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Assessment of factors affecting diabetes management in the City Changing Diabetes (CCD) study in Tianjin
This study aimed to identify the local levels of vulnerability among patients with Type-II diabetes (T2DM) in Tianjin. The study was aimed at curbing the rise of T2DM in cities. 229 participants living with T2DM were purposively sampled from hospitals in Tianjin. Collected data were coded and analys...
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Published in: | PloS one 2019-02, Vol.14 (2), p.e0209222-e0209222 |
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creator | Chen, Jiageng Jing, Xiyue Liu, Xiaoqian Volkmann, Anna-Mari Chen, Yunfeng Liu, Yuanyuan Li, Dandan Han, Duolan Guo, Yuting Gao, Fei Han, Na Wang, Xuying Zhao, Haozuo Shi, Xinjun Dong, Yanan Chen, Liming Napier, David Ma, Jun |
description | This study aimed to identify the local levels of vulnerability among patients with Type-II diabetes (T2DM) in Tianjin. The study was aimed at curbing the rise of T2DM in cities.
229 participants living with T2DM were purposively sampled from hospitals in Tianjin. Collected data were coded and analysed following well-established thematic analysis principles.
Twelve themes involving 29 factors were associated with diabetes patients' vulnerability: 1. Financial constraints (Low Income, Unemployment, No Medical Insurance/Low ratio reimbursement); 2. Severity of disease (Appearance of symptoms, complications, co-morbidities, high BMI, poor disease control); 3. Health literacy (No/Low/Wrong knowledge of health literacy); 4. Health beliefs (Perceived diabetes indifferently, Passively Acquire Health Knowledge, Distrust of primary health services); 5. Medical environment (Needs not met by Medical Services); 6. Life restrictions (Daily Life, Occupational Restriction); 7. Lifestyle change (Adhering to traditional or unhealthy diet, Lack of exercise, Low-quality sleep); 8. Time poverty (Healthcare-seeking behaviours were limited by work, Healthcare-seeking behaviours were limited by family issues); 9. Mental Condition (Negative emotions towards diabetes, Negative emotions towards life); 10. Levels of Support (Lack of community support, Lack of support from Friends and Family, Lack of Social Support); 11. Social integration (Low Degree of Integration, Belief in Suffering Alone); 12. Experience of transitions (Diet, Dwelling Environment).
Based on our findings, specific interventions targeting individual patients, family, community and society are needed to improve diabetes control, as well as patients' mental health care and general living conditions. |
doi_str_mv | 10.1371/journal.pone.0209222 |
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229 participants living with T2DM were purposively sampled from hospitals in Tianjin. Collected data were coded and analysed following well-established thematic analysis principles.
Twelve themes involving 29 factors were associated with diabetes patients' vulnerability: 1. Financial constraints (Low Income, Unemployment, No Medical Insurance/Low ratio reimbursement); 2. Severity of disease (Appearance of symptoms, complications, co-morbidities, high BMI, poor disease control); 3. Health literacy (No/Low/Wrong knowledge of health literacy); 4. Health beliefs (Perceived diabetes indifferently, Passively Acquire Health Knowledge, Distrust of primary health services); 5. Medical environment (Needs not met by Medical Services); 6. Life restrictions (Daily Life, Occupational Restriction); 7. Lifestyle change (Adhering to traditional or unhealthy diet, Lack of exercise, Low-quality sleep); 8. Time poverty (Healthcare-seeking behaviours were limited by work, Healthcare-seeking behaviours were limited by family issues); 9. Mental Condition (Negative emotions towards diabetes, Negative emotions towards life); 10. Levels of Support (Lack of community support, Lack of support from Friends and Family, Lack of Social Support); 11. Social integration (Low Degree of Integration, Belief in Suffering Alone); 12. Experience of transitions (Diet, Dwelling Environment).
Based on our findings, specific interventions targeting individual patients, family, community and society are needed to improve diabetes control, as well as patients' mental health care and general living conditions.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0209222</identifier><identifier>PMID: 30753195</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Analysis ; Biology and Life Sciences ; Body mass ; China ; Cities ; Cities and towns ; Clinical medicine ; Communities ; Community involvement ; Complications ; Data processing ; Diabetes ; Diabetes mellitus ; Diabetes Mellitus, Type 2 - psychology ; Diabetes Mellitus, Type 2 - therapy ; Diabetes therapy ; Diet ; Disease control ; Emotions ; Employment ; Exercise ; Family ; Female ; Health care ; Health care reform ; Health Literacy - methods ; Health Services ; Health Services Accessibility ; Hospital patients ; Humans ; Hypothesis testing ; Integration ; Interviews ; Literacy ; Living conditions ; Male ; Medical research ; Medicine and Health Sciences ; Mental disorders ; Mental health ; Mental health services ; Metabolism ; Middle Aged ; Nutrient deficiency ; Obesity ; Occupational health ; Patients ; Physiological aspects ; Poverty ; Preventive medicine ; Public health ; Qualitative Research ; Signs and symptoms ; Sleep ; Social aspects ; Social interactions ; Social Sciences ; Social Support ; Type 2 diabetes ; Unemployment</subject><ispartof>PloS one, 2019-02, Vol.14 (2), p.e0209222-e0209222</ispartof><rights>COPYRIGHT 2019 Public Library of Science</rights><rights>2019 Chen et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2019 Chen et al 2019 Chen et al</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c593t-cbfe110c7b405597c1825fcacf6018ac18553e593931333f3e1672dbeed31c393</citedby><cites>FETCH-LOGICAL-c593t-cbfe110c7b405597c1825fcacf6018ac18553e593931333f3e1672dbeed31c393</cites><orcidid>0000-0002-9319-1285</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/2178973549/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2178973549?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,25753,27924,27925,37012,37013,44590,53791,53793,75126</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/30753195$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Guerrero-Romero, Fernando</contributor><creatorcontrib>Chen, Jiageng</creatorcontrib><creatorcontrib>Jing, Xiyue</creatorcontrib><creatorcontrib>Liu, Xiaoqian</creatorcontrib><creatorcontrib>Volkmann, Anna-Mari</creatorcontrib><creatorcontrib>Chen, Yunfeng</creatorcontrib><creatorcontrib>Liu, Yuanyuan</creatorcontrib><creatorcontrib>Li, Dandan</creatorcontrib><creatorcontrib>Han, Duolan</creatorcontrib><creatorcontrib>Guo, Yuting</creatorcontrib><creatorcontrib>Gao, Fei</creatorcontrib><creatorcontrib>Han, Na</creatorcontrib><creatorcontrib>Wang, Xuying</creatorcontrib><creatorcontrib>Zhao, Haozuo</creatorcontrib><creatorcontrib>Shi, Xinjun</creatorcontrib><creatorcontrib>Dong, Yanan</creatorcontrib><creatorcontrib>Chen, Liming</creatorcontrib><creatorcontrib>Napier, David</creatorcontrib><creatorcontrib>Ma, Jun</creatorcontrib><title>Assessment of factors affecting diabetes management in the City Changing Diabetes (CCD) study in Tianjin</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>This study aimed to identify the local levels of vulnerability among patients with Type-II diabetes (T2DM) in Tianjin. The study was aimed at curbing the rise of T2DM in cities.
229 participants living with T2DM were purposively sampled from hospitals in Tianjin. Collected data were coded and analysed following well-established thematic analysis principles.
Twelve themes involving 29 factors were associated with diabetes patients' vulnerability: 1. Financial constraints (Low Income, Unemployment, No Medical Insurance/Low ratio reimbursement); 2. Severity of disease (Appearance of symptoms, complications, co-morbidities, high BMI, poor disease control); 3. Health literacy (No/Low/Wrong knowledge of health literacy); 4. Health beliefs (Perceived diabetes indifferently, Passively Acquire Health Knowledge, Distrust of primary health services); 5. Medical environment (Needs not met by Medical Services); 6. Life restrictions (Daily Life, Occupational Restriction); 7. Lifestyle change (Adhering to traditional or unhealthy diet, Lack of exercise, Low-quality sleep); 8. Time poverty (Healthcare-seeking behaviours were limited by work, Healthcare-seeking behaviours were limited by family issues); 9. Mental Condition (Negative emotions towards diabetes, Negative emotions towards life); 10. Levels of Support (Lack of community support, Lack of support from Friends and Family, Lack of Social Support); 11. Social integration (Low Degree of Integration, Belief in Suffering Alone); 12. Experience of transitions (Diet, Dwelling Environment).
Based on our findings, specific interventions targeting individual patients, family, community and society are needed to improve diabetes control, as well as patients' mental health care and general living conditions.</description><subject>Analysis</subject><subject>Biology and Life Sciences</subject><subject>Body mass</subject><subject>China</subject><subject>Cities</subject><subject>Cities and towns</subject><subject>Clinical medicine</subject><subject>Communities</subject><subject>Community involvement</subject><subject>Complications</subject><subject>Data processing</subject><subject>Diabetes</subject><subject>Diabetes mellitus</subject><subject>Diabetes Mellitus, Type 2 - psychology</subject><subject>Diabetes Mellitus, Type 2 - therapy</subject><subject>Diabetes therapy</subject><subject>Diet</subject><subject>Disease control</subject><subject>Emotions</subject><subject>Employment</subject><subject>Exercise</subject><subject>Family</subject><subject>Female</subject><subject>Health care</subject><subject>Health care reform</subject><subject>Health Literacy - methods</subject><subject>Health Services</subject><subject>Health Services Accessibility</subject><subject>Hospital patients</subject><subject>Humans</subject><subject>Hypothesis testing</subject><subject>Integration</subject><subject>Interviews</subject><subject>Literacy</subject><subject>Living conditions</subject><subject>Male</subject><subject>Medical research</subject><subject>Medicine and Health Sciences</subject><subject>Mental disorders</subject><subject>Mental health</subject><subject>Mental health services</subject><subject>Metabolism</subject><subject>Middle Aged</subject><subject>Nutrient deficiency</subject><subject>Obesity</subject><subject>Occupational health</subject><subject>Patients</subject><subject>Physiological aspects</subject><subject>Poverty</subject><subject>Preventive medicine</subject><subject>Public health</subject><subject>Qualitative Research</subject><subject>Signs and symptoms</subject><subject>Sleep</subject><subject>Social aspects</subject><subject>Social interactions</subject><subject>Social Sciences</subject><subject>Social Support</subject><subject>Type 2 diabetes</subject><subject>Unemployment</subject><issn>1932-6203</issn><issn>1932-6203</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><sourceid>DOA</sourceid><recordid>eNptklFv0zAUhSMEYmPwDxBE4mV7aLFz6zh5QaoyBpMm8TKeLce5Tl0ldokdpP57nDadVjTlwfH1d499j06SfKRkSYHTr1s3DlZ2y52zuCQZKbMse5Vc0hKyRZ4ReP3s_yJ55_2WEAZFnr9NLoBwBrRkl8lm7T1636MNqdOpliq4wadSa1TB2DZtjKwxoE97aWWLB9DYNGwwrUzYp9VG2nYCb0_gdVXd3qQ-jM1-Ih-NtFtj3ydvtOw8fpjXq-T33ffH6ufi4deP-2r9sFCshLBQtUZKieL1ijBWckWLjGkllc4JLWTcMgYY0RIoAGhAmvOsqREboCpWr5LPR91d57yYTfIio7woObDVRNwficbJrdgNppfDXjhpxKHghlbIIRjVoWjKnMqVLnj0Y1pqQjTRUHBUTVMij1rf5tvGusdGRXcG2Z2Jnp9YsxGt-yty4BnNiyhwPQsM7s-IPojeeIVdJy26cXp3wRnNASb0y3_oy9PNVCvjAMZqF-9Vk6hYMw4FKcnBpeULVPwa7I2KidIm1s8aVscGNTjvB9RPM1IipjyeHiOmPIo5j7Ht03N_nppOAYR_fxzc5g</recordid><startdate>20190212</startdate><enddate>20190212</enddate><creator>Chen, Jiageng</creator><creator>Jing, 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of factors affecting diabetes management in the City Changing Diabetes (CCD) study in Tianjin</title><author>Chen, Jiageng ; Jing, Xiyue ; Liu, Xiaoqian ; Volkmann, Anna-Mari ; Chen, Yunfeng ; Liu, Yuanyuan ; Li, Dandan ; Han, Duolan ; Guo, Yuting ; Gao, Fei ; Han, Na ; Wang, Xuying ; Zhao, Haozuo ; Shi, Xinjun ; Dong, Yanan ; Chen, Liming ; Napier, David ; Ma, Jun</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c593t-cbfe110c7b405597c1825fcacf6018ac18553e593931333f3e1672dbeed31c393</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Analysis</topic><topic>Biology and Life Sciences</topic><topic>Body mass</topic><topic>China</topic><topic>Cities</topic><topic>Cities and towns</topic><topic>Clinical medicine</topic><topic>Communities</topic><topic>Community involvement</topic><topic>Complications</topic><topic>Data processing</topic><topic>Diabetes</topic><topic>Diabetes 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Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Chen, Jiageng</au><au>Jing, Xiyue</au><au>Liu, Xiaoqian</au><au>Volkmann, Anna-Mari</au><au>Chen, Yunfeng</au><au>Liu, Yuanyuan</au><au>Li, Dandan</au><au>Han, Duolan</au><au>Guo, Yuting</au><au>Gao, Fei</au><au>Han, Na</au><au>Wang, Xuying</au><au>Zhao, Haozuo</au><au>Shi, Xinjun</au><au>Dong, Yanan</au><au>Chen, Liming</au><au>Napier, David</au><au>Ma, Jun</au><au>Guerrero-Romero, Fernando</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Assessment of factors affecting diabetes management in the City Changing Diabetes (CCD) study in Tianjin</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2019-02-12</date><risdate>2019</risdate><volume>14</volume><issue>2</issue><spage>e0209222</spage><epage>e0209222</epage><pages>e0209222-e0209222</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>This study aimed to identify the local levels of vulnerability among patients with Type-II diabetes (T2DM) in Tianjin. The study was aimed at curbing the rise of T2DM in cities.
229 participants living with T2DM were purposively sampled from hospitals in Tianjin. Collected data were coded and analysed following well-established thematic analysis principles.
Twelve themes involving 29 factors were associated with diabetes patients' vulnerability: 1. Financial constraints (Low Income, Unemployment, No Medical Insurance/Low ratio reimbursement); 2. Severity of disease (Appearance of symptoms, complications, co-morbidities, high BMI, poor disease control); 3. Health literacy (No/Low/Wrong knowledge of health literacy); 4. Health beliefs (Perceived diabetes indifferently, Passively Acquire Health Knowledge, Distrust of primary health services); 5. Medical environment (Needs not met by Medical Services); 6. Life restrictions (Daily Life, Occupational Restriction); 7. Lifestyle change (Adhering to traditional or unhealthy diet, Lack of exercise, Low-quality sleep); 8. Time poverty (Healthcare-seeking behaviours were limited by work, Healthcare-seeking behaviours were limited by family issues); 9. Mental Condition (Negative emotions towards diabetes, Negative emotions towards life); 10. Levels of Support (Lack of community support, Lack of support from Friends and Family, Lack of Social Support); 11. Social integration (Low Degree of Integration, Belief in Suffering Alone); 12. Experience of transitions (Diet, Dwelling Environment).
Based on our findings, specific interventions targeting individual patients, family, community and society are needed to improve diabetes control, as well as patients' mental health care and general living conditions.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>30753195</pmid><doi>10.1371/journal.pone.0209222</doi><orcidid>https://orcid.org/0000-0002-9319-1285</orcidid><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 1932-6203 |
ispartof | PloS one, 2019-02, Vol.14 (2), p.e0209222-e0209222 |
issn | 1932-6203 1932-6203 |
language | eng |
recordid | cdi_plos_journals_2178973549 |
source | PubMed Central Free; Publicly Available Content (ProQuest) |
subjects | Analysis Biology and Life Sciences Body mass China Cities Cities and towns Clinical medicine Communities Community involvement Complications Data processing Diabetes Diabetes mellitus Diabetes Mellitus, Type 2 - psychology Diabetes Mellitus, Type 2 - therapy Diabetes therapy Diet Disease control Emotions Employment Exercise Family Female Health care Health care reform Health Literacy - methods Health Services Health Services Accessibility Hospital patients Humans Hypothesis testing Integration Interviews Literacy Living conditions Male Medical research Medicine and Health Sciences Mental disorders Mental health Mental health services Metabolism Middle Aged Nutrient deficiency Obesity Occupational health Patients Physiological aspects Poverty Preventive medicine Public health Qualitative Research Signs and symptoms Sleep Social aspects Social interactions Social Sciences Social Support Type 2 diabetes Unemployment |
title | Assessment of factors affecting diabetes management in the City Changing Diabetes (CCD) study in Tianjin |
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