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SA JOURNAL OF DIABETES & VASCULAR DISEASE

RESEARCH ARTICLE

VOLUME 14 NUMBER 2 • DECEMBER 2017

49

5.

http://www.nationsonline.org/oneworld/GNI_PPP_of_countries.htm

(Accessed

19 July 2015).

6.

http://www.who.int/gho/countries/bwa.pdf?ua=1

(Accessed 19 July 2015).

7.

http://www.who.int/countries/bwa/en/

(Accessed 19 July 2015).

8. Vague J. Sexual differentiation. A factor affecting the form of obesity.

Presse

Medicale

1947;

30

: S39–S40.

9. Alberti KG, Zimmet P, Shaw J. IDF Epidemiology Task Force Consensus Group.

The metabolic syndrome – a new worldwide definition.

Lancet

2005;

336

: 1059–

1062.

10. Alberti KGMM, Eckel RH, Grundy SM, Zimmet PZ, Cleeman JI, Donato KA,

et al

. Harmonizing the metabolic syndrome: A joint interim statement of the

International Diabetes Federation; National Heart, Lung, and Blood Institute;

American Heart Association; World Heart Federation; International Atherosclerosis

Society; International Association for the Study of Obesity.

Circulation

2009;

120

:

1640–1645.

11. Fezeu L, Balkau B, Kengne A, Sobngwi E, Mbanya JC. Metabolic syndrome in

a sub-Saharan African setting: Central obesity may be the key determinant.

Atherosclerosis

2007;

193

: 70–76.

12. Motala AA, Esterhuizen T, Pirie FJ, Omar MAK. The prevalence of the metabolic

syndrome and determinants of the optimal waist circumference cut-off points in

a rural South African community.

Diabetes Care

2011;

34

: 1032–1039.

13. Magalhães P, Capingana DP, Mill JG. Prevalence of the metabolic syndrome and

determination of optimal cut-off values of waist circumference in university

employees from Angola.

Cardiov J Afr

2014;

25

: 27–33.

14. Dowse GK, Zimmet P. Amodel protocol for diabetes and other non- communicable

disease field survey. Epidemiology and public health aspects of Diabetes.

World

Health Stat Q

1992;

45

: 360–369.

15. Yusuf S, Hawken S, Ôunpuu S, Bautista L, Franzosi MG,

et al

, INTERHEART

study investigators. Obesity and the risk of myocardial infarction in 27,000

participants from 52 countries: a case- control study.

Lancet

2005;

366

(9497):

1640–1649.

16. Report of a WHO consultation. Obesity: prevalence and managing the global

epidemic.

World Health Org Tech Rep Ser

2000;

894

: i–xii, 1–253).

17. MedCalc

®

1993–2015, Version 15.2.2 Altman DG. Practical Statistics for Medical

Research. London: Chapman and Hall, 1991.

18. Nnyepi MS, Gwisai N, Lekgoa M, Seru T. Evidence of nutrition transition in

Southern Africa.

Proc Nutr Soc

2015; Feb 17: 1–9 Epub ahead of print.

19. World Health Organization 2009. WHO Global InfoBase.

20. Jansen I, Katzmarzyk PT, Ross R. Body mass index, waist circumference, and health

risk: evidence in support of current National Institutes of Health Guidelines.

Arch

Intern Med

2002;

162

(18): 2074–2079.

21. Balkau B, Charles MA. Comment on the provisional report of WHO consultation.

European Group for the Study of Insulin Resistance (EGIR).

Diabet Med

1999;

16

:

442–443.

22. Lin WY, Lee LT, Chen CY, Lo H, Hsia HH, Liu IL,

et al

. Optimal cut-off values for

obesity: using simple anthropometric indices to predict cardiovascular risk factors

in Taiwan.

In J Obes Relat Metab Disord

2002;

26

: 1232–1238.

23. Expert panel on detection, evaluation, and treatment of high blood cholesterol

in adults. 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).

J Am Med Assoc

2001;

285

: 2486–2497.

24. Whitlock G, Lewington S, Sherliker P, Clarke R, Emberson J, Halsey J,

et al

.,

prospective studies collaborators. Body mass index and cause- specific mortality

in 900,000 adults: collaborative analyses of 57 prospective studies.

Lancet

2009;

373

(9669): 1083–1096.

25. The Practical Guide: identification, evaluation, and treatment of overweight

and obesity in adults.

http://www.nhbli.nih.gov/guidelines/obesity/prctgd_c.pdf

(Accessed 06 November 2013).

26. Macal CM, North MJ. Tutorial on agent-based modeling and simulation.

J

Simulation

2010;

4

: 151–162. doi:10.1057/jos.2010.3.

27. Homer JB, Hirsch GM. System dynamics modeling for public health: background

and opportunities.

Am J Public Health

2006;

96

: 452–458. doi:10.2105/

AJPH.2005.062059.

What two minutes a week of high-intensity exercise can do

R

esearchers from Abertay University

report that high-intensity training (HIT)

of short duration not only reduces the risk

of disease, but is also just as effective

at doing so as the exercise guidelines

currently recommended, according to a

study by Simon Adamson and colleagues

published in

Biology

2014;

3

(2): 333–

344.

Current guidelines state that five

30-minute sessions of exercise should be

carried out each week, something that

very few people manage to achieve. The

most common reason cited for this is lack

of time, and the researchers believe that

HIT is the perfect way for people who are

time-poor to improve their health.

In the study, overweight adults took

part in a HIT programme for a period of

eight weeks. This involved completing

twice-weekly sprint series on an exercise

bike, with each sprint lasting just six

seconds. Ten sprints were completed in

total during each session, amounting to

just two minutes of exercise per week.

This short HIT programme was enough

to significantly improve cardiovascular

health and insulin sensitivity in the

participants, and is the first time that so

little exercise has been shown to have

such significant health benefits. Previous

research by the same team had shown that

three HIT sessions a week were required,

but this study has eclipsed these results

by showing that the same results can be

achieved with just two.

Dr John Babraj, head of the HIT research

team at Abertay University, explains: ‘With

this study, we investigated the benefits of

HIT in a population group known to be at

risk of developing diabetes: overweight,

middle-aged adults.

‘We found that not only does HIT

reduce the risk of their developing the

disease, but also that the regimen needs

to be performed only twice a week in

order for them to reap the benefits. And

you don’t have to be able to go at the

speed of Usain Bolt when you’re sprinting.

As long as you are putting your maximal

effort into the sprints, it will improve your

health.

‘And this is the beauty of HIT: it is quick

to do and it is effective. Although it is

well-established that exercise is a powerful

therapy for the treatment and prevention

of type 2 diabetes, only 40% of men and

28%of women achieve the recommended

30 minutes of moderate-intensity exercise

on five days of the week.

‘Lack of time to exercise, due to work

or family commitments, is cited as the

most common barrier to participation,

so HIT offers a really effective solution to

this problem and has the added benefit of

reducing disease risk which activities such

as walking, even if done five days a week

for 30 minutes, don’t offer.

‘There is a clear relationship between

the intensity of exercise and the magnitude

of health improvement, so it is only

through these short, high-intensity sprints

that health improvements can be seen.’

Source:

http://www.diabetesincontrol.com/articles/diabetes-

news/16355-what-two-minutes-a-week-of-high-

intensity-exercise-can-do