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Effect of a weight loss intervention on anthropometric measures and metabolic risk factors in pre- versus postmenopausal women

Overview of attention for article published in Nutrition Journal, October 2007
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1 tweeter

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Title
Effect of a weight loss intervention on anthropometric measures and metabolic risk factors in pre- versus postmenopausal women
Published in
Nutrition Journal, October 2007
DOI 10.1186/1475-2891-6-31
Pubmed ID
Authors

Peter Deibert, Daniel König, Mara Z Vitolins, Ulrike Landmann, Ingrid Frey, Hans-Peter Zahradnik, Aloys Berg

Abstract

The present study examines changes in body weight, fat mass, metabolic and hormonal parameters in overweight and obese pre- and postmenopausal women who participated in a weight loss intervention. Seventy-two subjects were included in the analysis of this single arm study (premenopausal: 22 women, age 43.7 +/- 6.4 years, BMI 31.0 +/- 2.4 kg/m2; postmenopausal: 50 women, age 58.2 +/- 5.1 years, BMI 32.9 +/- 3.7 kg/m2). Weight reduction was achieved by the use of a meal replacement and fat-reduced diet. In addition, from week 6 to 24 participants attended a guided exercise program. Body composition was analyzed with the Bod Pod(R). Blood pressures were taken at every visit and blood was collected at baseline and closeout of the study to evaluate lipids, insulin, cortisol and leptin levels. BMI, fat mass, waist circumference, systolic blood pressure, triglycerides, glucose, leptin and cortisol were higher in the postmenopausal women at baseline. Both groups achieved a substantial and comparable weight loss (pre- vs. postmenopausal: 6.7 +/- 4.9 vs 6.7 +/- 4.4 kg; n.s.). However, in contrast to premenopausal women, weight loss in postmenopausal women was exclusively due to a reduction of fat mass (-5.3 +/- 5.1 vs -6.6 +/- 4.1 kg; p < 0.01). In premenopausal women 21% of weight loss was attributed to a reduction in lean body mass. Blood pressure, triglycerides, HDL-cholesterol, and glucose improved significantly only in postmenopausal women whereas total cholesterol and LDL-cholesterol were lowered significantly in both groups. Both groups showed comparable weight loss and in postmenopausal women weight loss was associated with a pronounced improvement in metabolic risk factors thereby reducing the prevalence of metabolic syndrome.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 73 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Malaysia 1 1%
New Zealand 1 1%
Unknown 71 97%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 14 19%
Student > Master 13 18%
Researcher 10 14%
Student > Ph. D. Student 5 7%
Student > Doctoral Student 5 7%
Other 13 18%
Unknown 13 18%
Readers by discipline Count As %
Medicine and Dentistry 17 23%
Nursing and Health Professions 11 15%
Agricultural and Biological Sciences 9 12%
Sports and Recreations 8 11%
Pharmacology, Toxicology and Pharmaceutical Science 4 5%
Other 9 12%
Unknown 15 21%

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 02 June 2015.
All research outputs
#2,738,806
of 5,180,561 outputs
Outputs from Nutrition Journal
#656
of 801 outputs
Outputs of similar age
#98,739
of 174,947 outputs
Outputs of similar age from Nutrition Journal
#32
of 35 outputs
Altmetric has tracked 5,180,561 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 801 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 17.5. This one is in the 13th percentile – i.e., 13% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 174,947 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 33rd percentile – i.e., 33% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 35 others from the same source and published within six weeks on either side of this one. This one is in the 5th percentile – i.e., 5% of its contemporaries scored the same or lower than it.