基于大五人格理论应用潜在剖面分析探究2型糖尿病患者的用药依从性

doi:10.19723/j.issn.1671-167X.2021.03.015

Abstract

Abstract:

Objective: To explore the personality portraits of patients with type 2 diabetes mellitus (T2DM), its relationship with medication adherence and the influencing factors of medication adherence. Methods: T2DM patients from 22 community health service stations of 4 community health service centers in Tongzhou district and Shunyi district in Beijing were selected as the research objects. A self-designed questionnaire was used to collect demographic information. The short version of Big Five personality scale was used to collect personality information, and latent profile analysis was used to explore their personality portraits. The medication adherence was evaluated by medication adherence scale, and the difference of medication adherence among the different personality portraits was explored by analysis of variance. The influencing factors of medication adherence were explored by the ordinal Logistic regression model. Results: In the study, 751 T2DM patients were included. Latent profile analysis showed that the T2DM patients in this study could be divided into four types of personality portraits, including introverted and stable type (42.7%), negative type (12.7%), anxiety type (15.3%) and active and responsible type (29.3%). Among them, 75 patients said that they did not use medicine or insulin, 5 patients were lack of data, and finally 671 patients with T2DM were included in the analysis about medication adherence. The analysis of variance showed that there was no significant difference in medication adherence between anxiety type (5.55±1.65) and negative type (5.94±1.53, P=0.089), but the medication adherence score of anxiety type was significantly lower than that of introverted and stable type (6.17±1.46, P=0.001) and active and responsible type (6.09±1.65, P=0.004). Anxiety type and negative type were seen as a whole in the ordinal Logistic regression model named anxiety and negative type. The results showed that compared with anxiety and negative type, the active and responsible type or introverted and stable type was the protective factor for good medication adherence (OR=1.567, 95%CI: 1.096-2.237; OR=1.774, 95%CI: 1.214-2.591), and the education level also affected the medication adherence. Conclusion: T2DM can be classified into four types of personality portraits based on Big Five personality theory. The anxiety and negative type after the combination of anxiety type and negative type is the independent risk factor for poor medication adherence. In addition, education level is also the influencing factor of medication compliance.

Key words: Type 2 diabetes mellitus, Personality portrait, Big Five personality theory, Medication adherence, Latent profile analysis

CLC Number:

R195.4

CHEN Ping,LI Ze-ming,GUO Yi,SUN Xin-ying,Edwin B. FISHER. To explore medication adherence of patients with type 2 diabetes mellitus using the latent profile analysis based on the Big Five personality theory[J].Journal of Peking University (Health Sciences), 2021, 53(3): 530-535.

Figures/Tables 5

Table 1

Figure 1

Table 2

Table 3

Table 4

References 18

[1]	Li Y, Teng D, Shi X, et al. Prevalence of diabetes recorded in mainland China using 2018 diagnostic criteria from the American Diabetes Association: national cross sectional study[J]. BMJ, 2020,369:m997.
[2]	International Diabetes Federation. IDF diabetes atlas. 9th ed[EB/OL]. (2019-07-14)[2021-02-21]. http://www.diabetesatlas.org.
[3]	李洪超, 官海静, 刘国恩. 我国社区2型糖尿病患者用药依从性影响因素研究[J]. 中国药房, 2019,30(24):3448-3451.
[4]	车源霞. 我院门诊老年糖尿病患者用药依从性差相关因素的调查分析[J]. 中国药房, 2017,28(6):729-732.
[5]	刘洋洋, 张冰, 郑颖, 等. 药学服务对糖尿病患者用药依从性及血糖控制的影响分析[J]. 中国医院药学杂志, 2019,39(23):2437-2440.
[6]	刘秀冬. 用药指导对老年糖尿病患者用药依从性及安全性的影响[J]. 黑龙江医药科学, 2019,42(6):135-136.
[7]	黎泽明, 高敏, 陈雪莹, 等. 2型糖尿病患者大五人格特征与自我管理态度的相关性[J]. 北京大学学报(医学版), 2020,52(3):506-513.
[8]	李丽萍. 2型糖尿病患者自我管理行为在不同人格特质上的干预效果分析[D]. 太原市: 山西医科大学, 2018.
[9]	高敏, 陈雪莹, 孙信, 等. 2型糖尿病患者的抑郁症状与人格特质和运动行为的关系[J]. 中国心理卫生杂志, 2021,35(4):271-276.
[10]	洪秀敏, 刘倩倩. 父母养育压力的类型及其影响因素:基于一孩父母和两孩父母的潜在剖面分析[J]. 中国临床心理学杂志, 2020,28(4):766-772.
[11]	王孟成, 戴晓阳, 姚树桥. 中国大五人格问卷的初步编制Ⅲ:简式版的制定及信效度检验[J]. 中国临床心理学杂志, 2011,19(4):454-457.
[12]	Thurston MM, Bourg CA, Phillips BB, et al. Impact of health literacy level on aspects of medication nonadherence reported by underserved patients with type 2 diabetes[J]. Diabetes Technol Ther, 2015,17(3):187-193. doi: 10.1089/dia.2014.0220
[13]	翁艳君, 赵豫梅, 刘伟军, 等. 中文版8条目Morisky服药依从性量表在2型糖尿病患者中的信效度评价及应用研究[J]. 中华临床医师杂志(电子版), 2018,12(8):445-450.
[14]	王孟成, 毕向阳. 潜变量建模与Mplus 应用:进阶篇[M]. 重庆: 重庆大学出版社, 2018: 13-15.
[15]	Hazrati-Meimaneh Z, Amini-Tehrani M, Pourabbasi A, et al. The impact of personality traits on medication adherence and self-care in patients with type 2 diabetes mellitus: The moderating role of gender and age[J]. J Psychosom Res, 2020,136:110178. doi: S0022-3999(20)30740-6 pmid: 32623192
[16]	Novak JR, Anderson JR, Johnson MD, et al. Does personality matter in diabetes adherence? Exploring the pathways between neuroticism and patient adherence in couples with type 2 diabetes[J]. Appl Psychol Health Well Being, 2017,9(2):207-227. doi: 10.1111/aphw.2017.9.issue-2
[17]	郝晓凤. 门诊老年糖尿病患者用药依从性影响因素调查[J]. 临床医学研究与实践, 2018,3(20):115-116.
[18]	张会君, 孙鹤, 杨璇, 等. 城镇老年高血压患者药物治疗依从性及影响因素[J]. 中国老年学杂志, 2016,36(7):1730-1732.

Metrics

Viewed

Full text

Abstract

Cited

Shared

Discussed

Comments

Recommended 0

No Suggested Reading articles found!

Number of profiles	AIC	BIC	aBIC	Entropy	P value of LMRT
1	25 944.66	25 990.87	25 959.12
2	25 582.64	25 656.58	25 605.77	0.64	<0.001
3	25 392.42	25 494.09	25 424.23	0.70	0.243
4	25 284.08	25 413.48	25 324.57	0.72	0.002
5	25 231.59	25 388.72	25 280.76	0.73	0.168
6	25 191.82	25 376.68	25 249.67	0.75	0.480

Items	Introverted and stable (n=321)	Negative(n=95)	Anxiety(n=115)	Active and responsible (n=220)	F	P
Gender, n(%)					0.558	0.643
Male	147 (45.8)	46 (48.4)	54 (47.0)	113 (51.4)
Female	174 (54.2)	49 (51.6)	61 (53.0)	107 (48.6)
Age/years, n(%)					6.246	<0.001
≤50	20 (6.2)	6 (6.3)	12 (10.4)	14 (6.4)
>50-60	81 (25.2)	27 (28.4)	52 (45.2)	64 (29.1)
>60	220 (68.6)	62 (65.3)	51 (44.4)	142 (64.5)
Education level, n(%)					3.450	0.016
Primary school	43 (13.4)	10 (10.5)	9 (7.8)	20 (9.1)
Middle school	145 (45.2)	51 (53.7)	54 (47.0)	93 (42.3)
High school	85 (26.4)	21 (22.1)	29 (25.2)	57 (26.0)
University/College	48 (15.0)	13 (13.7)	23 (20.0)	42 (19.1)
Graduate school	0	0	0	8 (3.5)
Course of disease/years, n(%)					0.825	0.480
≤5	219 (68.2)	66 (69.5)	79 (68.7)	161 (73.2)
>5-10	81 (25.2)	25 (26.3)	32 (27.8)	51 (23.2)
>10	21 (6.6)	4 (4.2)	4 (3.5)	8 (3.6)
Complications, n(%)					0.466	0.706
Yes	265 (82.6)	76 (80.0)	99 (86.1)	180 (81.8)
No	56 (17.4)	19 (20.0)	16 (13.9)	40 (18.2)
Medical insurance, n(%)
Urban employee	139 (43.3)	42 (44.2)	57 (49.6)	116 (52.7)	1.627	0.182
Urban resident	120 (37.4)	26 (27.4)	33 (28.7)	62 (28.2)	1.448	0.228
New rural cooperative	39 (12.2)	11 (11.6)	11 (9.6)	20 (9.1)	0.560	0.642
Public health care	9 (2.8)	3 (3.2)	2 (1.7)	6 (2.7)	0.161	0.923
Commercial	0	0	0	1 (0.5)	0.792	0.498
Others	2 (0.6)	3 (3.2)	3 (2.6)	5 (2.3)	1.409	0.239
Unclear	12 (3.7)	10 (10.4)	9 (7.8)	10 (4.5)	0.060	0.807
Noncompliance of medication, n(%)	41 (12.8)	8 (8.4)	12 (10.4)	14 (6.7)	1.822	0.142

Personality types	Medication adherence score, $\bar{x} \pm s$	Medication adherence,n(%)
Personality types	Medication adherence score, $\bar{x} \pm s$	Good	Moderate	Worse
Introverted and stable (n=277)	6.17±1.46	51 (18.4)	124 (44.8)	102 (36.8)
Negative (n=86)	5.94±1.53	14 (16.3)	34 (39.5)	38 (44.2)
Anxiety (n=101)	5.55±1.65	7 (6.9)	42 (41.6)	52 (51.5)
Active and responsible (n=207)	6.09±1.65	44 (21.3)	88 (78.7)	75 (36.2)

Variables	β	SE	P	OR	95%CI
Gender
Male	-0.111	0.148	0.455	0.895	0.670-1.197
Female
Age
>60 years old	0.181	0.154	0.241	1.198	0.886-1.623
≤60 years old
Education level
Middle school and lower	0.334	0.151	0.027	1.397	1.039-1.876
Higher than middle school
Course of disease
≤5 years	-0.012	0.328	0.970	0.988	0.519-1.879
>5 years
Personality profile
Active and responsible	0.449	0.182	0.014	1.567	1.096-2.237
Introverted and stable	0.573	0.193	0.003	1.774	1.214-2.591
Negative and anxiety

To explore medication adherence of patients with type 2 diabetes mellitus using the latent profile analysis based on the Big Five personality theory

RICH HTML

PDF (PC)

Abstract

Cite this article

share this article

Figures/Tables 5

References 18

Related Articles 3

Metrics

Comments

Recommended 0

[1]	Lei BAO,Xia-xia CAI,Ming-yuan ZHANG,Lei-lei REN. Effect of vitamin D3 on mild cognitive impairment in type 2 diabetic mice and its possible mechanism [J]. Journal of Peking University (Health Sciences), 2023, 55(4): 587-592.
[2]	Ming-long CHEN,Xiao-han LIU,jing GUO. Relationship between social support and parental burnout in COVID-19 among Chinese young parents [J]. Journal of Peking University (Health Sciences), 2022, 54(3): 520-525.
[3]	Jiang XIE,Fei LI. Association of sleep overlap syndrome with type 2 diabetes in a cross-sectional study [J]. Journal of Peking University(Health Sciences), 2019, 51(2): 252-255.