Next Article in Journal
Diabetes and Obesity as Independent Risk Factors for Osteoporosis: Updated Results from the ROIS/EMEROS Registry in a Population of Five Thousand Post-Menopausal Women Living in a Region Characterized by Heavy Environmental Pressure
Next Article in Special Issue
Gendered Sources of Distress and Resilience among Afghan Refugees in Northern California: A Cross-Sectional Study
Previous Article in Journal
Evaluating the Governing Factors of Variability in Nocturnal Boundary Layer Height Based on Elastic Lidar in Wuhan
Previous Article in Special Issue
Return Migrants’ Experience of Access to Care in Corrupt Healthcare Systems: The Bosnian Example
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Association between Suicide Ideation and Attempts and Being an Immigrant among Adolescents, and the Role of Socioeconomic Factors and School, Behavior, and Health-Related Difficulties

by
Kénora Chau
1,2,*,†,
Bernard Kabuth
3,† and
Nearkasen Chau
4,5,6,†
1
Département de Médecine Générale, Faculté de Médecine, Université de Lorraine, 9 Avenue de la Forêt de Haye, CS50184, Vandoeuvre-lès-Nancy F-54505, France
2
INSERM Centre d’Investigations Cliniques Plurithématique 1433, UMR 1116, CHU de Nancy, Vandoeuvre-lès-Nancy F-54511, France
3
Service de Pédopsychiatrie, Faculté de Médecine, Université de Lorraine, Hôpital d’Enfants de Nancy-Brabois, Vandoeuvre-lès-Nancy F-54500, France
4
INSERM, U1178, Paris F-75014, France
5
Univ Paris-Sud, UMR-S1178, Paris F-75014, France
6
Univ Paris Descartes, UMR-S1178, Paris F-75014, France
*
Author to whom correspondence should be addressed.
These authors contributed equally to this work.
Int. J. Environ. Res. Public Health 2016, 13(11), 1070; https://0-doi-org.brum.beds.ac.uk/10.3390/ijerph13111070
Submission received: 10 September 2016 / Revised: 24 October 2016 / Accepted: 25 October 2016 / Published: 1 November 2016
(This article belongs to the Special Issue Refugee Health)

Abstract

:
The risk of suicide behaviors in immigrant adolescents varies across countries and remains partly understood. We conducted a study in France to examine immigrant adolescents’ likelihood of experiencing suicide ideation in the last 12 months (SI) and lifetime suicide attempts (SA) compared with their native counterparts, and the contribution of socioeconomic factors and school, behavior, and health-related difficulties. Questionnaires were completed by 1559 middle-school adolescents from north-eastern France including various risk factors, SI, SA, and their first occurrence over adolescent’s life course (except SI). Data were analyzed using logistic regression models for SI and Cox regression models for SA (retaining only school, behavior, and health-related difficulties that started before SA). Immigrant adolescents had a two-time higher risk of SI and SA than their native counterparts. Using nested models, the excess SI risk was highly explained by socioeconomic factors (27%) and additional school, behavior, and health-related difficulties (24%) but remained significant. The excess SA risk was more highly explained by these issues (40% and 85%, respectively) and became non-significant. These findings demonstrate the risk patterns of SI and SA and the prominent confounding roles of socioeconomic factors and school, behavior, and health-related difficulties. They may be provided to policy makers, schools, carers, and various organizations interested in immigrant, adolescent, and suicide-behavior problems.

1. Introduction

Every year, over 800,000 people die by suicide worldwide [1]. Suicide is the second leading cause of death among the subjects aged 15–29 year [1]. The prevalences of suicide ideation in the last 12 months (SI) and lifetime suicide attempt (SA) were respectively 9.6% and 8.9% in France, and 16.8% and 7.6% in the United States [2]. Most transitions from suicide ideation to suicide attempt (60%) occur within one year [3]. It is estimated that 15%–23% of people having consulted a physician for a suicide attempt will relapse in the year [4], and 5%–10% will die from suicide during the five following years [5]. According to the World Health Organization, there are multiple contributing factors (financial difficulties, discrimination, a sense of isolation, violence, substance use, mental disorders, etc.), and multiple vulnerable groups, especially refugees and immigrants [1]. Consequently, selective prevention strategies to assist vulnerable individuals are needed [1]. It is thus important to identify the risk patterns of SI and SA and to evaluate the confounding roles of potential covariates in younger immigrant adolescents (10–16 years) who may be a vulnerable group. With increasing immigration, European Union health systems face new challenges in terms of rights to health, access to care, and health monitoring.
However, immigrants are from many countries and have different reasons (poverty, war, trauma, political repression, etc.) and histories for immigration. They have different educational, socioeconomic, occupational, and cultural characteristics. The integration opportunities may vary across host countries. Immigrants may meet difficulties in terms of language, socioeconomic, employment, and cultural integrations as well as physical and mental health, substance use and cares [6]. However, certain immigrants may have strong family networks or protective cultural or religious traditions [7]. Immigrant suicide behaviors are a complex problem [6]. The literature is abundant for adults but rather scarce for adolescents. According to a review of literature, little research has focused on suicide behaviors in immigrant youth, most research does not differentiate ethnic minorities, and the risk of suicide behaviors varies by ethnicity and country of settlement [8]. The available studies have reported that various immigrant groups can be at an increased or lower risk of suicide behaviors than the majority population [6,7,9]. A study in the Netherlands found that the rates of suicide attempts among Turkish and South Asian-Surinamese female adolescents were higher than that among their Dutch counterparts but Moroccan females had a lower rate [10]; this study also reported that that physical and sexual abuse and an impaired family environment contributed to non-fatal suicide behavior of females across ethnicities but these factors as well as low socioeconomic class and educational level did not fully explain the risk in Turkish and South Asian-Surinamese females [10]. A study in the United States reported that Korean immigrant adolescents had a higher risk of suicide ideation than their American counterparts and Koreans who remained in Korea, and the risk was associated with life stress, lack of parental support, and not living with both parents [11]. Another study in United States showed that US-born Latinos with immigrant parents and those with U.S.-born parents had a three-fold higher risk of suicide attempt [12]. In Canada, the suicide rate was low for immigrants considered as a whole, but various national origin groups reported different trajectories across the generations [13]. The risk of suicide behaviors in immigrant adolescents remains thus an open question.
Early adolescence is an important period for physical and mental development [2,14,15]. It is a period of transition from the total social and economic dependence to relative independence with more contacts and exchanges with others and more access to substance use. Unfortunately, it corresponds to the mean age of onset of school, behavior, and health-related difficulties (such as grade repetition, poor health, depressive symptoms, substance use, and violence) [2,16,17,18,19]. A recent prospective study examining developmental trajectories of suicide ideation across early to middle adolescences found that the highest risk was at age 12 for boys and age 12–13 for girls, and that depression, externalizing problems, and family and friend support played a role for the two sexes [20]. Immigrant adolescents furthermore face to isolation, acculturation related stressors, ethnic discrimination, and social and school integration [16,21]. They have more frequently poor parents’ education, non-intact families, poor socioeconomic resources, economic uncertainty, and access to health care [16,21,22,23,24,25]. They also have more school, behavior, and health-related difficulties [16,26,27]. These sets of factors may predict suicide behaviors [2,28]. School, behavior, and health-related difficulties could alter physical and mental performances and cognitive development [29,30,31,32,33,34]. Therefore, immigrant adolescents may have a higher risk of SI and SA from an early age. A better knowledge of the role of socioeconomic factors and school, behavior, and health-related difficulties in SI and SA may help when designing prevention. Suicide is largely preventable [1] and most of these difficulties are modifiable for prevention. The role of these problems among immigrant adolescents has remained insufficiently addressed [27].
In an early adolescence context and using historic reconstruction of life events, this study in France assessed the risk of SI and SA of immigrant adolescents compared with their native counterparts, and the confounding role of socioeconomic factors as well as school, behavior, and health-related difficulties. We focused on middle-school adolescents mostly under 16 years because school is compulsory until 16 years, many problems become persistent in late adolescence (16–20 years) and all issues should be solved at an early age [2,35] via screening and monitoring.

2. Materials and Methods

2.1. Study Design

The study population comprised all 1666 students attending three middle schools (age range 10–19, two public and one private (63 classes)), chosen as it may reflect a social gradient (various social categories are represented) in the Nancy urban area (410,000 inhabitants), the capital of Lorraine region (2.34 million inhabitants) in north-eastern France. The study population represented the exhaustive population of a large geographical area (38,000 inhabitants). The investigation was approved by the Commission Nationale de l’Informatique et des Libertés (national review board, Project 1408688) and the Nancy-Metz regional education authority. Written informed consent was obtained from parents. In contrast to previous national studies [2,14,36] we focused on a population from an urban area so that the subjects were in the same socioeconomic context, free of variations across geographical regions.
The study protocol included an invitation to participate transmitted to parents and guardians (April 2010) and data were collected (May–June 2010) using an anonymous self-administered questionnaire over a one-hour teaching period under research-team supervision. Respondents could ask the two research-team members if they did not understand a question, but team members had been instructed not to influence the response (the adolescents rarely asked questions). Adolescents placed the completed questionnaires in a sealed envelope and then into a closed box. Two students refused to participate and 89 (5.3%) were absent when the data collection was carried out (for motives independent of the survey). In total, 1575 adolescents completed the questionnaires; among which 10 were of unknown gender or age, and 6 were not completed appropriately, leaving 1559 questionnaires (94%) for analysis. This population was close to that of a French school-based population survey in terms of gender, family and health-related difficulties (Table 1).
The questionnaire included age, gender, socioeconomic characteristics (nationality, family structure, father’s and mother’s education, father’s occupation, and family income), grade repetition, behavior and health-related difficulties (alcohol, tobacco, cannabis and hard-drug use, depressive symptoms, sustained physical and verbal violence, and sustained sexual abuse), SI, and SA [2,14].
All subjects gave their informed consent for inclusion before they participated in the study.

2.2. Measures

2.2.1. Suicide Ideation and Suicide Attempts

Suicide ideation (SI) was addressed in the question “During the last 12 months, did you ever think about suicide?” (response: any/none). Suicide attempts (SA) was assessed in the question “During your life course, how many times did you actually attempt suicide?” (response: none, 1, or 2 or more) [2,14]. SA was defined as at least once.

2.2.2. Family Structure

Three categories were considered: (a) intact families corresponded to the adolescents who were living with both non-separated and non-divorced father and mother; (b) divorced or separated parents and reconstructed families corresponded to the adolescents who had parents separated or divorced with the presence or not of a father- or a mother-in-law; and (c) single parent and other situations. Among the 391 subjects who were living with divorced or separated parents or reconstructed families, 82.9%, 9.0%, 4.6%, and 3.6% were respectively living generally, sometimes, rarely, and never with mother (respectively 39.4%, 32.0%, 17.1%, and 11.5% with father). Because of a small number of subjects which would result in a lack of power for statistical tests, the time spent with father and mother was not considered.

2.2.3. Father’s Occupation

Five categories were considered following the international classification of occupations (ISCO): managers, professionals, and intermediate professionals (reference group); craftsmen, tradesmen, and heads of firms; service workers and clerks; manual workers and other occupations; and non-working people (unemployed and retired) [36,38,39].

2.2.4. Grade Repetition

Grade repetition was assessed with the question “During your life course, do you have repeated school year(s) at primary school and middle school?” (response: never, at primary school, for every year at middle school); multiple responses were possible [16]. The year of grade repetition(s) was gathered.

2.2.5. Risky Behaviors (Alcohol, Tobacco, Cannabis, and Hard-Drug Use)

For each substance, we retained only the lifetime use that had continued until the time of survey (current use). Alcohol initiation was assessed with the question: “When (if ever) did you first drink (beer, cider, champagne, wine, aperitif, etc.)?”; tobacco initiation with the question: “When (if ever) did you first smoke your first cigarette?”; cannabis initiation with the question: “When (if ever) did you first try any form of cannabis?”; and initiation of other illicit drugs with the question: “When (if ever) did you first try any form of other illicit drugs (mushrooms, ecstasy, LSD, etc.)?” (response: year of initiation) [2,14,19,36]. The year of use initiation of each substance category was thus gathered.
Current use of alcohol was assessed with the question: “During the last 30 days, how many times have you had alcoholic drinks (beer, cider, champagne, wine, aperitif, etc.)?” (response: none/1–5/≥6); that of tobacco with the question: “During the last 30 days, how many cigarettes a day did you smoke?” (response: none/≥1 cigarette per day); that of cannabis with the question: “During the last 30 days, how many occasions have you used any form of cannabis?” (response: none/≥1); and that of other illicit drugs with the question: “During the last 30 days, how many occasions have you used any form of other illicit drugs (mushrooms, ecstasy, LSD, etc.)?” (response: none/≥1) [2,6,11,28].

2.2.6. Depressive Symptoms

Depressive symptoms were evaluated using the six-item Kandel scale [2,40]. Participants were asked to indicate the degree to which they (a) “felt too tired to do things”; (b) “had trouble going to sleep or staying asleep”; (c) “felt depressed”; (d) “felt hopeless about the future”; (e) “felt nervous or tense”; and (f) “worried too much about things”. Participants responded to each item using a four-point Likert scale ranging from 1 = never, 2 = rarely, 3 = often enough to 4 = very often. This scale is sex and longitudinal invariant and useful in research exploring psychological distress throughout adolescence [41]. The starting year over the life course was gathered. The Cronbach’s alpha was satisfactory (0.84) allowing a single score to be calculated (range 6–18). Depressive symptoms were defined by a score ≥17 (90th percentile value) [2,42]. Note that 95% of subjects actually reported feeling depressed.

2.2.7. Physical and Verbal Violence

Physical and verbal violence sustained by adolescent was measured using a 20-item scale (five questions for four localities): “During the last 12 months, have you been victim of …?”: (1) hitting; (2) stealing; (3) racket; (4) insult; and (5) racial abuse; in (a) school; (b) school neighborhood; (c) at home; and (d) elsewhere (response: any/none) [2,14]. The Cronbach’s alpha was satisfactory (0.71), allowing a single score to be calculated as the number of positive responses. Sustained violence was defined by a score ≥4 (90th percentile). The year of the first occurrence over the life course was gathered.

2.2.8. Sexual Abuse

Sexual abuse sustained was assessed with the question: “In the course of your life, have you been victim of a sexual abuse?” (response: any/none) [2,14]. The year of the first occurrence over the life course was gathered.

2.2.9. Historic Reconstruction of Life Events

A historic reconstruction of life events from birth to the day of survey was made using retrospective data gathered. During the observation period which represented 14,530 person-years, 154 SA were observed (135 and 19 subjects among French and immigrant adolescents, respectively). SI affected 182 subjects (158 and 24 adolescents, respectively).

2.3. Statistical Analysis

First, we compared European immigrant, non-European immigrant, and French adolescents according to SI, SA, socioeconomic factors and school, behavior, and health-related difficulties using the chi2 test or the variance analysis. Then, for SI, we assessed its association with being European or non-European immigrant and various risk factors using gender-age-adjusted odds ratio (gaOR) computed with logistic regression models. Because results showed that European and non-European immigrant adolescents had similar features, they were grouped to avoid a lack of power for statistical tests. To evaluate the confounding roles of socioeconomic factors and school, behavior, and health-related difficulties in the risk of SI for immigrant adolescents, three logistic regression models were performed: a basic model (model 1) measuring the association between SI and being immigrant after adjustment for gender and age, then socioeconomic factors added to model 1 (model 2), and finally school, behavior and health-related difficulties added to model 2 (model 3). The contribution of each set of covariates to the explanation of the association between SI and being immigrant was estimated by the change in the odds ratio after its inclusion in the model, i.e., explained fraction calculated by the formula: (ORmodel1 − ORextended model)/(ORmodel1 − 1) [43]. Similar analyses were made for SA but using Cox regression models to compute hazard ratios (HR). In these Cox regression models, various school, behavior, and health-related difficulties were considered only when they started before SA. All the analyses were performed using the Stata program (Stata Corporation, College Station, TX, USA, 2007).

3. Results

3.1. Characteristics of the Study Population

The characteristics of European immigrant, non-European immigrant and French adolescents are shown in Table 2. SI affected more European and non-European immigrant adolescents than their native counterparts (20.4% and 24.1% vs. 10.9%, p = 0.002). Similar differences were found for SA (18.5% and 16.7% vs. 9.3%, p = 0.02). The crude rate of SA per 1000 person-years was 20.7 for European immigrant adolescents, 17.8 for non-European immigrant adolescents, vs. 10.0 for French adolescents. Multiple suicide attempts (≥2) also affected more European and non-European immigrant adolescents (9.3% and 11.1% vs. 4.3% for French adolescents, p = 0.02). Compared with French adolescents, immigrant adolescents had much more frequently non-intact families, lower parents’ education, lower father’s occupation, insufficient family income, grade repetition, and tobacco, cannabis, and hard-drug use. Sustained sexual abuse was more frequent among non-European immigrants.
Figure 1 reveals that the risk of SA was similar enough for European and non-European immigrant adolescents and it started from an early age.

3.2. Associations of SI and SA with Socioeconomic Factors and School, Behavior, and Health-Related Difficulties—Contribution of These Covariates

Table 3 shows that, based on gaOR and gaHR, both European and non-European immigrant adolescents had a two-time higher risk of SI and SA. A higher risk of SI was observed for girls, the subjects living with divorced or separated parents or reconstructed families, those having a father being a manual worker or non-working, low parents’ education, insufficient family income, and various school, behavior and health-related difficulties (gaOR between 1.37 and 9.52). The risk factors for SA were female gender, living with divorced or separated parents or reconstructed families, living with single parents, non-working father, and various school, behavior and health-related difficulties (gaHR between 1.46 and 12).
Using nested logistic and Cox regression models, we found that after inclusion of socioeconomic factors in the first stage and of school, behavior and health-related difficulties in a second stage, the excess risk of SI found for immigrant adolescents was substantially reduced by 27% and 24% but it remained significant (Table 4). More importantly, we found that the excess risk of SA for immigrant adolescents was highly reduced by 40% and 85% and became non-significant (Table 4).

4. Discussion

This study found that immigrant adolescents had a two-time higher risk of both SI and SA, and that socioeconomic factors explained 27% and 40% of the risks while further considering school, behavior and health-related difficulties explained 24% and 85%, respectively leaving the SA risk become non-significant. As most transitions from suicide ideation to suicide attempt (60%) occur within one year [3], the high role of school, behavior and health-related difficulties in SI, and more especially in SA, is an important finding. These last factors are modifiable and may be targets for prevention policy aiming at reducing suicide attempt among immigrant adolescents. Our findings based on a historic reconstruction of life events for SA are an additional piece to the literature.
We focused on early adolescence because suicide behaviors are common in this age period [2,17] and prevention to reduce their risks should be performed since an early age. Many adolescents early suffer from a number of poor living conditions, socioeconomic deprivations and school, behavior, and health-related difficulties [2,14,17,18,19,36,37]. It may be noted that the mean age of parents’ divorce or separation is six years, that of parent’s death is eight years, and the first years at middle school correspond to the mean age of onset of substance use, sleep disorders, violence victimization, and suicidal ideation [2,14,17,18,19,36,37]. The risk of suicide behaviors may be higher when the issues begin at an early age. Indeed, two national adolescent studies in France and United States reported that early use initiation of alcohol, tobacco or cannabis (before 13 years) was associated with a higher risk of suicide behaviors [2]. One study in Korea found similar results [44]. A prospective study exploring the developmental trajectories of suicide ideation shows that the highest risk is at age 12–13 years, and that depression, externalizing problems, and family and friend support play a role [20].
Our study demonstrates that immigrant adolescents face an excess risk of SI and SA and this is highly attributable to socioeconomic factors (27% and 40%, respectively). We focused on immigrant adolescents who did not have the French nationality because they would be particularly vulnerable. A recent review of literature stated that first generation immigrant adolescents experience a higher rate of bullying and peer aggression compared to third generation and native adolescents [27]. In France, there were, in 2007, 2.56 million children aged less than 18 years in immigrant families. With increasing unemployment, parents of immigrant adolescents have more difficulty finding a job. Most immigrants were from developing countries with much lower resources [45]. Indeed, the birth country of the head of family of immigrant adolescents was in Africa (1.37 million children, mainly Algeria, Morocco, and Tunisia), Europe (642,302 children, mainly Portugal, Spain, Italia, and United Kingdom), Asia (393,775 children, mainly Turkey and Indochina), and America and Oceania (147,326 children) [46]. We found that immigrant adolescents were more likely to live in non-intact families. Divorced or separated parents and reconstructed families were more represented among European immigrants while single parents were more represented among non-European immigrants. European immigrants were more likely to have a father being a manual worker while non-European immigrants to have a non-working father. Low parents’ education and insufficient family income were also more represented among both European and non- European immigrant adolescents. It is rather difficult, especially for immigrants, to find a job in France as it has a high unemployment rate (10.2%) compared with some western Europe countries (Germany 4.2%, Great Britain 4.8%, The Netherlands 5.8%, Austria 6.2%, Luxembourg 6.2%, Sweden 7%, and Belgium 8.2%) [47]. In France, it is also hard to find an affordable and satisfactory accommodation for many families as social rental housings are lacking and 3.8 million people have poor housings. These social and material deprivations generally started at an early age and result in many adolescents face a number of school, behavior, and health-related problems. It may be noted that, in our study, strong associations were found between socioeconomic factors and various school, behavior, and health-related difficulties (results not shown). While research has showed that certain immigrant groups have a lower risk of suicide behaviors than the majority population [6,7,9], our results agreed with certain studies which have found that immigrant adolescents had a higher risk and that poor family environment, lack of parental support, not living with both parents, substance use, physical and sexual abuse, and poor mental health play strong confounding roles [6,10,11,20,48,49]. Some studies reported that the risk of suicide ideation was higher among adolescents who have family problems or difficulties in relationships with parents [6,8,9,11,48,49]. The children of immigrants often reach a higher level of acculturation and education than their parents, contributing to intergenerational conflict, decreased understanding, and closeness between children and parents [6,50].
Our study found that school, behavior, and health-related difficulties (added to socioeconomic factors) highly explained the excess risk of SA for immigrant adolescents (85%) which became non-significant. In the literature, one study in the United States reported that Korean immigrant adolescents had a higher risk of suicide ideation in which life stress played a role [11]. We found that school, behavior, and health-related difficulties affected much more immigrant adolescents than their native counterparts. School difficulty may reflect somewhat a mental and cognitive ability. Immigrant adolescents with school difficulty may see school as uninteresting, unchallenging, overwhelming or non-supportive. This situation may lead them to develop negative attitudes [51], to avoid school and all it represents, and finally to mental vulnerability favoring SA. Depressive symptoms are well known to affect memory, cognitive ability, executive functions, and work performance [29,42,52,53,54]. Tobacco and alcohol use could alter physical function, psychomotor function, and cognitive performance [31,32,55,56]. Cannabis use could exacerbate mental health difficulties [33]. Regarding sexual abuse and physical and verbal violence, research has showed that they generate substance use, stress, depressive, and internalizing symptoms, hopelessness, child adaptation failure, and damage to cognitive development [30,34,57,58] as well as suicide behaviors [2,10,28]. Children who have poor family functioning, family conflicts, or see their peers as hostile have a higher risk of suicide ideation [6,8,9,11,48,49]. So, various difficulties may play concurrent roles over time leading to long lasting mental vulnerability and consequently to SI and SA. Suicide results often from a difficult life trajectory that needs to be socially and medically monitored. One study reported the suicide of an adolescent aged 16 who committed a suicide attempt after the death of his father, followed by a depression, increasing alcohol use, sustained violence, and involvement in rioting at school [59]. Public policy aiming at reducing suicide ideation, and especially suicide attempts, should include services and interventions to solve school, behavior, and health-related difficulties. Further research may focus on these interventions and their evaluation using a prospective approach. It should be indicated that health problems of people with social and material deprivations are less likely to be treated [60,61,62]. In France, many people are under the poverty threshold, especially in single-parent and inactive-mother families [63] and do not have a complementary health insurance [64]. These issues may affect many more immigrants than native adolescents. Finally, public policy, schools, and school medical centers may evaluate and identify the immigrant students with higher socioeconomic difficulties and higher school, behavior, and health-related difficulties to help them to reduce their problems with the collaboration of general practitioners (carers most consulted by adolescents for their physical health, mental health, and substance use [17]), other carers, social workers, and their parents. However, it should be noted that counselling services, psychotherapeutic institutions, and schools are seldom sufficiently prepared or equipped for dealing with children and families’ concerns [65]. Education on mental health for immigrants and education about cultural differences for specialists are important for the advancement of suicide prevention [66].

Limitations and Strengths

First, the study was cross-sectional and based on self-reported data, but a self-administered anonymous questionnaire is widely used and arguably a good tool to study the living conditions, mental health, and risky behaviors of adolescents [2,14,16,36,67]. The questionnaire was simple and would not be influenced by adolescent’s intellectual performance. Adolescents generally know the socioeconomic situations of their family, especially the financial difficulty. A study on family factors and substance use among adolescents showed that self-report data were corroborated by independent teacher reports [68]. Father’s occupation is generally known by the adolescents even in those who were living with single parents. The immigrant students were well distributed in various classes. The public school for each student was determined by his/her residence place and the class was attributed by the school. In France, we cannot investigate specific ethnic groups (national review board). We focused our survey on the population from an urban area so that the subjects are in the same socioeconomic context, free of variations across geographical regions. Given the large number of statistical tests carried out, type I error may be a concern, but most tests were significant at the 0.001 level, with very high odds ratios estimates.
Strengths of the study also deserve to be mentioned. The participation rate was high. The data collection was made under the research-team supervision with no influence on the survey. The statistical approach using Cox regression model may explore causal relationships for SA. However, these were not guaranteed because certain life events may be forgotten, but they were relatively recent and the adolescents affected would well remember them [69]. All were made to guarantee the respondents’ anonymity. For this purpose, the questionnaire excluded the birthday, the birth place, and the residential town. Data collected and the respondents’ identification number do not allow the determination of school and the precise class. The quality of responses to the questionnaire was good. Various instruments were used in adolescent studies in many countries [2,14,37,40]. The behavior and health-related difficulties of the sample were similar to those of France.

5. Conclusions

This study demonstrates that suicide ideation and attempts affect two-time more immigrant adolescents than their native counterparts and they are strongly associated with socioeconomic factors and school, behavior, and health-related difficulties. Socioeconomic factors play a strong confounding role (contribution 27% to the excess risk of suicide ideation and 40% of that of suicide attempts). Further considering school, behavior, and health-related difficulties explained 24% of the excess risk of suicide ideation and 85% of that of suicide attempts which became then non-significant. Our findings may be provided to policy makers, schools, carers, and other organizations interested in adolescent, health, and immigrant problems. They demonstrate that, to reduce suicide ideation, and particularly suicide attempts, public policies should identify, monitor, and reduce school, behavior, and health-related problems. Schools and school medical centers have an important role in school-based prevention programs. General practitioners and other carers have a prominent role and should cooperate with schools and school medical centers. Our findings may be given to parents to make them more aware of the problems, to improve adolescents’ learning and living conditions, to adopt mindful parenting [70], and to suggest them to identify and reduce school, behavior, and health-related issues with the help of school, school medical centers and carers. The adolescents should be helped to be aware of the problems, to adopt protective attitudes, to increase resilience [71], and to solve their problems with their parents, schools, school medical centers, and carers.

Acknowledgments

The authors thank Marie Jeanne Chau, Evelyne Aptel, Isabelle Armand, Odile Causin, and the staff of the schools for their valuable help in the study. This research involved National Institute for Health and Medical Research and public funding.

Author Contributions

Kénora Chau conceived the survey, carried out the study, statistical analysis and had the main responsibility for writing the manuscript. Bernard Kabuth participated in conceiving the study and writing the manuscript. Nearkasen Chau participated in conceiving the survey, statistical analysis, and writing the manuscript. The authors read and approved the final manuscript.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. World Health Organization. Preventing Suicide: A Global Imperative. 2014. Available online: http://apps.who.int/iris/bitstream/10665/131056/1/9789241564779_eng.pdf?ua=1&ua=1 (accessed on 24 August 2016).
  2. Swahn, M.H.; Bossarte, R.M.; Choquet, M.; Hassler, C.; Falissard, B.; Chau, N. Early substance use initiation and suicidal ideation and attempts among students in France and the United States. Int. J. Public Health 2012, 57, 95–105. [Google Scholar] [CrossRef] [PubMed]
  3. Nock, M.K.; Borges, G.; Bromet, E.J.; Alonso, J.; Angermeyer, M.; Beautrais, A.; Bruffaerts, R.; Chiu, W.T.; de Girolamo, G.; Gluzman, S.; et al. Cross-national prevalence and risk factors for suicidal ideation, plans and attempts. Br. J. Psychiatry 2008, 192, 98–105. [Google Scholar] [CrossRef] [PubMed]
  4. Gilbody, S.; House, A.; Owens, D. The early repetition of deliberate self-harm. J. R. Coll. Phys. Lond. 1997, 31, 171–172. [Google Scholar]
  5. Gunnell, D.; Frankel, S. Prevention of suicide: Aspirations and evidence. BMJ 1994, 308, 1227–1233. [Google Scholar] [CrossRef] [PubMed]
  6. Ratkowska, K.A.; De Leo, D. Suicide in immigrants: An overview. Open J. Med. Psychol. 2013, 2, 124–133. [Google Scholar] [CrossRef]
  7. Spallek, J.; Reeske, A.; Norredam, M.; Smith Nielsen, S.; Lehnhardt, J.; Razum, O. Suicide among immigrants in Europe—A systematic literature review. Eur. J. Public Health 2015, 25, 63–71. [Google Scholar] [CrossRef] [PubMed]
  8. Bursztein Lipsicas, C.; Henrik Mäkinen, I. Immigration and suicidality in the young. Can. J. Psychiatry 2010, 55, 274–281. [Google Scholar] [PubMed]
  9. Suicide Prevention Resource Center. Suicide among Racial/Ethnic Populations in the U.S. Asians, Pacific Islanders, and Native Hawaiians. Available online: http://www.sprc.org/sites/default/files/migrate/library/API%20Sheet%20August%2028%202013%20Final.pdf (accessed on 14 October 2016).
  10. Van Bergen, D.D.; Eikelenboom, M.; Smit, J.H.; van de Looij-Jansen, P.; Saharso, S. Suicidal behavior and ethnicity of young females in Rotterdam, the Netherlands: Rates and risk factors. Ethn. Health 2010, 15, 515–530. [Google Scholar] [CrossRef] [PubMed]
  11. Cho, Y.B.; Haslam, N. Suicidal ideation and distress among immigrant adolescents: The role of acculturation, life stress, and social support. J. Youth Adolesc. 2010, 39, 370–379. [Google Scholar] [CrossRef] [PubMed]
  12. Peña, J.B.; Wyman, P.A.; Brown, C.H.; Matthieu, M.M.; Olivares, T.E.; Hartel, D.; Zayas, L.H. Immigration generation status and its association with suicide attempts, substance use, and depressive symptoms among Latino adolescents in the USA. Prev. Sci. 2008, 9, 299–310. [Google Scholar] [CrossRef] [PubMed]
  13. Hansson, E.K.; Tuck, A.; Lurie, S.; McKenzie, K. Rates of mental illness and suicidality in immigrant, refugee, ethnocultural, and racialized groups in Canada: A review of the literature. Can. J. Psychiatry 2012, 57, 111–121. [Google Scholar] [PubMed]
  14. Hibell, B.; Andersson, B.; Bjarnason, T.; Ahlström, S.; Balakireva, O.; Kokkevi, A.; Morgan, M. The Espad Report 2003. Alcohol and Other Drug Use among Students in 35 European Countries; The Swedish Council for Information on Alcohol and Other Drugs (CAN): Stockholm, Sweden, 2004. [Google Scholar]
  15. Duke, N.N.; Pettingell, S.L.; McMorris, B.J.; Borowsky, I.W. Adolescent violence perpetration: Associations with multiple types of adverse childhood experiences. Pediatrics 2010, 125, e778–e786. [Google Scholar] [CrossRef] [PubMed]
  16. Chau, K.; Kabuth, B.; Baumann, M.; Chau, N. School difficulties in immigrant adolescent students and roles of socioeconomic factors, unhealthy behaviours, and physical and mental health. BMC Public Health 2012, 12, 453. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  17. Chau, K. Difficultés Mentales et Scolaires des Collégiens dans une Zone d’Agglomération Urbaine. Medicine Thesis, Faculté de Médecine de Nancy, Université de Lorraine, Nancy, France, 2012. [Google Scholar]
  18. Dishion, T.J.; Véronneau, M.H.; Myers, M.W. Cascading peer dynamics underlying the progression from problem behavior to violence in early to late adolescence. Dev. Psychopathol. 2010, 22, 603–619. [Google Scholar] [CrossRef] [PubMed]
  19. Mayet, A.; Legleye, S.; Chau, N.; Falissard, B. Transitions between tobacco and cannabis uses among adolescents and social disparities: A multi-state modelling of progression from onsets to daily uses. Addict. Behav. 2011, 36, 1101–1105. [Google Scholar] [CrossRef] [PubMed]
  20. Adrian, M.; Miller, A.B.; McCauley, E.; Vander Stoep, A. Suicidal ideation in early to middle adolescence: Sex-specific trajectories and predictors. J. Child Psychol. Psychiatry 2016, 57, 645–653. [Google Scholar] [CrossRef] [PubMed]
  21. George, U.; Thomson, M.S.; Chaze, F.; Guruge, S. Immigrant mental health, a public health issue: Looking back and moving forward. Int. J. Environ. Res. Public Health 2015, 12, 13624–13648. [Google Scholar] [CrossRef] [PubMed]
  22. Llie, S.; Lietz, P. School quality and student achievement in 21 European countries. In IERI Monograph Series: Issues and Methodologies in Large-Scale Assessments; IEA-ETS Research Institute: Princeton, NJ, USA, 2010; Available online: http://www.ierinstitute.org/fileadmin/Documents/IERI_Monograph/IERI_Monograph_Volume_03_Chapter_3.pdf (accessed on 29 October 2016).
  23. Greene, J.P. High School Graduation Rates in the United States; Manhattan Institute for Policy Research, Inc.: New York, NY, USA, 2002. Available online: http://www.manhattan-institute.org/html/cr_baeo.htm (accessed on 24 August 2016).
  24. European Commission’s Directorate-General for Education and Culture. Education and Migration. Strategies for Integrating Migrant Children in European Schools and Societies. A Synthesis of Research Findings for Policy-Makers. 2008. Available online: http://www.nesse.fr/nesse/activities/reports/activities/reports/education-and-migration-pdf (accessed on 24 August 2016).
  25. Gimeno-Feliu, L.A.; Magallon-Botaya, R.; Macipe-Costa, R.M.; Luzon-Olivier, L.; Canada-Millan, J.L.; Lasheras-Barrio, M. Differences in the use of primary care services between Spanish national and immigrant patients. J. Immigr. Minor. Health 2013, 15, 584–590. [Google Scholar] [CrossRef] [PubMed]
  26. Baumann, M.; Chau, K.; Kabuth, B.; Chau, N. Associations between health-related quality of life and being an immigrant among adolescents, and the role of socioeconomic factors and health-related difficulties. Int. J. Environ. Res. Public Health 2014, 11, 1694–1714. [Google Scholar] [CrossRef] [PubMed]
  27. Pottie, K.; Dahal, G.; Georgiades, K.; Premji, K.; Hassan, G. Do first generation immigrant adolescents face higher rates of bullying, violence and suicidal behaviours than do third generation and native born? J. Immigr. Minor. Health 2015, 17, 1557–1566. [Google Scholar] [CrossRef] [PubMed]
  28. Dube, S.R.; Anda, R.F.; Felitti, V.J.; Chapman, D.P.; Williamson, D.F.; Giles, W.H. Childhood abuse, household dysfunction, and the risk of attempted suicide throughout the life span: Findings from the Adverse Childhood Experiences Study. JAMA 2001, 286, 3089–3096. [Google Scholar] [CrossRef] [PubMed]
  29. Harvey, P.O.; Fossati, P.; Pochon, J.B.; Levy, R.; Lebastard, G.; Lehericy, S.; Allilaire, J.F.; Dubois, B. Cognitive control and brain resources in major depression: An fMRI study using the n-back task. NeuroImage 2005, 26, 860–869. [Google Scholar] [CrossRef] [PubMed]
  30. Kalmijn, S.; Van Boxtel, M.P.J.; Verschuren, M.W.M.; Jolles, J.; Launer, L.J. Cigarette smoking and alcohol consumption in relation to cognitive performance in middle age. Am. J. Epidemiol. 2002, 156, 936–944. [Google Scholar] [CrossRef] [PubMed]
  31. Lynch, M.; Cicchetti, D. An ecological transactional analysis of children and contexts: The longitudinal interplay among child maltreatment, community violence, and children’s symptomatology. Dev. Psychopathol. 1998, 10, 235–257. [Google Scholar] [CrossRef] [PubMed]
  32. Nelson, H.D.; Nevitt, M.C.; Scott, J.C.; Stone, K.L.; Cummings, S.R. Smoking, alcohol, and neuromuscular and physical function of older women. Study of Osteoporotic Fractures Research Group. JAMA 1994, 272, 1825–1831. [Google Scholar] [CrossRef] [PubMed]
  33. Raphael, B.; Wooding, S.; Stevens, G.; Connor, J. Comorbidity: Cannabis and complexity. J. Psychiatr. Pract. 2005, 11, 161–176. [Google Scholar] [CrossRef] [PubMed]
  34. Roberts, S.J.; Glod, C.A.; Kim, R.; Hounchell, J. Relationships between aggression, depression, and alcohol, tobacco: Implications for healthcare providers in student health. J. Am. Acad. Nurse Pract. 2010, 22, 369–375. [Google Scholar] [CrossRef] [PubMed]
  35. Kaplan, M.S.; McFarland, B.H.; Huguet, N.; Newsom, J.T. Sooner versus later: Factors associated with temporal sequencing of suicide. Suicide Life Threat. Behav. 2006, 36, 377–385. [Google Scholar] [CrossRef] [PubMed]
  36. Legleye, S.; Janssen, E.; Beck, F.; Chau, N.; Khlat, M. Social gradient in initiation and transition to daily use of tobacco and cannabis during adolescence: A retrospective cohort study. Addiction 2011, 106, 1520–1531. [Google Scholar] [CrossRef] [PubMed]
  37. Choquet, M.; Hassler, C.; Morin, D.; Falissard, B.; Chau, N. Parenting styles and tobacco, alcohol and cannabis use among French adolescents: Gender and family structure differentials. Alcohol Alcohol. 2008, 43, 73–80. [Google Scholar] [CrossRef] [PubMed]
  38. Legleye, S.; Beck, F.; Peretti-Watel, P.; Chau, N.; Firdion, J.M. Suicidal ideation among French young adults: Association with occupation, family, personal background and drug use. J. Affect. Disord. 2010, 123, 108–115. [Google Scholar] [CrossRef] [PubMed]
  39. Legleye, S.; Beck, F.; Khlat, M.; Peretti-Watel, P.; Chau, N. The influence of socioeconomic status on cannabis use among French adolescents. J. Adolesc. Health 2012, 50, 395–402. [Google Scholar] [CrossRef] [PubMed]
  40. Kandel, D.B.; Davies, M. Epidemiology of depressive mood in adolescents an empirical study. Arch. Gen. Psychiatry 1982, 39, 1205–1212. [Google Scholar] [CrossRef] [PubMed]
  41. Brunnet, J.; Sabiston, C.M.; Chaiton, M.; Low, N.C.; Contreras, G.; Barnett, T.A.; O’Loughlin, J.L. Measurement invariance of the depressive symptoms scale during adolescence. BMC Psychiatry 2014, 14, 95. [Google Scholar] [CrossRef] [PubMed]
  42. Chau, N.; Lemogne, C.; Legleye, S.; Choquet, M.; Falissard, B.; Fossati, P.; The Lorhandicap Group. Are occupational factors and mental difficulty associated with occupational injury? J. Occup. Environ. Med. 2011, 53, 1452–1459. [Google Scholar] [CrossRef] [PubMed]
  43. Lynch, J.W.; Kaplan, G.A.; Cohen, R.D.; Tuomilehto, J.; Salonen, J.T. Do cardiovascular risk factors explain the relation between socioeconomic status, risk of all-cause mortality, cardiovascular mortality, and acute myocardial infarction? Am. J. Epidemiol. 1996, 144, 934–942. [Google Scholar] [CrossRef] [PubMed]
  44. Kim, D.S.; Kim, H.S. Early initiation of alcohol drinking, cigarette smoking, and sexual intercourse linked to suicidal ideation and attempts: Findings from the 2006 Korean Youth Risk Behavior Survey. Yonsei Med. J. 2010, 51, 18–26. [Google Scholar] [CrossRef] [PubMed]
  45. La Banque Mondiale. PIB par Habitant. 2015. Available online: http://donnees.banquemondiale.org/indicateur/NY.GDP.PCAP.CD (accessed on 24 August 2016).
  46. Institut National de la Statistique et des Études Économiques. Enfants de Moins de 18 Ans Vivant dans une Famille Immigrée. 2011. Available online: http://www.insee.fr/fr/themes/tableau.asp?reg_id=0&ref_id=ENFAMIMMI (accessed on 24 August 2016).
  47. Statistica. Unemployment Rate in Member States of the European Union in August 2016 (Seasonally Adjusted). Available online: https://0-www-statista-com.brum.beds.ac.uk/statistics/268830/unemployment-rate-in-eu-countries/ (accessed on 14 October 2016).
  48. Rapp, A.M.; Lau, A.; Chavira, D.A. Differential associations between social anxiety disorder, family cohesion, and suicidality across racial/ethnic groups: Findings from the National Comorbidity Survey-Adolescent (NCS-A). J. Anxiety Disord. 2016. [Google Scholar] [CrossRef] [PubMed]
  49. Zubrick, S.R.; Hafekost, J.; Johnson, S.E.; Lawrence, D.; Saw, S.; Sawyer, M.; Ainley, J.; Buckingham, W.J. Suicidal behaviours: Prevalence estimates from the second Australian Child and Adolescent Survey of Mental Health and Wellbeing. Aust. N. Z. J. Psychiatry 2016, 50, 899–910. [Google Scholar] [CrossRef] [PubMed]
  50. Van Bergen, D.D.; Smit, J.H.; van Balkom, A.J.L.M.; van Ameijden, E.; Saharso, S. Suicidal ideation in ethnic minority and majority adolescents in Utrecht, The Netherlands. Crisis 2008, 29, 202–208. [Google Scholar] [CrossRef] [PubMed]
  51. American Youth Policy Forum. High Schools of the Millennium Report; American Youth Policy Forum: Washington, DC, USA, 2000; Available online: http://www.aypf.org/publications/HSchools_round_3.pdf (accessed on 24 August 2016).
  52. Lagerveld, S.E.; Bultmann, U.; Franche, R.L.; van Dijk, F.J.; Vlasveld, M.C.; van der Feltz-Cornelis, C.M.; Bruinvels, D.J.; Huijs, J.J.; Blonk, R.W.; van der Klink, J.J.; et al. Factors associated with work participation and work functioning in depressed workers: A systematic review. J. Occup. Rehabil. 2010, 20, 275–292. [Google Scholar] [CrossRef] [PubMed]
  53. Strine, T.W.; Kroenke, K.; Dhingra, S.; Balluz, L.S.; Gonzalez, O.; Berry, J.T.; Mokdad, A.H. The associations between depression, health-related quality of life, social support, life satisfaction, and disability in community-dwelling U.S. adults. J. Nerv. Ment. Dis. 2009, 197, 61–64. [Google Scholar] [CrossRef] [PubMed]
  54. Ustün, T.B.; Ayuso-Mateos, J.L.; Chatterji, S.; Mathers, C.; Murray, C.J. Global burden of depressive disorders in the year 2000. Br. J. Psychiatry 2004, 184, 386–392. [Google Scholar] [CrossRef] [PubMed]
  55. Cicconetti, P.; Riolo, N.; Priami, C.; Tafaro, L.; Ettore, E. Risk factors for cognitive impairment. Recent Progress. Med. 2004, 95, 535–545. [Google Scholar]
  56. Tianwu, H.; Watanabe, Y.; Asai, M.; Shimizu, K.; Takada, S.; Mizukoshi, K. Effects of alcohol ingestion on vestibular function in postural control. Acta Oto-Laryngol. 1995, 519, 127–131. [Google Scholar] [CrossRef]
  57. Finkelhor, D.; Ormrod, R.; Turner, H.; Hamby, S.L. The victimization of children and youth: A comprehensive, national survey. Child Maltreat. 2005, 10, 5–25. [Google Scholar] [CrossRef] [PubMed]
  58. Feiring, C.; Miller-Johnson, S.; Cleland, C.M. Potential pathways from stigmatization and internalizing symptoms to delinquency in sexually abused youth. Child Maltreat. 2007, 12, 220–232. [Google Scholar] [CrossRef] [PubMed]
  59. Brent, D.A.; Mann, J.J. Familial pathways to suicidal behavior, understanding and preventing suicide among adolescents. N. Engl. J. Med. 2006, 355, 2719–2721. [Google Scholar] [CrossRef] [PubMed]
  60. Iezzoni, L.I.; O’Day, B.L. More than Ramps. A Guide to Improving Health Care Quality and Access for People with Disabilities; Oxford University Press: Oxford, UK, 2006. [Google Scholar]
  61. Kopelman, R.C.; Moel, J.; Mertens, C.; Stuart, S.; Arndt, S.; O’Hara, M.W. Barriers to care for antenatal depression. Psychiatr. Serv. 2008, 59, 429–432. [Google Scholar] [CrossRef] [PubMed]
  62. Van Beljouwe, I.; Verhaak, P.; Prins, M.; Cuijpers, P.; Penninx, B.; Bensing, J. Reasons and determinants for not receiving treatment for common mental disorders. Psychiatr. Serv. 2010, 61, 250–257. [Google Scholar] [CrossRef] [PubMed]
  63. Institut National de la Statistique et des Études Économiques. Nombre et Taux de Personnes Vivant sous le Seuil de Pauvreté Selon Leur Âge et Leur Sexe. 2013. Available online: http://www.insee.fr/fr/themes/tableau.asp?reg_id=0&id=58 (accessed on 24 August 2016).
  64. Observatoire des Inégalités. Une Couverture Santé à deux Vitesses. 2011. Available online: http://www.inegalites.fr/spip.php?article1450 (accessed on 24 August 2016).
  65. Adam, H. Mental problems of migrant children and their families. Prax. Kinderpsychol. Kinderpsychiatr. 2009, 58, 244–262. [Google Scholar] [CrossRef] [PubMed]
  66. Garcia, C.M.; Saewyc, E.M. Perceptions of mental health among recently immigrated Mexican adolescents. Issues Ment. Health Nurs. 2007, 28, 37–54. [Google Scholar] [CrossRef] [PubMed]
  67. Chau, N.; Predine, R.; Aptel, E.; d’Houtaud, A.; Choquet, M. School injuries and gender differentials: A prospective cohort study. Eur. J. Epidemiol. 2007, 22, 327–334. [Google Scholar] [CrossRef] [PubMed]
  68. Wills, T.A.; Sandy, J.M.; Yaeger, A.; Shinar, O. Family risk factors and adolescent substance use: Moderation effects for temperament dimensions. Dev. Psychopathol. 2001, 37, 283–297. [Google Scholar] [CrossRef]
  69. Mayet, A.; Legleye, S.; Falissard, B.; Chau, N. Cannabis use stages as predictors of subsequent hard drug initiation among French adolescents: Use of a multi-state model. Addict. Behav. 2012, 37, 160–166. [Google Scholar] [CrossRef] [PubMed]
  70. Turpyn, C.C.; Chaplin, T.M. Mindful parenting and parent’s emotion expression: Effects on adolescent risk behaviors. Mindfulness 2016, 7, 246–254. [Google Scholar] [CrossRef] [PubMed]
  71. Prince-Embry, S. Risk behavior and personal resilience in adolescents. Can. J. Sch. Psychol. 2015, 30, 209–217. [Google Scholar] [CrossRef]
Figure 1. Frequency of French, European-immigrant, and non-European-immigrant adolescents with no suicide attempt according to age (year). The log-rank test for equality of the “survivor functions” (for suicide attempt) was significant with p = 0.016 (and with p = 0.005 when European and non-Europeans were grouped).
Figure 1. Frequency of French, European-immigrant, and non-European-immigrant adolescents with no suicide attempt according to age (year). The log-rank test for equality of the “survivor functions” (for suicide attempt) was significant with p = 0.016 (and with p = 0.005 when European and non-Europeans were grouped).
Ijerph 13 01070 g001
Table 1. Comparison between the study population and France [2,12,37]: %.
Table 1. Comparison between the study population and France [2,12,37]: %.
Characteristics of SubjectsStudy PopulationFrance (ESPAD Survey)
(Limited to <16 Years a)<16 Years
Number of subjects15248367
Suicide ideation (last 12 months)11.69.1
Lifetime suicide attempt9.67.2
Girls50.151.1
Family structure
 Intact63.274.7
 Reconstructed15.011.3
 Single parent16.411.7
 Others5.42.3
Obese (with self-reported data)10.66.9
Substance use (last 30 days)
 Tobacco10.713.6
 Alcohol34.734.6
 Cannabis5.15.5
Sleep disorders32.629.0
Asthma17.216.3
Depressive symptoms13.19.8
Sexual abuse3.41.9
Victim of physical and verbal violence (at least once)53.351.5
Involvement in violence (at least once)59.164.7
a were excluded 35 subjects aged 16 years or over.
Table 2. Associations between nationality and various factors: % or mean (SD).
Table 2. Associations between nationality and various factors: % or mean (SD).
Characteristics of Subjects French AdolescentsEuropean Immigrant AdolescentsNon-European Immigrant Adolescentsp Value
Number of subjects14515454
Number of person-years13,541483506
Suicide ideation (during the last 12 months, SI)10.920.424.10.002
Suicide attempt (during the life course)
At least one (SA)9.318.516.70.020
Crude rate per 1000 person-years10.020.717.8
Two or more4.39.311.10.018
Girls50.055.648.20.692
Age (year)13.0 (1.3)12.8 (1.1)13.4 (1.7)0.021
Socioeconomic factors
Family structure <0.001
 Intact63.857.446.3
 Divorced or separated parents and reconstructed family24.735.225.9
 Single parent and other types11.57.427.8
Father’s occupation <0.001
 Managers, professionals, and intermediate professionals29.118.513.0
 Craftsmen, tradesmen, and firm heads19.924.122.2
 Service workers and clerks9.25.613.0
 Manual workers and other occupations17.029.620.4
 Not working6.99.322.2
Low parents’ education (<university)47.666.759.30.007
Insufficient family income16.925.931.50.006
School, behavior, and health-related difficulties
Grade repetition13.622.237.0<0.001
Alcohol consumption a35.631.529.60.564
Tobacco consumption a10.516.724.10.003
Cannabis consumption a5.19.314.80.005
Hard-drug consumption a2.37.411.1<0.001
Depressive symptoms13.118.514.80.489
Victim of physical and verbal violence9.014.813.00.562
Victim of sexual abuse3.41.811.10.010
a Was considered only the consumption which had continued until the day of survey.
Table 3. Factors associated with suicide ideation and suicide attempt: gender-age-adjusted odds ratio (gaOR) or hazard ratio (gaHR) and 95% confidence interval (CI).
Table 3. Factors associated with suicide ideation and suicide attempt: gender-age-adjusted odds ratio (gaOR) or hazard ratio (gaHR) and 95% confidence interval (CI).
Risk FactorsSuicide Ideation in the Last 12 Months (SI)Lifetime Suicide Attempt (SA)
gaOR95% CIgaHR95% CI
Number of subjects145154
Number of person-years13,541483
Nationality
French adolescents1.00 1.00
European immigrant adolescents2.06 *1.04–4.092.02 *1.06–3.84
Non-European immigrant adolescents2.58 **1.34–4.951.81 §0.92–3.57
All immigrants combined2.31 ***1.42–3.761.92 **1.18–3.10
Girls1.60 **1.17–2191.74 ***1.25–2.41
Age (year)1.060.94–1.201.010.88–1.16
Socioeconomic factors
Family structure
Intact1.00 1.00
Divorced or separated parents and reconstructed family2.72 ***1.94–3.812.38 ***1.68–3.38
Single parent and other types1.53 §0.93–2.512.26 ***1.45–3.52
Father’s occupation
Managers, professionals, and intermediate professionals1.00 1.00
Craftsmen, tradesmen, and firm heads1.65 *1.06–2.541.50 §0.96–2.33
Service workers and clerks1.380.76–2.501.330.73–2.43
Manual workers and other occupations1.75 **1.17–2.631.43 §0.94–2.17
Not working1.75 §0.97–3.161.83 *1.05–3.20
Low parents’ education (<university)1.37 *1.01–1.881.46 *1.06–2.01
Insufficient family income2.29 ***1.62–3.252.24 ***1.60–3.05
School, behavior, and health-related difficulties
Grade repetition1.51 *1.00–2.311.92 **1.21–3.04
Alcohol consumption2.95 ***2.11–4.102.64 ***1.84–3.78
Tobacco consumption6.07 ***4.16–8.867.73 ***5.00–11.9
Cannabis consumption4.10 ***2.48–6.773.38 *1.22–9.39
Hard-drug consumption8.54 ***4.54–16.18.13 ***2.97–22.3
Depressive symptoms7.51 ***5.25–10.711.88 ***7.96–17.7
Victim of physical and verbal violence2.40 ***1.71–3.362.48 ***1.64–3.76
Victim of sexual abuse9.52 ***5.47–16.57.22 ***3.78–13.8
* p < 0.05; ** p < 0.01; *** p < 0.001; § p < 0.10 (close to significance); Various school, behavior, and health-related difficulties were considered only when they started before SA.
Table 4. Suicide behaviors for immigrant adolescents vs. French adolescents, and contribution of covariates: odds ratio (OR) or hazard ratio (HR) and 95% confidence interval (CI).
Table 4. Suicide behaviors for immigrant adolescents vs. French adolescents, and contribution of covariates: odds ratio (OR) or hazard ratio (HR) and 95% confidence interval (CI).
Logistic or Cox Regression ModelsSuicide Ideation in the Last 12 Months (SI)Lifetime Suicide Attempts (SA)
OR95% CI% aHR95% CI% a
Number of subjects1559
Number of person-years 14,530
Odds ratio or hazard ratio adjusted for gender and age (gaOR or gaHR)2.31 ***1.42–3.761001.92 **1.18–3.10100
With further adjustment for socioeconomic factors b1.95 **1.18–3.24271.55 §0.95–2.5340
With further adjustment for school, behavior, and health-related difficulties b1.99 *1.11–3.54241.140.68–1.9185
* p < 0.05; ** p < 0.01; *** p < 0.001; § p < 0.10 (close to significance); a Reduction in OR/HR computed with the following formula: (gaOR − ORextended model)/(gaOR − 1) or (gaHR − HRextended model)/(gaHR − 1); b See Table 3.

Share and Cite

MDPI and ACS Style

Chau, K.; Kabuth, B.; Chau, N. Association between Suicide Ideation and Attempts and Being an Immigrant among Adolescents, and the Role of Socioeconomic Factors and School, Behavior, and Health-Related Difficulties. Int. J. Environ. Res. Public Health 2016, 13, 1070. https://0-doi-org.brum.beds.ac.uk/10.3390/ijerph13111070

AMA Style

Chau K, Kabuth B, Chau N. Association between Suicide Ideation and Attempts and Being an Immigrant among Adolescents, and the Role of Socioeconomic Factors and School, Behavior, and Health-Related Difficulties. International Journal of Environmental Research and Public Health. 2016; 13(11):1070. https://0-doi-org.brum.beds.ac.uk/10.3390/ijerph13111070

Chicago/Turabian Style

Chau, Kénora, Bernard Kabuth, and Nearkasen Chau. 2016. "Association between Suicide Ideation and Attempts and Being an Immigrant among Adolescents, and the Role of Socioeconomic Factors and School, Behavior, and Health-Related Difficulties" International Journal of Environmental Research and Public Health 13, no. 11: 1070. https://0-doi-org.brum.beds.ac.uk/10.3390/ijerph13111070

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop