Skip to main content
Top
Published in: BMC Public Health 1/2017

Open Access 01-12-2017 | Research article

Cardiovascular disease risk factors in a Nigerian population with impaired fasting blood glucose level and diabetes mellitus

Authors: Victor M. Oguoma, Ezekiel U. Nwose, Ifeoma I. Ulasi, Adeseye A. Akintunde, Ekene E. Chukwukelu, Phillip T. Bwititi, Ross S. Richards, Timothy C. Skinner

Published in: BMC Public Health | Issue 1/2017

Login to get access

Abstract

Background

Diabetes is a risk factor for cardiovascular diseases (CVDs) and there are reports of increasing prevalence of prediabetes in Nigeria. This study therefore characterised CVDs risk factors in subjects with impaired fasting glucose (IFG) and diabetes.

Methods

Data from 4 population-based cross-sectional studies on 2447 apparently healthy individuals from 18 - 89 years were analysed. Anthropometric, blood pressure and biochemical parameters were collected and classified. Individuals with IFG (prediabetes) and diabetes were merged each for positive cases of dyslipidaemia, high blood pressure (HBP) or obesity. Optimal Discriminant and Hierarchical Optimal Classification Tree Analysis (HO-CTA) were employed.

Results

Overall prevalence of IFG and diabetes were 5.8% (CI: 4.9 – 6.7%) and 3.1% (CI: 2.4 – 3.8%), respectively. IFG co-morbidity with dyslipidaemia (5.0%; CI: 4.1 – 5.8%) was the highest followed by overweight/obese (3.1%; CI: 2.5 – 3.8%) and HBP (1.8%; CI: 1.3 – 2.4%). The predicted age of IFG or diabetes and their co-morbidity with other CVD risk factors were between 40 – 45 years. Elevated blood level of total cholesterol was the most predictive co-morbid risk factor among IFG and diabetes subjects. Hypertriglyceridaemia was an important risk factor among IFG-normocholesterolaemic-overweight/obese individuals.

Conclusion

The higher prevalence of co-morbidity of CVD risk factors with IFG than in diabetes plus the similar age of co-morbidity between IFG and diabetes highlights the need for risk assessment models for prediabetes and education of individuals at risk about factors that mitigate development of diabetes and CVDs.
Appendix
Available only for authorised users
Literature
1.
go back to reference Levitzky YS, Pencina MJ, D'Agostino RB, Meigs JB, Murabito JM, Vasan RS, Fox CS. Impact of impaired fasting glucose on cardiovascular disease: the Framingham Heart Study. J Am Coll Cardiol. 2008;51(3):264–70.PubMedCrossRef Levitzky YS, Pencina MJ, D'Agostino RB, Meigs JB, Murabito JM, Vasan RS, Fox CS. Impact of impaired fasting glucose on cardiovascular disease: the Framingham Heart Study. J Am Coll Cardiol. 2008;51(3):264–70.PubMedCrossRef
2.
go back to reference Brannick B, Wynn A, Dagogo-Jack S. Prediabetes as a toxic environment for the initiation of microvascular and macrovascular complications. Exp Biol Med. 2016;241(12):1323–31.CrossRef Brannick B, Wynn A, Dagogo-Jack S. Prediabetes as a toxic environment for the initiation of microvascular and macrovascular complications. Exp Biol Med. 2016;241(12):1323–31.CrossRef
3.
go back to reference Bwititi PT, Nwose EU. Screening of cardiovascular disease risk in diabetes: questions concerning prediabetes and low-mid income countries. North Am J Med Sci. 2014;6(6):284–6. Bwititi PT, Nwose EU. Screening of cardiovascular disease risk in diabetes: questions concerning prediabetes and low-mid income countries. North Am J Med Sci. 2014;6(6):284–6.
4.
go back to reference Ferrannini E. Definition of intervention points in prediabetes. Lancet Diabetes Endocrinol. 2014;2(8):667–75.PubMedCrossRef Ferrannini E. Definition of intervention points in prediabetes. Lancet Diabetes Endocrinol. 2014;2(8):667–75.PubMedCrossRef
6.
go back to reference Feigin VL, Roth GA, Naghavi M, Parmar P, Krishnamurthi R, Chugh S, Mensah GA, Norrving B, Shiue I, Ng M, et al. Global burden of stroke and risk factors in 188 countries, during 1990-2013: a systematic analysis for the Global Burden of Disease Study 2013. Lancet Neurol. 2016;15(9):913–24.PubMedCrossRef Feigin VL, Roth GA, Naghavi M, Parmar P, Krishnamurthi R, Chugh S, Mensah GA, Norrving B, Shiue I, Ng M, et al. Global burden of stroke and risk factors in 188 countries, during 1990-2013: a systematic analysis for the Global Burden of Disease Study 2013. Lancet Neurol. 2016;15(9):913–24.PubMedCrossRef
7.
go back to reference Sagui E. Stroke in sub-Saharan Africa. Med Trop. 2007;67(6):596–600. Sagui E. Stroke in sub-Saharan Africa. Med Trop. 2007;67(6):596–600.
8.
go back to reference Onwuchekwa AC, Onwuchekwa RC, Asekomeh EG. Stroke in young Nigerian adults. J Vasc Nurs. 2009;27(4):98–102.PubMedCrossRef Onwuchekwa AC, Onwuchekwa RC, Asekomeh EG. Stroke in young Nigerian adults. J Vasc Nurs. 2009;27(4):98–102.PubMedCrossRef
9.
10.
go back to reference Grover SA, Lowensteyn I, Esrey KL, Steinert Y, Joseph L, Abrahamowicz M. Do doctors accurately assess coronary risk in their patients? Preliminary results of the coronary health assessment study. BMJ. 1995;310(6985):975.PubMedPubMedCentralCrossRef Grover SA, Lowensteyn I, Esrey KL, Steinert Y, Joseph L, Abrahamowicz M. Do doctors accurately assess coronary risk in their patients? Preliminary results of the coronary health assessment study. BMJ. 1995;310(6985):975.PubMedPubMedCentralCrossRef
11.
go back to reference Balogun WO, Salako BL. Co-occurrence of diabetes and hypertension: pattern and factors associated with order of diagnosis among nigerians. Ann Ib Postgrad Med. 2011;9(2):89–93.PubMedPubMedCentral Balogun WO, Salako BL. Co-occurrence of diabetes and hypertension: pattern and factors associated with order of diagnosis among nigerians. Ann Ib Postgrad Med. 2011;9(2):89–93.PubMedPubMedCentral
12.
go back to reference Selby JV, Peng T, Karter AJ, Alexander M, Sidney S, Lian J, Arnold A, Pettitt D. High rates of co-occurrence of hypertension, elevated low-density lipoprotein cholesterol, and diabetes mellitus in a large managed care population. Am J Manag Care. 2004;10(2 Pt 2):163–70.PubMed Selby JV, Peng T, Karter AJ, Alexander M, Sidney S, Lian J, Arnold A, Pettitt D. High rates of co-occurrence of hypertension, elevated low-density lipoprotein cholesterol, and diabetes mellitus in a large managed care population. Am J Manag Care. 2004;10(2 Pt 2):163–70.PubMed
13.
go back to reference Formiga F, Ferrer A, Sanz H, Marengoni A, Alburquerque J, Pujol R. Octabaix study m: Patterns of comorbidity and multimorbidity in the oldest old: the Octabaix study. Eur J Intern Med. 2013;24(1):40–4.PubMedCrossRef Formiga F, Ferrer A, Sanz H, Marengoni A, Alburquerque J, Pujol R. Octabaix study m: Patterns of comorbidity and multimorbidity in the oldest old: the Octabaix study. Eur J Intern Med. 2013;24(1):40–4.PubMedCrossRef
14.
go back to reference Merry AH, Erkens PM, Boer JM, Schouten LJ, Feskens EJ, Verschuren WM, Gorgels AP, van den Brandt PA. Co-occurrence of metabolic factors and the risk of coronary heart disease: a prospective cohort study in the Netherlands. Int J Cardiol. 2012;155(2):223–9.PubMedCrossRef Merry AH, Erkens PM, Boer JM, Schouten LJ, Feskens EJ, Verschuren WM, Gorgels AP, van den Brandt PA. Co-occurrence of metabolic factors and the risk of coronary heart disease: a prospective cohort study in the Netherlands. Int J Cardiol. 2012;155(2):223–9.PubMedCrossRef
15.
go back to reference Mbanya V, Hussain A, Kengne AP. Application and applicability of non-invasive risk models for predicting undiagnosed prevalent diabetes in Africa: A systematic literature search. Prim care diabetes. 2015;9(5):317–29.PubMedCrossRef Mbanya V, Hussain A, Kengne AP. Application and applicability of non-invasive risk models for predicting undiagnosed prevalent diabetes in Africa: A systematic literature search. Prim care diabetes. 2015;9(5):317–29.PubMedCrossRef
16.
go back to reference Oguoma VM, Nwose EU, Ulasi II, Akintunde AA, Chukwukelu EE, Araoye MA, Edo AE, Ijoma CK, Onyia IC, Ogbu II, et al. Maximum accuracy obesity indices for screening metabolic syndrome in Nigeria: A consolidated analysis of four cross-sectional studies. Diabetes Metab Syndr. 2016;10(3):121–7.PubMedCrossRef Oguoma VM, Nwose EU, Ulasi II, Akintunde AA, Chukwukelu EE, Araoye MA, Edo AE, Ijoma CK, Onyia IC, Ogbu II, et al. Maximum accuracy obesity indices for screening metabolic syndrome in Nigeria: A consolidated analysis of four cross-sectional studies. Diabetes Metab Syndr. 2016;10(3):121–7.PubMedCrossRef
17.
go back to reference Oputa R, Chinenye S. Diabetes in Nigeria-a translational medicine approach. Afr J Diabetes Med. 2015;23(1):7–10. Oputa R, Chinenye S. Diabetes in Nigeria-a translational medicine approach. Afr J Diabetes Med. 2015;23(1):7–10.
18.
go back to reference Akinlua JT, Meakin R, Umar AM, Freemantle N. Current Prevalence Pattern of Hypertension in Nigeria: A Systematic Review. PLoS One. 2015;10(10):e0140021.PubMedPubMedCentralCrossRef Akinlua JT, Meakin R, Umar AM, Freemantle N. Current Prevalence Pattern of Hypertension in Nigeria: A Systematic Review. PLoS One. 2015;10(10):e0140021.PubMedPubMedCentralCrossRef
19.
go back to reference Oguejiofor OC, Onwukwe CH, Odenigbo CU. Dyslipidemia in Nigeria: prevalence and pattern. Ann Afr Med. 2012;11(4):197–202.PubMedCrossRef Oguejiofor OC, Onwukwe CH, Odenigbo CU. Dyslipidemia in Nigeria: prevalence and pattern. Ann Afr Med. 2012;11(4):197–202.PubMedCrossRef
20.
go back to reference Oguoma VM, Nwose EU, Skinner TC, Digban KA, Onyia IC, Richards RS. Prevalence of cardiovascular disease risk factors among a Nigerian adult population: relationship with income level and accessibility to CVD risks screening. BMC Public Health. 2015;15(1):397.PubMedPubMedCentralCrossRef Oguoma VM, Nwose EU, Skinner TC, Digban KA, Onyia IC, Richards RS. Prevalence of cardiovascular disease risk factors among a Nigerian adult population: relationship with income level and accessibility to CVD risks screening. BMC Public Health. 2015;15(1):397.PubMedPubMedCentralCrossRef
21.
go back to reference Ulasi II, Ijoma CK, Onodugo OD. A community-based study of hypertension and cardio-metabolic syndrome in semi-urban and rural communities in Nigeria. BMC Health Serv Res. 2010;10:71.PubMedPubMedCentralCrossRef Ulasi II, Ijoma CK, Onodugo OD. A community-based study of hypertension and cardio-metabolic syndrome in semi-urban and rural communities in Nigeria. BMC Health Serv Res. 2010;10:71.PubMedPubMedCentralCrossRef
22.
go back to reference Nwose EU, Oguoma VM, Bwititi PT, Richards RS. Metabolic syndrome and prediabetes in ndokwa community of Nigeria: preliminary study. N Am J Med Sci. 2015;7(2):53–8.PubMedPubMedCentralCrossRef Nwose EU, Oguoma VM, Bwititi PT, Richards RS. Metabolic syndrome and prediabetes in ndokwa community of Nigeria: preliminary study. N Am J Med Sci. 2015;7(2):53–8.PubMedPubMedCentralCrossRef
23.
go back to reference Adediran O, Akintunde AA, Edo AE, Opadijo OG, Araoye AM. Impact of urbanization and gender on frequency of metabolic syndrome among native Abuja settlers in Nigeria. J Cardiovasc Dis Res. 2012;3(3):191–6.PubMedPubMedCentralCrossRef Adediran O, Akintunde AA, Edo AE, Opadijo OG, Araoye AM. Impact of urbanization and gender on frequency of metabolic syndrome among native Abuja settlers in Nigeria. J Cardiovasc Dis Res. 2012;3(3):191–6.PubMedPubMedCentralCrossRef
24.
go back to reference Chukwukelu E, Ogbu I, Onyeanusi C. Prevalence of metabolic syndrome in some Urban and Rural Communities in Enugu State, Nigeria. Internet J Lab Med. 2013;5:1. Chukwukelu E, Ogbu I, Onyeanusi C. Prevalence of metabolic syndrome in some Urban and Rural Communities in Enugu State, Nigeria. Internet J Lab Med. 2013;5:1.
26.
go back to reference Gao Y, Zhu CG, Wu NQ, Guo YL, Liu G, Dong Q, Li JJ. Study on the reliability of CardioChek PA for measuring lipid profile. Beijing da xue xue bao Yi xue ban = Journal of Peking University Health sciences. 2016;48(3):523–8.PubMed Gao Y, Zhu CG, Wu NQ, Guo YL, Liu G, Dong Q, Li JJ. Study on the reliability of CardioChek PA for measuring lipid profile. Beijing da xue xue bao Yi xue ban = Journal of Peking University Health sciences. 2016;48(3):523–8.PubMed
27.
go back to reference Alberti KG, Zimmet P, Shaw J, Group IDFETFC. The metabolic syndrome--a new worldwide definition. Lancet. 2005;366(9491):1059–62.PubMedCrossRef Alberti KG, Zimmet P, Shaw J, Group IDFETFC. The metabolic syndrome--a new worldwide definition. Lancet. 2005;366(9491):1059–62.PubMedCrossRef
28.
go back to reference Whitworth JA. World Health Organization ISoHWG: 2003 World Health Organization (WHO)/International Society of Hypertension (ISH) statement on management of hypertension. J Hypertens. 2003;21(11):1983–92.PubMedCrossRef Whitworth JA. World Health Organization ISoHWG: 2003 World Health Organization (WHO)/International Society of Hypertension (ISH) statement on management of hypertension. J Hypertens. 2003;21(11):1983–92.PubMedCrossRef
29.
go back to reference Expert Panel on Detection E. Treatment of High Blood Cholesterol in A: Executive Summary of The Third Report of The National Cholesterol Education Program (NCEP) Expert Panel on Detection, Evaluation, And Treatment of High Blood Cholesterol In Adults (Adult Treatment Panel III). JAMA. 2001;285(19):2486–97.CrossRef Expert Panel on Detection E. Treatment of High Blood Cholesterol in A: Executive Summary of The Third Report of The National Cholesterol Education Program (NCEP) Expert Panel on Detection, Evaluation, And Treatment of High Blood Cholesterol In Adults (Adult Treatment Panel III). JAMA. 2001;285(19):2486–97.CrossRef
30.
go back to reference Yarnold PR, Soltysik RC. Optimal data analysis. Washington DC: American Psychological Association; 2005. Yarnold PR, Soltysik RC. Optimal data analysis. Washington DC: American Psychological Association; 2005.
31.
go back to reference Yarnold PR, Bryant FB. Obtaining a Hierarchically Optimal CTA Model via UniODA Software. Optimal Data Analysis. 2015;4:36–53. Yarnold PR, Bryant FB. Obtaining a Hierarchically Optimal CTA Model via UniODA Software. Optimal Data Analysis. 2015;4:36–53.
32.
go back to reference Yarnold PR, Soltysik RC, Bennett CL. Predicting in-hospital mortality of patients with AIDS-related Pneumocystis carinii pneumonia: an example of hierarchically optimal classification tree analysis. Stat Med. 1997;16(13):1451–63.PubMedCrossRef Yarnold PR, Soltysik RC, Bennett CL. Predicting in-hospital mortality of patients with AIDS-related Pneumocystis carinii pneumonia: an example of hierarchically optimal classification tree analysis. Stat Med. 1997;16(13):1451–63.PubMedCrossRef
33.
go back to reference Kandala NB, Stranges S. Geographic variation of overweight and obesity among women in Nigeria: a case for nutritional transition in sub-Saharan Africa. PLoS One. 2014;9(6):e101103.PubMedPubMedCentralCrossRef Kandala NB, Stranges S. Geographic variation of overweight and obesity among women in Nigeria: a case for nutritional transition in sub-Saharan Africa. PLoS One. 2014;9(6):e101103.PubMedPubMedCentralCrossRef
35.
go back to reference Ogah OS, Okpechi I, Chukwuonye II, Akinyemi JO, Onwubere BJ, Falase AO, Stewart S, Sliwa K. Blood pressure, prevalence of hypertension and hypertension related complications in Nigerian Africans: A review. World J Cardiol. 2012;4(12):327–40.PubMedPubMedCentralCrossRef Ogah OS, Okpechi I, Chukwuonye II, Akinyemi JO, Onwubere BJ, Falase AO, Stewart S, Sliwa K. Blood pressure, prevalence of hypertension and hypertension related complications in Nigerian Africans: A review. World J Cardiol. 2012;4(12):327–40.PubMedPubMedCentralCrossRef
36.
37.
go back to reference Oluyombo R, Olamoyegun MA, Olaifa O, Iwuala SO, Babatunde OA. Cardiovascular risk factors in semi-urban communities in southwest Nigeria: Patterns and prevalence. J Epidemiol Glob Health. 2015;5(2):167–74.PubMedCrossRef Oluyombo R, Olamoyegun MA, Olaifa O, Iwuala SO, Babatunde OA. Cardiovascular risk factors in semi-urban communities in southwest Nigeria: Patterns and prevalence. J Epidemiol Glob Health. 2015;5(2):167–74.PubMedCrossRef
38.
go back to reference Liu J, Grundy SM, Wang W, Smith Jr SC, Vega GL, Wu Z, Zeng Z, Wang W, Zhao D. Ten-year risk of cardiovascular incidence related to diabetes, prediabetes, and the metabolic syndrome. Am Heart J. 2007;153(4):552–8.PubMedCrossRef Liu J, Grundy SM, Wang W, Smith Jr SC, Vega GL, Wu Z, Zeng Z, Wang W, Zhao D. Ten-year risk of cardiovascular incidence related to diabetes, prediabetes, and the metabolic syndrome. Am Heart J. 2007;153(4):552–8.PubMedCrossRef
39.
go back to reference Nwose EU, Richards RS, Digban K, Bwititi PT, Ennis G, Yee KC, Oguoma VM, Liberato S. Cardiovascular risk assessment in prediabetes and undiagnosed diabetes mellitus study: international collaboration research overview. North Am J Med Sci. 2013;5(11):625–30.CrossRef Nwose EU, Richards RS, Digban K, Bwititi PT, Ennis G, Yee KC, Oguoma VM, Liberato S. Cardiovascular risk assessment in prediabetes and undiagnosed diabetes mellitus study: international collaboration research overview. North Am J Med Sci. 2013;5(11):625–30.CrossRef
40.
go back to reference DeFronzo RA, Abdul-Ghani M. Assessment and treatment of cardiovascular risk in prediabetes: impaired glucose tolerance and impaired fasting glucose. Am J Cardiol. 2011;108(3 Suppl):3b–24b.PubMedCrossRef DeFronzo RA, Abdul-Ghani M. Assessment and treatment of cardiovascular risk in prediabetes: impaired glucose tolerance and impaired fasting glucose. Am J Cardiol. 2011;108(3 Suppl):3b–24b.PubMedCrossRef
41.
go back to reference Ogedengbe SO, Ezeani IU. Profile of metabolic abnormalities seen in patients with type 2 diabetes mellitus and their first degree relatives with metabolic syndrome seen in Benin City, Edo state Nigeria. J Diabetes Metab Disord. 2014;13:61.PubMedPubMedCentralCrossRef Ogedengbe SO, Ezeani IU. Profile of metabolic abnormalities seen in patients with type 2 diabetes mellitus and their first degree relatives with metabolic syndrome seen in Benin City, Edo state Nigeria. J Diabetes Metab Disord. 2014;13:61.PubMedPubMedCentralCrossRef
42.
go back to reference Awogbemi OT, Okoromah CA, Roberts AA. Hypercholesterolaemia in schoolchildren in Lagos, Nigeria: an indication of a growing threat of cardiovascular disease? Nig Q J Hosp Med. 2013;23(2):110–3.PubMed Awogbemi OT, Okoromah CA, Roberts AA. Hypercholesterolaemia in schoolchildren in Lagos, Nigeria: an indication of a growing threat of cardiovascular disease? Nig Q J Hosp Med. 2013;23(2):110–3.PubMed
43.
go back to reference Ogunleye OO, Ogundele SO, Akinyemi JO, Ogbera AO. Clustering of hypertension, diabetes mellitus and dyslipidemia in a Nigerian population: a cross sectional study. Afr J Med Med Sci. 2012;41(2):191–5.PubMed Ogunleye OO, Ogundele SO, Akinyemi JO, Ogbera AO. Clustering of hypertension, diabetes mellitus and dyslipidemia in a Nigerian population: a cross sectional study. Afr J Med Med Sci. 2012;41(2):191–5.PubMed
44.
go back to reference Oguoma VM, Nwose EU, Skinner TC, Richards RS, Digban KA, Onyia IC. Association between metabolic syndrome and 10-year risk of developing cardiovascular disease in a Nigerian population. Int Health. 2016;8(5):354–9.PubMedCrossRef Oguoma VM, Nwose EU, Skinner TC, Richards RS, Digban KA, Onyia IC. Association between metabolic syndrome and 10-year risk of developing cardiovascular disease in a Nigerian population. Int Health. 2016;8(5):354–9.PubMedCrossRef
45.
go back to reference Lawrence JM, Bennett P, Young A, Robinson AM. Screening for diabetes in general practice: cross sectional population study. BMJ. 2001;323(7312):548–51.PubMedPubMedCentralCrossRef Lawrence JM, Bennett P, Young A, Robinson AM. Screening for diabetes in general practice: cross sectional population study. BMJ. 2001;323(7312):548–51.PubMedPubMedCentralCrossRef
46.
go back to reference Mendis S, Johnston SC, Fan W, Oladapo O, Cameron A, Faramawi MF. Cardiovascular risk management and its impact on hypertension control in primary care in low-resource settings: a cluster-randomized trial. Bull World Health Organ. 2010;88(6):412–9.PubMedCrossRef Mendis S, Johnston SC, Fan W, Oladapo O, Cameron A, Faramawi MF. Cardiovascular risk management and its impact on hypertension control in primary care in low-resource settings: a cluster-randomized trial. Bull World Health Organ. 2010;88(6):412–9.PubMedCrossRef
47.
go back to reference Oguoma VM, Nwose EU, Bwititi PT. Cardiovascular disease risk prevention: preliminary survey of baseline knowledge, attitude and practices of a Nigerian rural community. North Am J Med Sci. 2014;6(9):466–71.CrossRef Oguoma VM, Nwose EU, Bwititi PT. Cardiovascular disease risk prevention: preliminary survey of baseline knowledge, attitude and practices of a Nigerian rural community. North Am J Med Sci. 2014;6(9):466–71.CrossRef
48.
go back to reference Faerch K, Hulman A, Solomon TP. Heterogeneity of Pre-diabetes and Type 2 Diabetes: Implications for Prediction, Prevention and Treatment Responsiveness. Curr Diabetes Rev. 2016;12(1):30–41.PubMedCrossRef Faerch K, Hulman A, Solomon TP. Heterogeneity of Pre-diabetes and Type 2 Diabetes: Implications for Prediction, Prevention and Treatment Responsiveness. Curr Diabetes Rev. 2016;12(1):30–41.PubMedCrossRef
Metadata
Title
Cardiovascular disease risk factors in a Nigerian population with impaired fasting blood glucose level and diabetes mellitus
Authors
Victor M. Oguoma
Ezekiel U. Nwose
Ifeoma I. Ulasi
Adeseye A. Akintunde
Ekene E. Chukwukelu
Phillip T. Bwititi
Ross S. Richards
Timothy C. Skinner
Publication date
01-12-2017
Publisher
BioMed Central
Published in
BMC Public Health / Issue 1/2017
Electronic ISSN: 1471-2458
DOI
https://doi.org/10.1186/s12889-016-3910-3

Other articles of this Issue 1/2017

BMC Public Health 1/2017 Go to the issue