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Dive into the research topics where Marie A. Sillice is active.

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Featured researches published by Marie A. Sillice.


Preventive Medicine | 2012

Treated individuals who progress to action or maintenance for one behavior are more likely to make similar progress on another behavior: Coaction results of a pooled data analysis of three trials

Andrea L. Paiva; James O. Prochaska; Hui Qing Yin; Joseph S. Rossi; Colleen A. Redding; Bryan Blissmer; Mark L. Robbins; Wayne F. Velicer; Jessica M. Lipschitz; Nicole R. Amoyal; Steven F. Babbin; Cerissa L. Blaney; Marie A. Sillice; Anne C. Fernandez; Heather McGee; Satoshi Horiuchi

OBJECTIVEnThis study compared, in treatment and control groups, the phenomena of coaction, which is the probability that taking effective action on one behavior is related to taking effective action on a second behavior.nnnMETHODSnPooled data from three randomized trials of Transtheoretical Model (TTM) tailored interventions (n=9461), completed in the U.S. in 1999, were analyzed to assess coaction in three behavior pairs (diet and sun protection, diet and smoking, and sun protection and smoking). Odds ratios (ORs) compared the likelihood of taking action on a second behavior compared to taking action on only one behavior.nnnRESULTSnAcross behavior pairs, at 12 and 24 months, the ORs for the treatment group were greater on an absolute basis than for the control group, with two being significant. The combined ORs at 12 and 24 months, respectively, were 1.63 and 1.85 for treatment and 1.20 and 1.10 for control.nnnCONCLUSIONSnThe results of this study with addictive, energy balance and appearance-related behaviors were consistent with results found in three studies applying TTM tailoring to energy balance behaviors. Across studies, there was more coaction within the treatment group. Future research should identify predictors of coaction in more multiple behavior change interventions.


Psychology Health & Medicine | 2018

Psychometric assessment of the processes of change scale for sun protection

Marie A. Sillice; Steven F. Babbin; Colleen A. Redding; Joseph S. Rossi; Andrea L. Paiva; Wayne F. Velicer

Abstract The fourteen-factor Processes of Change Scale for Sun Protection assesses behavioral and experiential strategies that underlie the process of sun protection acquisition and maintenance. Variations of this measure have been used effectively in several randomized sun protection trials, both for evaluation and as a basis for intervention. However, there are no published studies, to date, that evaluate the psychometric properties of the scale. The present study evaluated factorial invariance and scale reliability in a national sample (N = 1360) of adults involved in a Transtheoretical model tailored intervention for exercise and sun protection, at baseline. Invariance testing ranged from least to most restrictive: Configural Invariance (constraints only factor structure and zero loadings); Pattern Identity Invariance (equal factor loadings across target groups); and Strong Factorial Invariance (equal factor loadings and measurement errors). Multi-sample structural equation modeling tested the invariance of the measurement model across seven subgroups: age, education, ethnicity, gender, race, skin tone, and Stage of Change for Sun Protection. Strong factorial invariance was found across all subgroups. Internal consistency coefficient Alpha and factor rho reliability, respectively, were .83 and .80 for behavioral processes, .91 and .89 for experiential processes, and .93 and .91 for the global scale. These results provide strong empirical evidence that the scale is consistent, has internal validity and can be used in research interventions with population-based adult samples.


Tobacco Prevention and Cessation | 2017

Assessing demographic differences in decisional balance for smoking prevention and temptations to try smoking among adolescent subgroups

Marie A. Sillice; Steven F. Babbin; Andrea L. Paiva; Colleen A. Redding; Joseph S. Rossi; Wayne F. Velicer

INTRODUCTION Cigarette smoking initiation remains prevalent in adolescence. Effective prevention methods are needed to dissuade this behavior. Demographic factors are identified as important risk factors in the developmental nature of smoking in adolescence. The current study investigates potential demographic differences for two new trans-theoretical model measures, the Decisional Balance Inventory (pros and cons) for Smoking Prevention and the Temptations to Try Smoking Scale. METHODS A sample of 6th grade Rhode Island students from 20 middle schools (N = 4151) who were participating in a longitudinal and computer-delivered intervention for substance abuse prevention was assessed on these measures at baseline. Three MANOVA tests were conducted to assess the impact of race (White vs. Non-White), ethnicity (Hispanic vs. Non-Hispanic) and gender (male vs female). RESULTS Significant effects for race and ethnicity were found for Decisional Balance and Temptations to Try Smoking. For race, Whites reported lesser pros (p <.0001) and Non-Whites reported higher cons (p <.0001) and temptations to try smoking (p <.0001). Differences for ethnicity showed that Hispanics were higher on pros (p <.0001) and temptations to try smoking (p <.0001) than Non-Hispanics. Non-Hispanics reported higher cons (p <.0001). Gender differences were noted only for temptations to try smoking, and showed females were higher on this construct than males (p <.0001). The effect sizes were .01 or below. CONCLUSIONS The results did not demonstrate a strong association between these demographics and constructs, suggesting that tailored prevention methods based solely on these factors may not dissuade smoking in this group.


American Journal of Health Behavior | 2017

Who Enrolls in a Quit Smoking Program with Yoga Therapy

Beth C. Bock; Herpreet Thind; Shira Dunsiger; Joseph L. Fava; Ernestine Jennings; Bruce M. Becker; Bess H. Marcus; Rochelle K. Rosen; Marie A. Sillice

OBJECTIVESnYoga may improve stress, affect, and weight control, all of which are commonly cited barriers to quitting smoking. However, the importance of these concerns may vary by sex, race, ethnicity, and age. We examined smoking-relevant characteristics of individuals enrolling in an 8-week randomized controlled trial testing yoga as a complementary treatment to standard smoking cessation.nnnMETHODSnOf 958 callers, 227 were eligible and enrolled.nnnRESULTSnThe sample was 55% female, 86% non-Hispanic white, with a mean age of 46 years (SD = 12). Males smoked more cigarettes/ day than females and had lower motivation to quit smoking. Females were more likely to smoke for weight control, social and mood-related reasons, and had higher expectations for the efficacy of yoga. Age was negatively associated with the presence of other smokers in the household, and smoking in response to negative moods, and was positively associated with smoking rate, and confidence in quitting.nnnCONCLUSIONSnThis study demonstrated that both males and females were interested in a program offering yoga as a complementary therapy for smoking cessation. However, there were both sex and age-related differences with respect to smoking-related variables that may suggest a need to adapt the intervention for sub-populations.


Addictive Behaviors | 2014

Testing demographic differences for alcohol use initiation among adolescents for the decisional balance and situational temptation prevention inventories

Marie A. Sillice; Andrea L. Paiva; Steven F. Babbin; Heather McGee; Joseph S. Rossi; Colleen A. Redding; Kathryn S. Meier; Karin Oatley; Wayne F. Velicer

Alcohol use by middle school-aged students is a public health concern because of the numerous adverse social, health and psychological outcomes. Prevention programs attempt to intervene before alcohol use begins. A tailored, computer-delivered program for the prevention of alcohol use and a series of new transtheoretical model measures were developed, including decisional balance (Pros and Cons) of alcohol use and Situational Temptations to Try Alcohol. This study investigated if there were any demographic differences on these measures in a sample of 6th grade middle school students from 20 schools (N=4151) at baseline. Three factorial analysis of variance tests were conducted to explore the impact of race (whites vs. non-whites), ethnicity (Hispanics vs. Non-Hispanics) and gender (males vs. females). A significant two-way interaction effect was found between gender and ethnicity for Pros of Alcohol Use. A significant three-way interaction effect was found between gender, race and ethnicity for Cons of Alcohol Use. Main effects were found for the three demographic factors for Situational Temptations to Try Alcohol. However, the effect sizes for the interaction effects and main effects were very small (all below η(2)=.01), suggesting that race/ethnicity and gender alone may not be highly influential factors in the Decisional Balance for the Prevention of Alcohol and Situational Temptations to Try Alcohol in adolescence. The implications for these results and alcohol use prevention among this group are discussed.


mHealth | 2018

Differences in mobile phone affinity between demographic groups: implications for mobile phone delivered interventions and programs

Marie A. Sillice; Shira Dunsiger; Ernestine Jennings; Ryan Lantini; Beth C. Bock

BackgroundnThe impact of any intervention or program delivered through mobile phones (mHealth) may be influenced by the individual recipients relationship with his or her mobile phone. However, few studies have assessed the attitudes and preferences of different demographic groups with respect to mobile phone use. This study assessed whether individuals demographic characteristics [primary demographics (PD): race, ethnicity, gender and age] are influential factors in attitudes and behaviors associated with mobile use pattern, using the Mobile Phone Affinity Scale (MPAS). The MPAS examines six underlying constructs associated with mobile phone use: Connectedness, Productivity, Empowerment, Anxious Attachment, Addiction, and Continuous Use.nnnMethodsnU.S. adults (n=1,055, mean age 32.5 years, 10% Hispanic, 86.3% white) completed the MPAS and provided information about PD (e.g., race, ethnicity, age) and social demographic (SocD) characteristics (e.g., having children, employment). Chi-square analyses and multivariate analyses were used to assess the relationships among the PD and SocD variables, and MPAS constructs.nnnResultsnSignificant differences were found between PD and SocD variables (all P<0.01). Specifically, whites were more likely than non-whites to be married and to be living with children, while non-Hispanics tended to report higher household income and education than Hispanics. Women were more likely to report living with children and less likely to have full-time employment than men (all P<0.01). There was a significant effect of PD characteristics on MPAS constructs in that whites and women tended to score higher on some MPAS constructs than non-whites and men (all P<0.01). Similarly, some SocD characteristics including employment status and living with children were differentially associated with some MPAS constructs (all P<0.01).nnnConclusionsnResults indicate that there are differences in attitudes and use preferences to mobile phone use based on some of the primary and SocD demographic characteristics. These findings provide important insights into mHealth intervention components that will increase appeal to different subgroups.


International journal of yoga therapy | 2018

Yoga as a Complementary Therapy for Adults with Type 2 Diabetes: Design and Rationale of the Healthy, Active, and in Control (HA1C) Study

Herpreet Thind; Joseph L. Fava; Kate Morrow Guthrie; Laura R. Stroud; Geetha Gopalakrishnan; Marie A. Sillice; Naama Gidron; Beth C. Bock

Diabetes is the seventh leading cause of death in the United States. For most patients, medication alone is not sufficient to achieve glycemic control; attention must also be paid to multiple healthy behaviors including diet, regular physical activity, and stress management. Yoga, a mindfulness practice with emphasis on relaxation, meditation, and deep breathing, may have special relevance to people with type 2 diabetes mellitus (T2DM). Yoga practice may positively affect stress and other self-care tasks that will contribute to improved glycemic control. The Healthy, Active, and in Control (HA1C) study is designed to examine the feasibility and acceptability of yoga among adult patients with T2DM. In this pilot randomized controlled trial, adults with T2DM were randomly assigned to either a 12-week Iyengar Yoga intervention given twice weekly, or a twice-weekly 12-week program of traditional exercise (e.g., walking, stationary cycling). Assessments are conducted at the end of treatment (12 weeks) and at 3 and 6 months postintervention. The HA1C study will assess feasibility and acceptability (e.g., attendance/retention rates, satisfaction with program), glycemic outcomes (e.g., HbA1c, fasting blood glucose, postprandial blood glucose), and changes in physiological (e.g., salivary cortisol) and behavioral factors (e.g., physical activity, diet) relevant to the management of T2DM. Focus groups are conducted at the end of the intervention to explore participants experience with the program and their perception of the potential utility of yoga for diabetes management.


Ethnicity & Disease | 2017

Increasing Physical Activity in Black Women: Results from a Randomized Trial Conducted in Faith-Based Settings

Melicia C. Whitt-Glover; Moses V. Goldmon; Ziya Gizlice; Marie A. Sillice; Lyndsey M. Hornbuckle; Daniel P. Heil

ObjectivenThe Learning and Developing Individual Exercise Skills (L.A.D.I.E.S.) for a Better Life study compared a faith-integrated (FI) and a secular (SEC) intervention for increasing physical activity with a self-guided (SG) control group among African American women.nnnDesign/Setting/ParticipantsnL.A.D.I.E.S. was a cluster randomized, controlled trial. Churches (n=31) were randomized and women within each church (n=12 - 15) received the same intervention.nnnInterventionsnFI and SEC participants received 24 group-based sessions, delivered over 10 months. SG participants received printed materials to review independently for 10 months. Participants were followed for 12-months post-intervention to assess long-term intervention impact.nnnMain Outcome MeasuresnData on participant characteristics, physical activity, and intervention-related constructs were collected at baseline, 10 months, and 22 months.nnnResultsnIntervention session attendance was greater for FI compared with SEC participants (15.7 + 5.7 vs 12.4 + 7.3 sessions, respectively, P<.01). After 10 months, FI and SEC participants significantly increased daily walking (+1,451 and +1,107 steps/day, respectively) compared with SG participants (-128 steps/day). Increases were maintained after 22 months in the FI group compared with the SG group (+1092 vs. +336 daily steps, P<.01). Between-group changes in accelerometer-assessed physical activity were not statistically significant at any time point.nnnConclusionsnThe FI intervention is a feasible strategy for short- and long-term increases in physical activity among African American women. Additional dissemination and evaluation of the strategy could be useful for reducing chronic disease in this high-risk population.


American Journal of Health Behavior | 2017

Development and Validation of the Outcome Expectations for Yoga Scale

Herpreet Thind; Marie A. Sillice; Joseph L. Fava; Ryan Lantini; Santina Horowitz; Ernestine Jennings; Rochelle K. Rosen; James Carmody; Bruce M. Becker; Bess H. Marcus; Beth C. Bock

OBJECTIVEnOur objective was to develop an instrument that can measure outcome expectations of yoga and to evaluate the instrument for internal consistency and initial construct validity.nnnMETHODSnA 20-item scale was developed to assess physical, mental, and spiritual health benefits related to yoga practice among adults. The scale was tested in a baseline survey with adults participating in a clinical trial. Principal component analysis was used to investigate the internal structure of the measure. Outcome expectations for yoga were examined for demographic differences.nnnRESULTSnThe sample (N = 185) was 54% women, 89% white and had a mean age of 46 years. The final 20-item scale had high item loadings that ranged from .57 to .88 with a Cronbachs alpha value of .96. Significant differences were found in outcome expectation score by sex.nnnCONCLUSIONnThis newly developed scale can be used to assess outcome expectations for yoga and tailor interventions to promote adherence to yoga practice.


Journal of Yoga & Physical Therapy | 2016

Differences between Men and Women Enrolling in Smoking Cessation Programs Using Yoga as a Complementary Therapy

Herpreet Thind; Ernestine Jennings; Joseph L. Fava; Marie A. Sillice; Bruce M. Becker; Sheri J. Hartman; Beth C. Bock

This study compares the characteristics of men and women, respectively, participating in two randomized controlled pilot studies whose primary aims were to test the feasibility of yoga as a complementary therapy for smoking cessation. Participants were aged 18-65, generally healthy and were daily smokers. Analysis of variance (ANOVA) and chi-square tests examined gender differences in smoking rate, potential treatment mediators, and covariates (e.g., smoking history, health status, weight concerns, mood, and prior withdrawal symptoms). A total of 55 women and 38 men participated in the study. Differences between men and women at enrollment included: women reported significantly greater withdrawal (p<0.005), anxiety (p=0.032), and depression (p=0.027) symptoms than men. More women than men (91% vs. 66%) reported having been told by their doctor to quit smoking (p=0.003), had an existing smoking-related illness (33% vs. 13%; p=0.032), and reported smoking for weight control (15% vs. 0%; p=0.014). Results showed good feasibility for recruiting both men and women into a study using yoga as a complementary therapy for smoking cessation. Results also indicate that interventions may need to be tailored to meet different needs (e.g., addressing co-morbid depression) between men and women.

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Andrea L. Paiva

College of Health Sciences

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Steven F. Babbin

University of Rhode Island

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Joseph S. Rossi

College of Health Sciences

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