↓ Skip to main content

Trajectories of body mass index among Canadian seniors and associated mortality risk

Overview of attention for article published in BMC Public Health, December 2017
Altmetric Badge

Mentioned by

twitter
1 X user

Citations

dimensions_citation
21 Dimensions

Readers on

mendeley
26 Mendeley
Title
Trajectories of body mass index among Canadian seniors and associated mortality risk
Published in
BMC Public Health, December 2017
DOI 10.1186/s12889-017-4917-0
Pubmed ID
Authors

Meng Wang, Yanqing Yi, Barbara Roebothan, Jennifer Colbourne, Victor Maddalena, Guang Sun, Peizhong Peter Wang

Abstract

This study aims to characterize the heterogeneity in BMI trajectories and evaluate how different BMI trajectories predict mortality risk in Canadian seniors. Data came from the Canadian National Population Health Survey (NPHS, 1994-2011) and 1480 individuals aged 65-79 years with at least four BMI records were included in this study. Group-based trajectory model was used to identify distinct subgroups of longitudinal trajectories of BMI measured over 19 years for men and women. Cox proportional hazards models were used to examine the association between BMI trajectories and mortality risks. Distinct trajectory patterns were found for men and women: 'Normal Weight-Down'(N-D), 'Overweight-Normal weight' (OV-N), 'Obese I-Down' (OB I-D), and 'Obese II- Down' (OB II-D) for women; and 'Normal Weight-Down' (N-D), 'Overweight-Normal weight' (OV-N), 'Overweight-Stable' (OV-S), and 'Obese-Stable' (OB-S) for men. Comparing with OV-N, men in the OV-S group had the lowest mortality risk followed by the N-D (HR = 1.66) and OB-S (HR = 1.98) groups, after adjusting for covariates. Compared with OV-N, women in the OB II-D group with three or more chronic health conditions had higher mortality risk (HR = 1.61); however, women in OB II-D had lower risk (HR = 0.56) if they had less than three conditions. The course of BMI over time in Canadian seniors appears to follow one of four different patterns depending on gender. The findings suggest that men who were overweight at age 65 and lost weight over time had the lowest mortality risk. Interestingly, obese women with decreasing BMI have different mortality risks, depending on their chronic health conditions. The findings provide new insights concerning the associations between BMI and mortality risk.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 26 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 27%
Student > Master 5 19%
Student > Bachelor 2 8%
Student > Doctoral Student 2 8%
Other 2 8%
Other 6 23%
Unknown 2 8%
Readers by discipline Count As %
Medicine and Dentistry 8 31%
Nursing and Health Professions 5 19%
Social Sciences 3 12%
Engineering 2 8%
Business, Management and Accounting 1 4%
Other 4 15%
Unknown 3 12%
Attention Score in Context

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 04 December 2017.
All research outputs
#18,577,751
of 23,009,818 outputs
Outputs from BMC Public Health
#12,957
of 14,991 outputs
Outputs of similar age
#326,994
of 439,388 outputs
Outputs of similar age from BMC Public Health
#159
of 181 outputs
Altmetric has tracked 23,009,818 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 14,991 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.0. This one is in the 6th percentile – i.e., 6% 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 439,388 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 181 others from the same source and published within six weeks on either side of this one. This one is in the 4th percentile – i.e., 4% of its contemporaries scored the same or lower than it.