12 research outputs found

    The Impact of Worksite Weight-Related Social Norms on Associated Behaviors

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    Objective: To assess the association between descriptive social norms for weight and weight-related behaviors and associated behaviors at the worksite. Design and Sample: Baseline data from site-randomized trial of a worksite ecological intervention for weight control; 12 public high schools in central Massachusetts; Sample of 844 employees enrolled (~ 2/3 of all employees). Conclusions: Associations of weight loss and eating social norms with behavior; Unique from social support; No association of physical activity social norms with physical activity; May be little opportunity for and therefore little exposure to physical activity during the workday; Results support the development of weight loss interventions that address social norms for weight loss and eating behaviors at work

    A School Nurse-Delivered Intervention for Overweight and Obese Adolescents: Lessons Learned

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    Dr. Pbert will present work from an academic and community partnership between UMMS and the School Health Unit of the Massachusetts Department of Public Health to design and test a brief intervention for school nurses to provide weight management assistance to overweight and obese adolescents in the school health setting. She will discuss why the school nurse and school health setting are promising venues for addressing adolescent overweight, present results from their pilot study, and discuss facilitators, barriers and strategies to implementing this treatment model

    Finishing the euchromatic sequence of the human genome

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    The sequence of the human genome encodes the genetic instructions for human physiology, as well as rich information about human evolution. In 2001, the International Human Genome Sequencing Consortium reported a draft sequence of the euchromatic portion of the human genome. Since then, the international collaboration has worked to convert this draft into a genome sequence with high accuracy and nearly complete coverage. Here, we report the result of this finishing process. The current genome sequence (Build 35) contains 2.85 billion nucleotides interrupted by only 341 gaps. It covers ∼99% of the euchromatic genome and is accurate to an error rate of ∼1 event per 100,000 bases. Many of the remaining euchromatic gaps are associated with segmental duplications and will require focused work with new methods. The near-complete sequence, the first for a vertebrate, greatly improves the precision of biological analyses of the human genome including studies of gene number, birth and death. Notably, the human enome seems to encode only 20,000-25,000 protein-coding genes. The genome sequence reported here should serve as a firm foundation for biomedical research in the decades ahead

    Development and validation of worksite weight-related social norms surveys

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    OBJECTIVE: To describe the development of measures of worksite descriptive social norms for weight loss, physical activity, and eating behaviors. METHODS: Three surveys were tested in 844 public high school employees. Factor analysis, Cronbach alpha, and tests of association with other worksite social contextual measures and behaviors were performed. RESULTS: Each survey demonstrated high internal consistency and was associated with measures of social support and behaviors. Confirmatory factor analysis supported the reliability of the weight-loss and eating-behavior norms surveys, but not the physical-activity norms survey. CONCLUSIONS: The weight-loss and eating norms surveys are reliable, valid measures

    Weight loss motivations: a latent class analysis approach

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    OBJECTIVE: To identify subgroups of adults with respect to weight loss motivations and assess factors associated with subgroup membership. METHOD: A cross-sectional survey among 414 overweight/ obese employees in 12 Massachusetts high schools was conducted. Latent class analysis (LCA) defined distinct weight loss motivation classes. Multinomial logistic regression assessed participant characteristics with class membership. RESULTS: Three classes emerged: improving health; improving health and looking/feeling better; and improving health, looking/feeling, better and improving personal/social life. Compared to class 1, class 2 was more likely to be female and younger and class 3 was more likely to be female, younger, have children at home, and perceive themselves as very over-weight. CONCLUSIONS: Findings can inform targeted weight loss interventions

    A school nurse-delivered intervention for overweight and obese adolescents

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    BACKGROUND: Models are needed for implementing weight management interventions for adolescents through readily accessible venues. This study evaluated the feasibility and efficacy of a school nurse-delivered intervention in improving diet and activity and reducing body mass index (BMI) among overweight and obese adolescents. METHODS: Six high schools were randomized to either a 6-session school nurse-delivered counseling intervention utilizing cognitive-behavioral techniques or nurse contact with provision of information. Eighty-four overweight or obese adolescents in grades 9 through 11 completed behavioral and physiological assessments at baseline and 2- and 6-month follow-ups. RESULTS: At 2 months, intervention participants ate breakfast on more days/week (difference = 1.01 days; 95% CI: 0.11, 1.92), and had a lower intake of total sugar (difference = -45.79 g; 95% CI: -88.34, -3.24) and added sugar (difference = -51.35 g; 95% CI: -92.45, -10.26) compared to control participants. At 6 months, they were more likely to drink soda ≤ one time/day (OR 4.10; 95% CI: 1.19, 16.93) and eat at fast food restaurants ≤ one time/week (OR 4.62; 95% CI: 1.10, 23.76) compared to control participants. There were no significant differences in BMI, activity, or caloric intake. CONCLUSION: A brief school nurse-delivered intervention was feasible, acceptable, and improved selected obesogenic behaviors, but not BMI. Copyright 2013, American School Health Association

    Association of Fetal Abdominal–Head Circumference Size Difference With Shoulder Dystocia: A Multicenter Study

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    Abstract Objective This study aims to determine if shoulder dystocia is associated with a difference in the fetal abdominal (AC) to head circumference (HC) of 50 mm or more noted on antenatal ultrasound. Study Design A multicenter matched case–control study was performed comparing women who had shoulder dystocia to controls who did not. Women with vaginal births of live born nonanomalous singletons ≥ 36 weeks of gestation with an antenatal ultrasound within 4 weeks of delivery were included. Controls were matched for gestational age, route of delivery, and diabetes status. Results We identified 181 matched pairs. Only 5% of the fetuses had an AC to HC of ≥ 50 mm. The proportion of AC to HC difference of ≥ 50 mm was significantly higher in shoulder dystocia cases (8%) than controls (1%, p = 0.002). With multivariate regression, the three significant factors associated with shoulder dystocia were AC to HC ≥ 50 mm (odds ratio [OR], 7.3; confidence interval [CI], 1.6–33.3; p = 0.010), femur length (OR, 1.1; CI, 1.0–1.2; p = 0.002), and induced labor (OR, 1.8; CI, 1.1–3.1; p = 0.027). Conclusion A prenatal ultrasound finding of a difference in AC to HC of ≥ 50 mm while uncommon is associated with shoulder dystocia

    Association of Fetal Abdominal-Head Circumference Size Difference With Shoulder Dystocia: A Multicenter Study

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    Objective: This study aims to determine if shoulder dystocia is associated with a difference in the fetal abdominal (AC) to head circumference (HC) of 50 mm or more noted on antenatal ultrasound. Study Design: A multicenter matched case–control study was performed comparing women who had shoulder dystocia to controls who did not. Women with vaginal births of live born nonanomalous singletons ≥ 36 weeks of gestation with an antenatal ultrasound within 4 weeks of delivery were included. Controls were matched for gestational age, route of delivery, and diabetes status. Results: We identified 181 matched pairs. Only 5% of the fetuses had an AC to HC of ≥ 50 mm. The proportion of AC to HC difference of ≥ 50 mm was significantly higher in shoulder dystocia cases (8%) than controls (1%, p = 0.002). With multivariate regression, the three significant factors associated with shoulder dystocia were AC to HC ≥ 50 mm (odds ratio [OR], 7.3; confidence interval [CI], 1.6–33.3; p = 0.010), femur length (OR, 1.1; CI, 1.0–1.2; p = 0.002), and induced labor (OR, 1.8; CI, 1.1–3.1; p = 0.027). Conclusion: A prenatal ultrasound finding of a difference in AC to HC of ≥ 50 mm while uncommon is associated with shoulder dystocia

    Number of 24-Hour Diet Recalls Needed to Estimate Energy Intake

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    PURPOSE: Twenty-four-hour diet recall interviews (24HRs) are used to assess diet and to validate other diet assessment instruments. Therefore it is important to know how many 24HRs are required to describe an individual\u27s intake. METHOD: Seventy-nine middle-aged white women completed seven 24HRs over a 14-day period, during which energy expenditure (EE) was determined by the doubly labeled water method (DLW). Mean daily intakes were compared to DLW-derived EE using paired t tests. Linear mixed models were used to evaluate the effect of call sequence and day of the week on 24HR-derived energy intake while adjusting for education, relative body weight, social desirability, and an interaction between call sequence and social desirability. RESULTS: Mean EE from DLW was 2115 kcal/day. Adjusted 24HR-derived energy intake was lowest at call 1 (1501 kcal/day); significantly higher energy intake was observed at calls 2 and 3 (2246 and 2315 kcal/day, respectively). Energy intake on Friday was significantly lower than on Sunday. Averaging energy intake from the first two calls better approximated true energy expenditure than did the first call, and averaging the first three calls further improved the estimate (p=0.02 for both comparisons). Additional calls did not improve estimation. CONCLUSIONS: Energy intake is underreported on the first 24HR. Three 24HRs appear optimal for estimating energy intake
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