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Sleep onset latency is related with reduced bone mineral density in elderly people with insomnia: a retrospective study

Overview of attention for article published in Clinical Interventions in Aging, August 2018
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (87th percentile)
  • High Attention Score compared to outputs of the same age and source (86th percentile)

Mentioned by

news
1 news outlet
twitter
10 tweeters

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
2 Mendeley
Title
Sleep onset latency is related with reduced bone mineral density in elderly people with insomnia: a retrospective study
Published in
Clinical Interventions in Aging, August 2018
DOI 10.2147/cia.s161922
Pubmed ID
Authors

Qian Tong, Wanzhen Wu, Qing Wu, Yanbo Yu, Xiaoling Lv, Bozhong Wang, Guofu Wang

Abstract

Inconsistent outcome about association between insufficient sleep and bone mineral density (BMD) has been reported. The present study aimed to determine whether BMD was associated with score of Pittsburgh Sleep Quality Index (PSQI). A total of 410 patients (mean age 81.6±5.9 years) attending our hospital for evaluation of sleep were retrospectively studied. Dual-Energy X-ray Absorptiometry was used to measure BMD and T-score at femoral neck and lumbar spines over L2-L4 regions. Subjective sleep status was evaluated by the PSQI questionnaires. The Mann-Whitney U test and chi-square analysis were used to compare continuous variables and categorical variables, respectively. Spearman correlation test was conducted to find the relationship between BMD and other clinical factors. Multinomial logistic regressions analysis was performed to analyze independent factors predicting BMD. Majority of the participants with osteoporosis (OP) were female and had lower body mass index (BMI) and higher sleep onset latency score. Spearman correlation test showed that gender, BMI, score of total PSQI, and sleep onset latency were significantly related to BMD and T-score in femoral neck and lumbar region L2-L4. Finally, multinomial logistic regression analysis demonstrated that gender and age were independent factors for OP and osteopenia and that after adjustment for gender, age, and BMI, sleep onset latency of <15 minutes (OR: 0.38; 95% CI: 0.15-0.96; P=0.04) and 16-30 minutes (OR: 0.37; 95% CI: 0.17-0.79; P=0.01) were less likely to have reduced BMD. There was a significant association between BMD and sleep onset latency, suggesting that, in elderly patients with sleep problem, BMD measurement and intervention for OP might be valuable.

Twitter Demographics

The data shown below were collected from the profiles of 10 tweeters 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 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 2 100%
Unspecified 2 100%
Readers by discipline Count As %
Unspecified 2 100%
Nursing and Health Professions 1 50%
Sports and Recreations 1 50%

Attention Score in Context

This research output has an Altmetric Attention Score of 16. 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 20 September 2018.
All research outputs
#888,204
of 12,673,944 outputs
Outputs from Clinical Interventions in Aging
#106
of 1,305 outputs
Outputs of similar age
#34,162
of 270,521 outputs
Outputs of similar age from Clinical Interventions in Aging
#3
of 22 outputs
Altmetric has tracked 12,673,944 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,305 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.5. This one has done particularly well, scoring higher than 91% 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 270,521 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 87% of its contemporaries.
We're also able to compare this research output to 22 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.