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The usefulness of an accelerometer for monitoring total energy expenditure and its clinical application for predicting body weight changes in type 2 diabetic korean women.

Jung JY, Han KA, Kwon HR, Ahn HJ, Lee JH, Park KS, Min KW - Korean Diabetes J (2010)

Bottom Line: There was no significant difference between EI and TEE at baseline.For 12 weeks, the ED was 474.0 kcal·day(-1), which was significantly correlated with BW change (-3.1 kg) (r = 0.725, P < 0.001).However, the actual BW change was 50% lower than the predicted BW change.

View Article: PubMed Central - PubMed

Affiliation: Diabetes Center, Eulji University Hospital, Seoul, Korea.

ABSTRACT

Background: The purpose of this study was to evaluate the usefulness of an accelerometer in predicting body weight (BW) change during a lifestyle intervention and to find out whether exercise or overall physical activity is associated with change in insulin sensitivity and body composition.

Methods: A total of 49 overweight (body mass index [BMI] ≥ 23 kg/m(2)) women with diabetes were enrolled and performed lifestyle intervention while monitoring BW, total energy expenditure (TEE) and physical activity energy expenditure (PAEE) using an accelerometer, and energy intake (EI) using a three-day dietary record at baseline and every 2 weeks for 12 weeks. We assessed body composition using bioimpedance analysis and compared the actual BW change to the predicted BW change, which was calculated from the energy deficit (ED) between EI and TEE (ED = EI-TEE).

Results: Mean age was 57.2 years, duration of diabetes was 8.0 years, and BMI was 27.8 kg/m(2). There was no significant difference between EI and TEE at baseline. For 12 weeks, the ED was 474.0 kcal·day(-1), which was significantly correlated with BW change (-3.1 kg) (r = 0.725, P < 0.001). However, the actual BW change was 50% lower than the predicted BW change. Both TEE and PAEE correlated with change in K(ITT) (r = 0.334, P = 0.019; r = 0.358, P = 0.012, respectively), BMI (r = -0.395, P = 0.005; r = -0.347, P = 0.015, respectively), and fat mass (r = -0.383, P = 0.007; r = -0.395, P = 0.005, respectively), but only TEE correlated with fat free mass change (r = -0.314, P = 0.030).

Conclusion: The accelerometer appears to be a useful tool for measuring TEE under free-living conditions for both short- and long-term periods.

No MeSH data available.


Related in: MedlinePlus

Correlation between the difference in energy intake (EI) and total energy expenditure (TEE) and actual change of body weight (A), change of fat mass (B), or change of %fat for 12 weeks; %fat (percentage body fat).
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Figure 2: Correlation between the difference in energy intake (EI) and total energy expenditure (TEE) and actual change of body weight (A), change of fat mass (B), or change of %fat for 12 weeks; %fat (percentage body fat).

Mentions: The average energy intake using with the 3-day dietary record showed 1,842.5 ± 236.7 kcal·day-1 before the start of the program and 1,545.2 ± 247.2 kcal·day-1 during the 12 weeks: a decrease of 297.3 ± 227.3 kcal·day-1 (Table 2). Over 12 weeks, the daily average of the difference between energy intake and total energy expenditure was 474.0 ± 291.9 kcal·day-1 (6.2 ± 4.1 kcal·day-1·kg-1). Weight loss over those 12 weeks was 3.1 ± 2.4 kg, while the difference in the average energy intake and total energy expenditure resulted in a significant correlation with body weight change (r = 0.725, P < 0.001). Additionally, changes in body fat mass and percentage also showed significant correlation (r = 0.605, P < 0.001; r = 0.443, P = 0.002, respectively) (Fig. 2).


The usefulness of an accelerometer for monitoring total energy expenditure and its clinical application for predicting body weight changes in type 2 diabetic korean women.

Jung JY, Han KA, Kwon HR, Ahn HJ, Lee JH, Park KS, Min KW - Korean Diabetes J (2010)

Correlation between the difference in energy intake (EI) and total energy expenditure (TEE) and actual change of body weight (A), change of fat mass (B), or change of %fat for 12 weeks; %fat (percentage body fat).
© Copyright Policy - open-access
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC3021114&req=5

Figure 2: Correlation between the difference in energy intake (EI) and total energy expenditure (TEE) and actual change of body weight (A), change of fat mass (B), or change of %fat for 12 weeks; %fat (percentage body fat).
Mentions: The average energy intake using with the 3-day dietary record showed 1,842.5 ± 236.7 kcal·day-1 before the start of the program and 1,545.2 ± 247.2 kcal·day-1 during the 12 weeks: a decrease of 297.3 ± 227.3 kcal·day-1 (Table 2). Over 12 weeks, the daily average of the difference between energy intake and total energy expenditure was 474.0 ± 291.9 kcal·day-1 (6.2 ± 4.1 kcal·day-1·kg-1). Weight loss over those 12 weeks was 3.1 ± 2.4 kg, while the difference in the average energy intake and total energy expenditure resulted in a significant correlation with body weight change (r = 0.725, P < 0.001). Additionally, changes in body fat mass and percentage also showed significant correlation (r = 0.605, P < 0.001; r = 0.443, P = 0.002, respectively) (Fig. 2).

Bottom Line: There was no significant difference between EI and TEE at baseline.For 12 weeks, the ED was 474.0 kcal·day(-1), which was significantly correlated with BW change (-3.1 kg) (r = 0.725, P < 0.001).However, the actual BW change was 50% lower than the predicted BW change.

View Article: PubMed Central - PubMed

Affiliation: Diabetes Center, Eulji University Hospital, Seoul, Korea.

ABSTRACT

Background: The purpose of this study was to evaluate the usefulness of an accelerometer in predicting body weight (BW) change during a lifestyle intervention and to find out whether exercise or overall physical activity is associated with change in insulin sensitivity and body composition.

Methods: A total of 49 overweight (body mass index [BMI] ≥ 23 kg/m(2)) women with diabetes were enrolled and performed lifestyle intervention while monitoring BW, total energy expenditure (TEE) and physical activity energy expenditure (PAEE) using an accelerometer, and energy intake (EI) using a three-day dietary record at baseline and every 2 weeks for 12 weeks. We assessed body composition using bioimpedance analysis and compared the actual BW change to the predicted BW change, which was calculated from the energy deficit (ED) between EI and TEE (ED = EI-TEE).

Results: Mean age was 57.2 years, duration of diabetes was 8.0 years, and BMI was 27.8 kg/m(2). There was no significant difference between EI and TEE at baseline. For 12 weeks, the ED was 474.0 kcal·day(-1), which was significantly correlated with BW change (-3.1 kg) (r = 0.725, P < 0.001). However, the actual BW change was 50% lower than the predicted BW change. Both TEE and PAEE correlated with change in K(ITT) (r = 0.334, P = 0.019; r = 0.358, P = 0.012, respectively), BMI (r = -0.395, P = 0.005; r = -0.347, P = 0.015, respectively), and fat mass (r = -0.383, P = 0.007; r = -0.395, P = 0.005, respectively), but only TEE correlated with fat free mass change (r = -0.314, P = 0.030).

Conclusion: The accelerometer appears to be a useful tool for measuring TEE under free-living conditions for both short- and long-term periods.

No MeSH data available.


Related in: MedlinePlus