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1.
Public Health Nutr ; 23(8): 1428-1439, 2020 06.
Artigo em Inglês | MEDLINE | ID: mdl-32223780

RESUMO

OBJECTIVE: Conceptualisations of 'food deserts' (areas lacking healthful food/drink) and 'food swamps' (areas overwhelm by less-healthful fare) may be both inaccurate and incomplete. Our objective was to more accurately and completely characterise food/drink availability in urban areas. DESIGN: Cross-sectional assessment of select healthful and less-healthful food/drink offerings from storefront businesses (stores, restaurants) and non-storefront businesses (street vendors). SETTING: Two areas of New York City: the Bronx (higher-poverty, mostly minority) and the Upper East Side (UES; wealthier, predominantly white). PARTICIPANTS: All businesses on 63 street segments in the Bronx (n 662) and on 46 street segments in the UES (n 330). RESULTS: Greater percentages of businesses offered any, any healthful, and only less-healthful food/drink in the Bronx (42·0 %, 37·5 %, 4·4 %, respectively) than in the UES (30 %, 27·9 %, 2·1 %, respectively). Differences were driven mostly by businesses (e.g. newsstands, gyms, laundromats) not primarily focused on selling food/drink - 'other storefront businesses' (OSBs). OSBs accounted for 36·0 % of all food/drink-offering businesses in the Bronx (more numerous than restaurants or so-called 'food stores') and 18·2 % in the UES (more numerous than 'food stores'). Differences also related to street vendors in both the Bronx and the UES. If street vendors and OSBs were not captured, the missed percentages of street segments offering food/drink would be 14·5 % in the Bronx and 21·9 % in the UES. CONCLUSIONS: Of businesses offering food/drink in communities, OSBs and street vendors can represent substantial percentages. Focusing on only 'food stores' and restaurants may miss or mischaracterise 'food deserts', 'food swamps', and food/drink-source disparities between communities.


Assuntos
Bebidas , Comércio/estatística & dados numéricos , Serviços de Alimentação/estatística & dados numéricos , Abastecimento de Alimentos/estatística & dados numéricos , Alimentos , Estudos Transversais , Dieta , Dieta Saudável , Humanos , Cidade de Nova Iorque , Valor Nutritivo , Características de Residência/estatística & dados numéricos , Restaurantes/estatística & dados numéricos
2.
Public Health Nutr ; 23(8): 1414-1427, 2020 06.
Artigo em Inglês | MEDLINE | ID: mdl-31680658

RESUMO

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.


Assuntos
Comércio/estatística & dados numéricos , Serviços de Alimentação/estatística & dados numéricos , Governo , Registros , Coleta de Dados , Meio Ambiente , Alimentos/normas , Inspeção de Alimentos , Serviços de Alimentação/normas , Abastecimento de Alimentos/normas , Abastecimento de Alimentos/estatística & dados numéricos , Humanos , Cidade de Nova Iorque , Observação , Características de Residência , Restaurantes/normas , Restaurantes/estatística & dados numéricos
3.
J Acad Nutr Diet ; 118(11): 2128-2134, 2018 11.
Artigo em Inglês | MEDLINE | ID: mdl-30227952

RESUMO

BACKGROUND: Local food environments include food stores (eg, supermarkets, grocery stores, bakeries) and restaurants. However, the extent to which other storefront businesses offer food/drink is not well described, nor is the extent to which food/drink availability through a full range of storefront businesses might change over time. OBJECTIVES: This study aimed to assess food/drink availability from a full range of storefront businesses and the change over time and to consider implications for food-environment research. DESIGN: Investigators compared direct observations from 2010 and 2015. PARTICIPANTS/SETTING: Included were all storefront businesses offering foods/drinks on 153 street segments in the Bronx, NY. MAIN OUTCOME MEASURES: The main outcome was change between 2010 and 2015 as determined by matches between businesses. Matches could be strict (businesses with the same name on the same street segment in both years) or lenient (similar businesses on the same street segment in both years). Investigators categorized businesses as general grocers, specialty food stores, restaurants, or other storefront businesses (eg, barber shops/beauty salons, clothing outlets, hardware stores, laundromats, and newsstands). STATISTICAL ANALYSES PERFORMED: Investigators quantified change, specifically calculating how often businesses in 2015 were present in 2010 and vice versa. RESULTS: Strict matches for businesses in 2015 present in 2010 ranged from 29% to 52%, depending on business category; lenient matches ranged from 43% to 72%. Strict matches for businesses in 2010 present in 2015 ranged from 34% to 63%; lenient matches ranged from 72% to 83%. In 2015 compared with 2010, on 22% more of the sampled street segments, 30% more businesses were offering food/drink: 66 vs 46 general grocers, 22 vs 19 specialty food stores, 99 vs 99 restaurants, 98 vs 56 other storefront businesses. CONCLUSIONS: Over 5 years, an urban food environment changed substantially, even by lenient standards, particularly among "other storefront businesses" and in the direction of markedly greater food availability (more businesses offering food on more streets). Failure to consider a full range of food/drink sources and change in food/drink sources could result in erroneous food-environment conclusions.


Assuntos
Comércio/estatística & dados numéricos , Meio Ambiente , Indústria Alimentícia/estatística & dados numéricos , Abastecimento de Alimentos/estatística & dados numéricos , Alimentos/estatística & dados numéricos , População Urbana , Bebidas/estatística & dados numéricos , Dieta , Ingestão de Alimentos , Fast Foods , Humanos , Cidade de Nova Iorque , Características de Residência , Restaurantes/estatística & dados numéricos
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