Skip to main content
Erschienen in: Environmental Health and Preventive Medicine 1/2021

Open Access 01.12.2021 | Research article

Interaction of smoking and being bullied on suicidal behaviors: a school-based cross-sectional survey in China

verfasst von: Jie Hu, Xianbing Song, Danlin Li, Shuai Zhao, Yuhui Wan, Jun Fang, Shichen Zhang

Erschienen in: Environmental Health and Preventive Medicine | Ausgabe 1/2021

Abstract

Background

Suicidal behaviors are seriously social issues among adolescents in the world. Exposed to smoking and being bullied are risk factors of suicidal behaviors. The present study was aimed to examine the interaction of smoking and being bullied on suicidal behaviors among Chinese adolescents.

Methods

A total of 18,900 students were involved in the questionnaire study, in four cities of China from November 2017 to January 2018. Suicidal behaviors, smoking, and being bullied were measured by self-reported validated instruments. Chi-square tests and logistic regression were used to analyze the associations of suicidal ideation (SI)/suicidal plan (SP)/suicidal attempt (SA), smoking, and being bullied.

Results

The prevalence of smoking, being bullied, SI/SP/SA, were 3.1%, 20.6%, 26.4%, 13.2%, and 5.2% respectively. Interaction analysis indicated that being bullied was associated with a greater increase in the likelihood of suicidal behaviors for adolescents with smoking than for those without smoking.

Conclusions

These finding suggest that smoking exacerbates the association between being bullied and suicidal behaviors. Future research should explore how and why smoking appears to more bully-victims than for those without smoking and how to mitigate it.
Hinweise

Supplementary Information

The online version contains supplementary material available at https://​doi.​org/​10.​1186/​s12199-021-00999-1.
Jie Hu and Xianbing Song contributed equally to this work and should be considered co-first authors.

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Abkürzungen
SD
Standard deviation
SI
Suicidal ideation
SP
Suicidal plan
SA
Suicidal attempt
YRBSS
Youth Risk Behavior Survey System
CI
Confidence interval
OR
Odds ratio
HPA
Hypothalamic-pituitary-adrenocortical

Introduction

Suicide is a major health problem in adolescents. It is the second leading cause of death for adolescents [1]. Interestingly, suicidal ideation (SI), suicidal plan (SP), and suicidal attempt (SA) are precursors to completed suicide [2]. Therefore, SI/SP/SA are invaluable signals for preventing fatal incidents of suicide [3]. Moreover, suicidal behaviors are still serious social issues among adolescents in the world, which have been receiving more and more attentions [4]. The prevalence of suicidal behaviors varies in different countries and periods. For example, in America, the prevalence of adolescents SI/SP/SA in the past year was 17.2%, 13.6%, and 7.4%, respectively [5]. In rural areas of China, the prevalence rates of SI/SP/SA in the past year were 18.5%, 8.7%, and 4.1%, respectively [6]. There are a large number of factors underlying suicidal behaviors. The factors that place adolescents at risk of suicidal behaviors are complex and interactive, but the identification of these factors plays an important role in preventing suicidal behaviors.
Smoking is related to a variety of mental disorders including suicidal behaviors in adolescents [7]. Also, both smoking and suicidal behaviors cause psychosocial and economic burden in individuals. Although previous evidence indicated that adolescents who were smoking increased suicidal behaviors, it does not mean causation [8, 9]. In other words, suicidal behaviors are more common among smokers and the prevalence of smoking habits is higher among suicidal individuals [10]. Possible reasons may involve that smokers tend to occur higher levels of impulsivity than non-smokers [11]. Furthermore, a laboratory study has documented that repeated nicotine exposure resulted in the lower level of serotonin in critical regions of the brain of deceases smokers; however, one of the functions in serotonin is regulating emotion and potentially increasing the risk of suicidal behaviors in adolescents [9, 12, 13]. Accordingly, smoking should be regarded as a contributing factor for suicidal behaviors, and smoking prevention should also be the target of suicidal behaviors prevention programs.
Bullying is an intentional and repeated aggressive behavior that is based on physical, verbal, or other similar forms in which the power between perpetrators and victims is at an imbalance [14]. Notably, growing evidence has shown that among adolescents those being bullied had the highest risk of suicidal behaviors [15, 16]. Students who were bullied by their peers can lead to both physical and mental problems [17]. A cohort study has indicated that being bullied in adolescence is associated with elevated levels of suicidal behaviors that may persist into adulthood [18]. The causes of being bullied are multifactorial and emotional, cognitive, social, and behavioral problems were reported to be associated with being bullied among youth [15, 19, 20]. Being bullied among school-aged adolescents is a common issue worldwide. More recently, a lot of incidents by vicious being bullied have been reported and schools have become more care of bullying in China. Not surprisingly, there is an increasing number of boarding students and adolescents that spend the majority of their time on campus in China [21]. Meanwhile, a nationally representative sample study has shown that boarding students are also more likely to smoke [22]. This may be because these students spend most of their time with peers, including smoking peers, and lack parental monitoring.
Regarding smoking and being bullied, many studies indicated that they are regarded as risk factors for suicidal behaviors among adolescents; however, although smoking and being bullied highly correlated, very few studies examined the interaction between them. Adolescents with comorbid smoking and being bullied may represent clusters with a high risk of developing suicidal behaviors. A cohort study showed that being bullied were significant predictor of smoking initiation [23]. Furthermore, the 2012–2013 Youth Smoking Survey included 28,843 Canadian adolescent and youth has demonstrated that students who involved in being bullied had higher odds of smoking susceptibility compared to uninvolved students [24]. For these reasons, it is necessary and of importance to consider smoking as an interactive factor for suicidal behaviors among bullying victims, by which early prevention and intervention measures can be taken into consideration seriously to reduce suicidal behaviors. Therefore, the current study aims to investigate (1) associations of smoking and being bullied with suicidal behaviors and (2) the interaction of smoking and being bullied on suicidal behaviors among Chinese adolescents.

Methods

Participants and procedures

A school-based, cross-sectional questionnaire survey was carried out from November 2017 to January 2018, in 20,266 students by a convenient cluster sampling method, in four cities (Hefei in Anhui Province, Yangjiang in Guangdong Province, Shenyang in Liaoning Province, and Chongqing in one of China’s four direct-controlled municipalities) of China, including both urban and rural regions. The selected cities were broadly representative of the geographical distribution within China in terms of economic development level and cooperation agreements with this research group. Subsequently, samples were taken from 32 middle schools and 8 middle schools (4 in urban areas and 4 in rural regions) were selected for each target area. Finally, randomly select 4 to 6 classes from each grade in each school, and excluding participants who have a history of psychiatric disorders or are being treated with psychiatric medication (participants with psychiatric disorders were primarily self-reported or reported by parents). A total of 19,010 questionnaires were recovered, with a response rate of 93.8%. Excluding the non-completion (missing data > 5%) individuals, 18,900 valid questionnaires were included (10,386 junior high students and 8,514 senior high school students), with an effective response rate of 99.4%, which comprised 8,986 males and 9,914 females with a mean age of 15.1 years (SD = 1.8), ranging from 11.1 to 19.0 years. Most students completed the questionnaire during class time in 20–30 min with unified instructions. The investigator was responsible for the quality control of the questionnaire to answer the questions from the recipients and for collecting and proofreading the questionnaire. Students can opt out of this study without penalty if they were unwilling to participate. All procedures were approved by the Ethics Committee of Anhui Medical University (1 March 2014; approval number 20140087).

Measures

In this study, a self-report questionnaire was used to collect information on socio-demographic indications, including age, gender, grade (junior or senior high school), residential background (rural or urban), household structure (only one child or more than one child), self-reported family economy (bad, general or good), and number of friends (≤ 2, 3–5, or ≥ 6).
According to the Centers for Disease Control and Prevention definition of Youth Risk Behavior Survey System (YRBSS) [24], smoking was dichotomized by asking “During the past 30 days, how many days did you smoke cigarettes (e.g., traditional tobacco, e-cigarette)?”, where 0 day was coded as “no smoking” and other option coded as “smoking”. The question regarding being bullied was assessed by asking “During the past year, have you ever been bullied on school or cyber (include being ridiculed, threatened, spread rumors or bullied through texting, QQ, WeChat, and so on)?” Students who answered “yes” to this question were coded as “bullied”, while students who answered “no” to this question were coded as “not bullied” [25]. The next three questions ask about suicidal behaviors based on YRBSS [25]. The first question about SI was “During the past year, did you ever consider attempting suicide?” The second question, which was about SP was “During the past year, did you make a plan about how you would attempt suicide?” The last question about SA was, “During the past year, did you actually attempt suicide?” The answer was coded as a dichotomous variable (yes/no). The validity of adolescent self-reported data on behaviors related to smoking, being bullied and suicidal behaviors has been assessed [26, 27].

Statistical analysis

The Chi-square analysis of variance was used to assess group differences to their statistical significance. Logistic regression was performed to examine the associations of smoking and being bullied with SI/SP/SA and to estimate interactions for smoking and being bullied, we set two dichotomous indicator variables (not smoking and being bullied/smoking and being bullied) which were compared with the reference group (not smoking and not being bullied/smoking and not being bullied). Statistical significance was set at P < 0.05 (two-tailed). Statistical analysis was applied to SPSS 23.0 (SPSS Inc., Chicago, IL).

Results

Table 1 presented the prevalence of suicidal behaviors by frequency characteristics. Overall, 26.4%, 13.2%, and 5.2% of the students reported SI/SP/SA. All of the suicidal behaviors revealed statistically significant differences by father’s education level, mother’s education level, the self-reported family economy, number of friends, smoking, and being bullied (P < 0.001 for each, Table 1). Students who reported female, urban, and boarding student showed significantly higher rate of SI and SP (P < 0.05 for each, Table 1). Senior high school students reported higher incidence rate of SI and SA than junior school students (P < 0.05 for each, Table 1). Besides, suicidal behaviors revealed no statistically significant differences by any siblings (P > 0.05, Table 1).
Table 1
General characteristics of suicidal behaviors in the study population
Variable
Total sample
(n = 18,900)
Suicidal ideation (n = 4982)
Suicidal plan (n = 2493)
Suicidal attempt (n = 983)
n (%)
χ2
P
n (%)
χ2
P
n (%)
χ2
P
Gender
  
78.90
 < 0.001
 
8.64
0.003
 
0.46
0.496
 Male
8986 (47.5)
2100 (23.4)
  
1117 (12.4)
  
457 (5.1)
  
 Female
9914 (52.5)
2882 (29.1)
  
1376 (13.9)
  
526 (5.3)
  
Residential background
  
36.15
 < 0.001
 
28.90
 < 0.001
 
1.23
0.267
 Rural
9401 (49.7)
2296 (24.4)
  
1115 (11.9)
  
472 (5.0)
  
 Urban
9499 (50.3)
2686 (28.3)
  
1378 (14.5)
  
511 (5.4)
  
Any siblings
  
0.29
0.589
 
0.06
0.805
 
2.99
0.084
 Yes
10,081 (53.3)
2641 (26.2)
  
1324 (13.1)
  
498 (4.9)
  
 No
8819 (46.7)
2341 (26.5)
  
116 (13.3)
  
485 (5.5)
  
Grade
  
20.58
 < 0.001
 
3.45
0.063
 
9.65
0.002
 Junior high school
10,386 (55.0)
2601 (25.0)
  
1327 (12.8)
  
493 (4.7)
  
 Senior high school
8514 (45.0)
2381 (28.0)
  
1166 (13.7)
  
490 (5.8)
  
Accommodation type
  
15.04
 < 0.001
 
8.35
0.004
 
1.32
0.251
 Boarding student
9566 (50.6)
2639 (27.6)
  
1329 (13.9)
  
480 (5.0)
  
 Commuting student
9334 (49.4)
2343 (25.1)
  
1164 (12.5)
  
503 (5.4)
  
Father’s educational level
  
45.89
 < 0.001
 
61.04
 < 0.001
 
106.31
 < 0.001
  < High school degree
10,545 (55.8)
2701 (25.6)
  
1304 (12.4)
  
477 (4.5)
  
  ≥ High school degree
8136 (43.0)
2181 (26.8)
  
1124 (13.8)
  
463 (5.7)
  
 No father
219 (1.2)
100 (45.7)
  
65 (29.7)
  
43 (19.6)
  
Mother’s educational level
  
19.57
 < 0.001
 
36.60
 < 0.001
 
78.51
 < 0.001
  < High school degree
11,490 (60.8)
2948 (25.7)
  
1414 (12.3)
  
564 (4.9)
  
  ≥ High school degree
7217 (38.2)
1960 (27.2)
  
1032 (14.3)
  
382 (5.3)
  
 No mother
193 (1)
74 (38.3)
  
47 (24.4)
  
37 (19.2)
  
Self-reported family economy
  
181.91
 < 0.001
 
130.75
 < 0.001
 
100.89
 < 0.001
 Bad
2695 (14.2)
994 (36.9)
  
535 (19.9)
  
234 (8.7)
  
 General
13,374 (70.8)
3257 (24.4)
  
1567 (11.7)
  
566 (4.2)
  
 Good
2831 (15.0)
731 (25.8)
  
391 (13.8)
  
183 (6.5)
  
Number of friends
  
227.01
 < 0.001
 
105.97
 < 0.001
 
32.71
 < 0.001
  ≤ 2
4630 (24.5)
1584 (34.2)
  
809 (17.5)
  
314 (6.8)
  
 3–5
7719 (40.8)
1987 (25.7)
  
967 (12.5)
  
345 (4.5)
  
  ≥ 6
6551 (34.7)
1411 (21.5)
  
717 (10.9)
  
324 (4.9)
  
Smoking
  
230.30
 < 0.001
 
401.46
 < 0.001
 
866.89
 < 0.001
 Yes
579 (3.1)
311 (53.7)
  
237 (40.9)
  
185 (32.0)
  
 No
18,321 (96.9)
4671 (25.5)
  
2256 (12.3)
  
798 (4.4)
  
Being bullied
  
709.48
 < 0.001
 
569.18
 < 0.001
 
343.09
 < 0.001
 Yes
3891 (20.6)
1678 (43.1)
  
962 (24.7)
  
431 (11.1)
  
 No
15,009 (79.4)
3304 (22.0)
  
1531 (10.2)
  
552 (3.7)
  
Statistical methods: Chi-square test
Table 2 indicated the association between smoking, being bullied and SI/SP/SA. Both smoking and being bullied were independently associated with SI/SP/SA. After adjusting for the socio-demographic characteristic (gender, grade, residential background, any siblings, accommodation type, father’s education level, mother’s education level, self-reported family economy, number of friends), smoking was associated with SI (OR = 3.47, 95% CI 2.91–4.12), SP (OR = 4.83, 95% CI 4.03–5.78), and SA (OR = 9.47, 95% CI 7.74–11.59). In addition, participants being bullied had a higher SI (OR = 2.74, 95% CI 2.54–2.96), SP (OR = 2.83, 95% CI 2.58–3.11), and SA (OR = 3.14, 95% CI 2.74–3.60) incidence compared without being bullied. The interaction term of smoking and being bullied had impact on suicidal behaviors in comparison with the reference group (not smoking and not being bullied) (P < 0.001, Table 2). The OR of socio-demographic characteristic is in Additional file 1: Table 1A.
Table 2
Association of smoking, being bullied, and suicidal behaviors in Chinese adolescents
Variable
Suicidal ideation (n=4892)
Suicidal plan (n=2493)
Suicidal attempt (n=983)
n (%)
Crude OR
(95% CI)
Adjusted OR (95% CI)a
 
n (%)
Crude OR
(95% CI)
Adjusted OR (95% CI)a
 
n (%)
Crude OR
(95% CI)
Adjusted OR (95% CI)a
 
Smoking
 No
4671 (25.5)
Ref
Ref
 
2256 (12.3)
Ref
Ref
 
798 (4.4)
Ref
Ref
 
 Yes
311 (53.7)
3.39 (2.87–4.00)***
3.47 (2.91–4.12)***
 
237 (40.9)
4.94
(4.16–5.86)***
4.83 (4.03–5.78)***
 
185 (32.0)
10.31
(8.54–12.45)***
9.47 (7.74–11.59)***
 
Being bullied
 No
3304 (22.0)
Ref
Ref
 
1531 (10.2)
Ref
Ref
 
552 (3.7)
Ref
Ref
 
 Yes
1678 (43.1)
2.69 (2.49–2.89)***
2.74 (2.54–2.96)***
 
962 (24.7)
2.89
(2.64–3.16)***
2.83 (2.58–3.11)***
 
431 (11.1)
3.26
(2.86–3.72)***
3.14 (2.74–3.60)***
 
Smoking × being bullied
   
P*
   
P*
   
P*
 No × no
3142 (21.5)
Ref
Ref
 < 0.001
1416 (9.7)
Ref
Ref
 < 0.001
459(3.1)
Ref
Ref
 < 0.001
 Yes × yes
149 (70)
6.67
(4.97–8.96)***
6.23 (4.60–8.43)***
122 (57.3)
9.23
(7.01–12.14)***
8.17 (6.15–10.85)***
92 (43.2)
15.19
(11.49–20.08)***
11.98 (8.92–16.09)***
OR is odds ratio, CI is confidence interval; ***P < 0.001
P* is value of interaction between smoking and being bullied on suicidal behaviors in multiplicative model
a Adjusted for gender, grade, any siblings, residential background, accommodation type, father’s education level, mother’s education level, self-reported family economical, and number of friends
Individuals who only reported being bullied had a significantly increased risk of SI, SP, and SA compared with participants who were neither bullied nor smoking (ORsuicidal ideation = 2.69, 95% CI 2.48–2.91; ORsuicidal plan = 2.74, 95% CI 2.49–3.02; ORsuicidal attempt = 3.13, 95% CI 2.69–3.64; P < 0.001 for each) (Table 3). In addition, results displayed that, compared to students who were smoking and not bullied, the risks of SI, SP, and SA were significantly higher in students who were smoking and bullied (ORsuicidal ideation = 2.91, 95% CI 2.00–4.22; ORsuicidal plan = 2.82, 95% CI 1.96–4.06; ORsuicidal attempt = 2.07, 95% CI 1.42–3.02; P < 0.001 for each) (Table 3). The OR of socio-demographic characteristics in Additional file 1: Table 2A).
Table 3
ORs for the association between smoking and being bullied by suicidal behaviors among Chinese adolescents
Smoking
Being bullied
Suicidal ideation (n = 4982)
Suicidal plan (n = 2493)
Suicidal attempt (n = 983)
n (%)
Crude OR
(95% CI)
Adjusted OR (95% CI)a
P*
n (%)
Crude OR
(95% CI)
Adjusted OR (95% CI)a
P*
n (%)
Crude OR
(95% CI)
Adjusted OR
(95% CI)a
P*
No
No
3142 (21.5)
Ref
Ref
 < 0.001
1416 (9.7)
Ref
Ref
 < 0.001
459 (3.1)
Ref
Ref
 < 0.001
Yes
1529 (41.6)
2.60
(2.41–2.81)***
2.69
(2.48–2.91)***
840 (22.8)
2.77
(2.52–3.04)***
2.74
(2.49–3.02)***
339 (9.2)
3.14
(2.71–3.63)***
3.13
(2.69–3.64)***
Yes
No
162 (44.3)
Ref
Ref
115 (31.4)
Ref
Ref
93 (25.4)
Ref
Ref
Yes
149 (70.0)
2.93
(2.05–4.20)***
2.91
(2.00–4.22)***
122 (57.3)
2.93
(2.06–4.15)***
2.82
(1.96–4.06)***
92 (43.2)
2.23
(1.56–3.20)***
2.07
(1.42–3.02)***
***P < 0.001 compared with reference
P* is value of interaction between smoking and being bullied on suicidal behaviors in multiplicative model
aAdjusted for gender, grade, any siblings, residential background, accommodation type, father’s education level, mother’s education level, self-reported family economical, and number of friends

Discussion

In this study, we demonstrated that the prevalence of adolescents SI/SP/SA in the past year was 26.4%, 13.2%, and 5.2%, respectively, which is higher than two previous studies in China (SI (18.5%)/SP (8.7%)/SA (4.1%); SI (12.7%)/SP (3.3%)/SA (1.5%)), respectively [6, 28]. This may be related to different measures of cities or sample characteristics. The other possible reason is the increase in suicidal behaviors in Chinese adolescents. It is thus of great necessity to take measures to prevent suicidal behaviors. Furthermore, females indicated greater SI and SP than males, which was similarly reported in previous studies [28, 29]. It is known that females usually show higher rates of internalizing problems while males tend to externalizing problems during adolescence [29]. Students who were from urban, senior high school students, boarding students, and whose parents’ educational level above high school degree, and those with fewer friends and lower family economy condition were likely to experience different suicidal behaviors. Taken together, the causes of suicidal behaviors were associated with multiple social ecological conditions, including biological, cognitive factors, school, and family [3032].
The proportion of adolescents with smoking in this study was 3.1%, which is lower than data from 68 low-income and middle-income countries [33]. In recent years, many countries including China have adopted positively tobacco control policy. Consequently, the prevalence of smoking has been declining [3436]. Cigarette smoking is an important risk factor for non-communicable diseases worldwide. To our knowledge, more than three-quarters of the smoking population started smoking during their adolescence in China [37]. Regarding the associated factors, a study showed that smoking revealed significant associations with internalizing problems, externalizing problems, and family problems [38]. Consistent with previous studies, we found that smokers reported more suicidal behaviors than non-smokers [9, 38]. Therefore, effective smoking control may reduce the severity of psychological symptoms and other adverse health outcome.
Being bullied is a common experience during adolescence and can induce long-term physical and psychological consequences for adolescents [39]. In the current study, the prevalence of being bullied is lower than a study in 83 countries (20.6% vs. 35.3%) and higher than that reported in a previous study in China (20.6% vs. 18.99%) [16, 40]. This discrepancy may be contributed to methodological, age, cultural, and linguistic issues concerning the translation of “bullying” among countries [41]. A growing number of studies have shown that being bullied is a strong risk factor for the development of suicidal behaviors [16, 42]. Our findings also indicated that being bullied was significantly correlated with suicidal behaviors. Moreover, the logistic analyses indicated that smoking and being bullied were associated with suicidal behaviors independently and synergistically. Participants with smoking and being bullied were more likely to have more suicidal behaviors. Students without smoking and being bullied had fewer suicidal behaviors. Prochaska et al. reported that the risk of smoking initiation was significantly higher among students who were bully-victims [43]. Individuals who were bullied may be potentially at risk for smoking initiation, because of smoking is perceived as a maladaptive strategy to cope with anxiety, depression, and other intense emotions [44]. Bully-victims may engage in smoking as a cry for help, a way of self-protection, a sense of self-control, or a relief from the stress related to being bullied.
The mechanism of the associations between smoking, being bullied, and suicidal behaviors are complicated and not fully clarified. One possible explanation is that nicotine is a potent activator of the hypothalamic-pituitary-adrenocortical (HPA) axis and can activate the attenuated responsiveness of the HPA axis to psychological stress [45]. Notably, high level of HPA axis activity is considered a risk factor for suicidal behavior [46]. Being bullied, repeated stress commonly experienced, is associated with higher HPA axis activity and it has been involved in the development of suicide [47, 48]. Thus, smoking and being bullied may induce HPA axis activity and increase the risk of suicidal behaviors. Our findings extend prior work and add to the literature by emphasizing the interaction between smoking and being bullied on suicidal behaviors, which may be informative for the prevention and intervention of suicidal behaviors in Chinese adolescents.
However, the present study has several limitations that are worth noting. Firstly, the current study used cross-sectional data, and cause-effect relationships could not be determined. Secondly, all questions respond to self-reported data among adolescents, in which recall and reporting bias may exist. Thirdly, dichotomy used in this study for evaluating smoking, being bullied, and suicidal behaviors may be an over-simplification. Finally, it should be noted that our findings are based on school students; dropouts were not included in the report who may have more smoking, being bullied, and suicidal behaviors. However, this is a nationwide epidemiologic study with large samples among adolescents, and over time, trends are visible, allowing comparison to other studies.

Conclusion

Overall, our results indicated that a relatively high prevalence of suicidal behaviors was found among Chinese adolescents. Furthermore, the findings of our study indicate that smoking and being bullied are associated with suicidal behaviors, both independently and interactively. Meanwhile, interventions programs are needed to reduce both smoking and being bullied in adolescents, especially for those suffering both of them and future research should explore how and why smoking appears to more bully-victims than for those without smoking and how to mitigate it.

Acknowledgements

We frankly thank all participants and the schools involved in the survey, as well as other staff members on site.

Declarations

The study was approved by the Ethics Committee of the Anhui Medical University, and informed consent was signed by all the parents or guardians of participants.
Not applicable.

Competing interests

The authors declare that they have 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.

Unsere Produktempfehlungen

e.Med Interdisziplinär

Kombi-Abonnement

Für Ihren Erfolg in Klinik und Praxis - Die beste Hilfe in Ihrem Arbeitsalltag

Mit e.Med Interdisziplinär erhalten Sie Zugang zu allen CME-Fortbildungen und Fachzeitschriften auf SpringerMedizin.de.

Literatur
2.
Zurück zum Zitat Benjet C, Menendez D, Albor Y, Borges G, Orozco R, Medina-Mora ME. Adolescent predictors of incidence and persistence of suicide-related outcomes in young adulthood: a longitudinal study of mexican youth. Suicide Life-Threat. 2018;48(6):755–66. https://doi.org/10.1111/sltb.12397.CrossRef Benjet C, Menendez D, Albor Y, Borges G, Orozco R, Medina-Mora ME. Adolescent predictors of incidence and persistence of suicide-related outcomes in young adulthood: a longitudinal study of mexican youth. Suicide Life-Threat. 2018;48(6):755–66. https://​doi.​org/​10.​1111/​sltb.​12397.CrossRef
19.
Zurück zum Zitat Ortega R, Elipe P, Mora-Merchán JA, Genta ML, Brighi A, Guarini A, Smith PK, Thompson F, Tippett N. The emotional impact of bullying and cyberbullying on victims: a European cross-national study. Aggressive Behav. 2012;38(5):342–56. https://doi.org/10.1002/ab.21440.CrossRef Ortega R, Elipe P, Mora-Merchán JA, Genta ML, Brighi A, Guarini A, Smith PK, Thompson F, Tippett N. The emotional impact of bullying and cyberbullying on victims: a European cross-national study. Aggressive Behav. 2012;38(5):342–56. https://​doi.​org/​10.​1002/​ab.​21440.CrossRef
Metadaten
Titel
Interaction of smoking and being bullied on suicidal behaviors: a school-based cross-sectional survey in China
verfasst von
Jie Hu
Xianbing Song
Danlin Li
Shuai Zhao
Yuhui Wan
Jun Fang
Shichen Zhang
Publikationsdatum
01.12.2021
Verlag
BioMed Central
Erschienen in
Environmental Health and Preventive Medicine / Ausgabe 1/2021
Print ISSN: 1342-078X
Elektronische ISSN: 1347-4715
DOI
https://doi.org/10.1186/s12199-021-00999-1

Weitere Artikel der Ausgabe 1/2021

Environmental Health and Preventive Medicine 1/2021 Zur Ausgabe