Abstract
Background
#Substanceuse is referring to the use of psychoactive substances like chat, cigarettes, #alcohol, and others. The use of substances particularly (#alcohol, chat, and cigarette) is a major #mentalhealth burden in developing countries including Ethiopia among #youth. #Suicideideation and an attempt are thinking or trying to kill oneself that facilitates the act of a person intentionally causing his or her death. #Suicide is one of the most serious #mentalhealthproblems and has a great social impact in the world as it is currently the third leading cause of death for #youth. #Youth is defined as the period of life between #childhood and maturity with an age interval of (15–25).
Method
A cross-sectional study design was used to assess the prevalence of #suicidalideation and attempts with #substanceuse among #youth in northwest Ethiopia. Multi-stage sampling techniques of stratified with simple random sample ware used. In the first stage, substance users are selected then as the second stage among substance users the burden of #suicide #behavior is assessed. ASIST, DASS-21, and other tools were used to assess #suicidalbehavior with #substanceuse and associated factors. Data were edited, purified, and entered into Epi-data version 4.6 before being exported to the statistical package for social sciences version 20 for analysis of bi-variables to see the associations’ p-value <?0.2 and multi-variables to identify the associated variables with a p-value of <?0.05 AOR and CI also done.
Results
From a total of 372 substance user participants over all prevalence of #suicidalideation and attempt among #youth was 54(14.5%) with 95% CI of (11.0,18.0) and 37(9.9%) with 95% CI (7.0, 13.0) respectively. Being #female [AOR =2.36;95% CI:(1.19, 4.68)], poor social support [AOR =3.03; 95% CI: (1.11, 8.25)], and #anxiety [AOR?=?3.82: 95% CI; (1.96, 7.46)].
Conclusion and recommendations
The prevalence of #suicidalideation and attempt among substance users was 14.5 and 9.9% respectively therefore, immediate interventional actions needed to be administered to decrease the burden of #suicide by reducing #substanceuse and other associated factors.
Introduction
#Substanceabuse is a major global health problem related to multiple adverse #mentalhealth and social outcomes for the younger generation [1]. In most parts of the world, the use of the substance is a phenomenon that can result in displays in terms of both morbidity and death [2,3,4]. It has been established that substance use including cigarettes, #alcohol, and other substances is a worldwide threat that affects young people [5]. Worldwide use of substances is estimated that #alcohol causes 1.8 million or 3.2% of death and using tobacco is estimated to kill greater than 5 million people each year [6, 7]. The consumption of substances has different adverse effects including violence and #suicide, particularly for #youth [8]. Recently studies indicate the relationship between #substanceuse and #suicide needs to be solved to reduce its burden [9,10,11].
#Suicidalideation is defined as thoughts of self-killing or serving as the agent of one’s death intentionally the seriousness depends on the degree of intent and plan for the #suicideattempt and completed #suicide including #youth [12]. There is a strong association between #substanceuse and Suicidal among #youth which brings ill-adjusted life [8]. Even though #suicide has a significant public health impact can be reduced by minimizing the underline cause or precipitating factors like substance use. Knowing the linkage between #substanceuse and #suicide established to understand and apply the mechanism of designing a better management principle and guideline for appropriate interventions [11].
#Suicide is the second leading cause of death for those between the ages of 15 and 29 worldwide, accounting for 1.4% of all deaths [13]. The magnitude of #suicide has increased by 16.6% from time to time in the last decades [14]. According to the Mexican National Comorbidity Survey, the burden of #suicidalbehavior, including thought, planning, and attempt, is becoming more and more severe among people [15]. In Canada, #suicidalbehavior becomes the second leading cause of death unexpectedly before the natural pose 11.3 per 100,000 fatalities, however, it is the third leading cause of death in young people [16, 17]. #Suicide may not always end with death which means there is non-fatal #suicidalbehavior after attempting it more commonly from 25 to 50 times [18]. #Suicidalattempt from #youth is a significant factors to accomplish [19]. The burden of #suicidalattempts in the sub-Saharan African countries among #youth was 28 .3% [20]. Even if the amount of substance particularly #alcohol consumed at the time of a #suicidalattempt is not exactly recorded it is one of the major triggering factors for #youth.
Few reports demonstrate the connection between other substances and #suicide but the consumption of #alcohol and #suicidalbehaviors was well studied relatively [11]. Some substances might be used for direct #suicide behavers to end life by taking an overdose, especially #females attempt by posing with similar #drug and there is limited #suicidal management guideline for #adolescents [21, 22].
Studies that try to estimate the prevalence of #suicidalideation and attempts among #children and #youth in sub-Saharan countries [23]. In Ethiopia’s meta-analysis and systematic review, the prevalence of #suicidalideation and attempted #suicide ranged from 1 to 55 and 0.6% to 14% respectively. Another cross-sectional study in Ethiopia among #students showed the prevalence of #suicideideation and attempts among study participants was found to be 14 to 58.3% and 4.4, to 7.4%, respectively [24,25,26].
#Suicidalideation and/or attempts were statistically significantly correlated with living alone, #depression, depressed mood, family history of #mentalillnesses, prior psychiatric disorders, gender, poor social support, feeling neglected by #parents, the end of a committed romantic relationship, and poor physical health [24, 27]. Living alone, depressed mood, family history of #mentalillnesses, previous psychiatric disorders, #gender, poor social support, feeling neglected by #parents, the breaking of a steady love relationship, and poor physical health were statistically significantly associated with #suicidalideations and/or attempts [24,25,26,27,28]. Little is known about #suicideideation and #behavior among #youth especially since there is no study conducted at the community level. The present studies show the burden of #suicide only, the relationship between #substanceuse and #suicide is not yet found. Therefore, the major objectives of this study were to determine the burden of #suicidalideation and/or attempts with #substanceuse among #youth at the community level in Ethiopia.
Methods and materials
Study area
#Suicidalideations and/or attempt with #substanceuse were conducted in Central Gondar Zone Northwest Ethiopia. Central Gondar Zone is located in the Northwest of Ethiopia in Amhara regional which area covers 21,791.83 KM2. In central Gondar is a newly formed zone from the previous North Gondar zone. In the central Gondar zone, there are 16 districts (15 rural districts and Gondar special district) and 442 kebeles. According to the 2012 E. C population statistics the central Gondar zone population was estimated at 2,642,138. Of this, 575,656 young people (15 to 24?years old) made up 21.79% of the overall population. #Males and #females make up 286,385 and 289,271 of the #youth, respectively.
Source and study population
Sources population
All #youth (15–24?years old) who were living in Central Gondar Zone.
Study population
All #youth in the Central Gondar zone who were living in the selected Kebeles.
Inclusion and exclusion criteria
Inclusion criteria
All #youth aged (15–25?years old) were included in the study.
Exclusion criteria
#Youth who were unable to communicate due to severe #mental/ physical illness were excluded.
Sample size and sampling technique
The sample size was determined by two stages, the first stage was calculated to determine the prevalence of #substanceuse and the second stage was to determine the prevalence of substance-induced #suicidalideation and attempts among substance users as described below.
In the first stage, the required sample for this study was determined by using both single population proportion formulas and two population proportion formulas. A high value was taken from the single and two population proportion formula to get the maximum sample size. Epi-Info software was used to calculate and the following formula was also used to calculate manually.
Where:p?=?estimated prevalence was taken from the previous study conducted in Woldiya town preparatory #school among #student on the current #substanceuse (34.6%) [29].d?=?Margin of error (d) =3%?=?0.04.Z?/2?=?Z value at (??=?0.05)?=?1.96 corresponding to 95% confidence level.
Since we have used the multistage sampling technique design effect of two is multiplied by the calculated sample which gives 1196. Then adding 10% (1196?×?0.1?=?119.6???120) as a non-response rate the total sample size for prevalence is 1196?+?120?=?1316. Therefore, the minimum required to sample for this study is 1316 (Table 1).Table 1 Calculating sample size by considering associated factors for the estimation of minimum required sample size for the study
Our study region is large, making a single stage challenging, hence the multistage sampling technique was adopted. To provide everyone an equal opportunity of being chosen, the zone was a geographic cluster based on each district’s woredas and then down to Kebele. The number of participants at each randomly selected kebele were allocated proportionally based on the size of the #youth to be obtained from the central Gondar zone. Finally, from the randomly selected Kebeles, participants were recruited from Ketenas (Gott) inside Kebele until the proportional sample was filled with a cluster sampling technique which was surveyed randomly in each stage based on the rule of thumb (Fig. 1).
In the second stage, the participant were one or more substance users in the last 3?months from the whole sampled #youth. From the first stage calculated sample (1316), the substance users considered whether they have #suicidalideation or attempt with #substanceuse. Therefore, from the above (1316) recreated samples 370 were current substance users that are considered for the further analysis of substance-induced #anxietydisorders.
Operational definitions
#Suicidalideation: is the respondents, answer the question, have you seriously thought about killing self in the last one month? If yes, the respondent is considered as experiencing #suicidalideation.
#Suicidalattempt: is defined as, if the respondents, answer the question have you attempted #suicide in the last one month? If yes, the respondent is regarded as experiencing a #suicidalattempt [30].
#Youth: denote the late #adolescent and young #adult (15–25?years old) that developmental dramatic change takes place like rapid physical growth, cognitive and moral development as well as emotional development and change. This age category needs properly managed unless #youth may prone to risk-taking #behaviors, including #substanceuse [31].
Ever #substanceuse: based on ASSIST individuals who use at least one specific substance once in their life like #alcohol, tobacco, and cigarette.
Current #substanceuse: means based on ASSIST individuals who use at least one of the specified common substances in the last three months [32].
#Anxiety: is defined based on the DASS-21 #anxiety subscale, individuals who scored 15 or more were considered to have #anxiety.
#Stress: is defined based on the DASS-21 #stress subscale, individuals who scored greater than or equal to 26 are considered as having #stress [33].
Perceived social support: as MSPSS-12 items, any means scale score ranging from 1 to 2.9 could be considered low support; a score of 3 to 5 could be considered moderate support; a score from 5.1 to 7 could be considered high support [34].
Study variables
Dependent variable
#Suicidalideation and/or attempt with substance users.
Independent variables
Personal characteristics: #Gender, age, religion, marital status, educational status, occupation, residency, and current living arrangement. Family-related variables: family size, father’s/mother’s level of education, occupational status of father/ mother, biological parents alive, having a family member using a substance, the recent loss of loved ones, and having a friend using a substance. Psycho-social variables: Perceived social support, level of psychological #stress. Substance use: such as #alcohol and chat, and cigarettes.
Data collection procedure and tool
The first part of the data was a socio-demographic questionnaire that include basic demographic and family-related characteristics of participants.
The second part of the data was the #Alcohol, Smoking, and Substance Involvement Screening Test (ASSIST) questionnaire that was used to assess risky substance use. The ASSIST consists of eight questions covering tobacco, #alcohol, cannabis, cocaine, amphetamine-type stimulants, inhalants, sedatives, hallucinogens, opioids, and other #drugs. The WHO recommended ASSIST cut-off scores for conventional risk levels (low, moderate, high) are as follows: for alcoholic beverages: low risk (0–10), moderate [11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26], and high risk (27+).
Substances other than #alcohol are categorized based on the following scores low (0–30, moderate [4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26], and high risk (27+).
The third part #Depression, #Anxiety and #Stress Scale-21 Items (DASS-21) were used to assess the presence of #depression, #anxiety, and #stress. Each of the DASS-21 scales contains 7 items, divided into subscales with similar content. The responses for each statement scored on a Likert scale from 0 to 3 which indicates how much the statement applied to you over the last week. DASS-21 needed to be multiplied by 2 to calculate the final score.
The recommended cut-off scores for conventional severity labels (normal, moderate, severe) are as follows:
? #Anxiety: 0–7 normal; 8–9 mild; 10–14 moderate and 15 and above severe.
? #Stress: 0–14 normal, 15–18 mild, 18–25 moderate, and score greater than 26 severe.
? #Depression: 0–9 rated as normal; 10–13 mild, 14–20 moderate; 21 and above severe.
The fourth part of the questionnaire was the Multidimensional Scale of Perceived Social Support (MSPSS) contains a 12-item scale designed to measure perceived social support from three sources: Family, Friends, and a Significant Other. The scale is comprised of a total of 12 items, with 4 items for each subscale.
Significant Other Subscale: Sum across items 1, 2, 5, & 10, and then divide by 4. Family Subscale: Sum across items 3, 4, 8, & 11, and then divide by 4. Friends Subscale: Sum across items 6, 7, 9, & 12, and then divide by 4. Total Scale: Sum across all 12 items, then divide by 12. In this approach any mean scale score ranging from 1 to 2.9 could be considered low support; a score of 3 to 5 could be considered moderate support; a score from 5.1 to 7 could be considered high support.
Data quality assurance
The questionnaire was translated by bilingual experts after first being prepared in the English language, then back-translated Amharic language. 15 data collectors (BSc in Psychiatry) and 5 supervisors (#mentalhealthprofessionals) were selected, and training was provided for a 2 half days duration about data collection tools, collection techniques, and ethical issues during the selection and collection of the data. The supervisors have assessed the consistency and completeness of data on daily basis. A pre-test of all structured questionnaires was checked on 5% of young people before the main data collection. A pre-test was conducted in the North Gondar which is out of the study area among #youth.
Data analysis procedure
The data was entered into the appropriate statistical software program (Epi-Data 4.6 version) and then exported into SPSS version 20 for further analysis. Descriptive statistics were used to measure the summarize the statical data distribution. Bi-variable logistic regression was conducted to check the associated factors with #suicidalideation and/or attempt with a p-value of <?0.2 to be reanalysis in multi-variable regression. Multi-level binary logistic regression analysis was performed to assess the significant associated factors of #suicideideation and/or attempt. Adjusted odds ratio with 95% confidence interval was used to declare statistically significant variables based on p?<?0.05 in the multivariable logistic regression model. The basic assumptions and model fitness of the statistical analysis model used in this study was 75.30 on Hosmer and Lemeshow test. The absence of collinearity among independent variables was determined by VIF, which means there is no collinearity since it is greater than ten. Therefore, the outcome variable was distributed normally with the determinant factors.
Results
Social-demographic characteristics of participants
Of a total of 1316 participants, 372 were substance users at least one of them for the last three months to be included for the analysis of #suicidalideation and/ or attempt. Of the respondents 274 (73.7%) were #male and the mean age of participants was 20.51 with a standard deviation of ±2.605. Most of the study participants were 316(84.9%) Orthodox and 48(12.9) Muslim religious followers. Of the participant, 184(49.5%) were #highschoolstudents and a total of 217(58.3%) were #students including #highschoolstudents but 55(14.8%) were a merchant. More than half of the respondents 222(59.7%) were from urban residences and 266(71.5%) were living alone. Among the study participants,143(38.4%) had a family who use #alcohol and 181(48.7%) had a friend who use substances (Table 2).Table 2 Sociodemographic characteristic of study participants among #youth in Northwest Ethiopia
Psychological factors
Among the participants 47(12.6%) had poor social support, 195(52.4%) had moderate social support and 130(34.9%) had high social support. Of the respondents, 10(2.7) had stress (Table 3).Table 3 Psychosocial factors of study participants among #youth in Northwest Ethiopia
Prevalence of #suicidalideation and attempt
The prevalence of #suicideideation and attempt among substance users’ #youth were 54(14.5%) with 95% CI of (11.0,18.0) and 37(9.9%) with 95% CI (7.0, 13.0) respectively (Figs. 2 and 3).
Associated factors of #suicidalideations and attempt
From bi-variables logistic regression analysis being #female, age, #alcohol use family, friend’s use of the substance, poor social support, being stressed, #anxiety and #depression were associated with #suicidalideation with a p-value of less than 0.2. From bi-variables multi-variables logistic regression being #female, poor social support, and presence of #anxiety were associated with #suicidalideation with a p-value of less than 0.05.
From the associated factors being #females was 2.36 time more likely to develop #suicidalideation as compared with #male participants [AOR =2.36: 95% CI:(1.19, 4.68)].
The probability of developing #suicidalideation was 3.03 times more with poor social support as compared to other participants [AOR =3.03; 95% CI: (1.11, 8.25)].
The probability of developing #suicidalideations among anxious #youth was 3.82 times more likely as compared to the participant without #anxiety [AOR?=?3.82: 95% CI; (1.96, 7.46)] (Table 4).Table 4 Regression table of #suicidalideations with substance users among #youth in Northwest Ethiopia
Form bi-variables logistic regression analysis sex, marital status, father’s education, mother’s education, #alcohol users’ family, loss of loved one, #anxiety, and poor social support were associated with #suicidalattempts with a p-value of less than 0.2. From bi-variables multi-variables logistic regression analysis being #female and poor social support wear associated with #suicidalattempts with a p-value of less than 0.05.
Of significantly associated factors being #female was 2.56 times more at risk to develop #suicidalattempts than #male #youth participants [AOR?=?2.56; 95% CI: (1.14, 5.73)].
The probability of development of #suicidalattempts among youth participants with poor social support was 6.46 times more likely as compared to other participants [AOR?=?6.46; 95% CI: (2.35, 17.8)] (Table 5).Table 5 Regression table of #suicidalattempts with #substanceuse among #youth in Northwest Ethiopia
#James Donaldson notes:
Welcome to the “next chapter” of my life… being a voice and an advocate for #mentalhealthawarenessandsuicideprevention, especially pertaining to our younger generation of students and student-athletes.
Getting men to speak up and reach out for help and assistance is one of my passions. Us men need to not suffer in silence or drown our sorrows in alcohol, hang out at bars and strip joints, or get involved with drug use.
Having gone through a recent bout of #depression and #suicidalthoughts myself, I realize now, that I can make a huge difference in the lives of so many by sharing my story, and by sharing various resources I come across as I work in this space. #http://bit.ly/JamesMentalHealthArticle
Order your copy of James Donaldson’s latest book,
#CelebratingYourGiftofLife:
From The Verge of Suicide to a Life of Purpose and Joy
www.celebratingyourgiftoflife.com
Discussions
The prevalence of #suicidalideations and attempt with substance users among #youth were 54(14.5%) with 95% CI of (11.0,18.0) and 37(9.9%) with 95% CI (7.0, 13.0) respectively. The #suicidalattempts occurred after the existence of #suicidalideation which indicates the severity of the #behaviors.
The prevalence of both #suicidalideation and attempt were in line with other studies conducted in Ethiopia 14 and 7.4% respectively [24], France 15.2 and 6.3% [35], and Bangladesh 12.8% [36]. In another way, the prevalence of #suicidalideation and attempt was higher than in other studies conducted in China 2.7% [37], pooled China study 2.8% [38]. The discrepancy might be explained by the other studies conducted without considering substance users but our study is assessed among substance users increase the risk of #suicidalbehaviors. The finding of this study also showed the prevalence of #suicidalideation and attempt was lower than in other studies conducted in Jamerica at 38 and 25% [39]. The possible reason for the discrepancy might be due to the effect of different sitting and sociodemographic factors on the participant in developed countries as compared to Ethiopian youth [38]. The other reason could be the evidence of the presence of high social functioning and religiosity in the community.
There are several factors associated with both #suicidalideation and attempt from substance users among #youth. Being #female was one of the factors associated with both #suicidalideation and attempt. This finding is consistent with other studies conducted in [24, 40,41,42].
The probable evidence of the association might be because #females are more depressed and anxious as compared to #males [40, 41]. The use of substances-induces #suicide due to directly causing #suicidalthoughts, especially #alcohol, and indirectly by increasing the other factors like #stress and #anxiety finally leading s to #suicidalbehaviors [40]. #Females are less tolerant of emotional #stress and challenges due to the effect of a culture that prohibited them to reflect on their intention could be the other evidence that leads to #suicidalbehavior [42]. The vulnerability of psychosocial distress includes #depression due to the hormonal difference, #stress, and #behavioral model of learned helplessness [24, 43].
Participants who had poor social support were the other associated factors for both #suicidalideation and attempt. This result is concordant with other studies conducted in other Ethiopia, Japan, Pakistan, and Mozambique [43,44,45,46,47]. The possible reason for the association could be that being neglected by neighbors, friends, families, and others significantly lead to a feeling of #hopelessness and worthlessness which finally leads to #suicide [44, 45]. Getting support from peers and finding close friends highlight the role of social support in the mitigate the adverse effect of challenges of #mentalillness and other psychosocial developmental among #youth [47]. The other reason might be because #youth are mostly considered their friends, family member, and others significant as a source of emotional, advisor, and #financial source of support at the time of crisis finally which leads to #suicidalbehaviors [48]. The other reason for association might be because they confine their challenge to their close is very easy and safe which gives protects from #suicidalbehavior.
The presence of #anxiety was one of the major factors associated only with #suicidalideation but not with #suicidalattempts. This finding is consistent with other studies conducted on European youth [49], The possible reason for the association might be due to because fright and fear of being mad finally lead to emotional #stress that causes #suicidalbehaviors [49, 50]. The other reason for the association of #anxiety could be evidenced by excessively worrying about many situations and the effect of frightening the situation they are worried about. Being anxious for unspecific tasks leads to #hopelessness and worthlessness which ends with serious #suicidalideations.
Limitation of the study
This study is not without drawbacks, the weakness of this paper is it can’t tell the temporal relationship between the outcome and determinant variables and the nature of the cross-sectional study design.
Conclusions and recommendations
The prevalence of suicidal and/or attempt with #substanceabuse was high therefore, immediate interventions were needed since it is a very fatal and serious #mentalillness. It is recommended to decrease the consumption of substances to decrease the #suicidalbehaviors among #youth particularly among #females’ special attention needs to give since there are factors that increase the burden on #females by the integration of zonal administrative and health bureau. The other recommendation for the zone community is for the social interaction functioning tried to be increased to mitigate the burden of #anxiety and finally the burden of #suicidalbehaviors.
James Donaldson is a Washington State University graduate (’79). After an outstanding basketball career with WSU, he went on to play professional basketball in the NBA with the Seattle Supersonics, San Diego/L.A. Clippers, Dallas Mavericks, New York Knicks, and Utah Jazz. He also played for several teams in the European Leagues in Spain, Italy, and Greece, and he toured with The Harlem Globetrotters to wrap up his career. James was an NBA All-Star in 1988 while playing center for the Dallas Mavericks. In 2006, James was inducted into the Pac-10 Sports Hall of Fame and also the Washington State University Athletic Hall of Fame. In 2010, James was elected as a board member for the NBA Retired Players Association.
James frequently conducts speaking engagements (motivational, inspirational, educational) for organizations, schools, and youth groups.
In 2010, James was the recipient of the NBA Legends of Basketball ABC Award, awarded for outstanding contributions in Athletics–Business–Community.
He believes in being a role model for success and professionalism to the scores of young people to whom he devotes so much of his time. He currently serves on several boards and committees and is a member of many organizations.
James believes in developing relationships that create a “Win-Win” environment for everyone involved, and in being the best he can be!
For more information about James Donaldson or to request he speak at your event, contact him at:
www.StandingAboveTheCrowd.com
[email protected]
1-800-745-3161 (voicemail & fax)
James Donaldson is the author of “Standing Above The Crowd” and “Celebrating Your Gift of Life” and founder of the Your Gift of Life Foundation which focuses on mental health awareness and suicide prevention, especially pertaining to our school aged children and men.
If you’re interested in having James come and speak to your group of young adults, business entrepreneurs, aspiring political and community leaders, and athletic teams, please contact him at [email protected] and or leave a personal message for him at 1-800-745-3161. Keep up with him and read about how he is reaching out and making a difference in the lives of so many around the world at www.yourgiftoflife.org
