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1.
Prev Med ; 91: 103-109, 2016 10.
Artigo em Inglês | MEDLINE | ID: mdl-27404577

RESUMO

BACKGROUND: Childhood obesity prevalence remains high and racial/ethnic disparities may be widening. Studies have examined the role of health behavioral differences. Less is known regarding neighborhood and built environment mediators of disparities. The objective of this study was to examine the extent to which racial/ethnic disparities in elevated child body mass index (BMI) are explained by neighborhood socioeconomic status (SES) and built environment. METHODS: We collected and analyzed race/ethnicity, BMI, and geocoded address from electronic health records of 44,810 children 4 to 18years-old seen at 14 Massachusetts pediatric practices in 2011-2012. Main outcomes were BMI z-score and BMI z-score change over time. We used multivariable linear regression to examine associations between race/ethnicity and BMI z-score outcomes, sequentially adjusting for neighborhood SES and the food and physical activity environment. RESULTS: Among 44,810 children, 13.3% were black, 5.7% Hispanic, and 65.2% white. Compared to white children, BMI z-scores were higher among black (0.43units [95% CI: 0.40-0.45]) and Hispanic (0.38 [0.34-0.42]) children; black (0.06 [0.04-0.08]), but not Hispanic, children also had greater increases in BMI z-score over time. Adjusting for neighborhood SES substantially attenuated BMI z-score differences among black (0.30 [0.27-0.34]) and Hispanic children (0.28 [0.23-0.32]), while adjustment for food and physical activity environments attenuated the differences but to a lesser extent than neighborhood SES. CONCLUSIONS: Neighborhood SES and the built environment may be important drivers of childhood obesity disparities. To accelerate progress in reducing obesity disparities, interventions must be tailored to the neighborhood contexts in which families live.


Assuntos
Planejamento Ambiental/estatística & dados numéricos , Etnicidade/estatística & dados numéricos , Disparidades nos Níveis de Saúde , Obesidade Infantil/epidemiologia , Características de Residência/estatística & dados numéricos , Adolescente , Fatores Etários , Índice de Massa Corporal , Criança , Pré-Escolar , Registros Eletrônicos de Saúde/estatística & dados numéricos , Feminino , Humanos , Masculino , Massachusetts , Obesidade Infantil/etnologia , Grupos Raciais , Estudos Retrospectivos , Fatores Socioeconômicos
2.
J Clin Sleep Med ; 12(11): 1493-1498, 2016 11 15.
Artigo em Inglês | MEDLINE | ID: mdl-27655464

RESUMO

STUDY OBJECTIVES: To examine the extent to which parent health behaviors and parenting practices are associated with school-age children's sleep duration. METHODS: We surveyed 790 parents of children, aged 6 to 12 y, who had a body mass index (BMI) ≥ 90th percentile and were participating in a randomized controlled obesity trial. The main exposures were parent sleep duration, screen time and physical activity, parental limits placed on child TV viewing time and TV content, and parents' confidence regarding their ability to help their child get enough sleep. The primary outcome was child sleep duration. We used linear regression models to examine associations of parent behaviors and parenting practices with child sleep duration. RESULTS: On average, children slept 9.2 h per night, whereas parents slept 6.9 h. Parents reported having an average of 1.9 h of screen time per day and 0.6 h of physical activity. There were 57.3% of parents who reported feeling very/extremely confident that they could help their child get enough sleep. In adjusted multivariate analyses, child sleep duration was 0.09 h/day (95% confidence interval: 0.03, 0.15) longer for each 1-h increment in parent sleep duration. Additionally, children whose parents reported being very/extremely confident they could help their child get age-appropriate sleep duration slept 0.67 h/day longer (95% confidence interval: 0.54, 0.81) than those whose parents were not/somewhat confident. CONCLUSIONS: Educating parents about their own sleep health and enhancing parent confidence to help their children get enough sleep are potential areas of intervention to increase child sleep duration.


Assuntos
Comportamentos Relacionados com a Saúde/fisiologia , Poder Familiar/psicologia , Pais/psicologia , Sono/fisiologia , Adulto , Criança , Estudos Transversais , Exercício Físico/fisiologia , Feminino , Humanos , Masculino , Obesidade Infantil , Televisão/estatística & dados numéricos , Fatores de Tempo
3.
JAMA Pediatr ; 169(6): 535-42, 2015 Jun.
Artigo em Inglês | MEDLINE | ID: mdl-25895016

RESUMO

IMPORTANCE: Evidence of effective treatment of childhood obesity in primary care settings is limited. OBJECTIVE: To examine the extent to which computerized clinical decision support (CDS) delivered to pediatric clinicians at the point of care of obese children, with or without individualized family coaching, improved body mass index (BMI; calculated as weight in kilograms divided by height in meters squared) and quality of care. DESIGN, SETTING, AND PARTICIPANTS: We conducted a cluster-randomized, 3-arm clinical trial. We enrolled 549 children aged 6 to 12 years with a BMI at the 95% percentile or higher from 14 primary care practices in Massachusetts from October 1, 2011, through June 30, 2012. Patients were followed up for 1 year (last follow-up, August 30, 2013). In intent-to-treat analyses, we used linear mixed-effects models to account for clustering by practice and within each person. INTERVENTIONS: In 5 practices randomized to CDS, pediatric clinicians received decision support on obesity management, and patients and their families received an intervention for self-guided behavior change. In 5 practices randomized to CDS + coaching, decision support was augmented by individualized family coaching. The remaining 4 practices were randomized to usual care. MAIN OUTCOMES AND MEASURES: Smaller age-associated change in BMI and the Healthcare Effectiveness Data and Information Set (HEDIS) performance measures for obesity during the 1-year follow-up. RESULTS: At baseline, mean (SD) patient age and BMI were 9.8 (1.9) years and 25.8 (4.3), respectively. At 1 year, we obtained BMI from 518 children (94.4%) and HEDIS measures from 491 visits (89.4%). The 3 randomization arms had different effects on BMI over time (P = .04). Compared with the usual care arm, BMI increased less in children in the CDS arm during 1 year (-0.51 [95% CI, -0.91 to -0.11]). The CDS + coaching arm had a smaller magnitude of effect (-0.34 [95% CI, -0.75 to 0.07]). We found substantially greater achievement of childhood obesity HEDIS measures in the CDS arm (adjusted odds ratio, 2.28 [95% CI, 1.15-4.53]) and CDS + coaching arm (adjusted odds ratio, 2.60 [95% CI, 1.25-5.41]) and higher use of HEDIS codes for nutrition or physical activity counseling (CDS arm, 45%; CDS + coaching arm, 25%; P < .001 compared with usual care arm). CONCLUSIONS AND RELEVANCE: An intervention that included computerized CDS for pediatric clinicians and support for self-guided behavior change for families resulted in improved childhood BMI. Both interventions improved the quality of care for childhood obesity. TRIAL REGISTRATION: clinicaltrials.gov Identifier: NCT01537510.


Assuntos
Obesidade Infantil/terapia , Pediatria , Atenção Primária à Saúde , Terapia Comportamental , Criança , Análise por Conglomerados , Terapia Combinada , Técnicas de Apoio para a Decisão , Educação não Profissionalizante , Feminino , Seguimentos , Humanos , Masculino , Autocuidado , Apoio Social , Terapia Assistida por Computador
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