Psychosocial problems and suicidal ideation in Chinese adolescents: findings from a longitudinal study
Original Article

Psychosocial problems and suicidal ideation in Chinese adolescents: findings from a longitudinal study

Xiulu Yang1#, Jingyi Wang1#, Tingting Wang2, Haijiang Lin2, Yuting Yang1, Xiaoxiao Chen2, Chaowei Fu1

1School of Public Health, Key Laboratory of Public Health Safety, NHC Key Laboratory of Health Technology Assessment, Fudan University, Shanghai, China; 2Taizhou City Center of Disease Prevention and Control, Taizhou, China

Contributions: (I) Conception and design: J Wang, X Chen, C Fu; (II) Administrative support: J Wang, H Lin, X Chen; (III) Provision of study materials or patients: T Wang, H Lin, X Chen; (IV) Collection and assembly of data: T Wang, X Yang, Y Yang; (V) Data analysis and interpretation: X Yang, J Wang; (VI) Manuscript writing: All authors; (VII) Final approval of manuscript: All authors.

#These authors contributed equally to this work.

Correspondence to: Chaowei Fu, PhD. School of Public Health, Key Laboratory of Public Health Safety, NHC Key Laboratory of Health Technology Assessment, Fudan University, No. 130, Dongan Road, Xuhui District, Shanghai 200032, China. Email: fcw@fudan.edu.cn; Xiaoxiao Chen, MSc. Taizhou City Center of Disease Prevention and Control, No. 608, Donghai Avenue, Jiaojing District, Taizhou 318000, China. Email: tzcdccxx@126.com.

Background: Few studies have explored the important role of different dimensions of emotional and behavioral problems (EBPs), perceived social support and loneliness in predicting suicidal ideation among Chinese adolescents. Based on a 6-month longitudinal study conducted in Taizhou high schools, we aimed to explore the associations between psychosocial problems and suicidal ideation in Chinese adolescents, and to ascertain whether co-occurring psychosocial problems increase suicidal ideation.

Methods: A total of 3,267 students were eligible for this analysis. Perceived social support was assessed using the Multidimensional Scale of Perceived Social Support. Loneliness and suicidal ideation were assessed using the University of California, Los Angeles (UCLA) 3-Item Loneliness Scale and one item from the Children’s Depression Inventory. The Strength and Difficulties Questionnaire assessed EBPs. Multivariable logistic regression models were used to estimate longitudinal associations between each psychosocial problem (lack of perceived social support from family, friends, and significant others, loneliness, emotional, conduct and peer problems, hyperactivity, and poor prosocial behavior) at baseline and suicidal ideation at follow-up. Multinomial logistic regression models were used to examine the association between the number of psychosocial problems at baseline and suicidal ideation at follow-up.

Results: The multivariable logistic regression results showed that after adjusting for baseline suicidal ideation, sociodemographic covariates and depressive symptoms, low level of perceived social support from family (OR =1.78; 95% CI: 1.10–2.87), emotional problems (OR =2.35; 95% CI: 1.41–3.79), and poor prosocial behavior (OR =1.74; 95% CI: 1.08–2.79) were significant predictors of suicidal ideation among the adolescents. The risk of suicidal thoughts increased as the number of psychosocial problems increased. The participants with five or more psychosocial problems had a higher risk of having serious suicidal thoughts than those with no problem (relative risk ratio =4.50; 95% CI: 2.13–9.49).

Conclusions: The study confirmed the predictive role of multiple psychosocial problems on suicidal ideation, and the accumulative effect of co-occurring psychosocial problems in magnifying the risk of suicidal ideation. More integrated and holistic approaches need to be taken to identify high-risk groups and provide interventions of suicidality in adolescents.

Keywords: Perceived social support; emotional and behavioral problems (EBPs); loneliness; suicidal ideation; adolescents


Submitted Dec 17, 2022. Accepted for publication Apr 18, 2023. Published online Jun 13, 2023.

doi: 10.21037/tp-22-676


Highlight box

Key findings

• Low level of perceived social support from family at baseline was associated with suicidal ideation at follow-up.

• Poor prosocial behavior and emotional problems were significant predictors of suicidal ideation.

• The risk of suicidal thoughts increased as number of psychosocial problems increased.

What is known and what is new?

• Low level of perceived social support from family at baseline and emotional problems were associated with suicidal ideation at follow-up.

• Poor prosocial behavior and emotional problems were significant predictors of suicidal ideation; the risk of suicidal thoughts increased as number of psychosocial problems increased.

What is the implication, and what should change now?

• The study confirmed the predictive role of multiple psychosocial problems on suicidal ideation, and the accumulative effect of co-occurring psychosocial problems in magnifying the risk of suicidal ideation.

• More integrated and holistic approaches need to be taken to identify high-risk groups and provide interventions of suicidality in adole.


Introduction

Adolescence is a period of transition from childhood to adulthood marked by dramatic changes in body, mind and behavior. During this transitional period, adolescents are vulnerable to psychosocial problems (1). Suicide is a common cause of death among teenagers, especially in recent decades, the number of deaths caused by suicide increased dramatically (2). Suicidal ideation is the first stage of suicidal behavior (3). Previous studies reported that the prevalence of suicidal ideation among Chinese adolescents was 13–24% and suicide attempt was 3–5% (4-6). Even though several risk factors of suicidal ideation have been reported, including psychological, environmental, and psychosocial factors (7), the predictors of suicidal ideation in Chinese adolescents remain unclear.

Findings from existing research show that adolescents with high perceived social support are likely to have better psychological well-being (8). Social support refers to the material or psychological assistance received from all aspects of society, including family, friends, community or organizations, and reflects the closeness and quality of one’s social ties (9). It can be further classified as received and perceived social support (10). Perceived social support refers to an individual’s beliefs about how much support is potentially available from their social relationships and about the quality of this support (11). Previous studies indicated that lower levels of perceived social support from family, friends, and significant others were associated with suicidal ideation, whereas the importance of support from different sources in predicting suicidal ideation remains controversial (12-14).

Apart from the lack of social support, emotional and behavioral problems (EBPs), such as emotional problems, conduct problems, hyperactivity, peer problems and poor prosocial behavior, are well-documented psychosocial problems in adolescents of having negative impact on their psychological well-being. The high prevalence of EBPs in adolescents is a common concern in both high-income (15,16) and low- and middle-income countries (17,18). There was an increasing trend of EBPs among Dutch adolescents from 1993 to 2003 (19). Previous research revealed that EBPs have a serious negative impact on mental health, social development, and quality of life among adolescents (20,21). A Spanish cross-sectional study demonstrated that higher levels of EBPs were associated with a higher risk of committing suicide (22). Existing evidence showed that emotional problems such as depression and anxiety were powerful risk factors for onset or recurrent suicidal ideation (23,24). A longitudinal study in college students found that the symptoms of attention deficit hyperactivity disorder seem to have no direct but indirect effect on suicidal ideation through both depressive symptoms and lowering of self-esteem (25). However, very few studies have investigated the longitudinal associations between multiple EBPs and suicidal ideation, and the evidence for the correlation of poor prosocial behavior and suicidal ideation was particularly scarce.

In addition, loneliness is a well-known psychosocial problem among teenagers. A study involving 25 countries documented that approximately 18.1% of secondary school students reported being friendless or lonely most of the time (26). A meta-analysis of prospective studies found that loneliness was a significant predictor of both suicidal ideation and behavior, and the associations were more likely to be identified in people aged 16–20 or over 58 years at baseline, thereby suggestive of a U-shaped trend with regard to age (26).

Although associations between various psychosocial problems and suicidal ideation have been reported, substantial studies on their relationships in adolescents are based on cross-sectional research, and longitudinal evidence is still scarce. Knowing which psychosocial problems are independently associated with suicidal ideation over time is important for a better understanding, prediction and treatment of suicide. Additionally, most of the existing evidence is from Western countries where individualism is the cultural norm, and a focus on more collectivist culture is required (26). Therefore, based on the 6-month longitudinal data among adolescents in Taizhou, China, this study aimed to explore the association between psychosocial problems and suicidal ideation, and to ascertain whether co-occurring psychosocial problems increase suicidal ideation. We present this article in accordance with the STROBE reporting checklist (available at https://tp.amegroups.com/article/view/10.21037/tp-22-676/rc).


Methods

Participants and design

The population-based longitudinal study was conducted among students of junior and senior high schools in Taizhou, Zhejiang province, China. The baseline survey was conducted between May 2021 and June 2021, and a 6-month follow-up was conducted between November 2021 and December 2021. This study used multistage cluster sampling and randomly sampled 15 junior and 16 senior high schools from six counties or districts in Taizhou City. Two classes were randomly chosen from each grade within the selected schools. All participants completed an online questionnaire through the Wenjuanxing platform (https://www.wjx.cn). The eligibility criteria for the study were: (I) students in junior or senior high school; (II) being able to read, understand, and complete the questionnaire independently; and (III) providing online informed consent. A total of 4,168 participants were recruited in the baseline survey. Those who were lost to follow-up (n=901) were excluded from the study. Finally, the remaining 3,267 participants were eligible for the analysis. The study was conducted in accordance with the Declaration of Helsinki (as revised in 2013). This study was approved by the Ethics Committee of Taizhou Central Hospital (No. 2022L-01-17). Informed consent was obtained from all participants.

Assessment of sociodemographic characteristics

Sociodemographic characteristics included gender (male or female), grade (junior high school or senior high school), household registration (rural or urban), only child (yes or no), economic status (poor, fair, or good), parental marriage (married or divorced/widowed), education of father and mother (primary school or lower, middle/high school, college or higher), death or serious illness of relatives or friends in the past 3 months (yes or no).

Assessment of psychosocial variables

Perceived social support

The present study used the 12-item Multidimensional Scale of Perceived Social Support (MSPSS) (27) to measure perceived social support. MSPSS included three dimensions: perceived social support from family (Fam), from friends (Fri), and from significant others (SO). Each subscale consisted of four items scored from 1 to 7 (very strongly disagree =1, strongly disagree =2, mildly disagree =3, neutral =4, mildly agree =5, strongly agree =6, very strongly agree =7). The subscale total scores were calculated by summing scores across items of that subscale ranging from 4–28, with lower scores indicating a lower level of perceived social support. The scores of each subscale were divided into three equal groups and the lowest group was designated as low level of perceived social support, the middle and the high group as high level of perceived social support. The Cronbach’s α of the total scale, family support, friends’ support, and significant others’ support was 0.88, 0.88, 0.90, and 0.87, respectively.

EBPs

The Strength and Difficulties Questionnaire (SDQ) (28) was a 25-item scale used to access EBPs. The student version of SDQ was used in this study, which included five subscales: emotional problems, conduct problems, hyperactivity, peer problems, and prosocial behavior. Each subscale consisted of five items scored from 0 to 2 (not true =0, somewhat =1, certainly true =2 with five reverse-scored items). The total score of a subscale was calculated by summing scores of the five items ranging from 0–10. Higher scores of subscales of emotional problems, conduct problems, hyperactivity and peer problems indicated a higher level of EBPs, while lower scores of prosocial subscale indicated poorer prosocial behavior. The scores of each subscale were divided into four categories (close to average, slightly raised/slightly lowered, high/low, and very high/very low). “Close to average” and “slightly raised/slightly lowered” were designated as the reference group, and “high/low” and “very high/very low” as another group. The Cronbach’s α of the SDQ in our sample was 0.85.

Loneliness

Loneliness was evaluated based on the 3-item UCLA Loneliness Scale (29). This scale comprised three questions that measure feelings of loneliness: relationship connectedness, social connectedness, and self-perceived isolation. Each question consisted of three items scored from 1 to 3 (hardly ever =1, some of the time =2, often =3). The total scores were calculated by summing scores of the three items ranging from 3–9, with higher scores indicating a higher level of loneliness. The total scores were divided into two categories (not lonely: 3–5; lonely: 6–9) (30). The Cronbach’s α of the loneliness scale in the present study was 0.86.

The number of psychosocial problems was calculated by summing the frequencies of nine types of problems, including loneliness, three perceived social support problems (lack of perceived social support from family, friends, and significant others), and five EBPs (emotional, conduct and peer problems, hyperactivity, and poor prosocial behavior). Then the number of psychosocial problems, ranging from 0 to 9, was divided into four levels: no (0 psychosocial problem), low level (1–2 problems), moderate level (3–4 problems), and high level (5 or more problems).

Assessment of suicidal ideation and depressive symptoms

Suicidal ideation was evaluated based on one item from the Chinese version of the Children’s Depression Inventory (CDI) (31,32). The item comprised three statements: (I) I do not think about killing myself; (II) I think about killing myself, but would not do it; (III) I want to kill myself. The participants were asked to choose the best statement that described their feelings and thoughts during the last two weeks. The responses were categorized into no or yes (but would not do it) vs. serious suicidal thoughts. The complete CDI is a 27-item scale used to assess children’s depressive symptoms. Each item consisted of three statements scored from 0 to 2 and accordingly total scores range from 0 to 54. This study set 19 as a cut-off value for depressive symptoms as recommended in several studies (33,34). The Cronbach’s α of the CDI in the present study was 0.83.

Statistical analysis

Participant characteristics at baseline were reported as frequencies and percentages within each category for categorical variables. Chi-square tests were used to compare the categorical variables between the two suicidal ideation groups at follow-up. With respect to psychosocial variables, descriptive statistics were reported as frequencies and percentages for the assessment at baseline and follow-up. The multivariable logistic regression models were used to determine the association between each psychosocial variable (three subscales of perceived social support, loneliness, and five subscales of EBPs) at baseline and suicidal ideation at follow-up, and to estimate the odds ratios (ORs) and 95% confidence intervals (CIs). Model 1 adjusted for baseline suicidal ideation; model 2 added sociodemographic factors (gender, grade, household registration, only child, economic status, parental marital status, mother’s and father’s education, death or serious illness of relatives or friends in the past three months); and model 3 additionally adjusted for baseline depressive symptoms except for the predictor of emotional problems as they considerably overlap with CDI. The multinomial logistic regression models were used to examine the association between the number of psychosocial problems at baseline and suicidal ideation at follow-up, and to estimate the relative risk ratios (RRRs) and 95% CIs. The model adjusted for baseline suicidal ideation, gender, grade, household registration, only child, economic status, parental marital status, mother’s and father’s education, and death or serious illness of relatives or friends. All statistical tests were two-sided and P<0.05 was considered statistically significant. All analyses were performed in R software (Version 4.1.0; R Foundation for Statistical Computing, Vienna, Austria).


Results

Baseline characteristics of participants

Descriptive information for the baseline characteristics is shown in Table 1. Totally, 3,267 eligible participants were included in this study. Of all the participants, more than half were boys and junior high school students. The prevalence of serious suicidal ideation was 3.8% at baseline and 3.1% at follow-up. Approximately 20.6% of the students reported depressive symptoms. When comparing baseline characteristics of the participants by suicidal ideation status at follow-up, the results showed that students in junior high school, whose parental marital status being divorced or widowed, whose father’s education being college or higher, whose relatives or friends died or suffered serious illness in the past three months and those with depressive symptoms at baseline were more likely to have serious suicidal thoughts at follow-up (Table 1).

Table 1

Baseline characteristics of the study participants by suicidal ideation status at follow-up

Variable Overall Suicidal ideation P value
No/yes (but would not do it) Serious suicidal thoughts
N 3,267 3,167 (96.9) 100 (3.1)
Gender, n (%)
   Male 1,665 (51.0) 1,620 (51.2) 45 (45.0) 0.267
   Female 1,602 (49.0) 1,547 (48.8) 55 (55.0)
Grade, n (%)
   Junior high school 1,852 (56.7) 1,783 (56.3) 69 (69.0) 0.015
   Senior high school 1,415 (43.3) 1,384 (43.7) 31 (31.0)
Household registration, n (%)
   Rural 2,136 (65.4) 2,077 (65.6) 59 (59.0) 0.209
   Urban 1,131 (34.6) 1,090 (34.4) 41 (41.0)
Only child, n (%)
   No 2,260 (69.2) 2,195 (69.3) 65 (65.0) 0.419
   Yes 1,007 (30.8) 972 (30.7) 35 (35.0)
Economic status, n (%)
   Poor 184 (5.6) 174 (5.5) 10 (10.0) 0.111
   Fair 2,472 (75.7) 2,403 (75.9) 69 (69.0)
   Good 611 (18.7) 590 (18.6) 21 (21.0)
Parental marital status, n (%)
   Married 2,927 (89.6) 2,845 (89.8) 82 (82.0) 0.018
   Divorced/widowed 340 (10.4) 322 (10.2) 18 (18.0)
Mother’s education, n (%)
   Primary school or lower 608 (18.6) 594 (18.8) 14 (14.0) 0.346
   Middle/high school 2,246 (68.7) 2,176 (68.7) 70 (70.0)
   College or higher 413 (12.6) 397 (12.5) 16 (16.0)
Father’s education, n (%)
   Primary school or lower 453 (13.9) 443 (14.0) 10 (10.0) 0.015
   Middle/high school 2,396 (73.3) 2,328 (73.5) 68 (68.0)
   College or higher 418 (12.8) 396 (12.5) 22 (22.0)
Death or serious illness of relatives or friends, n (%) 0.003
   No 2,746 (84.1) 2,673 (84.4) 73 (73.0)
   Yes 521 (15.9) 494 (15.6) 27 (27.0)
Depressive symptoms, n (%) <0.001
   No 2,595 (79.4) 2,558 (80.8) 37 (37.0)
   Yes 672 (20.6) 609 (19.2) 63 (63.0)

Table 2 presents the descriptive results of psychosocial variables at baseline and follow-up. Around 30% of the participants reported low social support and loneliness. The percentage of students who experienced emotional problems was 17.2%, 8.8% of conduct problems, 9.7% of hyperactivity, 34.9% of peer problems and 19.8% of poor prosocial behavior. The frequencies and percentages of psychosocial problems were similar between baseline and follow-up, although the prevalence of conduct problems and poor prosocial behavior appeared to increase at follow-up.

Table 2

Frequencies of psychosocial variables at baseline and follow-up

Psychosocial variables Baseline Follow-up
Fam, n (%)
   High 2,314 (70.8) 2,314 (70.8)
   Low 953 (29.2) 953 (29.2)
Fri, n (%)
   High 2,337 (71.5) 2,337 (71.5)
   Low 930 (28.5) 930 (28.5)
SO, n (%)
   High 2,198 (67.3) 2,198 (67.3)
   Low 1,069 (32.7) 1,069 (32.7)
Loneliness, n (%)
   No 2,384 (73.0) 2,470 (75.6)
   Yes 883 (27.0) 797 (24.4)
Emotional problems, n (%)
   Close to average/slightly raised 2,706 (82.8) 2,779 (85.1)
   High/very high 561 (17.2) 488 (14.9)
Conduct problems, n (%)
   Close to average/slightly raised 2,981 (91.2) 2,934 (89.8)
   High/very high 286 (8.8) 333 (10.2)
Hyperactivity, n (%)
   Close to average/slightly raised 2,949 (90.3) 2,967 (90.8)
   High/very high 318 (9.7) 300 (9.2)
Peer problems, n (%)
   Close to average/slightly raised 2,128 (65.1) 2,160 (66.1)
   High/very high 1,139 (34.9) 1,107 (33.9)
Prosocial behavior, n (%)
   Close to average/slightly lowered 2,620 (80.2) 2,552 (78.1)
   Low/very low 647 (19.8) 715 (21.9)

Fam, perceived social support from family; Fri, perceived social support from friends; SO, perceived social support from significant others.

Association between psychosocial problems at baseline and suicidal ideation at follow-up

In the logistic regression models, the association between psychosocial problems at baseline and suicidal ideation at follow-up is presented in Table 3. When baseline suicidal ideation was adjusted in model 1, low level of perceived social support from family, friends and significant others, loneliness, emotional problems, hyperactivity, and poor prosocial behavior significantly predicted suicidal ideation at follow-up. After the adjustment for sociodemographic covariates and baseline suicidal ideation in model 2, the associations were still significant. After further adjustment for baseline depressive symptoms in model 3 (except for emotional problems), low level of perceived social support from family (OR =1.78; 95% CI: 1.10–2.87), emotional problems (OR =2.35; 95% CI: 1.41–3.79), and poor prosocial behavior (OR =1.74; 95% CI: 1.08–2.79) were significant predictors of suicidal ideation.

Table 3

Psychosocial variables at baseline predicting suicidal ideation at follow-up

Psychosocial variables Suicidal ideation
Model 1 Model 2 Model 3
OR (95% CI) P value OR (95% CI) P value OR (95% CI) P value
Fam (ref: high) 2.63 (1.70–4.09) <0.001 2.45 (1.55–3.86) <0.001 1.78 (1.10–2.87) 0.018
Fri (ref: high) 1.81 (1.17–2.80) 0.007 1.84 (1.18–2.86) 0.007 1.21 (0.74–1.96) 0.439
SO (ref: high) 2.33 (1.50–3.65) <0.001 2.33 (1.48–3.68) <0.001 1.49 (0.90–2.48) 0.121
Loneliness (ref: no) 1.88 (1.21–2.92) 0.005 1.89 (1.20–2.97) 0.006 1.09 (0.65–1.82) 0.750
Emotional problems (ref: close to average/slightly raised) 2.41 (1.50–3.81) <0.001 2.35 (1.43–3.79) <0.001 2.35 (1.41–3.79) <0.001
Conduct problems (ref: close to average/slightly raised) 1.41 (0.77–2.47) 0.250 1.40 (0.76–2.49) 0.261 0.97 (0.51–1.74) 0.909
Hyperactivity (ref: close to average/slightly raised) 2.09 (1.22–3.47) 0.006 1.96 (1.12–3.34) 0.015 1.28 (0.72–2.22) 0.392
Peer problems (ref: close to average/slightly raised) 1.44 (0.93–2.21) 0.098 1.42 (0.91–2.20) 0.123 0.97 (0.60–1.55) 0.896
Prosocial behavior (ref: close to average/slightly lowered) 2.29 (1.45–3.55) <0.001 2.28 (1.44–3.58) <0.001 1.74 (1.08–2.79) 0.021

Model 1: adjusted for baseline suicidal ideation; Model 2: adjusted for baseline suicidal ideation, gender, grade, household registration, only child, economic status, parental marital status, mother’s and father’s education, death or serious illness of relatives or friends in the past 3 months; Model 3: model 2 plus baseline depressive symptoms except for emotional problems. Fam, perceived social support from family; Fri, perceived social support from friends; SO, perceived social support from significant others; OR, odds ratio; 95% CI, 95% confidence interval.

Table 4 presents the multinomial logistic regression results between the number of psychosocial problems and suicidal ideation. After the adjustment for sociodemographic covariates and baseline suicidal ideation, low level of psychosocial problems (1–2 problems) significantly predicted students’ mild suicidal thoughts (RRR =1.59; 95% CI: 1.25–2.01) rather than serious suicidal thoughts (RRR =1.68; 95% CI: 0.77–3.64) compared with those who had no psychosocial problem. However, moderate level of psychosocial problems (3–4 problems) was a significant predictor of both mild (RRR =1.98; 95% CI: 1.53–2.57) and serious (RRR =2.31; 95% CI: 1.05–5.08) suicidal thoughts. Also, participants with high level of psychosocial problems (5 or more problems) were 2.5 and 4.5 times more likely to have mild (RRR =2.50; 95% CI: 1.88–3.31) and serious (RRR =4.50; 95% CI: 2.13–9.49) suicidal thoughts compared with no psychosocial problem.

Table 4

Multinomial logistic regression between the number of psychosocial problems and suicidal ideation

Number of psychosocial problems Suicidal ideation
No Yes (but would not do it) Serious suicidal thoughts
RRR (95% CI) P value RRR (95% CI) P value
No (0 psychosocial problem) Ref
Low level (1–2 psychosocial problems) 1.59 (1.25–2.01) <0.001 1.68 (0.77–3.64) 0.192
Moderate level (3–4 psychosocial problems) 1.98 (1.53–2.57) <0.001 2.31 (1.05–5.08) 0.038
High level (5 or more psychosocial problems) 2.50 (1.88–3.31) <0.001 4.50 (2.13–9.49) <0.001

Model adjusted for baseline suicidal ideation, gender, grade, household registration, only child, economic status, parental marital status, mother’s and father’s education, death or serious illness of relatives or friends in the past 3 months. RRR, relative risk ratio.


Discussion

In the present study, the association between psychosocial problems and suicidal ideation was explored based on a 6-month longitudinal study in Taizhou, China. Around 30% of the participants reported low social support and loneliness. The percentage of students who experienced emotional problems was 17.2%, conduct problems 8.8%, hyperactivity 9.7%, peer problems 34.9% and poor prosocial behavior 19.8%. The prevalence of serious suicidal ideation was 3.1%. Multiple baseline psychosocial problems were found to be associated with suicidal ideation at follow-up, including low level of perceived social support from family, friends and significant others, loneliness, emotional problems, hyperactivity, and poor prosocial behavior. Although the adjustment of depressive symptoms reduced the effect size of some associations, the low level of perceived social support from family, emotional problems, and prosocial problems remained to be significant predictors of suicidal ideation. Additionally, the risk of suicidal thoughts increased when the adolescents had a larger number of psychosocial problems. Thus, the accumulation of psychosocial problems was related to more severe suicidal thoughts.

Previous research indicated that perceived social support may protect against suicidal ideation (35). A population-based cohort study reported the association between higher perceived social support and lower risk of suicidal ideation during the transition into emerging adulthood (36). Although all the three dimensions of perceived social support were shown to be associated with suicidal ideation in this study, the low level of perceived social support from family rather than from friends or significant others predicted suicidal ideation independent of depressive symptoms. Our finding was consistent with another longitudinal study where family support acted as a crucial role in protecting against suicidal behaviors (13). Adolescents with good family connectedness are more likely to have confidence and power inside and their family can provide tangible and emotional support in a time when they are vulnerable to psychosocial problems (37,38). As a unit of social network, family members communicate and interact in many ways. Family cohesion and family member involvement have a positive impact on adolescents’ emotional intelligence and psychological well-being (39). This is in line with several studies which documented that strong family ties and close connectedness reduce the risk of suicidal ideation (40-42).

The results of adjusted logistic regression models showed that SDQ subscales, including emotional problems, hyperactivity and prosocial behavior, significantly predicted suicidal ideation, although the association between hyperactivity and suicidal ideation was not independent of depressive symptoms. Emotional problems were positively associated with the risk of suicidal ideation, whereas prosocial behavior was reversely associated with the risk of suicidal ideation. Similar results were reported in southern China (43), India (44) and Israel (45), which found that emotional problems increased the risk of suicidal ideation, attempts and behavior in adolescents. Several researchers have suggested that emotional problems including nervousness, fear, and worry were risk factors of suicidal behaviors (46,47).

However, few studies have explored the association between prosocial behavior and suicide. Prosocial behaviors are characterized by a concern for the feelings, rights and welfare of others. The measure of prosocial behavior in the SDQ includes actions such as comforting, helping and sharing. In this study, the results showed that poor prosocial behavior significantly predicted suicidal ideation. Xiao et al. (48) also reported similar results for the above two variables. Prosocial behavior was negatively associated with anxiety (49) and depressive symptoms (50-52) and was positively associated with self-esteem (53). A study conducted in Sweden and China found that psychological well-being was strongly related to an individual’s tendency to perform prosocial behaviors during the COVID-19 pandemic (54). Self-esteem may mediate the effects of altruism on well-being (55). Research has also shown that people who engage in prosocial behaviors are more likely to experience better moods and have social support benefits, and suffer less from the impact of stress (56). In addition, being responsible for someone else is favorable to building resiliency in adolescents. Prosocial behavior may help adolescents feel valuable and important, and nurture positive self-view. The multiple positive effects of prosocial behavior on psychological health may ultimately result in the reduced risk of committing suicide.

Loneliness is a common risk factor of suicidal thoughts. After adjusting for sociodemographic covariates and baseline suicidal ideation, loneliness significantly predicted suicidal ideation in this current study. However, after further adjusting for depressive symptoms, the effect size was largely reduced and the confidence interval became wider. One reason may be that depressive symptoms mediated the relationship between loneliness and suicidal ideation. Findings of a cross-sectional study showed that depressive symptoms partially explained the association between loneliness and suicidal ideation (57). A systematic review which involved meta-analytic mediation model found that depression acted as a mediator of the association between loneliness and later suicidal ideation and/or behavior (26). Moreover, the systematic review reported that loneliness was more strongly associated with suicidal ideation and behavior in the studies with longer term of follow-up compared to short-term follow-up (26). If loneliness persists over long time, its impact on committing suicide may be more pernicious. Therefore, more long-term prospective studies are needed to ascertain the effect of loneliness on suicidal ideation and the role of depression in their relationship. Furthermore, it was found that the moderate and high levels of psychosocial problems were significant predictors of both mild and serious suicidal thoughts in the present study. As the number of psychosocial problems increased, the risk of having suicidal thoughts increased accordingly. When adolescents have several psychosocial problems at the same time, prompt attention and intervention should be provided.

Based on the 6-month longitudinal study, we considered the predictive role of a variety of dimensions of perceived social support, loneliness and EBPs on changes in suicidal ideation. The key strengths of this study included a longitudinal design and the estimation of the accumulative effect of multiple psychosocial problems. The findings emphasized the importance of controlling and preventing adolescents’ suicidal ideation from the perspective of perceived social support from family, emotional problems and prosocial behavior. However, there are several limitations to be noted. First, the period of follow-up was not very long to identify clear longitudinal associations. Second, suicidal ideation was measured by just one item from the CDI due to the concern for potential adverse effects to do it with a suicide scale, and more detailed information about suicidal thoughts, attempts and behavior cannot be captured by this. As suicide in adolescents is a very sensitive issue in China, using one item in CDI is a more feasible way to measure suicidal ideation in schools. Third, this study only included students from one city in China, and thus it remains unclear whether the findings from this sample can be generalized to adolescents of other geographical regions. Future studies which cover multiple areas and have a longer follow-up period are needed to clearly establish the relationships and potential pathways.


Conclusions

In summary, this longitudinal study of Chinese adolescents demonstrated that perceived social support from family, prosocial behavior, and emotional problems were strong predictors of suicidal ideation over a 6-month follow-up period. It also confirmed the effect of multiple psychosocial problems in magnifying the risk of suicidal ideation. A more integrated and holistic intervention which combines psychological, social and behavioral aspects may be beneficial to prevent suicide in adolescents. Additionally, strengthening the potential resilience resources and ability, especially social support from family and prosocial behavior, is constructive in buffering the effects of risk factors on suicidality.


Acknowledgments

The authors would like to thank the staff of the Center of Disease Prevention and Control in Taizhou City, Zhejiang Province, China, and all the teachers in the participating school for their help.

Funding: JW was sponsored by Shanghai Pujiang Program (No. 2020PJC005), National Natural Science Foundation of China (No. 72104053), and China Medical Board (No. #22-472). HL and XC were sponsored by Taizhou City Foundation for Talents (No. TZ2022-2). TW and XC were sponsored by Science and Technology Plan Projects of Taizhou (No. 22ywa62). The funders had no role in the study design, data collection and analysis, decision to publish, or preparation of the manuscript.


Footnote

Reporting Checklist: The authors have completed the STROBE reporting checklist. Available at https://tp.amegroups.com/article/view/10.21037/tp-22-676/rc

Data Sharing Statement: Available at https://tp.amegroups.com/article/view/10.21037/tp-22-676/dss

Conflicts of Interest: All authors have completed the ICMJE uniform disclosure form (available at https://tp.amegroups.com/article/view/10.21037/tp-22-676/coif). JW was sponsored by Shanghai Pujiang Program (No. 2020PJC005) and National Natural Science Foundation of China (No. 72104053); and reports that this work was also supported by the Shanghai Leading Academic Discipling Project of Public Health (No. GWV-10.1-XK18). TW was sponsored by Science and Technology Plan Projects of Taizhou (No. 22ywa62). HL was sponsored by Taizhou City Foundation for Talents (No. TZ2022-2). XC was sponsored by Taizhou City Foundation for Talents (No. TZ2022-2), and Science and Technology Plan Projects of Taizhou (No. 22ywa62). The other authors have no conflicts of interest to declare.

Ethical Statement: The authors are accountable for all aspects of the work in ensuring that questions related to the accuracy or integrity of any part of the work are appropriately investigated and resolved. The study was conducted in accordance with the Declaration of Helsinki (as revised in 2013), and was approved by the Ethics Committee of Taizhou Central Hospital (No. 2022L-01-17). Informed consent was obtained from all participants.

Open Access Statement: This is an Open Access article distributed in accordance with the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International License (CC BY-NC-ND 4.0), which permits the non-commercial replication and distribution of the article with the strict proviso that no changes or edits are made and the original work is properly cited (including links to both the formal publication through the relevant DOI and the license). See: https://creativecommons.org/licenses/by-nc-nd/4.0/.


References

  1. Paus T, Keshavan M, Giedd JN. Why do many psychiatric disorders emerge during adolescence? Nat Rev Neurosci 2008;9:947-57. [Crossref] [PubMed]
  2. Shain BCommittee on Adolescence. Suicide and Suicide Attempts in Adolescents. Pediatrics 2016;138:e20161420. [Crossref] [PubMed]
  3. Macalli M, Tournier M, Galéra C, et al. Perceived parental support in childhood and adolescence and suicidal ideation in young adults: a cross-sectional analysis of the i-Share study. BMC Psychiatry 2018;18:373. [Crossref] [PubMed]
  4. Guo L, Wang W, Du X, et al. Associations of Substance Use Behaviors With Suicidal Ideation and Suicide Attempts Among US and Chinese Adolescents. Front Psychiatry 2020;11:611579. [Crossref] [PubMed]
  5. Peng Z, Klomek AB, Li L, et al. Associations between Chinese adolescents subjected to traditional and cyber bullying and suicidal ideation, self-harm and suicide attempts. BMC Psychiatry 2019;19:324. [Crossref] [PubMed]
  6. Yan Y, Gai X. Prevalence and Correlational Factors of Suicidal Ideation and Suicide Attempts Among Chinese Adolescents. Front Psychol 2022;13:911502. [Crossref] [PubMed]
  7. Wilcox HC, Arria AM, Caldeira KM, et al. Prevalence and predictors of persistent suicide ideation, plans, and attempts during college. J Affect Disord 2010;127:287-94. [Crossref] [PubMed]
  8. Poudel A, Gurung B, Khanal GP. Perceived social support and psychological wellbeing among Nepalese adolescents: the mediating role of self-esteem. BMC Psychol 2020;8:43. [Crossref] [PubMed]
  9. Hu H, Cao Q, Shi Z, et al. Social support and depressive symptom disparity between urban and rural older adults in China. J Affect Disord 2018;237:104-11. [Crossref] [PubMed]
  10. Zhou K, Li H, Wei X, et al. Reliability and validity of the multidimensional scale of perceived social support in Chinese mainland patients with methadone maintenance treatment. Compr Psychiatry 2015;60:182-8. [Crossref] [PubMed]
  11. Wang J, Mann F, Lloyd-Evans B, et al. Associations between loneliness and perceived social support and outcomes of mental health problems: a systematic review. BMC Psychiatry 2018;18:156. [Crossref] [PubMed]
  12. Czyz EK, Liu Z, King CA. Social connectedness and one-year trajectories among suicidal adolescents following psychiatric hospitalization. J Clin Child Adolesc Psychol 2012;41:214-26. [Crossref] [PubMed]
  13. King CA, Merchant CR. Social and interpersonal factors relating to adolescent suicidality: a review of the literature. Arch Suicide Res 2008;12:181-96. [Crossref] [PubMed]
  14. Hetrick SE, Parker AG, Robinson J, et al. Predicting suicidal risk in a cohort of depressed children and adolescents. Crisis 2012;33:13-20. [Crossref] [PubMed]
  15. Ghandour RM, Sherman LJ, Vladutiu CJ, et al. Prevalence and Treatment of Depression, Anxiety, and Conduct Problems in US Children. J Pediatr 2019;206:256-267.e3. [Crossref] [PubMed]
  16. Konowałek Ł, Wolanczyk T. Changes in Emotional and Behavioral Problems Between 2000 and 2011 Among 16-Year-Old Polish Children: A Cross-Sectional Study. Child Psychiatry Hum Dev 2018;49:757-65. [Crossref] [PubMed]
  17. Magai DN, Malik JA, Koot HM. Emotional and Behavioral Problems in Children and Adolescents in Central Kenya. Child Psychiatry Hum Dev 2018;49:659-71. [Crossref] [PubMed]
  18. Ma J, Mahat P, Brøndbo PH, et al. Parent reports of children's emotional and behavioral problems in a low- and middle- income country (LMIC): An epidemiological study of Nepali schoolchildren. PLoS One 2021;16:e0255596. [Crossref] [PubMed]
  19. Tick NT, van der Ende J, Verhulst FC. Ten-year trends in self-reported emotional and behavioral problems of Dutch adolescents. Soc Psychiatry Psychiatr Epidemiol 2008;43:349-55. [Crossref] [PubMed]
  20. Pastor PN, Reuben CA, Duran CR. Identifying emotional and behavioral problems in children aged 4-17 years: United States, 2001-2007. Natl Health Stat Report 2012;1-17. [PubMed]
  21. Hendekçi A, Bilgin S. Evaluation of the relationship between emotional and behavioral problems and quality of life of adolescents in school. J Child Health Care 2020;24:655-63. [Crossref] [PubMed]
  22. Díez-Gómez A, Pérez-Albéniz A, Sebastián-Enesco C, et al. Suicidal Behavior in Adolescents: A Latent Class Analysis. Int J Environ Res Public Health 2020;17:2820. [Crossref] [PubMed]
  23. Ma Z, Wang D, Zhao J, et al. Longitudinal associations between multiple mental health problems and suicidal ideation among university students during the COVID-19 pandemic. J Affect Disord 2022;311:425-31. [Crossref] [PubMed]
  24. de Beurs D, Ten Have M, Cuijpers P, et al. The longitudinal association between lifetime mental disorders and first onset or recurrent suicide ideation. BMC Psychiatry 2019;19:345. [Crossref] [PubMed]
  25. Arsandaux J, Orri M, Tournier M, et al. Pathways From ADHD Symptoms to Suicidal Ideation During College Years: A Longitudinal Study on the i-Share Cohort. J Atten Disord 2021;25:1534-43. [Crossref] [PubMed]
  26. McClelland H, Evans JJ, Nowland R, et al. Loneliness as a predictor of suicidal ideation and behaviour: a systematic review and meta-analysis of prospective studies. J Affect Disord 2020;274:880-96. [Crossref] [PubMed]
  27. Zimet GD, Dahlem NW, Zimet SG, et al. The Multidimensional Scale of Perceived Social Support. J Pers Assess 1988;52:30-41. [Crossref] [PubMed]
  28. Goodman R. The Strengths and Difficulties Questionnaire: a research note. J Child Psychol Psychiatry 1997;38:581-6. [Crossref] [PubMed]
  29. Russell DW. UCLA Loneliness Scale (Version 3): reliability, validity, and factor structure. J Pers Assess 1996;66:20-40. [Crossref] [PubMed]
  30. Steptoe A, Shankar A, Demakakos P, et al. Social isolation, loneliness, and all-cause mortality in older men and women. Proc Natl Acad Sci U S A 2013;110:5797-801. [Crossref] [PubMed]
  31. Kovacs M. Children's Depression Inventory (CDI): technical manual update. North Tonawanda, NY: Multi-Health Systems; 1992.
  32. Wu WF, Lu YB, Tan FR, et al. Reliability and validity of the Chinese version of Children's Depression Inventory. Chinese Mental Health Journal 2010;24:775-9.
  33. Figueras Masip A, Amador-Campos JA, Gómez-Benito J, et al. Psychometric properties of the Children's Depression Inventory in community and clinical sample. Span J Psychol 2010;13:990-9. [Crossref] [PubMed]
  34. Friedberg RD, Sinderman SA. CDI Scores in Pediatric Psychiatric Inpatients: A Brief Retrospective Static Group Comparison. Depress Res Treat 2011;2011:134179. [Crossref] [PubMed]
  35. Xiao Y, Chen Y, Chang W, et al. Perceived social support and suicide ideation in Chinese rural left-behind children: A possible mediating role of depression. J Affect Disord 2020;261:198-203. [Crossref] [PubMed]
  36. Scardera S, Perret LC, Ouellet-Morin I, et al. Association of Social Support During Adolescence With Depression, Anxiety, and Suicidal Ideation in Young Adults. JAMA Netw Open 2020;3:e2027491. [Crossref] [PubMed]
  37. Grav S, Hellzèn O, Romild U, et al. Association between social support and depression in the general population: the HUNT study, a cross-sectional survey. J Clin Nurs 2012;21:111-20. [Crossref] [PubMed]
  38. Dubois-Comtois K, Cyr C, Pascuzzo K, et al. Attachment Theory in Clinical Work with Adolescents. J Child Adolesc Behav. 2013;3:1-8.
  39. Yu X, Kong X, Cao Z, et al. Social Support and Family Functioning during Adolescence: A Two-Wave Cross-Lagged Study. Int J Environ Res Public Health 2022;19:6327. [Crossref] [PubMed]
  40. Kidd S, Henrich CC, Brookmeyer KA, et al. The social context of adolescent suicide attempts: interactive effects of parent, peer, and school social relations. Suicide Life Threat Behav 2006;36:386-95. [Crossref] [PubMed]
  41. Eisenberg ME, Resnick MD. Suicidality among gay, lesbian and bisexual youth: the role of protective factors. J Adolesc Health 2006;39:662-8. [Crossref] [PubMed]
  42. Ibrahim N, Che Din N, Ahmad M, et al. The role of social support and spiritual wellbeing in predicting suicidal ideation among marginalized adolescents in Malaysia. BMC Public Health 2019;19:553. [Crossref] [PubMed]
  43. Guo L, Wang W, Wang T, et al. Association of emotional and behavioral problems with single and multiple suicide attempts among Chinese adolescents: Modulated by academic performance. J Affect Disord 2019;258:25-32. [Crossref] [PubMed]
  44. Bhola P, Rekha DP, Sathyanarayanan V, et al. Self-reported suicidality and its predictors among adolescents from a pre-university college in Bangalore, India. Asian J Psychiatr 2014;7:38-45. [Crossref] [PubMed]
  45. Shoval G, Mansbach-Kleinfeld I, Farbstein I, et al. Self versus maternal reports of emotional and behavioral difficulties in suicidal and non-suicidal adolescents: an Israeli nationwide survey. Eur Psychiatry 2013;28:235-9. [Crossref] [PubMed]
  46. Ringbäck Weitoft G, Rosén M. Is perceived nervousness and anxiety a predictor of premature mortality and severe morbidity? A longitudinal follow up of the Swedish survey of living conditions. J Epidemiol Community Health 2005;59:794-8. [Crossref] [PubMed]
  47. O'Connor DB, Branley-Bell D, Green JA, et al. Resilience and vulnerability factors influence the cortisol awakening response in individuals vulnerable to suicide. J Psychiatr Res 2021;142:312-20. [Crossref] [PubMed]
  48. Xiao L, Zhang S, Li W, et al. The Mediating Effect of Sleep Quality on the Relationship between Emotional and Behavioral Problems and Suicidal Ideation. Int J Environ Res Public Health 2019;16:4963. [Crossref] [PubMed]
  49. Haroz EE, Murray LK, Bolton P, et al. Adolescent resilience in Northern Uganda: The role of social support and prosocial behavior in reducing mental health problems. J Res Adolesc 2013;23:138-48. [Crossref]
  50. Eli B, Zhou Y, Liang Y, et al. Depression in Children and Adolescents on the Qinghai-Tibet Plateau: Associations with Resilience and Prosocial Behavior. Int J Environ Res Public Health 2021;18:440. [Crossref] [PubMed]
  51. Davis AN, Carlo G, Schwartz SJ, et al. The Longitudinal Associations Between Discrimination, Depressive Symptoms, and Prosocial Behaviors in U.S. Latino/a Recent Immigrant Adolescents. J Youth Adolesc 2016;45:457-70. [Crossref] [PubMed]
  52. Nagaoka D, Tomoshige N, Ando S, et al. Being Praised for Prosocial Behaviors Longitudinally Reduces Depressive Symptoms in Early Adolescents: A Population-Based Cohort Study. Front Psychiatry 2022;13:865907. [Crossref] [PubMed]
  53. Srikala B, Kishore KK. Empowering adolescents with life skills education in schools - School mental health program: Does it work? Indian J Psychiatry 2010;52:344-9. [Crossref] [PubMed]
  54. Pan Y, Vieira JB, Pärnamets P, et al. Psychological well-being is associated with prosociality during the COVID-19 pandemic: A comparison of Swedish and Chinese samples. Emotion 2023;23:1075-87. [Crossref] [PubMed]
  55. Feng L, Guo Q. Beneficial Effect of Altruism on Well-Being Among Chinese College Students: The Role of Self-Esteem and Family Socioeconomic Status. Journal of Social Service Research 2017;43:416-31. [Crossref]
  56. Raposa EB, Laws HB, Ansell EB. Prosocial Behavior Mitigates the Negative Effects of Stress in Everyday Life. Clin Psychol Sci 2016;4:691-8. [Crossref] [PubMed]
  57. Yang Y, Wang R, Zhang D, et al. How Loneliness Worked on Suicidal Ideation among Chinese Nursing Home Residents: Roles of Depressive Symptoms and Resilience. Int J Environ Res Public Health 2021;18:5472. [Crossref] [PubMed]
Cite this article as: Yang X, Wang J, Wang T, Lin H, Yang Y, Chen X, Fu C. Psychosocial problems and suicidal ideation in Chinese adolescents: findings from a longitudinal study. Transl Pediatr 2023;12(6):1076-1087. doi: 10.21037/tp-22-676

Download Citation