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Jalili F, Hajizadeh M, Mehrabani S, Ghoreishy SM, MacIsaac F. The association between neighborhood socioeconomic status and the risk of incidence and mortality of colorectal cancer: A systematic review and meta-analysis of 1,678,582 participants. Cancer Epidemiol 2024; 91:102598. [PMID: 38878681 DOI: 10.1016/j.canep.2024.102598] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2024] [Revised: 06/01/2024] [Accepted: 06/05/2024] [Indexed: 07/16/2024]
Abstract
OBJECTIVES We conducted a systematic review and meta-analysis to evaluate the association between neighborhood socioeconomic status (n-SES) and the risk of incidence and mortality in colorectal cancer (CRC). SETTING A comprehensive literature search was performed using PubMed/MEDLINE, ISI Web of Science and Scopus without any limitation until October 11, 2023. Inclusion criteria consisted of observational studies in adult subjects (≥18 years) which provided data on the association between n-SES and CRC-related incidence and mortality. Relative risk (RR) and 95 % confidence interval (CI) were pooled by employing a random-effects model. We employed validated methods to assess study quality and publication bias, utilizing the Newcastle-Ottawa Scale for quality evaluation, subgroup analysis to find possible sources of heterogeneity, Egger's regression asymmetry and Begg's rank correlation tests for bias detection and sensitivity analysis. RESULTS Finally, 24 studies (21 cohorts and 3 cross-sectional studies) from seven different countries with 1678,582 participants were included. The analysis suggested that a significant association between lower n-SES and an increased incidence of CRC (RR=1.11; 95 % CI: 1.08, 1.14; I2=64.4 %; p<0.001; n=46). The analysis also indicated a significant association between lower n-SES and an increased risk of mortality of CRC (RR=1.21; 95 % CI: 1.16, 1.26; I2=76.4 %; p<0.001; n=23). Furthermore, subgroup analysis revealed that there was a significant association between lower n-SES and an increased risk of incidence of CRC in colon location (RR=1.06; 95 % CI: 1.02, 1.10; I2=0.0 %; p=0.001; n=8), but not rectal location. In addition, subgroup analysis for covariates adjustment suggested that body mass index, smoking, physical activity, alcohol intake, or sex adjustment may influence the relationship between n-SES and the risk of incidence and mortality in CRC. CONCLUSION Lower n-SES was found to be a contributing factor to increased incidence and mortality rates associated with CRC, highlighting the substantial negative impacts of lower n-SES on cancer susceptibility and health outcomes.
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Affiliation(s)
- Faramarz Jalili
- School of Health Administration, Faculty of Health, Dalhousie University, Halifax, NS, Canada.
| | - Mohammad Hajizadeh
- School of Health Administration, Faculty of Health, Dalhousie University, Halifax, NS, Canada
| | - Sanaz Mehrabani
- Nutrition and Food Security Research Center, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Seyed Mojtaba Ghoreishy
- Department of Nutrition, School of Public Health, Iran University of Medical Sciences, Tehran, Iran; Student Research Committee, School of Public Health, Iran University of Medical Sciences, Tehran, Iran
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Visier-Alfonso ME, Ros-Segura L, Sánchez-López M, Jiménez-López E, Martínez-Vizcaíno V. Direct and indirect effects of physiological, psychological and cognitive variables on academic achievement in children. Pediatr Res 2024:10.1038/s41390-024-03322-0. [PMID: 38944661 DOI: 10.1038/s41390-024-03322-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/31/2024] [Revised: 05/07/2024] [Accepted: 05/15/2024] [Indexed: 07/01/2024]
Abstract
BACKGROUND Associations between cardiorespiratory fitness (CRF), screen time, psychological well-being, executive functions, and academic achievement have been reported, however, few studies have analysed models considering the effect of all these variables on academic achievement. This study aims to analyse the direct and indirect associations of mothers' education level, CRF, screen time, psychological well-being, executive functions, with academic achievement in schoolchildren, by sex. METHODS This was a cross-sectional analysis of MOVI-daFit! study including 519 schoolchildren (49.52% girls) aged 9-11 years old. Executive functions were assessed with the NIH Toolbox, CRF with the 20-m shuttle run test, academic achievement through the final academic grades in language and mathematics and mother's education level, screen time and well-being by questionnaires. RESULTS Structural equation modelling revealed that in boys cognitive flexibility had a significant direct effect on academic achievement and screen time a total significant effect on academic achievement. In girls, CRF was associated with inhibition and psychological well-being, and this was associated with academic achievement. CONCLUSIONS Physiological, psychological, and behavioural variables act together to impact academic achievement, and that differences by sex might exist. Thus, strategies to enhance academic achievement in schoolchildren should consider psychological well-being, CRF, screen time, and sex differences. IMPACT Physiological, psychological, and behavioural variables, such as cardiorespiratory fitness, screen time, psychological well-being, and cognition all together have an impact on academic achievement, with differences by sex. Previous studies have demonstrated the separate effect of these variables, however, to date, this is the first study that analyses all together in the same model their impact on academic achievement, by sex. This study shows that in boys cognitive flexibility and screen time impact academic achievement. In girls, cardiorespiratory fitness is highly associated with psychological well-being, and this, in turn, was associated with academic achievement.
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Affiliation(s)
- María Eugenia Visier-Alfonso
- Faculty of Nursing, Universidad de Castilla-La Mancha, Camino de Nohales 4, 16002, Cuenca, Spain.
- Universidad de Castilla-La Mancha, Health and Social Research Center, Camino de Pozuelo, 16071, Cuenca, Spain.
- Department of Psychology, Universidad de Castilla-La Mancha, C/ Almansa 14, 02008, Albacete, Spain.
| | - Laura Ros-Segura
- Department of Psychology, Universidad de Castilla-La Mancha, C/ Almansa 14, 02008, Albacete, Spain
| | - Mairena Sánchez-López
- Universidad de Castilla-La Mancha, Health and Social Research Center, Camino de Pozuelo, 16071, Cuenca, Spain
- Universidad de Castilla-La Mancha, School of Education, C/ Altagracia 50, 13001, Ciudad Real, Spain
| | - Estela Jiménez-López
- Faculty of Nursing, Universidad de Castilla-La Mancha, Camino de Nohales 4, 16002, Cuenca, Spain
- Universidad de Castilla-La Mancha, Health and Social Research Center, Camino de Pozuelo, 16071, Cuenca, Spain
| | - Vicente Martínez-Vizcaíno
- Faculty of Nursing, Universidad de Castilla-La Mancha, Camino de Nohales 4, 16002, Cuenca, Spain
- Universidad de Castilla-La Mancha, Health and Social Research Center, Camino de Pozuelo, 16071, Cuenca, Spain
- Faculty of Medicine, Universidad Autónoma de Chile, Cinco Pte. N°1670 Talca, Maule, Chile
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Bartoskova Polcrova A, Dalecka A, Szabo D, Gonzalez Rivas JP, Bobak M, Pikhart H. Social and environmental stressors of cardiometabolic health. Sci Rep 2024; 14:14179. [PMID: 38898083 PMCID: PMC11187061 DOI: 10.1038/s41598-024-64847-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2023] [Accepted: 06/13/2024] [Indexed: 06/21/2024] Open
Abstract
Exposures to social and environmental stressors arise individual behavioural response and thus indirectly affect cardiometabolic health. The aim of this study was to investigate several social and environmental stressors and the paths of their influence on cardiometabolic health. The data of 2154 participants (aged 25-64 years) from the cross-sectional population-based study were analysed. The composite score of metabolic disorders (MS score) was calculated based on 5 biomarkers: waist circumference, blood pressure, fasting blood glucose, HDL-cholesterol, triglycerides. The effects of social stressors (education level, income), environmental stressors (NO2, noise) and behavioural factors (unhealthy diet, smoking, alcohol consumption, sedentary behaviours) on MS score were assessed using a structural model. We observed a direct effect of education on MS score, as well as an indirect effect mediated via an unhealthy diet, smoking, and sedentary behaviours. We also observed a significant indirect effect of income via sedentary behaviours. The only environmental stressor predicting MS was noise, which also mediated the effect of education. In summary, the effect of social stressors on the development of cardiometabolic risk had a higher magnitude than the effect of the assessed environmental factors. Social stressors lead to an individual's unhealthy behaviour and might predispose individuals to higher levels of environmental stressors exposures.
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Affiliation(s)
| | - Andrea Dalecka
- RECETOX, Faculty of Science, Masaryk University, Kotlarska 2, Brno, Czech Republic
| | - Daniel Szabo
- RECETOX, Faculty of Science, Masaryk University, Kotlarska 2, Brno, Czech Republic
| | - Juan Pablo Gonzalez Rivas
- International Clinical Research Centre (ICRC), St Anne's University Hospital Brno (FNUSA), Brno, Czech Republic
- Department of Global Health and Population, Harvard TH Chan School of Public Health, Harvard University, Boston, MA, USA
| | - Martin Bobak
- RECETOX, Faculty of Science, Masaryk University, Kotlarska 2, Brno, Czech Republic
- Department of Epidemiology and Public Health, University College London, London, UK
| | - Hynek Pikhart
- RECETOX, Faculty of Science, Masaryk University, Kotlarska 2, Brno, Czech Republic
- Department of Epidemiology and Public Health, University College London, London, UK
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van den Bekerom L, van Gestel LC, Schoones JW, Bussemaker J, Adriaanse MA. Health behavior interventions among people with lower socio-economic position: a scoping review of behavior change techniques and effectiveness. Health Psychol Behav Med 2024; 12:2365931. [PMID: 38903803 PMCID: PMC11188964 DOI: 10.1080/21642850.2024.2365931] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2023] [Accepted: 06/04/2024] [Indexed: 06/22/2024] Open
Abstract
Background Behavior change interventions can unintendedly widen existing socio-economic health inequalities. Understanding why interventions are (in)effective among people with lower socio-economic position (SEP) is essential. Therefore, this scoping review aims to describe what is reported about the behavior change techniques (BCTs) applied within interventions and their effectiveness in encouraging physical activity and healthy eating, and reducing smoking and alcohol consumption according to SEP. Methods A systematic search was conducted in 12 electronic databases, and 151 studies meeting the eligibility criteria were included and coded for health behavioral outcomes, SEP-operationalization, BCTs (type and number) and effectiveness. Results Findings suggest that approaches for measuring, defining and substantiating lower SEP vary. Current studies of behavior change interventions for people of different SEP do not systematically identify BCTs, making systematic evaluation of BCT effectiveness impossible. The effectiveness of interventions is mainly evaluated by overall intervention outcomes and SEP-moderation effects are mostly not assessed. Conclusion Using different SEP-operationalizations and not specifying BCTs hampers systematic evidence accumulation regarding effective (combinations of) BCTs for the low SEP population. To learn which BCTs effectively improve health behaviors among people with lower SEP, future intervention developers should justify how SEP is operationalized and must systematically describe and examine BCTs.
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Affiliation(s)
- Loes van den Bekerom
- Health Campus The Hague/Department of Public Health and Primary Care, Leiden University Medical Center, The Hague/Leiden, the Netherlands
| | - Laurens C. van Gestel
- Health, Medical and Neuropsychology Unit, Leiden University, Leiden, the Netherlands
| | - Jan W. Schoones
- Directorate of Research Policy, Leiden University Medical Center, Leiden, the Netherlands
| | - Jet Bussemaker
- Health Campus The Hague/Department of Public Health and Primary Care, Leiden University Medical Center, The Hague/Leiden, the Netherlands
- The Institute of Public Administration, Leiden University, Leiden, the Netherlands
| | - Marieke A. Adriaanse
- Health Campus The Hague/Department of Public Health and Primary Care, Leiden University Medical Center, The Hague/Leiden, the Netherlands
- Health, Medical and Neuropsychology Unit, Leiden University, Leiden, the Netherlands
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5
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Becker CJ, Sucharew H, Robinson D, Stamm B, Royan R, Nobel L, Stanton RJ, Jasne AS, Woo D, De Los Rios La Rosa F, Mackey J, Ferioli S, Mistry EA, Demel S, Haverbusch M, Coleman E, Slavin S, Walsh KB, Star M, Flaherty ML, Martini SR, Kissela B, Kleindorfer D. Impact of Poverty on Stroke Recurrence: A Population-Based Study. Neurology 2024; 102:e209423. [PMID: 38759136 PMCID: PMC11175648 DOI: 10.1212/wnl.0000000000209423] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2024] [Accepted: 04/04/2024] [Indexed: 05/19/2024] Open
Abstract
BACKGROUND AND OBJECTIVES Poverty is associated with greater stroke incidence. The relationship between poverty and stroke recurrence is less clear. METHODS In this population-based study, incident strokes within the Greater Cincinnati/Northern Kentucky region were ascertained during the 2015 study period and followed up for recurrence until December 31, 2018. The primary exposure was neighborhood socioeconomic status (nSES), defined by the percentage of households below the federal poverty line in each census tract in 4 categories (≤5%, >5%-10%, >10%-25%, >25%). Poisson regression models provided recurrence rate estimates per 100,000 residents using population data from the 2015 5-year American Community Survey, adjusting for age, sex, and race. In a secondary analysis, Cox models allowed for the inclusion of vascular risk factors in the assessment of recurrence risk by nSES among those with incident stroke. RESULTS Of 2,125 patients with incident stroke, 245 had a recurrent stroke during the study period. Poorer nSES was associated with increased stroke recurrence, with rates of 12.5, 17.5, 25.4, and 29.9 per 100,000 in census tracts with ≤5%, >5%-10%, >10%-25%, and >25% below the poverty line, respectively (p < 0.01). The relative risk (95% CI) for recurrent stroke among Black vs White individuals was 2.54 (1.91-3.37) before adjusting for nSES, and 2.00 (1.47-2.74) after adjusting for nSES, a 35.1% decrease. In the secondary analysis, poorer nSES (HR 1.74, 95% CI 1.10-2.76 for lowest vs highest category) and Black race (HR 1.31, 95% CI 1.01-1.70) were both independently associated with recurrence risk, though neither retained significance after full adjustment. Age, diabetes, and left ventricular hypertrophy were associated with increased recurrence risk in fully adjusted models. DISCUSSION Residents of poorer neighborhoods had a dose-dependent increase in stroke recurrence risk, and neighborhood poverty accounted for approximately one-third of the excess risk among Black individuals. These results highlight the importance of poverty, race, and the intersection of the 2 as potent drivers of stroke recurrence.
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Affiliation(s)
- Christopher J Becker
- From the Departments of Neurology (C.J.B., B.S., D.K.) and Emergency Medicine (R.R.), University of Michigan, Ann Arbor; Department of Biostatistics (H.S.), Cincinnati Children's Hospital Medical Center; Departments of Neurology and Rehabilitation Medicine (D.R., L.N., R.J.S., D.W., S.F., E.A.M., S.D., M.H., M.L.F., B.K.) and Department of Emergency Medicine (K.B.W.), University of Cincinnati, OH; Department of Neurology (A.S.J.), Yale University, New Haven, CT; Miami Neuroscience Institute (F.D.L.R.L.R.), Baptist Health South Florida; Department of Neurology (J.M.), Indiana University School of Medicine, Indianapolis; Department of Neurology (E.C.), University of Chicago, IL; Department of Neurology (S.S.), University of Kansas Medical Center, Kansas City; Department of Neurology (M.S.), Soroka Medical Center, Beersheba, Israel; and National Neurology Program (S.R.M.), Veterans Health Administration and Department of Neurology, Baylor College of Medicine, Houston, TX
| | - Heidi Sucharew
- From the Departments of Neurology (C.J.B., B.S., D.K.) and Emergency Medicine (R.R.), University of Michigan, Ann Arbor; Department of Biostatistics (H.S.), Cincinnati Children's Hospital Medical Center; Departments of Neurology and Rehabilitation Medicine (D.R., L.N., R.J.S., D.W., S.F., E.A.M., S.D., M.H., M.L.F., B.K.) and Department of Emergency Medicine (K.B.W.), University of Cincinnati, OH; Department of Neurology (A.S.J.), Yale University, New Haven, CT; Miami Neuroscience Institute (F.D.L.R.L.R.), Baptist Health South Florida; Department of Neurology (J.M.), Indiana University School of Medicine, Indianapolis; Department of Neurology (E.C.), University of Chicago, IL; Department of Neurology (S.S.), University of Kansas Medical Center, Kansas City; Department of Neurology (M.S.), Soroka Medical Center, Beersheba, Israel; and National Neurology Program (S.R.M.), Veterans Health Administration and Department of Neurology, Baylor College of Medicine, Houston, TX
| | - David Robinson
- From the Departments of Neurology (C.J.B., B.S., D.K.) and Emergency Medicine (R.R.), University of Michigan, Ann Arbor; Department of Biostatistics (H.S.), Cincinnati Children's Hospital Medical Center; Departments of Neurology and Rehabilitation Medicine (D.R., L.N., R.J.S., D.W., S.F., E.A.M., S.D., M.H., M.L.F., B.K.) and Department of Emergency Medicine (K.B.W.), University of Cincinnati, OH; Department of Neurology (A.S.J.), Yale University, New Haven, CT; Miami Neuroscience Institute (F.D.L.R.L.R.), Baptist Health South Florida; Department of Neurology (J.M.), Indiana University School of Medicine, Indianapolis; Department of Neurology (E.C.), University of Chicago, IL; Department of Neurology (S.S.), University of Kansas Medical Center, Kansas City; Department of Neurology (M.S.), Soroka Medical Center, Beersheba, Israel; and National Neurology Program (S.R.M.), Veterans Health Administration and Department of Neurology, Baylor College of Medicine, Houston, TX
| | - Brian Stamm
- From the Departments of Neurology (C.J.B., B.S., D.K.) and Emergency Medicine (R.R.), University of Michigan, Ann Arbor; Department of Biostatistics (H.S.), Cincinnati Children's Hospital Medical Center; Departments of Neurology and Rehabilitation Medicine (D.R., L.N., R.J.S., D.W., S.F., E.A.M., S.D., M.H., M.L.F., B.K.) and Department of Emergency Medicine (K.B.W.), University of Cincinnati, OH; Department of Neurology (A.S.J.), Yale University, New Haven, CT; Miami Neuroscience Institute (F.D.L.R.L.R.), Baptist Health South Florida; Department of Neurology (J.M.), Indiana University School of Medicine, Indianapolis; Department of Neurology (E.C.), University of Chicago, IL; Department of Neurology (S.S.), University of Kansas Medical Center, Kansas City; Department of Neurology (M.S.), Soroka Medical Center, Beersheba, Israel; and National Neurology Program (S.R.M.), Veterans Health Administration and Department of Neurology, Baylor College of Medicine, Houston, TX
| | - Regina Royan
- From the Departments of Neurology (C.J.B., B.S., D.K.) and Emergency Medicine (R.R.), University of Michigan, Ann Arbor; Department of Biostatistics (H.S.), Cincinnati Children's Hospital Medical Center; Departments of Neurology and Rehabilitation Medicine (D.R., L.N., R.J.S., D.W., S.F., E.A.M., S.D., M.H., M.L.F., B.K.) and Department of Emergency Medicine (K.B.W.), University of Cincinnati, OH; Department of Neurology (A.S.J.), Yale University, New Haven, CT; Miami Neuroscience Institute (F.D.L.R.L.R.), Baptist Health South Florida; Department of Neurology (J.M.), Indiana University School of Medicine, Indianapolis; Department of Neurology (E.C.), University of Chicago, IL; Department of Neurology (S.S.), University of Kansas Medical Center, Kansas City; Department of Neurology (M.S.), Soroka Medical Center, Beersheba, Israel; and National Neurology Program (S.R.M.), Veterans Health Administration and Department of Neurology, Baylor College of Medicine, Houston, TX
| | - Lisa Nobel
- From the Departments of Neurology (C.J.B., B.S., D.K.) and Emergency Medicine (R.R.), University of Michigan, Ann Arbor; Department of Biostatistics (H.S.), Cincinnati Children's Hospital Medical Center; Departments of Neurology and Rehabilitation Medicine (D.R., L.N., R.J.S., D.W., S.F., E.A.M., S.D., M.H., M.L.F., B.K.) and Department of Emergency Medicine (K.B.W.), University of Cincinnati, OH; Department of Neurology (A.S.J.), Yale University, New Haven, CT; Miami Neuroscience Institute (F.D.L.R.L.R.), Baptist Health South Florida; Department of Neurology (J.M.), Indiana University School of Medicine, Indianapolis; Department of Neurology (E.C.), University of Chicago, IL; Department of Neurology (S.S.), University of Kansas Medical Center, Kansas City; Department of Neurology (M.S.), Soroka Medical Center, Beersheba, Israel; and National Neurology Program (S.R.M.), Veterans Health Administration and Department of Neurology, Baylor College of Medicine, Houston, TX
| | - Robert J Stanton
- From the Departments of Neurology (C.J.B., B.S., D.K.) and Emergency Medicine (R.R.), University of Michigan, Ann Arbor; Department of Biostatistics (H.S.), Cincinnati Children's Hospital Medical Center; Departments of Neurology and Rehabilitation Medicine (D.R., L.N., R.J.S., D.W., S.F., E.A.M., S.D., M.H., M.L.F., B.K.) and Department of Emergency Medicine (K.B.W.), University of Cincinnati, OH; Department of Neurology (A.S.J.), Yale University, New Haven, CT; Miami Neuroscience Institute (F.D.L.R.L.R.), Baptist Health South Florida; Department of Neurology (J.M.), Indiana University School of Medicine, Indianapolis; Department of Neurology (E.C.), University of Chicago, IL; Department of Neurology (S.S.), University of Kansas Medical Center, Kansas City; Department of Neurology (M.S.), Soroka Medical Center, Beersheba, Israel; and National Neurology Program (S.R.M.), Veterans Health Administration and Department of Neurology, Baylor College of Medicine, Houston, TX
| | - Adam S Jasne
- From the Departments of Neurology (C.J.B., B.S., D.K.) and Emergency Medicine (R.R.), University of Michigan, Ann Arbor; Department of Biostatistics (H.S.), Cincinnati Children's Hospital Medical Center; Departments of Neurology and Rehabilitation Medicine (D.R., L.N., R.J.S., D.W., S.F., E.A.M., S.D., M.H., M.L.F., B.K.) and Department of Emergency Medicine (K.B.W.), University of Cincinnati, OH; Department of Neurology (A.S.J.), Yale University, New Haven, CT; Miami Neuroscience Institute (F.D.L.R.L.R.), Baptist Health South Florida; Department of Neurology (J.M.), Indiana University School of Medicine, Indianapolis; Department of Neurology (E.C.), University of Chicago, IL; Department of Neurology (S.S.), University of Kansas Medical Center, Kansas City; Department of Neurology (M.S.), Soroka Medical Center, Beersheba, Israel; and National Neurology Program (S.R.M.), Veterans Health Administration and Department of Neurology, Baylor College of Medicine, Houston, TX
| | - Daniel Woo
- From the Departments of Neurology (C.J.B., B.S., D.K.) and Emergency Medicine (R.R.), University of Michigan, Ann Arbor; Department of Biostatistics (H.S.), Cincinnati Children's Hospital Medical Center; Departments of Neurology and Rehabilitation Medicine (D.R., L.N., R.J.S., D.W., S.F., E.A.M., S.D., M.H., M.L.F., B.K.) and Department of Emergency Medicine (K.B.W.), University of Cincinnati, OH; Department of Neurology (A.S.J.), Yale University, New Haven, CT; Miami Neuroscience Institute (F.D.L.R.L.R.), Baptist Health South Florida; Department of Neurology (J.M.), Indiana University School of Medicine, Indianapolis; Department of Neurology (E.C.), University of Chicago, IL; Department of Neurology (S.S.), University of Kansas Medical Center, Kansas City; Department of Neurology (M.S.), Soroka Medical Center, Beersheba, Israel; and National Neurology Program (S.R.M.), Veterans Health Administration and Department of Neurology, Baylor College of Medicine, Houston, TX
| | - Felipe De Los Rios La Rosa
- From the Departments of Neurology (C.J.B., B.S., D.K.) and Emergency Medicine (R.R.), University of Michigan, Ann Arbor; Department of Biostatistics (H.S.), Cincinnati Children's Hospital Medical Center; Departments of Neurology and Rehabilitation Medicine (D.R., L.N., R.J.S., D.W., S.F., E.A.M., S.D., M.H., M.L.F., B.K.) and Department of Emergency Medicine (K.B.W.), University of Cincinnati, OH; Department of Neurology (A.S.J.), Yale University, New Haven, CT; Miami Neuroscience Institute (F.D.L.R.L.R.), Baptist Health South Florida; Department of Neurology (J.M.), Indiana University School of Medicine, Indianapolis; Department of Neurology (E.C.), University of Chicago, IL; Department of Neurology (S.S.), University of Kansas Medical Center, Kansas City; Department of Neurology (M.S.), Soroka Medical Center, Beersheba, Israel; and National Neurology Program (S.R.M.), Veterans Health Administration and Department of Neurology, Baylor College of Medicine, Houston, TX
| | - Jason Mackey
- From the Departments of Neurology (C.J.B., B.S., D.K.) and Emergency Medicine (R.R.), University of Michigan, Ann Arbor; Department of Biostatistics (H.S.), Cincinnati Children's Hospital Medical Center; Departments of Neurology and Rehabilitation Medicine (D.R., L.N., R.J.S., D.W., S.F., E.A.M., S.D., M.H., M.L.F., B.K.) and Department of Emergency Medicine (K.B.W.), University of Cincinnati, OH; Department of Neurology (A.S.J.), Yale University, New Haven, CT; Miami Neuroscience Institute (F.D.L.R.L.R.), Baptist Health South Florida; Department of Neurology (J.M.), Indiana University School of Medicine, Indianapolis; Department of Neurology (E.C.), University of Chicago, IL; Department of Neurology (S.S.), University of Kansas Medical Center, Kansas City; Department of Neurology (M.S.), Soroka Medical Center, Beersheba, Israel; and National Neurology Program (S.R.M.), Veterans Health Administration and Department of Neurology, Baylor College of Medicine, Houston, TX
| | - Simona Ferioli
- From the Departments of Neurology (C.J.B., B.S., D.K.) and Emergency Medicine (R.R.), University of Michigan, Ann Arbor; Department of Biostatistics (H.S.), Cincinnati Children's Hospital Medical Center; Departments of Neurology and Rehabilitation Medicine (D.R., L.N., R.J.S., D.W., S.F., E.A.M., S.D., M.H., M.L.F., B.K.) and Department of Emergency Medicine (K.B.W.), University of Cincinnati, OH; Department of Neurology (A.S.J.), Yale University, New Haven, CT; Miami Neuroscience Institute (F.D.L.R.L.R.), Baptist Health South Florida; Department of Neurology (J.M.), Indiana University School of Medicine, Indianapolis; Department of Neurology (E.C.), University of Chicago, IL; Department of Neurology (S.S.), University of Kansas Medical Center, Kansas City; Department of Neurology (M.S.), Soroka Medical Center, Beersheba, Israel; and National Neurology Program (S.R.M.), Veterans Health Administration and Department of Neurology, Baylor College of Medicine, Houston, TX
| | - Eva A Mistry
- From the Departments of Neurology (C.J.B., B.S., D.K.) and Emergency Medicine (R.R.), University of Michigan, Ann Arbor; Department of Biostatistics (H.S.), Cincinnati Children's Hospital Medical Center; Departments of Neurology and Rehabilitation Medicine (D.R., L.N., R.J.S., D.W., S.F., E.A.M., S.D., M.H., M.L.F., B.K.) and Department of Emergency Medicine (K.B.W.), University of Cincinnati, OH; Department of Neurology (A.S.J.), Yale University, New Haven, CT; Miami Neuroscience Institute (F.D.L.R.L.R.), Baptist Health South Florida; Department of Neurology (J.M.), Indiana University School of Medicine, Indianapolis; Department of Neurology (E.C.), University of Chicago, IL; Department of Neurology (S.S.), University of Kansas Medical Center, Kansas City; Department of Neurology (M.S.), Soroka Medical Center, Beersheba, Israel; and National Neurology Program (S.R.M.), Veterans Health Administration and Department of Neurology, Baylor College of Medicine, Houston, TX
| | - Stacie Demel
- From the Departments of Neurology (C.J.B., B.S., D.K.) and Emergency Medicine (R.R.), University of Michigan, Ann Arbor; Department of Biostatistics (H.S.), Cincinnati Children's Hospital Medical Center; Departments of Neurology and Rehabilitation Medicine (D.R., L.N., R.J.S., D.W., S.F., E.A.M., S.D., M.H., M.L.F., B.K.) and Department of Emergency Medicine (K.B.W.), University of Cincinnati, OH; Department of Neurology (A.S.J.), Yale University, New Haven, CT; Miami Neuroscience Institute (F.D.L.R.L.R.), Baptist Health South Florida; Department of Neurology (J.M.), Indiana University School of Medicine, Indianapolis; Department of Neurology (E.C.), University of Chicago, IL; Department of Neurology (S.S.), University of Kansas Medical Center, Kansas City; Department of Neurology (M.S.), Soroka Medical Center, Beersheba, Israel; and National Neurology Program (S.R.M.), Veterans Health Administration and Department of Neurology, Baylor College of Medicine, Houston, TX
| | - Mary Haverbusch
- From the Departments of Neurology (C.J.B., B.S., D.K.) and Emergency Medicine (R.R.), University of Michigan, Ann Arbor; Department of Biostatistics (H.S.), Cincinnati Children's Hospital Medical Center; Departments of Neurology and Rehabilitation Medicine (D.R., L.N., R.J.S., D.W., S.F., E.A.M., S.D., M.H., M.L.F., B.K.) and Department of Emergency Medicine (K.B.W.), University of Cincinnati, OH; Department of Neurology (A.S.J.), Yale University, New Haven, CT; Miami Neuroscience Institute (F.D.L.R.L.R.), Baptist Health South Florida; Department of Neurology (J.M.), Indiana University School of Medicine, Indianapolis; Department of Neurology (E.C.), University of Chicago, IL; Department of Neurology (S.S.), University of Kansas Medical Center, Kansas City; Department of Neurology (M.S.), Soroka Medical Center, Beersheba, Israel; and National Neurology Program (S.R.M.), Veterans Health Administration and Department of Neurology, Baylor College of Medicine, Houston, TX
| | - Elisheva Coleman
- From the Departments of Neurology (C.J.B., B.S., D.K.) and Emergency Medicine (R.R.), University of Michigan, Ann Arbor; Department of Biostatistics (H.S.), Cincinnati Children's Hospital Medical Center; Departments of Neurology and Rehabilitation Medicine (D.R., L.N., R.J.S., D.W., S.F., E.A.M., S.D., M.H., M.L.F., B.K.) and Department of Emergency Medicine (K.B.W.), University of Cincinnati, OH; Department of Neurology (A.S.J.), Yale University, New Haven, CT; Miami Neuroscience Institute (F.D.L.R.L.R.), Baptist Health South Florida; Department of Neurology (J.M.), Indiana University School of Medicine, Indianapolis; Department of Neurology (E.C.), University of Chicago, IL; Department of Neurology (S.S.), University of Kansas Medical Center, Kansas City; Department of Neurology (M.S.), Soroka Medical Center, Beersheba, Israel; and National Neurology Program (S.R.M.), Veterans Health Administration and Department of Neurology, Baylor College of Medicine, Houston, TX
| | - Sabreena Slavin
- From the Departments of Neurology (C.J.B., B.S., D.K.) and Emergency Medicine (R.R.), University of Michigan, Ann Arbor; Department of Biostatistics (H.S.), Cincinnati Children's Hospital Medical Center; Departments of Neurology and Rehabilitation Medicine (D.R., L.N., R.J.S., D.W., S.F., E.A.M., S.D., M.H., M.L.F., B.K.) and Department of Emergency Medicine (K.B.W.), University of Cincinnati, OH; Department of Neurology (A.S.J.), Yale University, New Haven, CT; Miami Neuroscience Institute (F.D.L.R.L.R.), Baptist Health South Florida; Department of Neurology (J.M.), Indiana University School of Medicine, Indianapolis; Department of Neurology (E.C.), University of Chicago, IL; Department of Neurology (S.S.), University of Kansas Medical Center, Kansas City; Department of Neurology (M.S.), Soroka Medical Center, Beersheba, Israel; and National Neurology Program (S.R.M.), Veterans Health Administration and Department of Neurology, Baylor College of Medicine, Houston, TX
| | - Kyle B Walsh
- From the Departments of Neurology (C.J.B., B.S., D.K.) and Emergency Medicine (R.R.), University of Michigan, Ann Arbor; Department of Biostatistics (H.S.), Cincinnati Children's Hospital Medical Center; Departments of Neurology and Rehabilitation Medicine (D.R., L.N., R.J.S., D.W., S.F., E.A.M., S.D., M.H., M.L.F., B.K.) and Department of Emergency Medicine (K.B.W.), University of Cincinnati, OH; Department of Neurology (A.S.J.), Yale University, New Haven, CT; Miami Neuroscience Institute (F.D.L.R.L.R.), Baptist Health South Florida; Department of Neurology (J.M.), Indiana University School of Medicine, Indianapolis; Department of Neurology (E.C.), University of Chicago, IL; Department of Neurology (S.S.), University of Kansas Medical Center, Kansas City; Department of Neurology (M.S.), Soroka Medical Center, Beersheba, Israel; and National Neurology Program (S.R.M.), Veterans Health Administration and Department of Neurology, Baylor College of Medicine, Houston, TX
| | - Michael Star
- From the Departments of Neurology (C.J.B., B.S., D.K.) and Emergency Medicine (R.R.), University of Michigan, Ann Arbor; Department of Biostatistics (H.S.), Cincinnati Children's Hospital Medical Center; Departments of Neurology and Rehabilitation Medicine (D.R., L.N., R.J.S., D.W., S.F., E.A.M., S.D., M.H., M.L.F., B.K.) and Department of Emergency Medicine (K.B.W.), University of Cincinnati, OH; Department of Neurology (A.S.J.), Yale University, New Haven, CT; Miami Neuroscience Institute (F.D.L.R.L.R.), Baptist Health South Florida; Department of Neurology (J.M.), Indiana University School of Medicine, Indianapolis; Department of Neurology (E.C.), University of Chicago, IL; Department of Neurology (S.S.), University of Kansas Medical Center, Kansas City; Department of Neurology (M.S.), Soroka Medical Center, Beersheba, Israel; and National Neurology Program (S.R.M.), Veterans Health Administration and Department of Neurology, Baylor College of Medicine, Houston, TX
| | - Matthew L Flaherty
- From the Departments of Neurology (C.J.B., B.S., D.K.) and Emergency Medicine (R.R.), University of Michigan, Ann Arbor; Department of Biostatistics (H.S.), Cincinnati Children's Hospital Medical Center; Departments of Neurology and Rehabilitation Medicine (D.R., L.N., R.J.S., D.W., S.F., E.A.M., S.D., M.H., M.L.F., B.K.) and Department of Emergency Medicine (K.B.W.), University of Cincinnati, OH; Department of Neurology (A.S.J.), Yale University, New Haven, CT; Miami Neuroscience Institute (F.D.L.R.L.R.), Baptist Health South Florida; Department of Neurology (J.M.), Indiana University School of Medicine, Indianapolis; Department of Neurology (E.C.), University of Chicago, IL; Department of Neurology (S.S.), University of Kansas Medical Center, Kansas City; Department of Neurology (M.S.), Soroka Medical Center, Beersheba, Israel; and National Neurology Program (S.R.M.), Veterans Health Administration and Department of Neurology, Baylor College of Medicine, Houston, TX
| | - Sharyl R Martini
- From the Departments of Neurology (C.J.B., B.S., D.K.) and Emergency Medicine (R.R.), University of Michigan, Ann Arbor; Department of Biostatistics (H.S.), Cincinnati Children's Hospital Medical Center; Departments of Neurology and Rehabilitation Medicine (D.R., L.N., R.J.S., D.W., S.F., E.A.M., S.D., M.H., M.L.F., B.K.) and Department of Emergency Medicine (K.B.W.), University of Cincinnati, OH; Department of Neurology (A.S.J.), Yale University, New Haven, CT; Miami Neuroscience Institute (F.D.L.R.L.R.), Baptist Health South Florida; Department of Neurology (J.M.), Indiana University School of Medicine, Indianapolis; Department of Neurology (E.C.), University of Chicago, IL; Department of Neurology (S.S.), University of Kansas Medical Center, Kansas City; Department of Neurology (M.S.), Soroka Medical Center, Beersheba, Israel; and National Neurology Program (S.R.M.), Veterans Health Administration and Department of Neurology, Baylor College of Medicine, Houston, TX
| | - Brett Kissela
- From the Departments of Neurology (C.J.B., B.S., D.K.) and Emergency Medicine (R.R.), University of Michigan, Ann Arbor; Department of Biostatistics (H.S.), Cincinnati Children's Hospital Medical Center; Departments of Neurology and Rehabilitation Medicine (D.R., L.N., R.J.S., D.W., S.F., E.A.M., S.D., M.H., M.L.F., B.K.) and Department of Emergency Medicine (K.B.W.), University of Cincinnati, OH; Department of Neurology (A.S.J.), Yale University, New Haven, CT; Miami Neuroscience Institute (F.D.L.R.L.R.), Baptist Health South Florida; Department of Neurology (J.M.), Indiana University School of Medicine, Indianapolis; Department of Neurology (E.C.), University of Chicago, IL; Department of Neurology (S.S.), University of Kansas Medical Center, Kansas City; Department of Neurology (M.S.), Soroka Medical Center, Beersheba, Israel; and National Neurology Program (S.R.M.), Veterans Health Administration and Department of Neurology, Baylor College of Medicine, Houston, TX
| | - Dawn Kleindorfer
- From the Departments of Neurology (C.J.B., B.S., D.K.) and Emergency Medicine (R.R.), University of Michigan, Ann Arbor; Department of Biostatistics (H.S.), Cincinnati Children's Hospital Medical Center; Departments of Neurology and Rehabilitation Medicine (D.R., L.N., R.J.S., D.W., S.F., E.A.M., S.D., M.H., M.L.F., B.K.) and Department of Emergency Medicine (K.B.W.), University of Cincinnati, OH; Department of Neurology (A.S.J.), Yale University, New Haven, CT; Miami Neuroscience Institute (F.D.L.R.L.R.), Baptist Health South Florida; Department of Neurology (J.M.), Indiana University School of Medicine, Indianapolis; Department of Neurology (E.C.), University of Chicago, IL; Department of Neurology (S.S.), University of Kansas Medical Center, Kansas City; Department of Neurology (M.S.), Soroka Medical Center, Beersheba, Israel; and National Neurology Program (S.R.M.), Veterans Health Administration and Department of Neurology, Baylor College of Medicine, Houston, TX
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Rogers AE, Schenkelberg MA, Stoepker P, Westmark D, Srivastava D, Dzewaltowski DA. Indicators of community physical activity resources and opportunities and variation by community sociodemographic characteristics: A scoping review. Prev Med Rep 2024; 40:102656. [PMID: 38435416 PMCID: PMC10904198 DOI: 10.1016/j.pmedr.2024.102656] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2023] [Revised: 02/09/2024] [Accepted: 02/11/2024] [Indexed: 03/05/2024] Open
Abstract
Objective This scoping review synthesizes studies examining community-level variability in physical activity resource (assets) and opportunity (organized group physical activity services) availability by community sociodemographic characteristics to describe methodologies for measuring resources/opportunities, indicators characterizing availability, and associations between community-level sociodemographic characteristics and availability. Methods A systematic search was conducted in MEDLINE, CINAHL, PsycINFO, and Scopus for literature through 2022. Eligible studies quantitatively examined measures of physical activity resource/opportunity availability by community-level racial, ethnic, and/or socioeconomic characteristics within geospatially defined communities. Extracted data included: community geospatial definitions, sociodemographic characteristics assessed, methodologies for measuring and indicators of community physical activity resource/opportunity availability, and study findings. Results Among the 46 included studies, community geospatial units were defined by 28 different community boundaries (e.g., town), and 13% of studies were conducted in rural areas. Nearly all (98%) studies measured community-level socioeconomic status, and 45% of studies measured race/ethnicity. A total of 41 indicators of physical activity resource/opportunity availability were identified. Most studies (91%) assessed built environment resources (e.g., parks), while 8.7% of studies assessed opportunities (e.g., programs). Of 141 associations/differences between community sociodemographic characteristics and resource/opportunity availability, 29.8% indicated greater availability in communities of higher socioeconomic status or lower prevalence of minority populations. The remaining findings were in the opposite direction (9.2%), non-significant (36.9%), or mixed (24.1%). Conclusions Variability in physical activity resources/opportunities by community sociodemographic characteristics was not consistently evident. However, the indicators synthesized may be useful for informing population health improvement efforts by illuminating the physical and social conditions impacting population physical activity outcomes.
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Affiliation(s)
- Ann E. Rogers
- Department of Health Promotion, College of Public Health, University of Nebraska Medical Center, 984365 Nebraska Medical Center, Omaha, NE 68198-4365, USA
| | - Michaela A. Schenkelberg
- School of Health and Kinesiology, College of Education, Health, and Human Sciences, University of Nebraska at Omaha, 6001 Dodge Street, Omaha, NE 68182, USA
| | - Peter Stoepker
- Department of Kinesiology, College of Health and Human Sciences, Kansas State University, 920 Denison Avenue, Manhattan, KS 66506, USA
| | - Danielle Westmark
- Leon S. McGoogan Health Sciences Library, University of Nebraska Medical Center, 986705 Nebraska Medical Center, Omaha, NE 68198-6705, USA
| | - Deepa Srivastava
- Department of Child, Youth and Family Studies, College of Education and Human Sciences, University of Nebraska-Lincoln, 840 N 14 Street, Lincoln, NE 68588-0236, USA
| | - David A. Dzewaltowski
- Department of Health Promotion, College of Public Health, University of Nebraska Medical Center, 984365 Nebraska Medical Center, Omaha, NE 68198-4365, USA
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Kang C, Lee W, Park C, Oh J, Min J, Park J, Choi M, Jang J, Kim H. Beneficial impacts of residential greenness on sleep deprivation in adults aged 19 or older living in South Korea: A nationwide community health survey in 2011-2018. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 914:169700. [PMID: 38160836 DOI: 10.1016/j.scitotenv.2023.169700] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/14/2023] [Revised: 11/22/2023] [Accepted: 12/24/2023] [Indexed: 01/03/2024]
Abstract
BACKGROUND Evidence of the relationship between greenness and sleep is limited, and, given the worsening sleep insufficiency worldwide, this relationship needs elucidation. In this study, we investigated the association of greenness with sleep deprivation using nationwide survey data. METHODS This study included 1,727,273 participants in the Korea Community Health Survey who resided in all 229 districts of South Korea from 2011 to 2018. Sleep deprivation variables were defined as strong deprivation or mild deprivation, based on average daily sleep duration of <5 or 5-6 h, respectively. District-specific annual average of satellite-derived enhanced vegetation index (EVI) was used as a green space exposure. A logistic regression with complex survey weights was used to estimate the association between greenness and sleep deprivation, and it was further examined by sex, age group, educational status, income level, and population density. The regression analysis was performed annually, and the annual estimates were pooled by a combined data analysis. RESULTS A higher level of greenness was associated (odds ratio [95 % confidence interval]) with strong and mild sleep deprivation (0.96 [0.93-0.99] and 0.96 [0.95-0.97]), respectively, and males and the younger age group (<65 years) showed a more prominent association with greenness than in females and the elderly group (65 years or older). In addition, only high-population-density areas showed evident associations of greenness with both strong and mild sleep deprivation. CONCLUSIONS This large population-based study provides important epidemiological evidence for improving sleep quantity through an increase in greenness exposure and supports policymakers in establishing strategies for urban planning.
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Affiliation(s)
- Cinoo Kang
- Department of Public Health Sciences, Graduate School of Public Health, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul 08826, Republic of Korea.
| | - Whanhee Lee
- School of Biomedical Convergence Engineering, College of Information and Biomedical Engineering, Pusan National University, 49 Busandaehak-ro, Mulgeum-eup, Yangsan-si, Gyeongsangnam-do 50612, Republic of Korea.
| | - Chaerin Park
- Department of Public Health Sciences, Graduate School of Public Health, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul 08826, Republic of Korea.
| | - Jieun Oh
- Department of Public Health Sciences, Graduate School of Public Health, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul 08826, Republic of Korea.
| | - Jieun Min
- Department of Environmental Medicine, College of Medicine, Ewha Womans University, 25 Magokdong-ro 2-gil, Ganseo-gu, Seoul 07804, Republic of Korea.
| | - Jinah Park
- Department of Public Health Sciences, Graduate School of Public Health, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul 08826, Republic of Korea.
| | - Munjeong Choi
- Department of Public Health Sciences, Graduate School of Public Health, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul 08826, Republic of Korea.
| | - Jeongju Jang
- Department of Public Health Sciences, Graduate School of Public Health, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul 08826, Republic of Korea.
| | - Ho Kim
- Department of Public Health Sciences, Graduate School of Public Health, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul 08826, Republic of Korea.
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Hallum SH, Wende ME, Hesam Shariati F, Thomas KM, Chupak AL, Witherspoon E, Kaczynski AT. Unearthing Inequities in the Relationship between Multiple Sociodemographic Factors and Diverse Elements of Park Availability and Quality in a Major Southern Metropolitan Region. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2024; 21:204. [PMID: 38397693 PMCID: PMC10888646 DOI: 10.3390/ijerph21020204] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/28/2023] [Revised: 01/18/2024] [Accepted: 01/29/2024] [Indexed: 02/25/2024]
Abstract
Parks are critical components of healthy communities. This study explored neighborhood socioeconomic and racial/ethnic inequalities in park access and quality in a large U.S. southeastern metropolitan region. A total of 241 block groups were examined, including 77 parks. For each block group, we obtained multiple sociodemographic indicators, including unemployment rate, education level, renter-occupied housing, poverty rate, and racial/ethnic minority composition. All parks were mapped using geographical information systems and audited via the Community Park Audit Tool to evaluate their features and quality. We analyzed seven diverse elements of park quality (transportation access, facility availability, facility quality, amenity availability, park aesthetics, park quality concerns, and neighborhood quality concerns), as well as an overall park quality score by calculating the mean for all parks within each block group. The mean percent of residents below 125% of the poverty level and the percentage of renter-occupied housing units were significantly higher among block groups with any parks in comparison to block groups with no parks. In addition, there were significant positive associations between park transportation access scores and both the percentage of residents with less than high school education and the percent identifying as non-Hispanic white. Moreover, there was a significant negative association between park amenity availability and the block group's unemployed population. Further, a significant negative association between park aesthetics and the population with a lower than high school education percentage was observed. Revealed differences in park availability, park acreage, and park quality dimensions emphasized the need for targeted policy, programmatic, and infrastructure interventions to improve park access and quality and address health disparities.
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Affiliation(s)
- Shirelle H. Hallum
- Department of Health Promotion, Education, and Behavior, Arnold School of Public Health, University of South Carolina, Columbia, SC 29208, USA; (S.H.H.); (F.H.S.); (K.M.T.); (A.L.C.); (E.W.)
| | - Marilyn E. Wende
- Department of Health Education and Behavior, College of Health and Human Performance, University of Florida, Gainesville, FL 32608, USA;
| | - Farnaz Hesam Shariati
- Department of Health Promotion, Education, and Behavior, Arnold School of Public Health, University of South Carolina, Columbia, SC 29208, USA; (S.H.H.); (F.H.S.); (K.M.T.); (A.L.C.); (E.W.)
| | - Kelsey M. Thomas
- Department of Health Promotion, Education, and Behavior, Arnold School of Public Health, University of South Carolina, Columbia, SC 29208, USA; (S.H.H.); (F.H.S.); (K.M.T.); (A.L.C.); (E.W.)
| | - Anna L. Chupak
- Department of Health Promotion, Education, and Behavior, Arnold School of Public Health, University of South Carolina, Columbia, SC 29208, USA; (S.H.H.); (F.H.S.); (K.M.T.); (A.L.C.); (E.W.)
| | - Eleanor Witherspoon
- Department of Health Promotion, Education, and Behavior, Arnold School of Public Health, University of South Carolina, Columbia, SC 29208, USA; (S.H.H.); (F.H.S.); (K.M.T.); (A.L.C.); (E.W.)
| | - Andrew T. Kaczynski
- Department of Health Promotion, Education, and Behavior, Arnold School of Public Health, University of South Carolina, Columbia, SC 29208, USA; (S.H.H.); (F.H.S.); (K.M.T.); (A.L.C.); (E.W.)
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9
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Bittner JMP, Gilman SE, Zhang C, Chen Z, Cheon BK. Relationships between early-life family poverty and relative socioeconomic status with gestational diabetes, preeclampsia, and hypertensive disorders of pregnancy later in life. Ann Epidemiol 2023; 86:8-15. [PMID: 37573949 PMCID: PMC10538385 DOI: 10.1016/j.annepidem.2023.08.002] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2023] [Revised: 08/04/2023] [Accepted: 08/08/2023] [Indexed: 08/15/2023]
Abstract
PURPOSE Low early-life absolute and relative socioeconomic status (SES) may contribute to socioeconomic disparities in pregnancy complications (i.e., gestational diabetes mellitus [GDM], preeclampsia/eclampsia [PE], hypertensive disorders of pregnancy [HDP; preeclampsia/eclampsia, gestational hypertension, chronic hypertension]), but their independent associations with pregnancy complications have not been studied. This study investigated associations of early-life poverty and relative SES with risks of GDM, PE, and HDP. METHODS National Longitudinal Study of Adolescent to Adult Health data were used (GDM n = 802; PE n = 813; HDP n = 801). Objective poverty was defined as wave I low-income or receipt of federal nutrition assistance benefits. Relative SES was self-reported at wave V (ages 33-39) by asking whether the participant's family was financially worse off than average when growing up. Logistic regressions assessed relationships between poverty, relative SES, and self-reported lifetime diagnoses of GDM, PE, or HDP. RESULTS Lifetime prevalences of GDM, PE, and HDP were 9.23%, 12.00%, and 21.93%, respectively. Low relative SES (odds ratio: 2.04 [1.07, 3.89]) and poverty (odds ratio: 1.81 [0.97, 3.38]) were independently associated with GDM but not with PE or HDP. CONCLUSIONS Early-life poverty and relative SES are associated with GDM; understanding the mechanisms underlying these associations may help identify novel intervention targets to reduce socioeconomic disparities in GDM.
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Affiliation(s)
- Julia M P Bittner
- Social and Behavioral Sciences Branch, Division of Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, MD.
| | - Stephen E Gilman
- Social and Behavioral Sciences Branch, Division of Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, MD; Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD
| | - Cuilin Zhang
- Global Center for Asian Women's Health, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Zhen Chen
- Biostatistics and Bioinformatics Branch, Division of Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, MD
| | - Bobby K Cheon
- Social and Behavioral Sciences Branch, Division of Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, MD
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Yin R, Wang Y, Li Y, Lynn HS, Zhang Y, Jin X, Yan LL. Changes in physical activity and all-cause mortality in the oldest old population: Findings from the Chinese Longitudinal Healthy Longevity Survey (CLHLS). Prev Med 2023; 175:107721. [PMID: 37802195 DOI: 10.1016/j.ypmed.2023.107721] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/13/2023] [Revised: 09/28/2023] [Accepted: 09/29/2023] [Indexed: 10/08/2023]
Abstract
BACKGROUND Insufficient or decreasing physical activity is common in older adults. Most studies on physical activity changes and mortality were conducted in adults younger than 80 years old in developed countries. We aimed to investigate the relationship between changes in physical activity and longevity in the oldest old (80 years or older) population using the Chinese Longitudinal Healthy Longevity Survey. METHODS Participants aged 80 or older at baseline were categorized into four groups: 1) remaining physically inactive (n = 14,287), 2) remaining physically active (n = 5411), 3) shifting from being inactive to active (n = 1364), and 4) shifting from being active to inactive (n = 1401). We fitted accelerated failure time Weibull survival regression models, adjusting for baseline sociodemographics, lifestyle factors and disease status. We further examined whether the associations differed by subgroups. RESULTS A total of 15,707 participants died during follow-up (median duration of follow-up = 3.0 years). Compared with participants who remained physically inactive, those who remained active (fully adjusted event time ratio (ETR): 1.14, 95%CI: 1.11-1.17) or shifted from being inactive to active (fully adjusted ETR: 1.14, 95%CI: 1.08-1.20) had statistically significant longer survival time. No significant association was observed between remaining physically inactive and shifting from being active to inactive. Subgroup analyses showed consistent associations in nearly all strata. CONCLUSION Maintaining frequent physical activity or shifting from being physically inactive to active was consistently associated with longer survival time in the oldest old population. Our findings provide evidence for encouraging older adults to regularly engage in physical activity to gain longevity benefits.
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Affiliation(s)
- Ruoyu Yin
- Global Health Research Center, Duke Kunshan University, No. 8 Duke Avenue, Kunshan, Jiangsu, China; Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore.
| | - Yinsu Wang
- Global Health Research Center, Duke Kunshan University, No. 8 Duke Avenue, Kunshan, Jiangsu, China.
| | - Yaxi Li
- Global Health Research Center, Duke Kunshan University, No. 8 Duke Avenue, Kunshan, Jiangsu, China; Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Henry S Lynn
- School of Public Health, Fudan University, Shanghai, China; School of Public Health, Xinjiang Medical University, Xinjiang, China.
| | - Yueqian Zhang
- Global Health Research Center, Duke Kunshan University, No. 8 Duke Avenue, Kunshan, Jiangsu, China.
| | - Xurui Jin
- MindRank AI Ltd., Hangzhou, Zhejiang 310000, China..
| | - Lijing L Yan
- Global Health Research Center, Duke Kunshan University, No. 8 Duke Avenue, Kunshan, Jiangsu, China; School of Public Health, Wuhan University, Wuhan, China; Duke Global Health Institute, Duke University, Durham, NC, USA; Department of Preventive Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA; The George Institute for Global Health, China.
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11
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Anderson KF, Wolski C. Racial/Ethnic Residential Segregation, Neighborhood Health Care Provision, and Choice of Pediatric Health Care Provider Across the USA. J Racial Ethn Health Disparities 2023:10.1007/s40615-023-01766-4. [PMID: 37624536 DOI: 10.1007/s40615-023-01766-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2023] [Revised: 07/31/2023] [Accepted: 08/16/2023] [Indexed: 08/26/2023]
Abstract
Much research has been conducted that demonstrates a link between racial/ethnic residential segregation and health care outcomes. We suggest that minority segregated neighborhoods may have diminished access to organizations and that this differential access may contribute to differences in health care outcomes across communities. We analyze this specifically using the case of pediatric health care provider choice. To examine this association, we estimate a series of multinomial logistic regression models using restricted data with ZIP code level geoidentifiers from the 2011-2012 National Survey of Children's Health (NSCH). We find that racial/ethnic residential segregation is related to a greater reliance on non-ideal forms of health care, such as clinics, and hospital outpatient departments, instead of pediatric physician's offices. This association is at least partially attenuated by the distribution of health care facilities in the local area, physician's offices, and health care practitioners in particular. Additionally, families express greater dissatisfaction with these other forms of care compared to physician's offices, demonstrating that the lack of adequate health care provision is meaningful for health care outcomes. This study expands the literature by examining how the siting of health organizations has consequences for individuals residing within these areas.
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Affiliation(s)
- Kathryn Freeman Anderson
- Department of Sociology, University of Houston, 3551 Cullen Blvd, PGH Building, Room 450, Houston, TX, 77204-3012, USA.
| | - Caroline Wolski
- Department of Sociology, University of Houston, 3551 Cullen Blvd, PGH Building, Room 450, Houston, TX, 77204-3012, USA
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Huang Y, Zhao H, Deng Q, Qi Y, Sun J, Wang M, Chang J, Hu P, Su Y, Long Y, Liu J. Association of neighborhood physical activity facilities with incident cardiovascular disease. Int J Health Geogr 2023; 22:16. [PMID: 37516882 PMCID: PMC10386722 DOI: 10.1186/s12942-023-00340-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2023] [Accepted: 07/19/2023] [Indexed: 07/31/2023] Open
Abstract
BACKGROUND The availability of physical activity (PA) facilities in neighborhoods is hypothesized to influence cardiovascular disease (CVD), but evidence from individual-level long-term cohort studies is limited. We aimed to assess the association between neighborhood exposure to PA facilities and CVD incidence. METHODS A total of 4658 participants from the Chinese Multi-provincial Cohort Study without CVD at baseline (2007-2008) were followed for the incidence of CVD, coronary heart disease (CHD), and stroke. Availability of PA facilities was defined as both the presence and the density of PA facilities within a 500-m buffer zone around the participants' residential addresses. Time-dependent Cox regression models were performed to estimate the associations between the availability of PA facilities and risks of incident CVD, CHD, and stroke. RESULTS During a median follow-up of 12.1 years, there were 518 CVD events, 188 CHD events, and 355 stroke events. Analyses with the presence indicator revealed significantly lower risks of CVD (hazard ratio [HR] 0.80, 95% confidence interval ([CI] 0.65-0.99) and stroke (HR 0.76, 95% CI 0.60-0.97) in participants with PA facilities in the 500-m buffer zone compared with participants with no nearby facilities in fully adjusted models. In analyses with the density indicator, exposure to 2 and ≥ 3 PA facilities was associated with 35% (HR 0.65, 95% CI 0.47-0.91) and 28% (HR 0.72, 95% CI 0.56-0.92) lower risks of CVD and 40% (HR 0.60, 95% CI 0.40-0.90) and 38% (HR 0.62, 95% CI 0.46-0.84) lower risks of stroke compared with those without any PA facilities in 500-m buffer, respectively. Effect modifications between presence of PA facilities and a history of hypertension for incident stroke (P = 0.049), and a history of diabetes for incident CVD (P = 0.013) and stroke (P = 0.009) were noted. CONCLUSIONS Residing in neighborhoods with better availability of PA facilities was associated with a lower risk of incident CVD. Urban planning intervention policies that increase the availability of PA facilities could contribute to CVD prevention.
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Affiliation(s)
- Yulin Huang
- Center for Clinical and Epidemiologic Research, Beijing Anzhen Hospital, Capital Medical University, 100029, Beijing, China
- Beijing Institute of Heart, Lung and Blood Vessel Diseases, Beijing, 100029, China
- National Clinical Research Center of Cardiovascular Diseases, 100029, Beijing, China
- The Key Laboratory of Remodeling-Related Cardiovascular Diseases, Ministry of Education, Beijing, 100029, China
- The Beijing Municipal Key Laboratory of Clinical Epidemiology, 100029, Beijing, China
| | - Huimin Zhao
- School of Architecture and Hang Lung Center for Real Estate, Key Laboratory of Eco Planning & Green Building, Ministry of Education, Tsinghua University, Beijing, 100084, China
| | - Qiuju Deng
- Center for Clinical and Epidemiologic Research, Beijing Anzhen Hospital, Capital Medical University, 100029, Beijing, China
- Beijing Institute of Heart, Lung and Blood Vessel Diseases, Beijing, 100029, China
- National Clinical Research Center of Cardiovascular Diseases, 100029, Beijing, China
- The Key Laboratory of Remodeling-Related Cardiovascular Diseases, Ministry of Education, Beijing, 100029, China
- The Beijing Municipal Key Laboratory of Clinical Epidemiology, 100029, Beijing, China
| | - Yue Qi
- Center for Clinical and Epidemiologic Research, Beijing Anzhen Hospital, Capital Medical University, 100029, Beijing, China
- Beijing Institute of Heart, Lung and Blood Vessel Diseases, Beijing, 100029, China
- National Clinical Research Center of Cardiovascular Diseases, 100029, Beijing, China
- The Key Laboratory of Remodeling-Related Cardiovascular Diseases, Ministry of Education, Beijing, 100029, China
- The Beijing Municipal Key Laboratory of Clinical Epidemiology, 100029, Beijing, China
| | - Jiayi Sun
- Center for Clinical and Epidemiologic Research, Beijing Anzhen Hospital, Capital Medical University, 100029, Beijing, China
- Beijing Institute of Heart, Lung and Blood Vessel Diseases, Beijing, 100029, China
- National Clinical Research Center of Cardiovascular Diseases, 100029, Beijing, China
- The Key Laboratory of Remodeling-Related Cardiovascular Diseases, Ministry of Education, Beijing, 100029, China
- The Beijing Municipal Key Laboratory of Clinical Epidemiology, 100029, Beijing, China
| | - Miao Wang
- Center for Clinical and Epidemiologic Research, Beijing Anzhen Hospital, Capital Medical University, 100029, Beijing, China
- Beijing Institute of Heart, Lung and Blood Vessel Diseases, Beijing, 100029, China
- National Clinical Research Center of Cardiovascular Diseases, 100029, Beijing, China
- The Key Laboratory of Remodeling-Related Cardiovascular Diseases, Ministry of Education, Beijing, 100029, China
- The Beijing Municipal Key Laboratory of Clinical Epidemiology, 100029, Beijing, China
| | - Jie Chang
- Center for Clinical and Epidemiologic Research, Beijing Anzhen Hospital, Capital Medical University, 100029, Beijing, China
- Beijing Institute of Heart, Lung and Blood Vessel Diseases, Beijing, 100029, China
- National Clinical Research Center of Cardiovascular Diseases, 100029, Beijing, China
- The Key Laboratory of Remodeling-Related Cardiovascular Diseases, Ministry of Education, Beijing, 100029, China
- The Beijing Municipal Key Laboratory of Clinical Epidemiology, 100029, Beijing, China
| | - Piaopiao Hu
- Center for Clinical and Epidemiologic Research, Beijing Anzhen Hospital, Capital Medical University, 100029, Beijing, China
- Beijing Institute of Heart, Lung and Blood Vessel Diseases, Beijing, 100029, China
- National Clinical Research Center of Cardiovascular Diseases, 100029, Beijing, China
- The Key Laboratory of Remodeling-Related Cardiovascular Diseases, Ministry of Education, Beijing, 100029, China
- The Beijing Municipal Key Laboratory of Clinical Epidemiology, 100029, Beijing, China
| | - Yuwei Su
- School of Urban Design, Wuhan University, Wuhan, 430072, China
| | - Ying Long
- School of Architecture and Hang Lung Center for Real Estate, Key Laboratory of Eco Planning & Green Building, Ministry of Education, Tsinghua University, Beijing, 100084, China.
| | - Jing Liu
- Center for Clinical and Epidemiologic Research, Beijing Anzhen Hospital, Capital Medical University, 100029, Beijing, China.
- Beijing Institute of Heart, Lung and Blood Vessel Diseases, Beijing, 100029, China.
- National Clinical Research Center of Cardiovascular Diseases, 100029, Beijing, China.
- The Key Laboratory of Remodeling-Related Cardiovascular Diseases, Ministry of Education, Beijing, 100029, China.
- The Beijing Municipal Key Laboratory of Clinical Epidemiology, 100029, Beijing, China.
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Garzon C, Mihailovic A, E JY, West SK, Gitlin LN, Friedman DS, Ramulu PY. The Impact of Neighborhood Factors on Physical Activity in Older Adults With Visual Impairment. Am J Ophthalmol 2023; 250:49-58. [PMID: 36682519 PMCID: PMC10175110 DOI: 10.1016/j.ajo.2023.01.017] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2022] [Revised: 01/12/2023] [Accepted: 01/12/2023] [Indexed: 01/22/2023]
Abstract
PURPOSE To investigate the associations of neighborhood-level socioeconomic and environmental characteristics with physical activity in persons with glaucoma. DESIGN Cross-sectional study (N = 230). METHODS Home addresses were used to extract neighborhood factors (NFs): Area Deprivation Index, crime rate, and the proportion of racial and ethnic minorities, poverty, college graduates, and park area in their census tract. Participants' average number of daily steps and nonsedentary minutes were collected over 7 days using an accelerometer. Visual field (VF) loss was quantified as integrated VF sensitivity. Multivariable negative binomial regression models and additional models with an interaction term evaluated the effect of NF on physical activity and whether these relationships differed by VF loss severity. RESULTS Participants were on average 70.6 years of age, 51.7% were male, and 27.8% were black. A higher Area Deprivation Index or poverty share was associated with fewer NSM (incidence rate ratio [IRR] = 0.96 per 1 Area Deprivation Index decile increment, P = .01; IRR = 0.92 per 10% poverty share increment, P = .02), while higher share of college graduates was associated with greater NSM (IRR = 1.03 per 10% increment; P = .03). Stronger associations were noted between both high crime rate and poverty share with NSM in individuals with severe VF damage as opposed to no/mild VF damage (IRR = 0.44, P = .001; IRR = 0.81, P = .02). CONCLUSIONS Select NFs (poverty share and crime rate) may disproportionately affect physical activity in patients with severe VF loss. Interventions to overcome activity limitations within the context of poverty and high socioeconomic disadvantage are important for addressing glaucoma-related disability, particularly in those with severe VF loss.
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Affiliation(s)
- Catalina Garzon
- From the Wilmer Eye Institute (C.G., A.M., J-Y.E., S.K.W., P.Y.R.), Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Aleksandra Mihailovic
- From the Wilmer Eye Institute (C.G., A.M., J-Y.E., S.K.W., P.Y.R.), Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Jian-Yu E
- From the Wilmer Eye Institute (C.G., A.M., J-Y.E., S.K.W., P.Y.R.), Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Sheila K West
- From the Wilmer Eye Institute (C.G., A.M., J-Y.E., S.K.W., P.Y.R.), Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Laura N Gitlin
- College of Nursing and Health Professions (L.N.G.), Drexel University, Philadelphia, Pennsylvania, USA
| | - David S Friedman
- and Massachusetts Eye and Ear(D.S.F.), Harvard Medical School, Boston, Massachusetts, USA
| | - Pradeep Y Ramulu
- From the Wilmer Eye Institute (C.G., A.M., J-Y.E., S.K.W., P.Y.R.), Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
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Nyarko SH, Luo L, Schlundt DG, Xiao Q. Cross-sectional association between neighborhood socioeconomic status and sleep duration among Black and white men and women: The Southern Community Cohort Study. Sleep Health 2023; 9:277-282. [PMID: 37045662 PMCID: PMC10837766 DOI: 10.1016/j.sleh.2023.01.016] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2022] [Revised: 12/19/2022] [Accepted: 01/30/2023] [Indexed: 04/14/2023]
Abstract
OBJECTIVE To examine the association of neighborhood socioeconomic status (SES) with sleep duration among a large cohort of Black and white men and women in the United States. METHODS We used data from the Southern Community Cohort Study (SCCS, N = 75,248). Neighborhood SES was based on census data and sleep duration was measured by self-report. Multinomial logistic regression analysis was performed to assess the association between neighborhood SES and short (<7 hours) and long (≥9 hours) sleep in the overall sample and according to race-sex subgroups. RESULTS In the total sample, when compared with the highest quintile of neighborhood SES, the lowest quintile was associated with higher odds of both short (adjusted ORQ5 vs. Q1 [95% CI], 1.10 [1.03, 1.17]) and long sleep (1.37 [1.24, 1.52]). In race-sex specific analysis, the association between lower neighborhood SES and short sleep was only observed among white women (1.21 [1.05, 1.40]), but not in other subgroups. On the other hand, the association between lower neighborhood SES and long sleep duration was primarily observed among Black women (1.31 [1.06, 1.60]). CONCLUSIONS The association between neighborhood SES and sleep duration varied among race-and-sex subgroups. These findings provide new evidence on the importance of considering individual sociodemographic characteristics in understanding the potential effects of neighborhood socioeconomic context on sleep health.
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Affiliation(s)
- Samuel H Nyarko
- Department of Epidemiology, Human Genetics & Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston (UTHealth), Houston, Texas, USA.
| | - Liying Luo
- Department of Sociology and Criminology, The Pennsylvania State University, University Park, Pennsylvania, USA
| | - David G Schlundt
- Department of Psychology, Vanderbilt University, Nashville, Tennessee, USA
| | - Qian Xiao
- Department of Epidemiology, Human Genetics & Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston (UTHealth), Houston, Texas, USA
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Steinbeißer KE, Wiethaler M, Schmid AT, Wolff AR. [Readiness for Implementation of Prevention and Health Promotion Measures for People in Difficult Living Situations in Deprived Municipalities in Bavaria: A Qualitative Analysis]. DAS GESUNDHEITSWESEN 2023. [PMID: 37236226 DOI: 10.1055/a-2057-6134] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/28/2023]
Abstract
OBJECTIVE The community setting is crucial to improving health equity. To enable the implementation of need-based and target-oriented measures, it is important to understand the challenges and needs of communities. This is highly relevant for deprived communities that have offered hardly any health promotion programs for socially disadvantaged people. The main research question of this study is: "How do deprived communities perceive the need for action and support in connection with the implementation of disease prevention and health promotion measures focused on socially disadvantaged people?" METHODS A qualitative, exploratory analysis through semi-structured interviews with experts (n=10) was conducted in five deprived communities in Bavaria. The degree of deprivation was represented by the Bavarian Index of Multiple Deprivation (BIMD, 2010), which shows the extent of lack of resources at the community level. Qualitative analysis of the interviews followed the theoretical framework of qualitative content analysis according to Kuckartz. RESULTS Themes arising from the interviews were (1) groups perceived to be in need of support, (2) disease prevention and health promotion assets, and (3) need for action regarding prevention and health promotion. Target groups in need of support were identified in the analyzed communities. Furthermore, it became apparent that in deprived communities there were scarcely resources and structures to address disease prevention and health promotion. CONCLUSION This study shows that deprived communities need support to implement need-based and target-oriented prevention and health promotion measures for socially disadvantaged people. However, those communities have limited capacities, and thus should be supported (e. g., through networking).
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Affiliation(s)
- Kathrin E Steinbeißer
- Koordinierungsstelle Gesundheitliche Chancengleichheit Bayern, Landeszentrale für Gesundheit in Bayern e. V., München, Germany
- Fakultät für angewandte Gesundheitswissenschaften, Technische Hochschule Deggendorf, Deggendorf, Germany
| | - Maria Wiethaler
- Koordinierungsstelle Gesundheitliche Chancengleichheit Bayern, Landeszentrale für Gesundheit in Bayern e. V., München, Germany
| | - Anna Theresa Schmid
- Koordinierungsstelle Gesundheitliche Chancengleichheit Bayern, Landeszentrale für Gesundheit in Bayern e. V., München, Germany
- Fakultät für Sport- und Gesundheitswissenschaften, Technische Universität München, München, Germany
| | - Andrea R Wolff
- Koordinierungsstelle Gesundheitliche Chancengleichheit Bayern, Landeszentrale für Gesundheit in Bayern e. V., München, Germany
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Coutinho SR, Andersen OK, Lien N, Gebremariam MK. Neighborhood deprivation, built environment, and overweight in adolescents in the city of Oslo. BMC Public Health 2023; 23:812. [PMID: 37138266 PMCID: PMC10155174 DOI: 10.1186/s12889-023-15261-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2022] [Accepted: 02/10/2023] [Indexed: 05/05/2023] Open
Abstract
BACKGROUND Even though the social and built environment characteristics of neighborhoods have been studied as potential determinants of social inequalities in obesity among adults, fewer studies have focused on children. Our first aim was to investigate whether there were differences in the food and physical activity environments between different neighborhood deprivation levels in the city of Oslo. We also explored whether there was an association between the prevalence of overweight (including obesity) among adolescents and (i) neighborhood deprivation levels and (ii) food and physical activity environments of the neighborhoods they live in. METHODS We conducted a food and physical activity environment mapping (using ArcGIS Pro) in all neighborhoods of Oslo, which were defined by administrative boundaries (sub-districts). The neighborhood deprivation score was calculated based on the percentage of households living in poverty, unemployment in the neighborhood, and residents with low education. A cross-sectional study including 802 seventh graders from 28 primary schools in Oslo residing in 75 out of 97 sub-districts in Oslo was also performed. MANCOVA and partial correlations were ran to compare the built environment distribution between different neighborhood deprivation levels, and multilevel logistic regression analyses were used to explore the effect of neighborhood deprivation and the food and physical activity environments on childhood overweight. RESULTS We found that deprived neighborhoods had greater availability of fast food restaurants and fewer indoor recreational facilities compared to low-deprived neighborhoods. Additionally, we observed that the residential neighborhoods of the adolescents with overweight had greater availability of grocery and convenience stores when compared to the residential neighborhoods of the adolescents without overweight. Adolescents living in neighborhoods with high deprivation had a two-fold higher odds (95% CI = 1.1-3.8) to have overweight compared to adolescents living in neighborhoods with low deprivation, regardless of participants' ethnicity and parental education. However, the built environment did not determine the relationship between neighborhood deprivation and overweight in adolescents. CONCLUSION The neighborhoods in Oslo with higher deprivation levels had more obesogenic characteristics than the low-deprived neighborhoods. Adolescents living in high-deprived neighborhoods were more likely to have overweight than their counterparts from low-deprived neighborhoods. Thus, preventive measures targeting adolescents from high-deprived neighborhoods should be put in place in order to reduce incidence of overweight.
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Affiliation(s)
| | | | - Nanna Lien
- Department of Nutrition, University of Oslo, Oslo, Norway
| | - Mekdes K Gebremariam
- Department of Community Medicine and Global Health, University of Oslo, Oslo, Norway
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17
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Huang Y, Sparks PJ. Longitudinal exposure to neighborhood poverty and obesity risk in emerging adulthood. SOCIAL SCIENCE RESEARCH 2023; 111:102796. [PMID: 36898786 PMCID: PMC10009773 DOI: 10.1016/j.ssresearch.2022.102796] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/29/2021] [Revised: 08/31/2022] [Accepted: 09/02/2022] [Indexed: 06/18/2023]
Abstract
This study uses data from the longitudinal Panel Study of Income Dynamics data and its Transition to Adulthood (TA) Study (2005-2017), in conjunction with decades of neighborhood-level data from the U.S. decennial census and American Community Survey, to examine the relationship between individuals' neighborhood poverty exposure trajectories in childhood and the likelihood of obesity in emerging adulthood. Latent growth mixture models reveal that exposure to neighborhood poverty differs considerably for white and nonwhite individuals over their childhood life course. Durable exposure to neighborhood poverty confers greater subsequent obesity risks in emerging adulthood than transitory experiences of neighborhood poverty. Racial differences in the changing and persistent trajectories of neighborhood poverty help explain part of the racial differences in obesity risks. Among nonwhites, and compared to consistent nonpoor neighborhood conditions, both durable and transitory neighborhood poverty exposures are significantly associated with higher obesity risks. This study suggests that a theoretical framework that integrates key elements of the life-course perspective is helpful to uncover the individual and structural pathways through which neighborhood histories in poverty shape population health in general.
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Affiliation(s)
- Ying Huang
- Department of Demography, University of Texas at San Antonio, San Antonio, TX 78207, USA.
| | - P Johnelle Sparks
- Department of Demography, University of Texas at San Antonio, San Antonio, TX 78207, USA.
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18
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Lee W, Heo S, Stewart R, Wu X, Fong KC, Son JY, Sabath B, Braun D, Park JY, Kim YC, Lee JP, Schwartz J, Kim H, Dominici F, Bell ML. Associations between greenness and kidney disease in Massachusetts: The US Medicare longitudinal cohort study. ENVIRONMENT INTERNATIONAL 2023; 173:107844. [PMID: 36841189 DOI: 10.1016/j.envint.2023.107844] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/27/2022] [Revised: 01/22/2023] [Accepted: 02/19/2023] [Indexed: 06/18/2023]
Abstract
BACKGROUND Recent studies have identified the association of environmental stressors with reduced kidney function and the development of kidney disease. While residential greenness has been linked to many health benefits, the association between residential greenness and the development of kidney disease is not clear. We aimed to investigate the association between residential greenness and the development of kidney disease. METHODS We performed a longitudinal population-based cohort study including all fee-for-service Medicare Part A beneficiaries (aged 65 years or older) in Massachusetts (2000-2016). We assessed greenness with the annual average Enhanced Vegetation Index (EVI) based on residential ZIP codes of beneficiaries. We applied Cox-equivalent Poisson models to estimate the association between EVI and first hospital admission for total kidney disease, chronic kidney disease (CKD), and acute kidney injury (AKI), separately. RESULTS Data for 1,462,949 beneficiaries who resided in a total of 644 ZIP codes were analyzed. The total person-years of follow-up for total kidney disease, CKD, and AKI were 9.8, 10.9, and 10.8 million person-years, respectively. For a 0.1 increase in annual EVI, the hazard ratios (HRs) were 0.95 (95% CI: 0.93 to 0.97) for the first hospital admission for total kidney disease, and the association was more prominent for AKI (HR: 0.94 with 95% CI: 0.92 to 0.97) than CKD (HR: 0.98 with 95% CI: 0.95-1.01]). The estimated effects of EVI on kidney disease were generally more evident in White beneficiaries and those residing in metropolitan areas compared to the overall population. CONCLUSIONS This study found that higher levels of annual residential greenness were associated with a lower risk of the first hospital admission for kidney diseases. Results are consistent with the hypothesis that higher residential greenness benefits kidney patients.
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Affiliation(s)
- Whanhee Lee
- School of Biomedical Convergence Engineering, College of Information and Biomedical Engineering, Pusan National University, Yangsan, Republic of Korea.
| | - Seulkee Heo
- Yale School of the Environment, Yale University, New Haven, CT, USA
| | - Rory Stewart
- Yale School of the Environment, Yale University, New Haven, CT, USA
| | - Xiao Wu
- Department of Biostatistics, Harvard T H Chan School of Public Health, Boston, MA, USA
| | - Kelvin C Fong
- Yale School of the Environment, Yale University, New Haven, CT, USA
| | - Ji-Young Son
- Yale School of the Environment, Yale University, New Haven, CT, USA
| | - Benjamin Sabath
- Faculty of Arts and Sciences Research Computing Department, Harvard University, Boston, MA, USA
| | - Danielle Braun
- Department of Biostatistics, Harvard T H Chan School of Public Health, Boston, MA, USA; Department of Data Science, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Jae Yoon Park
- Department of Internal Medicine, Dongguk University Ilsan Hospital, Republic of Korea; Department of Internal Medicine, Dongguk University College of Medicine, Republic of Korea
| | - Yong Chul Kim
- Department of Internal Medicine, Seoul National University Hospital, Seoul, Republic of Korea
| | - Jung Pyo Lee
- Department of Internal Medicine, Seoul National University Boramae Medical Center, Republic of Korea
| | - Joel Schwartz
- Department of Environmental Health, Harvard T H Chan School of Public Health, Boston, MA, USA
| | - Ho Kim
- Department of Public Health Science, Graduate School of Public Health, Seoul National University, Seoul, Republic of Korea; Institute for Sustainable Development, Graduate School of Public Health, Seoul National University, Republic of Korea
| | - Francesca Dominici
- Department of Biostatistics, Harvard T H Chan School of Public Health, Boston, MA, USA
| | - Michelle L Bell
- Yale School of the Environment, Yale University, New Haven, CT, USA
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Burbank AJ, Hernandez ML, Jefferson A, Perry TT, Phipatanakul W, Poole J, Matsui EC. Environmental justice and allergic disease: A Work Group Report of the AAAAI Environmental Exposure and Respiratory Health Committee and the Diversity, Equity and Inclusion Committee. J Allergy Clin Immunol 2023; 151:656-670. [PMID: 36584926 PMCID: PMC9992350 DOI: 10.1016/j.jaci.2022.11.025] [Citation(s) in RCA: 18] [Impact Index Per Article: 18.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2022] [Revised: 10/31/2022] [Accepted: 11/29/2022] [Indexed: 12/29/2022]
Abstract
Environmental justice is the concept that all people have the right to live in a healthy environment, to be protected against environmental hazards, and to participate in decisions affecting their communities. Communities of color and low-income populations live, work, and play in environments with disproportionate exposure to hazards associated with allergic disease. This unequal distribution of hazards has contributed to health disparities and is largely the result of systemic racism that promotes segregation of neighborhoods, disinvestment in predominantly racial/ethnic minority neighborhoods, and discriminatory housing, employment, and lending practices. The AAAAI Environmental Exposure and Respiratory Health Committee and Diversity, Equity and Inclusion Committee jointly developed this report to improve allergy/immunology specialists' awareness of environmental injustice, its roots in systemic racism, and its impact on health disparities in allergic disease. We present evidence supporting the relationship between exposure to environmental hazards, particularly at the neighborhood level, and the disproportionately high incidence and poor outcomes from allergic diseases in marginalized populations. Achieving environmental justice requires investment in at-risk communities to increase access to safe housing, clean air and water, employment opportunities, education, nutrition, and health care. Through policies that promote environmental justice, we can achieve greater health equity in allergic disease.
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Affiliation(s)
- Allison J Burbank
- Division of Pediatric Allergy and Immunology, University of North Carolina School of Medicine, Children's Research Institute, Chapel Hill, NC.
| | - Michelle L Hernandez
- Division of Pediatric Allergy and Immunology, University of North Carolina School of Medicine, Children's Research Institute, Chapel Hill, NC
| | - Akilah Jefferson
- University of Arkansas for Medical Sciences, Little Rock, Ark; Arkansas Children's Research Institute, Little Rock, Ark
| | - Tamara T Perry
- University of Arkansas for Medical Sciences, Little Rock, Ark; Arkansas Children's Research Institute, Little Rock, Ark
| | - Wanda Phipatanakul
- Division of Asthma, Allergy and Immunology, Boston Children's Hospital, Harvard Medical School, Boston, Mass
| | - Jill Poole
- Department of Internal Medicine, Division of Allergy and Immunology, University of Nebraska Medical Center, Omaha, Neb
| | - Elizabeth C Matsui
- Departments of Population Health and Pediatrics, Dell Medical School at University of Texas at Austin, Austin, Tex
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Ge Y, He Z. Assessing the health impacts of the urban expansion of small cities in China: A case study of Jiawang. PLoS One 2022; 17:e0279470. [PMID: 36548289 PMCID: PMC9778500 DOI: 10.1371/journal.pone.0279470] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2022] [Accepted: 12/07/2022] [Indexed: 12/24/2022] Open
Abstract
Empirical studies undertaken in developed countries have shown that urban expansion may exert both positive and negative impacts on residents' health, depending on the planning strategy; however, the impact of rapid urban expansion on public health in developing countries is understudied. This paper takes Jiawang, China, as an example of rapid urban expansion and carries out a health impact assessment (HIA) on its regulatory detailed plan to better understand the interaction of the built environment and public health. We establish an HIA framework and select a series of indicators as health determinants. On this basis, we examine what impact the urban expansion will exert on the health equity of the residents by conducting a bivariate spatial autocorrelation. The finding shows that:1) Urban expansion produces positive health impact through the health determinants of public facilities, road transportation and land use. 2) Urban expansion will reduce health disparities between the old and new town and between the urban and suburban areas, especially between the old and new town. 3) The impact of expansion exerts on health equity will be generally positive. Low-income neighborhoods in the old town will significantly benefit from urban expansion in terms of road traffic and land use, but will not fully benefit in terms of public facilities. Low-income neighborhoods will no longer benefit from the accessibility to commercial facilities and will suffer from health inequities in terms of accessibility to healthcare facilities. 4) The government's development strategy of emphasizing on an even distribution of public resources will unintentionally contribute to improving health equity. The significant promotion of health equity will mitigate the negative impacts of the previous urban development.
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Affiliation(s)
- Yifu Ge
- School of Architecture and Urban Planning, Nanjing University, Nanjing, China
| | - Zhongyu He
- School of Architecture and Urban Planning, Nanjing University, Nanjing, China
- * E-mail:
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21
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Simoncic V, Deguen S, Enaux C, Vandentorren S, Kihal-Talantikite W. A Comprehensive Review on Social Inequalities and Pregnancy Outcome-Identification of Relevant Pathways and Mechanisms. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:ijerph192416592. [PMID: 36554473 PMCID: PMC9779203 DOI: 10.3390/ijerph192416592] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/15/2022] [Revised: 12/06/2022] [Accepted: 12/08/2022] [Indexed: 05/12/2023]
Abstract
Scientific literature tends to support the idea that the pregnancy and health status of fetuses and newborns can be affected by maternal, parental, and contextual characteristics. In addition, a growing body of evidence reports that social determinants, measured at individual and/or aggregated level(s), play a crucial role in fetal and newborn health. Numerous studies have found social factors (including maternal age and education, marital status, pregnancy intention, and socioeconomic status) to be linked to poor birth outcomes. Several have also suggested that beyond individual and contextual social characteristics, living environment and conditions (or "neighborhood") emerge as important determinants in health inequalities, particularly for pregnant women. Using a comprehensive review, we present a conceptual framework based on the work of both the Commission on Social Determinants of Health and the World Health Organization (WHO), aimed at describing the various pathways through which social characteristics can affect both pregnancy and fetal health, with a focus on the structural social determinants (such as socioeconomic and political context) that influence social position, as well as on intermediary determinants. We also suggest that social position may influence more specific intermediary health determinants; individuals may, on the basis of their social position, experience differences in environmental exposure and vulnerability to health-compromising living conditions. Our model highlights the fact that adverse birth outcomes, which inevitably lead to health inequity, may, in turn, affect the individual social position. In order to address both the inequalities that begin in utero and the disparities observed at birth, it is important for interventions to target various unhealthy behaviors and psychosocial conditions in early pregnancy. Health policy must, then, support: (i) midwifery availability and accessibility and (ii) enhanced multidisciplinary support for deprived pregnant women.
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Affiliation(s)
- Valentin Simoncic
- LIVE UMR 7362 CNRS (Laboratoire Image Ville Environnement), University of Strasbourg, 67100 Strasbourg, France
- Correspondence:
| | - Séverine Deguen
- Equipe PHARes Population Health Translational Research, Inserm CIC 1401, Bordeaux Population Health Research Center, University of Bordeaux, 33076 Boedeaux, France
| | - Christophe Enaux
- LIVE UMR 7362 CNRS (Laboratoire Image Ville Environnement), University of Strasbourg, 67100 Strasbourg, France
| | - Stéphanie Vandentorren
- Equipe PHARes Population Health Translational Research, Inserm CIC 1401, Bordeaux Population Health Research Center, University of Bordeaux, 33076 Boedeaux, France
- Santé Publique France, French National Public Health Agency, 94410 Saint-Maurice, France
| | - Wahida Kihal-Talantikite
- LIVE UMR 7362 CNRS (Laboratoire Image Ville Environnement), University of Strasbourg, 67100 Strasbourg, France
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22
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Fan Q, Keene DE, Banegas MP, Gehlert S, Gottlieb LM, Yabroff KR, Pollack CE. Housing Insecurity Among Patients With Cancer. J Natl Cancer Inst 2022; 114:1584-1592. [PMID: 36130291 PMCID: PMC9949594 DOI: 10.1093/jnci/djac136] [Citation(s) in RCA: 21] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2022] [Revised: 06/03/2022] [Accepted: 06/13/2022] [Indexed: 01/11/2023] Open
Abstract
Social determinants of health are the economic and environmental conditions under which people are born, live, work, and age that affect health. These structural factors underlie many of the long-standing inequities in cancer care and outcomes that vary by geography, socioeconomic status, and race and ethnicity in the United States. Housing insecurity, including lack of safe, affordable, and stable housing, is a key social determinant of health that can influence-and be influenced by-cancer care across the continuum, from prevention to screening, diagnosis, treatment, and survivorship. During 2021, the National Cancer Policy Forum of the National Academies of Science, Engineering, and Medicine sponsored a series of webinars addressing social determinants of health, including food, housing, and transportation insecurity, and their associations with cancer care and patient outcomes. This dissemination commentary summarizes the formal presentations and panel discussions from the webinar devoted to housing insecurity. It provides an overview of housing insecurity and health care across the cancer control continuum, describes health system interventions to minimize the impact of housing insecurity on patients with cancer, and identifies challenges and opportunities for addressing housing insecurity and improving health equity. Systematically identifying and addressing housing insecurity to ensure equitable access to cancer care and reduce health disparities will require ongoing investment at the practice, systems, and broader policy levels.
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Affiliation(s)
- Qinjin Fan
- Correspondence to: Qinjin Fan, PhD, Surveillance & Health Equity Science Department, American Cancer Society, 3380 Chastain Meadows Pkwy, NW Suite 200, Kennesaw, GA 30144, USA (e-mail: )
| | - Danya E Keene
- Department of Social and Behavioral Sciences, Yale School of Public Health, New Haven, CT, USA
| | - Matthew P Banegas
- Department of Radiation Medicine and Applied Sciences, University of California, San Diego, CA, USA
| | - Sarah Gehlert
- Suzanne Dworak-Peck School of Social Work, University of Southern California, Los Angeles, CA, USA
| | - Laura M Gottlieb
- Social Interventions Research and Evaluation Network, University of California, San Francisco, CA, USA
| | - K Robin Yabroff
- Surveillance & Health Equity Science Department, American Cancer Society, Atlanta, GA, USA
| | - Craig E Pollack
- Department of Health Policy and Management, Johns Hopkins School of Public Health, Baltimore, MD, USA
- Johns Hopkins School of Nursing, Baltimore, MD, USA
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23
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Harden SR, Schuurman N, Keller P, Lear SA. Neighborhood Characteristics Associated with Running in Metro Vancouver: A Preliminary Analysis. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:14328. [PMID: 36361206 PMCID: PMC9658309 DOI: 10.3390/ijerph192114328] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/07/2022] [Revised: 10/30/2022] [Accepted: 10/31/2022] [Indexed: 06/16/2023]
Abstract
Running can improve physical health and psychological wellbeing. However, the characteristics of conducive running environments are relatively unknown. This study determines neighborhood factors that attract running and explores how age and gender mediate built environment preferences. Spatial patterns of runners in Metro Vancouver were identified using crowdsourced fitness data from Strava, a popular application for tracking physical activities. The influence of socio-economic status (SES), green and/or blue space, and urbanicity on route popularity was assessed using a Generalized Linear Model (GLM). The influence of these neighborhood variables was also calculated for runners by age and gender. The results show high neighborhood SES, the presence of green and/or blue space, and high population density are associated with increased running activities in all age and gender groups. This study contributes a novel approach to understanding conducive running environments by demonstrating the utility of crowdsourced data in combination with data about urban environments. The patterns of this large group of runners can be used to inform planning for cities that promote running, as well as seek to encourage equal participation among different ages and genders.
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Affiliation(s)
- Stella R. Harden
- Faculty of Environment, Simon Fraser University, 8888 University Drive, Burnaby, BC V5A 1S6, Canada
| | - Nadine Schuurman
- Faculty of Environment, Simon Fraser University, 8888 University Drive, Burnaby, BC V5A 1S6, Canada
| | - Peter Keller
- Faculty of Environment, Simon Fraser University, 8888 University Drive, Burnaby, BC V5A 1S6, Canada
| | - Scott A. Lear
- Faculty of Health Sciences, Simon Fraser University, 8888 University Drive, Burnaby, BC V5A 1S6, Canada
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24
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Implications of disparities in social and built environment antecedents to adult nature engagement. PLoS One 2022; 17:e0274948. [PMID: 36149849 PMCID: PMC9506603 DOI: 10.1371/journal.pone.0274948] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2021] [Accepted: 09/07/2022] [Indexed: 11/24/2022] Open
Abstract
Antecedent factors which influence adult engagement with nature are underexplored given the human health benefits strongly associated with nature exposure. Formative pathways and impediments to nature contact merit understanding as they may contribute to later-life health disparities. We probed experiential pathways and attitudes toward nature engagement among adults purposefully sampled across U.S. regions, age, race/ethnicity, and urbanicity through semi-structured focus group discussions. The research aims were to explore entryways and barriers to experiencing nature and learn how natured and built environments compete in influencing human-nature relationships. Sessions were recorded, transcribed, and analyzed following Braun and Clarke’s phases of thematic analysis. Qualitative content analysis of discussions identified three principal themes: 1) formative influences promoting adult nature engagement (i.e., persons/organizations and places of origin), 2) detractors from nature engagement (i.e., perceptual, material, and physical barriers), and 3) role of current setting (i.e., natural and built environments) shaping nature-seeking relationships. We found experiential factors that included early life exposures outdoors, personal mentorship, and organizational affiliation to be highly influential in socializing individuals to nature and in soldering attachment to nature which manifests into adulthood. In contrast, changing demographics and childhood, inequity, social dynamics, metropolitan growth, urban renewal explained alienation from nature. These findings emphasize the importance of efforts to expand opportunities for nature contact, especially for youth living in economically challenged urban areas, which go beyond increasing greenspace to encompass mentoring partnerships for gaining skills and comfort outdoors and redesign of safe natured spaces within cities for hands-on learning and discovery.
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25
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Neighborhood disadvantage and lung cancer risk in a national cohort of never smoking Black women. Lung Cancer 2022; 173:21-27. [PMID: 36108579 PMCID: PMC9588723 DOI: 10.1016/j.lungcan.2022.08.022] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2022] [Revised: 08/25/2022] [Accepted: 08/30/2022] [Indexed: 11/22/2022]
Abstract
BACKGROUND Compared to women of other races who have never smoked, Black women have a higher risk of lung cancer. Whether neighborhood disadvantage, which Black women experience at higher rates than other women, is linked to never-smoking lung cancer risk remains unclear. This study investigates the association of neighborhood disadvantage and lung cancer risk in Black never-smoking women. METHODS AND MATERIALS This research utilized data from the Black Women's Health Study, a prospective cohort of 59,000 Black women recruited from across the US in 1995 and followed by biennial questionnaires. Associations of lung cancer incidence with neighborhood-level factors (including two composite variables derived from Census Bureau data: neighborhood socioeconomic status and neighborhood concentrated disadvantage), secondhand smoke exposure, and PM2.5 were estimated using Fine-Gray subdistribution hazard models. RESULTS Among 37,650 never-smokers, 77 were diagnosed with lung cancer during follow-up from 1995 to 2018. The adjusted subdistribution hazard ratio (sHR) of lung cancer incidence with ten unit increase in neighborhood concentrated disadvantage index was 1.30 (95 % CI: 1.04, 1.63, p = 0.023). Exposure to secondhand smoke at work was associated with increased risk (sHR = 1.93, 95 % CI: 1.21, 3.10, p = 0.006), but exposure to secondhand smoke at home and PM2.5 was not. CONCLUSION Worse neighborhood concentrated disadvantage was associated with increased lung cancer risk in Black women who never smoked. These findings suggest that non-tobacco-related factors in disadvantaged neighborhoods may be linked to lung cancer risk in Black women and that these factors must be understood and targeted to achieve health equity.
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Mori T, Aoki T, Oishi K, Harada T, Tanaka C, Tanaka S, Tanaka H, Fukuda K, Kamikawa Y, Tsuji N, Komura K, Kokudo S, Morita N, Suzuki K, Watanabe M, Kasanami R, Hara T, Miyazaki R, Abe T, Yamatsu K, Kume D, Asai H, Yamamoto N, Tsuji T, Nakaya T, Ishii K. Neighborhood-level socioeconomic factors moderate the association between physical activity and relative age effect: a cross-sectional survey study with Japanese adolescents. BMC Public Health 2022; 22:1656. [PMID: 36050681 PMCID: PMC9434946 DOI: 10.1186/s12889-022-14052-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2022] [Accepted: 08/22/2022] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Relative age effect is defined as a phenomenon where children born early generally perform better than children born later in the same cohort. Physical activity is an important factor that might be influenced by the relative age effect. Socioeconomic factors (e.g., parent's income, education level) are also associated with the adolescent's physical activity. However, no existing study has examined whether socioeconomic factors moderate the relative age effect on the adolescent's physical activity. This study aims to clarify whether and how birth month and socioeconomic factors relate to organized sports and physical activity among adolescents in Japan. METHODS We conducted a questionnaire survey targeting 21,491 adolescents who live in a widespread neighborhood. We included 8102 adolescents (4087 males and 4015 females: mean age 13.1 ± 1.4) in the analysis. Based on the participants' birth months, we divided them into four groups (April to June, July to September, October to December, January to March). We asked participants to report their organized sports participation. Using the International Physical Activity Questionnaire for Japanese Early Adolescents, we identified their moderate to vigorous physical activity (MVPA). Neighborhood-level socioeconomic factors (areal deprivation, average annual income, education level) were analyzed based on national surveys, such as the population census. We performed multilevel logistic and linear regression analysis for organized sports participation and MVPA, respectively. Moreover, a simple slope analysis was implemented if the interaction between birth month and socioeconomic factor was significant in the multilevel linear regression analysis. RESULTS Among males, relatively younger adolescents (adolescents who were born later in the same grade) were less likely to participate in organized sports activites (OR=0.90, 95% CI 0.82-0.97, p<0.05), while both males and females engaged in less MVPA (b=-0.54, b=-0.25, p< 0.01, respectively). We observed an interaction between birth month and socioeconomic factors. Among males in low-income neighborhoods, and females in more deprived neighborhoods, relatively younger adolescents engaged in less MVPA. CONCLUSIONS Socioeconomic factors moderate the relative age effect on adolescents' physical activity. The relative age effect on adolescents' physical activity might be more likely to appear among adolescents from socioeconomically disadvantaged neighborhoods.
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Affiliation(s)
- Takaaki Mori
- Graduate School of Health and Sports Science, Doshisha University, Kyotanabe, Japan
| | - Takumi Aoki
- Faculty of Education, Miyagi Gakuin Women's University, Sendai, Japan
| | - Kan Oishi
- Graduate School of Health and Sports Science, Doshisha University, Kyotanabe, Japan
| | - Tetsuo Harada
- Education Unit, Humanities and Social Science Cluster, Research and Education Faculty, Kochi University, Kochi, Japan
| | - Chiaki Tanaka
- Department of Human Nutrition, Tokyo Kasei Gakuin University, Tokyo, Japan
| | - Shigeho Tanaka
- Faculty of Nutrition, Kagawa Nutrition University, Sakato, Japan
| | - Hideki Tanaka
- Department of Medical Science and Technology, Faculty of Health Science, Hiroshima International University, Higashihiroshima, Japan
| | - Kazuhiko Fukuda
- Department of Psychology and Humanities, Faculty of Sociology, Edogawa University, Nagareyama, Japan
| | | | - Nobuhiro Tsuji
- Graduate School of Education, Shiga University, Otsu, Japan
| | | | - Shohei Kokudo
- School of Health and Sports Sciences, Chukyo University, Toyota, Japan
| | - Noriteru Morita
- Department of Sports Cultural Studies, Hokkaido University of Education, Iwamizawa, Japan
| | - Kazuhiro Suzuki
- Faculty of Education, Miyagi Gakuin Women's University, Sendai, Japan
| | | | - Ryoji Kasanami
- Health and Sports Science Education, Faculty of Education, Nara University of Education, Nara, Japan
| | - Taketaka Hara
- Faculty of Education, Shimane University, Matsue, Japan
| | - Ryo Miyazaki
- Faculty of Human Sciences, Shimane University, Matsue, Japan
| | - Takafumi Abe
- Center for Community-Based Healthcare Research and Education (CoHRE), Head Office for Research and Academic Information, Shimane University, Izumo, Japan
| | - Koji Yamatsu
- Faculty of Education, Saga University, Saga, Japan
| | - Daisuke Kume
- Faculty of Information Science and Technology, Osaka Institute Technology, Hirakata, Japan
| | - Hedenori Asai
- Faculty of Collaborative Regional Innovation, Ehime University, Matsuyama, Japan
| | - Naofumi Yamamoto
- Faculty of Collaborative Regional Innovation, Ehime University, Matsuyama, Japan
| | - Taishi Tsuji
- Faculty of Health and Sports Sciences, University of Tsukuba, Tokyo, Japan
| | - Tomoki Nakaya
- Graduate School of Environmental Studies, Tohoku University, Sendai, Japan
| | - Kojiro Ishii
- Faculty of Health and Sports Science, Doshisha University, Kyotanabe, Japan.
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Ke Y, Shi L, Peng L, Chen S, Hong J, Liu Y. Associations between socioeconomic status and physical activity: A cross-sectional analysis of Chinese children and adolescents. Front Psychol 2022; 13:904506. [PMID: 36118481 PMCID: PMC9477139 DOI: 10.3389/fpsyg.2022.904506] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2022] [Accepted: 08/05/2022] [Indexed: 11/13/2022] Open
Abstract
ObjectivesAlthough socioeconomic status (SES) has been shown to be an important determinant of physical activity (PA) in adults, the association in children and adolescents remains less consistent based on evidence from western developed countries. The purpose of this study, therefore, is to investigate associations between SES and PA among Chinese children and adolescents.MethodsA cross-sectional study was conducted with a self-reported questionnaire in China. The multi-stage stratified cluster sampling method was used, and 2,955 children and adolescents (8–17 years old, 53.4% girls) were enrolled in this study. SES was assessed by measuring parental education levels, perceived family wealth, and Family Affluence Scale II (FAS II). PA was assessed by reliable and valid items from the Health Behavior School-aged Children Surveillance questionnaires. Descriptive statistics were used to report sample characteristics, including demographic characteristics, levels of PA, and SES. The Chi-square test was applied to analyze the differences of PA in gender and school period. Binary logistic regression was used to analyze the association between SES and PA among children and adolescents.ResultsOverall, 10.4% of children and adolescents accumulated moderate-to-vigorous physical activity (MVPA) at least 60 min per day. Boys were more physically active than girls (14.1% vs. 7.2%, p < 0.001). Higher socioeconomic status was positively associated with higher physical activity levels among children and adolescents, especially using FAS and mother education level as SES measures. The association between SES and PA varied by gender and grade group, and the effects of SES are also different on weekdays and weekends.ConclusionThis study found socioeconomic disparities in PA among Chinese children and adolescents, and showed the importance of targeting children and adolescents with low SES intervention priority. Based on these research findings, it is suggested that SES, especially for FAS and mother education level, should be considered when designing and implementing the promotion of regular PA in children and adolescents. Health policymakers may use this information to develop interventions to reduce health inequalities among children and adolescents in the future.
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Affiliation(s)
- Youzhi Ke
- School of Physical Education, Shanghai University of Sport, Shanghai, China
| | - Lijuan Shi
- Department of Comprehensive Education and Preschool Education, Shanghai Teacher Training Center, Shanghai, China
| | - Lingqun Peng
- School of Physical Education, Shanghai University of Electric Power, Shanghai, China
| | - Sitong Chen
- Institute for Health and Sport, Victoria University, Melbourne, VIC, Australia
| | - Jintao Hong
- Shanghai Research Institute of Sports Science, Shanghai, China
| | - Yang Liu
- School of Physical Education, Shanghai University of Sport, Shanghai, China
- Shanghai Research Center for Physical Fitness and Health of Children and Adolescents, Shanghai, China
- *Correspondence: Yang Liu,
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Sang CJ, Song X, de Visser RSF, Krallman R, Montgomery D, Pai CW, Kline-Rogers E, DuRussel-Weston J, Eagle KA, Jackson EA. Lifestyle Behaviors and Cardiometabolic Health in Middle-School Children. Child Obes 2022; 18:361-368. [PMID: 34871088 DOI: 10.1089/chi.2021.0135] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Abstract
Background: Lifestyle behaviors (LB), defined by diet and physical activity, are associated with cardiometabolic health among adults. The association of LB with cardiometabolic health among middle-school children is uncertain. Methods: An abbreviated version of the School Physical Activity and Nutrition survey was used to examine LB among students participating in a wellness program between 2004 and 2018. Students were incorporated into three groups determined by self-reported healthy LB (≥6, 4-5, ≤3 behaviors), including; ≤1 serving/day sugary foods/beverages; ≤1 serving/day fried/fatty foods; ≥1 serving/day fruits and vegetables; ≤2 hours of screen time/day; ≥1 day/week of physical education; ≥1 team sport/year; and ≥1 session/week of moderate to vigorous activity. Baseline cardiometabolic parameters [BMI, lipids, glucose, and blood pressure (BP)], resting heart rate (HR), and HR recovery were examined in association with LB groups. Results: Of 2538 children, 488 (19.2%) reported ≥6, 1219 (48.0%) reported 4-5, and 831 (32.7%) reported ≤3 LB. White or Asian race and higher socioeconomic status were associated with ≥6 LB (p < 0.001). Students performing ≤3 LB exhibited higher BMI (p < 0.001), BP (p = 0.001), resting HR (p < 0.001), and HR recovery (p < 0.001). Students performing ≥6 LB were less likely to be overweight (p < 0.001), obese (p < 0.001), or have low high-density lipoprotein (p = 0.05); however, more likely to have elevated triglycerides (p < 0.01). Conclusions: Among middle-school students, baseline BMI, BP, resting, and recovery HR were higher among children reporting fewer healthy LB. Students performing more healthy LB were less likely to be overweight or obese. Efforts to improve LB among middle-school children may be important for primordial cardiovascular prevention efforts.
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Affiliation(s)
- Charlie J Sang
- Department of Internal Medicine and Pediatrics, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Ximou Song
- Division of Cardiovascular Medicine, Department of Internal Medicine, Michigan Medicine, Ann Arbor, MI, USA
| | - Rosa S F de Visser
- Division of Cardiovascular Medicine, Department of Internal Medicine, Michigan Medicine, Ann Arbor, MI, USA
| | - Rachel Krallman
- Division of Cardiovascular Medicine, Department of Internal Medicine, Michigan Medicine, Ann Arbor, MI, USA
| | - Daniel Montgomery
- Division of Cardiovascular Medicine, Department of Internal Medicine, Michigan Medicine, Ann Arbor, MI, USA
| | - Chih-Wen Pai
- Division of Cardiovascular Medicine, Department of Internal Medicine, Michigan Medicine, Ann Arbor, MI, USA
| | - Eva Kline-Rogers
- Division of Cardiovascular Medicine, Department of Internal Medicine, Michigan Medicine, Ann Arbor, MI, USA
| | | | - Kim A Eagle
- Division of Cardiovascular Medicine, Department of Internal Medicine, Michigan Medicine, Ann Arbor, MI, USA
| | - Elizabeth A Jackson
- Division of Cardiovascular Disease, Department of Medicine, University of Alabama at Birmingham, Birmingham, AL, USA
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Powell-Wiley TM, Martinez MF, Tamura K, Neally SJ, O'Shea KJ, Curlin K, Albarracin Y, Vijayakumar NP, Morgan M, Ortiz-Chaparro E, Bartsch SM, Osei Baah F, Wedlock PT, Ortiz-Whittingham LR, Scannell S, Potharaju KA, Randall S, Solano Gonzales M, Domino M, Ranganath K, Hertenstein D, Syed R, Weatherwax C, Lee BY. The Impact of a Place-Tailored Digital Health App Promoting Exercise Classes on African American Women's Physical Activity and Obesity: Simulation Study. J Med Internet Res 2022; 24:e30581. [PMID: 35994313 PMCID: PMC9446149 DOI: 10.2196/30581] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2021] [Revised: 12/17/2021] [Accepted: 06/30/2022] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND The increasing prevalence of smartphone apps to help people find different services raises the question of whether apps to help people find physical activity (PA) locations would help better prevent and control having overweight or obesity. OBJECTIVE The aim of this paper is to determine and quantify the potential impact of a digital health intervention for African American women prior to allocating financial resources toward implementation. METHODS We developed our Virtual Population Obesity Prevention, agent-based model of Washington, DC, to simulate the impact of a place-tailored digital health app that provides information about free recreation center classes on PA, BMI, and overweight and obesity prevalence among African American women. RESULTS When the app is introduced at the beginning of the simulation, with app engagement at 25% (eg, 25% [41,839/167,356] of women aware of the app; 25% [10,460/41,839] of those aware downloading the app; and 25% [2615/10,460] of those who download it receiving regular push notifications), and a 25% (25/100) baseline probability to exercise (eg, without the app), there are no statistically significant increases in PA levels or decreases in BMI or obesity prevalence over 5 years across the population. When 50% (83,678/167,356) of women are aware of the app; 58.23% (48,725/83,678) of those who are aware download it; and 55% (26,799/48,725) of those who download it receive regular push notifications, in line with existing studies on app usage, introducing the app on average increases PA and decreases weight or obesity prevalence, though the changes are not statistically significant. When app engagement increased to 75% (125,517/167,356) of women who were aware, 75% (94,138/125,517) of those who were aware downloading it, and 75% (70,603/94,138) of those who downloaded it opting into the app's push notifications, there were statistically significant changes in PA participation, minutes of PA and obesity prevalence. CONCLUSIONS Our study shows that a digital health app that helps identify recreation center classes does not result in substantive population-wide health effects at lower levels of app engagement. For the app to result in statistically significant increases in PA and reductions in obesity prevalence over 5 years, there needs to be at least 75% (125,517/167,356) of women aware of the app, 75% (94,138/125,517) of those aware of the app download it, and 75% (70,603/94,138) of those who download it opt into push notifications. Nevertheless, the app cannot fully overcome lack of access to recreation centers; therefore, public health administrators as well as parks and recreation agencies might consider incorporating this type of technology into multilevel interventions that also target the built environment and other social determinants of health.
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Affiliation(s)
- Tiffany M Powell-Wiley
- Social Determinants of Obesity and Cardiovascular Risk Laboratory, Cardiovascular Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, United States
- Intramural Research Program, National Institute on Minority Health and Health Disparities, National Institutes of Health, Bethesda, MD, United States
| | - Marie F Martinez
- Public Health Informatics, Computational, and Operations Research, CUNY Graduate School of Public Health and Health Policy, New York, NY, United States
- Center for Advanced Technology and Communication in Health, CUNY Graduate School of Public Health and Health Policy, New York, NY, United States
| | - Kosuke Tamura
- Socio-Spatial Determinants of Health (SSDH) Laboratory, Population and Community Sciences Branch, Intramural Research Program, National Institute on Minority Health and Health Disparities, National Institutes of Health, Bethesda, MD, United States
| | - Sam J Neally
- Social Determinants of Obesity and Cardiovascular Risk Laboratory, Cardiovascular Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, United States
| | - Kelly J O'Shea
- Public Health Informatics, Computational, and Operations Research, CUNY Graduate School of Public Health and Health Policy, New York, NY, United States
- Center for Advanced Technology and Communication in Health, CUNY Graduate School of Public Health and Health Policy, New York, NY, United States
| | - Kaveri Curlin
- Social Determinants of Obesity and Cardiovascular Risk Laboratory, Cardiovascular Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, United States
| | - Yardley Albarracin
- Public Health Informatics, Computational, and Operations Research, CUNY Graduate School of Public Health and Health Policy, New York, NY, United States
| | - Nithya P Vijayakumar
- Social Determinants of Obesity and Cardiovascular Risk Laboratory, Cardiovascular Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, United States
| | - Matthew Morgan
- Public Health Informatics, Computational, and Operations Research, CUNY Graduate School of Public Health and Health Policy, New York, NY, United States
| | - Erika Ortiz-Chaparro
- Social Determinants of Obesity and Cardiovascular Risk Laboratory, Cardiovascular Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, United States
| | - Sarah M Bartsch
- Public Health Informatics, Computational, and Operations Research, CUNY Graduate School of Public Health and Health Policy, New York, NY, United States
- Center for Advanced Technology and Communication in Health, CUNY Graduate School of Public Health and Health Policy, New York, NY, United States
| | - Foster Osei Baah
- Social Determinants of Obesity and Cardiovascular Risk Laboratory, Cardiovascular Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, United States
| | - Patrick T Wedlock
- Public Health Informatics, Computational, and Operations Research, CUNY Graduate School of Public Health and Health Policy, New York, NY, United States
- Center for Advanced Technology and Communication in Health, CUNY Graduate School of Public Health and Health Policy, New York, NY, United States
| | - Lola R Ortiz-Whittingham
- Social Determinants of Obesity and Cardiovascular Risk Laboratory, Cardiovascular Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, United States
| | - Sheryl Scannell
- Public Health Informatics, Computational, and Operations Research, CUNY Graduate School of Public Health and Health Policy, New York, NY, United States
- Center for Advanced Technology and Communication in Health, CUNY Graduate School of Public Health and Health Policy, New York, NY, United States
| | - Kameswari A Potharaju
- Social Determinants of Obesity and Cardiovascular Risk Laboratory, Cardiovascular Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, United States
| | - Samuel Randall
- Public Health Informatics, Computational, and Operations Research, CUNY Graduate School of Public Health and Health Policy, New York, NY, United States
| | - Mario Solano Gonzales
- Public Health Informatics, Computational, and Operations Research, CUNY Graduate School of Public Health and Health Policy, New York, NY, United States
| | - Molly Domino
- Public Health Informatics, Computational, and Operations Research, CUNY Graduate School of Public Health and Health Policy, New York, NY, United States
| | - Kushi Ranganath
- Public Health Informatics, Computational, and Operations Research, CUNY Graduate School of Public Health and Health Policy, New York, NY, United States
| | - Daniel Hertenstein
- Public Health Informatics, Computational, and Operations Research, CUNY Graduate School of Public Health and Health Policy, New York, NY, United States
| | - Rafay Syed
- Public Health Informatics, Computational, and Operations Research, CUNY Graduate School of Public Health and Health Policy, New York, NY, United States
| | - Colleen Weatherwax
- Public Health Informatics, Computational, and Operations Research, CUNY Graduate School of Public Health and Health Policy, New York, NY, United States
- Center for Advanced Technology and Communication in Health, CUNY Graduate School of Public Health and Health Policy, New York, NY, United States
| | - Bruce Y Lee
- Public Health Informatics, Computational, and Operations Research, CUNY Graduate School of Public Health and Health Policy, New York, NY, United States
- Center for Advanced Technology and Communication in Health, CUNY Graduate School of Public Health and Health Policy, New York, NY, United States
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Grubben M, Wiertsema S, Hoekman R, Kraaykamp G. Is Working from Home during COVID-19 Associated with Increased Sports Participation? Contexts of Sports, Sports Location and Socioeconomic Inequality. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:10027. [PMID: 36011663 PMCID: PMC9408749 DOI: 10.3390/ijerph191610027] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/23/2022] [Revised: 08/11/2022] [Accepted: 08/12/2022] [Indexed: 05/17/2023]
Abstract
Previous research has focused mainly on the association between working from home (WFH) and physical activity, establishing that physical activity diminished among people WFH during the COVID-19 pandemic. In our study, we investigated the association between WFH and specifically sports participation (competitive and non-competitive). We theorized that WFH would offer individuals additional opportunities to practice sports during the pandemic. Governmental restrictions at the time constrained opportunities to participate in organized sports and in sports with others. We, therefore, expected sports participation during the pandemic to be largely restricted to individual participation and participation at home or in the public space. By means of descriptive analyses and adjusted analyses of variance (n = 1506), we found positive associations between WFH and various aspects of sports participation. Lower-educated individuals, in particular, seem to be benefiting from WFH related to their sports participation in the public space, and economically deprived individuals also seem to be benefiting from WFH in regard to their sports participation at home. Our findings extend the literature on physical activity and sports participation among people who worked from home during the COVID-19 pandemic while offering implications for policies on WFH, sports opportunities in public space and physical activity-friendly environments.
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Affiliation(s)
- Malou Grubben
- Department of Sociology, Radboud University, P.O. Box 9104, 6500 HE Nijmegen, The Netherlands
| | - Sara Wiertsema
- Department of Sociology, Radboud University, P.O. Box 9104, 6500 HE Nijmegen, The Netherlands
| | - Remco Hoekman
- Department of Sociology, Radboud University, P.O. Box 9104, 6500 HE Nijmegen, The Netherlands
- Mulier Institute, P.O. Box 85445, 3508 AK Utrecht, The Netherlands
| | - Gerbert Kraaykamp
- Department of Sociology, Radboud University, P.O. Box 9104, 6500 HE Nijmegen, The Netherlands
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Newsom JT, Denning EC, Elman MR, Botoseneanu A, Allore HG, Nagel CL, Dorr DA, Quiñones AR. Physical Activity as a Mediator Between Race/Ethnicity and Changes in Multimorbidity. J Gerontol B Psychol Sci Soc Sci 2022; 77:1529-1538. [PMID: 34374757 PMCID: PMC9371457 DOI: 10.1093/geronb/gbab148] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2020] [Indexed: 11/15/2022] Open
Abstract
OBJECTIVES Studies report racial/ethnic disparities in multimorbidity (≥2 chronic conditions) and their rate of accumulation over time as well as differences in physical activity. Our study aimed to investigate whether racial/ethnic differences in the accumulation of multimorbidity were mediated by physical activity among middle-aged and older adults. METHOD We assessed racial/ethnic differences in the accumulation of multimorbidity (of 9 conditions) over 12 years (2004-2016) in the Health and Retirement Study (N = 18,264, mean age = 64.4 years). Structural equation modeling was used to estimate latent growth curve models of changes in multimorbidity and investigate whether the relationship of race/ethnicity (non-Hispanic Black, Hispanic, non-Hispanic White participants) to changes in the number of chronic conditions was mediated by physical activity after controlling for age, sex, education, marital status, household wealth, insurance coverage, smoking, alcohol, and body weight. RESULTS There was a significant increase in multimorbidity over time. Initial levels and changes in multimorbidity over time varied significantly across individuals. Indirect effects of the relationship between race/ethnicity and changes in multimorbidity as mediated by physical activity were significant, consistent with the mediational hypothesis. Black respondents engaged in significantly lower levels of physical activity than White respondents after controlling for covariates, but there were no differences between Hispanic and White respondents once education was included. Discussion: These results provide important new information for understanding how modifiable lifestyle factors may help explain disparities in multimorbidity in mid-to-late life, suggesting greater need to intervene to reduce sedentary behavior and increase physical activity.
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Affiliation(s)
- Jason T Newsom
- Address correspondence to: Jason T. Newsom, PhD, Department of Psychology, Portland State University, P.O. Box 751, Portland, OR 97207, USA. E-mail:
| | - Emily C Denning
- Department of Psychology, Portland State University, Oregon, USA
| | - Miriam R Elman
- School of Public Health, Oregon Health & Science University/Portland State University, USA
| | - Anda Botoseneanu
- Department of Health and Human Services and Institute of Gerontology, University of Michigan, Ann Arbor, USA
- Department of Health and Human Services, University of Michigan, Dearborn, USA
| | - Heather G Allore
- Internal Medicine and Department of Biostatistics, Yale University, New Haven, Connecticut, USA
| | - Corey L Nagel
- College of Nursing, University of Arkansas for Medical Sciences, Little Rock, USA
| | - David A Dorr
- Department of Medical Informatics and Clinical Epidemiology, School of Medicine, Oregon Health and Science University, Portland, USA
| | - Ana R Quiñones
- Department of Family Medicine, Oregon Health and Science University, Portland, USA
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Ylitalo KR, Cox W, Lucas R, Smith J, Pettee Gabriel K, Rafalski M, Gill J, Niceler B. Telephone-based support for physical activity: Results and lessons learned during the COVID-19 pandemic. PLoS One 2022; 17:e0268429. [PMID: 35584142 PMCID: PMC9116679 DOI: 10.1371/journal.pone.0268429] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2021] [Accepted: 04/30/2022] [Indexed: 11/24/2022] Open
Abstract
Physical activity is essential to maintain physical and mental well-being. During the COVID-19 pandemic, in-person physical activity opportunities were limited. This paper describes a telephone-based physical activity support strategy among racially/ethnically diverse patients during the COVID-19 pandemic. Adult patients at a large, Federally Qualified Health Center with an on-site exercise facility referral were eligible to transition to telephone support with personal fitness advisors during the pandemic stay-at-home orders. Baseline surveys assessed physical activity and environmental characteristics; follow-up phone calls used motivational interviewing and physical activity goal setting strategies. From March 23-July 23, 2020, 72 patients participated in 270 phone calls, or 3.8 (±2.1) calls per participant. Participants were, on average, aged 51.3 (±11.6) years, 87.5% female, 31.9% Hispanic/Latino, and 47.2% non-Hispanic Black. Patients meeting physical activity guidelines pre-pandemic reported more planned exercise (100.0% vs. 55.3%; p<0.001), exercise days at home (5.0 vs. 1.7; p<0.001), and accomplishment of personal physical activity goals (57.0% vs. 39.7%; p = 0.11) than patients not meeting guidelines pre-pandemic. Patients with a home treadmill participated in twice the rate of calls compared to those without (RR = 2.22; 95%CI:1.35,3.64), but no other home environmental characteristics predicted participation rate. Pre-pandemic physical activity behavior appeared to predict pandemic physical activity and telephone-based physical activity support was effective for maintaining physical activity for some participants. Long term applications of this work will support continuity of clinic-community partnerships for health behavior change and provide a model for patient physical activity support by community health centers without on-site exercise facilities.
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Affiliation(s)
- Kelly R. Ylitalo
- Department of Public Health, Baylor University, Waco, Texas, United States of America
- * E-mail:
| | - Wendy Cox
- Waco Family Medicine, Waco, Texas, United States of America
| | - Raejone Lucas
- Waco Family Medicine, Waco, Texas, United States of America
| | - Jordan Smith
- Department of Public Health, Baylor University, Waco, Texas, United States of America
| | - Kelley Pettee Gabriel
- Department of Epidemiology, The University of Alabama at Birmingham, Birmingham, Alabama, United States of America
| | | | - John Gill
- Waco Family Medicine, Waco, Texas, United States of America
| | - Brock Niceler
- Waco Family Medicine, Waco, Texas, United States of America
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Jayasinghe S, Soward R, Holloway TP, Patterson KAE, Ahuja KDK, Hughes R, Byrne NM, Hills AP. Why some do but too many don't? Barriers and enablers to physical activity in regional Tasmania - an exploratory, mixed-methods study. BMC Public Health 2022; 22:627. [PMID: 35354448 PMCID: PMC8967567 DOI: 10.1186/s12889-022-13001-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2021] [Accepted: 03/08/2022] [Indexed: 11/10/2022] Open
Abstract
Background The interconnectedness of physical inactivity and sedentarism, obesity, non-communicable disease (NCD) prevalence, and socio-economic costs, are well known. There is also strong research evidence regarding the mutuality between well-being outcomes and the neighbourhood environment. However, much of this evidence relates to urban contexts and there is a paucity of evidence in relation to regional communities. A better understanding of available physical activity (PA) infrastructure, its usage, and community perceptions regarding neighbourhood surroundings, could be very important in determining requirements for health improvement in regional communities. The aims of this research were to 1. Explore and evaluate the public’s perception of the PA environment; and 2. Evaluate the quantity, variety, and quality of existing PA infrastructure in regional Northwest (NW) Tasmania. Methods A mixed methods approach guided data collection, analysis, and presentation. Quality of PA infrastructure was assessed using the Physical Activity Resource Assessment (PARA) instrument and public perception about PA environment was evaluated using the International Physical Activity Questionnaire – Environmental (IPAQ-E) module. Quantitative data were analysed using descriptive summative methods and a team-based researcher triangulation approach was utilised for qualitative data. Results Overall, a wide array of high-quality PA infrastructure (with minimal incivilities such as auditory annoyance, litter, graffiti, dog refuse, and vandalism etc.) was available. Survey respondents rated neighbourhoods positively. The overall quality of PA infrastructure, rated on a scale from 0 to 3, was assessed as high (all rated between 2 to 3) with minimal incivilities (rated between 0 and 1.5). Of note, survey respondents confirmed the availability of numerous free-to-access recreational tracks and natural amenities across the 3 local government areas (LGAs) studied. Importantly, most respondents reported minimal disruption to their routine PA practices due to the COVID-19 pandemic. Conclusion This exploratory research confirmed the availability of a wide range of high-quality PA infrastructure across all three LGAs and there was an overwhelming public appreciation of this infrastructure. The challenge remains to implement place-based PA interventions that address extant barriers and further increase public awareness and utilisation of high-quality PA infrastructure. Supplementary Information The online version contains supplementary material available at 10.1186/s12889-022-13001-6.
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Affiliation(s)
- Sisitha Jayasinghe
- College of Health and Medicine, University of Tasmania, Hobart, Tasmania, Australia.
| | - Robert Soward
- College of Health and Medicine, University of Tasmania, Hobart, Tasmania, Australia
| | - Timothy P Holloway
- College of Health and Medicine, University of Tasmania, Hobart, Tasmania, Australia
| | - Kira A E Patterson
- College of Arts, Law and Education, University of Tasmania, Hobart, Tasmania, Australia
| | - Kiran D K Ahuja
- College of Health and Medicine, University of Tasmania, Hobart, Tasmania, Australia
| | - Roger Hughes
- College of Health and Medicine, University of Tasmania, Hobart, Tasmania, Australia
| | - Nuala M Byrne
- College of Health and Medicine, University of Tasmania, Hobart, Tasmania, Australia
| | - Andrew P Hills
- College of Health and Medicine, University of Tasmania, Hobart, Tasmania, Australia
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Soulsby WD, Balmuri N, Cooley V, Gerber LM, Lawson E, Goodman S, Onel K, Mehta B. Social determinants of health influence disease activity and functional disability in Polyarticular Juvenile Idiopathic Arthritis. Pediatr Rheumatol Online J 2022; 20:18. [PMID: 35255941 PMCID: PMC8903717 DOI: 10.1186/s12969-022-00676-9] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/30/2021] [Accepted: 02/07/2022] [Indexed: 11/23/2022] Open
Abstract
BACKGROUND Social determinants of health (SDH) greatly influence outcomes during the first year of treatment in rheumatoid arthritis, a disease similar to polyarticular juvenile idiopathic arthritis (pJIA). We investigated the correlation of community poverty level and other SDH with the persistence of moderate to severe disease activity and functional disability over the first year of treatment in pJIA patients enrolled in the Childhood Arthritis and Rheumatology Research Alliance Registry. METHODS In this cohort study, unadjusted and adjusted generalized linear mixed effects models analyzed the effect of community poverty and other SDH on disease activity, using the clinical Juvenile Arthritis Disease Activity Score-10, and disability, using the Child Health Assessment Questionnaire, measured at baseline, 6, and 12 months. RESULTS One thousand six hundred eighty-four patients were identified. High community poverty (≥20% living below the federal poverty level) was associated with increased odds of functional disability (OR 1.82, 95% CI 1.28-2.60) but was not statistically significant after adjustment (aOR 1.23, 95% CI 0.81-1.86) and was not associated with increased disease activity. Non-white race/ethnicity was associated with higher disease activity (aOR 2.48, 95% CI: 1.41-4.36). Lower self-reported household income was associated with higher disease activity and persistent functional disability. Public insurance (aOR 1.56, 95% CI 1.06-2.29) and low family education (aOR 1.89, 95% CI 1.14-3.12) was associated with persistent functional disability. CONCLUSION High community poverty level was associated with persistent functional disability in unadjusted analysis but not with persistent moderate to high disease activity. Race/ethnicity and other SDH were associated with persistent disease activity and functional disability.
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Affiliation(s)
- William Daniel Soulsby
- University of California, San Francisco, 550 16th Street, 4th Floor, Box #0632, San Francisco, CA, 94158, USA.
| | - Nayimisha Balmuri
- Hospital for Special Surgery, New York, NY, USA
- Weill Cornell Medicine, New York, NY, USA
| | | | | | - Erica Lawson
- University of California, San Francisco, 550 16th Street, 4th Floor, Box #0632, San Francisco, CA, 94158, USA
| | - Susan Goodman
- Hospital for Special Surgery, New York, NY, USA
- Weill Cornell Medicine, New York, NY, USA
| | - Karen Onel
- Hospital for Special Surgery, New York, NY, USA
- Weill Cornell Medicine, New York, NY, USA
| | - Bella Mehta
- Hospital for Special Surgery, New York, NY, USA
- Weill Cornell Medicine, New York, NY, USA
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The Places–People Exercise: Understanding Spatial Patterns and the Formation Mechanism for Urban Commercial Fitness Space in Changchun City, China. SUSTAINABILITY 2022. [DOI: 10.3390/su14031358] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/01/2023]
Abstract
The fitness industry is rapidly developing due to the demand for fitness activities, and a large number of commercial fitness spaces have emerged in Changchun city. The distribution of commercial fitness spaces in the city is not chaotic; different types of fitness spaces should have different spaces to choose from. The purpose of this article is to summarize the spatial distribution characteristics and laws of urban commercial fitness spaces, to help better develop commercial fitness spaces. Using Changchun (a central city in northeastern China) as an example, the article divides commercial fitness spaces into five categories. Then, GIS tools are used to analyze the distribution patterns, level distributions, and agglomeration characteristics of commercial fitness spaces. The city’s commercial fitness space distribution patterns are subjected to further study, along with the influencing factors and forming mechanisms of the pattern. Moreover, based on the research results, this study provides targeted suggestions for the development of fitness spaces. The study found that the commercial fitness space in Changchun city has formed a multi-core spatial pattern. Various types of fitness spaces show significant spatial differentiation in many aspects, such as “center-periphery” characteristics, the spatial distribution form, and the specialized characteristics of each block unit. Fitness needs, national policies, transportation accessibility, spatial agglomeration, land rent, urban population distribution, etc., are the main factors affecting the spatial distributions of fitness spaces.
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36
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Jayasinghe S, Flies EJ, Soward R, Kendal D, Kilpatrick M, Holloway TP, Patterson KAE, Ahuja KDK, Hughes R, Byrne NM, Hills AP. A Spatial Analysis of Access to Physical Activity Infrastructure and Healthy Food in Regional Tasmania. Front Public Health 2021; 9:773609. [PMID: 34926390 PMCID: PMC8671161 DOI: 10.3389/fpubh.2021.773609] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2021] [Accepted: 11/02/2021] [Indexed: 11/13/2022] Open
Abstract
Prevalence of physical inactivity and obesity continues to increase in regional areas such as North-West (NW) Tasmania and show no signs of abating. It is possible that limited access to physical activity infrastructure (PAI) and healthier food options are exacerbating the low levels of habitual physical activity and obesity prevalence in these communities. Despite a burgeoning research base, concomitant exploration of both physical activity and food environments in rural and regional areas remain scarce. This research evaluated access (i.e., coverage, variety, density, and proximity) to physical activity resources and food outlets in relation to socioeconomic status (SES) in three NW Tasmanian communities. In all three study areas, the PAI and food outlets were largely concentrated in the main urban areas with most recreational tracks and natural amenities located along the coastline or river areas. Circular Head had the lowest total number of PAI (n = 43) but a greater proportion (30%) of free-to-access outdoor amenities. There was marked variation in accessibility to infrastructure across different areas of disadvantage within and between sites. For a considerable proportion of the population, free-to-access natural amenities/green spaces and recreational tracks (73 and 57%, respectively) were beyond 800 m from their households. In relation to food accessibility, only a small proportion of the food outlets across the region sells predominantly healthy (i.e., Tier 1) foods (~6, 13, and 10% in Burnie, Circular Head and Devonport, respectively). Similarly, only a small proportion of the residents are within a reasonable walking distance (i.e., 5–10 min walk) from outlets. In contrast, a much larger proportion of residents lived close to food outlets selling predominantly energy-dense, highly processed food (i.e., Tier 2 outlets). Circular Head had at least twice as many Tier 1 food stores per capita than Devonport and Burnie (0.23 vs. 0.10 and 0.06; respectively) despite recording the highest average distance (4.35 and 5.66 km to Tier 2/Tier 1 stores) to a food outlet. As such, it is possible that both food and physical activity environment layouts in each site are contributing to the obesogenic nature of each community.
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Affiliation(s)
- Sisitha Jayasinghe
- College of Health and Medicine, University of Tasmania, Hobart, TAS, Australia
| | - Emily J Flies
- School of Natural Sciences, University of Tasmania, Hobart, TAS, Australia.,Healthy Landscapes Research Group, University of Tasmania, Hobart, TAS, Australia
| | - Robert Soward
- College of Health and Medicine, University of Tasmania, Hobart, TAS, Australia
| | - Dave Kendal
- Healthy Landscapes Research Group, University of Tasmania, Hobart, TAS, Australia.,School of Geography, Planning and Spatial Sciences, University of Tasmania, Hobart, TAS, Australia
| | - Michelle Kilpatrick
- College of Health and Medicine, University of Tasmania, Hobart, TAS, Australia
| | - Timothy P Holloway
- College of Health and Medicine, University of Tasmania, Hobart, TAS, Australia
| | - Kira A E Patterson
- College of Health and Medicine, University of Tasmania, Hobart, TAS, Australia
| | - Kiran D K Ahuja
- College of Health and Medicine, University of Tasmania, Hobart, TAS, Australia
| | - Roger Hughes
- College of Health and Medicine, University of Tasmania, Hobart, TAS, Australia
| | - Nuala M Byrne
- College of Health and Medicine, University of Tasmania, Hobart, TAS, Australia
| | - Andrew P Hills
- College of Health and Medicine, University of Tasmania, Hobart, TAS, Australia
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Characteristics of healthy German children and adolescents across tertiles of calcaneal stiffness index. J Public Health (Oxf) 2021. [DOI: 10.1007/s10389-021-01682-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022] Open
Abstract
Abstract
Aim
Identifying risk factors for low bone stiffness index (SI) might be one crucial strategy for osteoporosis prevention. Purpose was to characterize healthy schoolchildren across tertiles of SI.
Subject and methods
In 248 girls (13.4 ± 1.9 years, BMI: 20.2 ± 4.8 kg/m2) and 231 boys (13.6 ± 1.7 years, BMI: 19.3 ± 3.3 kg/m2), the following parameters were assessed: calcaneal SI (quantitative ultrasound), body composition (bioelectrical impedance analysis), Bone Healthy Eating Index (BoneHEI; food frequency questionnaire), and physical activity level (PAL; activity questionnaire). Participants were classified according to age- and sex-specific SI tertiles (low, medium, and high). Between-group comparisons were achieved by Kruskal–Wallis-H-tests (α = 0.05).
Results
Girls with low SI had significantly lower body mass (49.2 ± 16.7 vs 54.8 ± 12.2 kg; p < 0.01), BMI (19.6 ± 5.4 vs 21.3 ± 3.9 kg/m2; p < 0.0001), fat-free mass (36.3 ± 8.3 vs 39.5 ± 6.0 kg; p < 0.01), and fat mass (23.7 ± 9.1 vs 26.8 ± 7.2%; p < 0.05) compared to those with high SI. In boys, significant differences between low and high SI were obtained for PAL (1.49 ± 0.12 vs 1.56 ± 0.14; p < 0.01). BoneHEI was not significantly different between tertiles in both sexes.
Conclusion
Girls with low body mass and boys with low PAL have a higher risk for low SI. Schoolchildren should strive for normal body mass and perform regular physical activity.
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Reche E, König HH, Hajek A. The Relationship between Income and Morbidity-Longitudinal Findings from the German Ageing Survey. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2021; 18:ijerph182312365. [PMID: 34886092 PMCID: PMC8656553 DOI: 10.3390/ijerph182312365] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 10/15/2021] [Revised: 11/14/2021] [Accepted: 11/22/2021] [Indexed: 11/24/2022]
Abstract
It is often assumed that higher income contributes to physical health. Indeed, there is a huge amount of research showing a strong significant association between income and health. However, very few studies have used longitudinal data and an objective variable for health, such as morbidity. Therefore, this study aims to examine the association between the income and morbidity of individuals over time. Data from a total of four waves (year 2008 to year 2017) of the nationally representative German Ageing Survey was analyzed by linear fixed-effects regressions. The used equivalized income was based on the respondents’ monthly net household income. To obtain a comprehensive picture of the dependent variable morbidity, self-reported diseases, current symptoms, and physician-diagnosed diseases were examined. The analyses showed no significant association between percentage changes in income and morbidity in the total sample. Even after considering selected socioeconomic groups in further subgroup analyses, there was no significant within-person association found over time. In summary, the unexpected results of this study suggest that the previously assumed link between income and health in Germany may be called into question. Further research based on longitudinal studies is, therefore, required.
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Kroshus E, Qu P, Chrisman S, Herring S, Rivara F. Socioeconomic status and parent perceptions about the costs and benefits of youth sport. PLoS One 2021; 16:e0258885. [PMID: 34758038 PMCID: PMC8580224 DOI: 10.1371/journal.pone.0258885] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2020] [Accepted: 10/07/2021] [Indexed: 12/28/2022] Open
Abstract
Objectives Describe what costs and benefits parents across the socioeconomic spectrum weight most heavily when making decisions about sport participation for their children. Method Cross-sectional survey of a nationally representative online panel of parents of children between the ages of 5 and 18 (n = 1025, 52% response rate). Parents rated the importance of a series of potential costs and benefits of youth sport and these responses were compared across tertiles of per capita family income. We first examined the association between family income tertiles and cost and benefit variables. Model-based cluster analysis was then used to identity homogeneous groups of responses to costs and benefits. Results In all income tertiles, the top two benefits of sport were the same: having fun and being physically active. Sport as a means of keeping children out of trouble was very important for 64% of low-income parents as compared to 40% of high-income parents. Obtaining a college athletic scholarship was very important for 26% of low-income parents, as compared to 8% of high-income parents. Relative rankings of potential costs were similar by income tertile, with risk of concussion and other injury and the impact of sport on schoolwork prioritized across tertiles. Conclusions Parents prioritized fun and fitness in sport, and were concerned about injury and the impact of sport on academics. Lower income parents were the most likely to view keeping their child out of trouble, and the potential for a college athletics scholarship, as benefits of sport. Efforts to support parental decision making should be grounded in an understanding that family preferences are contextually constrained. While all parents should be appropriately informed about the potential costs and benefits they are weighting in their sports-related decision making, such family-focused efforts should be balanced with the recognition that structural change is needed to address income-related concerns about sport participation.
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Affiliation(s)
- Emily Kroshus
- Seattle Children’s Research Institute, Center for Child Health, Behavior and Development, Seattle, WA, United States of America
- Department of Pediatrics, University of Washington, Seattle, WA, United States of America
- Harborview Injury Prevention and Research Center, Seattle, WA, United States of America
- * E-mail:
| | - Pingping Qu
- Seattle Children’s Research Institute, Center for Child Health, Behavior and Development, Seattle, WA, United States of America
| | - Sara Chrisman
- Seattle Children’s Research Institute, Center for Child Health, Behavior and Development, Seattle, WA, United States of America
- Harborview Injury Prevention and Research Center, Seattle, WA, United States of America
- Division of Adolescent Medicine, University of Washington, Seattle, WA, United States of America
| | - Stanley Herring
- Department of Rehabilitation Medicine, University of Washington, Seattle, WA, United States of America
| | - Frederick Rivara
- Seattle Children’s Research Institute, Center for Child Health, Behavior and Development, Seattle, WA, United States of America
- Department of Pediatrics, University of Washington, Seattle, WA, United States of America
- Harborview Injury Prevention and Research Center, Seattle, WA, United States of America
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Devereux-Fitzgerald A, Powell R, French DP. The Acceptability of Physical Activity to Older Adults Living in Lower Socioeconomic Status Areas: A Multi-Perspective Study. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2021; 18:ijerph182211784. [PMID: 34831546 PMCID: PMC8619977 DOI: 10.3390/ijerph182211784] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/30/2021] [Revised: 10/30/2021] [Accepted: 11/01/2021] [Indexed: 12/20/2022]
Abstract
Older adults in lower socioeconomic status (SES) areas are the least active of all adult groups but are often absent from physical activity research. The present study aimed to elicit perspectives on acceptability of physical activity from older adults and physical activity providers in lower SES areas. Semi-structured interviews were conducted with 19 older adults and eight physical activity trainers/providers in lower SES areas. An inductive, multi-perspective Thematic Analysis was conducted. Eight themes were identified that covered one or both groups’ perceptions of what was important in ensuring acceptability of activity provision. Older adults perceived a lack of value that was reinforced by lack of resources and unequal provision. Acceptability was hindered by centralisation of facilities and lack of understanding of needs by facility management. Facilitating social interaction within physical activities appeared key, thereby meeting multiple needs with fewer resources. In conclusion, to increase acceptability of physical activity for older adults in low SES areas, providers should address the lack of perceived value felt by many older adults. Equitable provision of physical activities addressing multiple needs may allow older adults with limited resources to be physically active without sacrificing other needs. Facilitating creation of social bonds may foster maintenance of physical activities.
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Affiliation(s)
- Angela Devereux-Fitzgerald
- Division of Nursing, Midwifery and Social Work, School of Health Sciences, University of Manchester, Manchester M13 9PL, UK
- Correspondence:
| | - Rachael Powell
- Manchester Centre for Health Psychology, Division of Psychology & Mental Health, School of Health Sciences, University of Manchester, Manchester M13 9PL, UK; (R.P.); (D.P.F.)
| | - David P. French
- Manchester Centre for Health Psychology, Division of Psychology & Mental Health, School of Health Sciences, University of Manchester, Manchester M13 9PL, UK; (R.P.); (D.P.F.)
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Andrews MR, Ceasar J, Tamura K, Langerman SD, Mitchell VM, Collins BS, Baumer Y, Gutierrez Huerta CA, Dey AK, Playford MP, Mehta NN, Powell-Wiley TM. Neighborhood environment perceptions associate with depression levels and cardiovascular risk among middle-aged and older adults: Data from the Washington, DC cardiovascular health and needs assessment. Aging Ment Health 2021; 25:2078-2089. [PMID: 32691611 PMCID: PMC7855489 DOI: 10.1080/13607863.2020.1793898] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
OBJECTIVES Little is understood about associations between neighborhood characteristics and depression, a cardiovascular disease (CVD) risk factor, in diverse populations. We examined relationships between perceived/objective neighborhood characteristics, depression, and CVD markers within the Washington, DC CV Health/Needs Assessment, an evaluation among predominantly African-American (AA) adults in resource-limited DC communities. METHOD Factor analysis of overall neighborhood environment perception (NEP) identified three NEP sub-scores:1) violence; 2) physical/social environment; 3) social cohesion (higher score = more favorable perception). Objective neighborhood characteristics were measured by geospatially-derived scores of walkability, transportation, and crime. Depression was defined by the revised Center for Epidemiologic Studies Depression Scale (CESD-R). We used linear-regression modeling to examine neighborhood measures and CESD-R associations. To investigate a subsequent connection with CVD risk, we examined relationships between CESD-R and CVD-associated cytokines in a population subset. RESULTS Participants (N = 99; mean age = 59.06; 99% AA) had a mean CESD-R score = 5.8(SD = 8.88). In adjusted models, CESD-R scores decreased by 0.20 units (p = 0.01) for every overall NEP unit-increase. Perceived physical/social environment (β = -0.34, p = 0.04) and social cohesion (β = -0.82, p = 0.01) were related to CESD-R while perceived violence was not (β = -0.28, p = 0.1). Of objective neighborhood environment measures (i.e. walk, transit, bike, personal crime, and property crime scores), only property crime score was associated with depression (β = 4.99, p < 0.03). In population subset (n = 42), higher CESD-R associated with higher IL-1β (β = 21.25, p < 0.01) and IL-18 (β = 0.006, p = 0.01). CONCLUSION Favorable neighborhood perceptions are related to lower depressive symptoms in a predominantly AA cohort from Washington, DC resource-limited communities. Neighborhood perceptions appear to be strongly associated with depressive symptoms compared to objective characteristics. Increasing CESD-R scores were related to higher pro-inflammatory markers. Improving neighborhood perceptions may be beneficial to psychological well-being and CV health for urban minority residents.
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Affiliation(s)
- Marcus R. Andrews
- Social Determinants of Obesity and Cardiovascular Risk Laboratory, Cardiovascular Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | - Joniqua Ceasar
- Social Determinants of Obesity and Cardiovascular Risk Laboratory, Cardiovascular Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | - Kosuke Tamura
- Social Determinants of Obesity and Cardiovascular Risk Laboratory, Cardiovascular Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | - Steven D. Langerman
- Social Determinants of Obesity and Cardiovascular Risk Laboratory, Cardiovascular Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | - Valerie M. Mitchell
- Social Determinants of Obesity and Cardiovascular Risk Laboratory, Cardiovascular Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | - Billy S. Collins
- Social Determinants of Obesity and Cardiovascular Risk Laboratory, Cardiovascular Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | - Yvonne Baumer
- Social Determinants of Obesity and Cardiovascular Risk Laboratory, Cardiovascular Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | - Cristhian A. Gutierrez Huerta
- Social Determinants of Obesity and Cardiovascular Risk Laboratory, Cardiovascular Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | - Amit K. Dey
- Section of Inflammation and Cardiometabolic Diseases, National Heart, Lung, and Blood Institute (NHLBI), National Institutes of Health, Bethesda, MD, USA
| | - Martin P. Playford
- Section of Inflammation and Cardiometabolic Diseases, National Heart, Lung, and Blood Institute (NHLBI), National Institutes of Health, Bethesda, MD, USA
| | - Nehal N. Mehta
- Section of Inflammation and Cardiometabolic Diseases, National Heart, Lung, and Blood Institute (NHLBI), National Institutes of Health, Bethesda, MD, USA
| | - Tiffany M. Powell-Wiley
- Social Determinants of Obesity and Cardiovascular Risk Laboratory, Cardiovascular Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA;,Intramural Research Program, National Institute on Minority Health and Health Disparities, National Institutes of Health, Bethesda, MD, USA
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Hopkins LC, Sharn AR, Remley D, Schier H, Olak R, Drakeford D, Pannell C, Gunther C. Caregiver Perceptions of Environmental Facilitators and Barriers to Healthy Eating and Active Living during the Summer: Results from the Project SWEAT Sub-Study. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2021; 18:ijerph182111396. [PMID: 34769918 PMCID: PMC8583590 DOI: 10.3390/ijerph182111396] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/25/2021] [Revised: 10/22/2021] [Accepted: 10/25/2021] [Indexed: 11/21/2022]
Abstract
Objective: The aim of this study was to examine caregiver perceptions of summertime neighborhood-level environmental barriers and facilitators to healthy eating and active living in their elementary-age racial minority children. Methods: Caregivers with students in the prekindergarten–fifth grade were recruited from two schools located in low-income urban neighborhoods of Columbus, OH, with a predominantly Black population. Participants engaged in the research portion of the Healthy Eating Active Living: Mapping Attribute using Participatory Photographic Surveys (HEALth MAPPSTM) protocol, which included (1) orientation; (2) photographing and geotagging facilitators and barriers to HEALth on daily routes; (3) in-depth interview (IDI) discussing images and routes taken; (4) focus groups (FG). IDIs and FGs were transcribed verbatim. Analyses were guided by grounded theory and interpretive phenomenology and were coded by researchers (n = 3), who used comparative analysis to develop a codebook and determine major themes. Results: A total of 10 caregivers enrolled and 9 completed the IDIs. Five caregivers participated in focus groups. A majority (77.8%, n = 7) of caregivers identified as Black, female (88.9%, n = 8), and low income (55.6%, n = 5). IDI and FG themes included (1) walkway infrastructure crucial for healthy eating and active living; (2) scarce accessibility to healthy, affordable foods; (3) multiple abandoned properties; (4) unsafe activity near common neighborhood routes. Conclusions: Caregivers perceived multiple neighborhood-level barriers to healthy eating and activity during the summer months when school is closed. Findings from this study provide initial insights into environmental determinants of unhealthy summer weight gain in a sample of predominantly racial minority school-age children from low-income households.
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Affiliation(s)
- Laura C. Hopkins
- Department of Public Health and Prevention Sciences, College of Education and Health Sciences, Baldwin Wallace University, 328D Malicky Center, 275 Eastland Road, Berea, OH 44017, USA; (L.C.H.); (R.O.); (D.D.)
| | - Amy R. Sharn
- Department of Human Sciences, The Ohio State University, Human Nutrition Program, Campbell Hall, 1787 Neil Avenue, Columbus, OH 43210, USA; (A.R.S.); (H.S.); (C.P.)
| | - Daniel Remley
- Family and Consumer Sciences, The Ohio State University, OSU Extension, 1864 Shyville Road, Piketon, OH 45661, USA;
| | - Heather Schier
- Department of Human Sciences, The Ohio State University, Human Nutrition Program, Campbell Hall, 1787 Neil Avenue, Columbus, OH 43210, USA; (A.R.S.); (H.S.); (C.P.)
| | - Regan Olak
- Department of Public Health and Prevention Sciences, College of Education and Health Sciences, Baldwin Wallace University, 328D Malicky Center, 275 Eastland Road, Berea, OH 44017, USA; (L.C.H.); (R.O.); (D.D.)
| | - Dorsena Drakeford
- Department of Public Health and Prevention Sciences, College of Education and Health Sciences, Baldwin Wallace University, 328D Malicky Center, 275 Eastland Road, Berea, OH 44017, USA; (L.C.H.); (R.O.); (D.D.)
| | - Cara Pannell
- Department of Human Sciences, The Ohio State University, Human Nutrition Program, Campbell Hall, 1787 Neil Avenue, Columbus, OH 43210, USA; (A.R.S.); (H.S.); (C.P.)
| | - Carolyn Gunther
- Department of Human Sciences, The Ohio State University, Human Nutrition Program, Campbell Hall, 1787 Neil Avenue, Columbus, OH 43210, USA; (A.R.S.); (H.S.); (C.P.)
- Correspondence: ; Tel.: 614-292-5125
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Pinto L, Ferreira CSS, Pereira P. Environmental and socioeconomic factors influencing the use of urban green spaces in Coimbra (Portugal). THE SCIENCE OF THE TOTAL ENVIRONMENT 2021; 792:148293. [PMID: 34147815 DOI: 10.1016/j.scitotenv.2021.148293] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/22/2021] [Revised: 05/31/2021] [Accepted: 06/01/2021] [Indexed: 05/28/2023]
Abstract
Urban green spaces (UGS) deliver a wide range of regulating, provisioning and cultural ecosystem services (CES), relevant to support the achievement of some United Nations Sustainable Development Goals (e.g., Goal 11: sustainable cities and communities, and Goal 3: good health and well-being). However, knowledge of preferences and uses of UGS by urban dwellers is still lacking. This study assesses the CES perceived by different users in five distinct urban parks located in Coimbra, Portugal: Manuel Braga (secular park), Botanical garden, Choupal national forest, Mondego green park (large area placed next to the river), and Vale das Flores (linear park located in a residential area). A questionnaire survey was performed in each park to investigate the activities performed and their relevance for the users, users' motivations to develop the activities on that specific UGS, the perceived benefits regarding physical and emotional well-being and social interactions, and users' perception about disservices. The results showed that walking, meeting people, practicing and doing activities with children are the activities performed by most users and are perceived as beneficial for physical and emotional well-being. Multifunctionality is a characteristic of all parks and highly appreciated by the users. Significant differences in socio-demographic characteristics of the users and motivations are recorded between parks. The tranquillity of space and landscape beauty are the main motivations to use Manuel Braga Park and the Botanical garden. Distance to the park and transportation means are particularly important for Botanical garden and Vale das Flores park users. Age group and average monthly income were associated in both Choupal national forest, Mondego green park and Vale das Flores park, denoting that older and wealthier users are more able to enjoy these parks. Users' problems or ecosystem disservices were not identified, although plagues (e.g., mosquitoes) and dangerous animals recorded average concerns in the Choupal national forest and in the Vale das Flores and Mondego green parks. This work's findings can help decision-makers better understand users' needs and expectations, thus improving UGS design and management to attract more citizens.
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Affiliation(s)
- Luis Pinto
- Research Centre for Natural Resources, Environment and Society (CERNAS), Polytechnic Institute of Coimbra, Coimbra Agrarian Technical School, Coimbra, Portugal; Environmental Management Laboratory, Mykolas Romeris University, Vilnius, Lithuania
| | - Carla S S Ferreira
- Department of Physical Geography and Bolin Centre for Climate Research, Stockholm University, SE-10691 Stockholm, Sweden; Navarino Environmental Observatory, 24001 Messinia, Greece; Research Centre for Natural Resources, Environment and Society (CERNAS), Polytechnic Institute of Coimbra, Coimbra Agrarian Technical School, Coimbra, Portugal.
| | - Paulo Pereira
- Environmental Management Laboratory, Mykolas Romeris University, Vilnius, Lithuania
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Maternal Perceptions of Physical Activity Spaces for Children in Texas Border colonias. HISPANIC JOURNAL OF BEHAVIORAL SCIENCES 2021. [DOI: 10.1177/07399863211044887] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
This study examined differences in mother-reported physical activity (PA) and screen time (ST) based on child sex and mothers’ perceptions of PA resources for Mexican-heritage (MH) children residing in Texas-Mexico border colonias. Mothers with children 8 to 10 years old ( n = 335) from colonias in south Texas reported if there were places for their child to be physically active and their child’s hours of PA and ST per day during the week and weekend. Two-way ANCOVAs examined differences in child PA and ST based on presence of PA places and child sex. Only 46.0% of mothers ( n = 159) reported places for their child to be physically active; with no significant difference based on sex. Mothers’ perceptions of a place to play was differentially beneficial for girls’ weekday PA and ST. Findings suggest a need to increase perceived and/or actual access to PA places in colonias communities, particularly for girls.
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45
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Liu S, Yang G, Wu Z, Mao F, Qu Z, Ge Y, Chang J. Studying the distribution patterns, dynamics and influencing factors of city functional components by gradient analysis. Sci Rep 2021; 11:17802. [PMID: 34493745 PMCID: PMC8423789 DOI: 10.1038/s41598-021-97208-4] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2021] [Accepted: 08/23/2021] [Indexed: 12/02/2022] Open
Abstract
Understanding the spatial distribution characteristics and formation mechanism of urban facilities (city functional components) constitutes the basis of urban layout optimization. Currently, research on the overall distribution of the various types of city functional components is lacking. In this study, by applying the gradient analysis method common in ecology, we considered 13 types of city functional components (80,214 individuals in total) in large, medium and small Chinese cities (9 cities in total) to carry out quantitative analysis of the distribution of components along urban–rural gradients through density distribution curves. The results indicated that: (1) a higher density of city functional components near the city centre revealed an obvious aggregated distribution; (2) the spatial distribution dynamics of city functional components were related to the city size, providing a reference for the rational distribution of components in cities of different sizes; (3) the distribution of city functional components was affected by their ecosystem services. This study offers a new perspective for the application of ecological methods in the examination of the distribution of city functional components.
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Affiliation(s)
- Shun Liu
- College of Life Sciences, Zhejiang University, Hangzhou, 310058, China
| | - Guofu Yang
- College of Life Sciences, Zhejiang University, Hangzhou, 310058, China
| | - Zhaoping Wu
- College of Life Sciences, Zhejiang University, Hangzhou, 310058, China
| | - Feng Mao
- School of Earth and Environmental Sciences, Cardiff University, Cardiff, CF10 3AT, UK
| | - Zelong Qu
- College of Life Sciences, Zhejiang University, Hangzhou, 310058, China
| | - Ying Ge
- College of Life Sciences, Zhejiang University, Hangzhou, 310058, China
| | - Jie Chang
- College of Life Sciences, Zhejiang University, Hangzhou, 310058, China.
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Gür M. Post-pandemic lifestyle changes and their interaction with resident behavior in housing and neighborhoods: Bursa, Turkey. JOURNAL OF HOUSING AND THE BUILT ENVIRONMENT : HBE 2021; 37:823-862. [PMID: 34512216 PMCID: PMC8418294 DOI: 10.1007/s10901-021-09897-y] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 02/22/2021] [Accepted: 08/27/2021] [Indexed: 06/13/2023]
Abstract
COVID-19 pandemic has re-raised questions about healthy housing and residential environments. The aim of this study is to examine lifestyle changes during the pandemic and their reflections in the use of housing. The study also compares households on different socioeconomic levels in Bursa, the study area. Bursa is a Turkish metropolis that was affected by the spread of COVID-19. Data were collected from 500 residents of 30 neighborhoods in the city's three most populous districts, Osmangazi, Nilüfer and Yildirim. The participants were selected using stratified sampling and interviewed face-to-face using questionnaires. Reliability analysis, frequency distributions, descriptive statistics, ANOVA and the chi-squared test were used to evaluate the data. The results indicate that the participants' hygiene habits, shopping behaviors, transportation habits and frequency of their contact with neighbors and friends have changed. Most of the participants live in apartments, and they need flexible designs that can be used for different purposes. They need toilets and ventilation spaces at the entrances of their homes. The use of balconies has increased. During the pandemic, the use of urban green spaces decreased in general, and the use of open areas around homes increased. High-income residents have advantages in terms of lifestyle, housing and residential environments, so their awareness about and observance of pandemic rules were higher. Lifestyles, housing, residential environments and urban opportunities differ as a result of socioeconomic segregation, and lower-income residents are more vulnerable to disease. Future studies should consider potential risks to humanity in order to address the housing-related problems of disadvantaged groups.
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Affiliation(s)
- Miray Gür
- Department of Architecture, Bursa Uludağ University, Görükle Campus 16059, Nilüfer, Bursa, Turkey
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47
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Linke SE, Kallenberg GR, Kronick R, Tai-Seale M, De-Guzman K, Rabin B. Integrating "Exercise Is Medicine" into primary care workflow: a study protocol. Transl Behav Med 2021; 11:921-929. [PMID: 32945881 DOI: 10.1093/tbm/ibaa088] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
As a major contributor to the burden of most chronic diseases, insufficient physical activity (PA) creates a significant financial burden on the health care system. Numerous interventions effectively increase PA, but few are integrated into primary care clinic workflows. Exercise Is Medicine (EIM) is a global health initiative committed to the belief that PA is integral to the prevention and treatment of diseases and should be routinely assessed as a vital sign and treated in the health care setting. This paper describes an in-progress embedded quality improvement (QI) project that integrates EIM into routine clinical practice. A combination of implementation science (IS) and QI models are used to adapt, implement, and evaluate the integration of EIM into six primary care clinics. The Practical, Robust Implementation and Sustainability Model (PRISM) guided preimplementation evaluation and adaptation of EIM protocol, materials, and delivery strategies. The learning evaluation QI model is used to design, test, refine, and implement EIM using rapid, 3 month Plan-Do-Study-Act microcycles. Learning meetings are used to obtain feedback and optimize workflow. The Stirman Framework is used to document adaptations to the program throughout implementation. Reach, adoption, implementation, effectiveness, and maintenance outcomes embedded within PRISM will guide the program evaluation to determine sustainability and scalability. Using an innovative approach of combining IS and QI methods to improve the identification of primary care patients with insufficient PA to increase their activity levels has great population health potential. Our work will inform the best approaches for EIM integration in primary care.
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Affiliation(s)
- Sarah E Linke
- Department of Family Medicine and Public Health, UC San Diego, La Jolla, CA, USA
| | | | - Rick Kronick
- Department of Family Medicine and Public Health, UC San Diego, La Jolla, CA, USA
| | - Ming Tai-Seale
- Department of Family Medicine and Public Health, UC San Diego, La Jolla, CA, USA
| | - Kimberly De-Guzman
- Department of Family Medicine and Public Health, UC San Diego, La Jolla, CA, USA
| | - Borsika Rabin
- Department of Family Medicine and Public Health, UC San Diego, La Jolla, CA, USA
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Schmidt T, Pawlowski CS, Kerr J, Schipperijn J. Investigating the WHAT and WHY on older adults' use of neighborhood open spaces following an environmental intervention. Transl Behav Med 2021; 11:582-596. [PMID: 32044982 DOI: 10.1093/tbm/ibaa004] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
Abstract
Using neighborhood open spaces (NOS) may be an easy way for older adults to maintain healthy aging through physical activity and social interaction. Little is known about older adults' use of NOS, their preferences, and barriers to using them. This paper presents older adults' use of NOS in a deprived neighborhood before and after an intervention and factors promoting or inhibiting their use using convergent mixed methods design. Participatory research was employed involving older adults in the intervention. The System for Observing Play and Recreation in Communities was used to observe older adults' use of 13 NOS in spring 2017 (baseline) and spring 2018 (follow-up). Ten interviews were conducted in 2018 to identify barriers and facilitators for using NOS. Two NOS had a pavilion built and, in one NOS, benches were renovated, including building raised flower beds and small tables. At baseline, 209 older adults were observed, whereas 329 were observed at follow-up. More (44%) older adults were observed at follow-up in the NOS with the renovated benches. No use of the two pavilions was observed. The interviews identified six factors important for older adults' use of NOS: weather, support for social caretakers, support for resourceful volunteers, organized activities, social interaction, and sense of ownership. Organizational resources, such as social caretakers and volunteers, are important to promote older adults' use of NOS. Social interaction is a key factor for older adults' use of NOS and should be prioritized by health promoters.
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Affiliation(s)
- Tanja Schmidt
- Research Unit for Active Living, Department of Sports Science and Clinical Biomechanics, University of Southern Denmark, Campusvej 55, 5230 Odense M, Denmark
| | - Charlotte Skau Pawlowski
- Research Unit for Active Living, Department of Sports Science and Clinical Biomechanics, University of Southern Denmark, Campusvej 55, 5230 Odense M, Denmark
| | - Jacqueline Kerr
- Department of Family Medicine and Public Health, University of California, San Diego, 9500 Gilman Dr, La Jolla, CA, USA
| | - Jasper Schipperijn
- Research Unit for Active Living, Department of Sports Science and Clinical Biomechanics, University of Southern Denmark, Campusvej 55, 5230 Odense M, Denmark
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Reina-Gutiérrez S, Martínez-Vizcaíno V, Torres-Costoso A, Núñez de Arenas-Arroyo S, Saz-Lara A, Sánchez-López M. Maternal Education and Academic Achievement in Schoolchildren: The Role of Cardiorespiratory Fitness. J Pediatr 2021; 232:109-117.e1. [PMID: 33515556 DOI: 10.1016/j.jpeds.2021.01.047] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/07/2020] [Revised: 01/16/2021] [Accepted: 01/21/2021] [Indexed: 11/28/2022]
Abstract
OBJECTIVES To examine the relationship between maternal education, cardiorespiratory fitness, and academic achievement in schoolchildren, specifically whether the association between maternal education and academic achievement is mediated by cardiorespiratory fitness. STUDY DESIGN This is a secondary analysis of a cross-sectional study including 478 Spanish schoolchildren aged 8-11 years. ANOVA was used to test differences in cardiorespiratory fitness by maternal education level. ANCOVA was used to test the differences in academic achievement by the educational level of mothers and the cardiorespiratory fitness of children, controlling for each other. A mediation analysis was used to test if the relationship between maternal education and academic achievement was explained by cardiorespiratory fitness. RESULTS A higher level of maternal education was associated with a higher cardiorespiratory fitness level and academic achievement in children; moreover, the cardiorespiratory fitness level in children was associated with better academic achievement (P < .05). Finally, cardiorespiratory fitness acted as a partial mediator of the relationship between maternal education and academic achievement in boys (z = 1.81; P = .03) but not in girls (z = 0.86; P = .19), explaining 6.54% of this relationship for the total sample and 6.67% for boys. CONCLUSIONS This study suggests that the benefits of maternal education on academic achievement are partially explained by the mediating role of cardiorespiratory fitness.
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Affiliation(s)
- Sara Reina-Gutiérrez
- Health and Social Research Center, University of Castilla-La Mancha, Cuenca, Spain
| | - Vicente Martínez-Vizcaíno
- Health and Social Research Center, University of Castilla-La Mancha, Cuenca, Spain; Faculty of Health Sciences, Autonomous University of Chile, Talca, Chile
| | - Ana Torres-Costoso
- Faculty of Physiotherapy and Nursing, University of Castilla-La Mancha, Toledo, Spain.
| | | | - Alicia Saz-Lara
- Health and Social Research Center, University of Castilla-La Mancha, Cuenca, Spain
| | - Mairena Sánchez-López
- Health and Social Research Center, University of Castilla-La Mancha, Cuenca, Spain; Faculty of Education, University of Castilla-La Mancha, Ciudad Real, Spain
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50
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Mazumdar S, Chong S, Astell-Burt T, Feng X, Morgan G, Jalaludin B. Which Green Space Metric Best Predicts a Lowered Odds of Type 2 Diabetes? INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2021; 18:4088. [PMID: 33924462 PMCID: PMC8068830 DOI: 10.3390/ijerph18084088] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/10/2021] [Revised: 04/07/2021] [Accepted: 04/09/2021] [Indexed: 11/16/2022]
Abstract
The choice of a green space metric may affect what relationship is found with health outcomes. In this research, we investigated the relationship between percent green space area, a novel metric developed by us (based on the average contiguous green space area a spatial buffer has contact with), in three different types of buffers and type 2 diabetes (T2D). We obtained information about diagnosed T2D and relevant covariates at the individual level from the large and representative 45 and Up Study. Average contiguous green space and the percentage of green space within 500 m, 1 km, and 2 km of circular buffer, line-based road network (LBRN) buffers, and polygon-based road network (PBRN) buffers around participants' residences were used as proxies for geographic access to green space. Generalized estimating equation regression models were used to determine associations between access to green space and T2D status of individuals. It was found that 30%-40% green space within 500 m LBRN or PBRN buffers, and 2 km PBRN buffers, but not within circular buffers, significantly reduced the risk of T2D. The novel average green space area metric did not appear to be particularly effective at measuring reductions in T2D. This study complements an existing research body on optimal buffers for green space measurement.
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Affiliation(s)
- Soumya Mazumdar
- South Western Sydney Clinical School, University of New South Wales Medicine, Liverpool, NSW 2170, Australia;
- Population Health Intelligence, South Western Sydney Local Health District, Liverpool, NSW 2170, Australia;
| | - Shanley Chong
- South Western Sydney Clinical School, University of New South Wales Medicine, Liverpool, NSW 2170, Australia;
- Population Health Intelligence, South Western Sydney Local Health District, Liverpool, NSW 2170, Australia;
| | - Thomas Astell-Burt
- Population Wellbeing and Environment Research Lab (Power Lab), School of Health and Society, Faculty of Arts, Social Sciences and Humanities, University of Wollongong, Wollongong, NSW 2522, Australia; (T.A.-B.); (X.F.)
- Menzies Centre for Health Policy, School of Public Health, University of Sydney, Sydney, NSW 2006, Australia
- Chinese Center for Disease Control and Prevention, National Institute of Environmental Health, Beijing 102206, China
- School of Public Health, Peking Union Medical College and The Chinese Academy of Medical Sciences, Beijing 102206, China
| | - Xiaoqi Feng
- Population Wellbeing and Environment Research Lab (Power Lab), School of Health and Society, Faculty of Arts, Social Sciences and Humanities, University of Wollongong, Wollongong, NSW 2522, Australia; (T.A.-B.); (X.F.)
- School of Population Health, Faculty of Medicine and Health, University of New South Wales, Sydney, NSW 2052, Australia
| | - Geoffrey Morgan
- University Centre for Rural Health, School of Public Health, University of Sydney, Lismore, NSW 2480, Australia;
| | - Bin Jalaludin
- Population Health Intelligence, South Western Sydney Local Health District, Liverpool, NSW 2170, Australia;
- School of Population Health, Faculty of Medicine and Health, University of New South Wales, Sydney, NSW 2052, Australia
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