Zum Inhalt

Sleep-related drugs utilization and suicide behaviors: a population-based study in China

  • Open Access
  • 01.12.2025
  • Research
Erschienen in:

Abstract

Background

Previous studies have yielded conflicting findings regarding the relationship between the use of sleep-related drugs (SRDU) and suicidal behaviors. This population-based study aimed to analyze the associations between SRDU and suicidal behaviors. Additionally, we examined the associations between SRDU and specific conditional suicidal behaviors, providing insights into the impact of SRDU on the progression of suicidal behaviors.

Methods

The study was conducted among community residents aged 18 and older using a cross-sectional design, analyzing 21,376 participants. Data on SRDU, suicidal ideation, plans, and attempts were collected. Participants were categorized into general individuals without suicidal behaviors (GNS), suicidal ideators without a plan or attempt (SINPA), suicidal ideators with a plan but no attempt (SIP), and individuals who attempted suicide (SA). Insomnia, sleep apnea, rapid eye movement sleep behavior disorder (RBD), and narcolepsy were assessed using the Athens Insomnia Scale, Berlin Questionnaire, Rapid Eye Movement Sleep Behavior Disorder Questionnaire, and Ullanlinna Narcolepsy Scale, respectively.

Results

After adjusting for sociodemographic variables, insomnia, sleep apnea, RBD, and narcolepsy, SRDU showed a positive association with suicidal ideation (OR = 3.02), plans (OR = 4.78), and attempts (OR = 6.40; all p < 0.001). Compared to GNS, and after controlling for the same variables, SRDU was associated with SINPA (OR = 2.46), SIP (OR = 5.11), and SA (OR = 6.93; all p < 0.001) respectively. However, no significant differences in SRDU were found between SINPA, SIP, and SA (all p > 0.05).

Conclusions

This population-based study confirms that SRDU is positively associated with suicidal ideation, plans, and attempts, even after accounting for the risk factors of insomnia, sleep apnea, RBD, and narcolepsy. Nonetheless, SRDU does not appear to influence the progression from suicidal ideation to attempt.

Publisher’s note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Background

In recent decades, suicide has been recognized as a significant public health issue globally. The World Health Organization (WHO) estimates that over 700,000 people die by suicide annually, surpassing the death toll from malaria, AIDS, breast cancer, or wars and homicides [1]. Numerous studies have sought to identify factors associated with suicidal behaviors, finding various social, psychological, and behavioral factors to be linked [2]. Among these, sleep disturbances, including insomnia [36], nightmares [7, 8], and others [9, 10], have been identified as risk factors for suicidal behaviors. Consequently, treating sleep disturbances could be an effective strategy for preventing suicidal behaviors. Supporting this, studies among patients with sleep disorders have shown that visits to sleep medicine specialists can play a protective role against suicide attempts [11, 12]. Furthermore, a randomized controlled trial demonstrated that cognitive-behavioral therapy for insomnia can reduce symptoms of insomnia, thereby helping to alleviate and prevent suicidal ideation [13, 14].
Given the positive impact of treating sleep disturbances on suicidal behaviors among patients with sleep disorders, it is conceivable that pharmacological therapy, the most common method for treating sleep disturbances at the population level, could help manage suicidal behaviors [15, 16]. However, a study drawing on two national population-based samples indicated that the use of prescription medications for insomnia was positively associated with suicidal behaviors without being linked to any specific class of medication [17]. These results highlight the complex relationship between the use of SRDU and suicidal behaviors, suggesting that more research is needed to fully understand this connection.
The conflicting associations between treating sleep disturbances and the use of SRDU on suicidal behaviors may be attributable to differences in the populations studied. The protective effect of treating sleep disturbances was supported among sleep disorders patients. However, the positive association between SRDU and suicidal behaviors was supported by population-based studies [17]. For patients with sleep disorders, sleep problems may be a significant risk factor for suicidal behaviors, and addressing these disturbances could effectively control such behaviors. However, in the general community, individuals with suicidal behaviors may be influenced by a variety of factors and might use sleep medications as a way to manage their suicidal tendencies. The positive associations between SRDU and suicidal behaviors observed in community residents could stem from increased use of sleep medications among those considering suicide. On the other hand, the positive correlations between SRDU and suicidal behaviors at the population level might result from the impact of sleep disturbances rather than SRDU itself. Understanding the role of sleep disturbances could provide valuable insights into the relationships between SRDU and suicidal behaviors among community residents.
On the other hand, suicide is a process that ranges from ideation to action, with suicidal behaviors classified into suicidal ideation, suicide planning, suicide attempts, and completed suicide, according to the WHO criteria [2]. Previous population-based studies typically analyzed suicidal behaviors across the entire sample, sometimes including individuals at risk of suicide in the control groups [1820]. For instance, in studies examining factors associated with suicide attempts, individuals with only suicidal ideation or plans were often grouped with those without any suicide attempts. While this approach is effective for identifying factors associated with suicide attempts, it may lead to the loss of critical information. Moreover, although suicidal ideation is a significant predictor of subsequent suicidal behaviors, distinctions between ideation and actual suicide attempts have been observed in prior research [21]. To address these nuances, this study categorized suicide risk into general individuals with no suicidal behaviors (GNS), suicidal ideators without plans or attempts (SINPA), suicidal ideators with plans but no attempts (SIP), and those who have attempted suicide (SA), termed conditional suicidal behaviors [22, 23]. This classification acknowledges the stages of suicide risk and, while it may not elucidate causal relationships, it aids in analyzing the differences among individuals at various stages of suicidal behaviors.
In China, sleep medications are categorized into prescription and nonprescription drugs. Prescription medications for sleep issues, such as Zopiclone and Benzodiazepines, are similar to those available in other countries. On the other hand, nonprescription options for sleep disturbances primarily include traditional Chinese medicines like Anshenbunao Syrup and Jieyu Anshen Granules, which have been effective in addressing sleep problems. This diversity in sleep medications may result in different associations between SRDU and suicidal behaviors in China compared to other countries.
Given this context, a population-based study was conducted to investigate the associations between SRDU and suicidal behaviors, adjusting for factors such as insomnia, sleep apnea, RBD, and narcolepsy. The study also examined the relationship between SRDU and various stages of suicidal behavior. These findings not only enhance our understanding of the link between SRDU and suicidal behaviors from a public health standpoint but also offer valuable insights for managing suicidal behaviors among community residents dealing with sleep issues.

Methods

Study design

This study utilized a cross-sectional design to survey community residents aged 18 and older. All interviews were conducted in Hebei Province, China, which is located in the northern part of the country. In 2020, Hebei Province had an approximate population of 75 million [24]. The sample for this study was chosen through a multistage stratified cluster sampling technique, which comprised five steps. Initially, five cities (Shijiazhuang, Baoding, Xingtai, Zhangjiakou, and Qinhuangdao) were randomly selected from the 11 cities within Hebei Province. In the subsequent step, three counties and one district were randomly chosen from these five cities. Following that, one township was selected from each county, and one sub-district from each district, through random sampling. The fourth step involved randomly selecting one village from each township and one neighborhood from each sub-district. Finally, all residents aged 18 and older in the chosen villages and neighborhoods were invited to participate in the interviews. This process ultimately led to the selection of 15 villages and 5 neighborhoods, resulting in the collection of 21,376 valid questionnaires for the study.

Interview procedure

The survey was conducted through face-to-face interviews. Before beginning the interviews, all interviewers underwent training to ensure they fully understood the sampling criteria, the study’s objectives, the questionnaire content, and participant rewards, among other aspects. Before the official survey, interviewers were required to explain the study’s purposes and the benefits to participants. After obtaining written informed consent, an interview would be scheduled with each participant. To enhance participant cooperation, community directors actively promoted the study within their communities, and each participant received a gift valued at approximately 2 dollars after completing the interview. On each day of interviewing, a reviewer checked all questionnaires for logical errors and missing data, which were then addressed or followed up the next day.

Measures

Suicide behavior and conditional suicide behavior

In this study, suicidal ideation, planning, and attempts were assessed using three questions. The question for suicidal ideation was, “Have you ever seriously considered killing yourself?” For planning a suicide, the question was, “Have you ever made a plan to kill yourself?” And for suicide attempts, it was, “Have you ever attempted to kill yourself?” Responses to these questions were binary: “yes (1)” or “no (0).” Participants who answered positively to any of these questions were categorized as having experienced suicidal ideation, planning, or attempts. These questions are widely utilized to assess these factors globally, including in the US National Comorbidity Survey (NCS), the National Comorbidity Survey Replication (NCSR) [22] and many other studies worldwide [2528].
Considering that suicidal behaviors can progress from ideation to attempts among community residents, the study further explored the associations between the use of sleep-related drugs and suicidal behaviors. Participants were classified into four groups based on their responses: GNS, SINPA, SIP, and SA.
The use of sleep-related drugs was assessed with the question, “In the past year, have you taken any drugs because of sleep problems?” Responses were binary: “yes (1)” or “no (0).“A similar question has been employed to evaluate SRDU in previous studies [15, 16].

Insomnia

In this study, the Chinese version of the Athens Insomnia Scale (AIS) was used to assess participants’ insomnia status. The AIS is a self-assessment tool for insomnia, developed based on the ICD-10 (International Classification of Diseases-10) criteria [29, 30]. Its Chinese version has been validated and found to have good reliability and validity [31]. The scale consists of eight items, with higher total scores indicating a greater risk of insomnia. This scale is widely used globally to evaluate insomnia [3234].

Sleep apnea

In this study, the Chinese version of the Berlin Questionnaire (BQ) was utilized to assess sleep apnea risk [35]. The BQ focuses on sleep apnea risk factors such as snoring behavior, daytime sleepiness or fatigue, and the presence of obesity or hypertension [36]. A high risk of sleep apnea is indicated by two or more positive responses across these three risk factor categories. The diagnostic accuracy of the BQ for identifying sleep apnea in Chinese populations has been validated in previous research [37].

Rapid eye movement sleep behavior disorder (RBD)

In this study, the Chinese version of the Rapid Eye Movement Sleep Behavior Disorder Questionnaire (RBDQ-HK) was used to assess RBD [38]. The questionnaire comprises 17 items that inquire about dream-related behaviors and manifestations. A higher score on this scale indicates a greater risk of RBD. This scale has been employed in several previous studies to evaluate RBD [39, 40].

Narcolepsy

In this study, narcolepsy was assessed using the Ullanlinna Narcolepsy Scale (UNS) [41]. The Chinese version of the UNS has been validated and shown to have good reliability and validity [42]. The UNS consists of 11 items, with the sum of these items analyzed to determine the risk of narcolepsy. Higher scores indicate a greater risk of narcolepsy. This scale is not only used in the diagnosis of narcolepsy [43] but is also widely utilized for evaluating narcolepsy globally [4446].

Other control variables

In this study, the results of the logistic regressions were adjusted for gender, age, ethnicity, education level, region, and living alone. Gender was categorized as male or female. Age was determined based on the participants’ dates of birth. Ethnicity was classified as Han and other ethnicities. Education level was divided into illiteracy, elementary school, middle school, and high school or above. Region was distinguished between urban and rural areas. Living alone was identified as either yes or no.

Statistical methods

Data analysis was conducted using SPSS for Windows, version 24.0 (web version). Means and standard deviations were reported for continuous variables, while percentages were used for categorical variables. Single variable analyses were carried out using the Student’s t-test or the Chi-square test to examine the associations between SRDU and suicidal behaviors. Logistic regression was then applied to further explore the relationship between SRDU and suicidal behaviors, controlling for confounding factors. All tests were two-tailed, and a p-value of 0.05 or lower was considered statistically significant.

Results

In this study, a total of 21,376 participants were analyzed. The prevalence rates of suicidal ideation, planning, and attempts were found to be 1.4%, 0.3%, and 0.2%, respectively. Additionally, 575 participants (2.7%) reported using sleep-related drugs in the past year. Factors associated with suicidal ideation included gender (\(\:{\chi\:}^{2}\)=33.93, p < 0.001), age (t = 5.51, p < 0.001), education (\(\:{\chi\:}^{2}\)=33.57, p < 0.001), living alone (\(\:{\chi\:}^{2}\)=31.84, p < 0.001), insomnia (t = 21.26, p < 0.001), sleep apnea (\(\:{\chi\:}^{2}\)=5.69, p < 0.05), RBD (t = 15.81, p < 0.001), and SRDU (\(\:{\chi\:}^{2}\)=351.61, p < 0.001). Factors associated with making a suicide plan were age (t = 2.20, p < 0.05), insomnia (t = 6.02, p < 0.001), RBD (t = 8.58, p < 0.001), narcolepsy (t = 4.26, p < 0.001), and SRDU (\(\:{\chi\:}^{2}\)=71.72, p < 0.001). Factors associated with suicide attempts included RBD (t = 5.38, p < 0.001), and SRDU (\(\:{\chi\:}^{2}\)=23.20, p < 0.001 Detailed information regarding sociodemographic characteristics and individual analyses can be found in Table 1.
Table 1
Single analyses for the associations between sleep medicine, sleep disturbances and suicidal behaviors (n = 21376)
 
Mean ± SD/n (%)
Suicidal ideation
t/\(\:{\chi\:}^{2}\)
Suicide plan
t/\(\:{\chi\:}^{2}\)
Suicide attempt
t/\(\:{\chi\:}^{2}\)
Yes
No
Yes
No
Yes
No
Observations
21,376 (100.0)
289 (1.4)
21,087 (98.6)
--
67 (0.3)
21,309 (99.7)
--
40 (0.2)
21,336 (99.8)
--
Gender
   
33.93***
  
1.41
  
0.02
 Male
9,839 (46.0)
84 (0.9)
9,755 (99.1)
 
26 (0.3)
9,813 (99.7)
 
18 (0.2)
9,821 (99.8)
 
 Female
11,537 (54.0)
205 (1.8)
11,332 (98.2)
 
41 (0.4)
11,496 (99.6)
 
22 (0.2)
11,515 (99.8)
 
Age (yr, mean ± SD)
50.85 ± 16.30
56.10 ± 14.50
50.78 ± 16.31
5.51***
55.22 ± 14.48
50.84 ± 16.30
2.20*
48.98 ± 16.97
50.85 ± 16.30
-0.73
Ethnicity
   
0.34
  
2.36
  
1.14
 Hans
20,094 (94.0)
274 (1.4)
19,820 (98.6)
 
60 (0.3)
20,034 (99.7)
 
36 (0.2)
20,058 (99.8)
 
 Others
1,282 (6.0)
15 (1.2)
1,267 (98.8)
 
7 (0.5)
1,275 (99.5)
 
4 (0.3)
1,278 (99.7)
 
Education
   
33.57***
  
7.10
  
2.57
 Illiteracy
2,691 (12.6)
55 (2.0)
2,636 (98.0)
 
9 (0.3)
2,682 (99.7)
 
2 (0.1)
2,689 (99.9)
 
 Elementary
5,264 (24.6)
96 (1.8)
5,168 (98.2)
 
25 (0.5)
5,239 (99.5)
 
11 (0.2)
5,253 (99.8)
 
 Middle school
8,274 (38.7)
99 (1.2)
8,175 (98.8)
 
23 (0.3)
8,251 (99.7)
 
15 (0.2)
8,259 (99.8)
 
 High school or above
5,147 (24.1)
39 (1.8)
5,108 (99.2)
 
10 (0.2)
5,137 (99.8)
 
12 (0.2)
5,135 (99.8)
 
Region
   
1.55
  
1.31
  
2.85
 Urban
5,100 (23.9)
60 (1.2)
5,040 (98.8)
 
12 (0.2)
5,088 (99.8)
 
5 (0.1)
5,095 (99.9)
 
 Rural
16,276 (76.1)
229 (1.4)
16,047 (98.6)
 
55 (0.3)
16,221 (99.7)
 
35 (0.2)
16,241 (99.8)
 
Living alone
   
31.84***
  
1.45
  
0.28
 Yes
1,193 (94.4)
38 (3.2)
1,155 (96.8)
 
6 (0.5)
1,187 (99.5)
 
3 (0.3)
1,190 (99.7)
 
 No
20,183 (5.6)
251 (1.2)
19,932 (98.8)
 
61 (0.3)
20,122 (99.7)
 
37 (0.2)
20,146 (99.8)
 
Insomnia
2.16 ± 3.39
6.32 ± 5.77
2.10 ± 3.31
21.26***
4.64 ± 5.69
2.15 ± 3.38
6.02***
3.10 ± 4.33
2.15 ± 3.39
1.76
Sleep apnea
   
5.69*
  
1.33
  
2.02
 High risk
2264 (10.6)
43 (1.9)
2221 (98.1)
 
10 (0.4)
2254 (99.6)
 
7 (0.3)
2257 (99.7)
 
 Low risk
19,112 (89.4)
246 (1.3)
18,866 (98.7)
 
57 (0.3)
19,055 (99.7)
 
33 (0.2)
19,079 (99.8)
 
RBD
5.55 ± 7.75
12.66 ± 13.58
5.45 ± 5.60
15.81***
13.64 ± 18.48
5.52 ± 7.68
8.58***
12.13 ± 15.70
5.53 ± 7.73
5.38***
Narcolepsy
3.76 ± 2.31
3.69 ± 3.22
3.76 ± 2.30
-0.47
4.96 ± 4.67
3.75 ± 2.30
4.26***
4.05 ± 2.62
3.75 ± 2.31
0.81
SRDU
   
351.61***
  
71.72***
  
23.20***
 Yes
575 (2.7)
59 (10.3)
516 (89.7)
 
13 (2.3)
562 (97.7)
 
6 (1.0)
569 (99.0)
 
 No
20,801 (97.3)
230 (1.1)
20,571 (98.9)
 
54 (0.3)
20,747 (99.7)
 
34 (0.2)
20,767 (99.8)
 
Note: * denotes to p < 0.05; *** denotes to p < 0.001; SRDU denotes to sleep related drugs utilization. RBD denotes to the scores of rapid eye movement sleep behavior disorder questionnaire. SD denotes to standard deviation
In Table 2, logistic regression analyses were performed to examine the associations between SRDU and suicidal behaviors, with and without controlling for sleep disorders. After adjusting for age, gender, ethnicity, educational level, marital status, region, and living alone, SRDU was significantly associated with suicidal ideation, as shown in Model 1 A (OR = 7.82, p < 0.001). Model 1B, which further controlled for insomnia, sleep apnea, RBD, and narcolepsy, found that suicidal ideation was significantly associated with SRDU (OR = 3.02, p < 0.001), insomnia (OR = 1.15, p < 0.001), sleep apnea (OR = 1.53, p < 0.05), RBD (OR = 1.04, p < 0.001), and narcolepsy (OR = 1.06, p < 0.05). In Model 2 A, the results supported that suicide planning was associated with SRDU (OR = 7.88, p < 0.001), after controlling for age, gender, ethnicity, educational level, married status, region, and living alone. When sleep disorders were controlled for, suicide planning was significantly associated with SRDU (OR = 4.78, p < 0.001), RBD (OR = 1.04, p < 0.001), and narcolepsy (OR = 1.16, p < 0.001). In Model 3 A, SRDU was significantly associated with suicide attempts (OR = 7.89, p < 0.001). After controlling for sleep disorders, suicide attempts were significantly associated with SRDU (OR = 6.40, p < 0.001) and RBD (OR = 1.05, p < 0.001).
Table 2
Logistic regressions for the associations between sleep medicine and suicidal behaviors [OR (95% CI)]
 
Suicidal ideation
 
Suicide plan
 
Suicide attempt
Model 1 A
Model 1B
Model 2 A
Model 2B
Model 3 A
Model 3B
Observations
21,376
21,376
 
21,376
21,376
 
21,376
21,376
SRDU
7.82 (5.71, 10.71)***
3.02 (2.11, 4.31)***
 
7.88 (4.13, 15.02)***
4.78 (2.24, 10.23)***
 
7.89 (3.11, 20.04)***
6.40 (2.14, 19.12)***
Insomnia
--
1.15 (1.12, 1.18)***
 
--
1.05 (0.99, 1.12)
 
--
0.99 (0.90, 1.08)
Sleep apnea
--
1.53 (1.09, 2.14)*
 
--
1.49 (0.75, 2.95)
 
--
1.77 (0.78, 4.04)
RBD
--
1.04 (1.03, 1.05)***
 
--
1.04 (1.02, 1.06)***
 
--
1.05 (1.03, 1.07)***
Narcolepsy
--
1.06 (1.01, 1.10)*
 
--
1.16 (1.09, 1.24)***
 
--
1.05 (0.93, 1.12)
Constant
0.01***
0.01***
 
0.004***
0.002***
 
0.01***
0.01***
R2
0.07
0.14
 
0.05
0.10
 
0.05
0.07
Note: OR denotes to odd ratios. CI denotes to confidence interval. * denotes to p < 0.05; *** denotes to p < 0.001. SRDU denotes to sleep related drugs utilization. RBD denotes to the scores of rapid eye movement sleep behavior disorder questionnaire. All the models (Model 1 A, 1B, 2 A, 2B, 3 A and 3B) were adjusted for age, gender, ethnicity, educational level, married status, region, and living alone
In Table 3, conditional suicidal behaviors were further analyzed and compared with GNS. Consistent with the models presented in Table 2, variables such as age, gender, ethnicity, educational level, marital status, region, and living status (living alone or not) were controlled across all models. In Model 4 A, SRDU was significantly associated with suicidal ideation (OR = 7.75, p < 0.001). After adjusting for related sleep disorders, SINPA was found to be associated with SRDU (OR = 2.46, p < 0.001), insomnia (OR = 1.18, p < 0.001), sleep apnea (OR = 1.55, p < 0.05), and RBD (OR = 1.04, p < 0.001). In Model 5 A, SRDU showed a strong association with SIP (OR = 8.20, p < 0.001). When controlling for sleep disorders in Model 5B, SIP was associated with SRDU (OR = 5.11, p < 0.001), insomnia (OR = 1.08, p < 0.05), and narcolepsy (OR = 1.19, p < 0.001). Model 6 A demonstrated that SA was significantly associated with SRDU (OR = 8.72, p < 0.001). In Model 6B, after further adjustments, SA was associated with SRDU (OR = 6.93, p < 0.001) and RBD (OR = 1.05, p < 0.001).
Table 3
Logistic regressions for the associations between sleep medicine and conditional suicidal behaviors, comparing with GNS [OR (95% CI)]
 
SINPA (Ref.= GNS)
 
SIP (Ref.= GNS)
 
SA (Ref.= GNS)
Model 4 A
Model 4B
Model 5 A
Model 5B
Model 6 A
Model 6B
Observations
201 (Ref.= 21087)
201 (Ref.= 21087)
 
48 (Ref.= 21087)
48 (Ref.= 21087)
 
40 (Ref.= 21087)
40 (Ref.= 21087)
SRDU
7.57 (5.26, 10.90)***
2.46 (1.64, 3.68)***
 
8.20 (3.82, 17.60)***
5.11 (2.09, 12.47)***
 
8.72 (3.43, 22.15)***
6.93 (2.40, 20.00)***
Insomnia
--
1.18 (1.15, 1.22)***
 
--
1.08 (1.01, 1.15)*
 
--
1.01 (0.92, 1.10)
Sleep apnea
--
1.55 (1.03, 2.32)*
 
--
1.23 (0.52, 2.92)
 
--
1.72 (0.75, 3.94)
RBD
--
1.04 (1.03, 1.05)***
 
--
1.02 (1.00, 1.05)
 
--
1.05 (1.03, 1.07)***
Narcolepsy
--
1.02 (0.96, 1.08)
 
--
1.19 (1.11, 1.28)***
 
--
1.07 (0.95, 1.21)
Constant
0.003***
0.01***
 
0.001***
< 0.001***
 
0.01***
0.01***
R2
0.09
0.18
 
0.05
0.09
 
0.05
0.08
Note: OR denotes to odd ratios. CI denotes to confidence interval. Ref. denotes to reference. * denotes p < 0.05; *** denotes p < 0.001. SRDU denotes to sleep related drugs utilization. RBD denotes to the scores of rapid eye movement sleep behavior disorder questionnaire. GNS denotes to general people without suicidal behaviors, SINPA denotes to suicidal ideator without suicide plan and attempt, SIP denotes to suicidal ideator with suicide plan, but not attempt suicide, and SA denotes to suicide attempters. All the models (Model 4 A, 4B, 5 A, 5B, 6 A and 6B) were adjusted for age, gender, ethnicity, educational level, married status, region, and living alone
Further logistic regression analyses were conducted to compare the differences in SRDU among various conditional suicidal behaviors. In Models 7 A, 8 A, and 9 A, no significant differences in SRDU were observed among the conditional suicidal behaviors (all p > 0.05). This finding remained consistent even after controlling for related sleep disorders, as indicated in Models 7B, 8B, and 9B, where no significant differences in SRDU among the conditional suicidal behaviors were found (all p > 0.05). Detailed information can be found in Table 4.
Table 4
Logistic regressions for the associations between sleep medicine and conditional suicidal behaviors among suicidal ideators [OR (95% CI)]
 
SIP (Ref.= SINPA)
 
SA (Ref.= SINPA)
 
SA (Ref.= SIP)
Model 7 A
Model 7B
Model 8 A
Model 8B
Model 9 A
Model 9B
Observations
48 (Ref.= 201)
48 (Ref.= 201)
 
40 (Ref.= 201)
40 (Ref.= 201)
 
40 (Ref.= 48)
40 (Ref.= 48)
SRDU
0.93 (0.40, 2.17)
1.62 (0.61, 4.28)
 
1.01 (0.36, 2.88)
2.53 (0.77, 8.34)
 
0.87 (0.23, 3.29)
1.00 (0.23, 4.40)
Insomnia
--
0.93 (0.86, 1.01)
 
--
0.84 (0.75, 0.93)***
 
--
0.91 (0.79, 1.04)
Sleep apnea
--
0.90 (0.33, 2.49)
 
--
2.04 (0.69, 6.05)
 
--
1.33 (0.34, 5.30)
RBD
--
0.99 (0.97, 1.03)
 
--
1.03 (0.99, 1.07)
 
--
1.04 (0.99, 1.09)
Narcolepsy
--
1.19 (1.06, 1.33)**
 
--
1.07 (0.92, 1.25)
 
--
0.85 (0.71, 1.01)
Constant
0.38
0.30
 
1.37
0.95
 
7.69
11.57
R2
0.09
0.19
 
0.23
0.33
 
0.22
0.30
Note: OR denotes to odd ratios. CI denotes to confidence interval. Ref. denotes to reference. ** denotes to p < 0.01; *** denotes to p < 0.001. SRDU denotes to sleep related drugs utilization. RBD denotes to the scores of rapid eye movement sleep behavior disorder questionnaire. SINPA denotes to suicidal ideator without suicide plan and attempt, SIP denotes to suicidal ideator with suicide plan, but not attempt suicide, and SA denotes to suicide attempters. All the models (Model 7 A, 7B, 8 A, 8B, 9 A and 9B) were adjusted for age, gender, ethnicity, educational level, married status, region, and living alone

Discussion

This study revealed several key findings. Firstly, the self-reported lifetime prevalence rates of suicidal ideation, planning, and attempts were 1.4%, 0.3%, and 0.2%, respectively. Secondly, SRDU was positively associated with suicidal ideation, planning, and attempts, even after controlling for insomnia, sleep apnea, RBD, and narcolepsy. Additionally, compared to GNS, SRDU was also positively associated with conditional suicidal behaviors. However, among individuals who had considered suicide, SRDU was not found to be associated with any further suicidal behaviors.
Regarding the first point, the prevalence rates of suicidal ideation, planning, and attempts in this study were significantly lower than those reported in previous research. A meta-analysis indicated that the prevalence rates of suicidal ideation and attempts among the Chinese community population were 3.9% and 0.8%, respectively [47]. The lower prevalence of suicidal behaviors observed in this study could be attributed to the decreasing trend of suicide rates in China. Recent years have seen a significant reduction in suicide rates in the country [48], which may also reflect a concurrent decline in the prevalence of suicidal ideation and attempts.
This study further confirmed that SRDU was positively associated with suicidal behaviors, even after adjusting for insomnia, sleep apnea, RBD, and narcolepsy. As mentioned in the Introduction, similar findings were supported by two national population-based samples without adjusting for sleep disturbances [17]. Several explanations might help us understand the link between SRDU and suicidal behaviors. The first explanation could be mental or sleep disorders. A study utilizing the Norwegian Prescription Database found that psychotropic medications were commonly prescribed before suicide, particularly antidepressants, hypnotics, and sedatives [49]. SRDU indicates more severe sleep problems, which are significant risk factors for suicidal behaviors [50]. The second explanation might be the adverse effects of sleep-related drugs. Previous studies have identified several adverse reactions to these drugs, such as cognitive impairment, respiratory depression, and suicidal ideation [51, 52], which are also risk factors for suicidal behaviors [52, 53]. The final explanation could be the misuse of sleep-related drugs. Overdosing on sleep medications is also a method of suicide [54], suggesting a direct link between SRDU and suicidal behaviors.
This study also examined the use of SRDU across different stages of suicide risk, finding that participants at any level of suicide risk were more likely to use sleep-related drugs compared to GNS. These results suggest that SRDU may be positively associated with all types of conditional suicidal behaviors. The reasons for these positive associations are likely similar to those identified in the relationship between SRDU and overall suicidal behaviors.
This study found no statistical differences in SRDU among individuals with SINPA, those with SIP, and SA, suggesting that SRDU does not influence the progression from suicidal ideation to attempt. While suicide is a continuum from ideation to action, and ideation is a known predictor for subsequent suicidal behaviors [55, 56], distinctions between ideation and action have been supported by other research [57, 58]. Investigations have also been conducted to explore factors that contribute to the transition from ideation to attempt [59]. To our knowledge, no study has documented differences in SRDU among these conditional suicidal behaviors. These findings suggest that SRDU may not act as a catalyst for moving from ideation to attempt; once individuals have considered suicide, the impact of SRDU appears limited, at least at the population level. Indeed, the marginal benefit of improving sleep quality in reducing suicidal behaviors was also observed in a previous population-based study [60].
Several limitations should be considered for interpreting the findings in this study. Firstly, because of the cross-sectional design, any causal relationships between SRDU and suicidal behaviors cannot be inferred. Secondly, the specific sleep drugs were not listed in the questionnaire, and the associations between SRDU and suicidal behaviors cannot be inferred into the particular sleep-related drugs. Thirdly, although all the scales about sleep distributions could evaluate the symptoms of sleep distributions with nice reliability and validity, any diagnoses cannot be made in this study. Finally, the data was collected by self-report, and the participants’ report may be not completely accurate. It may also cause some bias for the findings in this study.

Conclusions

This population-based study found that the prevalence of suicidal behaviors was low, yet SRDU was positively associated with suicidal ideation, planning, and attempts, even after controlling for insomnia, sleep apnea, RBD, and narcolepsy. However, SRDU did not impact the progression from suicidal ideation to attempts. Although a causal link between SRDU and suicidal behaviors cannot be established, the findings highlight that individuals using sleep-related drugs are at a higher risk of suicidal behaviors. Nonetheless, managing SRDU may not effectively prevent subsequent suicidal behaviors once individuals have considered suicide.
While the reasons for the positive association between SRDU and suicidal behaviors are difficult to pinpoint, this study suggests that SRDU could serve as an indicator of suicidal risk. This underscores the importance of monitoring individuals with SRDU for suicidal behaviors. Since this study did not specify particular sleep medications, future research could investigate the relationships between specific sleep medications and suicidal behaviors. This would further our understanding of the underlying reasons and mechanisms behind the association between SRDU and suicidal behaviors.

Acknowledgements

We would like to thank all the subjects for their participation in this study.

Declarations

The present study was conducted in accordance with the principles of the Declaration of Helsinki and the approval of the Institutional Review Board (IRB) of the Sixth People Hospital of Hebei province (Reference Number 201813). Written informed consent was obtained from all the participants.
Not applicable.

Competing interests

The authors declare no competing interests.
Open Access This article is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License, which permits any non-commercial use, sharing, 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 you modified the licensed material. You do not have permission under this licence to share adapted material derived from this article or parts of it. 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-nc-nd/4.0/.

Publisher’s note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Download
Titel
Sleep-related drugs utilization and suicide behaviors: a population-based study in China
Verfasst von
Yunshu Zhang
Bo Liu
Keqing Li
Hailing Jia
Hemin Shi
Yongqiao Liu
Jianfeng Li
Long Sun
Publikationsdatum
01.12.2025
Verlag
BioMed Central
Erschienen in
BMC Public Health / Ausgabe 1/2025
Elektronische ISSN: 1471-2458
DOI
https://doi.org/10.1186/s12889-025-21443-x
1.
Zurück zum Zitat WHO. Suicide worldwide in 2019: Global Health Estimates. In. Geneva, Switzerland; 2021. https://www.who.int/publications/i/item/9789240026643
2.
Zurück zum Zitat WHO. Preventing suicide: a global imperative. In. Geneva, Switzerland; 2014. https://www.who.int/publications/i/item/9789241564779
3.
Zurück zum Zitat Tucker RP, Cramer RJ, Langhinrichsen-Rohling J, Rodriguez-Cue R, Rasmussen S, Oakey-Frost N, Franks CM, Cunningham CCA. Insomnia and suicide risk: a multi-study replication and extension among military and high-risk college student samples. Sleep Med. 2021;85:94–104.PubMedCrossRef
4.
Zurück zum Zitat Hedstrom AK, Hossjer O, Bellocco R, Ye W, Trolle LY, Akerstedt T. Insomnia in the context of short sleep increases suicide risk. Sleep 2021, 44(4).
5.
Zurück zum Zitat Chan NY, Zhang J, Tsang CC, Li AM, Chan JWY, Wing YK, Li SX. The associations of insomnia symptoms and chronotype with daytime sleepiness, mood symptoms and suicide risk in adolescents. Sleep Med. 2020;74:124–31.PubMedCrossRef
6.
Zurück zum Zitat McCall WV. Insomnia is a risk factor for suicide-what are the next steps? Sleep. 2011;34(9):1149–50.PubMedPubMedCentralCrossRef
7.
Zurück zum Zitat Nadorff MR, Nazem S, Fiske A. Insomnia symptoms, nightmares, and suicide risk: duration of sleep disturbance matters. Suicide Life Threat Behav. 2013;43(2):139–49.PubMedCrossRef
8.
Zurück zum Zitat Song TH, Wang TT, Zhuang YY, Zhang H, Feng JH, Luo TR, Zhou SJ, Chen JX. Nightmare distress as a risk factor for suicide among adolescents with major depressive disorder. Nat Sci Sleep. 2022;14:1687–97.PubMedPubMedCentralCrossRef
9.
Zurück zum Zitat Chu CS, Huang KL, Bai YM, Su TP, Tsai SJ, Chen TJ, Hsu JW, Liang CS, Chen MH. Risk of suicide after a diagnosis of sleep apnea: a nationwide longitudinal study. J Psychiatr Res. 2023;161:419–25.PubMedCrossRef
10.
Zurück zum Zitat Kjaer Hoier N, Madsen T, Spira AP, Hawton K, Benros ME, Nordentoft M, Erlangsen A. Association between hospital-diagnosed sleep disorders and suicide: a nationwide cohort study. Sleep 2022, 45(5).
11.
Zurück zum Zitat Bishop TM, Walsh PG, Ashrafioun L, Lavigne JE, Pigeon WR. Sleep, suicide behaviors, and the protective role of sleep medicine. Sleep Med. 2020;66:264–70.PubMedCrossRef
12.
Zurück zum Zitat Littlewood DL, Russell K. Is there a role for sleep medicine in suicide prevention? Sleep Med. 2020;66:262–3.PubMedCrossRef
13.
Zurück zum Zitat Kalmbach DA, Cheng P, Ahmedani BK, Peterson EL, Reffi AN, Sagong C, Seymour GM, Ruprich MK, Drake CL. Cognitive-behavioral therapy for insomnia prevents and alleviates suicidal ideation: insomnia remission is a suicidolytic mechanism. Sleep 2022, 45(12).
14.
Zurück zum Zitat McCall WV. Targeting insomnia symptoms as a path to reduction of suicide risk: the role of cognitive behavioral therapy for insomnia (CBT-I). Sleep 2022, 45(12).
15.
Zurück zum Zitat Bertisch SM, Herzig SJ, Winkelman JW, Buettner C. National use of prescription medications for insomnia: NHANES 1999–2010. Sleep. 2014;37(2):343–9.PubMedPubMedCentralCrossRef
16.
Zurück zum Zitat Sun L, Li K, Zhang Y, Zhang L. Sleep-related healthcare use prevalence among adults with insomnia symptoms in Hebei, China: a population-based cross-sectional study. BMJ Open. 2022;12(8):e057331.PubMedPubMedCentralCrossRef
17.
Zurück zum Zitat Tubbs AS, Fernandez FX, Ghani SB, Karp JF, Patel SI, Parthasarathy S, Grandner MA. Prescription medications for insomnia are associated with suicidal thoughts and behaviors in two nationally representative samples. J Clin Sleep Med. 2021;17(5):1025–30.PubMedPubMedCentralCrossRef
18.
Zurück zum Zitat Sun L, Li K, Zhang Y, Zhang L. Carbon Monoxide Poisoning was Associated with Lifetime suicidal ideation: evidence from a Population-based cross-sectional study in Hebei Province, China. Int J Public Health. 2022;67:1604462.PubMedPubMedCentralCrossRef
19.
Zurück zum Zitat Pengpid S, Peltzer K. Prevalence and correlates of suicidal behavior among a national population-based sample of adults in Kiribati. Asia Pac Psychiatry. 2021;13(3):e12444.PubMedCrossRef
20.
Zurück zum Zitat Shi L, Que J-Y, Lu Z-A, Gong Y-M, Liu L, Wang Y-H, Ran M-S, Ravindran N, Ravindran AV, Fazel S, et al. Prevalence and correlates of suicidal ideation among the general population in China during the COVID-19 pandemic. Eur Psychiatry. 2021;64(1):e18.PubMedCrossRef
21.
Zurück zum Zitat Rubio A, Oyanedel JC, Bilbao M, Mendiburo-Seguel A, Lopez V, Paez D. Suicidal ideation mediates the relationship between affect and suicide attempt in adolescents. Front Psychol. 2020;11:524848.PubMedPubMedCentralCrossRef
22.
Zurück zum Zitat Kessler RC, Berglund P, Borges G, Nock M, Wang PS. Trends in suicide ideation, plans, gestures, and attempts in the United States, 1990–1992 to 2001–2003. JAMA. 2005;293(20):2487–95.PubMedCrossRef
23.
Zurück zum Zitat Lee S, Fung SC, Tsang A, Liu ZR, Huang YQ, He YL, Zhang MY, Shen YC, Nock MK, Kessler RC. Lifetime prevalence of suicide ideation, plan, and attempt in metropolitan China. Acta Psychiatrica Scandinavica. 2007;116(6):429–37.PubMedCrossRef
24.
Zurück zum Zitat Statistics NBo. Bulletin of the Seventh National Census in China (NO. 3). In. Beijing. China: National Bureau of Statistics; 2021.
25.
Zurück zum Zitat Sun L, Zhou C, Xu L, Li S, Kong F, Chu J. Suicidal ideation, plans and attempts among medical college students in China: the effect of their parental characteristics. Psychiatry Res. 2017;247:139–43.PubMedCrossRef
26.
Zurück zum Zitat Pei JH, Pei YX, Ma T, Du YH, Wang XL, Zhong JP, Xie Q, Zhang LH, Yan LX, Dou XM. Prevalence of suicidal ideation, suicide attempt, and suicide plan among HIV/AIDS: a systematic review and meta-analysis. J Affect Disord. 2021;292:295–304.PubMedCrossRef
27.
Zurück zum Zitat Eddy LD, Eadeh HM, Breaux R, Langberg JM. Prevalence and predictors of suicidal ideation, plan, and attempts, in first-year college students with ADHD. J Am Coll Health. 2020;68(3):313–9.PubMedCrossRef
28.
Zurück zum Zitat Ning K, Yan C, Zhang Y, Chen S. Regular Exercise with suicide ideation, suicide plan and suicide attempt in University students: data from the Health minds Survey 2018–2019. Int J Environ Res Public Health 2022, 19(14).
29.
Zurück zum Zitat Soldatos CR, Dikeos DG, Paparrigopoulos TJ. Athens Insomnia Scale: validation of an instrument based on ICD-10 criteria. J Psychosom Res. 2000;48(6):555–60.PubMedCrossRef
30.
Zurück zum Zitat Soldatos CR, Dikeos DG, Paparrigopoulos TJ. The diagnostic validity of the Athens Insomnia Scale. J Psychosom Res. 2003;55(3):263–7.PubMedCrossRef
31.
Zurück zum Zitat Chung KF, Kan KK, Yeung WF. Assessing insomnia in adolescents: comparison of Insomnia Severity Index, Athens Insomnia Scale and Sleep Quality Index. Sleep Med. 2011;12(5):463–70.PubMedCrossRef
32.
Zurück zum Zitat Sattler S, Seddig D, Zerbini G. Assessing sleep problems and daytime functioning: a translation, adaption, and validation of the Athens Insomnia Scale for non-clinical application (AIS-NCA). Psychol Health 2021:1–26.
33.
Zurück zum Zitat Okajima I, Nakajima S, Kobayashi M, Inoue Y. Development and validation of the Japanese version of the Athens Insomnia Scale. Psychiatry Clin Neurosci. 2013;67(6):420–5.PubMedCrossRef
34.
Zurück zum Zitat Jeong HS, Jeon Y, Ma J, Choi Y, Ban S, Lee S, Lee B, Im JJ, Yoon S, Kim JE, et al. Validation of the Athens Insomnia Scale for screening insomnia in South Korean firefighters and rescue workers. Qual Life Res. 2015;24(10):2391–5.PubMedCrossRef
35.
Zurück zum Zitat Ha SC, Lee DL, Abdullah VJ, van Hasselt CA. Evaluation and validation of four translated Chinese questionnaires for obstructive sleep apnea patients in Hong Kong. Sleep Breath. 2014;18(4):715–21.PubMedCrossRef
36.
Zurück zum Zitat Netzer NC, Stoohs RA, Netzer CM, Clark K, Strohl KP. Using the Berlin Questionnaire to identify patients at risk for the Sleep Apnea Syndrome. Ann Intern Med. 1999;131(7):485–91.PubMedCrossRef
37.
Zurück zum Zitat Gantner D, Ge JY, Li LH, Antic N, Windler S, Wong K, Heeley E, Huang SG, Cui P, Anderson C, et al. Diagnostic accuracy of a questionnaire and simple home monitoring device in detecting obstructive sleep apnoea in a Chinese population at high cardiovascular risk. Respirology. 2010;15(6):952–60.PubMedCrossRef
38.
Zurück zum Zitat Li SX, Wing YK, Lam SP, Zhang J, Yu MW, Ho CK, Tsoh J, Mok V. Validation of a new REM sleep behavior disorder questionnaire (RBDQ-HK). Sleep Med. 2010;11(1):43–8.PubMedCrossRef
39.
Zurück zum Zitat Zhou J, Zhang J, Li Y, Du L, Li Z, Lei F, Wing YK, Kushida CA, Zhou D, Tang X. Gender differences in REM sleep behavior disorder: a clinical and polysomnographic study in China. Sleep Med. 2015;16(3):414–8.PubMedCrossRef
40.
Zurück zum Zitat Shen Y, Li J, Schwarzschild M, Pavlova M, He S, Ascherio A, Wu S, Cui L, Gao X. Plasma urate concentrations and possible REM sleep behavior disorder. Ann Clin Transl Neurol. 2019;6(12):2368–76.PubMedPubMedCentralCrossRef
41.
Zurück zum Zitat Hublin C, Kaprio J, Partinen M, Koskenvuo M, Heikkila K. The Ullanlinna Narcolepsy Scale: validation of a measure of symptoms in the narcoleptic syndrome. J Sleep Res. 1994;3(1):52–9.PubMedCrossRef
42.
Zurück zum Zitat Wing YK, Li RH, Ho CK, Fong SY, Chow LY, Leung T. A validity study of Ullanlinna Narcolepsy Scale in Hong Kong Chinese. J Psychosom Res. 2000;49(5):355–61.PubMedCrossRef
43.
Zurück zum Zitat Sarkanen T, Alakuijala A, Partinen M. Ullanlinna Narcolepsy Scale in diagnosis of narcolepsy. Sleep 2019, 42(3).
44.
Zurück zum Zitat Dauvilliers Y, Lecendreux M, Lammers GJ, Franco P, Poluektov M, Causse C, Lecomte I, Lecomte JM, Lehert P, Schwartz JC, et al. Safety and efficacy of pitolisant in children aged 6 years or older with narcolepsy with or without cataplexy: a double-blind, randomised, placebo-controlled trial. Lancet Neurol. 2023;22(4):303–11.PubMedCrossRef
45.
Zurück zum Zitat Sun L, Li K, Zhang L, Zhang Y. Associations between Self-reported sleep disturbances and cognitive impairment: a Population-based cross-sectional study. Nat Sci Sleep. 2022;14:207–16.PubMedPubMedCentralCrossRef
46.
Zurück zum Zitat Ouyang H, Gao X, Zhang J. Symptom measures in pediatric narcolepsy patients: a review. Ital J Pediatr. 2021;47(1):124.PubMedPubMedCentralCrossRef
47.
Zurück zum Zitat Cao XL, Zhong BL, Xiang YT, Ungvari GS, Lai KY, Chiu HF, Caine ED. Prevalence of suicidal ideation and suicide attempts in the general population of China: a meta-analysis. Int J Psychiatry Med. 2015;49(4):296–308.PubMedPubMedCentralCrossRef
48.
Zurück zum Zitat Zhang J, Sun L, Liu Y, Zhang J. The change in suicide rates between 2002 and 2011 in China. Suicide Life Threat Behav. 2014;44(5):560–8.PubMedCrossRef
49.
Zurück zum Zitat Reneflot A, Kaspersen SL, Hauge LJ, Kalseth J. Use of prescription medication prior to suicide in Norway. BMC Health Serv Res. 2019;19(1):215.PubMedPubMedCentralCrossRef
50.
Zurück zum Zitat Sun L, Zhang J, Liu X. Insomnia Symptom, Mental disorder and suicide: a case-control study in Chinese Rural youths. Sleep Biol Rhythms. 2015;13(2):181–8.PubMedCrossRef
51.
Zurück zum Zitat American Society of Anesthesiologists Task Force on, Neuraxial O, Horlocker TT, Burton AW, Connis RT, Hughes SC, Nickinovich DG, Palmer CM, Pollock JE, Rathmell JP, Rosenquist RW, et al. Practice guidelines for the prevention, detection, and management of respiratory depression associated with neuraxial opioid administration. Anesthesiology. 2009;110(2):218–30.CrossRef
52.
Zurück zum Zitat Petrous J, Furmaga K. Adverse reaction with suvorexant for insomnia: acute worsening of depression with emergence of suicidal thoughts. BMJ Case Rep, 2017. https://doi.org/10.1136/bcr-2017-222037
53.
Zurück zum Zitat Gunak MM, Barnes DE, Yaffe K, Li Y, Byers AL. Risk of suicide attempt in patients with recent diagnosis of mild cognitive impairment or dementia. JAMA Psychiatry. 2021;78(6):659–66.PubMedPubMedCentralCrossRef
54.
Zurück zum Zitat Cai Z, Junus A, Chang Q, Yip PSF. The lethality of suicide methods: a systematic review and meta-analysis. J Affect Disord. 2022;300:121–9.PubMedCrossRef
55.
Zurück zum Zitat Simon GE, Yarborough BJ, Rossom RC, Lawrence JM, Lynch FL, Waitzfelder BE, Ahmedani BK, Shortreed SM. Self-reported suicidal ideation as a predictor of suicidal behavior among outpatients with diagnoses of psychotic disorders. Psychiatr Serv. 2019;70(3):176–83.PubMedCrossRef
56.
Zurück zum Zitat Large M, Corderoy A, McHugh C. Is suicidal behaviour a stronger predictor of later suicide than suicidal ideation? A systematic review and meta-analysis. Aust N Z J Psychiatry. 2021;55(3):254–67.PubMedCrossRef
57.
Zurück zum Zitat Koh YS, Shahwan S, Jeyagurunathan A, Abdin E, Vaingankar JA, Chow WL, Chong SA, Subramaniam M. Prevalence and correlates of suicide planning and attempt among individuals with suicidal ideation: results from a nationwide cross-sectional survey. J Affect Disord. 2023;328:87–94.PubMedCrossRef
58.
Zurück zum Zitat Barker J, Oakes-Rogers S, Lince K, Roberts A, Keddie R, Bruce H, Selvarajah S, Fish D, Aspen C, Leddy A. Can clinician’s risk assessments distinguish those who disclose suicidal ideation from those who attempt suicide? Death Stud 2023:1–11.
59.
Zurück zum Zitat Porras-Segovia A, Nobile B, Olie E, Gourguechon-Buot E, Garcia EB, Gorwood P, Abascal-Peiro S, Courtet P. Factors associated with transitioning from suicidal ideation to suicide attempt in the short-term: two large cohorts of depressed outpatients. J Affect Disord. 2023;335:155–65.PubMedCrossRef
60.
Zurück zum Zitat Sun L, Li K, Zhang Y, Zhang L. Differentiating the associations between sleep quality and suicide behaviors: a population-based study in China. J Affect Disord. 2022;297:553–8.PubMedCrossRef