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1.
Prev Med ; 138: 106149, 2020 09.
Artigo em Inglês | MEDLINE | ID: mdl-32473261

RESUMO

Women's diet quality during reproductive years and children's diet quality during early life influence long term health. Few studies have evaluated the impact of food assistance programs and income on the diet quality of grocery purchases made by households consisting of women of reproductive age and young children. We used data from the Food Acquisition and Purchase Survey 2012-2013 (FoodAPS) to evaluate how household income, Special Supplemental Nutrition Assistance Program for Women, Infants and Children (WIC) participation, and Supplemental Nutrition Assistance Program (SNAP) participation are related to the diet quality of grocery purchases made by households that include women of reproductive age or young children (n = 2436). The diet quality of household grocery purchases was assessed with the Healthy Eating Index (HEI) 2015. HEI-2015 total score (0-100) and component scores were evaluated according to household income (eligible for WIC: income-to-poverty ratio ≤ 185%; ineligible for WIC: income-to-poverty ratio > 185%) and WIC, SNAP, and WIC + SNAP participation. Median HEI-2015 total score was lowest among SNAP households and highest among income ineligible for WIC and WIC households (47.2 and 54.1, respectively). Compared to income ineligible for WIC households, WIC + SNAP and SNAP households had lower HEI-2015 whole fruit (ß = -0.30, 95% CI: -0.59, -0.01 and ß = -0.41, 95% CI: -0.63, -0.20, respectively) and total vegetable scores (ß = -0.58, 95% CI: -0.83, -0.32 and ß = -0.27, 95% CI: -0.45, -0.08, respectively). The diet quality of grocery purchases in this population varies according to household income and food assistance participation.


Assuntos
Assistência Alimentar , Criança , Pré-Escolar , Comportamento do Consumidor , Dieta , Características da Família , Feminino , Humanos , Renda , Lactente
2.
Paediatr Perinat Epidemiol ; 34(2): 171-189, 2020 03.
Artigo em Inglês | MEDLINE | ID: mdl-32011754

RESUMO

BACKGROUND: In utero dietary exposures may influence childhood obesity. OBJECTIVES: To evaluate the relationship between prenatal dietary exposures and offspring body size from 6 months to 18 years. DATA SOURCES: Articles were identified in PubMed and Web of Science (January 2010-March 2018) using the PRISMA guidelines. Additional studies were identified through a reference review of articles that met the inclusion criteria and related reviews. STUDY SELECTION: Prospective cohort studies that assessed dietary patterns, foods, macronutrients, or beverages during healthy pregnancy and offspring body size. The extraction of articles was done using predefined data fields. SYNTHESIS: One author extracted all information and evaluated bias with the NHLBI's Quality Assessment Tool. RESULTS: A total of 851 research articles were evaluated. Twenty-one studies assessing dietary patterns, macronutrients, foods, and beverages met inclusion criteria. Consumption of a Mediterranean dietary pattern during pregnancy was associated with reduced body size, while refined carbohydrates were associated with offspring obesity. No association was observed between data-driven dietary patterns and offspring body size, as well as a pro-inflammatory diet pattern and offspring body size. Mixed and null findings were observed for the relationship between total carbohydrates, n-3 polyunsaturated fatty acids, protein, sugar-sweetened beverages, and artificially sweetened beverages and offspring body size. CONCLUSIONS: Adhering to a Mediterranean diet and limiting refined carbohydrates during pregnancy may influence offspring body size between 6 months and 18 years. The diverging results that exist between studies highlight the complexity of this topic.


Assuntos
Obesidade Infantil , Fenômenos Fisiológicos da Nutrição Pré-Natal/fisiologia , Criança , Feminino , Humanos , Obesidade Infantil/diagnóstico , Obesidade Infantil/epidemiologia , Obesidade Infantil/prevenção & controle , Gravidez , Efeitos Tardios da Exposição Pré-Natal/epidemiologia
3.
Public Health Nutr ; 22(13): 2357-2366, 2019 09.
Artigo em Inglês | MEDLINE | ID: mdl-31190676

RESUMO

OBJECTIVE: The majority of groceries purchased by US households are industrially processed, yet it is unclear how processing level influences diet quality. We sought to determine if processing level is associated with diet quality of grocery purchases. DESIGN: We analysed grocery purchasing data from the National Household Food Acquisition and Purchase Survey 2012-2013. Household grocery purchases were categorized by the NOVA framework as minimally processed, processed culinary ingredients, processed foods or ultra-processed foods. The energy share of each processing level (percentage of energy; %E) and Healthy Eating Index-2015 (HEI-2015) component and total scores were calculated for each household's purchases. The association between %E from processed foods and ultra-processed foods, respectively, and HEI-2015 total score was determined by multivariable linear regression. Foods purchased by households with the highest v. lowest ultra-processed food purchases and HEI-2015 total score <40 v. ≥60 were compared using linear regression. SETTING: USA. PARTICIPANTS: Nationally representative sample of 3961 households. RESULTS: Processed foods and ultra-processed foods provided 9·2 (se 0·3) % and 55·8 (se 0·6) % of purchased energy, respectively. Mean HEI-2015 score was 54·7 (se 0·4). Substituting 10 %E from minimally processed foods and processed culinary ingredients for ultra-processed foods decreased total HEI-2015 score by 1·8 points (ß = -1·8; 95 % CI -2·0, -1·5). Processed food purchases were not associated with diet quality. Among households with high ultra-processed food purchases, those with HEI-2015 score <40 purchased less minimally processed plant-foods than households with HEI-2015 score ≥60. CONCLUSIONS: Increasing purchases of minimally processed foods, decreasing purchases of ultra-processed foods and selecting healthier foods at each processing level may improve diet quality.


Assuntos
Comportamento do Consumidor/estatística & dados numéricos , Dieta Saudável/estatística & dados numéricos , Preferências Alimentares/fisiologia , Valor Nutritivo/fisiologia , Estudos Transversais , Alimentos/estatística & dados numéricos , Humanos , Pessoa de Meia-Idade , Fatores Socioeconômicos , Estados Unidos
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