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Government data v. ground observation for food-environment assessment: businesses missed and misreported by city and state inspection records.
Lucan, Sean C; Maroko, Andrew R; Abrams, Courtney; Rodriguez, Noemi; Patel, Achint N; Gjonbalaj, Ilirjan; Schechter, Clyde B; Elbel, Brian.
Afiliação
  • Lucan SC; Department of Family and Social Medicine, Albert Einstein College of Medicine | Montefiore Health System, 1300 Morris Park Avenue, Block Building, Room 408, Bronx, NY10461, USA.
  • Maroko AR; Department of Environmental, Occupational, and Geospatial Health Sciences, CUNY Graduate School of Public Health and Health Policy, New York, NY, USA.
  • Abrams C; Department of Population Health, NYU School of Medicine, New York, NY, USA.
  • Rodriguez N; Department of Population Health, NYU School of Medicine, New York, NY, USA.
  • Patel AN; Albert Einstein College of Medicine, Bronx, NY, USA.
  • Gjonbalaj I; Department of Psychiatry and Behavioral Sciences, Montefiore Medical Center, Bronx, NY, USA.
  • Schechter CB; Department of Family and Social Medicine, Albert Einstein College of Medicine | Montefiore Health System, 1300 Morris Park Avenue, Block Building, Room 408, Bronx, NY10461, USA.
  • Elbel B; Department of Population Health, NYU School of Medicine, New York, NY, USA.
Public Health Nutr ; 23(8): 1414-1427, 2020 06.
Article em En | MEDLINE | ID: mdl-31680658
OBJECTIVE: To assess the accuracy of government inspection records, relative to ground observation, for identifying businesses offering foods/drinks. DESIGN: Agreement between city and state inspection records v. ground observations at two levels: businesses and street segments. Agreement could be 'strict' (by business name, e.g. 'Rizzo's') or 'lenient' (by business type, e.g. 'pizzeria'); using sensitivity and positive predictive value (PPV) for businesses and using sensitivity, PPV, specificity and negative predictive value (NPV) for street segments. SETTING: The Bronx and the Upper East Side (UES), New York City, USA. PARTICIPANTS: All food/drink-offering businesses on sampled street segments (n 154 in the Bronx, n 51 in the UES). RESULTS: By 'strict' criteria, sensitivity and PPV of government records for food/drink-offering businesses were 0·37 and 0·57 in the Bronx; 0·58 and 0·60 in the UES. 'Lenient' values were 0·40 and 0·62 in the Bronx; 0·60 and 0·62 in the UES. Sensitivity, PPV, specificity and NPV of government records for street segments having food/drink-offering businesses were 0·66, 0·73, 0·84 and 0·79 in the Bronx; 0·79, 0·92, 0·67, and 0·40 in the UES. In both areas, agreement varied by business category: restaurants; 'food stores'; and government-recognized other storefront businesses ('gov. OSB', i.e. dollar stores, gas stations, pharmacies). Additional business categories - 'other OSB' (barbers, laundromats, newsstands, etc.) and street vendors - were absent from government records; together, they represented 28·4 % of all food/drink-offering businesses in the Bronx, 22·2 % in the UES ('other OSB' and street vendors were sources of both healthful and less-healthful foods/drinks in both areas). CONCLUSIONS: Government records frequently miss or misrepresent businesses offering foods/drinks, suggesting caveats for food-environment assessments using such records.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Registros / Comércio / Serviços de Alimentação / Governo Tipo de estudo: Prognostic_studies Limite: Humans País/Região como assunto: America do norte Idioma: En Revista: Public Health Nutr Assunto da revista: CIENCIAS DA NUTRICAO / SAUDE PUBLICA Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Registros / Comércio / Serviços de Alimentação / Governo Tipo de estudo: Prognostic_studies Limite: Humans País/Região como assunto: America do norte Idioma: En Revista: Public Health Nutr Assunto da revista: CIENCIAS DA NUTRICAO / SAUDE PUBLICA Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Estados Unidos