Neighbourhood characteristics and cumulative biological risk: evidence from the Jamaica Health and Lifestyle Survey 2008: a cross-sectional study

ObjectiveTo examine whether neighbourhood characteristics are associated with cumulative biological risk (CBR) and sex differences in CBR in a nationally representative sample in Jamaica, a small island developing country with increasing prevalence of non-communicable diseases (NCDs).DesignCross-sec...

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Veröffentlicht in:BMJ open 2018-12, Vol.8 (12), p.e021952
Hauptverfasser: Cunningham-Myrie, Colette Andrea, Mabile, Emily, Govia, Ishtar, Younger, Novie O, Tulloch-Reid, Marshall Kerr, McFarlane, Shelly, Francis, Damian, Gordon-Strachan, Georgiana, Wilks, Rainford, Greene, Lisa-Gaye, Lyew-Ayee, Parris, Theall, Katherine P
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container_start_page e021952
container_title BMJ open
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creator Cunningham-Myrie, Colette Andrea
Mabile, Emily
Govia, Ishtar
Younger, Novie O
Tulloch-Reid, Marshall Kerr
McFarlane, Shelly
Francis, Damian
Gordon-Strachan, Georgiana
Wilks, Rainford
Greene, Lisa-Gaye
Lyew-Ayee, Parris
Theall, Katherine P
description ObjectiveTo examine whether neighbourhood characteristics are associated with cumulative biological risk (CBR) and sex differences in CBR in a nationally representative sample in Jamaica, a small island developing country with increasing prevalence of non-communicable diseases (NCDs).DesignCross-sectional studySettingA population-based cross-sectional survey, the Jamaica Health and Lifestyle Survey 2008 (JHLS II) recruited persons at their homes over a 4 month period from all 14 parishes and 113 neighbourhoods defined as enumeration districts (EDs).Participants2544 persons aged 15–74 years old from the 2008 Jamaica Health and Lifestyle Survey (JHLS II), who completed interviewer-administered questionnaires and had biomarkers assessed, and whose home addresses could be reliably geocoded.Primary outcomeA summary measure CBR was created using seven markers—systolic and diastolic blood pressure readings, waist circumference, body mass index, total cholesterol, fasting blood glucose levels and self-reported asthma. Weighted multilevel models examined clustering, using the intraclass correlation coefficient (ICC), of CBR across neighbourhoods and the impact of neighbourhood characteristics (recreational space availability and neighbourhood disorder) on CBR.ResultsWomen had significantly higher mean CBR scores than men across all age groups. There was significant clustering of CBR by ED, and among women versus men (ICC: F=6.9%, M=0.7%). Women living in more disordered neighbourhoods were 26% more likely to have high CBR as those in less disordered ones (aOR=1.26, 95% CI=1.08 to 1.47; p
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Weighted multilevel models examined clustering, using the intraclass correlation coefficient (ICC), of CBR across neighbourhoods and the impact of neighbourhood characteristics (recreational space availability and neighbourhood disorder) on CBR.ResultsWomen had significantly higher mean CBR scores than men across all age groups. There was significant clustering of CBR by ED, and among women versus men (ICC: F=6.9%, M=0.7%). Women living in more disordered neighbourhoods were 26% more likely to have high CBR as those in less disordered ones (aOR=1.26, 95% CI=1.08 to 1.47; p&lt;0.05). Individuals living in EDs with greater recreational space availability were 25% less likely to have a high CBR (aOR=0.75, 95% CI=0.64 to 0.90; p&lt;0.05).ConclusionsPolicy-makers in Jamaica should pay greater attention to neighbourhood factors such as recreational space availability and neighbourhood disorder that may contribute to CBR in any effort to curtail the epidemic of NCDs.</description><identifier>ISSN: 2044-6055</identifier><identifier>EISSN: 2044-6055</identifier><identifier>DOI: 10.1136/bmjopen-2018-021952</identifier><identifier>PMID: 30552247</identifier><language>eng</language><publisher>England: BMJ Publishing Group LTD</publisher><subject>Adolescent ; Adult ; African Americans ; Age ; Aged ; Biological Factors - adverse effects ; Biomarkers ; Blood pressure ; Cross-Sectional Studies ; Developing countries ; Environmental Exposure ; Epidemiology ; Female ; Gender differences ; Health Surveys ; Humans ; Jamaica ; LDCs ; Life Style ; Lifestyles ; Male ; Middle Aged ; Neighborhoods ; Obesity ; Outdoor air quality ; Physiology ; Public Health ; Race ; Residence Characteristics ; Risk Factors ; Sex Factors ; Socioeconomic factors ; Stress ; Surveys and Questionnaires ; Womens health ; Young Adult</subject><ispartof>BMJ open, 2018-12, Vol.8 (12), p.e021952</ispartof><rights>Author(s) (or their employer(s)) 2018. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.</rights><rights>2018 Author(s) (or their employer(s)) 2018. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ . Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>Author(s) (or their employer(s)) 2018. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. 2018</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-b472t-3509943dd2159758bed53e438887ba7c912dd359564a01a06d45b8c5df062d273</citedby><cites>FETCH-LOGICAL-b472t-3509943dd2159758bed53e438887ba7c912dd359564a01a06d45b8c5df062d273</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://bmjopen.bmj.com/content/8/12/e021952.full.pdf$$EPDF$$P50$$Gbmj$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://bmjopen.bmj.com/content/8/12/e021952.full$$EHTML$$P50$$Gbmj$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,860,881,27526,27527,27901,27902,53766,53768,77343,77374</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/30552247$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Cunningham-Myrie, Colette Andrea</creatorcontrib><creatorcontrib>Mabile, Emily</creatorcontrib><creatorcontrib>Govia, Ishtar</creatorcontrib><creatorcontrib>Younger, Novie O</creatorcontrib><creatorcontrib>Tulloch-Reid, Marshall Kerr</creatorcontrib><creatorcontrib>McFarlane, Shelly</creatorcontrib><creatorcontrib>Francis, Damian</creatorcontrib><creatorcontrib>Gordon-Strachan, Georgiana</creatorcontrib><creatorcontrib>Wilks, Rainford</creatorcontrib><creatorcontrib>Greene, Lisa-Gaye</creatorcontrib><creatorcontrib>Lyew-Ayee, Parris</creatorcontrib><creatorcontrib>Theall, Katherine P</creatorcontrib><title>Neighbourhood characteristics and cumulative biological risk: evidence from the Jamaica Health and Lifestyle Survey 2008: a cross-sectional study</title><title>BMJ open</title><addtitle>BMJ Open</addtitle><description>ObjectiveTo examine whether neighbourhood characteristics are associated with cumulative biological risk (CBR) and sex differences in CBR in a nationally representative sample in Jamaica, a small island developing country with increasing prevalence of non-communicable diseases (NCDs).DesignCross-sectional studySettingA population-based cross-sectional survey, the Jamaica Health and Lifestyle Survey 2008 (JHLS II) recruited persons at their homes over a 4 month period from all 14 parishes and 113 neighbourhoods defined as enumeration districts (EDs).Participants2544 persons aged 15–74 years old from the 2008 Jamaica Health and Lifestyle Survey (JHLS II), who completed interviewer-administered questionnaires and had biomarkers assessed, and whose home addresses could be reliably geocoded.Primary outcomeA summary measure CBR was created using seven markers—systolic and diastolic blood pressure readings, waist circumference, body mass index, total cholesterol, fasting blood glucose levels and self-reported asthma. Weighted multilevel models examined clustering, using the intraclass correlation coefficient (ICC), of CBR across neighbourhoods and the impact of neighbourhood characteristics (recreational space availability and neighbourhood disorder) on CBR.ResultsWomen had significantly higher mean CBR scores than men across all age groups. There was significant clustering of CBR by ED, and among women versus men (ICC: F=6.9%, M=0.7%). Women living in more disordered neighbourhoods were 26% more likely to have high CBR as those in less disordered ones (aOR=1.26, 95% CI=1.08 to 1.47; p&lt;0.05). Individuals living in EDs with greater recreational space availability were 25% less likely to have a high CBR (aOR=0.75, 95% CI=0.64 to 0.90; p&lt;0.05).ConclusionsPolicy-makers in Jamaica should pay greater attention to neighbourhood factors such as recreational space availability and neighbourhood disorder that may contribute to CBR in any effort to curtail the epidemic of NCDs.</description><subject>Adolescent</subject><subject>Adult</subject><subject>African Americans</subject><subject>Age</subject><subject>Aged</subject><subject>Biological Factors - adverse effects</subject><subject>Biomarkers</subject><subject>Blood pressure</subject><subject>Cross-Sectional Studies</subject><subject>Developing countries</subject><subject>Environmental Exposure</subject><subject>Epidemiology</subject><subject>Female</subject><subject>Gender differences</subject><subject>Health Surveys</subject><subject>Humans</subject><subject>Jamaica</subject><subject>LDCs</subject><subject>Life Style</subject><subject>Lifestyles</subject><subject>Male</subject><subject>Middle Aged</subject><subject>Neighborhoods</subject><subject>Obesity</subject><subject>Outdoor air quality</subject><subject>Physiology</subject><subject>Public Health</subject><subject>Race</subject><subject>Residence Characteristics</subject><subject>Risk Factors</subject><subject>Sex Factors</subject><subject>Socioeconomic factors</subject><subject>Stress</subject><subject>Surveys and Questionnaires</subject><subject>Womens health</subject><subject>Young Adult</subject><issn>2044-6055</issn><issn>2044-6055</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><sourceid>9YT</sourceid><sourceid>ACMMV</sourceid><sourceid>EIF</sourceid><sourceid>BENPR</sourceid><recordid>eNqNkc1O3DAUhS0EAkR5gkqVJdah_s0PCySE2tJqVBbQteXYNxNPk3hqOyPNY_DGGGaK6K7e2Lr-7vE9Pgh9pOSSUl5-bseVX8NUMELrgjDaSHaAThkRoiiJlIfvzifoPMYVyUvIRkp2jE54LjMmqlP09BPcsm_9HHrvLTa9DtokCC4mZyLWU67N4zzo5DaAW-cHv3RGDzgTv68wbJyFyQDugh9x6gH_0KPOAL4DPaT-VWDhOohpOwB-mMMGtpgRUl9hjU3wMRYRTHJ-ypoxzXb7AR11eohwvt_P0K-vXx5v74rF_bfvtzeLohUVSwWXpGkEt5ZR2VSybsFKDoLXdV21ujINZdbybLgUmlBNSitkWxtpO1Iyyyp-hq53uuu5HcEamFLQg1oHN-qwVV479e_N5Hq19BtVcsJLwbPAxV4g-D9zdqhW-Ruzj6jyTGXVZIhmiu-oV7MBurcXKFEvUap9lOolSrWLMnd9ej_cW8_f4DJwuQNy938pPgOFvayh</recordid><startdate>20181201</startdate><enddate>20181201</enddate><creator>Cunningham-Myrie, Colette Andrea</creator><creator>Mabile, Emily</creator><creator>Govia, Ishtar</creator><creator>Younger, Novie O</creator><creator>Tulloch-Reid, Marshall Kerr</creator><creator>McFarlane, Shelly</creator><creator>Francis, Damian</creator><creator>Gordon-Strachan, Georgiana</creator><creator>Wilks, Rainford</creator><creator>Greene, Lisa-Gaye</creator><creator>Lyew-Ayee, Parris</creator><creator>Theall, Katherine P</creator><general>BMJ Publishing Group LTD</general><general>BMJ Publishing Group</general><scope>9YT</scope><scope>ACMMV</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7RV</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>88G</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BTHHO</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>K9-</scope><scope>K9.</scope><scope>KB0</scope><scope>M0R</scope><scope>M0S</scope><scope>M1P</scope><scope>M2M</scope><scope>NAPCQ</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PSYQQ</scope><scope>Q9U</scope><scope>5PM</scope></search><sort><creationdate>20181201</creationdate><title>Neighbourhood characteristics and cumulative biological risk: evidence from the Jamaica Health and Lifestyle Survey 2008: a cross-sectional study</title><author>Cunningham-Myrie, Colette Andrea ; Mabile, Emily ; Govia, Ishtar ; Younger, Novie O ; Tulloch-Reid, Marshall Kerr ; McFarlane, Shelly ; Francis, Damian ; Gordon-Strachan, Georgiana ; Wilks, Rainford ; Greene, Lisa-Gaye ; Lyew-Ayee, Parris ; Theall, Katherine P</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-b472t-3509943dd2159758bed53e438887ba7c912dd359564a01a06d45b8c5df062d273</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Adolescent</topic><topic>Adult</topic><topic>African Americans</topic><topic>Age</topic><topic>Aged</topic><topic>Biological Factors - adverse effects</topic><topic>Biomarkers</topic><topic>Blood pressure</topic><topic>Cross-Sectional Studies</topic><topic>Developing countries</topic><topic>Environmental Exposure</topic><topic>Epidemiology</topic><topic>Female</topic><topic>Gender differences</topic><topic>Health Surveys</topic><topic>Humans</topic><topic>Jamaica</topic><topic>LDCs</topic><topic>Life Style</topic><topic>Lifestyles</topic><topic>Male</topic><topic>Middle Aged</topic><topic>Neighborhoods</topic><topic>Obesity</topic><topic>Outdoor air quality</topic><topic>Physiology</topic><topic>Public Health</topic><topic>Race</topic><topic>Residence Characteristics</topic><topic>Risk Factors</topic><topic>Sex Factors</topic><topic>Socioeconomic factors</topic><topic>Stress</topic><topic>Surveys and Questionnaires</topic><topic>Womens health</topic><topic>Young Adult</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Cunningham-Myrie, Colette Andrea</creatorcontrib><creatorcontrib>Mabile, Emily</creatorcontrib><creatorcontrib>Govia, Ishtar</creatorcontrib><creatorcontrib>Younger, Novie O</creatorcontrib><creatorcontrib>Tulloch-Reid, Marshall Kerr</creatorcontrib><creatorcontrib>McFarlane, Shelly</creatorcontrib><creatorcontrib>Francis, Damian</creatorcontrib><creatorcontrib>Gordon-Strachan, Georgiana</creatorcontrib><creatorcontrib>Wilks, Rainford</creatorcontrib><creatorcontrib>Greene, Lisa-Gaye</creatorcontrib><creatorcontrib>Lyew-Ayee, Parris</creatorcontrib><creatorcontrib>Theall, Katherine P</creatorcontrib><collection>BMJ Open Access Journals</collection><collection>BMJ Journals:Open Access</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Nursing &amp; 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Weighted multilevel models examined clustering, using the intraclass correlation coefficient (ICC), of CBR across neighbourhoods and the impact of neighbourhood characteristics (recreational space availability and neighbourhood disorder) on CBR.ResultsWomen had significantly higher mean CBR scores than men across all age groups. There was significant clustering of CBR by ED, and among women versus men (ICC: F=6.9%, M=0.7%). Women living in more disordered neighbourhoods were 26% more likely to have high CBR as those in less disordered ones (aOR=1.26, 95% CI=1.08 to 1.47; p&lt;0.05). Individuals living in EDs with greater recreational space availability were 25% less likely to have a high CBR (aOR=0.75, 95% CI=0.64 to 0.90; p&lt;0.05).ConclusionsPolicy-makers in Jamaica should pay greater attention to neighbourhood factors such as recreational space availability and neighbourhood disorder that may contribute to CBR in any effort to curtail the epidemic of NCDs.</abstract><cop>England</cop><pub>BMJ Publishing Group LTD</pub><pmid>30552247</pmid><doi>10.1136/bmjopen-2018-021952</doi><oa>free_for_read</oa></addata></record>
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subjects Adolescent
Adult
African Americans
Age
Aged
Biological Factors - adverse effects
Biomarkers
Blood pressure
Cross-Sectional Studies
Developing countries
Environmental Exposure
Epidemiology
Female
Gender differences
Health Surveys
Humans
Jamaica
LDCs
Life Style
Lifestyles
Male
Middle Aged
Neighborhoods
Obesity
Outdoor air quality
Physiology
Public Health
Race
Residence Characteristics
Risk Factors
Sex Factors
Socioeconomic factors
Stress
Surveys and Questionnaires
Womens health
Young Adult
title Neighbourhood characteristics and cumulative biological risk: evidence from the Jamaica Health and Lifestyle Survey 2008: a cross-sectional study
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