Background: Non-communicable diseases (NCDs) are the leading causes of poor health and premature mortality worldwide. Although NCDs are majorly prevalent in middle to late adulthood, most lifestyle habits are started during adolescence a significant period of development. This research evaluated the risk and determinants of non-communicable diseases among adolescents in public and private secondary schools in Port Harcourt, Rivers State. Methods: The study used a comparative cross-sectional design to collect research data from 640 adolescents. Participants were selected through a multi-stage sampling technique and data was analysed with IBM Statistical Product for the Service Solution version 29. Results: Private and public school respondents report on NCDs (asthma, diabetes and high blood pressure) was 3.4% and 2.5% respectively. NCDs behavioural and metabolic risk factors were prevalent among both private and public school adolescents. Private school students exhibited higher prevalence of physical activity (75% vs. 61.6%), soft drink consumption (96.3% vs. 92.5%), alcohol consumption (45.6% vs. 36.9%), overweight (17.3% vs. 7.5%), obesity (5.9% vs. 1.6%), prehypertension (12.8% vs. 5%) and hypertension (6.6% vs. 1.6%). Conversely, public school students had higher prevalence of daily fruit intake (19.4% vs. 8.8%) and tobacco use (7.5% vs. 2.2%). Socioeconomic status, behavioural risk factors and metabolic risk factors were statistically significant (p<0.05). Conclusion: This study identified NCDs risk factors among adolescents that can lead to development of NCDs in adulthood, hence there is need for preventive measures that are targeted and data-driven to ensure adolescents adopt healthy lifestyles.
Published in | World Journal of Public Health (Volume 9, Issue 4) |
DOI | 10.11648/j.wjph.20240904.16 |
Page(s) | 366-379 |
Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
Copyright |
Copyright © The Author(s), 2024. Published by Science Publishing Group |
Non-communicable Diseases, Risk Factors, Adolescents, Public Schools, Private Schools
[1] | Owopetu OF, Adebayo AM, Popoola OA. Behavioural risk factors for non-communicable diseases among undergraduates in South-west Nigeria: Knowledge, prevalence and correlates: A comparative cross-sectional study. Journal of Preventive Medicine and Hygiene. 2021; 61(4): E568–E577. |
[2] |
World Health Organization. Non-communicable diseases key facts by WHO. In: News-room. 2023. Available from:
https://www.who.int/news-room/fact-sheets/detail/noncommunicable-diseases |
[3] | World Health Organization. Global status report on non-communicable diseases 2014. WHO Library; 2014. 302 p. |
[4] | Oluwasanu MM, Oladepo O. Effects of a multi-level intervention on the pattern of physical activity among in-school adolescents in Oyo state Nigeria: A cluster randomised trial. BMC Public Health. 2017; 17(1): 833. |
[5] | Olaoluwa SA, Benedicta NA, Felicia SE, Theresa CM, Prince CIU. Knowledge of risk factors for lifestyle induced chronic diseases among secondary school students in Obio/Akpor LGA, Rivers State. Journal of Public Health and Epidemiology. 2016; 8(8): 136–146. |
[6] | Ng M, Fleming T, Robinson M, Thomson B, Graetz N, Margono C, et al. Global, regional, and national prevalence of overweight and obesity in children and adults during 1980–2013: a systematic analysis for the Global Burden of Disease Study 2013. The Lancet. 2014; 384(9945): 766–781. |
[7] | Obita G, Alkhatib A. Disparities in the Prevalence of Childhood Obesity-Related Comorbidities: A Systematic Review. Frontiers in Public Health. 2022; 10: 923744. |
[8] | Black RE, Victora CG, Walker SP, Bhutta ZA, Christian P, de Onis M, et al. Maternal and child undernutrition and overweight in low-income and middle-income countries. The Lancet. 2013; 382(9890): 427–451. |
[9] | National Population Commission of Nigeria. Nigeria Demographic and Health Survey 2013. National Population Commission; 2014. |
[10] | Chung ST, Krenek A, Magge SN. Childhood Obesity and Cardiovascular Disease Risk. Current atherosclerosis reports. 2023; 25(7): 405–415. |
[11] | Arias N, Calvo MD, Benítez-Andrades JA, Álvarez MJ, Alonso-Cortés B, Benavides C. Socioeconomic status in adolescents: A study of its relationship with overweight and obesity and influence on social network configuration. International Journal of Environmental Research and Public Health. 2018; 15(9): 1869. |
[12] | Allen L, Williams J, Townsend N, Mikkelsen B, Roberts N, Foster C, et al. Socioeconomic status and non-communicable disease behavioural risk factors in low-income and lower-middle-income countries: a systematic review. The Lancet Global Health. 2017; 5(3): e277-e289. |
[13] | National Bureau of Statistics. City population: Obio/ Akpor Local Government Area. 2022. Available from: |
[14] | Rivers State Ministry of Education. RIVEMIS Schools Directory. 2023. Available from: |
[15] | Kim HY. Statistical notes for clinical researchers: Sample size calculation 2. Comparison of two independent proportions. Restorative dentistry & endodontics. 2016; 41(2): 154–156. |
[16] | Ezeudu CE, Chukwuka JO, Ebenebe JC, Igwe WC, Egbuonu I. Hypertension and prehypertension among adolescents attending secondary schools in urban area of South-East, Nigeria. The Pan African medical journal. 2018; 31: 145. |
[17] | Bujang MA. A Step-by-Step Process on Sample Size Determination for Medical Research. The Malaysian journal of medical sciences: MJMS. 2021; 28(2): 15–27. |
[18] | Biau DJ, Kernéis S, Porcher R. Statistics in brief: the importance of sample size in the planning and interpretation of medical research. Clinical orthopaedics and related research. 2008; 466(9): 2282–2288. |
[19] | Rusticus SA, Lovato CY. Impact of sample size and variability on the power and type I error rates of equivalence tests: A simulation study. Practical Assessment, Research, and Evaluation. 2014; 19(1): 11. |
[20] |
World Health Organization. Noncommunicable Disease Surveillance, Monitoring and Reporting: STEPwise approach to NCD risk factor surveillance (STEPS). 2024. Available from:
https://www.who.int/teams/noncommunicable-diseases/surveillance/systems-tools/steps |
[21] | Eviano J. O. Dietary Pattern, Nutritional Status And Blood Pressure Level Of In-School Adolescents In Edo State, Nigeria. 2020. Available from: |
[22] | World Health Organization. Reference curves. In: European Childhood Obesity Group (ECOG) eBook. 2006. Available from: |
[23] | Akinsanya OO, Ajayi KO, Salomi MO. Relative effects of parents' occupation, qualification and academic motivation of wards on students' achievement in senior secondary school mathematics in Ogun State. Journal of Education and Practice. 2014; 5(22): 3–15. |
[24] | Oduro-ofori E, Mansoh M, Attom L, Kafui O, Amaka-Otchere A. Effect of parental socio-economic status on the performance of senior high school students in the Sefwi Wiawso municipality in Ghana. East African Journal of Education and Social Sciences. 2023; 4: 58–68. |
[25] | OECD. Equity in Education: Breaking Down Barriers to Social Mobility. PISA, OECD Publishing; 2018. |
[26] | Heyneman S, Stern J. Low-cost private schools for the poor: What public policy is appropriate? International Journal of Educational Development. 2014; 35: 3–15. |
[27] | Munir J, Faiza M, Daud S. The Impact of Socio-economic Status on Academic Achievement. Journal of Social Sciences and Research. 2023; 3: 695-705. |
[28] | Ibadin M, Akpede G. A revised scoring scheme for the classification of socio-economic status in Nigeria. Nigerian Journal of Paediatrics. 2021; 48(1): 26-33. |
[29] | Downing KL, Hesketh KD, Timperio A, Salmon J, Moss K, Mishra G. Family history of non-communicable diseases and associations with weight and movement behaviours in Australian school-aged children: A prospective study. BMJ Open. 2020; 10(11): e038789. |
[30] | Wang J, Geng L. Effects of Socioeconomic Status on Physical and Psychological Health: Lifestyle as a Mediator. International journal of environmental research and public health. 2019; 16(2): 281. |
[31] | Budreviciute A, Damiati S, Sabir DK, Onder K, Schuller-Goetzburg P, Plakys G, et al. Management and Prevention Strategies for Non-communicable Diseases (NCDs) and Their Risk Factors. Frontiers in Public Health. 2020; 8: 574111. |
[32] | Adebusoye B, Leonardi-Bee J, Phalkey R, Chattopadhyay K. Proportion of School Attending Adolescents Meeting the Recommended Moderate-to-Vigorous Physical Activity Level and Its Predictors in Lagos, Nigeria. International Journal of Environmental Research and Public Health. 2021; 18(20): 10744. |
[33] | Onoh I, Dairo MD, Balogun MS, Fawole O. Prevalence and Predictors of Tobacco Use Among Adolescents in Ibadan, Nigeria. Preventing chronic disease. 2023; 20: E40. |
[34] | Sharma, Mandliya, Dhaneria, Diwan V. Assessment of prevalence of risk factors for non-communicable diseases in early adolescent age group using Global School Health Survey in Ujjain, Madhya Pradesh, India. Pediatric Review: International Journal of Pediatric Research. 2020; 7(6): 228-236. |
[35] | Jain A, Dhanawat J, Kotian S, Angeline R. Assessment of risk factors of non-communicable diseases among high school students in Mangalore, India. Int J Health Allied Sci. 2012; 1(4): 249-54. |
[36] | Abraham D, Cash HL, Durand A M, Denholm J, Moadsiri A, Gopalani SV, et al. High Prevalence of Non-Communicable Disease Risk Factors among Adolescents in Pohnpei, Micronesia. Hawai'i journal of medicine & public health: a journal of Asia Pacific Medicine & Public Health. 2018; 77(11): 283–288. |
[37] | Arora M, Mathur C, Rawal T, Bassi S, Lakshmy R, Nazar GP, et al. Socioeconomic differences in prevalence of biochemical, physiological, and metabolic risk factors for non-communicable diseases among urban youth in Delhi, India. Preventive Medicine Reports. 2018; 12: 33–39. |
[38] | Seema S, Rohilla K, Kalyani V, Babbar P. Prevalence and contributing factors for adolescent obesity in present era: Cross-sectional Study. Journal of Family Medicine and Primary Care. 2021; 10(5): 1890-1896. |
[39] | Piryani S, Baral KP, Pradhan B, Poudyal AK, Piryani RM. Overweight and its associated risk factors among urban school adolescents in Nepal: a cross-sectional study. BMJ Open. 2015; 5(5): e007406. |
[40] | Fallah Z, Qorbani M, Motlagh ME, Heshmat R, Ardalan G, Kelishadi R. Prevalence of Prehypertension and Hypertension in a Nationally Representative Sample of Iranian Children and Adolescents: The CASPIAN-IV Study. International Journal of Preventive Medicine. 2014; 5(Suppl 1): S57-S64. |
[41] | Abah VO. Poor Health Care Access in Nigeria: A Function of Fundamental Misconceptions and Misconstruction of the Health System. IntechOpen; 2023. |
[42] | Braveman P, Gottlieb L. The social determinants of health: it's time to consider the causes of the causes. Public Health Reports. 2014; 129(Suppl 2): 19–31. |
[43] | Yan Y, Mi J. Noncommunicable chronic disease prevention should start from childhood. Pediatric Investigation. 2021; 5(1): 3–5. |
[44] | Biswas T, Townsend N, Huda MM, Maravilla J, Begum T, Pervin S, et al. Prevalence of multiple non-communicable diseases risk factors among adolescents in 140 countries: A population-based study. EClinicalMedicine. 2022; 52: 101591. |
APA Style
Enuagwuna, F. C., Asiboje, E. T., Ofurum, I. C., Wilcox, S. A. (2024). Risk and Determinants of Non-communicable Diseases Among Adolescents in Public and Private Secondary Schools in Port Harcourt, Rivers State, Nigeria. World Journal of Public Health, 9(4), 366-379. https://doi.org/10.11648/j.wjph.20240904.16
ACS Style
Enuagwuna, F. C.; Asiboje, E. T.; Ofurum, I. C.; Wilcox, S. A. Risk and Determinants of Non-communicable Diseases Among Adolescents in Public and Private Secondary Schools in Port Harcourt, Rivers State, Nigeria. World J. Public Health 2024, 9(4), 366-379. doi: 10.11648/j.wjph.20240904.16
AMA Style
Enuagwuna FC, Asiboje ET, Ofurum IC, Wilcox SA. Risk and Determinants of Non-communicable Diseases Among Adolescents in Public and Private Secondary Schools in Port Harcourt, Rivers State, Nigeria. World J Public Health. 2024;9(4):366-379. doi: 10.11648/j.wjph.20240904.16
@article{10.11648/j.wjph.20240904.16, author = {Fredrick Chuks Enuagwuna and Efemierhere Tamaramiebibo Asiboje and Ifeoma Chinyere Ofurum and Shekinah Adonye Wilcox}, title = {Risk and Determinants of Non-communicable Diseases Among Adolescents in Public and Private Secondary Schools in Port Harcourt, Rivers State, Nigeria }, journal = {World Journal of Public Health}, volume = {9}, number = {4}, pages = {366-379}, doi = {10.11648/j.wjph.20240904.16}, url = {https://doi.org/10.11648/j.wjph.20240904.16}, eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.wjph.20240904.16}, abstract = {Background: Non-communicable diseases (NCDs) are the leading causes of poor health and premature mortality worldwide. Although NCDs are majorly prevalent in middle to late adulthood, most lifestyle habits are started during adolescence a significant period of development. This research evaluated the risk and determinants of non-communicable diseases among adolescents in public and private secondary schools in Port Harcourt, Rivers State. Methods: The study used a comparative cross-sectional design to collect research data from 640 adolescents. Participants were selected through a multi-stage sampling technique and data was analysed with IBM Statistical Product for the Service Solution version 29. Results: Private and public school respondents report on NCDs (asthma, diabetes and high blood pressure) was 3.4% and 2.5% respectively. NCDs behavioural and metabolic risk factors were prevalent among both private and public school adolescents. Private school students exhibited higher prevalence of physical activity (75% vs. 61.6%), soft drink consumption (96.3% vs. 92.5%), alcohol consumption (45.6% vs. 36.9%), overweight (17.3% vs. 7.5%), obesity (5.9% vs. 1.6%), prehypertension (12.8% vs. 5%) and hypertension (6.6% vs. 1.6%). Conversely, public school students had higher prevalence of daily fruit intake (19.4% vs. 8.8%) and tobacco use (7.5% vs. 2.2%). Socioeconomic status, behavioural risk factors and metabolic risk factors were statistically significant (pConclusion: This study identified NCDs risk factors among adolescents that can lead to development of NCDs in adulthood, hence there is need for preventive measures that are targeted and data-driven to ensure adolescents adopt healthy lifestyles. }, year = {2024} }
TY - JOUR T1 - Risk and Determinants of Non-communicable Diseases Among Adolescents in Public and Private Secondary Schools in Port Harcourt, Rivers State, Nigeria AU - Fredrick Chuks Enuagwuna AU - Efemierhere Tamaramiebibo Asiboje AU - Ifeoma Chinyere Ofurum AU - Shekinah Adonye Wilcox Y1 - 2024/11/22 PY - 2024 N1 - https://doi.org/10.11648/j.wjph.20240904.16 DO - 10.11648/j.wjph.20240904.16 T2 - World Journal of Public Health JF - World Journal of Public Health JO - World Journal of Public Health SP - 366 EP - 379 PB - Science Publishing Group SN - 2637-6059 UR - https://doi.org/10.11648/j.wjph.20240904.16 AB - Background: Non-communicable diseases (NCDs) are the leading causes of poor health and premature mortality worldwide. Although NCDs are majorly prevalent in middle to late adulthood, most lifestyle habits are started during adolescence a significant period of development. This research evaluated the risk and determinants of non-communicable diseases among adolescents in public and private secondary schools in Port Harcourt, Rivers State. Methods: The study used a comparative cross-sectional design to collect research data from 640 adolescents. Participants were selected through a multi-stage sampling technique and data was analysed with IBM Statistical Product for the Service Solution version 29. Results: Private and public school respondents report on NCDs (asthma, diabetes and high blood pressure) was 3.4% and 2.5% respectively. NCDs behavioural and metabolic risk factors were prevalent among both private and public school adolescents. Private school students exhibited higher prevalence of physical activity (75% vs. 61.6%), soft drink consumption (96.3% vs. 92.5%), alcohol consumption (45.6% vs. 36.9%), overweight (17.3% vs. 7.5%), obesity (5.9% vs. 1.6%), prehypertension (12.8% vs. 5%) and hypertension (6.6% vs. 1.6%). Conversely, public school students had higher prevalence of daily fruit intake (19.4% vs. 8.8%) and tobacco use (7.5% vs. 2.2%). Socioeconomic status, behavioural risk factors and metabolic risk factors were statistically significant (pConclusion: This study identified NCDs risk factors among adolescents that can lead to development of NCDs in adulthood, hence there is need for preventive measures that are targeted and data-driven to ensure adolescents adopt healthy lifestyles. VL - 9 IS - 4 ER -