Social connectedness and health risk behaviours among in-school adolescents in urban and rural areas of Oyo State, Nigeria
pdf

Keywords

In-school adolescents
sexual behaviour
family connectedness
rural-urban secondary schools
Adolescent health

Abstract

Adolescents are considered vulnerable due to their ability to venture into Health Risk Behaviours (HRBs) that may have a long-term detrimental effect on their total wellbeing. The major focus of previous adolescents’ studies in Nigeria has been on parent-adolescent communication and the relationship it has to their academic performance and sexual behaviour; none has explored the association of social connectedness and HRBs among in-school adolescents. Thus, the aim of this study is to assess and compare social connectedness and HRBs among in-school adolescents in urban and rural areas of Oyo State.

 

A school-based comparative cross-sectional design was employed wherein 2071 in-school adolescents were selected via a multistage cluster sampling in Ibarapa Central and Ibadan North Local Government Areas of Oyo state.

 

Overall, slightly over one-half of the respondents (51.9%) were from the urban LGA and 54.2% were females. The mean age of respondents was 13.7±2.1 years and 46.7% were early adolescents aged 10-13 years. Majority (80.7%) lived with both parents, and 69.0% of their parents were in the middle socioeconomic class. The prevalence of HRBs among in-school adolescents was high (91.8%) and the mean score of social connectedness among in-school adolescents was high, with a slightly higher mean in rural area (131.71±16.43) compared to (131.04±14.47) in urban area. However, this was not statistically significant (p=0.322). The mean scores of the domains of religious connectedness (p = 0.176), school connectedness (p < 0.001), peer connectedness (p < 0.001) and social-media connectedness (p = 0.003) were higher in the rural areas. However, the mean score of family connectedness among respondents was higher in the urban area (p<0.001).

Among the in-school adolescents in the urban area, there were significantly lower mean scores for social connectedness, family, religious and school connectedness among respondents who had engaged in HRBs compared to their counterparts who had never engaged in HRBs (p<0.05).  Among the in-school adolescents in the rural area, there were significantly lower mean scores for social connectedness, peer and social-media connectedness among respondents who had engaged in HRBs compared to their counterparts who had never engaged in HRBs (p<0.05). The odds of having engaged in HRBs were significantly 1.57 times more likely among respondents who were males than those who were females {AOR= 1.57, 95% CI: 1.12 – 2.19}. The odds of having engaged in HRBs was significantly 1.44 times more likely among respondents who live in an urban area than among those who live in a rural area {AOR= 1.44, 95% CI: 1.03 – 2.01}. For a unit increase in the total score of social-media connectedness of the students, the odds of having engaged in HRBs was reduced by 0.95 {AOR= 0.95, 95% CI: 0.92 – 0.99}.

 

Therefore, various efforts targeted at improving social connectedness with its domains were recommended to prevent in-school adolescents from engaging in HRBs.

https://doi.org/10.15167/2421-4248/jpmh2021.62.3.2107
pdf

References

1. NBS. National Bureau of Statistics. Annual Abstract of Statistics, 2016. Federal Republic of Nigeria. 2016. p. 1–10.
2. National Population Commission (NPC) [Nigeria] and ICF. 2019. Nigeria Demographic and Health Survey 2018. Abuja, Nigeria, and Rockville, Maryland, USA: NPC and ICF; 2019.
3. UNICEF. United Nations Children’s Fund. Progress for Children: A report card on adolescents. 2012. p. 1–56.
4. Curtis AC. Defining Adolescence. Journal of Adolescent and Family Health. 2015;7(2):1–39. doi:http://scholar.utc.edu/jafh/vol7/iss2/2/
5. Adebayo AM, Ajuonu EJ, Betiku BO. Family functionality and parental characteristics as determinants of sexual decision-making of in-school youths in a semi-urban area of Southwest Nigeria. International Journal of Adolescent Medicine and Health. 2015;2015(7). doi:10.1515/ijamh-2015-0029
6. Kelly M, Millar M. Exploring Adolescence and Parenthood: A Transitional Life Stage and Abrupt Life Change. Journal of Community & Public Health Nursing. 2017;03(01):1–6. doi:10.4172/2471-9846.1000162
7. Tanihata T, Kanda H, Osaki Y, Ohida T, Minowa M, Wada K, et al. Unhealthy lifestyle, poor mental health, and its correlation among adolescents: A nationwide cross-sectional survey. Asia-Pacific Journal of Public Health. 2015;27(2):NP1557-NP1565. doi:10.1177/1010539512452753
8. Qidwai W, Ishaque S, Shah S, Rahim M. Adolescent lifestyle and behaviour: A survey from a developing country. PLoS ONE. 2010;5(9):1–6. doi:10.1371/journal.pone.0012914
9. Mercy ON, Peter AS. Risky Sexual Behaviours Among Female in-School Adolescents in Delta , Nigeria : Self-Esteem , Parental Involvement and Religiosity As Predictors. European Scientific Journal. 2014;10(31):157–77.
10. Kunnuji MON. Parent-child communication on sexuality-related matters in the city of Lagos, Nigeria. Africa Development. 2012;37(3):41–56.
11. Han Y, Kim H, Lee D. Application of social control theory to examine parent, teacher, and close friend attachment and substance use initiation among Korean Youth. School Psychology International. 2016;37(4):340–58. doi:10.1177/0143034316641727
12. Omotowo BI, Ndu AC, Agwu Umahi OR, Ezeoke UE, Arthur IC, Ancilla UK. Assessment of Health Risk Behaviours among Secondary School Students in Enugu, South-East, Nigeria. Global Journal of Health Science. 2017;9(7):57–66. doi:10.5539/gjhs.v9n7p57
13. Okigbo CC, Kabiru CW, Mumah JN, Mojola SA, Beguy D. Influence of parental factors on adolescents’ transition to first sexual intercourse in Nairobi, Kenya: A longitudinal study. Reproductive Health. 2015;12(1):1–12. doi:10.1186/s12978-015-0069-9
14. Boričić K, Simić S, Erić JM. Demographic and socio-economic factors associated with multiple health risk behaviours among adolescents in Serbia: A cross sectional study. BMC Public Health. 2015;15(1):1–9. doi:10.1186/s12889-015-1509-8
15. Goldfarb SS, Locher JL, Preskitt J, Becker D, Davies SL, Sen B. Associations between participation in family activities and adolescent school problems. Child: Care, Health and Development. 2017;43(3):361–8. doi:10.1111/cch.12434
16. CDC. Centers for Disease Control and Prevention. Youth Risk Behavior Survey (YRBS) 2017 Standard Questionnaire Item Rationale. CDC. 2017;75(6):1–45. doi:10.1001/jama.2010.1635.Centers
17. WHO. Adolescent Health. The missing population in universal health coverage [Internet]. 2018 [cited 2019 May 10]. p. 1–32.
18. Brooks FM, Magnusson J, Spencer N, Morgan A. Adolescent multiple risk behaviour: An asset approach to the role of family, school and community. Journal of Public Health. 2012;34(SUPPL. 1):48–56. doi:10.1093/pubmed/fds001
19. WHO. World Health Organisation. Global Health Risks: Mortality and burden of disease attributable to selected major risks. Bulletin of the World Health Organization. 2009;87:1–70. doi:10.2471/BLT.09.070565
20. CDC. Centers of Disease Control and Prevention. 2017 National Youth Risk Behavior Survey. 2017. p. 1–23.
21. Booth FW, Roberts CK, Laye MJ. Lack of exercise is a major cause of chronic diseases. Comprehensive Physiology. 2012;2(2):1143–211. doi:10.1002/cphy.c110025.Lack
22. CDC. Centers for Disease Control and Prevention. The Power of Prevention Chronic Disease. The public health challenge of the 21st century. 2009. p. 1–18.
23. Ekelund U, Steene-Johannessen J, Brown WJ, Fagerland MW, Owen N, Powell KE, et al. Does physical activity attenuate, or even eliminate, the detrimental association of sitting time with mortality? A harmonised meta-analysis of data from more than 1 million men and women. The Lancet. 2016;388(10051):1302–10. doi:10.1016/S0140-6736(16)30370-1
24. Bhupathiraju SN, Tucker KL. Coronary heart disease prevention: Nutrients, foods, and dietary patterns. Clinica Chimica Acta. 2011;412(17–18):1493–514. doi:10.1016/j.cca.2011.04.038
25. CDC. Centers for Disease Control and Prevention. Adolescent and School Health. Adolescent connectedness has lasting effects. [Internet]. Atlanta, GA: U.S: Department of Health and Human Services; 2017. p. 1.
26. Handebo S, Kebede Y, Morankar SN. Does social connectedness influence risky sexual behaviours? finding from Ethiopian youths. International Journal of Adolescence and Youth. 2017;23(2):1–14. doi:10.1080/02673843.2017.1306448
27. Munsell EP, Kilmer RP, Cook JR, Reeve CL. The Effects of Caregiver Social Connections on Caregiver, Child, and Family Well-Being. American Journal of Orthopsychiatry. 2013;82(1):137–45. doi:10.1111/j.1939-0025.2011.01129.x.The
28. Stickley A, Koyanagi A, Koposov R, Schwab-Stone M, Ruchkin V. Loneliness and health risk behaviours among Russian and U.S. adolescents: A cross-sectional study. BMC Public Health. 2014;14(1):1–12. doi:10.1186/1471-2458-14-366
29. Varga S, Piko BF. Being lonely or using substances with friends? A cross-sectional study of Hungarian adolescents’ health risk behaviours Health behavior, health promotion and society. BMC Public Health. 2015;15(1):1–9. doi:10.1186/s12889-015-2474-y
30. NBS. National Bureau of Statistics. Annual Abstract of Statistics, 2011. Federal Republic of Nigeria. 2011. p. 1–697.
31. USAID. United States Agency for International Development. President ’s Malaria Initiative: Malaria Operational Plan FY 2019. Nation State Agency for International Development (USAID). 2019. p. 1–79.
32. Allen AA, Adekola PO. Combating infant mortalilty in Ibadan North Local Government Area, SouthWest, Nigeria: need for sustainable development. Journal of Sustainable Development in Africa. 2014;16(2):14–30.
33. Adekola PO, Allen AA, Akintunde EA. Environmental factors affecting infant mortality in Ibadan North Local Government Area of Nigeria. African Journal of Social Sciences. 2014;4(1):53–67.
34. GSHS. Global school-based student health survey (GSHS) purpose and methodology: 2013 core questionnaire modules. World Health Organization.Department of Chronic Diseases and Health Promotion. 2013. p. 1–16.
35. Idowu A, Fatusi AO, Olajide FO. Clustering of behavioural risk factors for non-communicable diseases (NCDs) among rural-based adolescents in south-west Nigeria. International journal of adolescent medicine and health. 2016;30(1):1–9. doi:10.1515/ijamh-2016-0008
36. Oyedeji GA. Socio economic and Cultural Background of Hospitalized Children in Ilesha. Nigerian Journal of Paediatrics. 1985;12(4):111–7.
37. Ilori OR, Awodutire P, Ilori O. Awareness and utilization of adolescent reproductive health services among in-school adolescents in urban and rural communities in Oyo state. Niger Med Journal. 2020;61:67–72.
38. Azmawati MN, Hazariah, Siti Hamid A, Shamsul AS, Norfazilah A, Azimatun NA, Rozita H. Risk taking behaviour among urban and rural adolescents in two selected districts in Malaysia. South African Family Practice. 2015;57(3):160–5. doi:10.1080/20786190.2014.977048
39. Akanni OO, Koleoso ON, Olashore AA, Adayonfo EO, Osundina AF, Ayilara OO. Gender and other risk factors associated with risky behaviours among Nigerian adolescents. Journal of Adolescence. 2017;57:13–7. doi:10.1016/j.adolescence.2017.03.002
40. Omisore AG, Omisore B, Abioye-kuteyi EA, Bello IS, Olowookere SA. In-school adolescents’ weight status and blood pressure profile in South-western Nigeria: urban-rural comparison. BMC Obesity. 2018;5(2):1–9. doi:10.1186/s40608-018-0179-3
41. Olayiwola F, Owagbemi OG. Strains in traditional family values in a Yoruba community: a study of families in Akoko-land in Ondo State, Nigeria. European Scientific Journal. 2012;8(26):160–71.
42. Fentahun N, Mamo A. Risky sexual behaviors and associated factors among male and female students in Jimma Zone preparatory schools, South West Ethiopia: comparative study. Ethiopian journal of health sciences. 2014;24(1):59–68. doi:10.4314/ejhs.v24i1.8
43. Ameri Z, Mirzakhani F, Nabipour AR, Khanjani N, Sullman MJM. The Relationship Between Religion and Risky Behaviors Among Iranian University Students. Journal of Religion and Health. 2017;56(6):2010–22. doi:10.1007/s10943-016-0337-1
44. Hamid SH, Nawi AB. Family Characteristics Associate with Risk Taking Behaviour among Urban and Rural Adolescents in Two Districts in Selangor. A Comparative Study. Procedia - Social and Behavioral Sciences. 2013;91:581–7. doi:10.1016/j.sbspro.2013.08.457
45. Verdonk P, Seesing H, de Rijk A. Doing masculinity, not doing health? a qualitative study among dutch male employees about health beliefs and workplace physical activity. BMC Public Health. 2010;10(1):712–26. doi:10.1186/1471-2458-10-712
46. Cobey KD. Sex differences in risk taking behaviour among dutch cyclists. Evolutionary Psychology. 2013;11(2):350–64.
47. Janssen HJ, Eichelsheim VI. Sex differences in longitudinal pathways from parenting to delinquency. European Journal on Criminal Policy and Research. 2017;23(4):503–21. doi:10.1007/s10610-017-9350-5
48. Olugbenga-Bello AI, Adebimpe WO, Akande RO, Oke OS. Health risk behaviors and sexual initiation among in-school adolescents in rural communities in southwestern Nigeria. International Journal of Adolescent Medicine and Health. 2014;26(4):503–10. doi:10.1515/ijamh-2013-0326
49. Somefun OD. Religiosity and sexual abstinence among Nigerian youths: does parent religion matter? BMC Public Health. 2019;19(1):416–27.
50. Geczy I, Saewyc EM, Poon CS, Homma Y. Health-Risk Behaviors and Protective Factors among Adolescents in Rural British Columbia. The Journal of Rural Health. 2019;00(2019):1–12. doi:10.1111/jrh.12389
51. Conry M, Morgan K, Curry P. The clustering of health behaviours in Ireland and their relationship with mental health, self-rated health and quality of life. BMC Public Health. 2011;11(692):1–10.