Skip to main content
Erschienen in: BMC Psychiatry 1/2023

Open Access 01.12.2023 | Research

Association of mental health status between self-poisoning suicide patients and their family members: a matched-pair analysis

verfasst von: Wenjing Zheng, Limei Han, Yanna Fan, Min Yi, Xiaoxia Lu, Juan Yang, Xiaobo Peng, Ying Yang

Erschienen in: BMC Psychiatry | Ausgabe 1/2023

Abstract

Background

The objective of this study was to examine the relationship of mental health status between self-poisoning suicide patients and their family members, and it also sought to identify potential patient’s risk and parental factors for the prediction of suicide attempt, anxiety, and depression.

Methods

In this study, 151 poisoned patients were prospectively included, and they were matched 1:1 with 151 family members. We gathered information on patient’s and their matched family member’s demographics, lifestyle choices, mental health status, level of intimacy, and history of psychiatry disease. The relationship of patient’s and their family member’s mental health state was investigated using a correlation matrix. Multivariable analyses (multiple logistic regression) were conducted among patients and their matched family members, to identify potential risk factors for self-poisoning suicide, anxiety, and depression.

Results

Of the total patients, 67.55% (102/151) attempted self-poisoning suicide. Poisoned patients had more severe anxiety and depression symptoms than their matched family members, and this difference was even more pronounced among patients with self-poisoning suicide. Generalized anxiety disorder-7 (GAD-7) score for family members was significantly and favorably correlated with patient’s GAD-7 score after eliminating non-suicide patients and their matched family members. The patient health questionnaire-9 (PHQ-9) score showed a similar pattern, and the family member’s PHQ-9 score was strongly and favorably associated with patient’s PHQ-9 and Beck hopelessness scale-20 (BHS-20) score. Multivariable analysis showed that married marital status (P = 0.038), quitting smoking (P = 0.003), sedentary time of 1 to 6 h (P = 0.013), and participation in a sports more than five times per week (P = 0.046) were all significantly associated with a lower risk of suicide by self-poisoning, while a more serious anxiety state (P = 0.001) was significantly associated with a higher risk of self-poisoning suicide. Multivariable analysis demonstrated that, specifically among self-poisoning suicide patients, married marital status (P = 0.011) and no history of psychiatry disease (P < 0.001) were protective factors for anxiety, while divorced or widowed marital status (P = 0.004), a sedentary time of 1 to 3 h (P = 0.022), and a higher monthly income (P = 0.027) were significant contributors to anxiety. The propensity of additional family-matched characteristics to predict patient’s suicidality, anxiety, and depression was also examined.

Conclusions

Self-poisoning suicide patients have severe mental health issues. Patients who self-poison have a close connection to their family member’s mental health, particularly their levels of anxiety and depression. According to the findings, being married and adopting healthy lifestyle habits, such as quitting smoking and drinking, increasing their physical activity levels, and managing their idle time, are able to help patients with mental health concerns and even suicidal thoughts.
Hinweise

Supplementary Information

The online version contains supplementary material available at https://​doi.​org/​10.​1186/​s12888-023-04779-9.
Wenjing Zheng and Limei Han contributed equally to the paper.

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Abkürzungen
BHS-20
Beck hopelessness scale-20
CI
Confident interval
COVID-19
Corona Virus Disease 2019
GAD-7
Generalized anxiety disorder-7
LL
Lower limit; OR, Odds ratio
PHQ-9
Patient health questionnaire-9
SD
Standard deviation
SES-10
Self-esteem scale-10
Std. Error
Standard error
SSQ-10
Social support questionnaire-10
UL
Upper limit

Background

Around the world, self-poisoning is a frequent method of ending one’s life, and poisoning can be caused by exposure to toxins chemicals, and drug overdoses [1]. It is a serious public health issue that contributes to global morbidity and mortality, particularly in low- and middle-income nations [1]. Self-poisoning is particularly prevalent in China, and a recent study pointed out that self-poisoning was responsible for roughly 60% of suicides [2]. In addition, both the prevalence and rate of suicide attempts using self-poisoning are dramatically rising among young people [3, 4].
Based on epidemiological and toxicological data, it was determined that national restrictions on harmful pesticides were an effective strategy for preventing suicide by pesticides intake [5, 6]. Even so, illicit drugs and medically prescribed drugs, such as psychotropic drugs, sedative-hypnotics, analgesics, and antidepressants [7], are still readily accessible and can be the most frequently misused drugs [8]. Identification of risk and protective factors is a crucial component of national suicide prevention since it helps to further understand the kind and type of preventive actions needed. Risk factors can occur on a variety of scales, including the individual, sociocultural, and situational, and numerous factors have been linked to increased self-poisoning, including borderline personality disorder or traits [9, 10], alcohol use disorder [9], depressive disorder [9], substance abuse [11, 12], asthma [11], fewer social connections [13], living in neighborhoods [13], being female [10, 14], and being young [13]. However, to the author’s best knowledge, there were few research that looked at the relationship between the mental health state of self-poisoning patients and their family members. It is important to stress that a thorough understanding of the risk factors for suicide behaviors in terms of patients and family members is necessary to carry out prevention activities, which highlights the need for a wider investigation.
In addition, during the Corona Virus Disease 2019 (COVID-19) pandemic, lockdowns and other public health measures had a significant impact on suicide [15]. Researchers noticed a decline in hospital admissions for self-poisoning suicide during the great pandemic, and, of note, this underlying trend actually reflected a decline in the number of patients receiving medical care for self-poisoning rather than a real decline in incidence. Thus, early professional healthcare seeking should be emphasized more, especially during the great pandemic. Identification of risk factors is an important step in guiding suicide prevention.
Therefore, the purpose of this study was to examine the relationship of mental health status between self-poisoning suicide patients and their family members, as well as to identify potential risk factors for predicting suicide attempt, anxiety, and depression using information from both the patients and their family members. In this study, it was expected that new risk factors for self-poisoning could be discovered from patients and their relatives. The study’s findings will be very helpful in directing the implementation of preventive interventions from the perspective of patients and their families.

Patients and methods

Patients

Between May 2021 and May 2022, this study prospectively enrolled 151 poisoned patients and 151 family members based on a matched rate of 1:1. We collected basic demographics, living habits, history of psychiatric diseases, and mental health status among patients and their counterpart family members. All included patients were admitted to our hospital for the treatment of poisoning. Patients were excluded for analysis if they (1) were unwilling to participate, (2) were unaware of self-identity, space, time, and expressing well-being, and (3) could not cooperate with medical workers or researchers for any other reasons. Family members were excluded if he or she (1) refused to take part in the study or (2) could not adequately articulate their well-being. The inclusive and exclusive criteria resulted in the collection of 237 patients and 236 family members. According to the matched rate of 1:1, 151 poisoned patients were matched with 151 family members in terms of patient’s admission ID. Figure 1 shows patient’s diagram. The study eliminated unmatched patients and family members from analysis. The Ethics Committee of the Fifth Medical Center of the Peoples Liberation Army (PLA) General Hospital approved the study protocol (No. KY-2021–12-34–1). All patients and family members provided written informed consent before the data were anonymously analyzed. The Helsinki Declaration was followed in this investigation.

Characteristics of patients and their family members

All clinical traits among patients were categorized into the following types: (1) The patient’s basic demographic (gender, age, marital status, education level, and habitation geographic area), (2) their lifestyles (bland diet, greasy food, smoking, drinking, sedentary time, sport frequency per week, and monthly income), (3) their mental health status (anxiety, depression, self-esteem, hopelessness status, and social support status), and (4) their history of psychiatric diseases (history of depression and history of psychiatry disease). Anxiety and depression were assessed using generalized anxiety disorder-7 (GAD-7) [16] and patient health questionnaire-9 (PHQ-9) [16], respectively. Patient’s self-esteem was evaluated using self-esteem scale-10 (SES-10) [17], hopelessness status was measured using Beck hopelessness scale-20 (BHS-20) [18], and social support status was assessed using social support questionnaire-10 (SSQ-10) [19]. All the above scales, score ranges, explanations, Cronbach’s α, and relevant references are summarized in Supplementary table 1. All aspects of the patient’s lifestyle were self-reported, and a face-to-face interview was used to evaluate patient’s mental health. Poisoning patients were divided into two categories: self-poisoning and accidental poisoning. Self-poisoning suicide and method of self-poisoning, such as medicinal overdose, pesticide, or toxic chemicals, was initially identified using patient’s admission medical record, and verbally reconfirmed through patient’s self-report and their family members.
Regarding patient’s family members, this study collected their demographics including family relationship with patients, gender, age, living arrangement, and level of education, living habits (including sedentary time per day, sport frequency per week, drinking, smoking, and monthly income), intimacy score with patients, and mental health including anxiety and depression. Intimacy score was reported by family members and it ranges from 0 to 100 with higher scores indicating higher levels of intimacy between patients and their family members, and the score was adopted based on previous studies [20, 21]. The GAD-7 and PHQ-9 scales were used, respectively, to assess anxiety and depression.

Statistical analysis

For categorical variables in the study, all data were summarized as the format of proportion, and for continuous variables, data were presented as mean and standard deviation (SD). Between non-suicide patients and suicide patients, as well as between their families, a comparison of characteristics was performed. The comparison of categorical variables was evaluated using the Chi-square test or continuous adjusted Chi-square test, while the comparison of continuous variables was examined using the t test or rank test. Correlation matrix was used to investigate the association of mental health status between patients and their family members, and specifically between suicide patients and their matched family members. In the correlation matrix, corresponding Pearson correlation coefficients, scatter diagrams, and histograms were all presented. To identify potential risk factors for self-poisoning suicide (no vs. yes), anxiety (none vs. mild vs. moderate vs. severe), and depression (none vs. mild vs. moderate vs. severe), multivariable analyses (multiple logistic regression) were performed in terms of patients and their family members, respectively. After adjusting for age and gender specifically among significant characteristics, this study performed a new analysis and verified their statistical significance. Finally, the study provided a summary of the risk factors for suicide, anxiety, and depression among patients and their families. Data were analyzed using R programming language (version 4.1.2). Statistical significance was established as a P-value of less than 0.05 with two-tailed sides.

Results

Characteristics of self-poisoning patients and their family members

To investigate the characteristics of suicide patients by self-poisoning, a comparison was performed between poisoned patients with and without suicide. When compared to poisoned patients who did not attempt suicide, self-poisoning patients were more likely to be female (66.7% vs. 42.9%, P = 0.009), younger (28.02 years old vs. 38.84 years old), and single (53.09% vs. 8.2%) (Table 1). Also, suicide patients did significantly less frequency of sports each week (P < 0.001) and had significantly lower monthly income (P = 0.013).
Table 1
A comparison of characteristics according to the presence of self-poisoning suicide among patients
Characteristics
Overall
Suicide
P
No
Yes
n
151
49
102
 
Gender (%)
   
0.009
 Male
62 (41.1)
28 (57.1)
34 (33.3)
 
 Female
89 (58.9)
21 (42.9)
68 (66.7)
 
Age (mean (SD), years)
31.53 (14.72)
38.84 (12.33)
28.02 (14.53)
 < 0.001
Marital status (%)
   
 < 0.001
 Single
59 (39.1)
4 (8.2)
55 (53.9)
 
 Dating
9 (6.0)
3 (6.1)
6 (5.9)
 
 Married
76 (50.3)
41 (83.7)
35 (34.3)
 
 Divorced or widowed
7 (4.6)
1 (2.0)
6 (5.9)
 
Education level (%)
   
0.976
 Primary
52 (34.4)
16 (32.7)
36 (35.3)
 
 High school
36 (23.8)
12 (24.5)
24 (23.5)
 
 University
58 (38.4)
19 (38.8)
39 (38.2)
 
 Graduate
5 (3.3)
2 (4.1)
3 (2.9)
 
Habitation geographic area (%)
   
0.181
 City
102 (67.5)
29 (59.2)
73 (71.6)
 
 Countryside
49 (32.5)
20 (40.8)
29 (28.4)
 
Bland diet (%)
   
0.370
 No
68 (45.0)
19 (38.8)
49 (48.0)
 
 Yes
83 (55.0)
30 (61.2)
53 (52.0)
 
Greasy food (%)
   
0.073
 No
129 (85.4)
46 (93.9)
83 (81.4)
 
 Yes
22 (14.6)
3 (6.1)
19 (18.6)
 
Smoking (%)
   
0.424
 Yes
45 (29.8)
12 (24.5)
33 (32.4)
 
 No
106 (70.2)
37 (75.5)
69 (67.6)
 
Drinking (%)
   
0.540
 Yes
24 (15.9)
6 (12.2)
18 (17.6)
 
 No
127 (84.1)
43 (87.8)
84 (82.4)
 
Sedentary time (%, hours)
   
0.169
 Less than 1
37 (24.5)
9 (18.4)
28 (27.5)
 
 1 ~ 3
61 (40.4)
25 (51.0)
36 (35.3)
 
 3 ~ 6
28 (18.5)
10 (20.4)
18 (17.6)
 
 Above 6
25 (16.6)
5 (10.2)
20 (19.6)
 
Sport frequency per week (%)
   
 < 0.001
 0
33 (21.9)
8 (16.3)
25 (24.5)
 
 1 ~ 2
63 (41.7)
16 (32.7)
47 (46.1)
 
 3 ~ 5
35 (23.2)
10 (20.4)
25 (24.5)
 
Above 5
20 (13.2)
15 (30.6)
5 (4.9)
 
Monthly income (%, ¥)
   
0.013
 Less than 3000
82 (54.3)
21 (42.9)
61 (59.8)
 
 3000 ~ 6000
52 (34.4)
19 (38.8)
33 (32.4)
 
 6000 ~ 9000
8 (5.3)
2 (4.1)
6 (5.9)
 
 Above 9000
9 (6.0)
7 (14.3)
2 (2.0)
 
Severity of anxiety (GAD-7, %) a
   
 < 0.001
 None
48 (31.8)
37 (75.5)
11 (10.8)
 
 Mild
33 (21.9)
9 (18.4)
24 (23.5)
 
 Moderate
38 (25.2)
1 (2.0)
37 (36.3)
 
 Severe
32 (21.2)
2 (4.1)
30 (29.4)
 
Severity of depression (PHQ-9, %) a
   
 < 0.001
 None
47 (31.1)
36 (73.5)
11 (10.8)
 
 Mild
17 (11.3)
5 (10.2)
12 (11.8)
 
 Moderate
24 (15.9)
4 (8.2)
20 (19.6)
 
 Severe
63 (41.7)
4 (8.2)
59 (57.8)
 
SES-10 (mean (SD))
26.46 (6.16)
30.33 (5.08)
24.60 (5.77)
 < 0.001
BHS-20 (mean (SD))
9.63 (4.29)
6.27 (3.17)
11.25 (3.80)
 < 0.001
SSQ-10 (mean (SD))
36.21 (11.53)
41.96 (12.69)
33.44 (9.85)
 < 0.001
History of depression (%)
   
 < 0.001
 Yes
56 (37.1)
5 (10.2)
51 (50.0)
 
 No
95 (62.9)
44 (89.8)
51 (50.0)
 
History of psychiatry disease (%)
   
0.012
 Yes
28 (18.5)
3 (6.1)
25 (24.5)
 
 No
123 (81.5)
46 (93.9)
77 (75.5)
 
SD Standard deviation, GAD-7 Generalized anxiety disorder-7, PHQ-9 Patient health questionnaire-9, SES-10 Self-esteem scale-10, BHS-20 Beck hopelessness scale-20, SSQ-10 Social support questionnaire-10
anone anxiety or depression indicates a GAD-7 or PHQ-9 score of 0 to 4, mild anxiety or depression indicates a score of 5 to 9, moderate anxiety or depression indicates a score of 10 to 14, and severe anxiety or depression indicates a score of 15 or above
Regarding mental health status, suicide patients had significant higher severity of anxiety (P < 0.001) and depression (P < 0.001), lower SES-10 (P < 0.001) and SSQ-10 (P < 0.001) scores, and a higher BHS-20 score (P < 0.001) than patients who did not attempt suicide. The findings indicated that suicide patients had severe mental health problems. What’s more, compared to patients without suicide, suicide patients had a significantly higher rate of history of depression (P < 0.001) and psychiatry disease (P = 0.012).
In terms of the characteristics of self-poisoning patient’s family members, suicide patient’s family members were more likely to be the patient’s parents (P = 0.002), have an education level of high school (P = 0.003), and have an introvert personality (P = 0.015) than non-suicide patient’s family members (Table 2). Nonetheless, the two groups did not differ significantly in terms of anxiety (P = 0.110) and depression (P = 0.190).
Table 2
A comparison of characteristics in terms of patient’s family members based on the presence of self-poisoning suicide among patients
Characteristics
Overall
Suicide
P
No
Yes
n
151
49
102
 
Family relationship (%)
   
0.002
 Parents
59 (39.1)
8 (16.3)
51 (50.0)
 
 Spouse
42 (27.8)
21 (42.9)
21 (20.6)
 
 Siblings
4 (2.6)
2 (4.1)
2 (2.0)
 
 Kids
12 (7.9)
4 (8.2)
8 (7.8)
 
 Others
34 (22.5)
14 (28.6)
20 (19.6)
 
Gender (%)
   
0.396
 Male
55 (36.4)
15 (30.6)
40 (39.2)
 
 Female
96 (63.6)
34 (69.4)
62 (60.8)
 
Age (mean (SD), years)
42.15 (9.85)
42.49 (10.59)
41.99 (9.53)
0.772
Live together (%)
   
0.468
 Yes
109 (72.2)
33 (67.3)
76 (74.5)
 
 No
42 (27.8)
16 (32.7)
26 (25.5)
 
Education level (%)
   
0.003
 Primary
60 (39.7)
23 (46.9)
37 (36.3)
 
 High school
37 (24.5)
3 (6.1)
34 (33.3)
 
 University
48 (31.8)
20 (40.8)
28 (27.5)
 
 Graduate
6 (4.0)
3 (6.1)
3 (2.9)
 
Sedentary time (%, hours)
   
0.087
 Less than 1
38 (25.2)
11 (22.4)
27 (26.5)
 
 1 ~ 3
60 (39.7)
14 (28.6)
46 (45.1)
 
 3 ~ 6
21 (13.9)
9 (18.4)
12 (11.8)
 
 Above 6
32 (21.2)
15 (30.6)
17 (16.7)
 
Sport frequency per week (%)
   
0.134
 0
17 (11.3)
9 (18.4)
8 (7.8)
 
 1 ~ 2
72 (47.7)
23 (46.9)
49 (48.0)
 
 3 ~ 5
28 (18.5)
10 (20.4)
18 (17.6)
 
 Above 5
34 (22.5)
7 (14.3)
27 (26.5)
 
Drinking (%)
   
1.000
 Yes
11 (7.3)
4 (8.2)
7 (6.9)
 
 No
140 (92.7)
45 (91.8)
95 (93.1)
 
Smoking (%)
   
0.478
 Yes
28 (18.5)
7 (14.3)
21 (20.6)
 
 No
123 (81.5)
42 (85.7)
81 (79.4)
 
Monthly income (%, ¥)
   
0.107
 Less than 3000
52 (34.4)
11 (22.4)
41 (40.2)
 
 3000 ~ 6000
59 (39.1)
20 (40.8)
39 (38.2)
 
 6000 ~ 9000
21 (13.9)
10 (20.4)
11 (10.8)
 
 Above 9000
19 (12.6)
8 (16.3)
11 (10.8)
 
Personality (%)
   
0.015
 Outgoing
68 (45.0)
21 (42.9)
47 (46.1)
 
 Middle
56 (37.1)
23 (46.9)
33 (32.4)
 
 Introvert
16 (10.6)
0 (0.0)
16 (15.7)
 
 Unclear
11 (7.3)
5 (10.2)
6 (5.9)
 
Intimacy score (mean (SD))
88.13 (16.74)
88.20 (13.48)
88.09 (18.16)
0.968
Severity of anxiety (GAD-7, %) a
   
0.110
 None
99 (65.6)
29 (59.2)
70 (68.6)
 
 Mild
31 (20.5)
15 (30.6)
16 (15.7)
 
 Moderate
17 (11.3)
5 (10.2)
12 (11.8)
 
 Severe
4 (2.6)
0 (0.0)
4 (3.9)
 
Severity of depression (PHQ-9, %) a
   
0.190
 None
95 (62.9)
27 (55.1)
68 (66.7)
 
 Mild
26 (17.2)
12 (24.5)
14 (13.7)
 
 Moderate
19 (12.6)
8 (16.3)
11 (10.8)
 
 Severe
11 (7.3)
2 (4.1)
9 (8.8)
 
SD Standard deviation, GAD-7 Generalized anxiety disorder-7, PHQ-9 Patient health questionnaire-9
anone anxiety or depression indicates a GAD-7 or PHQ-9 score of 0 to 4, mild anxiety or depression indicates a score of 5 to 9, moderate anxiety or depression indicates a score of 10 to 14, and severe anxiety or depression indicates a score of 15 or above

Comparison of mental health status between patients and their family members

A matched-pair analysis showed that poisoned patients had significant higher GAD-7 (P < 0.001, Fig. 2A) and PHQ-9 (P < 0.001, Fig. 2B) scores than their matched family members. After eliminating poisoned patients who did not attempt suicide, self-poisoning suicide patients had even significant higher GAD-7 (P < 0.001, Fig. 2C) and PHQ-9 (P < 0.001, Fig. 2D) scores than their matched family members. To clarify, when non-suicide patients were not included for analysis, subgroup analysis of suicide patients revealed that the difference in GAD-7 increased from 4.97 (95%CI: 3.69–6.26) to 7.91 (95%CI: 6.55–9.28) and the difference in PHQ-9 increased from 6.91 (95%CI: 5.27–8.56) to 10.71 (95%CI: 9.04–12.38). Therefore, poisoned patients experienced more severe anxiety and depression than their matched family members, and this pattern was especially pronounced among patients who attempted suicide and their matched family members.
In addition, self-poisoning suicide patients had significant higher GAD-7 (P < 0.001) and PHQ-9 (P < 0.001) scores compared to patients without suicide (Fig. 3). However, both GAD-7 and PHQ-9 scores were very similar between suicide patient’s family members and non-suicide patient’s family members. As anticipated, suicide patients performed worse on the BHS-20 (P < 0.001), lower SES-10 (P < 0.001) and SSQ-10 (P < 0.001) scores than their counterparts (Fig. 4). The data above showed that, in contrast to suicide patients, their family members did not experience serious mental health issues.

Association of mental health status between patients and their family members

Correlation matrix was used to visualize the association of mental health between patients and their matched family members. Among all poisoned patients, Fig. 5 demonstrated that patient’s GAD-7, PHQ-9, SES-10, BHS-20, and SSQ-10 scores were significantly interrelated with each other. Also, among the patient’s family members, there was a strong correlation between GAD-7 and PHQ-9 scores. Family members reported intimacy score with patients were statistically relevant to patient’s PHQ-9 and SES-10 scores. Nonetheless, family member’s GAD-7 and PHQ-9 scores were not significantly associated with patient’s mental health. However, when non-suicide patients and their family members were taken out, the GAD-7 score of the family member was significantly and favorably correlated with the patient’s GAD-7 score and negatively correlated with the intimacy score (Fig. 6). The PHQ-9 score showed a similar pattern; family member’s PHQ-9 score was significantly and favorably related to patient’s PHQ-9 and BHS-20 scores and adversely related to the intimacy score. Pearson correlation coefficients, scatter diagrams, and histograms were all shown.

Risk factors associated with self-poisoning suicide

Multivariable analysis showed that married marital status (P = 0.038), not smoking (P = 0.003), sedentary time of 1 to 6 h (P = 0.013), and participation in sports more than five times per week (P = 0.046) were significantly associated with a lower risk of suicide by self-poisoning, while a severer anxious state (P = 0.001) was a significant contributor to self-poisoning suicide (Table 3). In the predictive evaluation of risk factors for self-poisoning suicide, the area under the curve (AUC) values for the five variables were 0.765 (95% CI: 0.699–0.832, Fig. 7A), 0.539 (95% CI: 0.463–0.615, Fig. 7B), 0.605 (95% CI: 0.515–0.69, Fig. 7C), 0.643 (95% CI: 0.547–0.739, Fig. 7D), and 0.881 (95% CI: 0.827–0.936, Fig. 7E), respectively, and when the five variables were combined, the AUC value was 0.956 (95% CI: 0.926–0.986, Fig. 7F). After adjusting for age and gender among the above significant characteristics, married marital status nearly attained significance (P = 0.062), whereas other five significant variables persisted in significance (Supplementary table 2).
Table 3
Multivariable analysis of characteristics for predicting self-poisoning suicide among patients (n = 151)
Characteristics
OR
95% CI
P
LL
UL
Intercept
1.64
1.15
2.32
0.007
Gender
 Male
Ref
   
 Female
1.14
1.00
1.31
0.055
Age
1.00
0.99
1.01
0.792
Marital status
 Single
Ref
   
 Dating
0.88
0.68
1.13
0.320
 Married
0.80
0.65
0.98
0.038
 Divorced or widowed
0.73
0.52
1.03
0.074
Education level
 Primary
Ref
   
 High school
0.93
0.79
1.10
0.415
 University
0.91
0.78
1.06
0.220
 Graduate
1.33
0.93
1.91
0.117
Habitation geographic area
 City
Ref
   
 Countryside
1.12
0.98
1.28
0.099
Bland diet
 No
Ref
   
 Yes
1.06
0.93
1.21
0.387
Greasy food
 No
Ref
   
 Yes
1.07
0.89
1.28
0.468
Smoking
 Yes
Ref
   
 No
0.78
0.66
0.91
0.003
Drinking
 Yes
Ref
   
 No
0.97
0.81
1.17
0.771
Sedentary time (hours)
 Less than 1
Ref
   
 1 ~ 3
0.82
0.71
0.96
0.013
 3 ~ 6
0.81
0.67
0.98
0.035
 Above 6
0.90
0.74
1.09
0.268
Sport frequency per week
 0
Ref
   
 1 ~ 2
1.24
1.05
1.45
0.011
 3 ~ 5
1.04
0.87
1.25
0.637
 Above 5
0.81
0.67
0.99
0.046
Monthly income (¥)
 Less than 3000
Ref
   
 3000 ~ 6000
0.97
0.84
1.12
0.720
 6000 ~ 9000
1.08
0.78
1.48
0.644
 Above 9000
0.82
0.63
1.07
0.138
Severity of anxiety (GAD-7) a
 None
Ref
   
 Mild
1.33
1.07
1.66
0.012
 Moderate
1.75
1.35
2.27
0.000
 Severe
1.58
1.21
2.06
0.001
Severity of depression (PHQ-9) a
 None
Ref
   
 Mild
1.20
0.95
1.52
0.125
 Moderate
1.15
0.91
1.46
0.229
 Severe
1.14
0.88
1.48
0.307
History of depression
 Yes
Ref
   
 No
1.04
0.89
1.22
0.579
History of psychiatry disease
 Yes
Ref
   
 No
1.11
0.91
1.35
0.300
OR Odds ratio, CI Confident interval, LL Lower limit, UL Upper limit, GAD-7 Generalized anxiety disorder-7, PHQ-9 Patient health questionnaire-9
anone anxiety or depression indicates a GAD-7 or PHQ-9 score of 0 to 4, mild anxiety or depression indicates a score of 5 to 9, moderate anxiety or depression indicates a score of 10 to 14, and severe anxiety or depression indicates a score of 15 or above
Regarding characteristics in terms of the matched family members, this study found that an education level of high school (P = 0.004) and an introvert personality (P = 0.023) were significantly associated with a greater rate of suicide (Table 4), while spouse (P < 0.001) and female (P = 0.047) were significant protective variables. After adjusting for age and gender among significant characteristics, the four variables were still significant (Supplementary table 3).
Table 4
Multivariable analysis of characteristics in terms of matched family members for predicting patient’s self-poisoning suicide (n = 151)
Characteristics
OR
95% CI
P
LL
UL
Intercept
5.95
2.50
14.18
0.000
Family relationship
 Parents
Ref
   
 Spouse
0.64
0.51
0.81
0.000
 Siblings
0.79
0.47
1.32
0.377
 Kids
0.82
0.62
1.09
0.167
 Others
0.65
0.42
1.01
0.060
Gender
 Male
Ref
   
 Female
0.78
0.61
0.99
0.047
Age
0.99
0.98
1.00
0.055
Live together
 Yes
Ref
   
 No
0.91
0.71
1.16
0.442
Education level
 Primary
Ref
   
 High school
1.47
1.14
1.90
0.004
 University
1.10
0.87
1.39
0.449
 Graduate
1.03
0.67
1.59
0.890
Sedentary time (hours)
 Less than 1
Ref
   
 1 ~ 3
1.12
0.89
1.41
0.339
 3 ~ 6
1.06
0.76
1.48
0.722
 Above 6
0.83
0.63
1.10
0.206
Sport frequency per week
 0
Ref
   
 1 ~ 2
0.83
0.62
1.11
0.217
 3 ~ 5
0.97
0.71
1.32
0.825
 Above 5
0.84
0.60
1.17
0.302
Drinking
 Yes
Ref
   
 No
1.16
0.79
1.71
0.444
Smoking
 Yes
Ref
   
 No
0.93
0.70
1.24
0.623
Monthly income (¥)
 Less than 3000
Ref
   
 3000 ~ 6000
0.86
0.68
1.07
0.184
 6000 ~ 9000
0.81
0.58
1.15
0.242
 Above 9000
0.78
0.59
1.04
0.093
Character
 Outgoing
Ref
   
 Middle
0.95
0.79
1.14
0.571
 Introvert
1.41
1.05
1.88
0.023
 Unclear
0.80
0.55
1.17
0.258
Intimacy score
1.00
0.99
1.00
0.486
Severity of anxiety (GAD-7) a
 None
Ref
   
 Mild
0.75
0.54
1.04
0.090
 Moderate
0.82
0.51
1.32
0.418
 Severe
1.31
0.57
2.98
0.524
Severity of depression (PHQ-9) a
 None
Ref
   
 Mild
1.04
0.72
1.49
0.841
 Moderate
1.12
0.78
1.62
0.537
 Severe
1.00
0.58
1.74
0.989
OR Odds ratio, CI Confident interval, LL Lower limit, UL Upper limit, GAD-7 Generalized anxiety disorder-7, PHQ-9 Patient health questionnaire-9
anone anxiety or depression indicates a GAD-7 or PHQ-9 score of 0 to 4, mild anxiety or depression indicates a score of 5 to 9, moderate anxiety or depression indicates a score of 10 to 14, and severe anxiety or depression indicates a score of 15 or above

Risk factors associated with anxiety and depression among self-poisoning suicide patients

To investigate risk factors related to anxiety and depression specifically among self-poisoning suicide patients, non-suicide patients were excluded for analysis. Multivariable analysis showed that married marital status (P = 0.011) and the absence of psychiatry disease history (P < 0.001) were protective factors against anxiety, while divorced or widowed marital status (P = 0.002), a sedentary time of 1 to 3 h (P = 0.022), and a higher monthly income (P = 0.027) were significant contributors to more anxiety specifically among suicide patients by self-poisoning (Table 5). Sedentary time lost significance after correcting for age and gender, but other three variables remained significance (Supplementary table 4). Higher age (P = 0.010) and monthly income (P = 0.008) were significant risk factors for depression, whereas married marital status (P < 0.001), abstinence from alcohol (P = 0.007), and no history of psychiatry illness (P < 0.001) were significant protective factors for depression. After adjusting for age and gender among significant characteristics, drinking did not achieve significance, but the other four variables still did (Supplementary table 5).
Table 5
Multivariable analysis of characteristics for predicting patient’s anxiety and depression specifically among patients with self-poisoning suicide (n = 102)
Characteristics
Anxiety
Depression
OR
95% CI
P
OR
95% CI
P
LL
UL
LL
UL
Intercept
34.08
14.69
79.04
0.000
31.93
13.49
75.57
0.000
Gender
 Male
Ref
   
Ref
   
 Female
1.23
0.81
1.87
0.338
1.38
0.90
2.12
0.148
Age
1.01
0.99
1.03
0.358
1.03
1.01
1.06
0.010
Marital status
 Single
Ref
   
Ref
   
 Dating
0.62
0.29
1.30
0.208
1.06
0.49
2.27
0.891
 Married
0.37
0.17
0.78
0.011
0.21
0.10
0.45
0.000
 Divorced or widowed
4.10
1.72
9.73
0.002
1.78
0.73
4.31
0.208
Education level
 Primary
Ref
   
Ref
   
 High school
1.07
0.63
1.83
0.796
1.38
0.80
2.37
0.254
 University
0.84
0.53
1.33
0.465
0.96
0.60
1.52
0.850
 Graduate
1.43
0.40
5.13
0.580
0.84
0.23
3.10
0.798
Habitation geographic area
 City
Ref
   
Ref
   
 Countryside
0.74
0.48
1.13
0.163
0.82
0.53
1.27
0.369
Bland diet
 No
Ref
   
Ref
   
 Yes
0.86
0.57
1.31
0.493
0.66
0.43
1.01
0.059
Greasy food
 No
Ref
   
Ref
   
 Yes
1.34
0.83
2.19
0.237
1.43
0.87
2.36
0.161
Smoking
 Yes
Ref
   
Ref
   
 No
1.10
0.66
1.83
0.710
1.60
0.95
2.68
0.080
Drinking
 Yes
Ref
   
Ref
   
 No
0.81
0.43
1.50
0.497
0.40
0.21
0.76
0.007
Sedentary time (hours)
 Less than 1
Ref
   
Ref
   
 1 ~ 3
1.76
1.09
2.84
0.022
1.47
0.90
2.39
0.128
 3 ~ 6
1.01
0.55
1.86
0.966
0.97
0.52
1.81
0.927
 Above 6
1.38
0.74
2.57
0.313
0.98
0.52
1.85
0.944
Sport frequency per week
 0
Ref
   
Ref
   
 1 ~ 2
0.79
0.47
1.34
0.383
1.46
0.85
2.51
0.171
 3 ~ 5
0.91
0.51
1.63
0.752
1.73
0.96
3.14
0.074
 Above 5
1.00
0.39
2.57
1.000
1.75
0.67
4.61
0.259
Monthly income (¥)
 Less than 3000
Ref
   
Ref
   
 3000 ~ 6000
0.79
0.48
1.30
0.347
1.18
0.71
1.98
0.519
 6000 ~ 9000
4.35
1.82
10.41
0.001
6.83
2.80
16.68
0.000
 Above 9000
5.44
1.24
23.78
0.027
8.07
1.78
36.55
0.008
History of depression
 Yes
Ref
   
Ref
   
 No
1.03
0.67
1.58
0.894
0.83
0.53
1.28
0.399
History of psychiatry disease
 Yes
Ref
   
Ref
   
 No
0.36
0.21
0.61
0.000
0.34
0.20
0.59
0.000
OR Odds ratio, CI Confident interval, LL Lower limit, UL Upper limit
Regarding the variables in terms of their family members, an education level of high school (P = 0.040), relative higher monthly income (P = 0.035), and higher severity of anxiety (P = 0.011) were significant risk factors for patient’s anxiety (Table 6), whereas middle (P = 0.027) or unclear (P = 0.07) personality were protective. Age and gender adjustments among the above significant characteristics revealed that the all four variables were significant (Supplementary table 6). A sport frequency above five per week (P = 0.023) and a higher severity of depression (P = 0.013) among families were risk factors for patient’s depression, whereas middle personality (P = 0.030) and mild anxiety (P = 0.039) were protective factors. After adjusting for age and gender among significant characteristics, the four variables were still significant (Supplementary table 7).
Table 6
Multivariable analysis of characteristics in terms of family members for predicting patient’s anxiety and depression specifically among self-poisoning patients (n = 102)
Characteristics
Anxiety
Depression
OR
95% CI
P
OR
95% CI
P
LL
UL
LL
UL
Intercept
22.26
1.91
259.01
0.016
3.33
0.28
39.01
0.341
Family relationship
 Parents
Ref
   
Ref
   
 Spouse
1.23
0.57
2.67
0.596
0.93
0.43
2.02
0.858
 Siblings
1.21
0.27
5.45
0.806
1.26
0.28
5.71
0.763
 Kids
0.77
0.34
1.73
0.529
0.69
0.31
1.55
0.373
 Others
1.25
0.64
2.43
0.523
1.27
0.65
2.49
0.484
Gender
 Male
Ref
   
Ref
   
 Female
1.71
0.92
3.16
0.094
1.48
0.80
2.75
0.215
Age
0.98
0.96
1.01
0.220
1.01
0.98
1.04
0.476
Live together
 Yes
Ref
   
Ref
   
 No
1.46
0.74
2.89
0.281
0.77
0.39
1.53
0.464
Education level
 Primary
Ref
   
Ref
   
 High school
2.27
1.05
4.90
0.040
0.95
0.44
2.05
0.895
 University
1.08
0.49
2.40
0.850
0.59
0.26
1.31
0.196
 Graduate
1.14
0.26
5.06
0.864
3.03
0.68
13.53
0.150
Sedentary time (hours)
 Less than 1
Ref
   
Ref
   
 1 ~ 3
0.97
0.53
1.77
0.909
1.44
0.79
2.65
0.241
 3 ~ 6
1.09
0.44
2.74
0.850
1.34
0.53
3.36
0.538
 Above 6
0.48
0.21
1.09
0.085
0.61
0.27
1.40
0.251
Sport frequency per week
 0
Ref
   
Ref
   
 1 ~ 2
1.59
0.59
4.27
0.362
1.53
0.57
4.12
0.403
 3 ~ 5
1.13
0.41
3.12
0.822
1.76
0.63
4.89
0.285
 Above 5
1.75
0.68
4.51
0.252
3.07
1.19
7.95
0.023
Drinking
 Yes
Ref
   
Ref
   
 No
0.87
0.34
2.24
0.776
2.16
0.84
5.59
0.115
Smoking
 Yes
Ref
   
Ref
   
 No
0.87
0.40
1.92
0.739
1.05
0.48
2.31
0.897
Monthly income (¥)
 Less than 3000
Ref
   
Ref
   
 3000 ~ 6000
1.03
0.58
1.83
0.910
0.85
0.48
1.51
0.592
 6000 ~ 9000
2.01
0.79
5.13
0.149
1.48
0.58
3.79
0.415
 Above 9000
2.29
1.08
4.88
0.035
1.84
0.86
3.93
0.118
Character
 Outgoing
Ref
   
Ref
   
 Middle
0.57
0.35
0.93
0.027
0.58
0.36
0.94
0.030
 Introvert
1.44
0.72
2.88
0.306
1.67
0.83
3.36
0.151
 Unclear
0.23
0.08
0.65
0.007
0.50
0.18
1.40
0.190
Intimacy score
1.00
0.98
1.01
0.676
1.00
0.99
1.02
0.755
Severity of anxiety (GAD-7) a
 None
Ref
   
Ref
   
 Mild
0.37
0.16
0.85
0.022
0.40
0.17
0.94
0.039
 Moderate
1.97
0.58
6.72
0.282
0.35
0.10
1.21
0.101
 Severe
6.07
1.57
23.40
0.011
0.76
0.20
2.95
0.697
Severity of depression (PHQ-9) a
 None
Ref
   
Ref
   
 Mild
1.22
0.52
2.86
0.642
1.54
0.66
3.62
0.321
 Moderate
0.92
0.38
2.24
0.862
1.08
0.44
2.63
0.865
 Severe
0.70
0.16
2.96
0.626
6.55
1.54
27.97
0.013
OR Odds ratio, CI Confident interval, LL Lower limit, UL Upper limit, GAD-7 Generalized anxiety disorder-7, PHQ-9 Patient health questionnaire-9
anone anxiety or depression indicates a GAD-7 or PHQ-9 score of 0 to 4, mild anxiety or depression indicates a score of 5 to 9, moderate anxiety or depression indicates a score of 10 to 14, and severe anxiety or depression indicates a score of 15 or above

An overview of all risk factors

An overview of all risk factors for suicide, anxiety, and depression based on the features in terms of patients or their family members is shown in Fig. 8. The summary of risk factors for anxiety and depression were specifically among self-poisoning patients. It provided a thorough analysis of risk and parental factors. In detail, married marital status was a protective factor for suicide, anxiety, and depression among patients, and it could explain that spouse was a protective factor for preventing patient’s suicide. Regarding lifestyles, quitting smoking, giving up drinking, getting more exercise, and managing appropriate sedentary time were beneficial to reduce poor mental health and even suicide behavior. In addition, no prior history of psychiatry disease was linked to lower levels of anxiety and depression. Regarding the clinical characteristics of family members, sport frequency and monthly income were associated with depression and anxiety, respectively. An introvert personality among family members might have contributed to patient’s suicide. Of note, family member’s education level might also have a significant impact on the risk of suicide and anxiety, as this study showed that an education level of high school was associated with more patient’s suicide and anxiety. The overview of all risk factors also demonstrated that family member’s anxiety and depression were closely associated with patient’s anxiety and depression. In addition, the majority of factors still had the same importance after being adjusted for age and gender specifically among significant characteristics.

Discussion

Suicide has developed into a serious global public health problem linked to significant psychological disability, mortality, and impairment [22]. This study showed that compared to non-suicide patients who were admitted to the hospital due to poisoning, self-poisoning suicide patients experienced more serious mental health issues, such as anxiety, depression, hopelessness, and a lack of social support. The findings highlighted the need for more mental health care for people who were prone to self-poisoning. Also, among self-poisoning patients in particular, family members’ mental health state was substantially correlated with patients’ psychiatric status, despite the fact that they scored statistically significantly lower on anxiety and depression than patients did. It suggested that not only self-poisoning patients but also their matched family members should seek professional assistance and access to mental healthcare. Hence, an emphasis on modifiable aspects is now necessary to enable the value of the evidence in suicide prevention.
In the present study, multivariable analysis showed that married marital status, sedentary time of 1 to 6 h, and participation in sports more than five times per week were significantly associated with a lower rate of self-poisoning suicide, while current smoking and anxiety were significant risk factors. Previous studies have shown that divorce was a risk factor for self-poisoning [23], and anxiety was one of most relevant risk factors for suicide [24]. In addition, anxiety disorders raised the chance of subsequent episodes of purposeful self-harm among adolescents and young adults [25]. A meta-analysis showed that depressive and anxious symptoms and comorbid substance use increased the risk of suicide attempts [26]. Another meta-analysis also demonstrated that anxiety increased suicide risk [27]. Interestingly, in this study, we further identified risk factors for self-poisoning based on variables from patient’s matched family members. Family member’s identity, gender, education level, and personality had an impact on patient’s self-poisoning rates. Spouse was severed as a protective factor which was confirmed by the result that married marital status was associated with a lower risk of self-poisoning suicide. A larger monthly income for family members was associated with a tendency for a reduction in the probability of self-poisoning suicide. Yet, patients with higher monthly incomes can experience more worry and depression as opposed to a reduction in the probability of self-poisoning suicide. To earn a high salary, a patient might need to work more and take on more tasks, which could lead to anxiety and sadness owing to the strain of the labor. Patients were more likely to receive financial assistance from their family members if they made a greater monthly income, which may have lessened the patient’s suicidal thoughts. In addition, high school education and an introverted personality trait among family members were additional risk factors for self-poisoning among patients. Previous study also showed that higher introversion increased the risk of suicide ideation [28], and our present study demonstrated that introvert personality among family members also increased the risk of suicide attempts. Family members with introvert personality might not have effective communications with patients, which might possibly affect the mental health of patients. Family members living together with patients might be beneficial to curb anxiety, and this could be explained that such accompany was a protective factor for anxious status. Previous study had already showed that female was vulnerable to self-poisoning suicide [10, 14], and our study also depicted a similar trend. But, interestingly, having female family members helped to prevent self-poisoning suicide for patients. The above-mentioned findings demonstrated a connection of psychiatric health between self-poisoning patients and their family members.
In addition, specifically among self-poisoning suicide patients, multivariable analysis demonstrated that married marital status and no history of psychiatry disease were protective factors for preventing anxiety and depression, while older age, divorced or widowed marital status, a sedentary time of 1 to 3 h, drinking, and a higher monthly income were significant contributors to anxiety or depression. As shown in the above, anxiety was one of main contributors to self-poisoning [2527]. Our study further depicted concise suggestions for patients to deal with anxiety, such as finding a partner, treating previous psychiatry disease, and cultivating health lifestyle. Among the parental traits, a meta-analysis revealed less warmth, more interparental conflict, over-involvement, and aversiveness were linked to higher rates of depression and anxiety [29], indicating that a peaceful home environment was helpful in preventing anxiety and depression. In addition, a more recent study found that having a depressed mother increased the probability of adolescent anxiety and depression, as well as the amount of peer stress these adolescents experienced [30].
National restrictions on harmful pesticides were thought to be one of the most effective ways to avoid self-poisoning suicide [5, 6]. However, this intervention had relatively less impact on preventing suicide by self-poisoning, and toxic substances such as pesticides were still readily accessible among many countries, including China. In addition, Weerasinghe et al. [31] showed that pesticide vendors were willing to be a “gatekeeper” to prevent patient’s access to pesticides from their stores. Nonetheless, it was challenging for the sellers to differentiate between consumers who might be self-poisoning and those who bought pesticides for agricultural use [32]. Thus, the matter at hand is complicated. Even worse, illicit drugs and medically prescribed drugs are also readily accessible and the most frequently misused medicine [7, 8]. But one was sure that suicides was able to, at least partially, be decreased by limiting the accessibility of means to suicide [24], by training hospital doctors and community medical workers to screen people at high risk of suicide, manage self-poisoning patients more appropriately, as well as provide adequate follow-up health care [24]. Suicidality is a significant social and medical issue, and hence it should be prioritized in many areas.

Limitations

This study still needs to be improved in a few areas. Initially, a longitudinal cohort study is required to investigate because it is challenging to establish a causal relationship between variables and suicide due to the cross-sectional study’s nature. Secondly, the meaning of the term “suicide” in the literature that is currently available is occasionally unclear, which may result in patient’s selection bias. On the other hand, for the current study, we gathered patients who had been admitted to the hospital’s department for self-poisoning suicide. Thus, those patients are highly specific. Thirdly, as the data were gathered from a medical center, certain possible biases may still remain as a result of unmeasured confounding variables. A planned multicenter validation study is therefore necessary.

Conclusions

Self-poisoning suicide patients have severe mental health issues. Patients who self-poison have a close connection to their family member’s mental health, particularly their levels of anxiety and depression. According to the findings, being married and adopting healthy lifestyle habits, such as quitting smoking and drinking, increasing their physical activity levels, and managing their idle time, are able to help patients with mental health concerns and even suicidal thoughts.

Acknowledgements

Not applicable.

Declarations

The Ethics Committee of the Fifth Medical Center of PLA General Hospital approved the study protocol (No. KY-2021–12-34–1). Data were anonymously analyzed and informed written consent was obtained from all patients and family members. All experiments were performed in accordance with relevant guidelines and regulations.
Not Applicable.

Competing interests

The authors declare no competing interests.
Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://​creativecommons.​org/​licenses/​by/​4.​0/​. The Creative Commons Public Domain Dedication waiver (http://​creativecommons.​org/​publicdomain/​zero/​1.​0/​) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Literatur
1.
Zurück zum Zitat Albano GD, Malta G, La Spina C, Rifiorito A, Provenzano V, Triolo V, et al. Toxicological Findings of Self-Poisoning Suicidal Deaths: A Systematic Review by Countries. Toxics. 2022;10(11):654.CrossRefPubMedPubMedCentral Albano GD, Malta G, La Spina C, Rifiorito A, Provenzano V, Triolo V, et al. Toxicological Findings of Self-Poisoning Suicidal Deaths: A Systematic Review by Countries. Toxics. 2022;10(11):654.CrossRefPubMedPubMedCentral
2.
Zurück zum Zitat Phillips MR, Yang G, Zhang Y, Wang L, Ji H, Zhou M. Risk factors for suicide in China: a national case-control psychological autopsy study. Lancet. 2002;360(9347):1728–36.CrossRefPubMed Phillips MR, Yang G, Zhang Y, Wang L, Ji H, Zhou M. Risk factors for suicide in China: a national case-control psychological autopsy study. Lancet. 2002;360(9347):1728–36.CrossRefPubMed
3.
Zurück zum Zitat Spiller HA, Ackerman JP, Spiller NE, Casavant MJ. Sex- and Age-specific Increases in Suicide Attempts by Self-Poisoning in the United States among Youth and Young Adults from 2000 to 2018. J Pediatr. 2019;210:201–8.CrossRefPubMed Spiller HA, Ackerman JP, Spiller NE, Casavant MJ. Sex- and Age-specific Increases in Suicide Attempts by Self-Poisoning in the United States among Youth and Young Adults from 2000 to 2018. J Pediatr. 2019;210:201–8.CrossRefPubMed
4.
Zurück zum Zitat Kasemy ZA, Sharif AF, Amin SA, Fayed MM, Desouky DE, Salama AA, et al. Trend and epidemiology of suicide attempts by self-poisoning among Egyptians. PLoS ONE. 2022;17(6):e0270026.CrossRefPubMedPubMedCentral Kasemy ZA, Sharif AF, Amin SA, Fayed MM, Desouky DE, Salama AA, et al. Trend and epidemiology of suicide attempts by self-poisoning among Egyptians. PLoS ONE. 2022;17(6):e0270026.CrossRefPubMedPubMedCentral
5.
Zurück zum Zitat Gunnell D, Knipe D, Chang SS, Pearson M, Konradsen F, Lee WJ, et al. Prevention of suicide with regulations aimed at restricting access to highly hazardous pesticides: a systematic review of the international evidence. Lancet Glob Health. 2017;5(10):e1026–37.CrossRefPubMed Gunnell D, Knipe D, Chang SS, Pearson M, Konradsen F, Lee WJ, et al. Prevention of suicide with regulations aimed at restricting access to highly hazardous pesticides: a systematic review of the international evidence. Lancet Glob Health. 2017;5(10):e1026–37.CrossRefPubMed
6.
Zurück zum Zitat Gunnell D, Eddleston M, Phillips MR, Konradsen F. The global distribution of fatal pesticide self-poisoning: systematic review. BMC Public Health. 2007;7:357.CrossRefPubMedPubMedCentral Gunnell D, Eddleston M, Phillips MR, Konradsen F. The global distribution of fatal pesticide self-poisoning: systematic review. BMC Public Health. 2007;7:357.CrossRefPubMedPubMedCentral
7.
Zurück zum Zitat VujaklijaBrajkovic A, Grgat M, Bielen L, Brajkovic J, Zlopasa O, Vrdoljak NG, et al. Self-poisoning as a cause of admission in a medical intensive care unit and a question of misuse of prescription medications. Heart Lung. 2022;51:17–21.CrossRef VujaklijaBrajkovic A, Grgat M, Bielen L, Brajkovic J, Zlopasa O, Vrdoljak NG, et al. Self-poisoning as a cause of admission in a medical intensive care unit and a question of misuse of prescription medications. Heart Lung. 2022;51:17–21.CrossRef
8.
Zurück zum Zitat Karaca O, Ertaskin A. Epidemiology of Self-poisoning with Drug in the Central Anatolian Region in Turkey. Cureus. 2020;12(2):e6962.PubMedPubMedCentral Karaca O, Ertaskin A. Epidemiology of Self-poisoning with Drug in the Central Anatolian Region in Turkey. Cureus. 2020;12(2):e6962.PubMedPubMedCentral
9.
Zurück zum Zitat Pushpakumara PHGJ, Dawson AH, Adikari AMP, Thennakoon SUB, Abeysinghe R, Rajapakse TN. Exploration of associations between deliberate self-poisoning and psychiatric disorders in rural Sri Lanka: A case-control study. PLoS ONE. 2021;16(8):e0255805.CrossRefPubMedPubMedCentral Pushpakumara PHGJ, Dawson AH, Adikari AMP, Thennakoon SUB, Abeysinghe R, Rajapakse TN. Exploration of associations between deliberate self-poisoning and psychiatric disorders in rural Sri Lanka: A case-control study. PLoS ONE. 2021;16(8):e0255805.CrossRefPubMedPubMedCentral
10.
Zurück zum Zitat Thumtecho S, Sriworasuwat P, Wainipitapong S. Suicidal attempts and self-poisoning: 1-year retrospective cohort study from the quaternary hospital in Thai metropolitan area. Health Sci Rep. 2022;5(6):e941.CrossRefPubMedPubMedCentral Thumtecho S, Sriworasuwat P, Wainipitapong S. Suicidal attempts and self-poisoning: 1-year retrospective cohort study from the quaternary hospital in Thai metropolitan area. Health Sci Rep. 2022;5(6):e941.CrossRefPubMedPubMedCentral
11.
Zurück zum Zitat Chai Y, Luo H, Yip PSF. Prevalence and risk factors for repetition of non-fatal self-harm in Hong Kong, 2002–2016: A population-based cohort study. Lancet Reg Health West Pac. 2020;2:100027.CrossRefPubMedPubMedCentral Chai Y, Luo H, Yip PSF. Prevalence and risk factors for repetition of non-fatal self-harm in Hong Kong, 2002–2016: A population-based cohort study. Lancet Reg Health West Pac. 2020;2:100027.CrossRefPubMedPubMedCentral
12.
Zurück zum Zitat Gobbi G, Atkin T, Zytynski T. Association of Cannabis Use in Adolescence and Risk of Depression, Anxiety, and Suicidality in Young Adulthood: A Systematic Review and Meta-analysis. Jama Psychiat. 2019;76(4):426–34.CrossRef Gobbi G, Atkin T, Zytynski T. Association of Cannabis Use in Adolescence and Risk of Depression, Anxiety, and Suicidality in Young Adulthood: A Systematic Review and Meta-analysis. Jama Psychiat. 2019;76(4):426–34.CrossRef
13.
Zurück zum Zitat Pawer S, Rajabali F, Zheng A, Smith J, Purssell R, Pike I. Analyses of Child and Youth Self-Poisoning Hospitalizations by Substance and Socioeconomic Status. Int J Environ Res Public Health. 2021;18(13):7003.CrossRefPubMedPubMedCentral Pawer S, Rajabali F, Zheng A, Smith J, Purssell R, Pike I. Analyses of Child and Youth Self-Poisoning Hospitalizations by Substance and Socioeconomic Status. Int J Environ Res Public Health. 2021;18(13):7003.CrossRefPubMedPubMedCentral
15.
Zurück zum Zitat Knipe D, Silva T, Aroos A, Senarathna L, Hettiarachchi NM, Galappaththi SR, et al. Hospital presentations for self-poisoning during COVID-19 in Sri Lanka: an interrupted time-series analysis. Lancet Psychiatry. 2021;8(10):892–900.CrossRefPubMedPubMedCentral Knipe D, Silva T, Aroos A, Senarathna L, Hettiarachchi NM, Galappaththi SR, et al. Hospital presentations for self-poisoning during COVID-19 in Sri Lanka: an interrupted time-series analysis. Lancet Psychiatry. 2021;8(10):892–900.CrossRefPubMedPubMedCentral
16.
Zurück zum Zitat Zhou Y, Xu J, Rief W. Are comparisons of mental disorders between Chinese and German students possible? An examination of measurement invariance for the PHQ-15, PHQ-9 and GAD-7. BMC Psychiatry. 2020;20(1):480.CrossRefPubMedPubMedCentral Zhou Y, Xu J, Rief W. Are comparisons of mental disorders between Chinese and German students possible? An examination of measurement invariance for the PHQ-15, PHQ-9 and GAD-7. BMC Psychiatry. 2020;20(1):480.CrossRefPubMedPubMedCentral
18.
Zurück zum Zitat Bouvard M, Charles S, Guerin J, Aimard G, Cottraux J. Study of Beck’s hopelessness scale Validation and factor analysis. Encephale. 1992;18(3):237–40. Bouvard M, Charles S, Guerin J, Aimard G, Cottraux J. Study of Beck’s hopelessness scale Validation and factor analysis. Encephale. 1992;18(3):237–40.
19.
Zurück zum Zitat Fu C, Wang GW, Shi XX, Cao FL. Social support and depressive symptoms among physicians in tertiary hospitals in China: a cross-sectional study. BMC Psychiatry. 2021;21(1):217.CrossRefPubMedPubMedCentral Fu C, Wang GW, Shi XX, Cao FL. Social support and depressive symptoms among physicians in tertiary hospitals in China: a cross-sectional study. BMC Psychiatry. 2021;21(1):217.CrossRefPubMedPubMedCentral
20.
Zurück zum Zitat Quintana JM, Gonzalez N, Bilbao A, Aizpuru F, Escobar A, Esteban C, et al. Predictors of patient satisfaction with hospital health care. BMC Health Serv Res. 2006;6:102.CrossRefPubMedPubMedCentral Quintana JM, Gonzalez N, Bilbao A, Aizpuru F, Escobar A, Esteban C, et al. Predictors of patient satisfaction with hospital health care. BMC Health Serv Res. 2006;6:102.CrossRefPubMedPubMedCentral
21.
Zurück zum Zitat Zeng X, Lu M, Chen M. The relationship between family intimacy and relapse tendency among people who use drugs: a moderated mediation model. Subst Abuse Treat Prev Policy. 2021;16(1):48.CrossRefPubMedPubMedCentral Zeng X, Lu M, Chen M. The relationship between family intimacy and relapse tendency among people who use drugs: a moderated mediation model. Subst Abuse Treat Prev Policy. 2021;16(1):48.CrossRefPubMedPubMedCentral
22.
23.
Zurück zum Zitat Wang B, Han L, Wen J, Zhang J, Zhu B. Self-poisoning with pesticides in Jiangsu Province, China: a cross-sectional study on 24,602 subjects. BMC Psychiatry. 2020;20(1):545.CrossRefPubMedPubMedCentral Wang B, Han L, Wen J, Zhang J, Zhu B. Self-poisoning with pesticides in Jiangsu Province, China: a cross-sectional study on 24,602 subjects. BMC Psychiatry. 2020;20(1):545.CrossRefPubMedPubMedCentral
25.
Zurück zum Zitat Hu N, Glauert RA, Li JH, Taylor CL. Risk factors for repetition of a deliberate self-harm episode within seven days in adolescents and young adults: A population-level record linkage study in Western Australia. Aust Nz J Psychiat. 2016;50(2):154–66.CrossRef Hu N, Glauert RA, Li JH, Taylor CL. Risk factors for repetition of a deliberate self-harm episode within seven days in adolescents and young adults: A population-level record linkage study in Western Australia. Aust Nz J Psychiat. 2016;50(2):154–66.CrossRef
26.
Zurück zum Zitat Pellegrini L, Maietti E, Rucci P, Casadei G, Maina G, Fineberg NA, et al. Suicide attempts and suicidal ideation in patients with obsessive-compulsive disorder: A systematic review and meta-analysis. J Affect Disord. 2020;276:1001–21.CrossRefPubMed Pellegrini L, Maietti E, Rucci P, Casadei G, Maina G, Fineberg NA, et al. Suicide attempts and suicidal ideation in patients with obsessive-compulsive disorder: A systematic review and meta-analysis. J Affect Disord. 2020;276:1001–21.CrossRefPubMed
27.
Zurück zum Zitat Stanley IH, Boffa JW, Rogers ML, Hom MA, Albanese BJ, Chu C, et al. Anxiety sensitivity and suicidal ideation/suicide risk: A meta-analysis. J Consult Clin Psychol. 2018;86(11):946–60.CrossRefPubMedPubMedCentral Stanley IH, Boffa JW, Rogers ML, Hom MA, Albanese BJ, Chu C, et al. Anxiety sensitivity and suicidal ideation/suicide risk: A meta-analysis. J Consult Clin Psychol. 2018;86(11):946–60.CrossRefPubMedPubMedCentral
28.
Zurück zum Zitat Wiebenga JX, Eikelenboom M, Heering HD, van Oppen P, Penninx BW. Suicide ideation versus suicide attempt: Examining overlapping and differential determinants in a large cohort of patients with depression and/or anxiety. Aust N Z J Psychiatry. 2021;55(2):167–79.CrossRefPubMed Wiebenga JX, Eikelenboom M, Heering HD, van Oppen P, Penninx BW. Suicide ideation versus suicide attempt: Examining overlapping and differential determinants in a large cohort of patients with depression and/or anxiety. Aust N Z J Psychiatry. 2021;55(2):167–79.CrossRefPubMed
29.
Zurück zum Zitat Yap MB, Pilkington PD, Ryan SM, Jorm AF. Parental factors associated with depression and anxiety in young people: a systematic review and meta-analysis. J Affect Disord. 2014;156:8–23.CrossRefPubMed Yap MB, Pilkington PD, Ryan SM, Jorm AF. Parental factors associated with depression and anxiety in young people: a systematic review and meta-analysis. J Affect Disord. 2014;156:8–23.CrossRefPubMed
30.
Zurück zum Zitat Henry LM, Steele EH, Watson KH, Bettis AH, Gruhn M, Dunbar J, et al. Stress Exposure and Maternal Depression as Risk Factors for Symptoms of Anxiety and Depression in Adolescents. Child Psychiat Hum D. 2020;51(4):572–84.CrossRef Henry LM, Steele EH, Watson KH, Bettis AH, Gruhn M, Dunbar J, et al. Stress Exposure and Maternal Depression as Risk Factors for Symptoms of Anxiety and Depression in Adolescents. Child Psychiat Hum D. 2020;51(4):572–84.CrossRef
31.
Zurück zum Zitat Weerasinghe M, Pearson M, Peiris R, Dawson AH, Eddleston M, Jayamanne S, et al. The role of private pesticide vendors in preventing access to pesticides for self-poisoning in rural Sri Lanka. Inj Prev. 2014;20(2):134–7.CrossRefPubMed Weerasinghe M, Pearson M, Peiris R, Dawson AH, Eddleston M, Jayamanne S, et al. The role of private pesticide vendors in preventing access to pesticides for self-poisoning in rural Sri Lanka. Inj Prev. 2014;20(2):134–7.CrossRefPubMed
32.
Zurück zum Zitat Konradsen F, Hoek W, Peiris P. Reaching for the bottle of pesticide–a cry for help. Self-inflicted poisonings in Sri Lanka. Soc Sci Med. 2006;62(7):1710–9. Konradsen F, Hoek W, Peiris P. Reaching for the bottle of pesticide–a cry for help. Self-inflicted poisonings in Sri Lanka. Soc Sci Med. 2006;62(7):1710–9.
Metadaten
Titel
Association of mental health status between self-poisoning suicide patients and their family members: a matched-pair analysis
verfasst von
Wenjing Zheng
Limei Han
Yanna Fan
Min Yi
Xiaoxia Lu
Juan Yang
Xiaobo Peng
Ying Yang
Publikationsdatum
01.12.2023
Verlag
BioMed Central
Erschienen in
BMC Psychiatry / Ausgabe 1/2023
Elektronische ISSN: 1471-244X
DOI
https://doi.org/10.1186/s12888-023-04779-9

Weitere Artikel der Ausgabe 1/2023

BMC Psychiatry 1/2023 Zur Ausgabe

„Übersichtlicher Wegweiser“: Lauterbachs umstrittener Klinik-Atlas ist online

17.05.2024 Klinik aktuell Nachrichten

Sie sei „ethisch geboten“, meint Gesundheitsminister Karl Lauterbach: mehr Transparenz über die Qualität von Klinikbehandlungen. Um sie abzubilden, lässt er gegen den Widerstand vieler Länder einen virtuellen Klinik-Atlas freischalten.

ADHS-Medikation erhöht das kardiovaskuläre Risiko

16.05.2024 Herzinsuffizienz Nachrichten

Erwachsene, die Medikamente gegen das Aufmerksamkeitsdefizit-Hyperaktivitätssyndrom einnehmen, laufen offenbar erhöhte Gefahr, an Herzschwäche zu erkranken oder einen Schlaganfall zu erleiden. Es scheint eine Dosis-Wirkungs-Beziehung zu bestehen.

Klinikreform soll zehntausende Menschenleben retten

15.05.2024 Klinik aktuell Nachrichten

Gesundheitsminister Lauterbach hat die vom Bundeskabinett beschlossene Klinikreform verteidigt. Kritik an den Plänen kommt vom Marburger Bund. Und in den Ländern wird über den Gang zum Vermittlungsausschuss spekuliert.

Typ-2-Diabetes und Depression folgen oft aufeinander

14.05.2024 Typ-2-Diabetes Nachrichten

Menschen mit Typ-2-Diabetes sind überdurchschnittlich gefährdet, in den nächsten Jahren auch noch eine Depression zu entwickeln – und umgekehrt. Besonders ausgeprägt ist die Wechselbeziehung laut GKV-Daten bei jüngeren Erwachsenen.