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Predictors of successful long-term weight loss maintenance: a two-year follow-up

Overview of attention for article published in BioPsychoSocial Medicine, June 2017
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#7 of 321)
  • High Attention Score compared to outputs of the same age (96th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

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9 news outlets
blogs
2 blogs
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6 X users
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1 YouTube creator

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mendeley
147 Mendeley
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Title
Predictors of successful long-term weight loss maintenance: a two-year follow-up
Published in
BioPsychoSocial Medicine, June 2017
DOI 10.1186/s13030-017-0099-3
Pubmed ID
Authors

Ryoko Sawamoto, Takehiro Nozaki, Tomoe Nishihara, Tomokazu Furukawa, Tomokazu Hata, Gen Komaki, Nobuyuki Sudo

Abstract

Weight regain is a common problem following weight loss intervention, with most people who seek treatment for obesity able to lose weight, but few able to sustain the changes in behavior required to prevent subsequent weight regain. The identification of factors that predict which patients will successfully maintain weight loss or who are at risk of weight regain after weight loss intervention is necessary to improve the current weight maintenance strategies. The aim of the present study is identify factors associated with successful weight loss maintenance by women with overweight or obesity who completed group cognitive behavioral treatment (CBT) for weight loss. Ninety women with overweight or obesity completed a 7-month weight loss intervention. The data of 86 who completed follow-up surveys 12 and 24 months after the end of the treatment was analyzed. Depression, anxiety, binge eating, food addiction, and eating behaviors were assessed before and after the weight loss intervention. Participants who lost at least 10% of their initial weight during the weight loss intervention and had maintained the loss at the month 24 follow-up were defined as successful. The intervention was successful for 27 participants (31.3%) and unsuccessful for 59 (68.6%). Multiple logistic regression analysis extracted larger weight reduction during the weight loss intervention, a lower disinhibition score, and a low food addiction score at the end of the weight loss intervention as associated with successful weight loss maintenance. The results suggest that larger weight reduction during the weight loss intervention and lower levels of disinhibition and food addiction at the end of the weight loss intervention predicted successful weight loss maintenance. Trial registry name: Development and validation of effective treatments of weight loss and weight-loss maintenance using cognitive behavioral therapy for obese patients. Registration ID: UMIN000006803 Registered 1 January 2012. URL: https://upload.umin.ac.jp/cgi-open-bin/ctr/ctr_view.cgi?recptno=R000008052.

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 147 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 147 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 26 18%
Student > Ph. D. Student 20 14%
Student > Bachelor 19 13%
Researcher 15 10%
Student > Doctoral Student 9 6%
Other 25 17%
Unknown 33 22%
Readers by discipline Count As %
Psychology 32 22%
Nursing and Health Professions 24 16%
Medicine and Dentistry 21 14%
Agricultural and Biological Sciences 10 7%
Social Sciences 5 3%
Other 18 12%
Unknown 37 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 88. 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 21 November 2023.
All research outputs
#467,492
of 24,848,516 outputs
Outputs from BioPsychoSocial Medicine
#7
of 321 outputs
Outputs of similar age
#10,034
of 322,547 outputs
Outputs of similar age from BioPsychoSocial Medicine
#1
of 8 outputs
Altmetric has tracked 24,848,516 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 321 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.2. This one has done particularly well, scoring higher than 98% of its peers.
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 322,547 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 96% of its contemporaries.
We're also able to compare this research output to 8 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them