Childhood obesity has unhealthy consequences, both in the short and long terms. Recently, a worrying increase in overweight and obesity in Sub-Saharan African children was reported. This study aims to determine the prevalence of obesity/overweight in public and private schools in children aged 6-9 years in the city of Douala, and identify the risk factors associated with obesity and comorbidities in this population. Parental health status; children’s birth weight, breastfeeding duration, physical activity and settles way of life data were collected using a questionnaire, and correlated to obesity and related comorbidities indexes: waist circumference (WC), Waist to Height Ratio (WtHR) and body mass index (BMI). Obesity (9%) and overweight (6.1%) were found in children, mostly in private than in public schools (13.82% versus 4.4% and 10.53% versus 1.9%; P<0.0001 respectively). Parents overweight and diabetes histories, birth weight (˃4 kg), breastfeeding duration (≤6 months), having less than 6 breakfasts a week, watching television more than 2hr/day, sleeping less than 10h/day and physical inactivity at school and home were significantly associated with obesity and related comorbidities in children (p<0.05 respectively). Overweight and obesity are a reality in these children, especially in those going to the private schools. Most of the factors associated are related to parents’ and children’s health history, but also to children’s lifestyles that can be changed at home and at school.
Published in | Central African Journal of Public Health (Volume 6, Issue 4) |
DOI | 10.11648/j.cajph.20200604.12 |
Page(s) | 192-199 |
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), 2020. Published by Science Publishing Group |
Obesity, Overweight, Childhood, School, Risk of Comorbidity, Birth Weight, Breastfeeding Duration, Skipping Breakfast, Sedentary Behaviours
[1] | Garrow JS. Obesity and related diseases. London, Churchill Livingstone, 1988: 1-16. |
[2] | Popkin BM, Adair LS. Global nutrition transition and the pandemic of obesity in developing countries. ILSI. 2012; 70: 3-21. |
[3] | WHO. Global strategy for diet, physical activity and health. http://www.who.int/topics/obesity/fr/, 2019. Accessed July 9, 2019. |
[4] | Finucane MM, Stevens GA, Cowan M, Danaei G et al. National, regional, and global trends in body-mass index since 1980: systematic analysis of health examination surveys and epidemiological studies with 960 country-years and 9•1 million participants. Lancet. 2011; 377 (9765): 557-567. |
[5] | Stein CJ and Colditz GA. Epidemic of Obesity. J Clin Endocrinol Metab, June 2004, 89 (6): 2522–2525. |
[6] | Misra A. and Khurana L. Obesity and Metabolic syndrome in developing countries. J. Clin. Endocrinol. Metab. 2008; 93 (Suppl. 1), S9-S30. |
[7] | Chopra M, Galbraith S, Darnton-Hill I. A global response to a global problem: the epidemic of over nutrition. Bull World Heath Organ. 2002; 80 (12). pp. 952-958. |
[8] | The Writing Group for the SEARCH for Diabetes in Youth Study. “Incidence of diabetes in youth in the United States.” Journal of the American Medical Association. 2007; 297: 2716-2724. |
[9] | Dietz W. “Health consequences of obesity in youth: Childhood predictors of adult disease.” Pediatrics. 1998; 101: 518-525. |
[10] | Gilliland FD, Berhane K, Islam T, et al. “Obesity and the risk of newly diagnosed asthma in school-age children.” American Journal of Epidemiology. 2003; 158 (5): 406-415. |
[11] | Kershnar A, Daniels S, Imperatore G, et al. “Lipid abnormalities are prevalent in youth with type 1 and type 2 diabetes: The SEARCH for Diabetes in Youth Study.” The Journal of Pediatrics. 2006; 149 (3): 314-319. |
[12] | Wang YC, Gortmaker SL, Sobol AM et al. “Estimating the energy gap among U.S. children: A counterfactual approach.” Pediatrics. 2006; 118: 1721-1733. |
[13] | Lim SS, Vos T, Flaxman AD et al. A comparative risk assessment of burden of disease and injury attributable to 67 risk factors and risk factor clusters in 21 regions, 1990–2010: A systematic analysis for the Global Burden of Disease Study 2010. Lancet. 2012; 380: 2224–60. |
[14] | Ng M, Fleming T, Robinson M, Thomson B 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. Lancet. 2014; 384: 766–81. |
[15] | De Onis M, Blossner M, Borghi E. Global prevalence and trends of overweight and obesity among preschool children. Am J Clin Nutr, 2010; 92, 1257- 64. |
[16] | Muthuri SK, Francis CE, Wachira LJ et al. Evidence of an overweight/obesity transition among school-aged children and youth in Sub-Saharan Africa: a systematic review. PLoS One. 2014; 9 (3): e92846. |
[17] | Gebremedhin S. Prevalence and differentials of overweight and obesity in preschool children in Sub Saharan Africa. BMJ. 2015; 5: e009005. Doi: 10.1136/bmjopen-2015-009005. |
[18] | World Health Organization – Non communicable Diseases (NCD) Country Profiles, 2018. |
[19] | Wamba PC, Enyong J, Cianflone K. Prevalence of overweight, obesity, and thinness in Cameroon urban children and Adolescents. J Obes. 2013: 1–9. |
[20] | Choukem S, Kamdeu J, Leary D et al. Overweight and obesity in children aged 3-13 years in urban Cameron: a cross-sectional study of prevalence and association with socio-economic status. Obesity. 2017; 4: 7. |
[21] | Rolland-Cachera MF, Castetbon K, Arnault N et al. Body mass index in 7-9-y-old French children: frequency of obesity, overweight and thinness. Int J Obes. 2002; 26 (12): 1610–1616. |
[22] | Mokha JS, Srinivasan SR, Dasmahapatra P et al. Utility of waist-to-height ratio in assessing the status of central obesity and related cardiometabolic risk profile among normal weight and overweight/obese children: the Bogalusa Heart Study. BMC Pediatr. 2010; 10: 73. |
[23] | Sharma AK, Metzger DL, Daymont C et al. (2015). LMS tables for waist-circumference and waist-height ratio Z-scores in children aged 5-19 y in NHANES III: association with cardio-metabolic risks. International Pediatric Research Foundation. 2015; 78: 6. |
[24] | Allam O, Oulamara H, Agli, AN. Prévalence et facteurs de risque du surpoids chez des enfants scolarisés dans une ville de l’est algérien (Constantine). Antropo. 2016; 35: 91-102. |
[25] | Zayed AA, Beano AM, Haddadin FI et al. Prevalence of short stature, underweight, overweight, and obesity among school children in Jordan. BMC Public Health. 2016; 16 (1): 1040. |
[26] | Rito AI, Buoncristiano M, Spinellic A et al. Association between Characteristics at Birth, Breastfeeding and Obesity in 22 Countries: The WHO European Childhood Obesity Surveillance Initiative – COSI 2015/2017. Obes Facts. 2019; 12: 226–243. |
[27] | Abah SO, Aigbiremolen AO, Duru CB et al. Prevalence of overweight and obesity among students in private and public secondary schools in a peri-urban Nigerian town. J Biol, Agr Healthcare. 2012; 2 (11): 51-57. |
[28] | Kyallo F, Makokha A, Mwangi AM. Overweight and obesity among public and private primary school children in Nairobi, Kenya. Health. 2013; 5 (8): 85-90. |
[29] | Ashwell M, Gunn P, Gibson S. Waist-to-height ratio is a better screening tool than waist circumference and BMI for adult cardiometabolic risk factors. Systematic Review and meta-analysis. 2012; 13: 275-86. |
[30] | Svensson V, Jacobsson JA, Fredriksson R et al. Associations between severity of obesity in childhood and adolescence, obesity onset and parental BMI: a longitudinal cohort study. Int J Obes. 2011; 35: 46–52. |
[31] | Lake J, Power C, Cole TJ. Child to adult body mass index in the 1958 British birth cohort: associations with parental obesity. Arch Dis Child. 1997; 77: 376–38. |
[32] | Whitaker RC. Predicting Pre-schooler Obesity at Birth: The Role of Maternal Obesity in Early Pregnancy. Pediatrics. 2004; 114: 29-36. |
[33] | Colditz GA, Willett WC, Rotnitzky A et al. Weight gain as a risk factor for clinical diabetes mellitus in women. Ann Intern Med. 1995; 122: 481–486 |
[34] | Chan JM, et al. Obesity, fat distribution, and weight gain as risk factors for clinical diabetes in men. Diabetes Care. 1994; 17: 961–969 |
[35] | Bell S, Yew SSY, Devenish G et al. Duration of Breastfeeding, but Not Timing of SolidFood, Reduces the Risk of Overweight and Obesity in Children Aged 24 to 36 Months: Findings from an Australian Cohort Study. Int J Environ Res Public Health. 2018; 15, 599. Doi: 10.3390/ijerph15040599. |
[36] | Apfelbacher CJ, Loerbroks A, Cairns J et al. Predictors of overweight and obesity in five to seven-year-old children in Germany: Results from cross–sectional studies. BMC Public Health. 2008; 8, 171. |
[37] | Faye J, Diop M, Badji L et al. Prevalence of Child and Teenage Obesity in Schools in Dakar. Bull Soc Pathol Exot. 2011; 104; 1: 49-52. |
[38] | Vafa M, Moslehi N, Afshari S et al. Relationship between Breastfeeding and Obesity in Childhood. J Health Popul Nutr. 2012; 30 (3): 303-310. |
[39] | Okada C, Tabuchi T, Iso H. Association between skipping breakfast in parents and children and childhood overweight/obesity among children: a nationwide 10.5-year prospective study in Japan. International Journal of Obesity. 2018; 42: 1724–1732. |
[40] | Nas A, Mirza N, Hagele F et al. Impact of breakfast skipping compared with dinner skipping on regulation of energy balance and metabolic risk. Ame J Clin Nutr. 2017; 105: 1351–61. |
[41] | Tammelin T, Laitinen, J, Nayha S. Change in the level of physical activity from adolescence into adulthood and obesity at the age of 31 years. Int J Obes. 2004; 28: 775-782. |
[42] | Must A, Tybor DJ. Physical Activity and Sedentary Behaviour: A Review of Longitudinal Studies of Weight and Adiposity in Youth. Int J Obes. 2005, 29: 84-96. |
[43] | Gholami S, Rahmanian M, Ashkezari SJ et al. The Prevalence of Obesity and Overweight and Its Relevance to Transportation among Primary School Students: Yazd, Iran; 2015. Int J School Health. 2019 (In Press): e90365. doi: 10.5812/intjsh.90365. |
[44] | Jago R, Baranowski T, Baranowski JC et al. BMI from 3–6y of age is predicted by TV viewing and physical activity, not diet. Int J Obes. 2005; 29: 557–564. |
[45] | Gable S, Chang Y, Krull JL. Television Watching and Frequency of Family Meals Are Predictive of Overweight Onset and Persistence in a National Sample of School-Aged Children. J of Am Diet Assoc. 2007; 107: 53-54. |
[46] | Chaput JP, Brunet M, Tremblay A. Relationship between short sleeping hours and childhood overweight/obesity: results from the Quebec en Forme Project. Int J Obes. 2006; 30: 1080- 1085. |
[47] | Li L, Zhang S, Huang Y, Chen K. Sleep duration and obesity in children: A systematic review and meta-analysis of prospective cohort studies. J Paediatr Child Health. 2017; 53 (4): 378-385. |
[48] | Tremblay MS, Le Blanc AG, Kho ME et al. Systematic review of sedentary behaviour and health indicator in school–aged children and youth. Inter J Behav Nutr Phys Act. 2011; 8: 98. |
[49] | Hancox RJ and Poulton, R. Watching television is associated with childhood obesity: but is it clinically important?. Int J Obes. 2006; 30: 171–175. |
APA Style
Ayina Ayina Clarisse Noel, Assomo Ndemba Peguy Brice, Mekoulou Ndongo Jerson, Bilog Nadine Carole, Ahmadou, et al. (2020). Obesity and Risk of Comorbidity: Prevalence and Associated Factors in Children Aged 6 to 9 Years in Public and Private Schools in Douala-Cameroon. Central African Journal of Public Health, 6(4), 192-199. https://doi.org/10.11648/j.cajph.20200604.12
ACS Style
Ayina Ayina Clarisse Noel; Assomo Ndemba Peguy Brice; Mekoulou Ndongo Jerson; Bilog Nadine Carole; Ahmadou, et al. Obesity and Risk of Comorbidity: Prevalence and Associated Factors in Children Aged 6 to 9 Years in Public and Private Schools in Douala-Cameroon. Cent. Afr. J. Public Health 2020, 6(4), 192-199. doi: 10.11648/j.cajph.20200604.12
AMA Style
Ayina Ayina Clarisse Noel, Assomo Ndemba Peguy Brice, Mekoulou Ndongo Jerson, Bilog Nadine Carole, Ahmadou, et al. Obesity and Risk of Comorbidity: Prevalence and Associated Factors in Children Aged 6 to 9 Years in Public and Private Schools in Douala-Cameroon. Cent Afr J Public Health. 2020;6(4):192-199. doi: 10.11648/j.cajph.20200604.12
@article{10.11648/j.cajph.20200604.12, author = {Ayina Ayina Clarisse Noel and Assomo Ndemba Peguy Brice and Mekoulou Ndongo Jerson and Bilog Nadine Carole and Ahmadou and Bindi Ngasse Josiane Gertrude and Etaga Noel Babayana and Temfemo Abdou and Mbanya Jean Claude and Sobngwi Eugène and Mandengue Samuel Honoré and Etoundi Ngoa Laurent Serge}, title = {Obesity and Risk of Comorbidity: Prevalence and Associated Factors in Children Aged 6 to 9 Years in Public and Private Schools in Douala-Cameroon}, journal = {Central African Journal of Public Health}, volume = {6}, number = {4}, pages = {192-199}, doi = {10.11648/j.cajph.20200604.12}, url = {https://doi.org/10.11648/j.cajph.20200604.12}, eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.cajph.20200604.12}, abstract = {Childhood obesity has unhealthy consequences, both in the short and long terms. Recently, a worrying increase in overweight and obesity in Sub-Saharan African children was reported. This study aims to determine the prevalence of obesity/overweight in public and private schools in children aged 6-9 years in the city of Douala, and identify the risk factors associated with obesity and comorbidities in this population. Parental health status; children’s birth weight, breastfeeding duration, physical activity and settles way of life data were collected using a questionnaire, and correlated to obesity and related comorbidities indexes: waist circumference (WC), Waist to Height Ratio (WtHR) and body mass index (BMI). Obesity (9%) and overweight (6.1%) were found in children, mostly in private than in public schools (13.82% versus 4.4% and 10.53% versus 1.9%; P<0.0001 respectively). Parents overweight and diabetes histories, birth weight (˃4 kg), breastfeeding duration (≤6 months), having less than 6 breakfasts a week, watching television more than 2hr/day, sleeping less than 10h/day and physical inactivity at school and home were significantly associated with obesity and related comorbidities in children (p<0.05 respectively). Overweight and obesity are a reality in these children, especially in those going to the private schools. Most of the factors associated are related to parents’ and children’s health history, but also to children’s lifestyles that can be changed at home and at school.}, year = {2020} }
TY - JOUR T1 - Obesity and Risk of Comorbidity: Prevalence and Associated Factors in Children Aged 6 to 9 Years in Public and Private Schools in Douala-Cameroon AU - Ayina Ayina Clarisse Noel AU - Assomo Ndemba Peguy Brice AU - Mekoulou Ndongo Jerson AU - Bilog Nadine Carole AU - Ahmadou AU - Bindi Ngasse Josiane Gertrude AU - Etaga Noel Babayana AU - Temfemo Abdou AU - Mbanya Jean Claude AU - Sobngwi Eugène AU - Mandengue Samuel Honoré AU - Etoundi Ngoa Laurent Serge Y1 - 2020/06/20 PY - 2020 N1 - https://doi.org/10.11648/j.cajph.20200604.12 DO - 10.11648/j.cajph.20200604.12 T2 - Central African Journal of Public Health JF - Central African Journal of Public Health JO - Central African Journal of Public Health SP - 192 EP - 199 PB - Science Publishing Group SN - 2575-5781 UR - https://doi.org/10.11648/j.cajph.20200604.12 AB - Childhood obesity has unhealthy consequences, both in the short and long terms. Recently, a worrying increase in overweight and obesity in Sub-Saharan African children was reported. This study aims to determine the prevalence of obesity/overweight in public and private schools in children aged 6-9 years in the city of Douala, and identify the risk factors associated with obesity and comorbidities in this population. Parental health status; children’s birth weight, breastfeeding duration, physical activity and settles way of life data were collected using a questionnaire, and correlated to obesity and related comorbidities indexes: waist circumference (WC), Waist to Height Ratio (WtHR) and body mass index (BMI). Obesity (9%) and overweight (6.1%) were found in children, mostly in private than in public schools (13.82% versus 4.4% and 10.53% versus 1.9%; P<0.0001 respectively). Parents overweight and diabetes histories, birth weight (˃4 kg), breastfeeding duration (≤6 months), having less than 6 breakfasts a week, watching television more than 2hr/day, sleeping less than 10h/day and physical inactivity at school and home were significantly associated with obesity and related comorbidities in children (p<0.05 respectively). Overweight and obesity are a reality in these children, especially in those going to the private schools. Most of the factors associated are related to parents’ and children’s health history, but also to children’s lifestyles that can be changed at home and at school. VL - 6 IS - 4 ER -