It is known that ethnicity is a risk factor for diabetes. Thus, individuals of African, Latin American, and Asian descent are particularly susceptible (1). As an example, a health survey in six urban areas in Peru found a diabetes prevalence of 17% among women (2,3). It was also found that low socioeconomic status was associated with a high burden of noncommunicable diseases and appeared as an independent risk factor for diabetes. In several populations, it is known that increased physical activity reduces the risk for diabetes (4,5). Whether this applies for all populations is, however, not known. The aim of the present study was to explore if supervised endurance training is feasible among socioeconomically marginalized women of a poor urban area in Lima, Peru.

The study population consisted of 142 Amerindian women. They were all examined in 1999 (6) and had a normal fasting plasma glucose concentration (range 2.8–5.6 mmol/l). Five years later, a total of 83 women participated in a follow-up examination (7). Of these, 76 consented to take part in the present training study. Mean age was 41 years (range 25–64 years). The women were randomly assigned into group A (one training session per week) or group B (three training sessions per week). No economic compensation was given besides free athlete suits and shoes.

Exercise training

All exercise sessions were verified by the direct supervision by a physiotherapist and took place outdoors on a square with a concrete surface. A warm-up with stretching, light jogging, and flexibility movements was followed by a mixture of traditional folk and modern aerobic dances for a total of 60 min. This was undertaken once or three times per week for 6 months.

Laboratory and clinical measurements

Body weight and height, BMI, waist circumference, fasting plasma glucose, and cardiorespiratory capacity (Vo2max) were measured at baseline and after the intervention period. All subjects refrained from any severe physical activity 48 h before the measurements. Glucose was determined with the glucose oxidase technique. Vo2max was estimated indirectly after subjects ran around two cones, spaced 20 m apart, for 12 min, as previously decribed (8).

Statistical analyses

Comparisons within groups were performed by paired Student's t test and between groups by Mann-Whitney U test. Correlations were performed using Spearman rank correlations and multiple regression analysis for training sessions, changes of plasma glucose, body weight, BMI, waist circumference, and Vo2max. A P value of <0.05 was considered statistically significant.

Fifty-nine patients completed the study, with 33 in group A and 26 in group B. The mean total attendance was 21 in group A (maximal possible 27) and 64 in group B (maximal possible 77). During the 6-month study period, 20% in group A (one session per week) and 16% in group B (three sessions per week) discontinued the training sessions.

Effects of intervention

No significant differences were observed between groups A and B in 1999 before the start of the exercise program (P > 0.05) (Table 1). In both groups, plasma glucose decreased (P < 0.01), waist circumference decreased (P < 0.05), and Vo2max increased significantly (P < 0.05) after the training sessions. These effects were more pronounced among members of group B (P = 0.019).

Correlations

The number of training sessions was associated with changes in plasma glucose (Rho = 0.37, P = 0.013), waist circumference (Rho = 0.29, P = 0.034), and Vo2max (Rho = 0.38, P = 0,009). In contrast, these variables did not correlate significantly with BMI. Multiple regression analysis showed that the number of training sessions and the increase of Vo2max independently contributed to changes in plasma glucose, whereas waist circumference and BMI did not correlate significantly.

The dramatic increase of type 2 diabetes in Latin America among subjects with Amerindian heritage (911) is seen mainly among populations with low socioeconomic status. For prevention and management, these at-risk populations require a tailored approach. This study shows that a supervised physical group activity is feasible among women living in poor urban areas. The attendance rate was high and the drop out rate acceptable. Furthermore, the study shows that after following such an activity for 6 months, circulating glucose and waist circumference are reduced and Vo2max increased. Furthermore, the number of exercise sessions independently contributed to the reduction of glucose concentrations. In fact, in group B, the mean plasma glucose concentration decreased to the same level as in 1999. Also, in group A, the glucose concentration was significantly reduced, although not to the same degree as in group B.

The exercise regime resulted in a reduction of waist circumference but with no significant change in body weight. Exercise in women is associated with a marked increase in lipolysis in the abdominal subcutaneous adipose tissue in comparison with the femoral adipose tissue (12). This suggests that exercise-induced weight loss would be associated with a preferential reduction in abdominal obesity.

Although encouraging, it may be surprising that only one exercise session per week significantly reduced fasting glucose. This supports results showing that marked changes of the metabolic potential of muscle occur with small variation in the level of physical activity (13). It is also known that men with impaired glucose tolerance normalize their glucose tolerance by increasing their weekly physical activity pattern, without any change in body weight (14).

The findings in this study are extremely encouraging in that supervised exercise may be a low-cost safe therapy with favorable benefits, exercise need not be strenuous or prolonged, and exercise does not have to be done every day.

Table 1—

Changes in plasma glucose concentration, body weight, waist circumference, BMI, and cardiorespiratory fitness in 76 women who participated in the aerobic exercise training for 6 months during 2005*

19992005
2005
Before trainingAfter training
Plasma glucose (mmol/l)    
    A 4.0 ± 0.4 5.1 ± 1.7 4.6 ± 1.6 
    B 4.2 ± 0.7§ 5.1 ± 0.9 4.1 ± 1.1 
Body weight (kg)    
    A 59.0 ± 12.0 61.4 ± 12.1 60.7 ± 10.7 
    B 60.5 ± 11.4§ 64.7 ± 12.8 62.9 ± 11.7 
Waist circumference (cm)    
    A 83.0 ± 10.5 89.7 ± 8.6 89.0 ± 8.8 
    B 85.7 ± 11.5§ 93.0 ± 10.6 90.5 ± 10.6 
BMI (kg/m2   
    A 25.6 ± 5.0§ 26.9 ± 4.6 26.7 ± 4.3 
    B 26.1 ± 5.3§ 27.9 ± 5.5 27.2 ± 5.3 
Vo2max (ml · kg−1 · min−1   
    A ND 19.1 ± 3.9 20.6 ± 4.1 
    B ND 18.6 ± 3.9 21.7 ± 4.3 
19992005
2005
Before trainingAfter training
Plasma glucose (mmol/l)    
    A 4.0 ± 0.4 5.1 ± 1.7 4.6 ± 1.6 
    B 4.2 ± 0.7§ 5.1 ± 0.9 4.1 ± 1.1 
Body weight (kg)    
    A 59.0 ± 12.0 61.4 ± 12.1 60.7 ± 10.7 
    B 60.5 ± 11.4§ 64.7 ± 12.8 62.9 ± 11.7 
Waist circumference (cm)    
    A 83.0 ± 10.5 89.7 ± 8.6 89.0 ± 8.8 
    B 85.7 ± 11.5§ 93.0 ± 10.6 90.5 ± 10.6 
BMI (kg/m2   
    A 25.6 ± 5.0§ 26.9 ± 4.6 26.7 ± 4.3 
    B 26.1 ± 5.3§ 27.9 ± 5.5 27.2 ± 5.3 
Vo2max (ml · kg−1 · min−1   
    A ND 19.1 ± 3.9 20.6 ± 4.1 
    B ND 18.6 ± 3.9 21.7 ± 4.3 

Data are group means ± SD.

*

No lifestyle intervention took place between 1999 and 2005. A and B denote group activities once and three times per week, respectively. Values 1999 vs. 2005 before training:

P < 0.01 and

§

P < 0.001. Values before vs. after 6 months exercise training:

P < 0.01,

P < 0.001, and

P < 0.05.

ND, not done.

The study was supported by grants from Stiftelsen för forskning inom diabetes och kärlsjukdom, the Swedish Research Council (Grant 6834), the Albert Påhlsson Foundation, the Swedish Diabetes Foundation, the Region Skåne, and the Faculty of Medicine, Lund University, Lund, Sweden.

M. Benavente Ercilla, M. Tamashiro, and L. Retamozo at the Alternativa Center for Social Research and Popular Education in Lima, Peru, participated in the design and data collection and provided information to participants.

1.
Abate N, Chandalia M: The impact of ethnicity on type 2 diabetes.
J Diabetes Complications
17
:
39
–58,
2003
2.
Jacoby E, Goldstein J, Lopez A, Ninez E, Lopez T: Social class, family, and life-style factors associated with overweight and obesity among adults in Peruvian cities.
Prev Med
37
:
396
–405,
2003
3.
Goldstein J, Jacoby E, del Aguila R, Lopez A: Poverty is a predictor of non-communicable disease among adults in Peruvian cities.
Prev Med
41
:
800
–806,
2005
4.
Tuomilehto J, Lindström J, Eriksson JG, Valle TT, Hamalainen H, Ilanne-Parikka P, Keinanen-Kiukaaniemi S, Laakso M, Louheranta A, Rastas M, Salminen V, Uusitupa M: Prevention of type 2 diabetes mellitus by changes in lifestyle among subjects with impaired glucose tolerance.
N Engl J Med
344
:
1343
–1350,
2001
5.
Eriksson KF, Lindgärde F: No excess 12-year mortality in men with impaired glucose tolerance who participated in the Malmö preventive trial with diet and exercise.
Diabetologia
41
:
1010
–1016,
1998
6.
Lindgärde F, Söderberg S, Olsson T, Ercilla MB, Correa LR, Ahrén B: Overweight is associated with lower serum leptin in Peruvian Indian than in Caucasian women: a dissociation contributing to low blood pressure.
Metabolism
50
:
325
–329,
2001
7.
Lindgärde F, Vessby B, Ahrén B: Serum cholesteryl fatty acid composition and plasma glucose concentrations in Amerindian women.
Am J Clin Nutr
84
:
1009
–1013,
2006
8.
Cooper KH: A means of assessing maximal oxygen intake: correlation between field and treadmill testing.
JAMA
203
:
201
–204,
1968
9.
World Health Organization, World Bank:
The Global Burden of Disease: A Comprehensive Assessment of Mortality and Disability From Diseases, Injuries and Risk Factors in 1990 and Projected to 2020: Global Burden of Disease and Injury Series
. Vol. 1. Murray CJL, Lopez A, Eds. Cambridge, MA, Harvard School of Public Health,
1999
10.
Barcelo A, Rajpathak S: Incidence and prevalence of diabetes mellitus in the Americas.
Rev Panam Salud Publica
10
:
300
–308,
2000
11.
King H, Aubert RE, Herman WH: Global burden of diabetes 1995–2025: prevalence, numerical estimates, and projections.
Diabetes Care
21
:
1414
–1431,
1998
12.
Horowitz JF, Leone TC, Feng W, Kelly DP, Klein S: Effect of endurance training on lipid metabolism in women: a potential role for PPARalpha in the metabolic response to training.
Am J Physiol Endocrinol Metab
279
:
E348
–E355,
2000
13.
Henriksson J, Reitman JS: Time course of changes in human skeletal muscle succinate dehydrogenase and cytochrome oxidase activities and maximal oxygen uptake with physical activity and inactivity.
Acta Physiol Scand
99
:
91
–97,
1977
14.
Saltin B, Lindgärde F, Houston M, Horlin R, Nygaard E, Gad P: Physical training and glucose tolerance in middle-aged men with chemical diabetes.
Diabetes
28 (Suppl. 1)
:
30
–32,
1979

Published ahead of print at http://care.diabetesjournals.org on 31 May 2007. DOI: 10.2337/dc06-2633.

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