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1.
PLoS One ; 11(1): e0146875, 2016.
Artigo em Inglês | MEDLINE | ID: mdl-26800523

RESUMO

INTRODUCTION: A large local health department in Colorado partnered with 15 school districts to develop an approach to evaluate changes in access to healthy foods in reimbursable school lunches and a la carte offerings. MATERIALS AND METHODS: School district nutrition managers were engaged at the start of this project. Health department dietitians developed criteria to classify food items as "Lower Fat and less added Sugar" (LFS) and "Higher Fat and more added Sugar" (HFS) based on the percentage of calories from fat and grams of added sugar. Lunch production sheets were obtained for two time periods, food items and the number of planned servings recorded. LFS and HFS planned servings were summed for each time period, and a LFS to HFS ratio calculated by dividing LFS planned servings by HFS planned servings. Additional analyses included calculating LFS: HFS ratios by school district, and for a la carte offerings. RESULTS: In 2009, the LFS: HFS ratio was 2.08, in 2011, 3.71 (P<0.0001). The method also detected changes in ratios at the school district level. For a la carte items, in 2009 the ratio of LFS: HFS was 0.53, and in 2011, 0.61 (not statistically significant). CONCLUSIONS: This method detected an increase in the LFS: HFS ratio over time and demonstrated that the school districts improved access to healthful food/drink by changing the contents of reimbursable school lunches. The evaluation method discussed here can generate information that districts can use in helping sustain and expand their efforts to create healthier environments for children and adults. Although federal regulations now cover all food and beverages served during the school day, there are still opportunities to improve and measure changes in food served in other settings such as child care centers, youth correction facilities, or in schools not participating in the National School Lunch Program.


Assuntos
Fenômenos Fisiológicos da Nutrição Infantil/fisiologia , Serviços de Alimentação , Promoção da Saúde/métodos , Almoço , Obesidade Infantil/prevenção & controle , Serviços de Saúde Escolar , Adolescente , Bebidas , Criança , Colorado/epidemiologia , Dieta , Ingestão de Energia/fisiologia , Alimentos/classificação , Distribuidores Automáticos de Alimentos , Humanos , Valor Nutritivo , Obesidade Infantil/epidemiologia , Projetos Piloto , Instituições Acadêmicas
2.
Public Health Nurs ; 31(3): 234-42, 2014.
Artigo em Inglês | MEDLINE | ID: mdl-24720656

RESUMO

OBJECTIVE: To determine the risk factors associated with having a very low birth weight (VLBW) infant as a follow-up to the first phase of a Perinatal Periods of Risk approach. DESIGN AND SAMPLE: Retrospective cohort analysis of birth certificates. Population-based sample of 53,427 birth certificates for the city under study during the years 1999-2006. MEASURES: The relationship of selected maternal characteristics as predictors of VLBW using multivariate logistic regression analysis. RESULTS: The maternal characteristics associated with VLBW were as follows: no prenatal care (OR = 4.04), inadequate weight gain (OR = 3.97), Black, non-Hispanic race (OR = 1.50), less than 20 years old (OR = 1.42) and more than 35 years old (OR = 1.43). After analyzing age and race/ethnicity together, Black non-Hispanic women less than 20 years of age (OR = 2.70) or over 35 years of age (OR = 2.45) still had an increased odds for having a VLBW infant whereas Black non-Hispanic women between the ages of 20 and 35 did not. CONCLUSIONS: The findings of this study suggest educating women on the importance of preconception care, prenatal care, and adequate pregnancy weight gain to reduce the odds of having a VLBW infant.


Assuntos
Disparidades nos Níveis de Saúde , Recém-Nascido de muito Baixo Peso , Mães/estatística & dados numéricos , Adulto , Fatores Etários , Declaração de Nascimento , Etnicidade/estatística & dados numéricos , Feminino , Humanos , Recém-Nascido , Análise Multivariada , Gravidez , Cuidado Pré-Natal/estatística & dados numéricos , Estudos Retrospectivos , Fatores de Risco , Fatores Socioeconômicos , Aumento de Peso , Adulto Jovem
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