Cite Score:
0.86
CITE SCORE SCOPUS

Effects of Adverse Early-Life Experiences on Sexually Transmitted Infections Among Homeless Women

AUTHORS

Arezoo Fallahi 1 , Azam Rahmani 2 , Seyed Ali Azin 3 , Nader Molavi 4 , Peter Higgs 5 , Leila Allahqoli 6 , *

1 Social Determinants of Health Research Center, Research Institute for Health Development, Kurdistan University of Medical Sciences, Sanandaj, Iran

2 Nursing and Midwifery Care Research Center, Tehran University of Medical Sciences, Tehran, Iran

3 Reproductive Biotechnology Research Center, Avicenna Research Institute (ACECR), Tehran, Iran

4 Department of Addiction Studies, Faculty of Medicine, Kashan University of Medical Sciences, Kashan, Iran

5 Department of Public Health, La Trobe University, Melbourne, Australia

6 Endometriosis Research Center, Iran University of Medical Sciences (IUMS), Tehran, Iran

How to Cite: Fallahi A, Rahmani A, Azin S A , Molavi N, Higgs P, et al. Effects of Adverse Early-Life Experiences on Sexually Transmitted Infections Among Homeless Women, Int J High Risk Behav Addict. Online ahead of Print ; In Press(In Press):e91295. doi: 10.5812/ijhrba.91295.

ARTICLE INFORMATION

International Journal of High Risk Behaviors and Addiction: In Press (In Press); e91295
Published Online: September 11, 2019
Article Type: Research Article
Received: March 6, 2019
Revised: August 27, 2019
Accepted: July 31, 2019
Crossmark

Crossmark

CHEKING

READ FULL TEXT
Abstract

Background: Homeless women are at high risk of sexually transmitted infections (STIs) due to their adverse early-life experiences.

Objectives: This study aimed to examine the association between adverse early-life experiences and the risk of acquiring STIs among homeless women in Tehran.

Patients and Methods: A descriptive-analytical cross-sectional study was carried out in 2014. The study recruited 241 homeless women through quota sampling from the drop in centers and shelters affiliated to a local welfare organization in Tehran, Iran. Data were obtained using questionnaires on demographics and adverse early-life experiences. Blood and urine samples were tested for human immunodeficiency virus (HIV), herpes simplex virus 2 (HSV-2), syphilis, Chlamydia trachomatis, and Neisseria gonorrhea. Descriptive statistics including frequency were calculated for all variables. To analyze the data at a significance level of 0.05, binary logistic regression was used.

Results: The prevalence rates of HIV/AIDS, HSV-2, syphilis, Chlamydia trachomatis, and Neisseria gonorrhea were 8.29%, 23.65%, 14.93%, 11.61%, and 6.63%, respectively. The results of logistic regression showed that the risk of acquiring STIs increases by factors such as sexual abuse (OR = 4.06; 95% CI = 1.21 - 13.6, P = 0.02), running away from home (OR = 4.46; 95% CI = 1.67 - 12.89, P = 0.03), drug use (OR = 3.93; 95% CI = 1.13 - 13.58, P = 0.03), alcohol use (OR = 4.12; 95% CI = 1.38 - 12.24, P = 0.01), imprisonment and criminal records (OR = 2.72; 95% CI = 1.01 - 7.52, P = 0.04), premarital sexual activity (OR = 4.71; 95% CI = 1.06 - 13.84, P = 0.05), divorce (OR = 3.47; 95% CI = 1.06 - 11.32, P = 0.03), Nikah mut’ah (OR = 4.33; 95% CI = 1.39 - 13.49, P = 0.01), having multiple sex partners (OR = 5.2; 95% CI = 1.81 - 14.96, P = 0.02), and having unprotected sexual relationships (OR = 3.69; 95% CI = 1.00 - 13.62, P = 0.05).

Conclusions: Homeless women had high rates of adverse early-life experiences and overall 41.49% of them were affected at least by one STI. Future interventions should focus on the reduction of adverse early-life experiences, especially during adolescence, including the promotion of adolescent empowerment, promotion of condom use, and improvement of awareness of STIs.

Keywords

Adverse Childhood Experiences Adverse Adolescence Experiences Homeless Women STIs

Copyright © 2019, Author(s). This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/) which permits copy and redistribute the material just in noncommercial usages, provided the original work is properly cited.

1. Background

Sexually transmitted infections (STIs) are one of the most common infections in adults and a major global health concern (1). STIs can cause acute conditions such as cervicitis, urethritis, genital ulceration, pelvic inflammatory disease, chronic pelvic pain, ectopic pregnancy, infertility, neurological disorder, and cardiovascular diseases in adults, neonatal death, premature delivery, blindness, and severe disability in infants (2). Several risk factors and markers are associated with infections, including individual factors (3), social and institutional contexts, in particular unsafe sexual behavior, drug use, discrimination and social inequality (4, 5), poor access to healthcare services (6), and prevalence of infections in sexual networks (7, 8). All these factors strongly affect homeless women in Iran (9) and in other countries (5, 6, 10).

Homeless women are considered a hidden population of Iranian society since there are no accurate statistics regarding their population (11). There is little information on the prevalence rate, risk factors, and other aspects of STIs to guide specific preventive measures for homeless women (12).

2. Objectives

Given the significance of homeless women in the Iranian society and the lack of previous research, this study was conducted to examine the association between the risk of STIs and adverse experiences during childhood and adolescence among homeless women in Tehran.

3. Patients and Methods

3.1. Study Design and Participants

A descriptive-analytical cross-sectional study was carried out in 2014. The study recruited 241 Iranians homeless women aged 15 - 45 years using quota sampling from 12 drop-in centers and night shelters affiliated to the Welfare Organization in Tehran. More details about the study methodology are presented elsewhere (13). The sample size was calculated with a confidence level of 0.95, an estimated STI prevalence of 10% (14), and a d value of 0.04. The minimum required sample size was 216. However, to reduce the effects of measurement errors (related to blood sampling and testing), we recruited 245 women. Four patients were excluded due to problems with biological samples.

3.2. Data Collection

Data were collected using questionnaires and biological sample testing. The questionnaires were developed based on the findings of a qualitative study and a review of the literature (15). Demographic data included age, level of education, birth order, marital status, having children, and source of income. Adverse early-life experiences in the questionnaire included school leaving, history of sexual, physical, and psychological abuse, running away from home, childhood labor, regular smoking, drug use, alcohol use, imprisonment history and criminal records, immigration to Tehran, having tattoos, premarital sexual activity, marriage, divorce, Nikah mut‘ah (temporary marriage), having multiple sex partners, and having unprotected sexual relationships under 18 years of age.

The face and content validity were evaluated in both quantitative and qualitative methods. In order to assess the content validity quantitatively, the content validity index (CVI) and the content validity ratio (CVR) were calculated (16). The CVR and CVI of the questionnaire were 0.91 and 0.94, respectively. Test-retest and Kuder-Richardson correlation were used to determine the reliability of the questionnaire. Test-retest and the Kuder-Richardson correlation values were obtained as 0.81 and 0.70, respectively. The questionnaires were completed and a unique ID number was assigned to each participant. Based on ID numbers, we collected biological samples from participants in a private room for testing. Blood and urine samples were sent for serological testing to Avicenna Research Institute affiliated to the Academic Center for Education, Culture, and Research (ACECR), Tehran, Iran.

3.3. Serological Testing

3.3.1. Blood Collection

Under sterile conditions, 4 mL of venous blood was collected from each study participant. Blood samples were centrifuged using Eppendorf™ refrigerated centrifuge (manufactured in Germany). Sera were separated from samples and all samples were transferred to the laboratory for testing.

3.3.2. HIV

Samples were tested for HIV using the enzyme linked immunosorbent assay (ELISA) method and DS EIA HIV Ag/Ab Screen kit (manufactured in Italy), which had a 100% sensitivity and 99.6% specificity. ELISA tests were performed following the instructions of the manufacturer. All positive samples were retested using the Western blot test.

3.3.3. HSV-2

Samples were tested for HSV-2 using the ELISA method and Euro Immune kit (manufactured in Germany), which had a 95.7% sensitivity and 93.1% specificity. ELISA tests were performed in accordance with the instructions of the manufacturer.

3.3.4. Treponema pallidum (Bacterium Causing Syphilis)

Samples were tested for the detection of Treponema pallidum using rapid plasma reagin (RPR) test and Bionic kit (manufactured in Germany) with a sensitivity of 78% and specificity of 98%. Specimens with high agglutination, low agglutination, and no agglutination were considered positive, poor positive, and negative, respectively. Positive cases were evaluated by the confirmatory assay of fluorescent treponemal antibody-absorbed test and the results were interpreted.

3.3.5. Urine Collection

Self-collected first void urine (10 mL) in a sterile plastic container was taken from all participants. These specimens were transported to the laboratory without adding a transport medium and stored at 4°C, and then examined within a maximum period of seven days.

3.3.6. Chlamydia trachomatis and Neisseria gonorrhea

To detect Chlamydia trachomatis and Neisseria gonorrhea, polymerase chain reaction (PCR) was used. DNA was extracted using the Chelex®-extraction method. The detection and examination of PCR products were performed in UV light.

3.4. Ethical Consideration

Participants were provided with clear explanations about study purpose and background, the voluntariness of participation in and withdrawal from the study, and confidential management of the data. All of them provided their written informed consent. All aspects of this study were approved by the Ethics Committee of the Avicenna Research Institute (with the code of 93.1272). Each study participant was given a gift equal to $3. Participants had access to the results of serological testing at will.

3.5. Statistical Analysis

The data were analyzed using the Statistical Package for Social Sciences (SPSS) version 16.0 software (SPSS Inc., Chicago, IL., USA). Logistic regression was used to estimate the effect of adverse early-life experiences of homeless women on the prevalence of STIs with two dichotomous dependent variables. The results were presented as odds ratios, which estimate changes in the odds of the outcome variable for each unit change in the independent variable. For dichotomous independent variables, the odds ratios measured the effect of being in one category compared to the other. If the odds ratio was less than unity, it indicated a decrease in the odds of the outcome while odds ratios of greater than unity indicated an increase in the outcome. A significance level of less than 0.05 was required to interpret the results.

4. Results

The mean age of 241 homeless women was 32.3 ± 7.7 years and 41.2% of them were younger than 30. Most participants (70.96%) were not married and 55.2% of them had a low level of education. The demographics of the study participants are presented in Table 1.

Table 1. Demographics of Homeless Women Participated in the Study (N = 241)
DemographicsNo. (%)Min - MaxMean ± SD
Age, y15 - 4532.3 ± 7.7
< 2020 (8.3)
21 - 3080 (33.2)
31 - 40101 (41.9)
> 4040 (16.6)
Birth rank1 - 92.8 ± 1.9
168 (28.2)
263 (26.2)
3 ≤110 (45.6)
Education
Primary65 (27)
Secondary68 (28.2)
High school diploma96 (39.8)
academic degree12 (5)
Marital status
Divorced121 (50.23)
Single34 (14.1)
Widowed16 (6.63)
Married70 (29.04)
Having children
Yes174 (72.2)
No67 (27.8)
Source of income
Under family support74 (30.7)
Prostitution60 (24.9)
Beggary20 (8.3)
Manual labor16 (6.6)
Selling drugs13 (5.4)
Theft2 (0.8)
Etc.56 (23.2)
Total241 (100)

The prevalence rates of HIV/AIDS, HSV-2, syphilis, Chlamydia trachomatis, and Neisseria gonorrhea were 8.3%, 23.65%, 14.93%, 11.61%, and 6.63%, respectively. The prevalence of STIs in the study participants is shown in Table 2.

Table 2. Prevalence of STIs in the Study Participants
Laboratory Tests for Diagnosis of STIsNo. (%)95% Confidence IntervalSum
ELISA for HIV21 (8.71)5.15 - 12.27241 (100)
Western blot confirmatory test for HIV20 (8.29)4.80 - 11.77
ELISA for HSV-257 (23.65)18.28 - 29.01
RPR test for syphilis45 (18.6713.75 - 23.58
Fluorescent treponemal antibody-absorbed test for syphilis36 (14.93)10.43 - 19.43
PCR specific for Chlamydia trachomatis28 (11.61)7.56 - 15.65
PCR specific for Neisseria gonorrhea16 (6.63)3.48 - 9.77

All homeless women stated that they had at least two adverse experiences in their childhood and adolescence. Moreover, 239 (99.2%) women had three or more adverse experiences in their childhood and adolescence. Adverse experiences during adolescence in STIs-affected and STIs-unaffected women are presented in Table 3. In order to predict the risk of STIs in homeless women and to eliminate possible confounding variables, logistic regression models were designed. Sexual abuse, running away from home, drug use, alcohol use, imprisonment history and criminal records, premarital sexual activity, divorce, Nikah mut‘ah, having multiple sex partners, and having unprotected sexual relationships were risk factors for acquiring STIs in homeless women (P < 0.05). The results of logistic regression analysis, odds ratios (ORs), and 95% confidence intervals (CIs) are presented in Table 3.

Table 3. Logistic Regression for the Association Between Adverse Early-Life Experiences and STIs Among the Study Participants (N = 241)
High-Risk ExperiencesSTIs-UnaffectedSTIs-AffectedTotal Frequency (%)Odds Ratio (95% CI)P
Leaving school before 18 years of ageNS
Yes62 (25.7)71 (29.5)133 (55.2)
No85 (35.8)23 (9.5)108 (44.8)
History of sexual abuse*4.06 (1.21 - 13.6)0.02
Yes13 (5.4)40 (16.6)53 (22)
No134 (55.6)54 (22.4)188 (78)
History of physical abuseNS
Yes25 (10.4)76 (31.5)100 (41.5)
No122 (50.6)18 (7.5)141 (58.5)
History of psychological abuseNS
Yes36 (14.9)78 (32.4)114 (47.3)
No111 (46.1)16 (6.6)127 (52.7)
Running away from home4.64 (1.67 - 12.89)0.03
Yes22 (9.1)58 (24.1)80 (33.19)
No125 (51.9)36 (14.9)161 (66.81)
Childhood laborNS
Yes36 (14.9)56 (23.2)149 (61.8)
No111 (46.1)38 (15.8)92 (38.2)
Regular smokingNS
Yes136 (56.4)81 (33.6)217 (90)
No11 (4.6)13 (5.4)42 (10)
Regular drug use3.93 (1.13 - 13.58)0.03
Yes91 (37.8)67 (27.8)158 (65.6)
No56 (23.2)27 (11.2)80 (33.2)
Regular alcohol use4.12 (1.38 - 12.24)0.01
Yes30 (12.4)50 (20.7)80 (33.2)
No117 (48.5)44 (18.3)161 (66.8)
Imprisonment and criminal records2.72 (1.01 - 7.52)0.04
Yes53 (22)51 (21.2)104 (43.2)
No94 (39)43 (17.8)137 (56.8)
Immigration to TehranNS
Yes78 (32.4)63 (26.1)141 (58.5)
No68 (28.2)34 (14.1)100 (42.3)
Having tattoosNS
Yes68 (28.2)34 (14.1)102 (42.3)
No79 (32.8)60 (24.9)139 (57.7)
Premarital sexual activity (any kind of sexual activity)4.71 (1.06 - 13.84)0.05
Yes33 (13.7)56 (23.2)89 (36.9)
No114 (47.3)38 (15.8)152 (63.1)
Marriage under 18 years of ageNS
Yes77 (32)76 (31.5)153 (63.5)
No70 (29)18 (7.5)88 (36.5)
Divorce3.47 (1.06 - 11.32)0.03
Yes28 (11.6)34 (14.1)62 (25.7)
No119 (49.4)60 (24.9)179 (74.3)
Nikah mut ‘ah4.33 (1.39 - 13.49)0.01
Yes28 (11.6)33 (13.7)61 (25.3)
No119 (49.4)61 (25.3)180 (74.7)
Having multiple sex partners5.2 (1.81 – 14.96)0.02
Yes44 (18.3)62 (25.7)106 (44)
No103 (42.7)32 (13.3)135 (56)
Having unprotected sexual relationships3.69 (1.00 - 13.62)0.05
Yes15 (6.2)36 (14.9)51 (21.2)
No132 (54.8)58 (24.1)190 (78.8)

Abdication: NS, non-significant.

The mean age at the onset of substance use and sexual activity for homeless women was 17.02 ± 3.3 and 15.2 ± 3.8, respectively. The results of logistic regression analysis, ORs, and 95% CIs are presented in Table 4.

Table 4. Logistic Regression for the Association Between STIs and Age at the Onset of Substance Use and Sexual Activity in the Study Participants
VariableSTIs (Mean ± SD)Odds Ratio (95%CI)P Value
YesNo
Age at the onset of substance use (years)14.88 ± 2.718.68 ± 2.70.62 (0.503 - 0.779)< 0.001
Age at the onset of sexual activity (years)12.65 ± 3.7416.55 ± 3.090.77 (0.676 - 0.898)0.001

Based on the result shown in Table 4, with each one-year delay in the onset of substance use and sexual activity, the chance of acquiring STIs decreases by 38% and 23%, respectively.

5. Discussion

This is the first study to evaluate the effects of adverse early-life experiences on STIs among homeless women in Tehran, Iran. The results of the study showed that homeless women had high rates of adverse early-life experiences. The prevalence of HIV/STIs was high compared to the general population (17, 18), possibly due to adverse early-life experiences.

In this study, over one-fifth (22%) of homeless women reported a history of childhood sexual abuse and this was a strong predictor of acquiring STIs. According to Sweet and Welles study, women who were sexually abused, sometimes or frequently, had significantly higher risks of HIV/STI acquisition (1.5 - 4.2 times) than those who were not abused (19). Childhood sexual abuse was associated with higher rates of risky sexual behaviors such as sexual intercourse in exchange for illicit drugs (cocaine, heroin), arrests due to prostitution, and sexual intercourse with a casual sex partner in adolescence, which exposed them to STIs (20, 21).

In our study, homeless women who had run away from home were 4.62 times more likely to become infected with STIs. In Keuroghlian study, runaway increased 3.3 times the risk of HIV infection compared to non-runaway (22). Running away from home puts adolescents at the risk of high-risk behaviors (23), including substance abuse (24), delinquency and problematic behaviors (25), unprotected vaginal or anal sex (22), violence, crime, prostitution, and other health problems (25, 26), which put them at risk of STIs (23).

In this study, homeless women with drug and alcohol use during their adolescence were 3.93 and 4.12 times more likely to become infected with STIs. Besides, based on these results, the early onset of drug use increases the risk of STIs. In line with this study, previous studies showed drug use and alcohol use were prerequisites for high-risk behaviors (27), including injecting drug use and needle sharing (28), unplanned sex with new partners (29), sex with multiple partners (30), condomless sex (31), and trading sex for drugs or money (32), which exposed the person to the risk of STIs (27).

Our results revealed homeless women who had imprisonment and criminal records during adolescence were 2.72 times more likely to become infected with STIs. In Khan et al. study, those who were incarcerated had an approximately 30% increased risk of current STIs (33). Prisons are known as high-risk environments for the prevalence and spread of HIV/STIs due to a high level of risky behavior in prisons (20, 33). Although those serving a sentence may have been infected prior to entering prison, undoubtedly, there exists a risk for them to get infected in prison through unsafe sexual activity (including sexual intercourse between persons of the same sex), rape, unsafe tattooing, blood exchange rituals, and exchange of injection equipment and other sharp instruments.

In this study, the mean age at the onset of sexual activity in homeless women was 15.2 ± 3.8 and over one-third of them stated that they had premarital sex. Furthermore, premarital sexual activity was a strong predictor of being positive for at least one STI among the participants. Also, the early onset of sexual activity increased the risk of STIs. This finding is in line with previous studies from Tanzania and other sub-Saharan African countries (21, 34), which found a positive association between premarital sexual activity and HIV prevalence. Age at the first sex is an important risk factor for HIV. People who begin their sexual activity at a young age are more likely to have higher STI rates, drug and alcohol use, multiple sexual partners, and unprotected sex (21, 22).

Our study found that one-fourth of homeless women experienced divorce during adolescence and this issue increased the risk of acquiring STIs by over 3 times among them. In a study by El-Moselhy et al., divorce was one of the most important gynecological and reproductive risk factors for acquiring HIV (OR = 4.06) (25). Studies showed divorce is directly associated with high-risk sexual behaviors including prostitution, having multiple sexual partners, lack of condom use (35), extramarital sex (36), and the chance of acquiring HIV (37).

In the present study, almost one-fourth of homeless women engaged in Nikah mut‘ah during adolescence. Homeless women with Nikah mut‘ah experience were over 4 times more likely to become infected with STIs. Accordingly, the HIV prevalence was the highest among persons who engaged in temporary marriage or cohabitation in a polygamous relationship (37, 38). In this regard, Dibua stated that traditional sexual behaviors (concubinage, pre- and -extramarital sex) promoted practices and HIV/AIDS risk behaviors such as prostitution or sex work, namely multiple sex partnering (38).

Almost half of the homeless women in our study had multiple sex partners during adolescence. Having multiple sex partners was the strongest predictor of STI positivity among homeless women. Over one-fifth of participants reported unprotected sexual relationships during adolescence, which increased their risk of acquiring STIs by more than 3 times. Studies showed having unprotected sex with multiple sexual partners was the greatest risk factor for STIs and HIV infection among women (24). Women with multiple sex partners were less likely to use a condom and were at a greater risk of acquiring STIs (24, 36-39).

5.1. Conclusions

In our study, most participants had high rates of adverse early life experiences and 41.49% of homeless women were affected by at least one STI. The increased rate of STIs has, therefore, been inextricably linked to adverse early-life experiences (mainly multiple sex partners). These findings can be used to guide future preventive strategies for HIV and other STIs targeting adverse early-life experiences. Prevention programs should address factors leading to high-risk experiences including the promotion of adolescents’ empowerment, recommending condom use, and improvement of awareness about STIs and HIV.

Our study had some limitations. Homeless women are highly stigmatized in the culture of Iran and are hard-to-reach for research purposes. Most of these women were initially reluctant to cooperate with the research team because of the sensitivity of the subject. Therefore, the researcher was present at the centers for a long time and held training and consulting classes to treat them. The long-term interaction between the researcher and these women convinced them to participate in the study. The cross-sectional nature of this study means that the established associations do not necessarily indicate causality. The most important limitation of this study was recall and self-reporting.

Acknowledgements

Footnotes

References

  • 1.

    Ginindza TG, Stefan CD, Tsoka-Gwegweni JM, Dlamini X, Jolly PE, Weiderpass E, et al. Prevalence and risk factors associated with sexually transmitted infections (STIs) among women of reproductive age in Swaziland. Infect Agent Cancer. 2017;12:29. doi: 10.1186/s13027-017-0140-y. [PubMed: 28559923]. [PubMed Central: PMC5445272].

  • 2.

    Global Burden of Disease Study C. Global, regional, and national incidence, prevalence, and years lived with disability for 301 acute and chronic diseases and injuries in 188 countries, 1990-2013: a systematic analysis for the Global Burden of Disease Study 2013. Lancet. 2015;386(9995):743-800. doi: 10.1016/S0140-6736(15)60692-4. [PubMed: 26063472]. [PubMed Central: PMC4561509].

  • 3.

    Williams SP, Bryant KL. Sexually transmitted infection prevalence among homeless adults in the United States: A systematic literature review. Sex Transm Dis. 2018;45(7):494-504. doi: 10.1097/OLQ.0000000000000780. [PubMed: 29465661]. [PubMed Central: PMC6367672].

  • 4.

    Chesson HW, Sternberg M, Leichliter JS, Aral SO. The distribution of Chlamydia gonorrhoea and syphilis cases across states and counties in the USA, 2007. Sex Transm Infect. 2010;86 Suppl 3:iii52-7. doi: 10.1136/sti.2009.040873. [PubMed: 21098057].

  • 5.

    German D, Latkin CA. Social stability and HIV risk behavior: evaluating the role of accumulated vulnerability. AIDS Behav. 2012;16(1):168-78. doi: 10.1007/s10461-011-9882-5. [PubMed: 21259043]. [PubMed Central: PMC3163043].

  • 6.

    Grangeiro A, Holcman MM, Onaga ET, Alencar HD, Placco AL, Teixeira PR. [Prevalence and vulnerability of homeless people to HIV infection in Sao Paulo, Brazil]. Rev Saude Publica. 2012;46(4):674-84. Portuguese. doi: 10.1590/s0034-89102012005000037. [PubMed: 22715004].

  • 7.

    Gesink DC, Sullivan AB, Miller WC, Bernstein KT. Sexually transmitted disease core theory: roles of person, place, and time. Am J Epidemiol. 2011;174(1):81-9. doi: 10.1093/aje/kwr035. [PubMed: 21540320]. [PubMed Central: PMC3159428].

  • 8.

    Katz KA, Pillay A, Ahrens K, Kohn RP, Hermanstyne K, Bernstein KT, et al. Molecular epidemiology of syphilis--San Francisco, 2004-2007. Sex Transm Dis. 2010;37(10):660-3. doi: 10.1097/OLQ.0b013e3181e1a77a. [PubMed: 20601928].

  • 9.

    Bagheri Amiri F, Sedaghat A, Mostafavi E. Gender differences among homeless people in Tehran, Iran. J Pub Health. 2014;22(5):461-5. doi: 10.1007/s10389-014-0633-8.

  • 10.

    Fitzpatrick-Lewis D, Ganann R, Krishnaratne S, Ciliska D, Kouyoumdjian F, Hwang SW. Effectiveness of interventions to improve the health and housing status of homeless people: a rapid systematic review. BMC Public Health. 2011;11:638. doi: 10.1186/1471-2458-11-638. [PubMed: 21831318]. [PubMed Central: PMC3171371].

  • 11.

    United Nations Programme on HIV/AIDS. UNAIDS report on the global AIDS epidemic 2013. UNAIDS; 2013. Available from: https://www.unaids.org/sites/default/files/media_asset/UNAIDS_Global_Report_2013_en_1.pdf.

  • 12.

    Nasirian M, Kianersi S, Hoseini SG, Kassaian N, Yaran M, Shoaei P, et al. Prevalence of sexually transmitted infections and their risk factors among female sex workers in Isfahan, Iran: A cross-sectional study. J Int Assoc Provid AIDS Care. 2017;16(6):608-14. doi: 10.1177/2325957417732836. [PubMed: 29017374].

  • 13.

    Rahmani A, Allahqoli L, Fallahi A, Higgs P. The prevalence of human immunodeficiency virus infection and the perceptions of sexually transmitted infections among homeless women. Nurs Midwifery Stud. 2018;7(4):186-91. doi: 10.4103/nms.nms_79_17.

  • 14.

    Nouruzi K, Amiri Majd M. Relationship of high risk behaviors and negative life events with mental health of female students in high schools. Iran J Public Health. 2016;45(6):833-4. [PubMed: 27648434]. [PubMed Central: PMC5026846].

  • 15.

    Allahqoli L, Abeed Saeedi Z, Azin A, Hajaan S, Alavi Majd H, Molavi N. Socially damaged women’s perception of sexually transmitted infections: A qualitative study. Life Sci J. 2017;14(10):94-100. doi: 10.7537/marslsj141017.14.

  • 16.

    Waltz CF, Bausell RB. Nursing research: design, statistics, and computer analysis. Philadelphia: Fa Davis Co; 1983.

  • 17.

    Janghorban R, Azarkish F. An overview on sexually transmitted infections in Iran. Int J Rep Contracept Obst Gyn. 2016;5(3):585-95. doi: 10.18203/2320-1770.ijrcog20160557.

  • 18.

    Rahimzadeh S, Naderimagham S, Rohani-Rasaf M, Mehdipour P, Lotfizadeh M, Niakan Kalhori SR, et al. Burden of sexually transmitted infections in Iran from 1990 to 2010: Results from the global burden of disease study 2010. Arch Iran Med. 2016;19(11):768-73. [PubMed: 27845545].

  • 19.

    Sweet T, Welles SL. Associations of sexual identity or same-sex behaviors with history of childhood sexual abuse and HIV/STI risk in the United States. J Acquir Immune Defic Syndr. 2012;59(4):400-8. doi: 10.1097/QAI.0b013e3182400e75. [PubMed: 22083072].

  • 20.

    Ravlija J, Vasilj I, Marijanovic I, Vasilj M. Risk behaviour of prison inmates in relation to HIV/STI. Psychiatr Danub. 2014;26 Suppl 2:395-401. [PubMed: 25433321].

  • 21.

    Ghebremichael MS, Finkelman MD. The effect of premarital sex on sexually transmitted infections (STIs) and high risk behaviors in women. J AIDS HIV Res. 2013;5(2):59-64. [PubMed: 23626920]. [PubMed Central: PMC3634578].

  • 22.

    Manning WD, Longmore MA, Giordano PC. The relationship context of contraceptive use at first intercourse. Fam Plann Perspect. 2000;32(3):104-10. [PubMed: 10894255].

  • 23.

    Aghajani M, Safa A, Helli E, Alizade M. High-Risk behaviors and their relationship with demographic characteristic in girl and boy adolescents. J Res Health. 2016;6(5):471-8. doi: 10.18869/acadpub.jrh.6.5.471.

  • 24.

    Wilson Chialepeh N, Sathiyasusuman A. Associated risk factors of STIs and multiple sexual relationships among youths in Malawi. PLoS One. 2015;10(8). e0134286. doi: 10.1371/journal.pone.0134286. [PubMed: 26248328]. [PubMed Central: PMC4527764].

  • 25.

    El-Moselhy EA, Khalifa HO, Abd-Allah KM, Hassan FA, Atallah RB, Hassan HM, et al. Risk factors and impacts of sexually transmitted diseases among adult females in Cairo. Egypt J Hosp Med. 2005;20(1):112-30. doi: 10.12816/ejhm.2005.18099.

  • 26.

    Edinburgh L, Pape-Blabolil J, Harpin SB, Saewyc E. Assessing exploitation experiences of girls and boys seen at a Child Advocacy Center. Child Abuse Negl. 2015;46:47-59. doi: 10.1016/j.chiabu.2015.04.016. [PubMed: 25982287]. [PubMed Central: PMC4760762].

  • 27.

    El-Ghitany EM, Abdel Wahab MM, Abd El-Wahab EW, Hassouna S, Farghaly AG. A comprehensive hepatitis C virus risk factors meta-analysis (1989-2013): do they differ in Egypt? Liver Int. 2015;35(2):489-501. doi: 10.1111/liv.12617. [PubMed: 24923487].

  • 28.

    Scott-Sheldon LA, Carey MP, Vanable PA, Senn TE, Coury-Doniger P, Urban MA. Alcohol consumption, drug use, and condom use among STD clinic patients. J Stud Alcohol Drugs. 2009;70(5):762-70. doi: 10.15288/jsad.2009.70.762. [PubMed: 19737501]. [PubMed Central: PMC2741554].

  • 29.

    Simbayi LC, Mwaba K, Kalichman SC. Perceptions of the combination of HIV/AIDS and alcohol as a risk factor among STI clinic attenders in South Africa: Implications for HIV prevention. Soc Behav Personal. 2006;34(5):535-44. doi: 10.2224/sbp.2006.34.5.535.

  • 30.

    Carey KB, Senn TE, Walsh JL, Scott-Sheldon LA, Carey MP. Alcohol use predicts number of sexual partners for female but not male STI clinic patients. AIDS Behav. 2016;20 Suppl 1:S52-9. doi: 10.1007/s10461-015-1177-9. [PubMed: 26310596]. [PubMed Central: PMC4715538].

  • 31.

    Ritchwood TD, Ford H, DeCoster J, Sutton M, Lochman JE. Risky sexual behavior and substance use among adolescents: A meta-analysis. Child Youth Serv Rev. 2015;52:74-88. doi: 10.1016/j.childyouth.2015.03.005. [PubMed: 25825550]. [PubMed Central: PMC4375751].

  • 32.

    Rash CJ, Burki M, Montezuma-Rusca JM, Petry NM. A retrospective and prospective analysis of trading sex for drugs or money in women substance abuse treatment patients. Drug Alcohol Depend. 2016;162:182-9. doi: 10.1016/j.drugalcdep.2016.03.006. [PubMed: 27020748]. [PubMed Central: PMC4833529].

  • 33.

    Khan MR, Epperson MW, Mateu-Gelabert P, Bolyard M, Sandoval M, Friedman SR. Incarceration, sex with an STI- or HIV-infected partner, and infection with an STI or HIV in Bushwick, Brooklyn, NY: a social network perspective. Am J Public Health. 2011;101(6):1110-7. doi: 10.2105/AJPH.2009.184721. [PubMed: 21233443]. [PubMed Central: PMC3093283].

  • 34.

    Bongaarts J. Late marriage and the HIV epidemic in sub-Saharan Africa. Popul Stud (Camb). 2007;61(1):73-83. doi: 10.1080/00324720601048343. [PubMed: 17365874].

  • 35.

    Pan X, Zhu Y, Wang Q, Zheng H, Chen X, Su J, et al. Prevalence of HIV, syphilis, HCV and their high risk behaviors among migrant workers in eastern China. PLoS One. 2013;8(2). e57258. doi: 10.1371/journal.pone.0057258. [PubMed: 23451193]. [PubMed Central: PMC3579873].

  • 36.

    Zhou C, Rou K, Dong WM, Wang Y, Dong W, Zhou Y, et al. High prevalence of HIV and syphilis and associated factors among low-fee female sex workers in mainland China: a cross-sectional study. BMC Infect Dis. 2014;14:225. doi: 10.1186/1471-2334-14-225. [PubMed: 24767104]. [PubMed Central: PMC4026051].

  • 37.

    Kimanga DO, Ogola S, Umuro M, Ng'ang'a A, Kimondo L, Murithi P, et al. Prevalence and incidence of HIV infection, trends, and risk factors among persons aged 15-64 years in Kenya: results from a nationally representative study. J Acquir Immune Defic Syndr. 2014;66 Suppl 1:S13-26. doi: 10.1097/QAI.0000000000000124. [PubMed: 24445338]. [PubMed Central: PMC4794992].

  • 38.

    Dibua U. Socio-economic and socio-cultural predisposing risk factors to HIV/AIDS: Case study of some locations in Eastern Nigeria. Internet J Trop Med. 2010;6(2). doi: 10.5580/17b3.

  • 39.

    Zhao Y, Luo T, Tucker JD, Wong WC. Risk factors of HIV and other sexually transmitted infections in China: A systematic review of reviews. PLoS One. 2015;10(10). e0140426. doi: 10.1371/journal.pone.0140426. [PubMed: 26468650]. [PubMed Central: PMC4607362].

  • COMMENTS

    LEAVE A COMMENT HERE: