Construction and validation of the associated depression risk prediction model in patients with type Ⅱ diabetes mellitus_Chinese Journal of Evidence-Based Medicine

Authors：

ZHANG Yixuan ¹ , FENG Tianyuan ² ,  GAO Yifei ³

1. School of Health Management, Southern Medical University, Guangzhou 510080, P. R. China;
2. Pingshan Medical and Health Group of Southern Medical University, Shenzhen 518118, P. R. China;
3. General Education Department of Southern Medical University, Guangzhou 510080, P. R. China;

Corresponding author：

GAO Yifei, Email: 18429693@qq.com

Keywords：

Type Ⅱ diabetes mellitus; Depression; Risk factors; Prediction model

DOI：

10.7507/1672-2531.202304050

Video：

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Abstract Full text Figures/Tables Video References Cited by

Objective To explore the risk factors for accompanying depression in patients with community type Ⅱ diabetes and to construct their risk prediction model. Methods A total of 269 patients with type Ⅱ diabetes accompanied with depression and 217 patients with simple type Ⅱ diabetes from three community health service centers in two streets of Pingshan District, Shenzhen from October 2021 to April 2022 were included. The risk factors were analyzed and screened out, and a logistic regression risk prediction model was constructed. The goodness of fit and prediction ability of the model were tested by the Hosmer-Lemeshow test and the receiver operating characteristic (ROC) curve. Finally, the model was verified. Results Logistic regression analysis showed that smoking, diabetes complications, physical function, psychological dimension, medical coping for face, and medical coping for avoidance were independent risk factors for depressive disorder in patients with type Ⅱ diabetes. Modeling group Hosmer-Lemeshow test P=0.345, the area under the ROC curve was 0.987, sensitivity was 95.2% and specificity was 98.6%. The area under the ROC curve was 0.945, sensitivity was 89.8%, specificity was 84.8%, and accuracy was 86.8%, showing the model predictive value. Conclusion The risk prediction model of type Ⅱ diabetes patients with depressive disorder constructed in this study has good predictive and discriminating ability.

Citation： ZHANG Yixuan, FENG Tianyuan, GAO Yifei. Construction and validation of the associated depression risk prediction model in patients with type Ⅱ diabetes mellitus. Chinese Journal of Evidence-Based Medicine, 2023, 23(8): 874-879. doi: 10.7507/1672-2531.202304050 Copy

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2.	李苑, 贾睿, 李晓淳. 基于社区的2型糖尿病合并抑郁现况研究. 中国卫生事业管理, 2016, 33(2): 94-96.
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6.	Kim SG, Lee IH. The impact of quality of life measured by WHOQOL-BREF on mortality in maintenance hemodialysis patients: a single center retrospective cross-sectional study. J Yeungnam Med Sci, 2023, 40(1): 49-57.
7.	吴瑶瑶, 程璐瑶, 郭海健, 等. 糖尿病特异性生存质量量表与EQ-5D效用量表的映射研究. 中国卫生统计, 2022, 39(4): 499-503, 508.
8.	Amin A, Hassan AH, Abdelraouf BM, et al. Psychological assessment of a sample of Egyptian children and adolescents with type 1 diabetes. QJM: Inter J Med, 2021, 114(Suppl 1): 1.
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10.	Tashiro K, Kaida Y, Yamagishi SI, et al. L-carnitine supplementation improves self-rating depression scale scores in uremic male patients undergoing hemodialysis. Lett Drug Des Discov, 2017, 14(6): 737-742.
11.	Saleh AS. Beware the IBM SPSS statistics® in multiple ROC curves analysis. Intern Emerg Med, 2023, 1-3.
12.	Chou LN, Raji MA, Yu X, et al. Trends in diabetes medication taking and incidence of depression in patients with type 2 diabetes: a retrospective cohort study from 2010 to 2018. Int J Behav Med, 2023, 3: 23.
13.	Farin HM, Abbasi F, Kim SH, et al. The relationship between insulin resistance and dyslipidaemia in cigarette smokers. Diabetes Obes Metab, 2007, 9(1): 65-69.
14.	于欢, 徐刚, 司捷, 等. 吸烟对2型糖尿病患者抑郁状态的影响. 临床荟萃, 2015, 30(7): 825-827.
15.	Akbaraly TN, Kumari M, Head J, et al. Glycemia, insulin resistance, insulin secretion, and risk of depressive symptoms in middle age. Diabetes Care, 2013, 36(4): 928-934.
16.	AbdElmageed RM, Mohammed Hussein SM. Risk of depression and suicide in diabetic patients. Cureus, 2022, 14(1): e20860.
17.	Lechner WV, Sidhu NK, Cioe PA, et al. Effects of time-varying changes in tobacco and alcohol use on depressive symptoms following pharmaco-behavioral treatment for smoking and heavy drinking. Drug Alcohol Depend, 2019, 194: 173-177.
18.	Surman OS. Limits of the self-medication hypothesis of addictive disorders. Am J Psychiatry, 1986, 143(8): 1063-1064.
19.	Cook JW, Baker TB, Beckham JC, et al. Smoking-induced affect modulation in nonwithdrawn smokers with posttraumatic stress disorder, depression, and in those with no psychiatric disorder. J Abnorm Psychol, 2017, 126(2): 184-198.
20.	Han Y, Wang S, Zhao H, et al. Lower serum uric acid levels may lower the incidence of diabetic chronic complications in U. S. adults aged 40 and over. J Clin Med, 2023, 12(2): 725.
21.	Hargittay C, Vörös K, Eőry A, et al. The association between diabetes complications and symptoms of depression and anxiety. Orv Hetil, 2023, 164(3): 79-87.
22.	Łukasiewicz A, Cichoń E, Kostecka B, et al. Association of higher rates of type 2 diabetes (T2DM) complications with psychological and demographic variables: results of a cross-sectional study. Diabetes Metab Syndr Obes, 2022, 15: 3303-3317.
23.	Cleven L, Krell-Roesch J, Nigg CR, et al. The association between physical activity with incident obesity, coronary heart disease, diabetes and hypertension in adults: a systematic review of longitudinal studies published after 2012. BMC Public Health, 2020, 20(1): 726.
24.	来利娅, 年素娟, 李儿. 杭州市西湖区2型糖尿病患者合并抑郁发生情况及影响因素分析. 实用预防医学, 2022, 29(7): 883-886.
25.	余菊芬, 魏欣, 苏诚. 特殊儿童家庭医学应对方式调查及其影响因素分析. 中国全科医学, 2019, 22(9): 1084-1089.
26.	鲁艳桦, 苏晓. 社会支持对大学生心理应激的影响: 应对方式的中介作用. 保定学院学报, 2021, 34(4): 106-111.
27.	Glasgow RE, Toobert DJ, Barrera M, et al. The chronic illness resources survey: cross-validation and sensitivity to intervention. Health Educ Res, 2005, 20(4): 402-409.
28.	季玲, 余莉, 卢层层, 等. 慢性病资源利用对心肌梗死患者健康相关生活质量的影响: 应对方式的中介作用. 第三军医大学学报, 2021, 43(17): 1689-1695.
29.	王宇, 徐健康, 宋荣维, 等. 社区健康管理下的糖尿病患者生命质量评价. 健康教育与健康促进, 2022, 17(1): 25-29,33.
30.	Pormehr S, Dasht Bozorgi Z. Effectiveness of health-promoting lifestyle training on mental well-being, vitality, and quality of life of elderly with diabetes. J Gen Psychol, 2023, 1-13.
31.	段海珍, 曹梅娟, 姚秋怡. 认知行为疗法在我国糖尿病患者中的应用现状. 护理实践与研究, 2022, 19(11): 1658-1662.
32.	Nicklas L, Albiston M, Dunbar M, et al. A systematic review of economic analyses of psychological interventions and therapies in health-related settings. BMC Health Serv Res, 2022, 22(1): 1131.
33.	Jenkinson E, Knoop I, Hudson JL, et al. The effectiveness of cognitive behavioural therapy and third-wave cognitive behavioural interventions on diabetes-related distress: a systematic review and meta-analysis. Diabet Med, 2022, 39(11): e14948.

1. Moffat K, Mercer SW. Challenges of managing people with multimorbidity in today's healthcare systems. BMC Fam Pract, 2015, 16: 129.
2. 李苑, 贾睿, 李晓淳. 基于社区的2型糖尿病合并抑郁现况研究. 中国卫生事业管理, 2016, 33(2): 94-96.
3. Collins GS, Reitsma JB, Altman DG, et al. Transparent reporting of a multivariable prediction model for individual prognosis or diagnosis (TRIPOD): the TRIPOD statement. BMJ, 2015, 350: 7594.
4. Debray TPA, Collins GS, Riley RD, et al. Transparent reporting of multivariable prediction models developed or validated using clustered data (TRIPOD-Cluster): explanation and elaboration. BMJ, 2023, 380: e071058.
5. Abbas Q, Latif S, Ayaz Habib H, et al. Cognitive behavior therapy for diabetes distress, depression, health anxiety, quality of life and treatment adherence among patients with type-Ⅱ diabetes mellitus: a randomized control trial. BMC Psychiatry, 2023, 23(1): 86.
6. Kim SG, Lee IH. The impact of quality of life measured by WHOQOL-BREF on mortality in maintenance hemodialysis patients: a single center retrospective cross-sectional study. J Yeungnam Med Sci, 2023, 40(1): 49-57.
7. 吴瑶瑶, 程璐瑶, 郭海健, 等. 糖尿病特异性生存质量量表与EQ-5D效用量表的映射研究. 中国卫生统计, 2022, 39(4): 499-503, 508.
8. Amin A, Hassan AH, Abdelraouf BM, et al. Psychological assessment of a sample of Egyptian children and adolescents with type 1 diabetes. QJM: Inter J Med, 2021, 114(Suppl 1): 1.
9. 万晓玲, 莫强. 循证护理对首发脑卒中患者情绪状态的影响. 中国健康心理学杂志, 2018, 26(3): 363-365.
10. Tashiro K, Kaida Y, Yamagishi SI, et al. L-carnitine supplementation improves self-rating depression scale scores in uremic male patients undergoing hemodialysis. Lett Drug Des Discov, 2017, 14(6): 737-742.
11. Saleh AS. Beware the IBM SPSS statistics® in multiple ROC curves analysis. Intern Emerg Med, 2023, 1-3.
12. Chou LN, Raji MA, Yu X, et al. Trends in diabetes medication taking and incidence of depression in patients with type 2 diabetes: a retrospective cohort study from 2010 to 2018. Int J Behav Med, 2023, 3: 23.
13. Farin HM, Abbasi F, Kim SH, et al. The relationship between insulin resistance and dyslipidaemia in cigarette smokers. Diabetes Obes Metab, 2007, 9(1): 65-69.
14. 于欢, 徐刚, 司捷, 等. 吸烟对2型糖尿病患者抑郁状态的影响. 临床荟萃, 2015, 30(7): 825-827.
15. Akbaraly TN, Kumari M, Head J, et al. Glycemia, insulin resistance, insulin secretion, and risk of depressive symptoms in middle age. Diabetes Care, 2013, 36(4): 928-934.
16. AbdElmageed RM, Mohammed Hussein SM. Risk of depression and suicide in diabetic patients. Cureus, 2022, 14(1): e20860.
17. Lechner WV, Sidhu NK, Cioe PA, et al. Effects of time-varying changes in tobacco and alcohol use on depressive symptoms following pharmaco-behavioral treatment for smoking and heavy drinking. Drug Alcohol Depend, 2019, 194: 173-177.
18. Surman OS. Limits of the self-medication hypothesis of addictive disorders. Am J Psychiatry, 1986, 143(8): 1063-1064.
19. Cook JW, Baker TB, Beckham JC, et al. Smoking-induced affect modulation in nonwithdrawn smokers with posttraumatic stress disorder, depression, and in those with no psychiatric disorder. J Abnorm Psychol, 2017, 126(2): 184-198.
20. Han Y, Wang S, Zhao H, et al. Lower serum uric acid levels may lower the incidence of diabetic chronic complications in U. S. adults aged 40 and over. J Clin Med, 2023, 12(2): 725.
21. Hargittay C, Vörös K, Eőry A, et al. The association between diabetes complications and symptoms of depression and anxiety. Orv Hetil, 2023, 164(3): 79-87.
22. Łukasiewicz A, Cichoń E, Kostecka B, et al. Association of higher rates of type 2 diabetes (T2DM) complications with psychological and demographic variables: results of a cross-sectional study. Diabetes Metab Syndr Obes, 2022, 15: 3303-3317.
23. Cleven L, Krell-Roesch J, Nigg CR, et al. The association between physical activity with incident obesity, coronary heart disease, diabetes and hypertension in adults: a systematic review of longitudinal studies published after 2012. BMC Public Health, 2020, 20(1): 726.
24. 来利娅, 年素娟, 李儿. 杭州市西湖区2型糖尿病患者合并抑郁发生情况及影响因素分析. 实用预防医学, 2022, 29(7): 883-886.
25. 余菊芬, 魏欣, 苏诚. 特殊儿童家庭医学应对方式调查及其影响因素分析. 中国全科医学, 2019, 22(9): 1084-1089.
26. 鲁艳桦, 苏晓. 社会支持对大学生心理应激的影响: 应对方式的中介作用. 保定学院学报, 2021, 34(4): 106-111.
27. Glasgow RE, Toobert DJ, Barrera M, et al. The chronic illness resources survey: cross-validation and sensitivity to intervention. Health Educ Res, 2005, 20(4): 402-409.
28. 季玲, 余莉, 卢层层, 等. 慢性病资源利用对心肌梗死患者健康相关生活质量的影响: 应对方式的中介作用. 第三军医大学学报, 2021, 43(17): 1689-1695.
29. 王宇, 徐健康, 宋荣维, 等. 社区健康管理下的糖尿病患者生命质量评价. 健康教育与健康促进, 2022, 17(1): 25-29,33.
30. Pormehr S, Dasht Bozorgi Z. Effectiveness of health-promoting lifestyle training on mental well-being, vitality, and quality of life of elderly with diabetes. J Gen Psychol, 2023, 1-13.
31. 段海珍, 曹梅娟, 姚秋怡. 认知行为疗法在我国糖尿病患者中的应用现状. 护理实践与研究, 2022, 19(11): 1658-1662.
32. Nicklas L, Albiston M, Dunbar M, et al. A systematic review of economic analyses of psychological interventions and therapies in health-related settings. BMC Health Serv Res, 2022, 22(1): 1131.
33. Jenkinson E, Knoop I, Hudson JL, et al. The effectiveness of cognitive behavioural therapy and third-wave cognitive behavioural interventions on diabetes-related distress: a systematic review and meta-analysis. Diabet Med, 2022, 39(11): e14948.

Chinese Journal of Evidence-Based Medicine

Construction and validation of the associated depression risk prediction model in patients with type Ⅱ diabetes mellitus

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