scholarly journals Potassium and fruit and vegetable intakes in relation to social determinants and access to produce in New York City

2013 ◽  
Vol 98 (5) ◽  
pp. 1282-1288 ◽  
Author(s):  
Erikka Loftfield ◽  
Stella Yi ◽  
Christine J Curtis ◽  
Katherine Bartley ◽  
Susan M Kansagra
2021 ◽  
pp. 1-19
Author(s):  
Casey J. Kelley ◽  
Karla L. Hanson ◽  
Grace A. Marshall ◽  
Leah C. Volpe ◽  
Stephanie Jilcott Pitts ◽  
...  

Abstract Objective: To examine cross-sectional associations between farmers’ market shopping behaviors and objectively measured and self-reported fruit and vegetable (FV) intake among rural North Carolina (NC) and New York City (NYC) shoppers. Design: Cross-sectional intercept surveys were used to assess self-reported FV intake and three measures of farmers’ market shopping behavior: (1) frequency of purchasing FV, (2) variety of FV purchased, and (3) dollars spent on FV. Skin carotenoids, a non-invasive biomarker for FV intake, were objectively measured using pressure-mediated reflection spectroscopy. Associations between farmers’ market shopping behaviors and FV intake were examined using regression models that controlled for demographic variables (e.g., age, sex, race, smoking status, education, income, and state). Setting: Farmers’ markets (n=17 markets) in rural NC and NYC. Participants: A convenience sample of 645 farmers’ market shoppers. Results: Farmers’ market shoppers in NYC purchased a greater variety of FV and had higher skin carotenoid scores compared to shoppers in rural NC. Among all shoppers, there was a positive, statistically significant association between self-reported frequency of shopping at farmers’ markets and self-reported as well as objectively assessed FV intake. The variety of FV purchased and farmers’ market spending on FV also were positively associated with self-reported FV intake, but not skin carotenoids. Conclusion: Those who shop for FV more frequently at a farmers’ markets, purchase a greater variety of FV, and spend more money on FV have higher self-reported, and in some cases higher objectively measured FV intake. Further research is needed to understand these associations and test causality.


1940 ◽  
Vol 5 (1) ◽  
pp. 84
Author(s):  
Reavis Cox ◽  
William C. Crow

1940 ◽  
Vol 22 (4) ◽  
pp. 802
Author(s):  
R. G. Bressler ◽  
D. O. Hammerberg ◽  
William C. Crow ◽  
W. T. Calhoun ◽  
J. W. Park

Author(s):  
Thomas H. Greenland

This chapter examines how intimate social correspondence between active participants in New York City's avant-jazz scene engenders individual and group identities—a sense of who we are, where we go, what we love, and how we live. It first considers how fellowship, and particularly camaraderie, develops among fans during and after jazz performances. It then looks at how jazz fans interface with “club/houses” and the people that run them and goes on to discuss social determinants of musical taste. It also explores one of the occupational hazards associated with jazz fandom in New York City, what Steve Dalachinsky called “divided nights.” The chapter shows that active concertgoers, particularly avant-jazz fans, collectively identify and express themselves through improvised music, and describes gregarious yet self-contained, intimate jazz communities as an example of both an extended family and “a group of separates.”


2021 ◽  
Vol 40 (4) ◽  
pp. 645-654
Author(s):  
Matthew C. Baker ◽  
Philip M. Alberti ◽  
Tsu-Yu Tsao ◽  
Kyle Fluegge ◽  
Renata E. Howland ◽  
...  

Circulation ◽  
2020 ◽  
Vol 141 (Suppl_1) ◽  
Author(s):  
Sabena Thomas ◽  
Amna Umer ◽  
Yvonne Commodore-mensah ◽  
Danielle Davidov ◽  
Christiaan Abildso

Introduction: Research on cardiovascular health (CVH) and risk factors among immigrants has been well-documented. Less is known about social influences on CVH, among black immigrants. Despite having the largest population of black immigrants in the U.S., Afro-Caribbean (AC) immigrants have been underrepresented in health research. We examined the social determinants of CVH among AC immigrants (Guyanese, Haitian and Jamaican) in New York City (NYC). Hypothesis: We hypothesized that social determinants of CVH will vary among the three ethnic sub-groups of AC immigrants. Methods: We included 1691 AC immigrants who reported their race as non-Hispanic Black and country of birth (COB) as Guyana (n= 369), Haiti (n= 291) or Jamaica (n= 1031) in the 2010-2014 administrations of the New York City Community Health Survey. Logistic regression analysis was performed to assess the association between social determinants and CVH (ideal vs intermediate/poor) using AHA’s CVH metrics. Results: The majority of the sample was female (59.2%) and reported high school education or less (53.9%). Most AC immigrants reported to have ideal CVH (71.3%). Education was significantly associated with CVH only among Jamaican immigrants. Jamaican immigrants with ≤ high school education were more likely to have intermediate/poor CVH compared to those with ≥ some college education. Conclusions: These findings suggest that social determinants influencing CVH differ among AC immigrant sub-groups in NYC. These findings suggest that social determinants influencing CVH differ among AC immigrant sub-groups in NYC. National surveillance efforts should obtain more complete data on country of origin and oversample racial/ethnic minority groups in order to better understand their CVH outcomes. Future research should examine other social factors that may influence CVH among black immigrants.


2017 ◽  
Vol 14 ◽  
Author(s):  
Andrew Breck ◽  
Kamila Kiszko ◽  
Olivia Martinez ◽  
Courtney Abrams ◽  
Brian Elbel

2015 ◽  
Vol 18 (15) ◽  
pp. 2712-2721 ◽  
Author(s):  
Lauren EW Olsho ◽  
Gayle Holmes Payne ◽  
Deborah Klein Walker ◽  
Sabrina Baronberg ◽  
Jan Jernigan ◽  
...  

AbstractObjectiveThe present study examines the impact of Health Bucks, a farmers’ market incentive programme, on awareness of and access to farmers’ markets, and fruit and vegetable purchase and consumption in low-income New York City neighbourhoods.DesignThe evaluation used two primary data collection methods: (i) an on-site point-of-purchase survey of farmers’ market shoppers; and (ii) a random-digit-dial telephone survey of residents in neighbourhoods where the programme operates. Additionally, we conducted a quasi-experimental analysis examining differential time trends in consumption before and after programme introduction using secondary Community Health Survey (CHS) data.SettingNew York City farmers’ markets and communities.SubjectsFarmers’ market shoppers (n 2287) completing point-of-purchase surveys in a representative sample of New York City farmers’ markets in 2010; residents (n 1025) completing random-digit-dial telephone survey interviews in 2010; and respondents (n 35 606) completing CHS interviews in 2002, 2004, 2008 and 2009.ResultsGreater Health Bucks exposure was associated with: (i) greater awareness of farmers’ markets; (ii) increased frequency and amount of farmers’ market purchases; and (iii) greater likelihood of a self-reported year-over-year increase in fruit and vegetable consumption. However, our CHS analysis did not detect impacts on consumption.ConclusionsWhile our study provides promising evidence that use of farmers’ market incentives is associated with increased awareness and use of farmers’ markets, additional research is needed to better understand impacts on fruit and vegetable consumption.


2013 ◽  
Vol 16 (7) ◽  
pp. 1197-1205 ◽  
Author(s):  
Darby Jack ◽  
Kathryn Neckerman ◽  
Ofira Schwartz-Soicher ◽  
Gina S Lovasi ◽  
James Quinn ◽  
...  

AbstractObjectiveRecommendations for fruit and vegetable consumption are largely unmet. Lower socio-economic status (SES), neighbourhood poverty and poor access to retail outlets selling healthy foods are thought to predict lower consumption. The objective of the present study was to assess the interrelationships between these risk factors as predictors of fruit and vegetable consumption.DesignCross-sectional multilevel analyses of data on fruit and vegetable consumption, socio-demographic characteristics, neighbourhood poverty and access to healthy retail food outlets.SettingSurvey data from the 2002 and 2004 New York City Community Health Survey, linked by residential zip code to neighbourhood data.SubjectsAdult survey respondents (n 15 634).ResultsOverall 9·9 % of respondents reported eating ≥5 servings of fruits or vegetables in the day prior to the survey. The odds of eating ≥5 servings increased with higher income among women and with higher educational attainment among men and women. Compared with women having less than a high-school education, the OR was 1·12 (95 % CI 0·82, 1·55) for high-school graduates, 1·95 (95 % CI 1·43, 2·66) for those with some college education and 2·13 (95 % CI 1·56, 2·91) for college graduates. The association between education and fruit and vegetable consumption was significantly stronger for women living in lower- v. higher-poverty zip codes (P for interaction < 0·05). The density of healthy food outlets did not predict consumption of fruits or vegetables.ConclusionsHigher SES is associated with higher consumption of produce, an association that, in women, is stronger for those residing in lower-poverty neighbourhoods.


Author(s):  
Andrew Maroko ◽  
Denis Nash ◽  
Brian Pavilonis

AbstractThere have been numerous reports that the impact of the ongoing COVID-19 epidemic has disproportionately impacted traditionally vulnerable communities, including well-researched social determinants of health, such as racial and ethnic minorities, migrants, and the economically challenged. The goal of this ecological cross-sectional study is to examine the demographic and economic nature of spatial hot and cold spots of SARS-CoV-2 rates in New York City and Chicago as of April 13, 2020.In both cities, cold spots (clusters of low SARS-CoV-2 rate ZIP code tabulation areas) demonstrated typical protective factors associated with the social determinants of health and the ability to social distance. These neighborhoods tended to be wealthier, have higher educational attainment, higher proportions of non-Hispanic white residents, and more workers in managerial occupations. Hot spots (clusters of high SARS-CoV-2 rate ZIP code tabulation areas) also had similarities, such as lower rates of college graduates and higher proportions of people of color. It also appears to be larger households (more people per household), rather than overall population density, that may to be a more strongly associated with hot spots.Findings suggest important differences between the cities’ hot spots as well. They can be generalized by describing the NYC hot spots as working-class and middle-income communities, perhaps indicative of service workers and other occupations (including those classified as “essential services” during the pandemic) that may not require a college degree but pay wages above poverty levels. Chicago’s hot spot neighborhoods, on the other hand, are among the city’s most vulnerable, low-income neighborhoods with extremely high rates of poverty, unemployment, and non-Hispanic Black residents.


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