Science Journal of Clinical Medicine

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Application of Social Support and Social Support Utilization for Chronic Diseases Patients Who Have Depression

Received: Apr. 08, 2020    Accepted: Apr. 24, 2020    Published: May 27, 2020
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Abstract

Objective: To evaluate application of social support and social support utilization for chronic diseases patients who have depression. Methods: 485 patients who were diagnosed as one of 6 chronic diseases, that include diabetes mellitus, stroke, coronary heart disease, malignant tumor, chronic kidney disease or chronic obstructive pulmonary disease were invested to join our study. Their diagnosis of time is from January 2018 to July 2018, and they also suffered from depression during the follow-up period. We used the questionnaires to collect the information from patient, such as patient health questionnaire 9 (C-PHQ-9) which is base on Multidimensional Scale of Perceived Social Support (MSPSS). Result:In all patient characteristics research, the incidence of depressive symptoms was 42.3%, it includes 101 cases of mild depression (49.3%), 62 cases of moderate depression (30.2%) and 42 cases of severe depression (20.5%). Some domains can influence depression in the life, they are education level, course of illness, monthly average medical expenses and self-care ability of patients with chronic depression and non-depression. In addition, some domains are statistical significance in the result, that include total score of social support utilization, perceived friend support, perceived other support, total score of perceived social support, perceived voluntary support, perceived professional support and perceived friendship support. Conclusion: The social support has strongly improvement to depression status of chronic diseases patients. Higher social support utilization improves the patients to better depression situation.

DOI 10.11648/j.sjcm.20200902.11
Published in Science Journal of Clinical Medicine ( Volume 9, Issue 2, June 2020 )
Page(s) 22-25
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Social Support, Chronic Diseases, Depression

References
[1] Mcelroy E, Napoleone E, Wolpert M, Patalay P. E Clinical Medicine structure and connectivity of depressive symptom networks corresponding to early treatment response. EClinical Medicine. 2019; 8: 29–36.
[2] Borsboom D, Cramer AOJ. Network analysis: an integrative approach to the structure of psychopathology. Annu. Rev. Clin. Psychol. 2017; 9 (1): 91–121.
[3] WHO, Depression and Other Common Mental Disorders: Global Health Estimates. 2017.
[4] Rush AJ, Rush AJ. The varied clinical presentations of major depressive disorder. 2007; 9086: 4–10.
[5] Ministry of Health and Welfare, The Survey of Mental Disorders in Korea. 2016.
[6] Boing F, Melo GR, Boing AC, Moretti-Pires RO, Peres KG, Peres MA. Association between depression and chronic diseases: results from a population-based study, Rev. Saude Publica. 2018; 46: 617–623.
[7] Dougall AL, Hyman KB, Hayward MC, Mc Feeley S, Baum A. Optimism and Traumatic Stress: The Importance of Social Support and Coping 1. Journal of Applied Social Psychology. 2016; 31 (2): 223–245.
[8] Trepte S, Dienlin T, Reinecke L. Influence of social support received in online and offline contexts on satisfaction with social support and satisfaction with life: A longitudinal study. Media Psychology. 2015; 18 (1): 74–105.
[9] Hale CJ, Hannum JW, Espelage DL. Social support and physical health: The importance of belonging. Journal of American College Health. 2015; 53 (6): 276–284.
[10] Barker, G. Adolescents, Social Support and Help-Seeking Behaviour Consultation with Recommendations for Action. World Heal. Organ. 2007: 1–64.
[11] Hernandez D, Reitzel L, Wetter D, McNeill L. Social support and cardiovascular risk factors among black adults. Ethn. Dis. 2016; 24: 444–450.
[12] Spitzer RL, Kroenke K, Williams JB. Validation and utility of a self-report version of PRIMEMD: the PHQ primary care study. Primary Care Evaluation of Mental Disorders. Patient Health Questionnaire. Jama 1999; 282 (18): 1737–1744.
[13] Hamilton M. Development of a rating scale for primary depressive illness. Br. J. Soc. Clin. Psychol. 1967; 6: 278–296.
[14] Zimet GD, Dahlem NW, Zimet SG, Farley GK. The Multidimensional Scale of Perceived Social Support. Journal of Personality Assessment. 1988; 52: 30–34.
[15] Tang CS-k, Wong WC, Leung PM, Chen W-q, Lee A, Ling DC. Health compromising behaviors among Chinese adolescents: role of physical abuse, school experience, and social support. J. Health Psychol. 2018; 16 (3): 457–466.
[16] Dai W, Chen L, Tan H, Wang J, Lai Z, Kaminga AC, Liu A. Association between social support and recovery from post-traumatic stress disorder after flood: a13–14 year follow-up study in Hunan, China. BMC Publ. Health. 2016; 16 (1): 194.
[17] Mitchell I, Evans L, Rees, T., Hardy L. Stressors, social support, and tests of the buffering hypothesis: effects on psychological responses of injured athletes. Br. J. Health Psychol. 2019; 19 (3): 486–508.
[18] Cranford JA. Stress-buffering or stress-exacerbation? Social support and social undermining as moderators of the relationship between perceived stress and depressive symptoms among married people. Pers. Relat. 2016; 11 (1): 23–40.
[19] Gleason ME, Iida M, Shrout PE, Bolger N. Receiving support as a mixed blessing: evidence for dual effects of support on psychological outcomes. J. Pers. Soc. Psychol. 2018; 94 (5): 824.
[20] Xiuling Z. Self-help organization participation and social support utilization of malignant tumor patients. Shanghai normal university. 2016.
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    Yanfang Deng, Jinai He, Yunjia Li. (2020). Application of Social Support and Social Support Utilization for Chronic Diseases Patients Who Have Depression. Science Journal of Clinical Medicine, 9(2), 22-25. https://doi.org/10.11648/j.sjcm.20200902.11

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    ACS Style

    Yanfang Deng; Jinai He; Yunjia Li. Application of Social Support and Social Support Utilization for Chronic Diseases Patients Who Have Depression. Sci. J. Clin. Med. 2020, 9(2), 22-25. doi: 10.11648/j.sjcm.20200902.11

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    AMA Style

    Yanfang Deng, Jinai He, Yunjia Li. Application of Social Support and Social Support Utilization for Chronic Diseases Patients Who Have Depression. Sci J Clin Med. 2020;9(2):22-25. doi: 10.11648/j.sjcm.20200902.11

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  • @article{10.11648/j.sjcm.20200902.11,
      author = {Yanfang Deng and Jinai He and Yunjia Li},
      title = {Application of Social Support and Social Support Utilization for Chronic Diseases Patients Who Have Depression},
      journal = {Science Journal of Clinical Medicine},
      volume = {9},
      number = {2},
      pages = {22-25},
      doi = {10.11648/j.sjcm.20200902.11},
      url = {https://doi.org/10.11648/j.sjcm.20200902.11},
      eprint = {https://download.sciencepg.com/pdf/10.11648.j.sjcm.20200902.11},
      abstract = {Objective: To evaluate application of social support and social support utilization for chronic diseases patients who have depression. Methods: 485 patients who were diagnosed as one of 6 chronic diseases, that include diabetes mellitus, stroke, coronary heart disease, malignant tumor, chronic kidney disease or chronic obstructive pulmonary disease were invested to join our study. Their diagnosis of time is from January 2018 to July 2018, and they also suffered from depression during the follow-up period. We used the questionnaires to collect the information from patient, such as patient health questionnaire 9 (C-PHQ-9) which is base on Multidimensional Scale of Perceived Social Support (MSPSS). Result:In all patient characteristics research, the incidence of depressive symptoms was 42.3%, it includes 101 cases of mild depression (49.3%), 62 cases of moderate depression (30.2%) and 42 cases of severe depression (20.5%). Some domains can influence depression in the life, they are education level, course of illness, monthly average medical expenses and self-care ability of patients with chronic depression and non-depression. In addition, some domains are statistical significance in the result, that include total score of social support utilization, perceived friend support, perceived other support, total score of perceived social support, perceived voluntary support, perceived professional support and perceived friendship support. Conclusion: The social support has strongly improvement to depression status of chronic diseases patients. Higher social support utilization improves the patients to better depression situation.},
     year = {2020}
    }
    

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  • TY  - JOUR
    T1  - Application of Social Support and Social Support Utilization for Chronic Diseases Patients Who Have Depression
    AU  - Yanfang Deng
    AU  - Jinai He
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    DO  - 10.11648/j.sjcm.20200902.11
    T2  - Science Journal of Clinical Medicine
    JF  - Science Journal of Clinical Medicine
    JO  - Science Journal of Clinical Medicine
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    EP  - 25
    PB  - Science Publishing Group
    SN  - 2327-2732
    UR  - https://doi.org/10.11648/j.sjcm.20200902.11
    AB  - Objective: To evaluate application of social support and social support utilization for chronic diseases patients who have depression. Methods: 485 patients who were diagnosed as one of 6 chronic diseases, that include diabetes mellitus, stroke, coronary heart disease, malignant tumor, chronic kidney disease or chronic obstructive pulmonary disease were invested to join our study. Their diagnosis of time is from January 2018 to July 2018, and they also suffered from depression during the follow-up period. We used the questionnaires to collect the information from patient, such as patient health questionnaire 9 (C-PHQ-9) which is base on Multidimensional Scale of Perceived Social Support (MSPSS). Result:In all patient characteristics research, the incidence of depressive symptoms was 42.3%, it includes 101 cases of mild depression (49.3%), 62 cases of moderate depression (30.2%) and 42 cases of severe depression (20.5%). Some domains can influence depression in the life, they are education level, course of illness, monthly average medical expenses and self-care ability of patients with chronic depression and non-depression. In addition, some domains are statistical significance in the result, that include total score of social support utilization, perceived friend support, perceived other support, total score of perceived social support, perceived voluntary support, perceived professional support and perceived friendship support. Conclusion: The social support has strongly improvement to depression status of chronic diseases patients. Higher social support utilization improves the patients to better depression situation.
    VL  - 9
    IS  - 2
    ER  - 

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Author Information
  • Psychiatry Department, The First Affiliated Hospital of Jinan University, Guangzhou, China

  • Nursing Department, The First Affiliated Hospital of Jinan University, Guangzhou, China

  • Psychiatry Department, The First Affiliated Hospital of Jinan University, Guangzhou, China

  • Section