Effects of a Community-Based Intervention on the Lifestyle and Health of People at Risk of Type 2 Diabetes in Benin — Oak Academic Publishing
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Effects of a Community-Based Intervention on the Lifestyle and Health of People at Risk of Type 2 Diabetes in Benin
Health Promotion Department, Regional Institute of Public Health, University of Abomey-Calavi, Abomey-Calavi, Benin
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Health Promotion Department, Regional Institute of Public Health, University of Abomey-Calavi, Abomey-Calavi, Benin
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Health Promotion Department, Regional Institute of Public Health, University of Abomey-Calavi, Abomey-Calavi, Benin
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Laboratory Sports Performance, Health And Evaluation, National Institute of Youth, Physical Education And Sport (Injeps), University of Abomey-Calavi (Uac), Porto-Novo, Benin
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Health Promotion Department, Regional Institute of Public Health, University of Abomey-Calavi, Abomey-Calavi, Benin
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Health Promotion Department, Regional Institute of Public Health, University of Abomey-Calavi, Abomey-Calavi, Benin
1 Health Promotion Department, Regional Institute of Public Health, University of Abomey-Calavi, Abomey-Calavi, Benin
2 Health Promotion Department, Regional Institute of Public Health, University of Abomey-Calavi, Abomey-Calavi, Benin
3 Health Promotion Department, Regional Institute of Public Health, University of Abomey-Calavi, Abomey-Calavi, Benin
4 Laboratory Sports Performance, Health And Evaluation, National Institute of Youth, Physical Education And Sport (Injeps), University of Abomey-Calavi (Uac), Porto-Novo, Benin
5 Health Promotion Department, Regional Institute of Public Health, University of Abomey-Calavi, Abomey-Calavi, Benin
6 Health Promotion Department, Regional Institute of Public Health, University of Abomey-Calavi, Abomey-Calavi, Benin
Introduction : Worldwide, the prevalence of type 2 diabetes (T2D) is increasing at an epidemic rate. The objective of this study was to measure the effects on lifestyle intervention in subjects at risk of T2D in a West African country. Methods : This study involved Beninese adults at risk of T2D randomly selected from 2 groups of villages: control villages and villages exposed to nutrition education, cooking demonstrations and physical activity sessions. Anthropometric, clinical, and biological measurements were taken in both groups at the beginning and end of the intervention, which lasted 12 months. The paired sample t-test was used to assess the effect of the intervention on the lifestyle of people at risk of T2D. Results : After 12 months of exposure to nutrition education, cooking demonstrations and physical activity sessions in the intervention villages, the mean body mass index, waist circumference, body fat percentage, blood glucose, triglycerides, total cholesterol and amount of alcohol consumed per week had significantly decreased. Conversely, the mean intensity of physical activity and food consumption score had significantly increased. In the control group, 5.6% of the people at risk developed to diabetes. The relative risk was RR = 0 . 20 [0 . 14 - 0 . 56]. Conclusion : The intervention significantly improved metabolic indicators, intensity of leisure activity and dietary score. We suggest larger studies to better assess the effect of community-based interventions on the lifestyle and health of people at risk of T2D in Africa.
KeywordsEffectsPrimary PreventionPeople at Risk of Type 2 DiabetesBenin
Wheeler, M.L., Delahanty, L. and Wylie-Rosettc, J. (1987) Diet and Exercise in Noninsulin-Dependent Diabetes Mellitus: Implications for Dietitians from the NIH Consensus Development Conference. Journal of the American Dietetic Association, 84, 480-485. https://doi.org/10.1016/S0002-8223(21)03140-0
Jeong, Y., Lee, E., Park, Y.J., Kwon, O. and Kim, Y. (2020) A Review of Recent Evidence from Meal-Based Diet Interventions and Clinical Biomarkers for Improvement of Glucose Regulation. Preventive Nutrition and Food Science, 25, 900-924. https://doi.org/10.3746/pnf.2020.25.1.9
Williams, R., Karuranga, S., Malanda, B., Saeedi, P., Basit, A., Besancon, S., et al. (2020) Global and Regional Estimates and Projections of Diabetes-Related Health Expenditure: Results from the International Diabetes Federation Diabetes Atlas, 9th Edition. Diabetes Research and Clinical Practice, 162, Article ID: 108072. https://doi.org/10.1016/j.diabres.2020.108072
Valsesia, A., Saris, W.H., Astrup, A., Hager, J. and Masoodi, M. (2016) Distinct Lipid Profiles Predict Improved Glycemic Control in Obese, Nondiabetic Patients after a Low-Caloric Diet Intervention: The Diet, Obesity and Genes Randomized Trial. The American Journal of Clinical Nutrition, 104, 566-575. https://doi.org/10.3945/ajcn.116.137646
Angermayr, L., Melchart, D. and Linde, K. (2010) Multifactorial Lifestyle Interventions in the Primary and Secondary Prevention of Cardiovascular Disease and Type 2 Diabetes Mellitus—A Systematic Review of Randomized Controlled Trials. Annals of Behavioral Medicine, 40, 49-64. https://doi.org/10.1007/s12160-010-9206-4
Merlotti, C., Morabito, A. and Pontiroli, A.E. (2014) Prevention of Type 2 Diabetes: A Systematic Review and Meta-Analysis of Different Intervention Strategies. Diabetes Obesity and Metabolism, 16, 719-727. https://doi.org/10.1111/dom.12270
Pengpid, S., Peltzer, K. and Skaal, K. (2014) Efficacy of a Church-Based Lifestyle Intervention Programme to Control High Normal Blood Pressure and/or High Normal Blood Glucose in Church Members: A Randomized Controlled Trial in Pretoria, South Africa. BMC Public Health, 14, Article No. 568. https://doi.org/10.1186/1471-2458-14-568
Porrata-Maury, C., Hernández-Triana, M., Ruiz-álvarez, V., Díaz-Sánchez, M.E., Fallucca, F., Bin, W., et al. (2014) Ma-Pi 2 Macrobiotic Diet and Type 2 Diabetes Mellitus: Pooled Analysis of Short-Term Intervention Studies. Diabetes/Metabolism Research and Reviews, 30, 55-66. https://doi.org/10.1002/dmrr.2519
Metonnou-Adanhoume, C.G., Sossa, J.C., Azandjeme, C.S., Durieux, V., Paraiso, N.M. and Bio Nigan, I. (2020) Evaluation of Interventions for Primary Prevention of Type 2 Diabetes in At-Risk Subjects in Africa: A Systematic Review. EC-Nutrition, 15, 39-50.
Institut National de la Statistique et de l’Analyse Economique (2016) Effectifs de la population des villages et Quartiers de ville du Bénin (RGPH-4, 2013). INSAE, Cotonou, 85.
Kora, O. and Guidibi, E. (2006) Monographie de la commune de Tchaourou. Afrique Conseil, Cotonou, 45.
Ahoui, S., Vigan, J. and Albert, C. (2014) Prevalence des facteurs de risque de la maladie renale chronique dans les departements du Borgou et de l’Alibori au Benin. Open Journal of Nephrology, 4, 131-141.
Masconi, K.L., Matsha, T.E. and Echouffo-Tcheugui, J.B. (2015) Validation of the Finnish Diabetes Risk Score (Findrisc) for Diabetes Screening in the Belgian Population. Predictive, Preventive and Personalised Medicine, 6, 1-11.
Booth, G.L., Kapral, M.K., Fung, K. and Tu, J.V. (2006) Relation between Age and Cardiovascular Disease in Men and Women with Diabetes Compared with Non-Diabetic People: A Population-Based Retrospective Cohort Study. Lancet, 368, 29-36. https://doi.org/10.1016/S0140-6736(06)68967-8
Lemeshow, S., Hosmer Jr., D.W., Klar, J. and Lwanga, S.K. (1990) Adequacy of Sample Size in Health Studies. Technical Report Series, Number 336 of 1966.
Sossa, C., Delisle, H., Agueh, V., Sodjinou, R., Ntandou, G. and Makoutodé, M. (2013) Lifestyle and Dietary Factors Associated with the Evolution of Cardiometabolic Risk over Four Years in West-African Adults: The Benin Study. Journal of Obesity, 2013, Article ID: 298024. https://doi.org/10.1155/2013/298024
Sosner, P., Bosquet, L., Herpin, D., Guilbeault, D., Latour, E., Paquette-Tannir, L., et al. (2016) Net Blood Pressure Reduction Following 9 Months of Lifestyle and High-Intensity Interval Training Intervention in Individuals with Abdominal Obesity. The Journal of Clinical Hypertension, 18, 1128-1134. https://doi.org/10.1111/jch.12829
Eriksson, C., Hilding, A., Pyko, A., Bluhm, G., Pershagen, G. and Ostenson, C.G. (2014) Long-Term Aircraft Noise Exposure and Body Mass Index, Waist Circumference, and Type 2 Diabetes: A Prospective Study. Environmental Health Perspective, 122, 687-694. https://doi.org/10.1289/ehp.1307115
World Health Organization (2006) Definition and Diagnosis of Diabetes Mellitus and Intermediate Hyperglycaemia: Report of a WHO/IDF Consultation.
Feldman, R.D., Campbell, N., Larochelle, P., Bolli, P., Burgess, E.D. and Carruthers, E.S.G. (1999) Canadian Recommendations for the Management of Hypertension. Canadian Medical Association Journal, 161, S1-S17.
Fulop, T., Tessier, D. and Carpentier, A. (2006) The Metabolic Syndrome. Pathologie Biologie, 54, 375-386. https://doi.org/10.1016/j.patbio.2006.07.002
Assmann, G., Buono, P., Daniele, A., Della, A., Valle, E.D., Farinaro, E., Ferns, G., et al. (2014) Functional Foods and Cardiometabolic Diseases: International Task Force for Prevention of Cardiometabolic Diseases. Nutrition, Metabolism and Cardiovascular Diseases, 24, 1272-1300. https://doi.org/10.1016/j.numecd.2014.10.010
Friedewald, W.T., Levy, R.I. and Fredrickson, D.S. (1972) Estimation of the Concentration of Low-Density Lipoprotein Cholesterol in Plasma, without Use of the Preparative Ultracentrifuge. Clinical Chemistry, 18, 499-502. https://doi.org/10.1093/clinchem/18.6.499
Cogill, B. (2003) Anthropometric Indicators Measurement, Guide. Food and Nutrition Technical Assistance Project, Academy for Educational Development, Washington DC.
Lohman, T.G., Roche, A.F. and Martorell, R. (1988) Anthropometric Standardization Reference Manual. Human Kinetics Books, Champaign, Illinois.
World Health Organization (2000) Obesity: Preventing and Managing the Global Epidemic. WHO Technical Report Series, 894.
Lohman, T.G., Roche, A.F. and Martorell, R. (1988) Anthropometric Standardization Reference Manual. Human Kinetics, Champaign.
International Diabetes Federation (2006) The IDF Consensus Worldwide Definition of the Metabolic Syndrome. Brussels, Belgium.
Organisation Mondiale de la Santé (2003) Régime alimentaire, nutritition et prévention des maladies chroniques. Rapport d’une consultation OMS/FAO d’experts.
Ainsworth, B.E., Haskell, W.L., Whitt, M.C., Irwin, M.L., Swartz, A.M., Strath, S.J., et al. (2000) Compendium of Physical Activities: An Update of Activity Codes and MET Intensities. Medicine & Science in Sports & Exercise, 32, S498-S504. https://doi.org/10.1097/00005768-200009001-00009
Di Castelnuovo, A., Costanzo, S., di Giuseppe, R., de Gaetano, G. and Iacoviello, L. (2009) Alcohol Consumption and Cardiovascular Risk: Mechanisms of Action and Epidemiologic Perspectives. Future Cardiology, 5, 467-477. https://doi.org/10.2217/fca.09.36
Programme National de Lutte contre les Maladies Non Transmissibles (2009) Rapport final de l’enquête pour la surveillance des facteurs de risque des maladies non transmissibles par l’approche “STEPSwise” de l’OMS au Bénin. PNLMT, Cotonou, 152 p.
Bennasar-Veny, M., Fresneda, S., Lopez-Gonzalez, A., Busquets-Cortès, C., Aguilo, A. and Yahel, A.M. (2020) Lifestyle and Progression to Type 2 Diabetes in a Cohort of Workers with Prediabetes. Nutrients, 12, Article No. 1538. https://doi.org/10.3390/nu12051538
Metonnou, C.G., Azandjeme, C.S., Bio Nigan, I., Sossa, C., Sooh, G.E., Paraiso, M.N. and Agueh, V. (2020) Modifiable Behavioral Risk Factors Associated with Biological Risk Factors in Subjects at Risk of Type 2 Diabetes in Benin: PREDIBE Study. Open Journal of Epidemiology, 10, 432-445. https://doi.org/10.4236/ojepi.2020.104034
Thankappan, K.R., Sathish, T., Tapp, R.J., Shaw, J.E., Lotfaliany, M., Wolfe, R., et al. (2018) A Peer-Support Lifestyle Intervention for Preventing Type 2 Diabetes in India: A Cluster-Randomized Controlled Trial of the Kerala Diabetes Prevention Program. PLOS Medicine, 15, e1002575. https://doi.org/10.1371/journal.pmed.1002575
Choi, S.I., Chung, D., Lim, J.S., Lee, M.Y., Shin, J.Y., Chung, C.H. and Huh, J.H. (2017) Relationship between Regional Body Fat Distribution and Diabetes Mellitus: 2008 to 2010 Korean National Health and Nutrition Examination Surveys. Diabetes & Metabolism Journal, 41, 51-59. https://doi.org/10.4093/dmj.2017.41.1.51
O’Neill, B.J. (2020) Effect of Low-Carbohydrate Diets on Cardiometabolic Risk, Insulin Resistance, and Metabolic Syndrome. Current Opinion in Endocrinology, Diabetes, and Obesity, 27, 301-307. https://doi.org/10.1097/MED.0000000000000569
Westman, E.C. and Yancy, W.S. (2020) Using a Low-Carbohydrate Diet to Treat Obesity and Type 2 Diabetes Mellitus. Current Opinion in Endocrinology, Diabetes and Obesity, 27, 255-260. https://doi.org/10.1097/MED.0000000000000565
Spiller, S., Blüher, M. and Hoffmann, R. (2018) Plasma Levels of Free Fatty Acids Correlate with Type 2 Diabetes Mellitus. Diabetes, Obesity and Metabolism, 20, 2661-2669. https://doi.org/10.1111/dom.13449
Hu, F.B., Manson, J.E., Stampfer, M.J., Colditz, G., Liu, S., Solomon, C.G., et al. (2001) Diet, Lifestyle, and the Risk of Type 2 Diabetes Mellitus in Women. New England Journal of Medicine, 345, 790-797. https://doi.org/10.1056/NEJMoa010492
Wong, J.E., Parnell, W.R., Howe, A.S., Lubransky, A.C., Black, K.E. and Skidmore, P.M. (2015) Diet Quality Is Associated with Measures of Body Fat in Adolescents from Otago, New Zealand. Public Health Nutrition, 18, 1453-1460. https://doi.org/10.1017/S1368980014001645
Feng, R.N., Zhao, C., Wang, C., Niu, Y.C., Li, K., Guo, F.C., et al. (2012) BMI Is Strongly Associated with Hypertension, and Waist Circumference Is Strongly Associated with Type 2 Diabetes and Dyslipidemia, in Northern Chinese Adults. Journal of Epidemiology, 22, 317-323. https://doi.org/10.2188/jea.JE20110120
Stafee, I., Podkuychenko, N., Michurina, S., Sklyanik, I., Panevina, A., Shestakova, E., et al. (2019) Low Proliferative Potential of Adipose-Derived Stromal Cells Associates with Hypertrophy and Inflammation in Subcutaneous and Omental Adipose Tissue of Patients with Type 2 Diabetes Mellitus. Journal of Diabetes and Its Complications, 33, 148-159. https://doi.org/10.1016/j.jdiacomp.2018.10.011
Taheri, S., Zaghloul, H., Chagoury, O., Elhadad, S., Ahmed, S.H., El Khatib, N., et al. (2020) Effect of Intensive Lifestyle Intervention on Bodyweight and Glycaemia in Early Type 2 Diabetes (DIADEM-I): An Open-Label, Parallel-Group, Randomised Controlled Trial. The Lancet Diabetes & Endocrinology, 8, 477-489. https://doi.org/10.1016/S2213-8587(20)30117-0
Gregg, E.W., Chen, H., Wagenknecht, L.E., Clark, J.M., Delahanty, L.M., Bantle, I., et al. (2012) Association of an Intensive Lifestyle Intervention with Remission of Type 2 Diabetes. JAMA, 308, 2489-2496. https://doi.org/10.1001/jama.2012.67929
Dagogo-Jack, S., Brewer, A.A., Owei, I., French, L., Umekwe, N., Rosenthal, R., et al. (2020) Pathobiology and Reversibility of Prediabetes in a Biracial Cohort (PROP-ABC) Study: Design of Lifestyle Intervention. BMJ Open Diabetes Research and Care, 8, e00089. https://doi.org/10.1136/bmjdrc-2019-000899
Kadayifci, F.Z., Haggard, S., Jeon, S., Ranard, K., Tao, D. and Pan, Y.X. (2019) Early-Life Programming of Type 2 Diabetes Mellitus: Understanding the Association between Epigenetics/Genetics and Environmental Factors. Current Genomics, 20, 453-463. https://doi.org/10.2174/1389202920666191009110724
Fardet, A. (2014) Procédés technologiques, valeurs santé des aliments, et diabète de type 2. Médecine des Maladies Métaboliques, 8, 608-611. https://doi.org/10.1016/S1957-2557(14)70890-9
Shah, M. and Garg, A. (2019) The Relationships between Macronutrient and Micronutrient Intakes and Type 2 Diabetes Mellitus in South Asians: A Review. Journal of Diabetes and Its Complications, 33, 500-550. https://doi.org/10.1016/j.jdiacomp.2019.04.010
Munan, M., Dyck, R.A., Houlder, S., Yardley, J.E., Prado, C.M., Snydmiller, G., et al. (2020) Does Exercise Timing Affect 24-Hour Glucose Concentrations in Adults with Type 2 Diabetes? A Follow Up to the Exercise-Physical Activity and Diabetes Glucose Monitoring Study. Canadian Journal of Diabetes, 44, 711-718. https://doi.org/10.1016/j.jcjd.2020.05.012
Pedersen, L.R., Olsen, R.H., Anholm, C., Astrup, A., Eugen-Olsen, J., Fenger, M., et al. (2019) Effects of 1 Year of Exercise Training versus Combined Exercise Training and Weight Loss on Body Composition, Low-Grade Inflammation and Lipids in Overweight Patients with Coronary Artery Disease: A Randomized Trial. Cardiovascular Diabetology, 18, Article No. 127. https://doi.org/10.1186/s12933-019-0934-x
Yarizadeh, H., Eftekhar, R., Anjom-Shoae, J., Speakman, J.R. and Djafarian, K. (2021) The Effect of Aerobic and Resistance Training and Combined Exercise Modalities on Subcutaneous Abdominal Fat: A Systematic Review and Meta-Analysis of Randomized Clinical Trials. Advances in Nutrition, 12, 179-196. https://doi.org/10.1093/advances/nmaa090
Welty, F.K. (2020) Dietary Treatment to Lower Cholesterol and Triglyceride and Reduce Cardiovascular Risk. Current Opinion in Lipidology, 31, 206-231. https://doi.org/10.1097/MOL.0000000000000689
Al-Daghri, N.M., Alfawaz, H., Aljohani, N.J., Al-Saleh, Y., Wani, K., Alnaami, A.M., et al. (2014) A 6-Month “Self-Monitoring” Lifestyle Modification with Increased Sunlight Exposure Modestly Improves Vitamin D Status, Lipid Profile and Glycemic Status in Overweight and Obese Saudi Adults with Varying Glycemic Levels. Lipids in Health and Disease, 13, Article No. 87. https://doi.org/10.1186/1476-511X-13-87
Diendéré, J., Zeba, A.N., Nikièma, L., Kaboré, A., Savadogo, P.W., Tougma, S.J.B., et al. (2020) Smokeless Tobacco Use: Its Prevalence and Relationships with Dental Symptoms, Nutritional Status and Blood Pressure among Rural Women in Burkina Faso. BMC Public Health, 20, Article No. 579. https://doi.org/10.1186/s12889-020-08700-x
Sinclair, A., Saeedi, P., Kaundal, A., Karuranga, S., Mala, B. and Williams, R. (2020) Diabetes and Global Ageing among 65-99-Year-Old Adults: Findings from the International Diabetes Federation Diabetes Atlas. Diabetes Research and Clinical Practice, 162, Article ID: 108078. https://doi.org/10.1016/j.diabres.2020.108078
Visaria, J., Iyer, N.N., Raval, A.D., Kong, S.X., Hobbs, T., Bouchard, J., et al. (2020) Healthcare Costs of Diabetes and Microvascular and Macrovascular Disease in Individuals with Incident Type 2 Diabetes Mellitus: A Ten-Year Longitudinal Study. ClinicoEconomics and Outcomes Research, 12, 423-434. https://doi.org/10.2147/CEOR.S247498