A Cross-Sectional Study on Selected Correlates of High risk Sexual Behavior in Polish Migrants Resident in the United Kingdom
Abstract
:1. Introduction
2. Objectives
3. Materials and Methods
3.1. Population and Sampling
3.2. Study Instrument
- socio-demographic: age; gender; education level (“primary school”, “high school”, “college”, “university”, “post-graduate”; for analysis, these options were dichotomized into “university and above level”, and “below university level”); marital status (“single”, “married”, “cohabitation”, “divorced”, “widowed”; for analysis, these options were dichotomized into “single” i.e., single/divorced/widowed and “non-single”, i.e., married/cohabitation); religion (“catholic”, “other religion”, “atheist”; for analysis, these options were dichotomized into “religious”, i.e., catholic/other religion and atheist); sexual orientation (“heterosexual”, “homosexual”, “bisexual”, “asexual”; for analysis, these options were dichotomized into “men who have sex with men (MSM)” and “other sexual orientation”); professional situation (“employed part-time”, “employed full-time”, “student”, “unemployed” and “retired”; for analysis, these options were dichotomized into “non-employed”, i.e., student/unemployed/ retired and “employed”, i.e., employed part-time/employed full-time); length of stay in the UK (in years: “≤2 years”, “3–5 years”, “6–8 years”, “≥8 years”; for analysis, these options were dichotomized into ≤2 years/>2 years); and place of residence in Poland (“town”, “village”);
- risky sexual behavior in Poland in the past 12 months during the before-migration period and in the UK in the past 12 months (any unprotected sexual contact: with a casual partner; after the use of alcohol, i.e., having sex while feeling drunk; after the use of recreational drugs; or having multiple sexual partners).
- determinants of risky sexual behaviors:personal: self-esteem measured by the Rosenberg self-esteem scale (RSES) [21].environmental/cultural: a. life satisfaction measured by the Berry’s MIRIPS Questionnaire [22], b. the history of sexual education at school (“yes”, “no”).
- HIV testing; participants were asked to answer the following question: Have you ever been tested for HIV: in Poland/in the UK? (“yes”, “no”).
- A previously diagnosed HIV infection; participants were asked to answer the following question: Have you had an HIV infection diagnosed by a medical professional? (“yes”, “no”).
3.3. Statistical Analysis
- unprotected sexual contact with a casual partner,
- sexual contact after the use of alcohol or recreational drugs,
- having multiple sexual partners.in the context of:
- the pre- and post- migration comparison (a McNemar’s test was utilized for assessing any significant differences between two correlated proportions, based on the same sample of subjects, i.e., risky sexual behavior in Poland and in the UK).
- variables influencing these outcomes while in the UK.
4. Results
4.1. Demographics
4.2. Self-Esteem, Life Satisfaction, Sexual Education
4.3. Risky Sexual Behaviours in Poland and in the UK
4.4. HIV Testing in Poland and in the UK
4.5. Variables Influencing Risky Sexual Behaviours While in the UK
5. Discussion
5.1. Results Overview
5.2. High Risk Sexual Behaviors before and after Migration
5.3. Correlates of High Risk Sexual Behaviors after Migration
5.4. HIV among Polish Migrants in the UK
6. Limitations
7. Conclusions
Implications for Intervention
Acknowledgments
Author Contributions
Conflicts of Interest
References
- Burrell, K. Polish Migration to the UK in the ‘New’ European Union: After 2004; Ashgate Publishing Limited: Surrey, UK, 2009. [Google Scholar]
- Office for National Statistics. Population by Country of Birth and Nationality Report. August 2013. Available online: http://www.ons.gov.uk/ons/dcp171776324663.pdf (accessed on 27 August 2015).
- Okólski, M.; Salt, J. Polish Emigration to the UK after 2004; Why Did So Many Come? Cent. East. Eur. Migr. Rev. 2014, 3, 11–37. [Google Scholar]
- Berry, J.W. Acculturation: Living successfully in two cultures. Int. J. Intercult. Relat. 2005, 29, 697–712. [Google Scholar] [CrossRef]
- Berry, J.W. Immigration, acculturation, and adaptation. J. Appl. Psychol. 1997, 46, 5–34. [Google Scholar] [CrossRef]
- European Centre for Disease Prevention and Control. Migrant Health: Background Note to the “ECDC Report on Migration and Infectious Diseases in the EU”; Technical Report; European Centre for Disease Prevention and Control: Stockholm, Sweden, 2009. [Google Scholar]
- Burns, F.M.; Evans, A.R.; Mercer, C.H.; Parutis, V.; Gerry, C.J.; Mole, R.C.; French, R.S.; Imrie, J.; Hart, G.J. Sexual and HIV risk behaviour in central and eastern European migrants in London. Sex. Transm. Infect. 2011, 87, 318–324. [Google Scholar] [CrossRef] [PubMed]
- Dias, S.; Marquez, A.; Gama, A.; Martins, M.O. HIV Risky Sexual Behaviours and HIV Infection among Immigrants: A Cross-Sectional Study in Lisbon, Portugal. Int. J. Environ. Res. Public Health 2014, 11, 8552–8566. [Google Scholar] [CrossRef] [PubMed]
- Gras, M.; van Benthem, B. Determinants of high-risk sexual behaviour among immigrant groups in Amsterdam: Implications for interventions. J. Acquir. Immune Defic. Syndr. 2001, 28, 166–172. [Google Scholar] [CrossRef] [PubMed]
- Lurie, M.N.; Williams, B.G.; Zuma, K.; Mkaya-Mwamburi, D.; Garnett, G.; Sturm, A.W.; Sweat, M.D.; Gittelsohn, J.; Abdool Karim, S.S. The impact of migration on HIV-1 transmission in South Africa: A study of migrant and non-migrant men and their partners. Sex. Transm. Dis. 2003, 30, 149–156. [Google Scholar] [CrossRef] [PubMed]
- Saggurti, N.; Verma, R.K.; Jain, A.; RamaRao, S.; Kumar, K.A.; Subbiah, A.; Modugu, H.R.; Halli, S.; Bharat, S. HIV risk behaviours among contracted and non-contracted male migrant workers in India: Potential role of labour contractors and contractual systems in HIV prevention. AIDS 2008, 22, S127–S136. [Google Scholar] [CrossRef] [PubMed]
- Sanchez, M.A.; Hernández, M.T.; Hanson, J.E.; Vera, A.; Magis-Rodríguez, C.; Ruiz, J.D.; Garza, A.H.; Castañeda, X.; Aoki, B.K.; Lemp, G.F. The effect of migration on HIV high-risk behaviours among Mexican migrants. J. Acquir. Immune Defic. Syndr. 2012, 61, 610–617. [Google Scholar] [CrossRef] [PubMed]
- Sastre, F.; Sanchez, M.; De La Rosa, M. Changes in pre- to post-immigration HIV risk behaviours among recent Latino immigrants. AIDS Educ. Prev. 2015, 27, 44–57. [Google Scholar] [CrossRef] [PubMed]
- Du, H.; Li, X. Acculturation and HIV-related sexual behaviours among international migrants: A systematic review and meta-analysis. Health Psychol. Rev. 2015, 9, 103–122. [Google Scholar] [CrossRef] [PubMed]
- Elam, G. Risky sexual behaviour in context: Qualitative results from an investigation into risk factors for sero-conversion among gay men who test for HIV. Sex. Transm. Infect. 2008, 84, 473–477. [Google Scholar] [CrossRef] [PubMed]
- Aksel, S.; Gün, Z.; Irmak, T.Y.; Çengelci, B. Migration and psychological status of adolescents in Turkey. Adolescence 2007, 42, 589–602. [Google Scholar] [PubMed]
- Public Health England. Sexually Transmitted Infections and Chlamydia Screening in England, 2013; Health Protection Report; Public Health England: London, UK, 2014; Volume 8, pp. 1–27.
- Evans, A.R.; Parutis, V.; Hart, G.; Mercer, C.H.; Gerry, C.; Mole, R.; French, R.S.; Imrie, J.; Burns, F. The sexual attitudes and lifestyles of London’s Eastern Europeans (SALLEE Project): Design and methods. BMC Public Health 2009, 9, 399. [Google Scholar] [CrossRef] [PubMed]
- Sowa, P.; Pędziński, B.; Krzyżak, M.; Maślach, D.; Wójcik, S.; Szpak, A.S. The Computer-Assisted Web Interview Method as Used in the National Study of ICT Use in Primary Healthcare in Poland—Reflections on a Case Study. SLGR 2016, 43, 137–146. [Google Scholar] [CrossRef]
- Rosenberg, M. Society and the Adolescent Self-Image; Princeton University Press: Princeton, NJ, USA, 1965. [Google Scholar]
- Mutual Intercultural Relations in Plural Societies (MIRIPS). Available online: http://www.victoria.ac.nz/cacr/research/mirips/mirips-questionnaires-and-presentations (accessed on 3 January 2017).
- R Development, Core, Team. R: A Language and Environment for Statistical Computing; R Foundation for Statistical Computing: Vienna, Austria, 2008. [Google Scholar]
- Evans, A.R.; Mercer, C.H.; Parutis, V.; Hart, G.J.; Mole, R.; Gerry, C.J.; Burns, F.M. Factors associated with genitourinary medicine clinic attendance and sexually transmitted infection diagnosis among central and east European migrants in London. Sex. Trans. Infect. 2011, 87, 331–336. [Google Scholar] [CrossRef] [PubMed]
- Niedźwiedzka-Stadnik, M.; Pielacha, M.; Rosińska, M. HIV and AIDS in Poland in 2014. Przegl. Epidemiol. 2016, 70, 249–259. [Google Scholar] [PubMed]
- Sonnenberg, P.; Clifton, S.; Beddows, S.; Field, N.; Soldan, K.; Tanton, C.; Mercer, C.H.; da Silva, F.C.; Alexander, S.; Copas, A.J.; et al. Prevalence, risk factors, and uptake of interventions for sexually transmitted infections in Britain: Findings from the National Surveys of Sexual Attitudes and Lifestyles (Natsal). Lancet 2013, 382, 1795–1806. [Google Scholar] [CrossRef]
- Wellings, K.; Johnson, A.M. Framing sexual health research: Adopting a broader perspective. Lancet 2013, 382, 1759–1762. [Google Scholar] [CrossRef]
- Gransow, B.; Daming, Z. Migrants and Health in Urban China; LIT Verlag: Munster, Germany, 2010. [Google Scholar]
- Schwartz, S.J.; Unger, J.B.; Des, S.E.; Lorenzo-Blanco, E.I.; Zamboanga, B.L.; Huang, S.; Baezconde-Garbanati, L.; Villamar, J.A.; Soto, D.W.; Pattarroyo, M.; et al. Domains of Acculturation and Their Effects on Substance Use and Sexual Behaviour in Recent Hispanic Immigrant Adolescents. Prev. Sci. 2014, 15, 385–396. [Google Scholar] [CrossRef] [PubMed]
- Wells, B.E.; Kelly, B.C.; Rendina, H.J.; Parsons, J.T. Prescription Drug Misuse and Sexual Behaviour among Young Adults. J. Sex. Res. 2015, 8, 1–10. [Google Scholar]
- Baliunas, D.; Rehm, J.; Irving, H.; Shuper, P. Alcohol consumption and risk of incident human immunodeficiency virus infection: A meta-analysis. Int. J. Public Health 2010, 55, 159–166. [Google Scholar] [CrossRef] [PubMed]
- Bellis, M.A.; Hughes, K.; Calafat, A.; Juan, M.; Ramon, A.; Rodriguez, J.A.; Mendes, F.; Schnitzer, S.; Phillips-Howard, P. Sexual uses of alcohol and drugs and the associated health risks: A cross sectional study of young people in nine European cities. BMC Public Health 2008, 8, 155. [Google Scholar] [CrossRef] [PubMed]
- Boys, A.; Marsden, J.; Strang, J. Understanding reasons for drug use amongst young people: A functional perspective. Health Educ. Res. 2001, 16, 457–469. [Google Scholar] [CrossRef] [PubMed]
- Schwartz, S.J.; Weisskirch, R.S.; Zamboanga, B.L.; Castillo, L.G.; Ham, L.S.; Huynh, Q.L.; Park, I.J.; Donovan, R.; Kim, S.Y.; Vernon, M.; et al. Dimensions of acculturation: Associations with health risk behaviors among college students from immigrant families. J. Couns. Psychol. 2011, 58, 27–41. [Google Scholar] [CrossRef] [PubMed]
- Hahm, H.C.; Lahiff, M.; Barreto, R.M. Asian American adolescents’ first sexual intercourse: Gender and acculturation differences. Perspect. Sex. Reprod. Health 2006, 38, 28–36. [Google Scholar] [CrossRef] [PubMed]
- Izdebski, Z. Sexuality of Poles in the Beginning of 21st Century; Research Study; Wydawnictwo Uniwersytetu Jagiellonskiego: Krakow, Poland, 2012. [Google Scholar]
- Llácer, A.; Zunzunegui, M.V.; del Amo, J.; Mazarrasa, L.; Bolumar, F. The contribution of a gender perspective to the understanding of migrants’ health. J. Epidemiol. Community Health 2007, 61, ii4–ii10. [Google Scholar] [CrossRef] [PubMed]
- Bamidele, J.O.; Asekun-Olarinmoye, E.O.; Odu, O.O.; Amusan, O.A.; Egbewale, B.E. Socio-demographic characteristics and health risk behaviours among students of a tertiary institution in south western Nigeria. Afr. J. Med. Med. Sci. 2007, 36, 129–136. [Google Scholar] [PubMed]
- Graves, K.L.; Leigh, B.C. The Relationship of Substance Use to Sexual Activity among Young Adults in the United States. Int. Fam. Plan. Perspect. 1995, 27, 18–22. [Google Scholar] [CrossRef]
- Panchanadeswaran, S.; Dawson, B.A. How discrimination and stress affects self-esteem among Dominican immigrant women: An exploratory study. Soc. Work Public Health 2011, 26, 60–77. [Google Scholar] [CrossRef] [PubMed]
- Greene, M.L.; Way, N.; Pahl, K. Trajectories of perceived adult and peer discrimination among Black, Latino, and Asian American Adolescents: Patterns and psychological correlates. Dev. Psychol. 2006, 42, 218–238. [Google Scholar] [CrossRef] [PubMed]
- Wilmoth, D.R. Intelligence and past use of recreational drugs. Intelligence 2012, 40, 15–22. [Google Scholar] [CrossRef]
- Wadsworth, E.J.; Moss, S.C.; Simpson, S.A.; Smith, A.P. Factors associated with recreational drug use. J. Psychopharmacol. 2004, 18, 238–248. [Google Scholar] [CrossRef] [PubMed]
- Evans, A.R.; Hart, G.J.; Mole, R.; Mercer, C.H.; Parutis, V.; Gerry, C.J.; Imrie, J.; Burns, F.M. Central and east European migrant men who have sex with men: An exploration of sexual risk in the U.K. Sex. Transm. Infect. 2011, 87, 325–330. [Google Scholar] [CrossRef] [PubMed]
- McGarrigle, C.A.; Mercer, C.; Fenton, K.A.; Copas, A.J.; Wellings, K.; Erens, B.; Johnson, A.M. Investigating the relationship between HIV testing and risk behaviour in Britain: Analysis of the National Survey of Sexual Attitudes and Lifestyles 2000. AIDS 2005, 19, 77–84. [Google Scholar] [CrossRef] [PubMed]
Variables | No of Participants | % |
---|---|---|
Age, years (Me) | 32 (19–57) | |
Gender | ||
Men | 176 | 43.1 |
Women | 232 | 56.9 |
Place of residence in Poland | ||
Town >500,000 inhabitants | 52 | 12.7 |
Town 50–500,000 inhabitants | 304 | 74.5 |
Rural area | 52 | 12.7 |
Educational level | ||
Primary school | 3 | 0.7 |
High school | 125 | 30.6 |
College | 106 | 26 |
University | 133 | 32.6 |
Post-graduates | 39 | 9.6 |
No data | 2 | 0.5 |
Marital status | ||
Single | 115 | 28.2 |
Married | 144 | 35.2 |
Divorced | 22 | 5.4 |
Widow/er | 2 | 0.5 |
Informal relationship | 117 | 28.7 |
Separated | 5 | 1.2 |
Other | 3 | 0.7 |
Sexual orientation | ||
Heterosexual | 363 | 89.0 |
Homosexual | 15 | 3.7 |
Bisexual | 27 | 6.6 |
Asexual | 3 | 0.7 |
Religious status | ||
Catholic | 321 | 78.7 |
Atheist | 87 | 23.1 |
Time spent in UK | ||
0–2 years | 71 | 17.4 |
3–5 years | 122 | 29.9 |
6–8 years | 164 | 40.2 |
>8 years | 51 | 12.5 |
Knowledge of own HIV status | 174 | |
Yes | 234 | 42.6 |
No | 57.4 | |
Sexual education at school on regular basis | ||
Yes | 217 | 53.2 |
No | 191 | 48.8 |
Variables | Poland n (%) | UK n (%) | p ** | ||||
---|---|---|---|---|---|---|---|
Total | Total | ||||||
Males n = 176 | Females n = 232 | p * | Males n = 176 | Females n = 232 | p | ||
n (%) | n (%) | n (%) | n (%) | ||||
unprotected sexual contact with a casual partner | 84 (20.6) | 158 (38.7) | <0.0001 | ||||
32 (18.2) | 52 (22.4) | <0.0001 | 99 (56.3) | 59 (25.4) | <0.0001 | M < 0.0001 F 0.29 | |
sexual contact after the use of illegal drugs | 9 (2.2) | 41 (10.0) | <0.0001 | ||||
6 (3.4) | 3 (1.3) | <0.0001 | 16 (9.1) | 25 (10.7) | <0.001 | M = 0.02 F < 0.0001 | |
sexual contact after alcohol intake | 62 (15.1) | 95 (23.3) | 0.001 | ||||
33 (18.8) | 29 (12.5) | <0.0001 | 57 (32.4) | 38 (16.3) | 0.002 | M 0.002 F 0.16 | |
having 5 and more sexual partners | 127 (31.1) | 114 (27.9) | 0.24 | ||||
85 (48.3) | 42 (18.1) | <0.0001 | 65 (36.9) | 49 (21.1) | <0.0001 | M 0.008 F 0.39 |
Variables | Poland n (%) | UK n (%) | p ** | ||||
---|---|---|---|---|---|---|---|
Total | Total | ||||||
Males n = 176 | Females n = 232 | p * | Males n = 176 | Females n = 232 | p | ||
n (%) | n (%) | n (%) | n (%) | ||||
Had ever had HIV test | 80 (19.6) | 202 (49.5) | <0.0001 | ||||
25 (14.2) | 55 (23.7) | 0.02 | 94 (53.4) | 106 (45.7) | 0.15 | M < 0.001 F < 0.001 |
Variables | Type of Risky Sexual Behaviour | ||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Unprotected Sex | Sex after the Use of Alcohol | Sex after the Use of Illegal Drugs | Multiple Sex Partners | ||||||||||||||
n | N | % | p | n | N | % | p | n | N | % | p | n | N | % | p | ||
Gender: | male | 99 | 176 | 56.3 | <0.0001 | 57 | 176 | 32.4 | 0.0002 | 16 | 176 | 9.1 | 0.58 | 65 | 176 | 36.9 | 0.0004 |
female | 59 | 232 | 25.4 | 38 | 232 | 16.4 | 25 | 232 | 10.8 | 49 | 232 | 21.1 | |||||
Age: | ≤30 years | 94 | 243 | 38.7 | 0.98 | 58 | 243 | 23.9 | 0.74 | 20 | 243 | 8.2 | 0.14 | 68 | 243 | 28.0 | 0.98 |
>30 years | 64 | 165 | 38.8 | 37 | 165 | 22.4 | 21 | 165 | 12.7 | 46 | 165 | 27.9 | |||||
Residence: | rural | 22 | 52 | 42.3 | 0.57 | 11 | 52 | 21.2 | 0.70 | 7 | 52 | 13.5 | 0.38 | 20 | 52 | 38.5 | 0.07 |
urban | 136 | 356 | 25.4 | 84 | 356 | 23.6 | 34 | 356 | 9.6 | 94 | 356 | 26.4 | |||||
Marital status: | single | 94 | 263 | 35.7 | 0.10 | 56 | 263 | 21.3 | 0.20 | 21 | 263 | 8.0 | 0.06 | 54 | 263 | 20.5 | <0.0001 |
non-single | 64 | 145 | 44.1 | 39 | 145 | 26.9 | 20 | 145 | 13.8 | 60 | 145 | 41.4 | |||||
Sexual orientation: | MSM | 19 | 21 | 90.5 | <0.0001 | 10 | 21 | 47.6 | 0.01 | 7 | 21 | 33.3 | 0.001 | 7 | 21 | 33.3 | 0.38 |
other | 139 | 387 | 35.9 | 85 | 387 | 22.0 | 34 | 387 | 8.8 | 86 | 387 | 22.2 | |||||
Religiosity: | yes | 127 | 321 | 39.6 | 0.50 | 73 | 321 | 22.7 | 0.62 | 36 | 321 | 11.2 | 0.13 | 87 | 321 | 27.1 | 0.47 |
no | 31 | 87 | 35.6 | 22 | 87 | 25.3 | 5 | 87 | 5.7 | 27 | 87 | 31.0 | |||||
Literacy: | university | 60 | 130 | 46.2 | 0.04 | 40 | 130 | 30.8 | 0.01 | 22 | 130 | 16.9 | 0.002 | 33 | 130 | 25.4 | 0.43 |
below | 98 | 278 | 35.3 | 55 | 278 | 19.8 | 19 | 278 | 6.8 | 81 | 278 | 29.1 | |||||
Permanent Job: | yes | 148 | 364 | 40.7 | 0.02 | 89 | 364 | 24.5 | 0.11 | 40 | 364 | 11.0 | 0.07 | 109 | 364 | 29.9 | 0.01 |
no | 10 | 44 | 22.7 | 6 | 44 | 13.6 | 1 | 44 | 2.3 | 5 | 44 | 11.4 | |||||
Time in UK: | ≤2 years | 52 | 194 | 26.8 | 0.008 | 31 | 194 | 16.0 | 0.88 | 8 | 194 | 4.1 | 0.03 | 44 | 194 | 22.7 | 0.8 |
>2 years | 33 | 214 | 15.4 | 32 | 214 | 15.0 | 1 | 214 | 0.5 | 51 | 214 | 23.8 | |||||
Self-esteem: | low/average | 93 | 157 | 59.2 | <0.0001 | 49 | 157 | 31.2 | 0.003 | 21 | 157 | 13.4 | 0.08 | 53 | 157 | 33.8 | 0.04 |
high | 65 | 251 | 25.9 | 46 | 251 | 18.3 | 20 | 251 | 8.0 | 61 | 251 | 24.3 | |||||
Life satisfaction: | low/av. | 83 | 173 | 48.0 | 0.001 | 51 | 173 | 29.5 | 0.01 | 25 | 173 | 14.5 | 0.01 | 54 | 173 | 31.2 | 0.21 |
high | 75 | 235 | 31.9 | 44 | 235 | 18.7 | 16 | 235 | 6.8 | 60 | 235 | 25.5 | |||||
Sexual education: | yes | 7 | 35 | 20.0 | 0.02 | 8 | 35 | 22.9 | 0.95 | 2 | 35 | 0.37 | 6 | 35 | 17.1 | 0.14 | |
no | 151 | 373 | 40.5 | 87 | 373 | 23.3 | 39 | 373 | 108 | 373 | 29.0 |
Variables | Type of Risky Behaviour | ||||||||
---|---|---|---|---|---|---|---|---|---|
Unprotected Sexual Contact with a Casual Partner | Sex after the Use of Illegal Drugs | Sex after the Use of Alcohol | Multiple Sex Partners | ||||||
OR | 95% CI | OR | 95% CI | OR | 95% CI | OR | 95% CI | ||
Gender: | male | 3.55 *** | 1.68–4.25 | 0.50 | 0.23–1.05 | 2.50 *** | 1.53–4.12 | 1.91 ** | 1.19–3.10 |
female | 1.00 | 1.00 | 1.00 | 1.00 | |||||
Time in the UK: | ≤2 years | 3.13 *** | 2.26–5.53 | 4.62 *** | 2.15–11.1 | 1.45 | 0.90–2.38 | 1.50 | 0.94–2.41 |
>2 years | 1.00 | 1.00 | 1.00 | 1.00 | |||||
Education: | university degree | 1.49 | 0.91–2.38 | 3.23 *** | 1.47–6.25 | 1.49 | 0.09–2.50 | - | - |
below | 1.00 | 1.00 | 1.00 | ||||||
Marital status: | single | 1.85 ** | 1.14–2.86 | - | - | 0.69 | 0.88–2.38 | 2.08 ** | 1.28–3.57 |
non-single | 1.00 | 1.00 | 1.00 | ||||||
Sexual orientation: | MSM | - | - | - | - | - | - | 1.79 | 0.81–4.35 |
other | 1.00 | ||||||||
Religious: | no | - | - | - | - | - | - | 2.19 ** | 1.30–3.70 |
yes | 1.00 | ||||||||
Job: | permanent/part | - | - | 8.44 * | 1.6–157.9 | - | - | 1.94 | 0.94–3.91 |
unemployed | 1.00 | ||||||||
Self-esteem: | low/average | 1.82 ** | 1.05–3.17 | −1.00 | - | 0.61 | 0.99–2.70 | - | - |
high | 1.00 | 1.00 | |||||||
Life satisfaction: | low/average | - | - | - | - | 1.53 | 0.39–1.10 | - | - |
high | 1.00 | ||||||||
Sex education at school: | no | 2.27 | 0.98–5.88 | 0.36 | 0.05–1.42 | - | - | - | - |
yes | 1.00 | 1.00 |
© 2017 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
Share and Cite
Ganczak, M.; Czubińska, G.; Korzeń, M.; Szych, Z. A Cross-Sectional Study on Selected Correlates of High risk Sexual Behavior in Polish Migrants Resident in the United Kingdom. Int. J. Environ. Res. Public Health 2017, 14, 422. https://doi.org/10.3390/ijerph14040422
Ganczak M, Czubińska G, Korzeń M, Szych Z. A Cross-Sectional Study on Selected Correlates of High risk Sexual Behavior in Polish Migrants Resident in the United Kingdom. International Journal of Environmental Research and Public Health. 2017; 14(4):422. https://doi.org/10.3390/ijerph14040422
Chicago/Turabian StyleGanczak, Maria, Grażyna Czubińska, Marcin Korzeń, and Zbigniew Szych. 2017. "A Cross-Sectional Study on Selected Correlates of High risk Sexual Behavior in Polish Migrants Resident in the United Kingdom" International Journal of Environmental Research and Public Health 14, no. 4: 422. https://doi.org/10.3390/ijerph14040422
APA StyleGanczak, M., Czubińska, G., Korzeń, M., & Szych, Z. (2017). A Cross-Sectional Study on Selected Correlates of High risk Sexual Behavior in Polish Migrants Resident in the United Kingdom. International Journal of Environmental Research and Public Health, 14(4), 422. https://doi.org/10.3390/ijerph14040422