Socioeconomic Factors and Sexual Behavior Associated with HIV Infection in Population, in Kebumen District, Central Java


  • Tri Subaeti Masters program in public health, Universitas Sebelas Maret
  • Argyo Demartoto Faculty of Social and Political Sciences, Universitas Sebelas Maret
  • Bhisma Murti Masters program in public health, Universitas Sebelas Maret


Background: Globally, the number of people infected with Human Immuno-deficiency Virus (HIV) was estimated at 36.7 million. This study aimed to examine the social economic determinants of HIV status in Kebumen district community.

Subjects and Method: This was an analytic observational with a case-control design. This study was conducted in Kebumen District, Central Java, from January to February 2018. A sample of 81 HIV positive cases and 162 negative controls were selected for this study by fixed disease sampling. The dependent variable was HIV status. The independent variables were age, sex, marital status, income, education, ignorance of the HIV status, health worker support, number of sexual partners, and sexual transmitted infection (STI). Data on HIV status were taken from medical record. The data of other variables were collected by questionnaire. The data were analyzed by logistic regression.

Results: HIV positive status increased with higher income (OR= 2.94; 95% CI= 1.04 to 8.26; p= 0.041), age ?24 years (OR=4.33; 95% CI= 1.19 to 15.8; p= 0.026), ignorance of HIV status (OR=0.21; 95% CI= 0.09 to 0.51; p= 0.001), lack of health worker support (OR= 5.62; 95% CI= 0.88 to 35.58; p= 0.067), multiple sexual partner (OR= 6.59; 95% CI= 2.69 to 16.18; p<0.001), and presence of STI (OR= 14.19; 95% CI= 5.06 to 39.85; p<0.001).

Conclusion: HIV positive status increases with higher income, age ?24 years, ignorance of HIV status, lack of health personnel support, multiple sexual partner, and presence of STI.

Keywords: socioeconomic, determinant, HIV



Adilo TM& Wordofa HM (2017). Prevalence of fertility desire and its associated factors among 15 to 49-year-old people living with HIV/AIDS in Addis Ababa, Ethiopia: a crosssectional study design. HIV/AIDS Research and Palliative Care, 31(3), 167

Akinyemi JO, Ogunbosi BO, Fayemiwo AS, Adesina OA, Obaro M, Kuti MA, Adewole IF (2017). Demographic and epidemiological characteristics of HIV opportunistic infections among older adults in Nigeria. African Health Sciences, 17(2), 315

Alemu YM, Ambaw F, & Wilder Smith A (2017). Utilization of HIV testing services among pregnant mothers in low income primary care settings in northern Ethiopia: a cross sectional study. BMC Pregnancy and Childbirth, 17(1), 199.

Arnold MP, Fisher HR & McFarland W (2011). Socioeconomic position and HIV risk relevant behavior among lower income heterosexuals in San Francisco. AIDS and Behavior, 15(2), 499

Awofala AA, Ogundele OE (2015). HIV epidemiology in Nigeria. Saudi Journal of Biological Sciences.


CDC. (2017). HIV/AIDS | CDC. Retrieved December 13, 2017, from

ChandaKapata P, Klinkenberg E, Maddox N, Ngosa W, Kapata N (2016). The prevalence and socioeconomic determinants of HIV among teenagers aged 15-18 years who were participating in a mobile testing population based survey in 2013-2014 in Zambia. BMC Public Health, 16(1), 1

Deressa T, Sinku Y, Gezahegn T, Gashaw Y, Workineh M (2016). Seroprevalence of human immunodeficiency virus among voluntary counseling and testing clients at the University of Gondar Teaching Hospital, Northwest Ethiopia. HIV/AIDS Research and Palliative Care. 8: 135

Dias SS, Mbofana F, Cassy SR, Dias S, Augusto GF, Agadjanian V, Martins MRO. (2018). Estimating risk factors for HIV infection among women in Mozambique using population based survey data. African Journal of AIDS Research, 17(1), 62

Dinkes Kabupaten Kebumen. (2017). Analisa Kasus HIV/AIDS di Kabupaten Kebumen.

Demartoto A (2013). Seks, Gender, Seksualitas Gay dan Lesbian. from diakses padaOctober 19, 2017.

Demartoto A, Zunariyah S, Soemanto RB (2017). Pendidikan Sebaya Terstruktur Responsif AIDS. Surakarta: CV. Kekata Group, Surakarta.

Dinkes Prop. Jateng. (2017). Hasil Kegiatan HIV dan AIDS Provinsi Jawa Tengah. Semarang.

Dunkle KL, Wong FY, Nehl PEJ, Lin L, He N, Huang J, Zheng T (2013). MaleonMale Intimate Partner Violence and Sexual Risk Behaviors Among Money Boys and Other Men Who Have Sex With Men in Shanghai , China, 40(5), 362

Ellen JM, Greenberg L, Willard N, Stines S, Korelitz J, Boyer CB. (2015). Crosssectional survey comparing HIV risk behaviours of adolescent and young adult men who have sex with men only and men who have sex with men and women in the US and Puerto Rico: Table 1. Sexually Transmitted Infections, 91(6), 458

Fagbamigbe AF, Adebayo SB, Idemudia E. (2016). Marital status and HIV prevalence among women in Nigeria: Ingredients for evidencebased programming. International Journal of Infectious Diseases, 48, 57


Gelaw YA, Senbete GH, Adane AA, Alene KA (2015). Determinants of late presentation to HIV/AIDS care in Southern Tigray Zone, Northern Ethiopia: An institution based casecontrol study. AIDS Research and Therapy, 12(1), 1

Heiligenberg M, Rijnders B, Van Der Loeff MFS, De Vries HJC, Van Der Meijden WI, Geerlings SE, Prins JM (2012). High prevalence of sexually transmitted infections in HIVinfected men during routine outpatient visits in the Netherlands. Sexually Transmitted Diseases, 39(1), 8

Karkashadze E, Gates MA, Chkhartishvili N, DeHovitz J, Tsertsvadze T. (2017). Assessment of quality of life in people living with HIV in Georgia. International Journal of STD & AIDS, 28(7), 672

Kembo J (2012). Risk factors associated with HIV infection among young persons aged 15-24 years: Evidence from an indepth analysis of the 2005-06 Zimbabwe demographic and health survey. Sahara J, 9(2), 54

Kemenkes RI (2017). Data dan Informasi Profil Kesehatan Indonesia 2016. Jakarta.

Lakew Y, Benedict S, Haile D (2015). Social determinants of HIV infection, hotspot areas and subpopulation groups in Ethiopia: evidence from the National Demographic and Health Survey in 2011. BMJ Open, 5(11), e008669. 2015 008669

Lall P (2014). Social Factors Affecting Women

Martins Fonteyn E, Loquiha O, BaltazarC, Thapa S, Boothe M, Raimundo I, Wouters E (2017). Factors influencing risky sexual behaviour among Mozambican miners: a socio epidemiological contribution for HIV prevention framework in Mozambique. International Journal for Equity in Health, 16(1), 179.

Molla AA, Gelagay AA (2017). Risky sexual practice and associated factors among HIV positive adults attending antiretroviral treatment clinic at Gondar University Referral Hospital, North west Ethiopia. PLoS ONE, 12(3), 1

Musheke M, Ntalasha H, Gari S, Mckenzie O, Bond V, MartinHilber A, Merten S (2013). A systematic review of qualitative findings on factors enabling and deterring uptake of HIV testing in Sub Saharan Africa. BMC Public Health, 13(1), 220.

Perdana MV, Demartoto A, Indarto D (2016). Effects of Predisposing, bling , and Reinforcing Factors on the Uptake of Voluntary Counselling and Testing among Female Sex Workers in Grobogan, Central Java. nal Conference on Public Health, 1172: 243

Pouget E (2017). Social determinants of adult sex ratios and racial/ethnic disparities in transmission of HIV and other sexually transmitted infections in the U.S. Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences, 95.

Rojas P, Huang H, Li T, Ravelo GJ, Sanchez M, Dawson C, De La Rosa M (2016). Sociocultural determinants of risky sexual behaviors among adult latinas: A longitudinal study of a based sample. national Journal of Environmental Research and Public Health, 13(11), 1

SalazarAustin NMK, Chariyalertsak ACS, Srithanaviboonchai K, Gray G, Richter L, Morin H, van RS, Mbwambo MS (2017). Related Differences in Socio demographic and Behavioral Determinants of HIV Testing and Counseling in HPTN 043/NIMH Project.

Shittu RO, Issa BA, Olanrewaju GT, Mahmoud AO, Odeigah LO & Sule AG. (2014). Social Determinants of Depression: Social Cohesion, Negative Life Events, and Depression Among People Living with HIV/Aids in Nigeria, West Africa. International Journal of MCH and AIDS, 2(2), 174

Spiritia (2017). Statistik Kasus HIV/AIDS di Indonesia.

Sutton MY, Gray SC, Elmore K & Gaul Z. (2017). Social determinants of HIV disparities in the southern United States and in counties with historically black colleges and universities (HBCUs), 20132014. PLoS ONE, 12(1), 2013

Teklehaimanot HD, Teklehaimanot A, Yohannes M, Biratu D. (2016b). Factors influencing the uptake of voluntary HIV counseling and testing in rural Ethiopia: a cross sectional study. BMC Public Health, 16(1), 239.

Torres RMC, Cruz MM, daP

WHO. (2017). HIV/AIDS. Retrieved from http://www.who./mediacentre/factsheets/fs360.

_____ (2016). Consolidated guidelines on the use of antiretroviral drugs for treating and preventing HIV infection: recommendations for a public health approach.

Xu JF, Ming ZQ, Zhang YQ, Wang PC, Jing J& Cheng F. (2017). Family support, discrimination, and quality of life among ARTtreated HIV infected patients: A two year study in China. Infectious Diseases of Poverty, 6(1), 1




How to Cite

Subaeti, T., Demartoto, A., & Murti, B. (2018). Socioeconomic Factors and Sexual Behavior Associated with HIV Infection in Population, in Kebumen District, Central Java. Journal of Health Promotion and Behavior, 3(1), 56–65. Retrieved from




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