Prevalence of Behavioural Risk Factors for Non-communicable Diseases Among Adolescents in Schools in Benin in 2016

Agbohoui Houinato Olga; Hounkpatin Benjamin; Houehanou Yessito Corine Nadege; Kpozehouen Alphonse; Gbedji Kevin Yann; Vodougnon Charlemangne; Guedou Fernand; Houinato Dismand Stephan; Perrin Rene Xavier

doi:doi:10.11648/j.sjph.20190706.16

Prevalence of Behavioural Risk Factors for Non-communicable Diseases Among Adolescents in Schools in Benin in 2016

Agbohoui Houinato Olga, Hounkpatin Benjamin, Houehanou Yessito Corine Nadege, Kpozehouen Alphonse, Gbedji Kevin Yann, Vodougnon Charlemangne, Guedou Fernand, Houinato Dismand Stephan, Perrin Rene Xavier

Published in Science Journal of Public Health (Volume 7, Issue 6)

Received: 22 September 2019 Accepted: 15 October 2019 Published: 27 November 2019

Views: Downloads:

Download PDF

Share This Article

Twitter
Linked In
Facebook

Abstract

Introduction: Non-communicable diseases (NCDs) are on the rise in sub-Saharan Africa. The overall objective of this study was to estimate the prevalence of behavioural risk factors for NCDs among adolescents in schools in Benin in 2016. Methods: This was a cross-sectional study conducted in 2016 and involving 3,841 adolescents of 10 to 19 years from 40 secondary schools in Benin. Participants were selected using a 2-level random sampling technique. Data were collected through a self-administered questionnaire and were analysed using Stata software. Associated factors were investigated by a logistic regression. Results: The average age of the participants was 16.54 ± 0.04 and the sex ratio was 1.16. The prevalence of alcohol consumption was 48.3%, and was associated with residence and class. The prevalence of tobacco use was 8%, and was associated with gender, age, type of facility and residence. The prevalence of insufficient physical activity was 56.4%, and was associated with gender. The prevalence of physical inactivity was 12.4%, and was associated with age, class, socio-economic level of parents and type of facility. The consumption of soft drinks was 34.9%, and was associated with gender and type of establishment. The prevalence of under-consumption of fruit and vegetables was 94.3%. That of consumption of fast food was 38.6%, and was associated with the type of establishment, the class and the person who the adolescent lived with. Conclusion: This work shows the importance of NCDs’ Risk Factors in schools. It is now urgent to implement specific interventions in order to reverse the trend.

Published in	Science Journal of Public Health (Volume 7, Issue 6)
DOI	10.11648/j.sjph.20190706.16
Page(s)	214-224
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), 2019. Published by Science Publishing Group

Keywords

Adolescents, Risk Factors, Non-communicable Diseases, School Environment, Benin

References

[1]	World Health Organization. Highlights from the WHO Global Conference on NCDs: Enhancing policy coherence to prevent and control noncommunicable diseases 18–20 October 2017, Montevideo, Uruguay [En ligne]. WHO; 2017. Disponible: http://www.who.int/conferences/global-ncd-conference/en/.
[2]	Alwan A. Global status report on noncommunicable diseases 2010 [En ligne]. Geneva: WHO; 2010. Disponible: http://www.who.int/nmh/publications/ncd_report2010/en/.
[3]	Aubry P, Gaûzère B-A. Les maladies non transmissibles dans les pays du Sud. Médecine tropicale. 2015; 5–7.
[4]	Gaimard M. Santé, morbidité et mortalité des populations en développement. Mondes en développement. 2008; (142): 23–38.
[5]	Aubry P, Gaüzère B-A. Les cancers dans les pays en développement Actualités 2016. Médecine tropicale. 2016; 7.
[6]	Ly A. Enjeux de la prévention des cancers dans les pays du Sud [En ligne]. Grotius International. 2011 Disponible: https://grotius.fr/enjeux-de-la-prevention-des-cancers-dans-les-pays-du-sud/.
[7]	World Health Organization. Adolescent development [En ligne]. WHO [cité le 9 Sep 2019]. Disponible: https://www.who.int/maternal_child_adolescent/topics/adolescence/dev/fr/.
[8]	Konfino J. Global School-based Student Health Survey. Agentina. 2012; 1–2.
[9]	N’Cho D, Dagnan SN, Zengbe-Acray P, Ahoussou E-MK, Ekou FK, et al. Consommation d’alcool en milieu urbain chez les élèves du secondaire en Côte d’Ivoire. 2014.
[10]	Mabiala-Babela J-R, Mahoungou-Guimbi K-C, Massamba A, Senga P. Consommation de l’alcool chez l’adolescent à Brazzaville (Congo). 2005.
[11]	Diboh E, Yao KM, Tako NA, Bakou NF, Assi B. Alcoolisation chez les jeunes élèves en Côte d’Ivoire: préférence et consommation effective. European Scientific Journal. 2013; 9 (30): 380–93.
[12]	Berten H, Cardoen D, Brondeel R, Vettenburg N. Alcohol and cannabis use among adolescents in Flemish secondary school in Brussels: effects of type of education. BMC Public Health. 2012 Mar 20; 12: 215.
[13]	Tessier S, Hamel D, April N. La consommation excessive d’alcool chez les jeunes Québécois: déterminants et problèmes liés [En ligne]. Québéc: Institut National de Santé Publique du Québec; 2015 p. 36. Disponible: http://www.inspq.qc.ca.
[14]	Cardoso A, Venzac M, Maquinghen S. Drogues et dépendances quelles différences de consommation entre le milieu urbain et le milieu rural? Observatoire Régional de la Santé d’Auvergne; 2012 p. 69.
[15]	Mimbila-Mayi M, Vierin Y, Biloghe A, Moussavou-Mouyama A. Consumption of addictive substances by Gabonese teenagers: An epidemiological survey. Cah d’études Rech Francoph Santé. 2012; 21 (3): 149–52.
[16]	Sarr SC, Mane ML, Der D, Dia AA, Diallo K. L’enquête sur le tabac chez les adolescents en milieu scolaire au Sénégal. Sénégal: Ministère de la Sante et de la Prévention; 2007 p. 15.
[17]	Barbosa Filho VC, Campos W de, Lopes A da S. Prevalence of alcohol and tobacco use among Brazilian adolescents: a systematic review. Revista de Saúde Pública. 2012 Oct; 46 (5): 901–17.
[18]	Befinoana M, Razanamihaja N. Tabagisme et facteurs associés chez les adolescents scolarisés à Madagascar. Sante Publique. 2011; 23 (6): 465–74.
[19]	Aboobakar S. GSHS Mauritius Country Report. Mauritius: Ministry of Health & Quality of Life; 2011.
[20]	Nikiéma L, Kouanda S, Seck I, Tiendrebéogo S, Ouédraogo HG, Yaméogo M, et al. Consommation des psychotropes en milieu scolaire, au Burkina Faso: Prévalences et facteurs de risque. Science et Technique, Sciences de la Santé. 1 Jan 2011; 34 (1–2): 65-82.
[21]	Hamchaoui F. Besoins de santé et comportements à risque des adolescents scolarisés dans la wilaya d’Alger [Thèse de Médecine]. Alger: Université Alger1 Benyoucef Benkhedda-Faculté de Médecine d’Alger; 2016.
[22]	Owusu A. Ghana-Global School-based Student Health Survey (GSHS). 2008 p. 100.
[23]	Legleye S, Spilka S, Le Nézet O, Hassler C, Choquet M. Alcool, tabac et cannabis à 16 ans-Premiers résultats du volet français de l’enquête ESPAD 2007. 2009; 64: 6.
[24]	Estimations 2014 des consommations de produits psychoactifs à 17 ans-Note de synthèse-OFDT [En ligne]. [cité le 9 Sep 2019]. Disponible: https://www.ofdt.fr/publications/collections/notes/estimations-2014-des-consommations-de-produits-psychoactifs-17-ans/.
[25]	Al-Hazzaa HM, Abahussain NA, Al-Sobayel HI, Qahwaji DM, Musaiger AO. Physical activity, sedentary behaviors and dietary habits among Saudi adolescents relative to age, gender and region. Int J Behav Nutr Phys Act. 2011 Dec 21; 8: 140–9.
[26]	Tremblay MS, LeBlanc AG, Kho ME, Saunders TJ, Larouche R, Colley RC et al. Systematic review of sedentary behaviour and health indicator in school aged childern and youth. Int J Behav Nutr Phys Act. 2011 Sep 21; 8 (98): 5–7. doi: 10.1186/1479-5868-8-98.
[27]	Greca JP de A, Silva DAS, Loch MR. Physical activity and screen time in children and adolescents in a medium size town in the South of Brazil. Rev Paul Pediatr. 2016 Jul-Sep; 34 (3): 316–22. doi: 10.1016/j.rppede.2016.01.001.
[28]	Kalman M, Inchley J, Sigmundova D, Iannotti RJ, Tynjälä JA, Hamrik Z et al. Secular trends in moderate-to-vigorous physical activity in 32 countries from 2002 to 2010: a cross-national perspective. Eur J Public Health. 2015 Apr; 25 (Suppl 2): 34–40. doi: 10.1093/eurpub/ckv024.
[29]	Gharbi N. GSHS Maroc 2016 Fact Sheet. Morocco: Ministry of Health; 2016.
[30]	Krishna A. GSHS Nepal Fact Sheet. Ministry of Health Complex. 2015.
[31]	Rapport GSHS Djibouti. Ministères de la Santé, de l’Education Nationale et de l’Enseignement Supérieur, World Health Organisation, Center for Disease Control & Prevention [En ligne]. 2007 p. 64. Disponible: http://www.who.int/chp/gshs/2007_Djibouti_GSHS_Report.pdf?ua=1.
[32]	Vereecken C, Maes L, De Bacquer D. The influence of parental occupation and the pupils’ educational level on lifestyle behaviors among adolescents in Belgium. J Adolesc Health Off Publ Soc Adolesc Med. 2004 Apr; 34 (4): 330–8.
[33]	Lytle LA, Varnell S, Murray DM, Story M, Perry C, Birnbaum AS et al. Predicting Adolescents’ Intake of Fruits and Vegetables. J Nutr Educ Behav. July–August 2003; 35 (4): 170–8.
[34]	Skinner J, Byun R, Blinkhorn A, Johnson G. Sugary drink consumption and dental caries in New South Wales teenagers. Aust Dent J. 2015 Jun; 60 (2): 169–75.
[35]	Feeley A, Pettifor J, Norris S. Fast-food consumption among 17-year-olds in the Birth to Twenty cohort. South Afr J Clin Nutr. 2009; 3 (22): 118–23.

Cite This Article

Plain Text BibTeX RIS

APA Style

Agbohoui Houinato Olga, Hounkpatin Benjamin, Houehanou Yessito Corine Nadege, Kpozehouen Alphonse, Gbedji Kevin Yann, et al. (2019). Prevalence of Behavioural Risk Factors for Non-communicable Diseases Among Adolescents in Schools in Benin in 2016. Science Journal of Public Health, 7(6), 214-224. https://doi.org/10.11648/j.sjph.20190706.16

Copy | Download

ACS Style

Agbohoui Houinato Olga; Hounkpatin Benjamin; Houehanou Yessito Corine Nadege; Kpozehouen Alphonse; Gbedji Kevin Yann, et al. Prevalence of Behavioural Risk Factors for Non-communicable Diseases Among Adolescents in Schools in Benin in 2016. Sci. J. Public Health 2019, 7(6), 214-224. doi: 10.11648/j.sjph.20190706.16

Copy | Download

AMA Style

Agbohoui Houinato Olga, Hounkpatin Benjamin, Houehanou Yessito Corine Nadege, Kpozehouen Alphonse, Gbedji Kevin Yann, et al. Prevalence of Behavioural Risk Factors for Non-communicable Diseases Among Adolescents in Schools in Benin in 2016. Sci J Public Health. 2019;7(6):214-224. doi: 10.11648/j.sjph.20190706.16

Copy | Download

@article{10.11648/j.sjph.20190706.16,
  author = {Agbohoui Houinato Olga and Hounkpatin Benjamin and Houehanou Yessito Corine Nadege and Kpozehouen Alphonse and Gbedji Kevin Yann and Vodougnon Charlemangne and Guedou Fernand and Houinato Dismand Stephan and Perrin Rene Xavier},
  title = {Prevalence of Behavioural Risk Factors for Non-communicable Diseases Among Adolescents in Schools in Benin in 2016},
  journal = {Science Journal of Public Health},
  volume = {7},
  number = {6},
  pages = {214-224},
  doi = {10.11648/j.sjph.20190706.16},
  url = {https://doi.org/10.11648/j.sjph.20190706.16},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.sjph.20190706.16},
  abstract = {Introduction: Non-communicable diseases (NCDs) are on the rise in sub-Saharan Africa. The overall objective of this study was to estimate the prevalence of behavioural risk factors for NCDs among adolescents in schools in Benin in 2016. Methods: This was a cross-sectional study conducted in 2016 and involving 3,841 adolescents of 10 to 19 years from 40 secondary schools in Benin. Participants were selected using a 2-level random sampling technique. Data were collected through a self-administered questionnaire and were analysed using Stata software. Associated factors were investigated by a logistic regression. Results: The average age of the participants was 16.54 ± 0.04 and the sex ratio was 1.16. The prevalence of alcohol consumption was 48.3%, and was associated with residence and class. The prevalence of tobacco use was 8%, and was associated with gender, age, type of facility and residence. The prevalence of insufficient physical activity was 56.4%, and was associated with gender. The prevalence of physical inactivity was 12.4%, and was associated with age, class, socio-economic level of parents and type of facility. The consumption of soft drinks was 34.9%, and was associated with gender and type of establishment. The prevalence of under-consumption of fruit and vegetables was 94.3%. That of consumption of fast food was 38.6%, and was associated with the type of establishment, the class and the person who the adolescent lived with. Conclusion: This work shows the importance of NCDs’ Risk Factors in schools. It is now urgent to implement specific interventions in order to reverse the trend.},
 year = {2019}
}

Copy | Download

TY - JOUR
T1 - Prevalence of Behavioural Risk Factors for Non-communicable Diseases Among Adolescents in Schools in Benin in 2016
AU - Agbohoui Houinato Olga
AU - Hounkpatin Benjamin
AU - Houehanou Yessito Corine Nadege
AU - Kpozehouen Alphonse
AU - Gbedji Kevin Yann
AU - Vodougnon Charlemangne
AU - Guedou Fernand
AU - Houinato Dismand Stephan
AU - Perrin Rene Xavier
Y1 - 2019/11/27
PY - 2019
N1 - https://doi.org/10.11648/j.sjph.20190706.16
DO - 10.11648/j.sjph.20190706.16
T2 - Science Journal of Public Health
JF - Science Journal of Public Health
JO - Science Journal of Public Health
SP - 214
EP - 224
PB - Science Publishing Group
SN - 2328-7950
UR - https://doi.org/10.11648/j.sjph.20190706.16
AB - Introduction: Non-communicable diseases (NCDs) are on the rise in sub-Saharan Africa. The overall objective of this study was to estimate the prevalence of behavioural risk factors for NCDs among adolescents in schools in Benin in 2016. Methods: This was a cross-sectional study conducted in 2016 and involving 3,841 adolescents of 10 to 19 years from 40 secondary schools in Benin. Participants were selected using a 2-level random sampling technique. Data were collected through a self-administered questionnaire and were analysed using Stata software. Associated factors were investigated by a logistic regression. Results: The average age of the participants was 16.54 ± 0.04 and the sex ratio was 1.16. The prevalence of alcohol consumption was 48.3%, and was associated with residence and class. The prevalence of tobacco use was 8%, and was associated with gender, age, type of facility and residence. The prevalence of insufficient physical activity was 56.4%, and was associated with gender. The prevalence of physical inactivity was 12.4%, and was associated with age, class, socio-economic level of parents and type of facility. The consumption of soft drinks was 34.9%, and was associated with gender and type of establishment. The prevalence of under-consumption of fruit and vegetables was 94.3%. That of consumption of fast food was 38.6%, and was associated with the type of establishment, the class and the person who the adolescent lived with. Conclusion: This work shows the importance of NCDs’ Risk Factors in schools. It is now urgent to implement specific interventions in order to reverse the trend.
VL - 7
IS - 6
ER -

Copy | Download

Author Information

Agbohoui Houinato Olga

Epidemiologic Laboratory for Chronic and Neurological Diseases (LEMACEN), University of Abomey Calavi, Cotonou, Benin
Hounkpatin Benjamin

University Hospital of Mother and Child Lagune (CHU MEL), University of Abomey Calavi, Cotonou, Benin
Houehanou Yessito Corine Nadege

Epidemiologic Laboratory for Chronic and Neurological Diseases (LEMACEN), University of Abomey Calavi, Cotonou, Benin
Kpozehouen Alphonse

Regional Institute of Public Health (IRSP), University of Abomey Calavi, Cotonou, Benin
Gbedji Kevin Yann

Epidemiologic Laboratory for Chronic and Neurological Diseases (LEMACEN), University of Abomey Calavi, Cotonou, Benin
Vodougnon Charlemangne

Epidemiologic Laboratory for Chronic and Neurological Diseases (LEMACEN), University of Abomey Calavi, Cotonou, Benin
Guedou Fernand

Health Center of Sexually Transmitted Infections (DIST), Health Center of Cotonou1, Cotonou, Bénin
Houinato Dismand Stephan

Epidemiologic Laboratory for Chronic and Neurological Diseases (LEMACEN), University of Abomey Calavi, Cotonou, Benin
Perrin Rene Xavier

University Hospital of Mother and Child Lagune (CHU MEL), University of Abomey Calavi, Cotonou, Benin

Download PDF

Sections

Plain Text BibTeX RIS

APA Style

Agbohoui Houinato Olga, Hounkpatin Benjamin, Houehanou Yessito Corine Nadege, Kpozehouen Alphonse, Gbedji Kevin Yann, et al. (2019). Prevalence of Behavioural Risk Factors for Non-communicable Diseases Among Adolescents in Schools in Benin in 2016. Science Journal of Public Health, 7(6), 214-224. https://doi.org/10.11648/j.sjph.20190706.16

Copy | Download

ACS Style

Agbohoui Houinato Olga; Hounkpatin Benjamin; Houehanou Yessito Corine Nadege; Kpozehouen Alphonse; Gbedji Kevin Yann, et al. Prevalence of Behavioural Risk Factors for Non-communicable Diseases Among Adolescents in Schools in Benin in 2016. Sci. J. Public Health 2019, 7(6), 214-224. doi: 10.11648/j.sjph.20190706.16

Copy | Download

AMA Style

Agbohoui Houinato Olga, Hounkpatin Benjamin, Houehanou Yessito Corine Nadege, Kpozehouen Alphonse, Gbedji Kevin Yann, et al. Prevalence of Behavioural Risk Factors for Non-communicable Diseases Among Adolescents in Schools in Benin in 2016. Sci J Public Health. 2019;7(6):214-224. doi: 10.11648/j.sjph.20190706.16

Copy | Download

@article{10.11648/j.sjph.20190706.16,
  author = {Agbohoui Houinato Olga and Hounkpatin Benjamin and Houehanou Yessito Corine Nadege and Kpozehouen Alphonse and Gbedji Kevin Yann and Vodougnon Charlemangne and Guedou Fernand and Houinato Dismand Stephan and Perrin Rene Xavier},
  title = {Prevalence of Behavioural Risk Factors for Non-communicable Diseases Among Adolescents in Schools in Benin in 2016},
  journal = {Science Journal of Public Health},
  volume = {7},
  number = {6},
  pages = {214-224},
  doi = {10.11648/j.sjph.20190706.16},
  url = {https://doi.org/10.11648/j.sjph.20190706.16},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.sjph.20190706.16},
  abstract = {Introduction: Non-communicable diseases (NCDs) are on the rise in sub-Saharan Africa. The overall objective of this study was to estimate the prevalence of behavioural risk factors for NCDs among adolescents in schools in Benin in 2016. Methods: This was a cross-sectional study conducted in 2016 and involving 3,841 adolescents of 10 to 19 years from 40 secondary schools in Benin. Participants were selected using a 2-level random sampling technique. Data were collected through a self-administered questionnaire and were analysed using Stata software. Associated factors were investigated by a logistic regression. Results: The average age of the participants was 16.54 ± 0.04 and the sex ratio was 1.16. The prevalence of alcohol consumption was 48.3%, and was associated with residence and class. The prevalence of tobacco use was 8%, and was associated with gender, age, type of facility and residence. The prevalence of insufficient physical activity was 56.4%, and was associated with gender. The prevalence of physical inactivity was 12.4%, and was associated with age, class, socio-economic level of parents and type of facility. The consumption of soft drinks was 34.9%, and was associated with gender and type of establishment. The prevalence of under-consumption of fruit and vegetables was 94.3%. That of consumption of fast food was 38.6%, and was associated with the type of establishment, the class and the person who the adolescent lived with. Conclusion: This work shows the importance of NCDs’ Risk Factors in schools. It is now urgent to implement specific interventions in order to reverse the trend.},
 year = {2019}
}

Copy | Download