Skip to main content
Iranian Journal of Public Health logoLink to Iranian Journal of Public Health
. 2022 May;51(5):1107–1117. doi: 10.18502/ijph.v51i5.9426

High-Risk Behaviors and Associated Factors among Iranian Adult Population: A National Survey

Bahram Ebrahimi 1, Amin Doosti-Irani 1,2, Forouzan Rezapur-Shahkolai 3,4, Jalal Poorolajal 1,5,*
PMCID: PMC9643248  PMID: 36407734

Abstract

Background:

There is no official and representative information on certain health-risk behaviors in Iran. This national survey was performed to determine the prevalence of five high-risk behaviors among the adult population and underlying factors.

Methods:

This cross-sectional study was performed in 23 provinces of Iran in 2019 involving 10,957 participants. The following five risky behaviors were evaluated: (a) using illicit drugs in the past month, (b) drinking alcohol in the past month, (c) having extramarital sex in the past year, (d) having suicidal thoughts in the past month, (e) and attempting suicide in the past year. The logistic regression model was used for analyses and associations were reported using odds ratio (OR) with its 95% confidence interval (CI).

Results:

The prevalence of health-risk behaviors was as follows: illicit drug use 10.4%, drinking alcohol 16.8%, extramarital sex 9.9%, suicidal thoughts 8.8%, and suicide attempt 5.4%. Almost 27.6% of the participants were involved in at least one risky behavior. There was a strong association between illicit drugs use and male gender 2.51 (2.11–2.98) and using psychiatric medications 2.96 (2.46–3.55); between drinking alcohol and male gender 2.23 (1.93–2.58); between extramarital sex and divorced/widowed status 2.43 (1.72–3.44) and having an intimate friend of the opposite sex 3.75 (3.13–4.51); between suicidal thoughts and using psychiatric medications 2.23 (1.83–2.72); between suicide attempt and a history of running away from home 2.10 (1.64–2.68).

Conclusion:

More than one-fourth Iranian adult population is involved in at least one risky behavior. Engaging in any risky behavior may increase the possibility of engaging in other high-risk behaviors.

Keywords: Health risk behaviors, Adult, Illicit drugs, Alcohols, Sexual behavior, Suicide, Iran

Introduction

Many high-risk behaviors such as alcohol consumption, extramarital sex, drug abuse, and suicidal behaviors are taboo in Iranian society, therefore, there is no official information or comprehensive national survey to give a clear picture of the prevalence of these risky behaviors and their predisposing factors. The available information comes from tiny, non-representative samples of specific populations (16).

A systematic review conducted in 2020 estimated that the prevalence of alcohol consumption among the Iranian adult population varied from 0.03% to 68.0% in different regions, 0.3% to 66.6% in men, and 0.2% to 21.0% in women (7). Another report based on Persian Cohort Study indicated that about 11.9% of the Iranian adult population are drug abusers (8). A meta-analysis including 28 studies from different parts of Iran showed that the overall prevalence of lifetime extramarital or premarital sex was about 24%, 33% in men, and 14% in women (9). Another meta-analysis estimated that smoking prevalence among the Iranian population varied from 12.3% to 38.5% in men, and from 0.6% to 9.8% in women (10). Almost 80% of smokers reported their first experience of smoking before the age of 15 (11).

Despite the great importance of health-risk behaviors, they have not been extensively investigated and reported at the national level in Iran. Reporting the prevalence of high-risk behaviors, while important, is not enough. At present, there is not a clear and comprehensive survey aiming at the risky behaviors and their predisposing factors among the Iranian adult population. Until reliable information on the prevalence of health-risk behaviors and associated predisposing factors is collected, it may be difficult or even impossible to design successful prevention programs and to ensure effective responses.

Therefore, we aimed to determine the prevalence of five risky behaviors among the Iranian adult population and associated underlying factors.

Methods

This cross-sectional study was conducted all across the country on a representative sample of the Iranian adult population in 2019. The Ethics Committee of the Hamadan University of Medical Sciences approved the study (IR.UMSHA.REC.1397.808. Both male and female Iranian adults aged 18 yr or older enrolled in this survey voluntarily and anonymously. Enrollment was not based on any special eligibility requirements. Much effort was made to make the samples representative of the general adult population. The participants were selected from different public parts of the cities where people were expected to go there for their daily affairs such as bus stops, subway stations, department stores, banks, drug stores, mosques, healthcare centers, clinics, hospitals, libraries, universities, campus, restaurants, parks, and gyms.

This study is part of a large survey conducted to assess the prevalence of aggression and risky behaviors among the Iranian general population. The method of sample size calculation was explained elsewhere (12). The sample was selected from the capital cities of 23 out of the 31 provinces. Samples were selected in proportion to the size of the study population. A sample of around 400 was taken from the small provinces (with less than 4 million population) and a sample of around 800 from the big provinces (with more than 4 million population). Finally, 10,957 samples was gathered from 23 provinces.

A self-administered questionnaire was used to collect data including several demographic, behavioral, and cultural characteristics. In cases that participants were not convenient with a self-administered questionnaire, the questionnaire was filled out by the executives through a face-to-face interview.

The outcomes of interest were five high-risk behaviors including (a) using illicit drugs in the past month (b) drinking alcohol in the past month; (c) engaging in extramarital sex in the past month; (d) history of suicide ideation in the past month; and (e) a history of suicide attempt in the past year.

Since the outcomes of interest (risky behaviors) were dichotomous, the association between each risky behavior and independent factors was evaluated using a simple and multiple logistic regression model. The significance level for all statistical analyses was set at 0.05 using Stata software, version 14 (StataCorp, TX, USA).

Results

The participation rate of the study population was 88.6%. Of 10,957 participants, 5,755 (52.9%) were women. The mean (SD) age of the participants was 33.00 (11.31) yr, ranging from 18 to 90 years. As shown in Fig. 1, 3027 (27.6%) had at least one out of five risky behaviors.

Fig. 1:

Fig. 1:

The prevalence of top five risky behaviors among the Iranian adult population

The association between illicit drug use, drinking alcohol, and extramarital sex with demographic, behavioral, and cultural factors are given in Table 1. According to the results of the multiple logistic regression model, male gender, marital status, having an intimate friend of the opposite sex, interest in watching porn movies, being sexually abused in childhood, a history of running away from home or school, and a history of suicidal ideation or attempt were the main risk factors there were associated with illicit drugs use, drinking alcohol, ad extramarital sex.

Table 1:

The association between illicit drugs use, drinking alcohol, extramarital sex, and various demographic, behavioral, and social factors

Variables Illicit drugs use Drinking alcohol Extramarital sex
Unadjusted OR (95% CI) P-value Adjusted OR (95% CI) P-value Unadjusted OR (95% CI) P-value Adjusted OR (95% CI) P-value Unadjusted OR (95% CI) P-value Adjusted OR (95% CI) P-value
Age (yr) 1.00 (0.99–1.00) 0.606 1.00 (1.00–1.01) 0.251 0.98 (0.97–0.98) 0.001 1.00 (0.99–1.01) 0.702 0.98 (0.97–0.98) 0.001 1.00 (0.99–1.01) 0.681
Gender
Women 1.00 1.00 1.00 1.00 1.00 1.00
Men 3.07 (2.68–3.51) 0.001 2.51 (2.11–2.98) 0.001 3.21 (2.88–3.58) 0.001 2.23 (1.93–2.58) 0.001 2.01 (1.77–2.29) 0.001 1.20 (1.01–1.44) 0.041
Marital status
Single 1.00 1.00 1.00 1.00 1.00 1.00
Married 0.80 (0.70–0.91) 0.001 1.52 (1.23–1.87) 0.001 0.52 (0.46–0.57) 0.001 1.22 (1.02–1.46) 0.031 0.42 (0.37–0.49) 0.001 1.13 (0.91–1.41) 0.259
Divorced/Widow 2.54 (2.00–3.22) 0.001 1.70 (1.20–2.40) 0.003 1.92 (1.56–2.36) 0.001 1.71 (1.24–2.36) 0.001 2.52 (2.01–3.15) 0.001 2.43 (1.72–3.44) 0.001
Educational level
Illiterate 1.00 1.00 1.00 1.00 1.00 1.00
School education 0.51 (0.36–0.71) 0.001 0.75 (0.48–1.17) 0.205 0.89 (0.63–1.26) 0.536 1.07 (0.66–1.73) 0.771 0.78 (0.52–1.17) 0.235 1.54 (0.88–2.69) 0.132
Academic education 0.32 (0.23–0.45) 0.001 0.61 (0.38–0.97) 0.037 0.78 (0.55–1.10) 0.158 1.13 (0.69–1.84) 0.629 0.63 (0.42–0.95) 0.027 1.52 (0.86–2.69) 0.148
Reading at least one hour per week
No 1.00 1.00 1.00 1.00 1.00 1.00
Yes 0.56 (0.49–0.63) 0.001 0.94 (0.79–1.11) 0.452 0.62 (0.56–0.69) 0.001 0.76 (0.66–0.88) 0.001 0.58 (0.51–0.66) 0.001 0.83 (0.69–0.99) 0.038
Having an intimate friend of the same sex
No 1.00 1.00 1.00 1.00 1.00 1.00
Yes 0.63 (0.55–0.73) 0.001 0.84 (0.70–1.00) 0.055 0.85 (0.75–0.97) 0.015 0.96 (0.82–1.14) 0.674 0.85 (0.73–0.99) 0.042 0.84 (0.68–1.03) 0.091
Having an intimate friend of the opposite sex
No 1.00 1.00 1.00 1.00 1.00 1.00
Yes 3.22 (2.84–3.65) 0.001 1.38 (1.16–1.65) 0.001 4.87 (4.38–5.41) 0.001 1.77 (1.53–2.04) 0.001 8.08 (7.01–9.33) 0.001 3.75 (3.13–4.51) 0.001
Regular physical exercise per week
No 1.00 1.00 1.00 1.00 1.00 1.00
Yes 0.95 (0.84–1.08) 0.484 0.75 (0.64–0.89) 0.001 1.52 (1.37–1.68) 0.001 1.43 (1.25–1.64) 0.001 1.37 (1.21–1.56) 0.001 1.05 (0.89–1.24) 0.576
Father behavior
Reasonable 1.00 1.00 1.00 1.00 1.00 1.00
Aggressive 3.29 (2.85–3.79) 0.001 1.49 (1.24–1.79) 0.001 2.44 (2.16–2.75) 0.001 1.21 (1.02–1.43) 0.028 2.58 (2.23–2.99) 0.001 1.09 (0.89–1.33) 0.409
Careless 2.67 (2.25–3.17) 0.001 1.25 (0.99–1.57) 0.056 1.88 (1.63–2.18) 0.001 0.94 (0.76–1.15) 0.543 2.30 (1.93–2.74) 0.001 1.08 (0.85–1.38) 0.530
Mother behavior
Reasonable 1.00 1.00 1.00 1.00 1.00 1.00
Aggressive 2.59 (2.20–3.05) 0.001 1.09 (0.88, 1.36) 0.435 2.28 (1.98–2.62) 0.001 1.25 (1.03–1.51) 0.024 2.49 (2.11–2.95) 0.001 0.97 (0.77–1.23) 0.828
Careless 2.88 (2.46–3.38) 0.001 1.39 (1.12, 1.72) 0.003 1.91 (1.66–2.21) 0.001 0.91 (0.74–1.11) 0.341 2.61 (2.21–3.08) 0.001 1.27 (1.00–1.60) 0.046
Parents died during childhood
No 1.00 1.00 1.00 1.00 1.00 1.00
Yes 1.59 (1.35–1.88) 0.001 1.28 (1.03, 1.58) 0.024 1.17 (1.01–1.35) 0.035 0.93 (0.76–1.13) 0.464 1.39 (1.16–1.66) 0.001 1.09 (0.87–1.38) 0.459
Parents divorced during childhood
No 1.00 1.00 1.00 1.00 1.00 1.00
Yes 3.47 (2.84–4.24) 0.001 1.06 (0.81–1.38) 0.690 2.76 (2.29–3.31) 0.001 0.93 (0.72–1.20) 0.580 3.67 (3.00–4.48) 0.001 1.22 (0.93–1.61) 0.156
Ability to control anger
No 1.00 1.00 1.00 1.00 1.00 1.00
Yes 0.48 (0.42–0.55) 0.001 0.97 (0.82–1.14) 0.681 0.49 (0.44–0.54) 0.001 0.87 (0.76–1.00) 0.049 0.42 (0.37–0.48) 0.001 0.78 (0.66–0.93) 0.005
Doing regular prayer
No 1.00 1.00 1.00 1.00 1.00 1.00
Yes 0.38 (0.33–0.44) 0.001 0.79 (0.67–0.95) 0.010 0.18 (0.16–0.20) 0.001 0.29 (0.25–0.34) 0.001 0.28 (0.24–0.32) 0.001 0.78 (0.64–0.95) 0.013
Interest in watching action movies
No 1.00 1.00 1.00 1.00 1.00 1.00
Yes 2.21 (1.95–2.51) 0.001 0.95 (0.81–1.12) 0.540 3.41 (3.07–3.79) 0.001 1.50 (1.30–1.72) 0.001 2.72 (2.38–3.09) 0.001 1.03 (0.86–1.22) 0.776
Interest in watching porn movies
No 1.00 1.00 1.00 1.00 1.00 1.00
Yes 4.54 (4.00–5.15) 0.001 1.75 (1.49–2.06) 0.001 5.04 (4.53–5.61) 0.001 1.63 (1.42–1.88) 0.001 5.96 (5.23–6.79) 0.001 1.84 (1.56–2.18) 0.001
Interest in listening to music
No 1.00 1.00 1.00 1.00 1.00 1.00
Yes 0.81 (0.70–0.94) 0.005 0.87 (0.71–1.05) 0.137 1.35 (1.18–1.55) 0.001 1.20 (1.00–1.44) 0.048 1.02 (0.87–1.19) 0.765 0.90 (0.73–1.11) 0.312
Being sexually abused in childhood
No 1.00 1.00 1.00 1.00 1.00 1.00
Yes 5.53 (4.72–6.47) 0.001 1.47 (1.19–1.82) 0.001 4.35 (3.76–5.03) 0.001 1.39 (1.13–1.71) 0.002 7.28 (6.23–8.51) 0.001 2.66 (2.15–3.28) 0.001
A history of running away from home
No 1.00 1.00 1.00 1.00 1.00 1.00
Yes 8.61 (7.47–9.92) 0.001 1.88 (1.55–2.27) 0.001 6.45 (5.66–7.35) 0.001 1.29 (1.07–1.55) 0.007 7.29 (6.31–8.43) 0.001 1.41 (1.15–1.73) 0.001
History of escape from school
No 1.00 1.00 1.00 1.00 1.00 1.00
Yes 5.13 (4.52–5.83) 0.001 1.47 (1.24–1.74) 0.001 5.63 (5.06–6.27) 0.001 1.91 (1.65–2.20) 0.001 4.39 (3.86–5.00) 0.001 1.15 (0.96–1.37) 0.139
Being at kindergarten in childhood
No 1.00 1.00 1.00 1.00 1.00 1.00
Yes 1.56 (1.37–1.78) 0.001 1.47 (1.24–1.74) 0.001 1.59 (1.43–1.77) 0.001 1.11 (0.96–1.28) 0.158 1.87 (1.64–2.13) 0.001 1.45 (1.22–1.73) 0.001
Using psychiatric medications
No 1.00 1.00 1.00 1.00 1.00 1.00
Yes 6.68 (5.79–7.70) 0.001 2.96 (2.46–3.55) 0.001 3.74 (3.28–4.27) 0.001 1.65 (1.37–1.99) 0.001 3.77 (3.22–4.38) 0.001 0.98 (0.78–1.21) 0.823
Having sexual satisfaction
No 1.00 1.00 1.00 1.00 1.00 1.00
Yes 0.50 (0.45–0.57) 0.001 0.86 (0.72–1.04) 0.117 0.45 (0.41–0.50) 0.001 0.92 (0.78–1.08) 0.293 0.35 (0.31–0.40) 0.001 0.70 (0.58–0.85) 0.001
Attachment to parents
Low 1.00 1.00 1.00 1.00 1.00 1.00
High 0.41 (0.36–0.47) 0.001 0.86 (0.73–1.02) 0.076 0.43 (0.38–0.47) 0.001 0.81 (0.71–0.93) 0.003 0.38 (0.33–0.44) 0.001 0.85 (0.71–1.02) 0.075
Family conflict and hostility
Low 1.00 1.00 1.00 1.00 1.00 1.00
High 1.74 (1.53–1.97) 0.001 1.08 (0.92–1.26) 0.359 1.52 (1.37–1.68) 0.001 0.93 (0.81–1.06) 0.284 1.67 (1.47–1.90) 0.001 0.96 (0.81–1.13) 0.621

Odds ratio (OR) adjusted for all variables in the table

The relationship between suicidal thoughts and suicide attempts with demographic, behavioral, and cultural factors is shown in Table 2. According to the results of the multiple logistic regression model, age, male gender, marital status, a history of running away from home or school, Using psychiatric medications, and having family conflict and hostility were the main risk factors of both suicidal thoughts and suicide attempt.

Table 2:

The association between suicidal thoughts and suicide attempts and various demographic, behavioral, and social factors

Variables Suicidal thoughts Suicide attempts
Unadjusted OR (95% CI) P-value Adjusted OR (95% CI) P-value Unadjusted OR (95% CI) P-value Adjusted OR (95% CI) P-value
Age (yr) 0.96 (0.95–0.97) 0.001 0.98 (0.97–0.99) 0.001 0.97 (0.97–0.98) 0.001 0.99 (0.98–1.00) 0.007
Gender
Women 1.00 1.00 1.00 1.00
Men 0.94 (0.82–1.07) 0.383 0.63 (0.53–0.75) 0.001 0.91 (0.77–1.08) 0.306 0.65 (0.52–0.81) 0.001
Marital status
Single 1.00 1.00 1.00 1.00
Married 0.42 (0.37–0.49) 0.001 0.69 (0.55–0.85) 0.001 0.59 (0.50–0.70) 0.001 1.33 (1.01–1.74) 0.040
Divorced/Widow 1.32 (1.01–1.73) 0.038 0.75 (0.51–1.09) 0.128 2.16 (1.60–2.91) 0.001 1.71 (1.11–2.63) 0.015
Educational level
Illiterate 1.00 1.00 1.00 1.00
School education 0.71 (0.47–1.07) 0.110 1.02 (0.58–1.77) 0.950 0.45 (0.30–0.67) 0.001 0.63 (0.37–1.08) 0.095
Academic education 0.58 (0.38–0.88) 0.010 0.97 (0.55–1.70) 0.905 0.26 (0.17–0.39) 0.001 0.46 (0.26–0.80) 0.006
Reading at least one hour per week
No 1.00 1.00 1.00 1.00
Yes 0.85 (0.74–0.98) 0.035 1.43 (1.19–1.72) 0.001 0.55 (0.46–0.65) 0.001 0.78 (0.62–0.97) 0.025
Having an intimate friend of the same sex
No 1.00 1.00 1.00 1.00
Yes 0.60 (0.52–0.70) 0.001 0.62 (0.52–0.75) 0.001 0.68 (0.56–0.83) 0.001 1.04 (0.81–1.33) 0.763
Having an intimate friend of the opposite sex
No 1.00 1.00 1.00 1.00
Yes 2.50 (2.19–2.86) 0.001 0.99 (0.82–1.19) 0.914 2.75 (2.33–3.25) 0.001 1.20 (0.95–1.51) 0.124
Regular physical exercise per week
No 1.00 1.00 1.00 1.00
Yes 1.17 (1.03–1.34) 0.016 1.03 (0.87–1.21) 0.754 1.27 (1.07–1.49) 0.005 1.23 (1.00–1.52) 0.051
Father behavior
Reasonable 1.00 1.00 1.00 1.00
Aggressive 2.49 (2.13–2.91) 0.001 1.32 (1.07–1.62) 0.008 2.63 (2.18–3.18) 0.001 1.00 (0.78–1.29) 0.992
Careless 2.67 (2.24–3.19) 0.001 1.69 (1.35–2.12) 0.001 2.32 (1.85–2.91) 0.001 0.91 (0.67–1.22) 0.523
Mother behavior
Reasonable 1.00 1.00 1.00 1.00
Aggressive 2.56 (2.16–3.04) 0.001 1.12 (0.89–1.40) 0.335 2.93 (2.39–3.61) 0.001 1.11 (0.84–1.47) 0.445
Careless 2.01 (1.68–2.42) 0.001 0.89 (0.70–1.13) 0.344 2.36 (1.89–2.94) 0.001 1.15 (0.86–1.55) 0.335
Parents died during childhood
No 1.00 1.00 1.00 1.00
Yes 1.44 (1.20–1.73) 0.001 1.08 (0.86–1.36) 0.523 2.12 (1.73–2.60) 0.001 1.60 (1.23–2.07) 0.001
Parents divorced during childhood
No 1.00 1.00 1.00 1.00
Yes 3.72 (3.02–4.57) 0.001 1.18 (0.90–1.55) 0.226 5.12 (4.08–6.43) 0.001 1.50 (1.10–2.03) 0.010
Ability to control anger
No 1.00 1.00 1.00 1.00
Yes 0.46 (0.40–0.52) 0.001 0.84 (0.71–0.99) 0.035 0.41 (0.35–0.49) 0.001 0.80 (0.64–0.98) 0.033
Doing regular prayer
No 1.00 1.00 1.00 1.00
Yes 0.41 (0.35–0.47) 0.001 0.76 (0.63–0.91) 0.002 0.50 (0.42–0.59) 0.001 1.04 (0.82–1.30) 0.765
Interest in watching action movies
No 1.00 1.00 1.00 1.00
Yes 1.98 (1.73–2.26) 0.001 1.21 (1.02–1.43) 0.032 1.68 (1.42–1.98) 0.001 0.94 (0.76–1.17) 0.604
Interest in watching porn movies
No 1.00 1.00 1.00 1.00
Yes 2.68 (2.34–3.07) 0.001 1.10 (0.92–1.32) 0.307 2.90 (2.45–3.43) 0.001 1.03 (0.82–1.29) 0.816
Interest in listening to music
No 1.00 1.00 1.00 1.00
Yes 0.85 (0.73–1.00) 0.060 0.95 (0.77–1.16) 0.608 0.64 (0.53–0.78) 0.001 0.85 (0.67–1.08) 0.188
Being sexually abused in childhood
No 1.00 1.00 1.00 1.00
Yes 5.84 (4.96–6.88) 0.001 1.90 (1.53–2.36) 0.001 6.56 (5.43–7.92) 0.001 1.29 (1.00–1.67) 0.054
A history of running away from home
No 1.00 1.00 1.00 1.00
Yes 5.55 (4.76–6.46) 0.001 1.17 (0.95–1.46) 0.145 8.55 (7.17–10.19) 0.001 2.10 (1.64–2.68) 0.001
History of escape from school
No 1.00 1.00 1.00 1.00
Yes 3.67 (3.20–4.20) 0.001 1.60 (1.33–1.93) 0.001 4.01 (3.39–4.74) 0.001 1.39 (1.10–1.76) 0.005
Being at kindergarten in childhood
No 1.00 1.00 1.00 1.00
Yes 1.92 (1.67–2.20) 0.001 1.28 (1.08–1.52) 0.005 1.84 (1.56–2.19) 0.001 1.25 (1.01–1.56) 0.044
Using psychiatric medications
No 1.00 1.00 1.00 1.00
Yes 5.36 (4.60–6.24) 0.001 2.23 (1.83–2.72) 0.001 6.58 (5.51–7.86) 0.001 1.75 (1.38–2.22) 0.001
Having sexual satisfaction
No 1.00 1.00 1.00 1.00
Yes 0.37 (0.32–0.42) 0.001 0.85 (0.70–1.02) 0.085 0.37 (0.31–0.44) 0.001 0.65 (0.51–0.83) 0.001
Attachment to parents
Low 1.00 1.00 1.00 1.00
High 0.40 (0.34–0.46) 0.001 0.71 (0.60–0.85) 0.001 0.41 (0.35–0.50) 0.001 0.86 (0.69–1.08) 0.194
Family conflict and hostility
Low 1.00 1.00 1.00 1.00
High 1.99 (1.74–2.27) 0.001 1.26 (1.07–1.48) 0.006 2.24 (1.89–2.64) 0.001 1.30 (1.06–1.60) 0.013

Odds ratio (OR) adjusted for all variables in the table

Discussion

The results of this survey indicated that high-risk behaviors are multifactorial behaviors associated with several demographic, social, cultural, and religious factors. Almost 27.6% of the Iranian adult population had engaged in at least one out of five risky behaviors. Furthermore, engaging in any risky behavior can increase the risk of engaging in other risky behaviors and vice versa. Therefore, to prevent high-risk behaviors among the adult population, general regulations are required to cover all risky behaviors simultaneously. That means preventive programs must target all sorts of risky behaviors. People who engage in one risky behavior are more likely to engage in a subsequent risky behavior (1315). They may share several biological and environmental factors. Therefore, effective prevention programs must affect more than one behavior (16).

Based on our findings, the prevalence of suicidal thoughts and was 8.8% and 5.4%, respectively. Several demographical, psychological, biological, social, and cultural factors may influence suicidal behaviors (17,18). Moreover, psychological disorders (19,20), drinking alcohol (21), using illicit drugs (22), smoking (23) can increase the risk of suicidal behaviors. Although suicide may not be visible, it seems like an iceberg that requires special attention. There is a consensus that the rates of suicidal behaviors are usually underestimated and underreported (24,25). Many people who have suicidal thoughts or suicide plans may never present to health services to seek help (26). Therefore, suicide is a hidden general health problem that must be the focus of special attention.

According to our findings, although drinking alcohol is legally forbidden in Iran, about 16.8% of the Iranian adult population drink alcohol. Previous epidemiological studies revealed that alcohol misuse was associated with gender (27), deprivation (28), risky sexual behaviors (29), and many sociodemographic characteristics (3033). Alcohol use is a public health problem that if neglected may be associated with subsequent harmful drinking-related morbidities and mortalities.

Based on our findings, more than 10% of the Iranian adult population used an illicit drug that was associated with several social and environmental elements. We also indicated that illicit drug use was correlated with some conditions date back to early childhood events such as being sexually abused or escaping from home or school and being in kindergarten during childhood. Illicit drug use is also associated with many other factors such as imprisonment (34), educational level (35), and even genetic factors (36). Opioid use disorders are the most common type of illicit drug use in Iran (37) that can result in severe economic and social consequences (38).

This study had some limitations and potential biases as follows. First, this study, like any cross-sectional study was associated with an inherent bias regarding the temporality of the exposures and outcomes. Furthermore, predisposing factors are not separate elements, but they should be considered collectively. Some factors promote while some factors inhibit the occurrence of an event. The interaction of these factors determines whether or not an event occurs (39). Second, we asked some sensitive questions that are cultural and religious taboos in our country. Although participants filled out the questionnaires anonymously, so some participants might give incorrect answers to these questions. Therefore, these factors might be underestimated, and the results might be biased. Although this national survey provides a good picture of the prevalence of health-risk behaviors and their predisposing factors among the Iranian adult population, however, due to the limitations and potential biases mentioned above, the generalizability of the results to the Iranian general population should be done with caution.

Conclusion

More than one-fourth Iranian adult population was involved in at least one risky behavior. Risky behaviors were associated with several demographical, social, and cultural factors, some of which date back to early childhood events. The high-risk behaviors seem to have a synergistic reinforcing effect on one another so that engaging in one risky behavior increased the risk of engaging in other risky behaviors and vice versa. Therefore, preventive measures are not effective or efficient to manage behavioral risks unless they include several risky behaviors simultaneously.

Journalism Ethics considerations

Ethical issues (Including plagiarism, informed consent, misconduct, data fabrication and/or falsification, double publication and/or submission, redundancy, etc.) have been completely observed by the authors.

Acknowledgements

We thank the Vice-Chancellor for Research and Technology of the Hamadan University of Medical Sciences for approval of this work.

Footnotes

Sources of funding

The Vice-Chancellor of Research and Technology, Hamadan University of Medical Sciences funded this study (9711096777).

Conflict of interest

The authors have no conflict of interest to declare.

References

  • 1.Poorolajal J, Ghaleiha A, Darvishi N, et al. (2017). The Prevalence of psychiatric distress and associated risk factors among college students using GHQ-28 Questionnaire. Iran J Public Health, 46(7): 957–963. [PMC free article] [PubMed] [Google Scholar]
  • 2.Mohammadpoorasl A, Abbasi Ghahramanloo A, Allahverdipour H, et al. (2014). Prevalence of Hookah smoking in relation to religiosity and familial support in college students of Tabriz, northwest of Iran. J Res Health Sci, 14(4): 268–71. [PubMed] [Google Scholar]
  • 3.Noroozi M, Marshall BDL, Noroozi A, et al. (2018). Effect of Alcohol Use on Injection and Sexual Behavior among People Who Inject Drugs in Tehran, Iran: A Coarsened Exact Matching Approach. J Res Health Sci, 18 (2): e00416. [PubMed] [Google Scholar]
  • 4.Poorolajal J, Mohammadi Y, Soltanian AR, et al. (2019). The top six risky behaviors among Iranian university students: a national survey. J Public Health (Oxf), 41 (4): 788–797. [DOI] [PubMed] [Google Scholar]
  • 5.Mohammadpoorasl A, Ghahramanloo AA, Allahverdipour H, et al. (2014). Substance abuse in relation to religiosity and familial support in Iranian college students. Asian J Psychiatr, 9: 41–4. [DOI] [PubMed] [Google Scholar]
  • 6.Poorolajal J, Panahi S, Ghaleiha A, et al. (2017). Suicide and associated risk factors among college students. Int J Epidemiol Res, 4 (4): 245–50. [Google Scholar]
  • 7.Chegeni M, Kamel Khodabandeh A, Karamouzian M, et al. (2020). Alcohol consumption in Iran: A systematic review and meta-analysis of the literature. Drug Alcohol Rev, 39 (5): 525–538. [DOI] [PubMed] [Google Scholar]
  • 8.Moradinazar M, Najafi F, Jalilian F, et al. (2020). Prevalence of drug use, alcohol consumption, cigarette smoking and measure of socioeconomic-related inequalities of drug use among Iranian people: findings from a national survey. Subst Abuse Treat Prev Policy, 15: 39. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Khalili M, Mirzazadeh A, Chegeni M, et al. (2020). Prevalence of high-risk sexual behavior among Iranian young people: A systematic review and meta-analysis. Children and Youth Services Review, 119: 105526. [Google Scholar]
  • 10.Moosazadeh M, Ziaaddini H, Mirzazadeh A, et al. (2013). Meta-analysis of Smoking Prevalence in Iran. Addict health, 5 (3–4): 140–153. [PMC free article] [PubMed] [Google Scholar]
  • 11.Moeini B, Poorolajal J, Gharlipour Z. (2012). Prevalence of cigarette smoking and associated risk factors among adolescents in Hamadan City, West of Iran In 2010. J Res Health Sci, 12 (1): 31–7. [PubMed] [Google Scholar]
  • 12.Poorolajal J, Ebrahimi B, Rezapur-Shahkolai F, et al. (2020). The epidemiology of aggression and associated factors among Iranian adult population: a national survey. J Res Health Sci, 20 (4): e00499. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.DuRant RH, Smith JA, Kreiter SR, et al. (1999). The relationship between early age of onset of initial substance use and engaging in multiple health risk behaviors among young adolescents. Arch Pediatr Adolesc Med, 153 (3): 286–91. [DOI] [PubMed] [Google Scholar]
  • 14.Shrier LA, Emans SJ, Woods ER, et al. (1997). The association of sexual risk behaviors and problem drug behaviors in high school students. J Adolesc Health, 20 (5): 377–83. [DOI] [PubMed] [Google Scholar]
  • 15.Escobedo LG, Reddy M, DuRant RH. (1997). Relationship between cigarette smoking and health risk and problem behaviors among US adolescents. Arch Pediatr Adolesc Med, 151 (1): 66–71. [DOI] [PubMed] [Google Scholar]
  • 16.Burke V, Milligan RA, Beilin LJ, et al. (1997). Clustering of health-related behaviors among 18-year-old Australians. Prev Med, 26 (5 Pt 1): 724–33. [DOI] [PubMed] [Google Scholar]
  • 17.Amiri B, Pourreza A, Rahimi Foroushani A, et al. (2012). Suicide and associated risk factors in Hamadan province, west of Iran, in 2008 and 2009. J Res Health Sci, 12 (2): 88–92. [PubMed] [Google Scholar]
  • 18.Poorolajal J, Rostami M, Mahjub H, et al. (2015). Completed suicide and associated risk factors: a six-year population based survey. Arch Iran Med, 18 (1): 39–43. [PubMed] [Google Scholar]
  • 19.Hawton K, van Heeringen K. (2009). Suicide. Lancet, 373 (9672): 1372–81. [DOI] [PubMed] [Google Scholar]
  • 20.Abreu LN, Lafer B, Baca-Garcia E, et al. (2009). Suicidal ideation and suicide attempts in bipolar disorder type I: an update for the clinician. Braz J Psychiatry, 31 (3): 271–80. [DOI] [PubMed] [Google Scholar]
  • 21.Darvishi N, Farhadi M, Haghtalab T, et al. (2015). Alcohol-related risk of suicidal ideation, suicide attempt, and completed suicide: a meta-analysis. PLoS One, 10 (5): e0126870. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.Poorolajal J, Haghtalab T, Farhadi M, et al. (2016). Substance use disorder and risk of suicidal ideation, suicide attempt and suicide death: a meta-analysis. J Public Health (Oxf), 38 (3): e282–e91. [DOI] [PubMed] [Google Scholar]
  • 23.Poorolajal J, Darvishi N. (2016). Smoking and Suicide: A Meta-Analysis. PLoS One, 11 (7): e0156348. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.Reynders A, Scheerder G, Van Audenhove C. (2011). The reliability of suicide rates: an analysis of railway suicides from two sources in fifteen European countries. Journal of Affective Disorders, 131 (1–3): 120–127. [DOI] [PubMed] [Google Scholar]
  • 25.Varnik P, Sisask M, Varnik A, et al. (2010). Suicide registration in eight European countries: A qualitative analysis of procedures and practices. Forensic Sci Int, 202 (1–3): 86–92. [DOI] [PubMed] [Google Scholar]
  • 26.Centers for Disease Control and Prevention (2013). Understanding suicide: fact sheet. Available from: http://www.cdc.gov/violenceprevention/pub/suicide_factsheet.html
  • 27.Thompson A, Wright AK, Ashcroft DM, et al. (2017). Epidemiology of alcohol dependence in UK primary care: Results from a large observational study using the Clinical Practice Research Datalink. PLoS One, 12 (3): e0174818. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28.Grant BF, Saha TD, Ruan WJ, et al. (2016). Epidemiology of DSM-5 Drug Use Disorder: Results From the National Epidemiologic Survey on Alcohol and Related Conditions-III. JAMA Psychiatry, 73 (1): 39–47. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29.Francis JM, Weiss HA, Mshana G, et al. (2015). The Epidemiology of Alcohol Use and Alcohol Use Disorders among Young People in Northern Tanzania. PLoS One, 10 (10): e0140041. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30.Kuntsche E, Knibbe R, Gmel G, et al. (2006). Who drinks and why? A review of socio-demographic, personality, and contextual issues behind the drinking motives in young people. Addict Behav, 31 (10): 1844–57. [DOI] [PubMed] [Google Scholar]
  • 31.Amemori M, Mumghamba EG, Ruotoistenmaki J, et al. (2011). Smoking and drinking habits and attitudes to smoking cessation counselling among Tanzanian dental students. Community Dent Health, 28 (1): 95–8. [PubMed] [Google Scholar]
  • 32.Bryden A, Roberts B, Petticrew M, et al. (2013). A systematic review of the influence of community level social factors on alcohol use. Health Place, 21: 70–85. [DOI] [PubMed] [Google Scholar]
  • 33.Khezeli M, Hazavehei SM, Ariapooran S, et al. (2019). Individual and social factors related to attempted suicide among women: A qualitative study from Iran. Health Care Women Int, 40 (3): 295–313. [DOI] [PubMed] [Google Scholar]
  • 34.Jafari S, Moradi G, Gouya MM, et al. (2019). Predictors of Drug Injection in High-Risk Populations of Prisoners with a History of Tattooing: A Cross-Sectional Study. J Res Health Sci, 19 (1): e00435. [PMC free article] [PubMed] [Google Scholar]
  • 35.Ghoreishi SMS, Shahbazi F, Mirtorabi SD, et al. (2017). Epidemiological Study of Mortality Rate from Alcohol and Illicit Drug Abuse in Iran. J Res Health Sci, 17 (4): e00395. [PubMed] [Google Scholar]
  • 36.Merikangas KR, McClair VL. (2012). Epidemiology of substance use disorders. Hum Genet, 131 (6): 779–789. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37.Amin-Esmaeili M, Rahimi-Movaghar A, Sharifi V, et al. (2016). Epidemiology of illicit drug use disorders in Iran: prevalence, correlates, comorbidity and service utilization results from the Iranian Mental Health Survey. Addiction, 111 (10): 1836–47. [DOI] [PubMed] [Google Scholar]
  • 38.Azhdar F, Esmaeilnasab N, Moradi G, et al. (2017). Estimation of Intravenous Drug Users’ Population in Kermanshah City, West of Iran in 2016 using Capture-recapture Method. J Res Health Sci, 17 (3): e00388. [PubMed] [Google Scholar]
  • 39.Poorolajal J. (2020). Equivalence model: A new graphical model for causal inference. Epidemiol Health, 42: e2020024. [DOI] [PMC free article] [PubMed] [Google Scholar]

Articles from Iranian Journal of Public Health are provided here courtesy of Tehran University of Medical Sciences

RESOURCES