Elfassy, Tali;
Yi, Stella S;
Llabre, Maria M;
Schneiderman, Neil;
Gellman, Marc;
Florez, Hermes;
Prado, Guillermo;
Zeki Al Hazzouri, Adina
Neighbourhood socioeconomic status and cross-sectional associations with obesity and urinary biomarkers of diet among New York City adults: the heart follow-up study
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Medientyp:
E-Artikel
Titel:
Neighbourhood socioeconomic status and cross-sectional associations with obesity and urinary biomarkers of diet among New York City adults: the heart follow-up study
Beteiligte:
Elfassy, Tali;
Yi, Stella S;
Llabre, Maria M;
Schneiderman, Neil;
Gellman, Marc;
Florez, Hermes;
Prado, Guillermo;
Zeki Al Hazzouri, Adina
Beschreibung:
<jats:sec><jats:title>Objective</jats:title><jats:p>To determine whether neighbourhood socioeconomic status (SES) is associated with body mass index (BMI), waist circumference (WC) and biomarkers of diet (urinary sodium and potassium excretion).</jats:p></jats:sec><jats:sec><jats:title>Design</jats:title><jats:p>A cross-sectional study.</jats:p></jats:sec><jats:sec><jats:title>Setting</jats:title><jats:p>The data reported were from the 2010 Heart Follow-up Study, a population-based representative survey of 1645 adults.</jats:p></jats:sec><jats:sec><jats:title>Participants</jats:title><jats:p>Community-dwelling diverse residents of New York City nested within 128 neighbourhoods (zip codes).</jats:p></jats:sec><jats:sec><jats:title>Primary and secondary outcome measures</jats:title><jats:p>BMI (kg/m<jats:sup>2</jats:sup>) and WC (inches) were measured during in-home visits, and 24-hour urine sample was collected to measure biomarkers of diet: sodium (mg/day) and potassium (mg/day), with high sodium and low potassium indicative of worse diet quality.</jats:p></jats:sec><jats:sec><jats:title>Results</jats:title><jats:p>After adjusting for individual-level characteristics using multilevel linear regressions, low versus high neighbourhood SES tertile was associated with 1.83 kg/m<jats:sup>2</jats:sup>higher BMI (95% CI 0.41 to 3.98) and 251 mg/day lower potassium excretion (95% CI −409 to 93) among women only, with no associations among men (P values for neighbourhood SES by sex interactions <0.05).</jats:p></jats:sec><jats:sec><jats:title>Conclusion</jats:title><jats:p>Our results suggest that women may be particularly vulnerable to the effects of a socioeconomically disadvantaged neighbourhood. Future neighbourhood research should explore sex differences, as these can inform tailored interventions.</jats:p></jats:sec><jats:sec><jats:title>Trial registration number</jats:title><jats:p><jats:ext-link xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="NCT01889589" ext-link-type="clintrialgov" specific-use="clinicaltrial results">NCT01889589</jats:ext-link>; Results.</jats:p></jats:sec>