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Assessment of factors affecting diabetes management in the City Changing Diabetes (CCD) study in Tianjin

OBJECTIVE: 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. METHODS: 229 participants living with T2DM were purposively sampled from hospitals in Tianjin. Collected data w...

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Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6372168/
https://www.ncbi.nlm.nih.gov/pubmed/30753195
http://dx.doi.org/10.1371/journal.pone.0209222
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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_facet 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 Chen, Jiageng
collection PubMed
description OBJECTIVE: 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. METHODS: 229 participants living with T2DM were purposively sampled from hospitals in Tianjin. Collected data were coded and analysed following well-established thematic analysis principles. RESULTS: 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). CONCLUSION: 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.
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spelling pubmed-63721682019-03-01 Assessment of factors affecting diabetes management in the City Changing Diabetes (CCD) study in Tianjin 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 PLoS One Research Article OBJECTIVE: 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. METHODS: 229 participants living with T2DM were purposively sampled from hospitals in Tianjin. Collected data were coded and analysed following well-established thematic analysis principles. RESULTS: 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). CONCLUSION: 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. Public Library of Science 2019-02-12 /pmc/articles/PMC6372168/ /pubmed/30753195 http://dx.doi.org/10.1371/journal.pone.0209222 Text en © 2019 Chen et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
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
Assessment of factors affecting diabetes management in the City Changing Diabetes (CCD) study in Tianjin
title Assessment of factors affecting diabetes management in the City Changing Diabetes (CCD) study in Tianjin
title_full Assessment of factors affecting diabetes management in the City Changing Diabetes (CCD) study in Tianjin
title_fullStr Assessment of factors affecting diabetes management in the City Changing Diabetes (CCD) study in Tianjin
title_full_unstemmed Assessment of factors affecting diabetes management in the City Changing Diabetes (CCD) study in Tianjin
title_short Assessment of factors affecting diabetes management in the City Changing Diabetes (CCD) study in Tianjin
title_sort assessment of factors affecting diabetes management in the city changing diabetes (ccd) study in tianjin
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6372168/
https://www.ncbi.nlm.nih.gov/pubmed/30753195
http://dx.doi.org/10.1371/journal.pone.0209222
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