Rebecca L. Franckle
Harvard University
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Featured researches published by Rebecca L. Franckle.
Pediatrics | 2015
Jennifer Falbe; Kirsten K. Davison; Rebecca L. Franckle; Claudia Ganter; Steven L. Gortmaker; Lauren A. Smith; Thomas Land; Elsie M. Taveras
BACKGROUND AND OBJECTIVE: Associations of inadequate sleep with numerous health outcomes among youth necessitate identifying its modifiable determinants. Television (TV) has been associated with sleep curtailment, but little is known about small screens (eg, smartphones), which can be used in bed and emit notifications. Therefore, we examined associations of different screens in sleep environments with sleep duration and perceived insufficient rest or sleep. METHODS: Participants included 2048 fourth- and seventh-graders participating in the Massachusetts Childhood Obesity Research Demonstration Study in 2012 to 2013. Using linear and log binomial regression, we examined cross-sectional associations of small screens and TVs in sleep environments and screen time with weekday sleep duration and perceived insufficient rest or sleep in the past week. RESULTS: Children who slept near a small screen (compared with never) reported 20.6 fewer minutes of sleep (95% confidence interval [CI], −29.7 to −11.4) and had a higher prevalence of perceived insufficient rest or sleep (prevalence ratio, 1.39; 95% CI, 1.21 to 1.60). Children who slept in a room with a TV (compared with no TV) reported 18.0 fewer minutes of sleep (95% CI, −27.9 to −8.1). TV or DVD viewing and video or computer game playing were associated with both sleep outcomes (P < .01). Some associations were stronger among Hispanic, non-Hispanic black, and older children (P < .05 for heterogeneity). CONCLUSIONS: Sleeping near a small screen, sleeping with a TV in the room, and more screen time were associated with shorter sleep durations. Presence of a small screen, but not a TV, in the sleep environment and screen time were associated with perceived insufficient rest or sleep. These findings caution against unrestricted screen access in children’s bedrooms.
Preventing Chronic Disease | 2014
Rebecca L. Franckle; Rachel F. Adler; Kirsten K. Davison
Introduction The objective of this study was to compile and summarize research examining variations in weight gain among students during the summer in comparison to the school year, with a focus on racial/ethnic disparities and students who are at risk of overweight. Methods A systematic search of PubMed and Embase was conducted. Reference lists of identified articles and Google Scholar were also reviewed. Studies that assessed summer weight gain in school children were included. Inclusion criteria were: 1) a focus on children and adolescents aged 5 to 17 attending school; 2) a measured body composition before and after the summer vacation; 3) English-language articles; and 4) publication in a peer-reviewed journal since January 1, 1990. Data were extracted from selected studies in the following categories: study purpose, setting, study design, population, sample size, data collection method, and findings. Results Seven eligible studies were included in the review. Six of the 7 studies reported accelerated summer weight gain for at least a portion of the study population, with an effect of summer on weight gain identified for the following subgroups: black, Hispanic, and overweight children and adolescents. Conclusion There may be a trend in increased rate of weight gain during summer school vacation, particularly for high-risk groups, including certain racial/ethnic populations and overweight children and adolescents. Potential solutions for the problem of accelerated summer weight gain include greater access to recreational facilities, physical activity programming, and summer food programs. Further research in this area is needed as summer weight gain may exacerbate existing health disparities.
Preventive Medicine | 2014
Amy M. Lampard; Rebecca L. Franckle; Kirsten K. Davison
OBJECTIVE Maternal depression is prevalent and has been associated with parenting practices that influence child weight. In this systematic review we aimed to examine the prospective association between maternal depression and child overweight. METHODS We searched four databases (PsycINFO, PubMed, Embase, and Academic Search Premier) to identify studies for inclusion. We included studies with a prospective design with at least one year follow-up, measuring maternal depression at any stage after childbirth, and examining child overweight or obesity status, body mass index z-score or percentile, or adiposity. Two authors extracted data independently and findings were qualitatively synthesized. RESULTS We identified nine prospective studies for inclusion. Results were examined separately for episodic depression (depression at a single measurement occasion) and chronic depression (depression on multiple measurement occasions). Mixed results were observed for the relationship between episodic depression and indicators of child adiposity. Chronic depression, but not episodic depression, was associated with greater risk for child overweight. CONCLUSIONS While chronic depression may be associated with child overweight, further research is needed. Research is also needed to determine whether maternal depression influences child weight outcomes in adolescence and to investigate elements of the family ecology that may moderate the effect of maternal depression on child overweight.
Preventive Medicine | 2015
Rebecca L. Franckle; Jennifer Falbe; Steven L. Gortmaker; Claudia Ganter; Elsie M. Taveras; Thomas Land; Kirsten K. Davison
OBJECTIVE This study examines the extent to which insufficient sleep is associated with diet quality in students taking part in the Massachusetts Childhood Obesity Research Demonstration Project. METHODS Data were collected in Fall 2012 for all 4th and 7th grade children enrolled in public schools in two Massachusetts communities. During annual body mass index (BMI) screening, students completed a survey that assessed diet, physical activity, screen time, and sleep. Of the 2456 enrolled students, 1870 (76%) had complete survey data. Generalized estimating equations were used to examine associations between sleep duration and dietary outcomes (vegetables, fruits, 100% juice, juice drinks, soda, sugar-sweetened beverages and water), accounting for clustering by school. Models were adjusted for community, grade, race/ethnicity, gender, television in the bedroom, screen time, and physical activity. RESULTS In adjusted models, students who reported sleeping < 10 hours/day consumed soda more frequently (β = 0.11, 95% CI: 0.03, 0.20) and vegetables less frequently (β = -0.09, 95% CI: -0.18, -0.01) compared with students who reported ≥ 10 hours/day. No significant associations were observed between sleep duration and fruits, 100% juice, juice drinks or water. CONCLUSIONS In this population, insufficient sleep duration was associated with more frequent soda and less frequent vegetable consumption. Longitudinal research is needed to further examine these relationships.
Obesity | 2017
Rebecca L. Franckle; Jennifer Falbe; Steven L. Gortmaker; Jessica L. Barrett; Catherine M. Giles; Claudia Ganter; Rachel E. Blaine; James H. Buszkiewicz; Elsie M. Taveras; Jo-Ann Kwass; Thomas Land; Kirsten K. Davison
To examine changes in prevalence of obesity and target health behaviors (fruit, vegetable, and beverage consumption; physical activity; screen time; sleep duration) among students from communities that participated in the Massachusetts Childhood Obesity Research Demonstration (MA‐CORD) project compared to controls.
American Journal of Preventive Medicine | 2017
Rebecca L. Franckle; Alyssa J. Moran; Tao Hou; Dan J. Blue; Julie Greene; Anne N. Thorndike; Michele Polacsek; Eric B. Rimm
INTRODUCTION Although one in seven Americans receives Supplemental Nutrition Assistance Program (SNAP) benefits, little is known about how these benefits for food are spent because individual-level sales data are not publicly available. The purpose of this study is to compare transactions made with and without SNAP benefits at a large regional supermarket chain. METHODS Sales data were obtained from a large supermarket chain in the Northeastern U.S. for a period of 2 years (April 2012-April 2014). Multivariate multiple regression models were used to quantify relative differences in dollars spent on 31 predefined SNAP-eligible food categories. Analyses were completed in 2016. RESULTS Transactions with SNAP benefit use included higher spending on less healthful food categories, including sugar-sweetened beverages (
Preventing Chronic Disease | 2017
Rachel E. Blaine; Rebecca L. Franckle; Claudia Ganter; Jennifer Falbe; Catherine M. Giles; Shaniece Criss; Jo-Ann Kwass; Thomas Land; Steven L. Gortmaker; Emmeline Chuang; Kirsten K. Davison
1.08), red meat (
Journal of Nutrition Education and Behavior | 2017
Michele Polacsek; Alyssa J. Moran; Anne N. Thorndike; Rebecca Boulos; Rebecca L. Franckle; Julie Greene; Dan J. Blue; Jason P. Block; Eric B. Rimm
1.55), and convenience foods (
American Journal of Public Health | 2016
Rebecca L. Franckle; Jason P. Block; Christina A. Roberto
1.34), and lower spending on more healthful food categories, such as fruits (-
Public Health Nutrition | 2018
Rebecca L. Franckle; Douglas E. Levy; Lorena Macias-Navarro; Eric B. Rimm; Anne N. Thorndike
1.51), vegetables (-