Background Image
Table of Contents Table of Contents
Previous Page  13 / 52 Next Page
Information
Show Menu
Previous Page 13 / 52 Next Page
Page Background

SA JOURNAL OF DIABETES & VASCULAR DISEASE

RESEARCH ARTICLE

VOLUME 15 NUMBER 2 • NOVEMBER 2018

51

15. Daleva M, Piperova-Dalbokova D, Hadjiolova I,

et al

. Changes in the excretion

of corticosteroids and catecholamines in tractor-drivers.

Int Arch Occup Environ

Health

1982;

49

: 345–352.

16. Sato S, Taoda K, Kawamura M,

et al

. Heart rate variability during long truck

driving work.

J Hum Ergol

(Tokyo) 2001;

30

: 235–240.

17.

www.citymayor.com

(2012).World’s fastest growing cities and urban areas from

2006–2020. Accessed Feb 13, 2015.

18. Lagos metropolitan area transport. Lagos: Bureau of Statistics. Digest of Statistics,

2010.

19. Amoran OE, Salako EE, Jeminusi O. Screening for common occupational health

disease among long distance professional drivers in Sagamu, Ogun state, Nigeria.

Int J Prev Med

2014;

5

(4): 516–521.

20. Tobin EA, Ofili AN, Asogun DA,

et al

. Prevalence of hypertension and associated

factors among inter-city drivers in an urban city in South- South Nigeria.

Int J Res

Med

2013;

2

(3): 5–12.

21. Erhiano EE, Igbokwe VU, El-Khashab MM, Okolo RU, Awosan KJ. Prevalence of

hypertension among commercial bus drivers in Sokoto, Sokoto state, Nigeria.

Int

J Med Med Sci

2015;

2

(3): 34–39.

22. Ogah OS, Okpechi I, Chukwunoye II. Blood Pressure, prevalence of hypertension

and hypertension related complications in Nigerian Africans: A review.

World J

Cardiovascular Dis

2012;

4

(12): 327–340.

23.

www.labour.gov.bc.ca/esb/faceshts

24. Rolland-Cachera MF, Sempe M, Guilloud-Bataille M, Patois E,

et al

. Adiposity

Indices in children.

Am J Clin Nutr

1982;

36

: 178–184.

25. The WHO STEPwise approach to non-communicable disease risk factor

surveillance (STEPS). www.who.int/chp/steps. Accessed April 12, 2015.

26. Ozoh OB, Okubadejo NU, Dania MG. High risk of obstructive sleep apnea

and excessive daytime sleepiness among commercial intra-city drivers in Lagos

metropolis.

Niger Med J

2013;

54

(4): 224–229.

27.

www.randox.com/randox_biosciences.

28. American Diabetic Association diagnostic criteria.

www.diabetes.org/diabetes-

basic/diagnosis; 2014. Accessed June 19, 2015.

29. National Cholesterol Education Program: ATP III Guidelines 2001. www.nhlbi.nih.

gov/files/docs/guidelines/atp3xsum.pdf. Accessed on May 20, 2015.

30. Castelli WP, Anderson K, Wilson PW, Levy D. Lipis and the risk of coronary heart

disease. The Framingham Study.

Ann Epidemiol

1992;

2

(1–2): 23–28.

31. www.who.int/steps/resources/GPAQ_Analysis_Guide.pdf. Accessed May 20, 2015.

32. Adeloye D, Basquill C, Aderemi AV,

et al

. An estimate of the prevalence of

hypertension in Nigeria: a systematic review and meta-analysis.

J Hypertens

2015;

33

(2): 230–242.

33. Murthy GVS, Fox S, Sivasubramanian S, Gilbert CE, Mahdi AM. Prevalence and

risk factors of hypertension and association with ethnicity in Nigeria: results from

a national survey.

Cardiovas J Afr

2013;

24

(9): 344–350.

34. Ekwunife OI, Udeogaranya P, Nwatu I. Prevalence, awareness, treatment and

control of hypertension in a Nigerian population.

Health

2010;

2

: 731–735.

35. Iseuzo S, Sabir AA, Ohwovoriole AE, Fasanmade OA. Prevalence, associated

factors and relationship between prehypertension and hypertension: a study

of two ethnic African populations in northern Nigeria.

J Hum Hypertens

2010;

25

(4): 224–230.

36. Aguiree F, Brown A, Cho NH, Dahlquist G, Dodd S, Dunning T,

et al

. In: Guariguata

L, Nolan T, Beagley J, Linnenkamp U, Jacqmain O (eds). International Diabetes

Federation Atlas. Basel, Switzerland: International Diabetes Federation, 2013.

37. Ogbera OA, Ekpebegh C. Diabetes Mellitus in Nigeria: The past, present and

future.

World J Diabetes

2014;

5

(6): 905–911.

38. Odenigbo CV, Oguejiofor OC, Odenigbo UM,

et al

. Prevalence of dyslipidaemia in

apparently healthy professionals in Asaba, South- South Nigeria.

Nig J Clin Pract

2008;

11

: 330–335.

39. Ono T, Guthold R, Strong K. WHO Global Comparable Estimates. Global Infobase

data for saving lives 2005–2012.

https://apps.who.int/

infobase/index.aspx.

Accessed February 23, 2015.

40. Okafor CI, Gezawa ID, Sabir AA, Raimi TH, Enang O. Obesity, overweight and

underweight among urban Nigerians.

Nig J Clin Pract

2014;

17

: 743–749.

41. Saberi HR, Moravveji AR, Frakhanan E, Kashani,

et al

. Prevalence of metabolic

syndrome in bus and truck drivers in Kashan, Iran.

Diabetol Metabolic Syndrome

2011;

3

(1): 8.

42. Hirata RP, Malosa Sampio LM, Leitao Filho FS,

et al

. General characteristics and

risk Factors of Cardiovascular Disease among Interstate Bus Drivers.

Sci W J

2012;

Article ID 216702: 1–8.

43. Barbosa PJB, Leaas I, Filho NA, Magalhaes LB, Araujo J. Criteria for central obesity

in a Brazilian population: impact on metabolic syndrome.

Arq Bras Cardiol

2006;

87

(4): 1–8.

44. Shabnam AA, Homa K, Reza MM, Bagher L,

et al

. Cut-off points for

waist circumference and body mass index for detecting diabetes mellitus,

hypercholestrolaemia and hypertension according to the national non-

communicable risk factor surveillance in Iran.

Arch Med Sci

2012;

8

(4): 614–

621.

45. Lakshman A, Manikath N, Rahim A, Anilakumari VP. Prevalence and risk factors

for hypertension among male occupational bus drivers in North Kerla, South

India: A cross-sectional study.

ISRN Prev Med

2914; Article 19 318532; 1–9.

46. Zhu S, Kim J, Ma X, Shih A,

et al

. Body mass index and risk of serious upper

body injuries following motor vehicle crashes: concordance of real-world and

computer-simulated observations.

PLos Med

2010;

7

(3): e 1000250.

47. World Health Organization. Cardiovascular diseases. Factsheet No 317, 2015.

www.who.int/mediacentre/factsheets/fs317/en/index. Accessed February 22,

2015.

48. Adejugbagbe AM, Fatiregun AA, Rukewe A, Alonge T. Epidemiology of road

traffic crashes among long distance drivers in Ibadan.

Afr Health Sci

2015;

15

(2):

483–488.

49. Bello S, Ndifon OO, Mpama OO, Odowole OO. Pattern of alcohol use among

drivers of commercial vehicles in Calabar, Nigeria.

E Afr Med

J

2011;

88

(33): 3–6.

50. Chukwuonye II, Chuku A, Onyeonoro UU, Madukwe OO,

et al

. A rural and urban

cross-sectional study on alcohol consumption among adult Nigerians in Abia

state.

Int J Med Biomed Res

2013;

2

( 3): 179–185.

51. World Health Organization. Management of substance abuse. Country profiles,

2014. www.who.int/substance_abuse/publications/global_alcohol_report/profile/

nga.pdf?ua=1. Accessed August 28, 2015.

52. Mancia G, Parati G, Borghi C, Ghironzi G,

et al

. Smooth investigators. Hypertension

prevalence, awareness, control and association with metabolic abnormalities in

San Maniano population the SMOOTH study.

J Hypertens

2006;

24

: 837–843.

53. Mancia G,Bombelli M, Corrao G, Facchetti R, Madotto F,

et al

. Metabolic

syndrome in the PAMELA study: daily life blood pressure, cardiac damage, and

prognosis.

Hypertension

2007;

49

: 40–47.

54. Mancia G, Grassi G. Systolic and diastolic blood pressure control in anti-

hypertensive drug trials.

J Hypertens

2007;

20

: 1461–1464.

55. Showande SJ, George OA, Adekunle OO. Gender-related differences in the

prevalence and correlates of modifiable cardiovascular disease risk factors among

seemingly healthy adult Nigerians – a cross-sectional study.

Br J Med Med Res

2014:

4

(25): 4325–4340.

56. Mahmoud US, Kolawole WW, Bashir OY, Maruf G, Omolara VJ, Akeem G.

Modifiable cardiovascular risk factors among apparently healthy adult Nigerian

population – a cross-sectional study.

BMC Res Notes

2010;

3

(11): 1–7.

57. Oladapo OO, Falase AO, Salako L, Sodiq O, Shoyinka K, Adedapo K. A prevalence

of cardiometabolic risk factors among a rural Yoruba southwestern Nigerian

population: a population-based survey.

Cardiovasc J Afr

2010;

21

(1): 26–31.