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Body composition and anthropometric indicators as predictors of blood pressure: a cross-sectional study conducted in young Algerian adults

Published online by Cambridge University Press:  01 September 2022

Corinne Colette Dahel-Mekhancha*
Affiliation:
Institut de la Nutrition, de l’Alimentation et des Technologies Agro-Alimentaires (INATAA), Université Frères Mentouri Constantine 1 (UFMC1), route de Aïn El Bey, 25000 Constantine, Algérie Laboratoire de recherche ALimentation, NUTrition et Santé (ALNUTS), Université Salah Boubnider Constantine 3, Nouvelle ville Ali Mendjeli, 25000 Constantine, Algérie
Marie-Françoise Rolland-Cachera
Affiliation:
Sorbonne Paris Nord University, INSERM U1153, Inrae U1125, Cnam, Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Center, University of Paris (CRESS), Bobigny, France
Jérémie Botton
Affiliation:
EPI-PHARE Scientific Interest Group in Epidemiology of Health Products from the French National Agency for the Safety of Medicines and Health Products and the French National Health Insurance, Saint-Denis, France Faculty of Pharmacy, University Paris-Sud, University Paris-Saclay, F-92296 Châtenay-Malabry, France
Rabiaa Karoune
Affiliation:
Institut de la Nutrition, de l’Alimentation et des Technologies Agro-Alimentaires (INATAA), Université Frères Mentouri Constantine 1 (UFMC1), route de Aïn El Bey, 25000 Constantine, Algérie Laboratoire de recherche ALimentation, NUTrition et Santé (ALNUTS), Université Salah Boubnider Constantine 3, Nouvelle ville Ali Mendjeli, 25000 Constantine, Algérie
Ibrahim Sersar
Affiliation:
Institut de la Nutrition, de l’Alimentation et des Technologies Agro-Alimentaires (INATAA), Université Frères Mentouri Constantine 1 (UFMC1), route de Aïn El Bey, 25000 Constantine, Algérie Laboratoire de recherche ALimentation, NUTrition et Santé (ALNUTS), Université Salah Boubnider Constantine 3, Nouvelle ville Ali Mendjeli, 25000 Constantine, Algérie
Lynda Yagoubi-Benatallah
Affiliation:
Institut de la Nutrition, de l’Alimentation et des Technologies Agro-Alimentaires (INATAA), Université Frères Mentouri Constantine 1 (UFMC1), route de Aïn El Bey, 25000 Constantine, Algérie Laboratoire de recherche ALimentation, NUTrition et Santé (ALNUTS), Université Salah Boubnider Constantine 3, Nouvelle ville Ali Mendjeli, 25000 Constantine, Algérie
Ikram Bouldjedj
Affiliation:
Institut de la Nutrition, de l’Alimentation et des Technologies Agro-Alimentaires (INATAA), Université Frères Mentouri Constantine 1 (UFMC1), route de Aïn El Bey, 25000 Constantine, Algérie Laboratoire de recherche ALimentation, NUTrition et Santé (ALNUTS), Université Salah Boubnider Constantine 3, Nouvelle ville Ali Mendjeli, 25000 Constantine, Algérie
Abderraouf Benini
Affiliation:
Laboratoire de recherche ALimentation, NUTrition et Santé (ALNUTS), Université Salah Boubnider Constantine 3, Nouvelle ville Ali Mendjeli, 25000 Constantine, Algérie
Léopold K. Fezeu
Affiliation:
Sorbonne Paris Nord University, INSERM U1153, Inrae U1125, Cnam, Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Center, University of Paris (CRESS), Bobigny, France
Lahcène Nezzal
Affiliation:
Laboratoire de recherche ALimentation, NUTrition et Santé (ALNUTS), Université Salah Boubnider Constantine 3, Nouvelle ville Ali Mendjeli, 25000 Constantine, Algérie Faculté de médecine, Université Salah Boubnider, Constantine 3, Nouvelle ville Ali Mendjeli, 25000 Constantine, Algérie
Djamel-Eddine Mekhancha
Affiliation:
Institut de la Nutrition, de l’Alimentation et des Technologies Agro-Alimentaires (INATAA), Université Frères Mentouri Constantine 1 (UFMC1), route de Aïn El Bey, 25000 Constantine, Algérie Laboratoire de recherche ALimentation, NUTrition et Santé (ALNUTS), Université Salah Boubnider Constantine 3, Nouvelle ville Ali Mendjeli, 25000 Constantine, Algérie
*
*Corresponding author: Corinne Colette Dahel-Mekhancha, email corinne.dahel@umc.edu.dz

Abstract

Various body indicators are used to predict health risks. However, controversies still exist regarding the best indicators to predict CVD. Using a large number of measurements, our aim was to assess their associations with blood pressure (BP) and to identify the most relevant parameters to be used in health surveillance studies. The population included 589 students (67·2 % women) aged 20–25 years from Constantine (Algeria). Sixteen parameters were considered, including crude body measurements, ratios and body fat indicators based on bioelectrical impedance analysis (BIA). We used multi-adjusted linear regression models to assess the associations between body measurements and BP. According to WHO definitions, underweight, overweight-without obesity, obesity and hypertension (HT) were identified in 6·1, 18·0, 2·4 and 5·1 % of the subjects, respectively. Prevalence of HT was higher in men than in women (11·9 % v. 1·8 %; P < 0·001). In the whole sample, almost all indicators were positively associated with systolic and diastolic BP. The suprailiac skinfold had the strongest associations with systolic (β = 3·498; P < 0·001) and diastolic (β = 2·436; P < 0·001) BP, and as a whole, arm circumferences and weight were also good candidates. The currently used BMI, waist-to-hip, waist-to-height ratio and BIA indictors also predicted BP, but they did not seem to be better determinants of BP than crude anthropometric measurements. This study showed that overweight and HT were already found in the present population of young Algerian adults. Most body indicators were highly associated with BP, but simple anthropometric measurements appeared to be particularly useful to predict BP.

Type
Research Article
Copyright
© The Author(s), 2022. Published by Cambridge University Press on behalf of The Nutrition Society

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References

Atek, M, Traissac, P, El Ati, J, et al. (2013) Obesity and association with area of residence, gender and socio-economic factors in Algerian and Tunisian adults. PLoS One 8, e75640.CrossRefGoogle ScholarPubMed
World Health Organization (2018) Ministry of Health, Population and Hospital Reform (Algeria). Algeria STEPS Noncommunicable Disease Risk Factors Survey 2016–2017. https://www.who.int/publications/m/item/2016–2017-steps-fact-sheet-algeria (accessed July 2022).Google Scholar
Kannel, WB, Brand, N, Skinner, JJ, et al. (1967) The relation of adiposity to blood pressure and development of hypertension. The Framingham study. Ann Intern Med 67, 4859.CrossRefGoogle ScholarPubMed
Landsberg, L, Aronne, LJ, Beilin, LJ, et al. (2013) Obesity-related hypertension: pathogenesis, cardiovascular risk, and treatment: a position paper of The Obesity Society and the American Society of Hypertension. J Clin Hypertens 15, 1433.CrossRefGoogle ScholarPubMed
Botton, J, Heude, B, Kettaneh, A, et al. (2007) Cardiovascular risk factor levels and their relationships with overweight and fat distribution in children: the Fleurbaix Laventie Ville Santé II study. Metabolism 56, 614622.CrossRefGoogle ScholarPubMed
Plachta-Danielzik, S, Landsberg, B, Johannsen, M, et al. (2008) Association of different obesity indices with blood pressure and blood lipids in children and adolescents. Br J Nutr 100, 208218.CrossRefGoogle ScholarPubMed
Benmohammed, K, Valensi, P, Benlatreche, M, et al. (2015) Anthropometric markers for detection of the metabolic syndrome in adolescents. Diabetes Metab 41, 138144.CrossRefGoogle ScholarPubMed
Wühl, E (2019) Hypertension in childhood obesity. Acta Paediatr 108, 3743.CrossRefGoogle ScholarPubMed
Poobalan, A & Aucott, L (2016) Obesity among young adults in developing countries: a systematic overview. Curr Obes Rep 5, 213.CrossRefGoogle ScholarPubMed
Varela-Silva, MI, Dickinson, F, Wilson, H, et al. (2012) The nutritional dual-burden in developing countries--how is it assessed and what are the health implications? Coll Antropol 36, 3945.Google ScholarPubMed
Sardinha, LB, Teixeira, PJ, Guedes, DP, et al. (2000) Subcutaneous central fat is associated with cardiovascular risk factors in men independently of total fatness and fitness. Metab Clin Exp 49, 13791385.CrossRefGoogle ScholarPubMed
Seidell, JC, Pérusse, L, Després, JP, et al. (2001) Waist and hip circumferences have independent and opposite effects on cardiovascular disease risk factors: the Quebec Family Study. Am J Clin Nutr 74, 315321.CrossRefGoogle ScholarPubMed
Ashwell, M, Gunn, P & Gibson, S (2012) Waist-to-height ratio is a better screening tool than waist circumference and BMI for adult cardiometabolic risk factors: systematic review and meta-analysis. Obes Rev 13, 275286.CrossRefGoogle ScholarPubMed
de Koning, L, Merchant, AT, Pogue, J, et al. (2007) Waist circumference and waist-to-hip ratio as predictors of cardiovascular events: meta-regression analysis of prospective studies. Eur Heart J 28, 850856.CrossRefGoogle ScholarPubMed
Wells, JC, Williams, JE, Fewtrell, M, et al. (2007) A simplified approach to analysing bio-electrical impedance data in epidemiological surveys. Int J Obes 31, 507514.CrossRefGoogle ScholarPubMed
Dahel-Mekhancha, CC, Karoune, R, Yagoubi, L, et al. (2016) Statut pondéral et pratiques alimentaires des jeunes en Algérie (Weight status and dietary behaviours among young Algerians). Nutr Santé 5, 6980.CrossRefGoogle Scholar
World Health Organization (1995) Physical Status: the Use and Interpretation of Anthropometry. Report of a WHO Expert Committee. World Health Organization Technical Report Series no. 854. Geneva: WHO.Google Scholar
Jebb, SA, Cole, TJ, Doman, D, et al. (2000) Evaluation of the novel Tanita body-fat analyser to measure body composition by comparison with a four-compartment model. Br J Nutr 83, 115122.CrossRefGoogle ScholarPubMed
World Health Organization (1993) Guidelines for the management of mild hypertension: memorandum from a WHO/ISH meeting. Bull World Health Organ 71, 503517.Google Scholar
Peltz, G, Aguirre, MT, Sanderson, M, et al. (2010) The role of fat mass index in determining obesity. Am J Hum Biol 22, 639647.CrossRefGoogle ScholarPubMed
Sersar, I, Mekhancha, DE, Vuillemin, A, et al. (2019) Association de l’activité physique et du sommeil avec la composition corporelle des étudiants universitaires algériens (Association of physical activity and sleep with body composition in Algerian students). Sci Sports 34, 7381.CrossRefGoogle Scholar
Yahia, N, Achkar, A, Abdallah, A, et al. (2008) Eating habits and obesity among Lebanese university students. Nutr J 7, 32.CrossRefGoogle ScholarPubMed
Verdot, EC, Torres, M, Salanave, B, et al. (2017) Corpulence des enfants et des adultes en France métropolitaine en 2015 (Corpulence of adults and children in France in 2015: Results of the ESTEBAN study and changes since 2006). Résultats de l’étude Esteban et évolution depuis 2006. Bull Épidémiologique Hébdomadaire 13, 234241.Google Scholar
Pengpid, S & Peltzer, K (2021) Underweight and overweight/obesity among adults in Afghanistan: prevalence and correlates from a national survey in 2018. J Health Popul Nutr 40, 25.CrossRefGoogle ScholarPubMed
Ramírez-Vélez, R, Correa-Bautista, JE, Sanders-Tordecilla, A, et al. (2017) Percentage of body fat and fat mass index as a screening tool for metabolic syndrome prediction in Colombian University students. Nutrients 9, 1009.CrossRefGoogle ScholarPubMed
Rolland-Cachera, MF, Maillot, M, Deheeger, M, et al. (2013) Association of nutrition in early life with body fat and serum leptin at adult age. Int J Obes 37, 11161122.CrossRefGoogle ScholarPubMed
Bahchachi, N, Mekhancha, CC, Nezzal, L, et al. (2007) Nutritional status in Algerian and French young adults assessed using BMI and bio-impedance. Obes Rev 8, 142.Google Scholar
Mammeri, A & Tebaibia, A (2020) Cardiometabolic risk in Algeria: past and present. Intern Emerg Med 15, 531535.CrossRefGoogle ScholarPubMed
Benini, A, Nezzal, L, Mekhancha, DE, et al. (2017) Étude de cohorte des travailleurs postés diabétiques d’une entreprise algérienne (1995–2014) (Cohort study of diabetic shift workers in an Algerian company (1995-2014)). Médecine Maladies Métaboliques 5, 300306.CrossRefGoogle Scholar
Lara, M, Bustos, P, Amigo, H, et al. (2012) Is waist circumference a better predictor of blood pressure, insulin resistance and blood lipids than body mass index in young Chilean adults? BMC Public Health 12, 638.CrossRefGoogle ScholarPubMed
NCD Risk Factor Collaboration (NCD-RisC) (2018) Contributions of mean and shape of blood pressure distribution to worldwide trends and variations in raised blood pressure: a pooled analysis of 1018 population-based measurement studies with 88·6 million participants. Int J Epidemiol 47, 872883.CrossRefGoogle Scholar
Brouri, M, Ouadahi, N, Nibouche, D, et al. (2018) Facteurs de risque cardio-vasculaires en Algérie. Une analyse du sous-groupe de l’étude « Africa/Middle East Cardiovascular Epidemiological » (Cardiovascular risk factors in Algeria. Analysis of the subgroup from the ‘Africa/Middle East Cardiovascular Epidemiological’ Study). Annales Cardiologie D’angeiologie 67, 6166.CrossRefGoogle ScholarPubMed
Sebati, B, Monyeki, K, Kemper, H, et al. (2019) Anthropometric indices for predicting cardiovascular risk factors: Ellisras longitudinal study. Am J Hum Biol 31, e23293.CrossRefGoogle ScholarPubMed
Bertsias, G, Mammas, I, Linardakis, M, et al. (2003) Overweight and obesity in relation to cardiovascular disease risk factors among medical students in Crete, Greece. BMC Public Health 3, 3.CrossRefGoogle ScholarPubMed
Gerber, LM, Schwartz, JE, Schnall, PL, et al. (1995) Body fat and fat distribution in relation to sex differences in blood pressure. Am J Hum Biol 7, 173182.CrossRefGoogle ScholarPubMed
Vague, J (1956) The degree of masculine differentiation of obesities: a factor determining predisposition to diabetes, atherosclerosis, gout, and uric calculous disease. Am J Clin Nutr 4, 2034.CrossRefGoogle ScholarPubMed
Doll, S, Paccaud, F, Bovet, P, et al. (2002) Body mass index, abdominal adiposity and blood pressure: consistency of their association across developing and developed countries. Int J Obes Relat Metab Disord 26, 4857.CrossRefGoogle ScholarPubMed
Fezeu, L, Balkau, B, Sobngwi, E, et al. (2010) Waist circumference and obesity-related abnormalities in French and Cameroonian adults: the role of urbanization and ethnicity. Int J Obes 34, 446453.CrossRefGoogle ScholarPubMed
Després, JP & Lemieux, I (2006) Abdominal obesity and metabolic syndrome. Nature 444, 881887.CrossRefGoogle ScholarPubMed
Roche, AF, Sievogel, RM, Chumlea, WC, et al. (1981) Grading body fatness from limited anthropometric data. Am J Clin Nutr 34, 28312838.CrossRefGoogle ScholarPubMed
Shifraw, T, Selling, K, Worku, A, et al. (2021) Mid-upper arm circumference for identifying adult overweight in large-scale population-based surveys: empirical evaluation using data of the EAT Addis study, Ethiopia. BMJ Open 11, e049602.CrossRefGoogle ScholarPubMed
Barker, DJ, Osmond, C, Forsén, TJ, et al. (2005) Trajectories of growth among children who have coronary events as adults. N Engl J Med 353, 18021809.CrossRefGoogle ScholarPubMed
Farajian, P, Renti, E & Manios, Y (2008) Obesity indices in relation to cardiovascular disease risk factors among young adult female students. Br J Nutr 99, 918924.CrossRefGoogle ScholarPubMed
Katzmarzyk, PT, Heymsfield, SB & Bouchard, C (2013) Clinical utility of visceral adipose tissue for the identification of cardiometabolic risk in white and African American adults. Am J Clin Nutr 97, 480486.CrossRefGoogle ScholarPubMed
Spiegelman, D, Israel, RG, Bouchard, C, et al. (1992) Absolute fat mass, percent body fat, and body-fat distribution: which is the real determinant of blood pressure and serum glucose? Am J Clin Nutr 55, 10331044.CrossRefGoogle ScholarPubMed
International conference on the processes of Bologne (2018) Mr. Tahar Hadjar Presents in Paris the Many Algerian Achievements in Higher Education https://amb-algerie.fr/4623/m-tahar-hadjar-presente-a-paris-les-nombreuses-realisations-algeriennes-dans-lenseignement-superieur/ (accessed July 2022).Google Scholar