of effect sizes in the field. Research Design and Methods Effect sizes (Pearson’s r, Cohen’s d, and Hedges’ g) were extracted from meta-analyses published in 10 top-ranked gerontology journals. The 25th, 50th, and 75th percentile ranks were calculated for Pearson’s r (individual differences) and Cohen’s d or Hedges’ g (group differences) values as indicators of small, medium, and large effects. A priori power analyses were conducted for sample size calculations given the observed effect size estimates. Results Effect sizes of Pearson’s r = .12, .20, and .32 for individual differences research and Hedges’ g = 0.16, 0.38, and 0.76 for group differences research were interpreted as small, medium, and large effects in gerontology. Discussion and Implications Cohen’s guidelines appear to overestimate effect sizes in gerontology. Researchers are encouraged to use Pearson’s r = .10, .20, and .30, and Cohen’s d or Hedges’ g = 0.15, 0.40, and 0.75 to interpret small, medium, and large effects in gerontology, and recruit larger samples.

A School-Based Physical Activity and Motor Development Program for Low-Fit Adolescent Females: The Sport4Fun Pilot Randomized Controlled Trial

2018 ◽  
Vol 6 (2) ◽  
pp. 345-356 ◽  
Author(s):  
Jodie Andruschko ◽  
Anthony D. Okely ◽  
Phil Pearson
Keyword(s):  
Physical Activity ◽  
Secondary School ◽  
Intervention Group ◽  
Development Program ◽  
Adolescent Females ◽  
Control Group ◽  
Fundamental Movement Skill ◽  
Cohen’S D ◽  
School Based ◽  
Cohen's D

This study examined the feasibility and potential efficacy of a multi-faceted secondary school–based intervention among low-fit adolescent females. TheSport4Funprogram was designed to promote physical activity participation, fundamental movement skill proficiency, perceived physical competence, and enjoyment of physical activity in secondary school students. The intervention consisted of three components including two practical components—weekly movement skill activities for 90 min during compulsory school sport and sports-based activities for 60 min after school (non-compulsory) for 6 months—and one theoretical component—three 15-min theory sessions completed during homeroom (or roll call) time per week. The control group participated in their regular school activities. Compared with females in the control group, those in the intervention group showed a greater increase in total weekday accelerometer counts per min (adjusted difference, 77.49; 95% CI, 8.21–132.77;p = .03; Cohen’s d = 1.26). The difference in total fundamental movement skill components mastered favored the intervention group but was not statistically significant (adjusted difference, 1.48; 95% CI, −1.21–4.17;p = .26, Cohen’s d = 0.48). Targeting fundamental movement skills may be a potentially novel and motivating way to promote activity among low-fit adolescent girls; however, challenges in recruitment and implementation warrant further investigation before adopting this approach more broadly.

scholarly journals eHealth-Based Behavioral Intervention for Increasing Physical Activity in Persons With Multiple Sclerosis: Fidelity Protocol for a Randomized Controlled Trial (Preprint)

2018 ◽  
Author(s):  
Stephanie L Silveira ◽  
Justin McCroskey ◽  
Brooks C Wingo ◽  
Robert W Motl
Keyword(s):  
Physical Activity ◽  
Multiple Sclerosis ◽  
Behavior Change ◽  
Behavioral Intervention ◽  
Behavioral Interventions ◽  
Health Behavior Change ◽  
Phase Iii ◽  
Monitoring Plan ◽  
Randomized Controlled ◽  
Study Results

BACKGROUND The rate of physical activity is substantially lower in persons with multiple sclerosis (MS) than in the general population. This problem can be reversed through rigorous and reproducible delivery of behavioral interventions that target lifestyle physical activity in MS. These interventions are, in part, based on a series of phase II randomized controlled trials (RCTs) supporting the efficacy of an internet-delivered behavioral intervention, which is based on social cognitive theory (SCT) for increasing physical activity in MS. OBJECTIVE This paper outlines the strategies and monitoring plan developed based on the National Institutes of Health Behavior Change Consortium (NIH BCC) treatment fidelity workgroup that will be implemented in a phase III RCT. METHODS The Behavioral Intervention for Physical Activity in Multiple Sclerosis (BIPAMS) study is a phase III RCT that examines the effectiveness of an internet-delivered behavioral intervention based on SCT and is supported by video calls with a behavioral coach for increasing physical activity in MS. BIPAMS includes a 6-month treatment condition and 6-month follow-up. The BIPAMS fidelity protocol includes the five areas outlined by the NIH BCC. The study design draws on the SCT behavior-change strategy, ensures a consistent dose within groups, and plans for implementation setbacks. Provider training in theory and content will be consistent between groups with monitoring plans in place such as expert auditing of calls to ensure potential drift is addressed. Delivery of treatment will be monitored through the study website and training will focus on avoiding cross-contamination between conditions. Receipt of treatment will be monitored via coaching call notes and website monitoring. Lastly, enactment of treatment for behavioral and cognitive skills will be monitored through coaching call notes among other strategies. The specific strategies and monitoring plans will be consistent between conditions within the constraints of utilizing existing evidence-based interventions. RESULTS Enrollment began in February 2018 and will end in September 2019. The study results will be reported in late 2020. CONCLUSIONS Fidelity-reporting guidelines provided by the NIH BCC were published in 2004, but protocols are scarce. This is the first fidelity-monitoring plan involving an electronic health behavioral intervention for increasing physical activity in MS. This paper provides a model for other researchers utilizing the NIH BCC recommendations to optimize the rigor and reproducibility of behavioral interventions in MS. CLINICALTRIAL ClinicalTrials.gov NCT03490240; https://www.clinicaltrials.gov/ct2/show/NCT03490240. INTERNATIONAL REGISTERED REPOR DERR1-10.2196/12319

scholarly journals Many Labs 2: Investigating Variation in Replicability Across Sample and Setting

2018 ◽  
Author(s):  
Richard Anthony Klein ◽  
Michelangelo Vianello ◽  
Fred Hasselman ◽  
Byron Gregory Adams ◽  
Reginald B. Adams ◽  
...  
Keyword(s):  
Opposite Direction ◽  
Statistical Significance ◽  
Effect Sizes ◽  
Significant Heterogeneity ◽  
Cohen’S D ◽  
Task Order ◽  
Q Statistic ◽  
Cohen's D

We conducted preregistered replications of 28 classic and contemporary published findings with protocols that were peer reviewed in advance to examine variation in effect magnitudes across sample and setting. Each protocol was administered to approximately half of 125 samples and 15,305 total participants from 36 countries and territories. Using conventional statistical significance (p < .05), fifteen (54%) of the replications provided evidence in the same direction and statistically significant as the original finding. With a strict significance criterion (p < .0001), fourteen (50%) provide such evidence reflecting the extremely high powered design. Seven (25%) of the replications had effect sizes larger than the original finding and 21 (75%) had effect sizes smaller than the original finding. The median comparable Cohen’s d effect sizes for original findings was 0.60 and for replications was 0.15. Sixteen replications (57%) had small effect sizes (< .20) and 9 (32%) were in the opposite direction from the original finding. Across settings, 11 (39%) showed significant heterogeneity using the Q statistic and most of those were among the findings eliciting the largest overall effect sizes; only one effect that was near zero in the aggregate showed significant heterogeneity. Only one effect showed a Tau > 0.20 indicating moderate heterogeneity. Nine others had a Tau near or slightly above 0.10 indicating slight heterogeneity. In moderation tests, very little heterogeneity was attributable to task order, administration in lab versus online, and exploratory WEIRD versus less WEIRD culture comparisons. Cumulatively, variability in observed effect sizes was more attributable to the effect being studied than the sample or setting in which it was studied.

scholarly journals Association between Fruit and Vegetable Intake and Physical Activity among Breast Cancer Survivors: A Longitudinal Study

2021 ◽  
Vol 28 (6) ◽  
pp. 5025-5034
Author(s):  
Steve Amireault ◽  
Jennifer Brunet ◽  
Jordan D. Kurth ◽  
Angela J. Fong ◽  
Catherine M. Sabiston
Keyword(s):  
Breast Cancer ◽  
Physical Activity ◽  
Cancer Survivors ◽  
Behavioral Interventions ◽  
Breast Cancer Survivors ◽  
Vegetable Intake ◽  
Primary Treatment ◽  
Rate Of Change ◽  
Fruit And Vegetable Intake ◽  
Fruit And Vegetable

This study examines the association between rates of change in daily fruit and vegetable intake and in weekly levels of moderate-to-vigorous intensity physical activity (MVPA) over a 15-month period in women following primary treatment completion for breast cancer. Breast cancer survivors (N = 199) self-reported fruit and vegetable intake and wore an accelerometer for 7 consecutive days to measure levels of MVPA on five occasions every 3 months. Multivariate latent growth modeling revealed that the rate of change in fruit and vegetable intake was not associated with the rate of change in levels of MVPA. Baseline (Mean = 3.46 months post-treatment) levels of MVPA were not associated with the rate of change of daily fruit and vegetable intake; likewise, baseline fruit and vegetable intake was not associated with the rate of change in levels of MVPA. Behavioral interventions promoting fruit and vegetable intake should not be assumed to yield concomitant effects in promoting MVPA or vice versa.

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