Relationship of depression and sleep quality, diseases and general characteristics.

BACKGROUND: Depression is the most common type of depressive disorder. The most common sleep disorder associated with depression is insomnia. Insomnia and depression are closely related. AIM: To investigate the relationship of designed questionnaire items and depression, and analyze the related factors with depression.
METHODS: Questionnaire included Patient Health Questionnaire-9 (PHQ-9) and Pittsburgh sleep quality index (PSQI), 12 kinds of diseases, 8 general characteristics, and 20 insomnia characteristics, totally 56 items were filled out by 411 patients enrolled.
RESULTS: All the 9 items of PHQ-9, 6 components of PSQI (except sleep duration), education, living situation, exercise, years of insomnia, western medicine treatment, Chinese medicine treatment, psychotherapy, kinds of insomnia, treatment expected to treat insomnia, psychological counseling, habit of 1 h before bed, habit of lunch break, diagnosed depression, coronary heart disease, mental illness showed significant difference between without and with depression group. By univariate analysis and multivariate analysis. The odds ratio of education, exercise, kinds of insomnia, habit of 1 h before bed, diagnosed depression, coronary heart disease (P = 0.01) showed significant difference. Their odds ratios were 0.71 (0.55, 0.93), 2.09 (1.32, 3.31), 0.76 (0.63, 0.91), 0.89 (0.81, 0.98), 0.32 (0.17, 0.60), 0.43 (0.23, 0.79).
CONCLUSION: We demonstrated that education, exercise, kinds of insomnia, habit of 1 h before bed, diagnosed depression and coronary heart disease affect the depression. ©The Author(s) 2022. Published by Baishideng Publishing Group Inc. All rights reserved.

Core Tip: Depression is the most common type of depressive disorder, manifesting as single or repeated episodes, with a high risk of recurrence. Depression affects the functions of the energy and digestive system and can also lead to varying degrees of sleep difficulties, insomnia, sleep arousal and other sleep disorders. In this study, we aimed to evaluate the related factor with depression, to provide theoretical support for detection and depression therapy.

INTRODUCTION

Depression is the most common type of depressive disorder, manifesting as single or repeated episodes, with a high risk of recurrence. There can be significant emotional, cognitive, and physical symptoms during episodes, and symptoms can resolve between episodes[1]. The main clinical manifestation is depression, which is not commensurate with the situation. It can range from sullenness to grief and even stupor. Some patients will have obvious anxiety and motor agitation. In severe cases, psychotic symptoms such as hallucinations and delusions may occur. Some patients suffer from self-injury, suicidal behavior, and even death[2]. With the accelerating pace of society, study pressure, work pressure, and life pressure increase, and the incidence of depression shows a significant upward trend. Depression has become the most important cause of the ten causes of disability-adjusted life years in every country in the world. The lifetime prevalence of depression is estimated to be 5% among adults[3,4]. Depressive disorders have a high prevalence and high disease burden, but the treatment rates are low, with less than 10% of these patients receiving effective treatment in many countries; however, the medical prevention and treatment of depression in China still has a low recognition rate[5]. Hospitals above the prefecture-level city have a recognition rate of less than 20%, and less than 10% of patients receive relevant drug treatment. At the same time, the incidence of depression has begun to show a trend of younger age (college and even primary and secondary school students). The popularization, prevention and treatment of depression need urgent attention[6].

Depression affects the functions of the energy and digestive system and can also lead to varying degrees of sleep difficulties, insomnia, sleep arousal and other sleep disorders. Changes in sleep are one of the diagnostic criteria for depression. The probability of sleep disturbance in patients with depression is as high as 70%, which manifests as insomnia, lethargy, nightmares and disturbance of the sleep-wake cycle[7]. The most common sleep disorder associated with depression is insomnia. Insomnia and depression are closely related and share a bidirectional relationship with each other[8]. Insomnia is a demonstrated and a relative risk factor for depression. Treatment can improve or prevent major depressive episodes. The early identification of insomnia may also improve the outcomes of depression[9]. Insomnia and depression are heterogeneous processes, and the diagnostic components of insomnia and depression are likely to lead to translational progress at their nexus[10,11]. Studies have shown that poor sleep quality can lead to a decline in executive function, making it difficult to avoid negative thoughts, increasing nighttime unpleasantness, and triggering rumination, and repeated negative thoughts lead to increased suicide risk. In addition to insomnia, depressive patients may also experience somnolence during the course of the disease. Approximately 7%-8% of patients with major depressive disorder have somnolence and excessive sleep time, and approximately 25% of patients have both insomnia and somnolence[12]. More severe depression has now been shown to be associated with higher rates of substance use disorder and suicide attempts[13]. In addition, general characteristics, such as marital status and smoking, can affect subjective sleep quality. The relationship between marital status and sleep in women with depression showed that marital status was related to sleep efficiency. Married women had better sleep quality and significantly lower sleep delay than unmarried women. Compared with divorced or widowed patients, married depressed patients had better sleep quality; the stress of marriage breakdown and the loss of a partner had an important impact on sleep, and the occurrence of an unhappy marriage and depressive symptoms caused changes in physical function, causing alcoholism and lack of sleep[14]. Smokers were reported to have more severe sleep problems than nonsmokers. Nicotine patches led to abnormal sleep, a lack of sleep, shortened sleep latency, and reduced nighttime sleep[15].

In our study, by the questionnaire designed by our team, which included a total of 56 items, we aimed to investigate the relationship between the designed questionnaire items and depression and analyze the factors related to depression.

MATERIALS AND METHODS

Study subjects

With written informed consent, this study was approved by the Fuxing Hospital affiliated with the Capital Medical University Institution Review Board. A total of 424 patients with insomnia in Yuetan Community Health Service Center and its subordinate community health service stations were enrolled as the research subjects in our study. Thirteen patients were excluded because they did not have a qualified questionnaire. Finally, 411 patients were included for further analysis. The inclusion criteria included the following items: (1) Patients who met the diagnostic points of nonorganic insomnia: their main complaints were difficulty falling asleep, difficulty maintaining sleep, or poor sleep quality; this sleep disorder occurred at least three times a week and lasted for one month or more. Focusing on sleep day and night, worrying too much about the consequences of insomnia, and dissatisfaction with sleep quantity and/or quality causes obvious distress or affects social and occupational functions. This criterion was met as long as dissatisfaction with the quantity and/or quality of sleep was the patient's only complaint; (2) Patients who had contacted their family doctor; and (3) Patients aged between 40 and 70 years old. The exclusion criteria included the following items: (1) Patients with insomnia as only one of multiple symptoms of a mental disorder or physical condition were excluded; insomnia was limited to the main mental or physical disorder; and (2) Patients with severe mental disorder were excluded.

The Patient Health Questionnaire-9 (PHQ-9) and the Pittsburgh Sleep Quality Index (PSQI) were included in our questionnaires. In addition, the questionnaires also included 12 kinds of diseases, including diagnosed depression, chronic diseases, high blood pressure, diabetes, coronary heart disease, cerebrovascular disease, enlarged prostate, cancer, mental illness, tuberculosis, chronic hepatitis, and cirrhosis. Eight general characteristics, including sex, age, education level, marital status, living situation, occupational status, income (yuan) per month and exercise, were analyzed. The percentage of sex, education level, marital status, living situation, occupational status, income (yuan) per month and exercise. The 20 insomnia characteristics included the following: years of insomnia; Western medicine treatmen; Chinese medicine treatment; psychotherapy; kind of insomnia; events related to insomnia; treatment expected to treat insomnia; traditional Chinese medicine foot baths; acupressure; psychological counseling; medicated diet; Tai Chi; traditional Chinese medicine; other traditional Chinese medicines; habit of 1 h before bed; habit of drinking tea; habit of drinking coffee; habit of drinking spirits; habit of smoking; and habit of taking a lunch break.

Survey method and quality control

Questionnaires designed by our study team were distributed to respondents by uniformly trained investigators, and the relevant contents of the questionnaires were explained to the respondents face-to-face. Then, the questionnaires were investigated and completed. After taking back the questionnaires, unqualified questionnaires with missing items were eliminated, and valid questionnaires were sorted and numbered. Quality control was carried out at the stages of data collection, data collation and result analysis. The questionnaires were completed by trained investigators instructing the subjects one-on-one. Data were entered and reviewed by trained personnel to ensure the accuracy of data entry.

Depression severity degree assessed by the PHQ-9

The PHQ-9 consists of 9 items as follows: "little interest or pleasure in doing things”; “feeling down, depressed, or hopeless”; “trouble falling or staying asleep, or sleeping too much”; “feeling tired or having little energy”; “poor appetite or overeating”; “feeling bad about yourself or that you are a failure or have let yourself or your family down”; “trouble concentrating on things, such as reading the newspaper or watching television”; “moving or speaking so slowly that other people could have noticed or being so fidgety or restless that you have been moving a lot more than usual”; and “thoughts that you would be better off dead, or thoughts of hurting yourself in some way”. This questionnaire was used to evaluate depression and grade the severity of symptoms[16]. Higher PHQ-9 scores are related to decreased functional status and increased symptom-related difficulties. A PHQ-9 score of 0–4 represents no depression. Scores of 5–9 represent mild depression, 10–14 represent moderate depression, and 15–19 represent moderately severe depression. Scores of 20–27 represent severe depression.

Sleep quality assessed by the PSQI

The PSQI was used to assess the sleep quality of the subjects in the last month. It consists of 19 self-assessment items and 5 other assessment items, of which the 19th self-assessment item and the 5 other assessment items are not included in the scoring. Only the remaining 18 self-assessment items are included in the scoring. The 18 items consist of the following 7 components: subjective sleep, sleep latency, sleep duration, habitual sleep efficiency, sleep disturbances, use of sleep medications, and daytime dysfunction; each component is scored on a scale of 0 to 3. The cumulative score of each component is the total PSQI score, and the total score ranges from 0 to 21. The higher the score, the worse the sleep quality. It took the subjects 5 to 10 minutes to complete the questionnaire. Scores of 0–5 represent that sleep quality is very good; scores of 6–10 represents that sleep quality is okay; scores of 11–15 represent that sleep quality is average; and scores of 16–21 represent that sleep quality is poor[17].

Statistical analysis

SPSS 22.0 was used for data analysis. Excel and GraphPad Prism were used to draw the figures. Measurement data are expressed as the mean ± SD. Count data are expressed as n (%). The measurement data that conformed to a normal distribution were compared by two independent sample t tests or analysis of variance; the measurement data that did not conform to a normal distribution were compared by the rank sum test. Count data were compared by the χ2 test. Principal component analysis (PCA) was used to analyze the contributing rate to depression. The correlation between the 9 PHQ-9 items was analyzed by Pearson correlation regression. Univariate and multivariate logistic regression was used to analyze the factors significantly associated with depression. A P < 0.05 was considered a statistically significant difference.

RESULTS

Relationship of the PHQ-9 items and depression

According to their PHQ-9 scores, the individuals enrolled in our study were divided into a without depression group (n = 190) and a depression group (n = 221), which included mild (n = 139), moderate (n = 49), moderately severe (n = 22), and severe depression (n = 11). First, the 9 items, including “little interest or pleasure in doing things” (Item 1), “feeling down, depressed, or hopeless” (Item 2), “trouble falling or staying asleep, or sleeping too much” (Item 3), “feeling tired or having little energy” (Item 4), “poor appetite or overeating” (Item 5), “feeling bad about yourself or that you are a failure or have let yourself or your family down” (Item 6), “trouble concentrating on things, such as reading the newspaper or watching television” (Item 7), “moving or speaking so slowly that other people could have noticed, or so fidgety or restless that you have been moving a lot more than usual” (Item 8), and “thoughts that you would be better off dead, or thoughts of hurting yourself in some way” (Item 9), were compared between the without depression group and with depression group. As shown in Figure 1, the 9 items in the without depression group and with depression group were compared, and all 9 items showed significant differences (P < 0.001). Then, the 9 items were compared for the mild depression, moderate depression, moderately severe depression, and severe depression groups, as shown in Table 1. All 9 items also showed significant differences (P < 0.001). PCA was used to analyze the 9 items contributing to depression. As shown in Figure 2, the contributing rates of Items 1-9 were 36.00%, 15.59%, 9.96%, 9.09%, 7.32%, 6.18%, 5.94%, 5.40% and 4.53%, respectively. This item contributed the most to the depression analysis. In addition, the correlation coefficients of the 9 items were also analyzed. As shown in Figure 3, Item 7 and Item 8 showed the highest positive correlation coefficient, which was 0.585, but Item 7 and Item 3 showed the highest negative correlation coefficient, which was -0.033.

Figure 1

Comparison of the 9 items of Patient Health Questionnaire-9 in the without depression group and with depression group.

Table 1

Relationship of Patient Health Questionnaire-9 items and depression

PHQ-9 item	Score	Mild (n = 139)		Moderate (n = 49)		Moderately severe (n = 22)		Severe (n = 11)
		n	Percent	n	Percent	n	Percent	n	Percent
Item 1	0	32	23.02	2	4.08	0	0.00	0	0.00
	1	67	48.20	11	22.45	5	22.73	1	9.09
	2	36	25.90	27	55.10	10	45.45	2	18.18
	3	4	2.88	9	18.37	7	31.82	8	72.73
Item 2	0	62	44.60	8	16.33	1	4.55	0	0.00
	1	62	44.60	14	28.57	4	18.18	0	0.00
	2	15	10.79	24	48.98	14	63.64	3	27.27
	3	0	0.00	3	6.12	3	13.64	8	72.73
Item 3	0	10	7.19	0	0.00	0	0.00	1	9.09
	1	41	29.50	12	24.49	2	9.09	0	0.00
	2	52	37.41	19	38.78	9	40.91	1	9.09
	3	36	25.90	18	36.73	11	50.00	9	81.82
Item 4	0	17	12.23	3	6.12	0	0.00	0	0.00
	1	66	47.48	9	18.37	1	4.55	0	0.00
	2	48	34.53	28	57.14	10	45.45	1	9.09
	3	8	5.76	9	18.37	11	50.00	11	100.00
Item 5	0	69	49.64	10	20.41	3	13.64	0	0.00
	1	49	35.25	20	40.82	5	22.73	3	27.27
	2	19	13.67	17	34.69	7	31.82	1	9.09
	3	2	1.44	2	4.08	7	31.82	7	63.64
Item 6	0	102	73.38	16	32.65	2	9.09	2	18.18
	1	32	23.02	24	48.98	5	22.73	0	0.00
	2	4	2.88	9	18.37	10	45.45	1	9.09
	3	1	0.72	0	0.00	5	22.73	8	72.73
Item 7	0	85	61.15	15	30.61	1	4.55	0	0.00
	1	44	31.65	17	34.69	2	9.09	1	9.09
	2	9	6.47	14	28.57	12	54.55	2	18.18
	3	1	0.72	3	6.12	7	31.82	8	72.73
Item 8	0	105	75.54	17	34.69	6	27.27	0	0.00
	1	28	20.14	25	51.02	5	22.73	0	0.00
	2	5	3.60	6	12.24	9	40.91	3	27.27
	3	1	0.72	1	2.04	2	9.09	8	72.73
Item 9	0	134	96.40	40	81.63	13	59.09	3	27.27
	1	5	3.60	7	14.29	5	22.73	5	45.45
	2	0	0.00	2	4.08	2	9.09	1	9.09
	3	0	0.00	0	0.00	2	9.09	2	18.18

PHQ-9: Patient Health Questionnaire-9.

Figure 2

The contributing rate of 9 items of Patient Health Questionnaire-9 to depression (%).

Figure 3

The correlation coefficient of the 9 items of Patient Health Questionnaire-9.

Relationship of the PSQI components and depression

As shown in Table 2, the 7 PSQI components, which were subjective sleep, sleep latency, sleep duration, habitual sleep efficiency, sleep disturbances, use of sleep medications, and daytime dysfunction, were compared for the without depression group (n = 190) and the with depression group (n = 221), which included mild (n = 139), moderate (n = 49), moderately severe (n = 22), and severe depression (n = 11). After comparison, subjective sleep (P < 0.001), sleep latency (P < 0.001), habitual sleep efficiency (P = 0.001), sleep disturbances (P < 0.001), use of sleep medications (P = 0.001), and daytime dysfunction (P < 0.001) showed significant differences between the depression groups; however, sleep duration showed no significant difference (P = 0.054). As shown in Figure 4, the mean PSQI scores in the without depression group (n = 190), mild depression group (n = 139), moderate depression group (n = 49), moderately severe depression group (n = 22), and severe depression group (n = 11) were 8.58, 10.63, 11.61, 13.41 and 15.00, respectively. With the progression of depression severity, the PSQI score also showed a significant increase (P < 0.001). In addition, the degrees of depression for the very good sleep quality (0-5), okay sleep quality (6-10), average sleep quality (11-15), and poor sleep quality (16-21) groups were also analyzed. As shown in Figure 5, for the 0–5 and 6–10 sleep quality groups, the percentages of the without depression group (n = 190), mild depression group (n = 139), moderate depression group (n = 49), moderately severe depression group (n = 22), and severe depression group (n = 11) were 16.84%, 8.63%, 0%, 0%, 0% and 58.95%, 40.29%, 38.78%, 13.64%, 0%, respectively. The percentage of depression degree de-escalated. In the 11–15 and 16–20 sleep quality groups, the percentages of the without depression group (n = 190), mild depression group (n = 139), moderate depression group (n = 49), moderately severe depression group (n = 22), and severe depression group (n = 11) were 1.58%, 5.04%, 16.33%, 18.18%, 27.27% and 22.63%, 46.04%, 44.90%, 68.18%, 72.73%, respectively. The percentage of depression degree escalated.

Table 2

Relationship of Pittsburgh sleep quality index components and depression

PSQI index	Score	Without (n = 190)		With (n = 221)		Mild (n = 139)		Moderate (n = 49)		Moderately severe (n = 22)		Severe (n = 11)
		n	Percent	n	Percent	n	Percent	n	Percent	n	Percent	n	Percent
Subjective sleep quality	0	0	0.00	3	1.36	2	1.44	1	2.04	0	0.00	0	0.00
	1	87	45.79	27	12.22	22	15.83	4	8.16	1	4.55	0	0.00
	2	94	49.47	146	66.06	94	67.63	33	67.35	11	50.00	8	72.73
	3	9	4.74	45	20.36	21	15.11	11	22.45	10	45.45	3	27.27
Sleep latency	0	9	4.74	8	3.62	3	2.16	4	8.16	1	4.55	0	0.00
	1	52	27.37	31	14.03	23	16.55	5	10.20	3	13.64	0	0.00
	2	77	40.53	69	31.22	45	32.37	13	26.53	8	36.36	3	27.27
	3	52	27.37	113	51.13	68	48.92	27	55.10	10	45.45	8	72.73
Sleep duration	0	46	24.21	39	17.65	27	19.42	6	12.24	4	18.18	2	18.18
	1	62	32.63	68	30.77	42	30.22	19	38.78	4	18.18	3	27.27
	2	59	31.05	60	27.15	39	28.06	13	26.53	8	36.36	0	0.00
	3	23	12.11	54	24.43	31	22.30	11	22.45	6	27.27	6	54.55
Habitual sleep efficiency	0	64	33.68	48	21.72	34	24.46	10	20.41	3	13.64	1	9.09
	1	44	23.16	42	19.00	27	19.42	10	20.41	4	18.18	1	9.09
	2	41	21.58	48	21.72	28	20.14	12	24.49	4	18.18	4	36.36
	3	41	21.58	83	37.56	50	35.97	17	34.69	11	50.00	5	45.45
Sleep disturbances	0	3	1.58	2	0.90	1	0.72	1	2.04	0	0.00	0	0.00
	1	154	81.05	135	61.09	99	71.22	25	51.02	8	36.36	3	27.27
	2	32	16.84	79	35.75	37	26.62	22	44.90	13	59.09	7	63.64
	3	1	0.53	5	2.26	2	1.44	1	2.04	1	4.55	1	9.09
Use of sleeping medications	0	85	44.74	90	40.72	63	45.32	19	38.78	6	27.27	2	18.18
	1	28	14.74	15	6.79	9	6.47	4	8.16	1	4.55	1	9.09
	2	43	22.63	40	18.10	32	23.02	8	16.33	0	0.00	0	0.00
	3	34	17.89	76	34.39	35	25.18	18	36.73	15	68.18	8	72.73
Daytime dysfunction	0	161	84.74	94	42.53	71	51.08	18	36.73	5	22.73	0	0.00
	1	27	14.21	84	38.01	53	38.13	18	36.73	9	40.91	4	36.36
	2	2	1.05	37	16.74	14	10.07	12	24.49	6	27.27	5	45.45
	3	0	0.00	6	2.71	1	0.72	1	2.04	2	9.09	2	18.18

PSQI: Pittsburgh sleep quality index.

Figure 4

The mean Pittsburgh sleep quality index score. The mean Pittsburgh sleep quality index score in the without depression group (n = 190), mild (n = 139), moderate (n = 49), moderately severe depression (n = 22), and severe depression (n = 11) was 8.58, 10.63, 11.61, 13.41 and 15.00. PSQI: Pittsburgh sleep quality index.

Figure 5

The percentage of Pittsburgh sleep quality index group. The percentage of Pittsburgh sleep quality index group in without depression group (n = 190), mild (n = 139), moderate (n = 49), moderately severe depression (n = 22), and severe depression (n = 11).

Comparison of disease status between the without depression and with depression groups

As shown in Table 3, the disease status of the without depression and with depression groups was analyzed. Twelve kinds of diseases, including diagnosed depression, chronic diseases, high blood pressure, diabetes, coronary heart disease, cerebrovascular disease, enlarged prostate, cancer, mental illness, tuberculosis, chronic hepatitis, and cirrhosis, were compared between the without depression and with depression groups. Diagnosed depression (P < 0.001), coronary heart disease (P = 0.03), and mental illness (P = 0.01) showed significant differences between the two groups. The percentages of diagnosed depression in the without depression and with depression groups were 8.95% and 23.53%, respectively. The percentages of coronary heart disease and mental illness in the two groups were 11.05% and 19.00%, and 0.53% and 5.43%, respectively. The other 9 kinds of diseases, including chronic diseases, high blood pressure, diabetes, cerebrovascular disease, enlarged prostate, cancer, tuberculosis, chronic hepatitis, and cirrhosis, showed no significant differences (P > 0.05).

Table 3

Comparison of diseases status between without depression and with depression groups, n (%)

Diseases	Status	Without depression	With depression	P value
Diagnosed depression	Yes	17 (8.95)	52 (23.53)	< 0.001
	No	173 (91.05)	169 (76.47)
Chronic diseases	Yes	60 (31.58)	68 (30.77)	0.86
	No	130 (68.42)	153 (69.23)
High blood pressure	Yes	100 (52.63)	114 (51.58)	0.83
	No	90 (47.37)	107 (48.42)
Diabetes	Yes	49 (25.79)	58 (26.24)	0.92
	No	141 (74.21)	163 (73.76)
Coronary heart disease	Yes	21 (11.05)	42 (19)	0.03
	No	169 (88.95)	179 (81)
Cerebrovascular disease	Yes	14 (7.37)	25 (11.31)	0.17
	No	176 (92.63)	196 (88.69)
Enlarged prostate	Yes	9 (4.74)	14 (6.33)	0.48
	No	181 (95.26)	207 (93.67)
Cancer	Yes	6 (3.16)	8 (3.62)	0.80
	No	184 (96.84)	213 (96.38)
Mental illness	Yes	1 (0.53)	12 (5.43)	0.01
	No	189 (99.47)	209 (94.57)
Tuberculosis	Yes	0 (0)	1 (0.45)	0.35
	No	190 (100)	220 (99.55)
Chronic hepatitis	Yes	1 (0.53)	3 (1.36)	0.39
	No	189 (99.47)	218 (98.64)
Cirrhosis	Yes	3 (1.58)	2 (0.9)	0.53
	No	187 (98.42)	219 (99.1)

Comparison of general characteristics between the without depression and with depression groups

Eight general characteristics, including sex, age, education, marital status, living situation, occupational status, income (yuan) per month and exercise, were analyzed. The percentages of sex, education level, marital status, living situation, occupational status, income (yuan) per month and exercise in the without depression and with depression groups were compared by the chi-square test. As shown in Table 4, age was compared by the independent t test. Education level (P = 0.04), living situation (P=0.002), and exercise (P < 0.001) showed significant differences between the two groups. The other 5 general characteristics showed no significant differences (P > 0.05). The most significant general characteristic was exercise; the percentages in the without depression and with depression groups were 78.95% and 62.44%, respectively. The percentages of elementary school education and below, junior high school education, secondary school or high school education, university education and above in the two groups were 1.05%, 13.16%, 38.42%, 47.37% and 1.81%, 23.53%, 29.86%, 44.80%, respectively. The percentages of living alone, living with a husband or wife, living with children, and others in the two groups were 5.79%, 59.47%, 32.11%, and 2.63% and 16.29%, 50.68%, 27.15%, and 5.88%, respectively.

Table 4

Comparison of general characteristics between without depression and with depression groups, n (%)

Characteristics	Status	Without depression	With depression	P value
Gender	Male	51 (26.84)	55 (24.89)	0.65
	Female	139 (73.16)	166 (75.11)
Age (yr)		59.36 ± 7.46	59.66 ± 8.36	0.71
Education	Elementary school and below	2 (1.05)	4 (1.81)	0.04
	Junior high school	25 (13.16)	52 (23.53)
	Secondary school or high school	73 (38.42)	66 (29.86)
	University and above	90 (47.37)	99 (44.8)
Marital status	Unmarried	6 (3.16)	10 (4.52)	0.05
	Married	170 (89.47)	178 (80.54)
	Divorced	5 (2.63)	18 (8.14)
	Widowed	9 (4.74)	15 (6.79)
Living situation	Living alone	11 (5.79)	36 (16.29)	0.002
	Live with husband or wife	113 (59.47)	112 (50.68)
	Live with children	61 (32.11)	60 (27.15)
	Other	5 (2.63)	13 (5.88)
Occupational	On-the-job	55 (28.95)	49 (22.17)	0.29
	Retire	130 (68.42)	166 (75.11)
	Unemployed	5 (2.63)	6 (2.71)
Income (yuan)	0-2000	4 (2.11)	9 (4.07)	0.09
	2000-4000	53 (27.89)	81 (36.65)
	4000-6000	71 (37.37)	78 (35.29)
	≥ 6000	62 (32.63)	53 (23.98)
Exercise	Yes	150 (78.95)	138 (62.44)	< 0.001
	No	40 (21.05)	83 (37.56)

Comparison of insomnia-related characteristics between the without depression and with depression groups

Years of insomnia, Western medicine treatment, Chinese medicine treatment, psychotherapy, kind of insomnia, events related to insomnia, treatment expected to treat insomnia, traditional Chinese medicine foot baths, acupressure, psychological counseling, medicated diet, Tai Chi, traditional Chinese medicine, other traditional Chinese medicines, habit of 1 h before bed, habit of drinking tea, habit of drinking coffee, habit of drinking spirits, habit of smoking, and habit of taking a lunch break were analyzed. As shown in Table 5, among the 20 insomnia-related characteristics, years of insomnia (P < 0.001), Western medicine treatment (P = 0.02), Chinese medicine treatment (P < 0.001), psychotherapy (P = 0.002), kind of insomnia (P < 0.001), treatment expected to treat insomnia (P < 0.001), psychological counseling (P < 0.001), habit of 1 h before bed (P < 0.001), and habit of taking a lunch break (P < 0.001) showed significant differences between the two groups. The other 11 characteristics showed no significant differences (P > 0.05). The years of insomnia in the without depression and with depression groups were 5.21 ± 6.06 years and 7.35 ± 7.48 years, respectively.

Table 5

Comparison of insomnia related characteristics between without depression and with depression groups, n (%)

Indicator	Status	Without depression	With depression	P value
Years of insomnia		5.21 ± 6.06	7.35 ± 7.48	< 0.001
Western medicine treatment	Yes	102 (53.68)	143 (64.71)	0.02
	No	88 (46.32)	78 (35.29)
Chinese medicine treatment	Yes	82 (43.16)	143 (64.71)	< 0.001
	No	108 (56.84)	78 (35.29)
Psychotherapy	Yes	6 (3.16)	25 (11.31)	0.002
	No	184 (96.84)	196 (88.69)
Kinds of insomnia	Difficult to fall asleep	89 (46.84)	140 (63.35)	< 0.001
	Difficult to deep sleep	20 (10.53)	16 (7.24)
	Easy to wake up	53 (27.89)	36 (16.29)
	Wake up early	28 (14.74)	29 (13.12)
Events related to insomnia	Work pressure	42 (22.11)	40 (18.1)	0.10
	Family life	58 (30.53)	66 (29.86)
	Disease related	49 (25.79)	82 (37.1)
	Sleep environment	37 (19.47)	31 (14.03)
	Interpersonal communication	4 (2.11)	2 (0.9)
Treatment expected to treat insomnia	Western medicine	53 (27.89)	36 (16.29)	< 0.001
	Traditional Chinese Medicine	97 (51.05)	133 (60.18)
	Psychotherapy	14 (7.37)	36 (16.29)
	Other	26 (13.68)	16 (7.24)
Traditional Chinese medicine foot bath	Yes	50 (26.32)	49 (22.17)	0.33
	No	140 (73.68)	172 (77.83)
Acupressure	Yes	51 (26.84)	50 (22.62)	0.32
	No	139 (73.16)	171 (77.38)
Psychological counseling	Yes	1 (0.53)	19 (8.6)	< 0.001
	No	189 (99.47)	202 (91.4)
Medicated diet	Yes	16 (8.42)	28 (12.67)	0.17
	No	174 (91.58)	193 (87.33)
Tai Chi	Yes	11 (5.79)	5 (2.26)	0.07
	No	179 (94.21)	216 (97.74)
Traditional Chinese medicine	Yes	93 (48.95)	120 (54.3)	0.28
	No	97 (51.05)	101 (45.7)
Other traditional Chinese medicine	Yes	17 (8.95)	16 (7.24)	0.53
	No	173 (91.05)	205 (92.76)
Habit of 1 hour before bed	Electronic products	79 (41.58)	125 (56.56)	< 0.001
	Reading news or papers	31 (16.32)	22 (9.95)
	Chat	7 (3.68)	10 (4.52)
	Fitness	0 (0)	1 (0.45)
	None	12 (6.32)	26 (11.76)
	Watch TV	61 (32.11)	37 (16.74)
Habit of drinking tea	Yes	57 (30)	81 (36.65)	0.16
	No	133 (70)	140 (63.35)
Habit of drinking coffee	Yes	38 (20)	35 (15.84)	0.27
	No	152 (80)	186 (84.16)
Habit of drinking spirits	Yes	3 (1.58)	10 (4.52)	0.09
	No	187 (98.42)	211 (95.48)
Habit of smoking	Yes	24 (12.63)	19 (8.6)	0.18
	No	166 (87.37)	202 (91.4)
Habit of lunch break	Yes	52 (27.37)	82 (37.1)	< 0.001
	No	138 (72.63)	139 (62.9)

Logistic analysis of depression and the significant characteristics

After comparing the disease status, general characteristics, and insomnia-related characteristics between the without depression and with depression groups, education level, living situation, exercise, years of insomnia, Western medicine treatment, Chinese medicine treatment, psychotherapy, kind of insomnia, treatment expected to treat insomnia, psychological counseling, habit of 1 h before bed, habit of taking a lunch break, diagnosed depression, coronary heart disease, and mental illness, which showed significant differences between the two groups, were further analyzed by logistic regression. As shown in Table 6, by univariate analysis, the ORs of education level (P = 0.02), exercise (P = 0.02), kind of insomnia (P = 0.01), habit of 1 h before bed (P = 0.04), diagnosed depression (P = 0.03), and coronary heart disease (P = 0.02) showed significant differences. Their odds ratios (ORs) were 0.71 (0.54, 0.94), 1.81 (1.11, 2.95), 0.79 (0.65, 0.95), 0.90 (0.81, 1.00), 0.48 (0.24, 0.94), and 0.46 (0.25, 0.86), respectively. Then, the characteristics that showed significant differences in the univariate analysis were further analyzed by multivariate analysis. The ORs of education level (P = 0.01), exercise (P < 0.001), kind of insomnia (P < 0.001), habit of 1 h before bed (P = 0.02), diagnosed depression (P < 0.001), and coronary heart disease (P = 0.01) were significantly different. Their ORs were 0.71 (0.55, 0.93), 2.09 (1.32, 3.31), 0.76 (0.63, 0.91), 0.89 (0.81, 0.98), 0.32 (0.17, 0.60), and 0.43 (0.23, 0.79), respectively.

Table 6

Logistic analysis of depression and the significant characteristics

Characteristics	Univariate analysis					Multivariate analysis
	Wals	P value	OR	95% CI of OR		Wals	P value	OR	95% CI of OR
				Lower	Upper				Lower	Upper
Education	5.58	0.02	0.71	0.54	0.94	6.08	0.01	0.71	0.55	0.93
Living situation	0.38	0.54	0.91	0.67	1.23
Exercise	5.63	0.02	1.81	1.11	2.95	9.89	< 0.001	2.09	1.32	3.31
Years of insomnia	3.40	0.07	1.03	1.00	1.07
Western medicine treatment	1.05	0.31	0.79	0.50	1.24
Chinese medicine treatment	0.70	0.40	1.20	0.78	1.82
Psychotherapy	1.30	0.25	0.53	0.18	1.57
Kinds of insomnia	5.95	0.01	0.79	0.65	0.95	8.79	< 0.001	0.76	0.63	0.91
Treatment expected to treat insomnia	0.74	0.39	1.12	0.87	1.44
Psychological counseling	2.96	0.09	0.15	0.02	1.30
Habit of 1 hour before bed	3.97	0.04	0.90	0.81	1.00	5.48	0.02	0.89	0.81	0.98
Habit of lunch break	0.12	0.73	1.08	0.68	1.71
Diagnosed depression	4.64	0.03	0.48	0.24	0.94	12.94	< 0.001	0.32	0.17	0.60
Coronary heart disease	5.91	0.02	0.46	0.25	0.86	7.43	0.01	0.43	0.23	0.79
Mental illness	2.87	0.09	0.16	0.02	1.34

OR: Odds ratio.

DISCUSSION

Education level was a protective factor against depression and the OR was 0.71 (0.55, 0.93). Studies have found that academic achievement can influence employment, health care, and social communication[18-20]. The relationship between depression and academic achievement has drawn increasing attention. An overall negative association between depression and academic achievement for both sexes was demonstrated. Several studies have examined the associations between depression and academic achievement[21,22]. Our study results were consistent with these studies. People with higher education levels have good learning abilities, receive health-related knowledge, and have stronger abilities to cope with and solve problems, which may have a positive effect on obtaining better sleep quality. Some studies have shown that the number of years of education were associated with the recurrence of depression, and the shorter the years of education, the greater the possibility of depression recurrence[23,24]. Considering that years of education indirectly affect the sleep quality of patients through depressive symptoms, the relationship among the three factors needs to be further explored. There are some opposite results between depression and education level. On the one hand, educational attainment protects individuals from depression and improves their symptoms; however, individuals with higher education levels are more likely to suffer severe and recurrent episodes of major depression than individuals with low levels of education[25,26].

In our study, patients who did not exercise had an OR of 2.09 (1.32, 3.31) compared with the patients who did exercise. We demonstrated that exercise was a protective factor against depression. The protective effects of exercise and its mechanism on depression have been demonstrated in many studies[27] and support that physical exercise can reduce depression symptoms in patients[28,29]. In patients with depression (aged 18–60 years) who performed aerobic exercise or stretching exercises, there were significant short-term time effects for improving depression severity[30]. A meta-analysis study including 1452 depression patients found a protective effect on depression, regardless of the mode of exercise[31]. However, there are still some studies that found that there is no protective effect of exercise on treating depression. The provision of advice and encouragement for exercise did not improve the depression therapeutic effect when compared to regular care[32]. In another study, 1-week high cadence cycling did not improve depression symptoms[33]. Recently, exercise was not only used as a single treatment for depression but also an adjunct intervention therapeutic method for depression[34]. When exercise was used as a single therapy method, depression-related symptoms were significantly decreased after moderate aerobic exercise for 8 wk[35]. In addition, exercise was also recognized as an intervention with significant effects that can be used as an adjuvant therapy for depression[36]. The mechanisms underlying the antidepressant effects of exercise are closely related to psychological and physiological factors. Psychosocial and cognitive factors after exercise may include self-worth, self-esteem, self-efficacy, self-confidence, sleep quality, and life satisfaction[37-39]. Anti-inflammatory and antioxidant factors (interleukin-18, interleukin-1β, interleukin-6, tumor necrosis factor-α, caspase-1) were also demonstrated to be closely related to depression and anxiety[40-42]. The antidepressant effects of exercise are also related to elevated neurogenesis because of brain-derived neurotrophic factors[43-45].

This study found that the kind of insomnia was related to depression. Patients with major depressive disorder in the community had poor subjective sleep quality, prolonged sleep latency, short sleep duration, low sleep efficiency, sleep disturbances, and impaired daytime functioning[46]. These subjective sleep quality abnormalities were consistent with the objective measurements of sleep[47,48]. Some studies have shown that the polysomnography of patients with major depressive disorder shows that the rapid eye movement latency period is shortened, and the time of the first rapid eye movement period after falling asleep moves forward, which increases the proportion of rapid eye movement sleep and reduces the time of slow wave sleep[49-51]. Possible mechanisms include hyperexcitability of the hypothalamic–pituitary–adrenal axis; a glutamate deficiency, which plays an important role in both depression and sleep regulation; a marked reduction in plasma melatonin levels; alterations in the serotonergic system; and some increases in systemic markers of inflammation. The sleep quality of people with depression disorder in the past is different from that of the normal population[51,52]. The depressive symptoms disappear, but their sleep problems still persist. Some people think that persistent sleep disorder is a manifestation of the residual period of major depressive disorder. Depressive symptoms in patients with previous depressive disorder were not related to current sleep quality, while residence, years of education, work status and mental health were significantly correlated with sleep quality in patients with a previous depressive disorder[53,54]. Depressed patients living in rural areas were twice as likely to have good sleep quality compared with patients with previous depressive disorders living in urban areas. In our study, the absence of coronary heart disease was also demonstrated to be a protective factor against depression. Recently, the relationship between coronary heart disease and depression has received increased attention[55]. Patients with coronary heart disease are more likely to suffer from depression because they often endure unpleasant symptoms without warning and are required to take many medications for their lifestyle[55], leading to negative emotions such as anxiety or depression[56]. Approximately 20%–30% of patients with heart diseases are diagnosed with anxiety or depression. However, the percentage of patients affected with anxiety and depression was reported to be elevated to 15%–43% during the first 12 mo after an acute cardiac event[55]. Compared to depression, self-reported depression is more strongly related to cardiac morbidity and mortality[57].

Although we systematically analyzed the factors related to depression, including a depression evaluation, a sleep quality evaluation, general characteristics, and diagnosed disease status, there are still some limitations in this study. First, the sample size was relatively small. Some group sample sizes may affect the statistical results and lead to bias in the results. Second, although patients with depression in the past and patients who had been recently diagnosed with depression were enrolled in our study, the sample sizes of the two groups were small, and we did not compare their relative factors. Third, different therapeutic methods for depression were not performed. In our future study, we will perform a study that compares the therapeutic effects of different methods for treating depression.

CONCLUSION

In conclusion, we demonstrated that education level, exercise, kind of insomnia, habit of 1 h before bed, diagnosed depression and coronary heart disease were the factors related to depression, which may provide some implications for the clinical practice of depression.

ARTICLE HIGHLIGHTS

Research background

Depression and sleep quality were demonstrated to be affected each other. In addition, the other factor, including diseases, general and insomnia characteristics also affect depression.

Research motivation

The relationship of depression and sleep quality, diseases and general characteristics and depression should be systemically investigated.

Research objectives

In this study, we aimed to investigate the relationship of depression and sleep quality, diseases and general characteristics.

Research methods

Questionnaire included Patient Health Questionnaire-9 (PHQ-9) and Pittsburgh sleep quality index (PSQI), 12 kinds of diseases, 8 general characteristics, and 20 insomnia characteristics, totally 56 items were filled out by 411 patients enrolled.

Research results

All the 9 items of PHQ-9, 6 components of PSQI (except sleep duration), 12 kinds of diseases, 3 general characteristics, and 9 insomnia characteristics showed significant difference between without and with depression group. By univariate analysis and multivariate analysis. The odds ratio of education, exercise, kinds of insomnia, habit of 1 h before bed, diagnosed depression, coronary heart disease showed significant difference.

Research conclusions

Education, exercise, kinds of insomnia, habit of 1 h before bed, diagnosed depression and coronary heart disease are the related factor with depression.

Research perspectives

Larger sample size and long-time span study should be designed and performed in the future study. Different therapeutic methods for depression should also be performed.