10 results on '"Zenk, Shannon"'
Search Results
2. Added-sugar Intake from Sugar-sweetened Beverages among Adults in St. Louis City and County, MO
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Pipito, Andrea, Powell, Lisa, Isgor, Zeynep, Smith, Teresa M., and Zenk, Shannon N.
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FOS: Economics and business ,180125 Taxation Law ,FOS: Political science ,111199 Nutrition and Dietetics not elsewhere classified ,111104 Public Nutrition Intervention ,140215 Public Economics- Taxation and Revenue ,160508 Health Policy ,FOS: Law ,FOS: Health sciences - Abstract
This research brief presents information on the estimated number of teaspoons of daily added-sugar intake from sugar-sweetened beverages (SSBs) and the contribution of added-sugar intake from SSBs as a percentage of total added-sugar intake among adults aged 18-64 living in St. Louis City & County, MO in 2017
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- 2022
- Full Text
- View/download PDF
3. Sugar-sweetened Beverage Consumption among Adults in St. Louis City and County, MO, 2017
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Pipito, Andrea, Powell, Lisa, Isgor, Zeynep, Smith, Teresa M., and Zenk, Shannon N.
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FOS: Economics and business ,stomatognathic diseases ,180125 Taxation Law ,FOS: Political science ,111199 Nutrition and Dietetics not elsewhere classified ,111104 Public Nutrition Intervention ,food and beverages ,140215 Public Economics- Taxation and Revenue ,160508 Health Policy ,FOS: Law ,FOS: Health sciences - Abstract
This research brief presents information on the frequency of SSB consumption among adults aged 18-64 living in St. Louis City & County, MO, in 2017, including by SSB type for soda, fruit drinks, sports drinks, energy drinks, and tea/coffee.
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- 2022
- Full Text
- View/download PDF
4. Development and Reliability Testing of a Food Store Observation Form for Use in Beverage Tax Evaluations
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Li, Yu, Leider, Julien, Pipito, Andrea, Pugach, Oksana, Zenk, Shannon N., and Powell, Lisa M.
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FOS: Economics and business ,111712 Health Promotion ,FOS: Political science ,111708 Health and Community Services ,111104 Public Nutrition Intervention ,160508 Health Policy ,FOS: Health sciences ,140208 Health Economics - Abstract
To assess the reliability of the Beverage Tax Food Store Observation Form, we conducted an inter-rater reliability (IRR) study in the summer of 2017 in 56 food stores in Joliet, Illinois, a racially/ ethnically diverse, mid-sized city in the Chicago metropolitan area. The purpose of this brief is to report on the development and IRR results of the overall form and individual measures.
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- 2022
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5. Added-sugar Intake from Sugar-sweetened Beverages among Adults in Cook County, Illinois, 2017
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Powell, Lisa, Isgor, Zeynep, Pipito, Andrea, Pugach, Oksana, Yaroch, Amy L., and Zenk, Shannon N.
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FOS: Economics and business ,180125 Taxation Law ,FOS: Political science ,111199 Nutrition and Dietetics not elsewhere classified ,111104 Public Nutrition Intervention ,140215 Public Economics- Taxation and Revenue ,160508 Health Policy ,FOS: Law ,FOS: Health sciences - Abstract
This research brief presents information on the estimated number of teaspoons of daily added-sugar intake from sugar-sweetened beverages (SSBs) and the contribution of added-sugar intake from SSBs as a percentage of total added-sugar intake among adults aged 18-64 living in Cook County, Illinois in 2017.
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- 2022
- Full Text
- View/download PDF
6. Sugar-sweetened Beverage Consumption among Adults, Cook County IL, 2017
- Author
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Powell, Lisa, Isgor, Zeynep, Pipito, Andrea, Pugach, Oksana, Yaroch, Amy L., and Zenk, Shannon N.
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FOS: Economics and business ,stomatognathic diseases ,stomatognathic system ,180125 Taxation Law ,FOS: Political science ,111199 Nutrition and Dietetics not elsewhere classified ,111104 Public Nutrition Intervention ,food and beverages ,140215 Public Economics- Taxation and Revenue ,160508 Health Policy ,FOS: Law ,FOS: Health sciences - Abstract
This research brief presents information on the frequency of SSB consumption among adults aged 18-64 living in Cook County, Illinois in 2017, including by SSB type for soda, fruit drinks, sports drinks, energy drinks, and tea/coffee.
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- 2022
- Full Text
- View/download PDF
7. Moblim_Algorithm_Supplemental_Materials_as_of_08jul2020 – Supplemental material for Development of a Predictive Algorithm to Identify Adults With Mobility Limitations Using VA Health Care Administrative Data
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Eisenberg, Yochai, Powell, Lisa M., Zenk, Shannon N., and Tarlov, Elizabeth
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111799 Public Health and Health Services not elsewhere classified ,160807 Sociological Methodology and Research Methods ,FOS: Health sciences ,FOS: Sociology - Abstract
Supplemental material, Moblim_Algorithm_Supplemental_Materials_as_of_08jul2020 for Development of a Predictive Algorithm to Identify Adults With Mobility Limitations Using VA Health Care Administrative Data by Yochai Eisenberg, Lisa M. Powell, Shannon N. Zenk and Elizabeth Tarlov in Medical Care Research and Review
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- 2020
- Full Text
- View/download PDF
8. Neighbourhood socioeconomic disadvantage and fruit and vegetable consumption: a seven countries comparison
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Ball, Kylie, Lamb, Karen E, Costa, Claudia, Cutumisu, Nicoleta, Ellaway, Anne, Kamphuis, Carlijn B M, Mentz, Graciela, Pearce, Jamie, Santana, Paula, Santos, Rita, Schulz, Amy J, Spence, John C, Thornton, Lukar E, van Lenthe, Frank J, Zenk, Shannon N, SGPL Stadsgeografie, Social Urban Transitions, Public Health, SGPL Stadsgeografie, and Social Urban Transitions
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Male ,030309 nutrition & dietetics ,Medicine (miscellaneous) ,Social Environment ,Logistic regression ,0302 clinical medicine ,Residence Characteristics ,Risk Factors ,Vegetables ,030212 general & internal medicine ,Neighbourhood (mathematics) ,Netherlands ,0303 health sciences ,education.field_of_study ,Nutrition and Dietetics ,International comparisons ,Middle Aged ,Socioeconomic Status ,Geography ,International ,population characteristics ,Female ,Attitude to Health ,Adult ,Canada ,Adolescent ,Population ,education ,Physical Therapy, Sports Therapy and Rehabilitation ,Context (language use) ,Odds ,Young Adult ,03 medical and health sciences ,Humans ,Socioeconomic status ,Aged ,Consumption (economics) ,Portugal ,Research ,Australia ,Feeding Behavior ,social sciences ,United States ,Diet ,Scotland ,Socioeconomic Factors ,Fruit ,Neighbourhood ,New Zealand ,Demography - Abstract
BACKGROUND: Low fruit and vegetable consumption is a risk factor for poor health. Studies have shown consumption varies across neighbourhoods, with lower intakes in disadvantaged neighbourhoods. However, findings are inconsistent, suggesting that socio-spatial inequities in diet could be context-specific, highlighting a need for international comparisons across contexts. This study examined variations in fruit and vegetable consumption among adults from neighbourhoods of varying socioeconomic status (SES) across seven countries (Australia, Canada, Netherlands, New Zealand, Portugal, Scotland, US).METHODS: Data from seven existing studies, identified through literature searches and knowledge of co-authors, which collected measures of both neighbourhood-level SES and fruit and vegetable consumption were used. Logistic regression was used to examine associations between neighbourhood-level SES and binary fruit and vegetable consumption separately, adjusting for neighbourhood clustering and age, gender and education. As much as possible, variables were treated in a consistent manner in the analysis for each study to allow the identification of patterns of association within study and to examine differences in the associations across studies.RESULTS: Adjusted analyses showed evidence of an association between neighbourhood-level SES and fruit consumption in Canada, New Zealand and Scotland, with increased odds of greater fruit intake in higher SES neighbourhoods. In Australia, Canada, New Zealand and Portugal, those residing in higher SES neighbourhoods had increased odds of greater vegetable intake. The other studies showed no evidence of a difference by neighbourhood-level SES.CONCLUSIONS: Acknowledging discrepancies across studies in terms of sampling, measures, and definitions of neighbourhoods, this opportunistic study, which treated data in a consistent manner, suggests that associations between diet and neighbourhood-level socioeconomic status vary across countries. Neighbourhood socioeconomic disadvantage may differentially impact on access to resources in which produce is available in different countries. Neighbourhood environments have the potential to influence behaviour and further research is required to examine the context in which these associations arise.
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- 2015
9. Relationship between area mortgage foreclosures, homeownership, and cardiovascular disease risk factors: The Hispanic Community Health Study/Study of Latinos
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Chambers, Earle C, Gellman, Marc D, Duncan, Dustin T, Hanna, David B, Zenk, Shannon N, Perreira, Krista, McCurley, Jessica L, Hua, Simin, Gallo, Linda C, and Camacho-Rivera, Marlene
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11. Sustainability ,1. No poverty - Abstract
Background The risk of mortgage foreclosure disproportionately burdens Hispanic/Latino populations perpetuating racial disparities in health. In this study, we examined the relationship between area-level mortgage foreclosure risk, homeownership, and the prevalence of cardiovascular disease risk factors among participants of the Hispanic Community Health Study/Study of Latinos (HCHS/SOL). Methods HCHS/SOL participants were age 18–74 years when recruited from four U.S. metropolitan areas. Mortgage foreclosure risk was obtained from the U.S. Department of Housing and Urban Development. Homeownership, sociodemographic factors, and cardiovascular disease risk factors were measured at baseline interview between 2008 and 2011. There were 13,856 individuals contributing to the analysis (median age 39 years old, 53% female). Results Renters in high foreclosure risk areas had a higher prevalence of hypertension and hypercholesterolemia but no association with smoking status compared to renters in low foreclosure risk areas. Renters were more likely to smoke cigarettes than homeowners. Conclusion Among US Hispanic/Latinos in urban cities, area foreclosure and homeownership have implications for risk of cardiovascular disease.
10. Associations of supermarket characteristics with weight status and body fat: a multilevel analysis of individuals within supermarkets (RECORD study)
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Chantal Simon, Yan Kestens, Basile Chaix, Noëlla Karusisi, Shannon N. Zenk, Jean-Michel Oppert, Hélène Charreire, Bruno Pannier, Kathy Bean, Christiane Weber, Juan Merlo, Frédérique Thomas, Mark Daniel, Cinira Leal, LAB'URBA (LAB'URBA), Université Paris-Est Marne-la-Vallée (UPEM)-Université Paris-Est Créteil Val-de-Marne - Paris 12 (UPEC UP12), Equipe 3: EREN- Equipe de Recherche en Epidémiologie Nutritionnelle (CRESS - U1153), Université Paris 13 (UP13)-Institut National de la Recherche Agronomique (INRA)-Conservatoire National des Arts et Métiers [CNAM] (CNAM)-Centre de Recherche Épidémiologie et Statistique Sorbonne Paris Cité (CRESS (U1153 / UMR_A_1125 / UMR_S_1153)), Institut National de la Recherche Agronomique (INRA)-Université Paris Diderot - Paris 7 (UPD7)-Université Paris Descartes - Paris 5 (UPD5)-Université Sorbonne Paris Cité (USPC)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut National de la Recherche Agronomique (INRA)-Université Paris Diderot - Paris 7 (UPD7)-Université Paris Descartes - Paris 5 (UPD5)-Université Sorbonne Paris Cité (USPC)-Institut National de la Santé et de la Recherche Médicale (INSERM), Epidémiologie des maladies infectieuses et modélisation (ESIM), Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut National de la Santé et de la Recherche Médicale (INSERM), Centre d'Investigations Préventives et Cliniques (CIPC), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Hôpital Jean Verdier [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP), Sansom Research Institute, University of South Australia, University of Illinois [Chicago] (UIC), University of Illinois System, Université de Montréal (UdeM), Université Paris Diderot - Paris 7 (UPD7)-Université Sorbonne Paris Cité (USPC)-Université Paris Descartes - Paris 5 (UPD5)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut National de la Recherche Agronomique (INRA)-Université Paris Diderot - Paris 7 (UPD7)-Université Sorbonne Paris Cité (USPC)-Université Paris Descartes - Paris 5 (UPD5)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut National de la Recherche Agronomique (INRA), Laboratoire Image, Ville, Environnement [Strasbourg] (LIVE), Université de Strasbourg (UNISTRA), Régulations métaboliques, nutrition et diabètes (RMND), Institut National de la Recherche Agronomique (INRA)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Hospices Civils de Lyon (HCL)-Institut National de la Santé et de la Recherche Médicale (INSERM), The Enteric Nervous System in gut and brain disorders [U1235] (TENS), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Nantes - UFR de Médecine et des Techniques Médicales (UFR MEDECINE), Université de Nantes (UN)-Université de Nantes (UN), Lund University [Lund], Institute for Public Health Research (Institut de Recherche en Sante Publique), National Institute for Prevention and Health Education (Institut National de Prevention et d'Education pour la Sante) [074/07-DAS], National Institute of Public Health Surveillance (Institut de Veille Sanitaire), French Ministries of Research and Health (Epidemiologic Cohorts), National Health Insurance Office for Salaried Workers (Caisse Nationale d'Assurance Maladie des Travailleurs Salaries), National Research Agency (Agence Nationale de la Recherche) [00153 05], Ile-de-France Regional Health Agency (Agence Regionale de Sante d'Ile-de-France), City of Paris (Ville de Paris), Ile-de-France Regional Council (Conseil Regional d'Ile-de-France, DIM SEnT and CODDIM), Ile-de-France Youth, Sports, and Social Cohesion Regional Direction (Direction Regionale de la Jeunesse et des Sports et de la Cohesion Sociale), Swedish Research Council, Canadian Institutes for Health Research, LAB'URBA ( LAB'URBA ), Université Paris-Est Marne-la-Vallée ( UPEM ) -Université Paris-Est Créteil Val-de-Marne - Paris 12 ( UPEC UP12 ), Equipe 3: EREN- Equipe de Recherche en Epidémiologie Nutritionnelle ( CRESS - U1153 ), Université Paris 13 ( UP13 ) -Institut National de la Recherche Agronomique ( INRA ) -Conservatoire National des Arts et Métiers [CNAM] ( CNAM ) -Centre de Recherche Épidémiologie et Statistique Sorbonne Paris Cité ( CRESS (U1153 / UMR_A 1125) ), Institut National de la Recherche Agronomique ( INRA ) -Université Sorbonne Paris Cité ( USPC ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Institut National de la Recherche Agronomique ( INRA ) -Université Sorbonne Paris Cité ( USPC ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ), Université Paris 13 (UP13)-Institut National de la Recherche Agronomique (INRA)-Conservatoire National des Arts et Métiers [CNAM] (CNAM), HESAM Université - Communauté d'universités et d'établissements Hautes écoles Sorbonne Arts et métiers université (HESAM)-HESAM Université - Communauté d'universités et d'établissements Hautes écoles Sorbonne Arts et métiers université (HESAM)-Centre de Recherche Épidémiologie et Statistique Sorbonne Paris Cité (CRESS (U1153 / UMR_A_1125 / UMR_S_1153)), École des Hautes Études en Santé Publique [EHESP] (EHESP), Chaix, Basile, Bean, Kathy, Daniel, Mark, Zenk, Shannon N, Kestens, Yan, Charreire, Hélène, Leal, Cinira, Thomas, Frédérique, Karusisi, Noëlla, Weber, Christiane, Oppert, Jean-Michel, Simon, Chantal, Merlo, Juan, Pannier, Bruno, and Université de Strasbourg (UNISTRA)-Centre National de la Recherche Scientifique (CNRS)
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Gerontology ,Male ,Non-Clinical Medicine ,Epidemiology ,Economics ,Environmental Health and Occupational Health ,Psychological intervention ,lcsh:Medicine ,Social and Behavioral Sciences ,Body Mass Index ,Food Supply ,Cohort Studies ,0302 clinical medicine ,Models ,Residence Characteristics ,030212 general & internal medicine ,risk-factors ,lcsh:Science ,health care economics and organizations ,2. Zero hunger ,Human Capital ,Multidisciplinary ,Multilevel model ,food and beverages ,[ SDV.SPEE ] Life Sciences [q-bio]/Santé publique et épidémiologie ,Middle Aged ,Statistical ,Adipose Tissue ,Medicine ,Educational Status ,Female ,Public Health ,France ,Waist Circumference ,Research Article ,Cohort study ,Adult ,medicine.medical_specialty ,Waist ,education ,030209 endocrinology & metabolism ,Biology ,03 medical and health sciences ,Environmental health ,medicine ,Humans ,food environment ,Nutrition ,Aged ,Models, Statistical ,Population Biology ,geographic life environments ,Public health ,lcsh:R ,Body Weight ,health-care utilization ,Anthropometry ,Diet ,Socioeconomic Factors ,lcsh:Q ,Residence ,[SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie ,Body mass index - Abstract
International audience; PURPOSE: Previous research on the influence of the food environment on weight status has often used impersonal measures of the food environment defined for residential neighborhoods, which ignore whether people actually use the food outlets near their residence. To assess whether supermarkets are relevant contexts for interventions, the present study explored between-residential neighborhood and between-supermarket variations in body mass index (BMI) and waist circumference (WC), and investigated associations between brands and characteristics of supermarkets and BMI or WC, after adjustment for individual and residential neighborhood characteristics. METHODS: Participants in the RECORD Cohort Study (Paris Region, France, 2007-2008) were surveyed on the supermarket (brand and exact location) where they conducted their food shopping. Overall, 7 131 participants shopped in 1 097 different supermarkets. Cross-classified multilevel linear models were estimated for BMI and WC. RESULTS: Just 11.4% of participants shopped for food primarily within their residential neighborhood. After accounting for participants' residential neighborhood, people shopping in the same supermarket had a more comparable BMI and WC than participants shopping in different supermarkets. After adjustment for individual and residential neighborhood characteristics, participants shopping in specific supermarket brands, in hard discount supermarkets (especially if they had a low education), and in supermarkets whose catchment area comprised low educated residents had a higher BMI/WC. CONCLUSION: A public health strategy to reduce excess weight may be to intervene on specific supermarkets to change food purchasing behavior, as supermarkets are where dietary preferences are materialized into definite purchased foods.
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- 2012
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