Clustering of Elevated Blood Pressure, Elevated Blood Glucose, and Abdominal Obesity Among Adults in Dire Dawa: A Community-Based Cross-Sectional Study

References

• WHO. Noncommunicable diseases; 2018 [cited April 30, 2020]. Available from: https://www.who.int/news-room/fact-sheets/detail/noncommunicable-diseases.
   Google Scholar
• Stanaway JD, Afshin A, Gakidou E, et al. Global, regional, and national comparative risk assessment of 84 behavioural, environmental and occupational, and metabolic risks or clusters of risks for 195 countries and territories, 1990–2017: a systematic analysis for the global burden of disease study 2017. Lancet. 2018;392(10159):1923–1994.
   PubMed Web of Science ®Google Scholar
• Gouda HN, Charlson F, Sorsdahl K, et al. Burden of non-communicable diseases in sub-Saharan Africa, 1990–2017: results from the global burden of disease study 2017. Lancet Glob Health. 2019;7(10):e1375–e87. doi:10.1016/S2214-109X(19)30374-2
   PubMed Web of Science ®Google Scholar
• Alsheikh-Ali AA, Omar MI, Raal FJ, et al. Cardiovascular risk factor burden in Africa and the Middle East: the Africa Middle East cardiovascular epidemiological (ACE) study. PLoS One. 2014;9(8):e102830. doi:10.1371/journal.pone.0102830
   PubMedGoogle Scholar
• Krzesiński P, Stańczyk A, Piotrowicz K, Gielerak G, Uziębło-Zyczkowska B, Skrobowski A. Abdominal obesity and hypertension: a double burden to the heart. Hypertens Res. 2016;39(5):349–355. doi:10.1038/hr.2015.145
   PubMedGoogle Scholar
• Patel SA, Ali MK, Alam D, et al. Obesity and its relation with diabetes and hypertension: a cross-sectional study across 4 geographical regions. Glob Heart. 2016;11(1):71–9.e4. doi:10.1016/j.gheart.2016.01.003
   PubMed Web of Science ®Google Scholar
• Niu J, Seo D-C. Central obesity and hypertension in Chinese adults: a 12-year longitudinal examination. Prev Med. 2014;62:113–118. doi:10.1016/j.ypmed.2014.02.012
   PubMed Web of Science ®Google Scholar
• Alberti K, Eckel Robert H, Grundy Scott M, et al. Harmonizing the metabolic syndrome. Circulation. 2009;120(16):1640–1645. doi:10.1161/CIRCULATIONAHA.109.192644
   PubMed Web of Science ®Google Scholar
• Ezenwaka CE, Okoye O, Esonwune C, et al. High prevalence of abdominal obesity increases the risk of the metabolic syndrome in Nigerian type 2 diabetes patients: using the international diabetes federation worldwide definition. Metab Syndr Relat Disord. 2014;12(5):277–282. doi:10.1089/met.2013.0139
   PubMedGoogle Scholar
• Prakaschandra R, Naidoo DP. Increased waist circumference is the main driver for the development of the metabolic syndrome in South African Asian Indians. Diabetes Metab Syndr. 2017;11:S81–S5. doi:10.1016/j.dsx.2016.12.011
   PubMedGoogle Scholar
• Jaspers Faijer-Westerink H, Kengne AP, Meeks KAC, Agyemang C. Prevalence of metabolic syndrome in sub-Saharan Africa: a systematic review and meta-analysis. Nutr Metab Cardiovasc Dis. 2020;30(4):547–565. doi:10.1016/j.numecd.2019.12.012
   PubMed Web of Science ®Google Scholar
• Li X, Li X, Fang F, Fu X, Lin H, Gao Q. Is metabolic syndrome associated with the risk of recurrent stroke: a meta-analysis of cohort studies. J Stroke Cerebrovasc Dis. 2017;26(12):2700–2705. doi:10.1016/j.jstrokecerebrovasdis.2017.03.014
   PubMedGoogle Scholar
• Rashidbeygi E, Safabakhsh M, Delshad Aghdam S, Mohammed SH, Alizadeh S. Metabolic syndrome and its components are related to a higher risk for albuminuria and proteinuria: evidence from a meta-analysis on 10,603,067 subjects from 57 studies. Diabetes Metab Syndr. 2019;13(1):830–843. doi:10.1016/j.dsx.2018.12.006
   PubMedGoogle Scholar
• Gobal F, Deshmukh A, Shah S, Mehta JL. Triad of metabolic syndrome, chronic kidney disease, and coronary heart disease with a focus on microalbuminuria: death by overeating. J Am Coll Cardiol. 2011;57(23):2303–2308. doi:10.1016/j.jacc.2011.02.027
   PubMed Web of Science ®Google Scholar
• Bigna JJ, Noubiap JJ. The rising burden of non-communicable diseases in sub-Saharan Africa. Lancet Glob Health. 2019;7(10):e1295–e6. doi:10.1016/S2214-109X(19)30370-5
   PubMed Web of Science ®Google Scholar
• Hossain P, Kawar B, El Nahas M. Obesity and diabetes in the developing world — a growing challenge. N Engl J Med. 2007;356(3):213–215. doi:10.1056/NEJMp068177
   PubMed Web of Science ®Google Scholar
• WHO. Geneva, Switzerland: Global action plan for the prevention and control of noncommunicable diseases 2013–2020; 2013 [cited April 30, 2020]. Available from: https://www.who.int/nmh/events/ncd_action_plan/en/.
   Google Scholar
• Nyaaba GN, Stronks K, De-graft Aikins A, Kengne AP, Agyemang C. Tracing Africa’s progress towards implementing the non-communicable diseases global action plan 2013–2020: a synthesis of WHO country profile reports. BMC Public Health. 2017;17(1):297. doi:10.1186/s12889-017-4199-6
   PubMedGoogle Scholar
• WHO Regional Office for Africa. Noncommunicable diseases country profiles; 2014. Available from: https://www.afro.who.int/health-topics/noncommunicable-diseases. Accessed May 30, 2020.
   Google Scholar
• Girum T, Mesfin D, Bedewi J, Shewangizaw M. The burden of noncommunicable diseases in Ethiopia, 2000–2016: analysis of evidence from global burden of disease study 2016 and global health estimates 2016. Int J Chronic Dis. 2020;2020:3679528. doi:10.1155/2020/3679528
   PubMedGoogle Scholar
• Kibret KT, Mesfin YM. Prevalence of hypertension in Ethiopia: a systematic meta-analysis. Public Health Rev. 2015;36(1):14. doi:10.1186/s40985-015-0014-z
   PubMedGoogle Scholar
• Tesfaye B, Alebel A, Gebrie A, et al. Diabetes mellitus and its association with hypertension in ethiopia: a systematic review and meta-analysis. Diabetes Res Clin Pract. 2019:156.
   Google Scholar
• Gebreyes YF, Goshu DY, Geletew TK, et al. Prevalence of high bloodpressure, hyperglycemia, dyslipidemia, metabolic syndrome and their determinants in Ethiopia: evidences from the national NCDs STEPS survey, 2015. PLoS One. 2018;13(5):e0194819. doi:10.1371/journal.pone.0194819
   PubMed Web of Science ®Google Scholar
• Birarra MK, Gelayee DA. Metabolic syndrome among type 2 diabetic patients in Ethiopia: a cross-sectional study. BMC Cardiovasc Disord. 2018;18(1):149. doi:10.1186/s12872-018-0880-7
   PubMedGoogle Scholar
• Kassa A, Woldesemayat EM. Hypertension and diabetes mellitus among patients at hawassa university comprehensive specialized hospital, Hawassa, Southern Ethiopia. Int J Chronic Dis. 2019;2019:8. doi:10.1155/2019/2509242
   Google Scholar
• World, population review. Population of cities in Ethiopia; 2018. Available from: http://worldpopulationreview.com/countries/ethiopia-population/cities/. Accessed May 30, 2020.
   Google Scholar
• Dean AG, Sullivan KM, MM S. OpenEpi: Open Source Epidemiologic Statistics for Public Health. Atlanta, USA: Emory University; 2009.
   Google Scholar
• Workalemahu T, Gelaye B, Berhane Y, Williams MA. Physical activity and metabolic syndrome among Ethiopian adults. Am J Hypertens. 2013;26(4):535–540. doi:10.1093/ajh/hps079
   PubMedGoogle Scholar
• WHO. WHO STEPwise approach to chronic disease risk factor surveillance- instrument v2.1. Available from: www.who.int/ncds/surveillance/steps/STEPS_Instrument_v2.1.pdf. Accessed May 30, 2020.
   Google Scholar
• WHO. Body mass index-BMI: World Health Organization, regional office for Europe. Available from: http://www.euro.who.int/en/health-topics/disease-prevention/nutrition/a-healthy-lifestyle/body-mass-index-bmi. Accessed May 30, 2020.
   Google Scholar
• Mengesha MM, Roba HS, Ayele BH, Beyene AS. Level of physical activity among urban adults and the socio-demographic correlates: a population-based cross-sectional study using the global physical activity questionnaire. BMC Public Health. 2019;19(1):1160. doi:10.1186/s12889-019-7465-y
   PubMedGoogle Scholar
• WHO. The WHO STEPwise approach to noncommunicable disease risk factor surveillance: WHO STEPS surveillance manual. Phys Act. 2017.
   Google Scholar
• Azur MJ, Stuart EA, Frangakis C, Leaf PJ. Multiple imputation by chained equations: what is it and how does it work? Int J Methods Psychiatr Res. 2011;20(1):10. doi:10.1002/mpr.329
   PubMedGoogle Scholar
• Sankoh O, Sharrow D, Herbst K, et al. The INDEPTH standard population for low- and middle-income countries, 2013. Glob Health Action. 2014;7(1):6. doi:10.3402/gha.v7.23286
   Google Scholar
• Coutinho LMS, Scazufca M. Menezes PR methods for estimating prevalence ratios in cross-sectional studies. Rev Saúde Pública. 2008;42(6):992–8.
   PubMed Web of Science ®Google Scholar
• Cheung BMY, Wat NMS, Tam S, et al. Components of the metabolic syndrome predictive of its development: a 6-year longitudinal study in Hong Kong Chinese. Clin Endocrinol (Oxf). 2008;68(5):730–737. doi:10.1111/j.1365-2265.2007.03110.x
   PubMedGoogle Scholar
• Lee SE, Han K, Kang YM, et al. Trends in the prevalence of metabolic syndrome and its components in South Korea: findings from the Korean national health insurance service database (2009–2013). PLoS One. 2018;13(3):e0194490. doi:10.1371/journal.pone.0194490
   PubMedGoogle Scholar
• Munyogwa MJ, Mtumwa AH. The prevalence of abdominal obesity and its correlates among the adults in Dodoma Region, Tanzania: a community-based cross-sectional study. Adv Med. 2018;2018:6123156. doi:10.1155/2018/6123156
   PubMedGoogle Scholar
• Buendia JR, Bradlee ML, Singer MR, Moore LL. Diets higher in protein predict lower high blood pressure risk in framingham offspring study adults. Am J Hypertens. 2014;28(3):372–379. doi:10.1093/ajh/hpu157
   PubMedGoogle Scholar
• Steffen LM, Kroenke CH, Yu X, et al. Associations of plant food, dairy product, and meat intakes with 15-y incidence of elevated blood pressure in young black and white adults: the coronary artery risk development in young adults (CARDIA) study. Am J Clin Nutr. 2005;82(6):1169–1177. doi:10.1093/ajcn/82.6.1169
   PubMed Web of Science ®Google Scholar
• Guo H, Gao X, Ma R, et al. Prevalence of metabolic syndrome and its associated factors among multi-ethnic adults in rural areas in Xinjiang, China. Sci Rep. 2017;7(1):17643. doi:10.1038/s41598-017-17870-5
   PubMed Web of Science ®Google Scholar
• Herningtyas EH, Ng TS. Prevalence and distribution of metabolic syndrome and its components among provinces and ethnic groups in Indonesia. BMC Public Health. 2019;19(1):377. doi:10.1186/s12889-019-6711-7
   PubMedGoogle Scholar
• Scuteri A, Laurent S, Cucca F, et al. Metabolic syndrome across Europe: different clusters of risk factors. Eur J Prev Cardiol. 2014;22(4):486–491. doi:10.1177/2047487314525529
   PubMedGoogle Scholar
• Jiang B, Zheng Y, Chen Y, et al. Age and gender-specific distribution of metabolic syndrome components in East China: role of hypertriglyceridemia in the SPECT-China study. Lipids Health Dis. 2018;17(1):92. doi:10.1186/s12944-018-0747-z
   PubMed Web of Science ®Google Scholar
• Cabré -J-J, Martín F, Costa B, et al. Metabolic syndrome as a cardiovascular disease risk factor: patients evaluated in primary care. BMC Public Health. 2008;8(1):251. doi:10.1186/1471-2458-8-251
   PubMedGoogle Scholar
• Wilson PWF, D’Agostino RB, Parise H, Sullivan L, Meigs JB. Metabolic syndrome as a precursor of cardiovascular disease and type 2 diabetes mellitus. Circulation. 2005;112(20):3066–3072.
   PubMed Web of Science ®Google Scholar
• Yang G-R, Dye TD, Li D. Association between diabetes, metabolic syndrome and heart attack in US adults: a cross-sectional analysis using the behavioral risk factor surveillance system 2015. BMJ Open. 2019;9(9):e022990. doi:10.1136/bmjopen-2018-022990
   PubMedGoogle Scholar
• Baldo MP, Zaniqueli DA, Magalhães P, Capingana DP, Silva AB, Mill JG. Gender-specific determinants of blood pressure elevation in Angolan adults. Blood Press. 2017;26(1):9–17. doi:10.1080/08037051.2016.1179500
   PubMed Web of Science ®Google Scholar
• Choi JY, Yun EK, Yeun EJ, Jeong ES. Factors influencing blood pressure classification for adults: gender differences. Int J Nurs Pract. 2019;25(3):e12706. doi:10.1111/ijn.12706
   PubMedGoogle Scholar
• Chia Chee W, Egan Josephine M, Ferrucci L. Age-related changes in glucose metabolism, hyperglycemia, and cardiovascular risk. Circ Res. 2018;123(7):886–904. doi:10.1161/CIRCRESAHA.118.312806
   PubMedGoogle Scholar
• Noordam R, Gunn DA, Tomlin CC, et al. High serum glucose levels are associated with a higher perceived age. Age (Dordr). 2013;35(1):189–195. doi:10.1007/s11357-011-9339-9
   PubMedGoogle Scholar
• Li W, Song F, Wang X, et al. Prevalence of metabolic syndrome among middle-aged and elderly adults in China: current status and temporal trends. Ann Med. 2018;50(4):345–353. doi:10.1080/07853890.2018.1464202
   PubMed Web of Science ®Google Scholar
• Rhee E-J, Cho J-H, Kwon H, et al. Association between abdominal obesity and increased risk for the development of hypertension regardless of physical activity: a nationwide population-based study. J Clin Hypertens. 2018;20(10):1417–1426. doi:10.1111/jch.13389
   Google Scholar
• Lukács A, Horváth E, Máté Z, et al. Abdominal obesity increases metabolic risk factors in non-obese adults: a Hungarian cross-sectional study. BMC Public Health. 2019;19(1):1533. doi:10.1186/s12889-019-7839-1
   PubMedGoogle Scholar
• Macia E, Gueye L, Duboz P, Oni T. Hypertension and obesity in Dakar, Senegal. PLoS One. 2016;11(9):e0161544. doi:10.1371/journal.pone.0161544
   PubMed Web of Science ®Google Scholar
• Tesfaye F, Byass P, Wall S, Berhane Y, Bonita R. Association of smoking and khat (Catha edulis Forsk) use with high blood pressure among adults in Addis Ababa, Ethiopia, 2006. Prev Chronic Dis. 2008;5(3):A89.
   PubMedGoogle Scholar
• Getahun W, Gedif T, Tesfaye F. Regular Khat (Catha edulis) chewing is associated with elevated diastolic blood pressure among adults in Butajira, Ethiopia: a comparative study. BMC Public Health. 2010;10(1):390. doi:10.1186/1471-2458-10-390
   PubMedGoogle Scholar
• Hu L, Huang X, You C, et al. Prevalence of overweight, obesity, abdominal obesity and obesity-related risk factors in southern China. PLoS One. 2017;12(9):e0183934. doi:10.1371/journal.pone.0183934
   PubMed Web of Science ®Google Scholar
• Shen C, Zhou Z, Lai S, et al. Urban-rural-specific trend in prevalence of general and central obesity, and association with hypertension in Chinese adults, aged 18–65 years. BMC Public Health. 2019;19(1):661. doi:10.1186/s12889-019-7018-4
   PubMedGoogle Scholar
• Myers J, Kokkinos P, Nyelin E. Physical activity, cardiorespiratory fitness, and the metabolic syndrome. Nutrients. 2019;11(7):1652. doi:10.3390/nu11071652
   PubMed Web of Science ®Google Scholar
• Chu AH, Moy FM. Association between physical activity and metabolic syndrome among Malay adults in a developing country, Malaysia. J Sci Med Sport. 2014;17(2):195–200. doi:10.1016/j.jsams.2013.04.003
   PubMedGoogle Scholar
• Blüher M. Obesity: global epidemiology and pathogenesis. Nat Rev Endocrinol. 2019;15(5):288–298. doi:10.1038/s41574-019-0176-8
   PubMed Web of Science ®Google Scholar