Development and psychometric properties of an instrument to measure perception of aphrodisiac use among undergraduates in a southwestern Nigerian university.
Aphrodisiacs
Polychoric analysis
Psychometric analysis
University undergraduates
Journal
BMC public health
ISSN: 1471-2458
Titre abrégé: BMC Public Health
Pays: England
ID NLM: 100968562
Informations de publication
Date de publication:
17 May 2024
17 May 2024
Historique:
received:
18
08
2022
accepted:
24
01
2023
medline:
17
5
2024
pubmed:
17
5
2024
entrez:
16
5
2024
Statut:
epublish
Résumé
A tool to measure perception of aphrodisiac use by undergraduates students of University of Ibadan, Oyo State, Nigeria was developed and validated. The study was hinged on several theories that could explain potential to use aphrodisiac among the youths. An exploratory mixed methods design was used to develop a scale to measure perception of aphrodisiac use by undergraduate students of University of Ibadan. Qualitative data collection was performed among thirty equally represented male and female students and five key informant interview participants while 919 participants completed the quantitative phase (surveys). Integration of matched qualitative themes from FGD/KII to survey domains was achieved through the 'building approach'. Qualitative themes assessing perceptions of aphrodisiac use by university undergraduate students were used to develop original survey items as well as new survey items peculiar to research subjects. Exploratory factor analysis was deployed on polychoric correlation matrix of the items using R-statistical packages. Further model fit analysis was conducted using confirmatory factor analysis on the items suggested by EFA as well as composite reliability and construct validity tests for the constructs. Mean Z-scores of factors were computed against socio-demographics and symptoms of aphrodisiac use among respondents that have ever used it. Most respondents (84.3%) were under 25 years, mostly male (58.4%) and singles (96.3%), with 41.3% earning ≤20,000 naira monthly. The enhanced content validity of the items from mixed method analysis yielded two major domains. Two succession of factor analyses and a structural equation modeling suggested that a first-order model is good fit for experimental data (TLI = 0.931; CFI = 0.948; SRMR = 0.047; RMSEA = 0.083). The four-factor solution to the model included: prolonged sexual performance, use without erectile dysfunction or medical advice, treatment of erectile dysfunction and recreational purposes with an internal and composite reliability that ranged from 0.62-0.92 and 0.63-0.92. The validation with socio-demographics and consequences of aphrodisiac use indicated that: Male respondents, those older than 20years, the married, those from poorly educated parent and sufferers of all related consequences had statistically significant differences with poor perception of aphrodisiac use' domains. This validated instrument is good for assessment of perception of aphrodisiac use among students in tertiary institution albeit with caution. A version of the scale that is broadened with highly refined items and tested for high internal validity is suggested.
Identifiants
pubmed: 38755580
doi: 10.1186/s12889-024-18736-y
pii: 10.1186/s12889-024-18736-y
doi:
Types de publication
Journal Article
Validation Study
Langues
eng
Sous-ensembles de citation
IM
Pagination
1331Informations de copyright
© 2024. The Author(s).
Références
Wallen K, Zehr JL. Hormones and history of the evolution and development of Primate Female sexuality. J Sex Res. 2004;41(1):101–12.
doi: 10.1080/00224490409552218
pubmed: 15216429
pmcid: 1255935
Yakubu MT, Akanji MA, Oladiji AT. Male sexual dysfunction and methods used in assessing medicinal plants with aphrodisiac potentials. Pharmacog Rev. 2007;1:49–56.
Porst H. C7- pp. 75–93. Oral Pharmacotherapy of Erectile Dysfunction SN-9781405157193. https://doi.org/10.1002/9780470755235.ch7 . https://doi.org/10.1002/9780470755235.ch7.
Bhagavathula AS, Elnour AA, Shehab A. Pharmacovigilance on sexual enhancing herbal supplements. Saudi Pharm J. 2016;24:115–8. [CrossRef] [PubMed].
doi: 10.1016/j.jsps.2015.01.018
pubmed: 26903775
Fiaveh DY, Masculinity. Male sexual virility, and Use of aphrodisiacs in Ghana. J Men Stud. 2020;28:165–82.
doi: 10.1177/1060826519887510
Taberner PV. In: Aphrodisiacs, editor. Drugs used clinically as Aphrodisiacs. Boston, MA: Springer; 1985. https://doi.org/10.1007/978-1-4684-6700-0_8 .
doi: 10.1007/978-1-4684-6700-0_8
Manortey S, Mensah P, Acheampong G. Evaluating factors Associated with the Use of aphrodisiacs among adult male residents in Ashaiman Municipality, Ghana. Open Access Libr J. 2018;5:1–13.
Makwana S, Solanki M, Raloti S, Dikshit R. Evaluation of Recrea-tional use of aphrodisiac drugs and its consequences? An online questionnaire based study. Int J Res Med. 2013;2:51–9.
Dandekar R, Shafee M. Aphrodisiacs use and its client profile: an exploratory study in Aurangabad city, Maharashtra. Int J Biomedical Res. 2013;486. https://doi.org/10.7439/ijbr.v4i9.343 . 4.
Lampiao F, Miyango S, Simkoza H. Herbal aphrodisiac use among male adolescents and teenagers in a rural area of Blantyre district, Malawi. Int J Reprod Contracept Obstet Gynecol. 2017;4(3):581–3. https://doi.org/10.18203/2320-1770.ijrcog20150055 .
doi: 10.18203/2320-1770.ijrcog20150055
Yiana A, Ziblim S, Azusiyinne M. The increasing use of sex enhancing drugs among men in the Tamale Metropolis. Int J Med Res Health Sci. 2018;7(11):186–96.
Amidu N, Owiredu WKB, Woode E, Addai-Mensah O, Gyasi-Sarpong KC, Alhassan A. Prevalence of male sexual dysfunction among Ghanaian Populace: myth or reality. Int J Impot Res. 2010;22:337–42.
doi: 10.1038/ijir.2010.24
pubmed: 20927122
Akre C, Berchtold André, Gmel G, Suris J-C. The evolution of sexual dysfunction in Young men aged 18–25 years. J Adolesc Health. 2014;55. https://doi.org/10.1016/j.jadohealth.2014.05.014 .
McCabe SE. Correlates of nonmedical use of prescription benzodiazepine anxiolytics: results from a national survey of U.S. college students. Drug Alcohol Depend. 2005;79(1):53–62. https://doi.org/10.1016/j.drugalcdep.2004.12.006 .
doi: 10.1016/j.drugalcdep.2004.12.006
pubmed: 15943944
pmcid: 1761924
Osinowo HO, Agberotimi SF, Abubakar SY, Rogo IS, Opayinka AO. Non-medical use of pharmaceutical drugs and motivation for change among street youth in Kano, Nigeria. Afr J drug Alcohol Stud. 2019;18:121–30.
Fatoye F. (2003). Psychosocial correlates of substance use amongst secondary school students in South Western Nigeria. East African medical journal. 80. 154–8. https://doi.org/10.4314/eamj.v80i3.8685 .
Danquah C, Koffuor GA, Anto BP, Nimako KA The indiscriminate use of sex enhancing products among Ghanaians: Prevalence, and potential risk. Adv. Appl. Sci. Res.,2011, 2, 350?359.
Ahmed AF, Alshahrani S, Morgan A, Gabr AH, Abdel-Razik M, Daoud A. (2017) Demographics and Sexual Characteristics of Sex-Enhancing Medication Users: Study of a Web-Based Cross-Sectional Sample of Sexually Active Men. Arab Journal of Urology, 15, 366–371. https://doi.org/10.1016/j.aju.2017.09.003 .
Atindanbila S, Mawusi AS, Attiogbe A, Abasimi E, Amooba P. (2014). Bio-psychosocial Factors Associated with the Use of Sexual Enhancers Among Ghanaian Men. International Journal of Research -GRANTHAALAYAH. Vol.2(Iss.2):November,2014] ISSN- 2350 – 0530.
Fetters MD, Curry LA, Creswell JW. Achieving integration in mixed methods designs – principles and practices. Health Serv Res. 2013;48(6pt2):2134–56. https://doi.org/10.1111/1475-6773.12117 .
doi: 10.1111/1475-6773.12117
pubmed: 24279835
pmcid: 4097839
Holgado FP, Carrasco MA, del Barrio MV, Moscoso S. Factor analysis of the big five questionnaire using polychoric correlations in children. Qual Quant. 2009;43:75–85. https://doi.org/10.1007/s11135-007-9085-3 .
doi: 10.1007/s11135-007-9085-3
Lee S, Poon. WY. Two-step estimation of multivariate polychoric correlation. Commun Stat - Theory Methods. 1987;16(2):307–20. https://doi.org/10.1080/03610928708829368 .
doi: 10.1080/03610928708829368
R Core Team. (2013). R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. URL http://www.R-project.org/ .
Kline RB. Principles and practice of structural equation modeling. New York: The Guilford; 2011. p. 425.
Wang J, Wang X. (2012). Structural Equation Modeling: Applications Using Mplus.
Hoboken NJ. Wiley, Higher Education Press. https://doi.org/10.1002/9781118356258 .
Cronbach LJ: Coefficient alpha and the internal structure of tests. Psychometrika., Raykov T. (1997). Estimation of composite reliability for congeneric measures. Applied Psychological Measurement, 21(2), 173–184.
Raykov, T. (1997). Estimation of composite reliability for congeneric measures. Applied Psychological Measurement, 21(2), 173-184.
Campbell DT, Fiske DW. (1959). Convergent and Discriminant Validation by the Multitrait-Multimethod Matrix. Psychological Bulletin, 56, 81–105. https://doi.org/10.1037/h0046016 .
Amoah PA, Adjei SB, Arthur-Holmes FA. Social– ecological study of perceptions and determinants of sexual Enhancement Drug Use among men and women in Ghana. Int J Environ Res Public Health. 2022;19:6521. https://doi.org/10.3390/ijerph19116521 .
doi: 10.3390/ijerph19116521
pubmed: 35682105
pmcid: 9180177
Oniye AO, Odebode AA, Ajape SA. Patterns of aphrodisiac herbs usage as expressed by married adults in Kwara State, Nigeria. Nigerian J Guidance Counselling. 2016;21:117–34.
Sanni A. Sexual dysfunctionality and Aphrodiasic Approach among couples of Ebiras in Kogi Central. J Res Humanit Social ScienceVolume 9 ~ Issue. 2021;4(ISSNOnline):10–5.
Prins J, Blanker MH, Bohnen AM, Thomas S, Bosch JLHR. Prevalence of erectile dysfunction: a systematic review of population-based studies. Int J Impot Res. 2002;14(6):422–32.
doi: 10.1038/sj.ijir.3900905
pubmed: 12494273
Ajao AA, Sibiya NP, Moteetee AN. Sexual prowess from nature: a systematic review of medicinal plants used as aphrodisiacs and sexual dysfunction in sub-saharan Africa. S Afr J Bot. 2019;122:342–59. [CrossRef].
doi: 10.1016/j.sajb.2018.08.011