| Title |
Cardiometabolic disorder reduces survival prospects more than suboptimal body mass index irrespective of age or gender: a longitudinal study of 377,929 adults in Taiwan
|
|---|---|
| Published in |
BMC Public Health, February 2018
|
| DOI | 10.1186/s12889-018-5038-0 |
| Pubmed ID | |
| Authors |
Chih-Cheng Hsu, Mark L. Wahlqvist, I-Chien Wu, Yu-Hung Chang, I-Shou Chang, Yi-Fen Tsai, Ting-Ting Liu, Chwen Keng Tsao, Chao A. Hsiung |
| Abstract |
The effect of cardio-metabolic profile on the relationship of body mass index (BMI) with mortality is unclear. The aim of this study was to explore association between BMI and mortality at all ages, taking account of cardio-metabolic disorders. We followed 377,929 individuals (≥ 20 years), who registered for health checkups in 1996-2007, until 2008 and found 9490 deaths. From multivariable Cox proportional hazards models we estimated mortality hazard ratios (HR) for those in high blood pressure, hyperglycemia, high waist circumference, dyslipidemia, and different BMIs categories (the underweight [< 18.5 kg/m2], low normal weight [18.5-21.9 kg/m2], normal weight [22-23.9 kg/m2, the referent], overweight [24-26.9 kg/m2], obese1 [27-29.9 kg/m2], and obese2 [≥ 30 kg/m2]). Population attributable risk (PAR) provided estimates of the population mortality burden attributable to high blood pressure, hyperglycemia, high waist circumference, dyslipidemia, and deviant BMIs. Higher blood pressure, hyperglycemia, high waist circumference, and dyslipidemia were significantly predictive of higher mortality for nearly all ages. Compared with the referent BMI, underweight (HR = 1.69, 95% confidence interval = 1.51-1.90) and low normal weight (HR = 1.19, 1.11-1.28) were significant mortality risks, while overweight (HR = 0.82, 0.76-0.89) and obese1 (HR = 0.88, 0.79-0.97) were protective against premature death. The mortality impact of obesity was largely attributable to cardio-metabolic profile and attenuated by age. The population mortality burden with high blood pressure (PAR = 7.29%), hyperglycemia (PAR = 5.15%), high waist circumference (PAR = 4.24%), and dyslipidemia (PAR = 5.66%) was similar to that in the underweight (PAR = 5.50%) or low normal weight (PAR = 6.04%) groups. Findings for non-smokers and by gender were similar. The effect of BMI on mortality varies with age and is affected by cardio-metabolic status. Compared to any deviant BMI, abnormal cardio-metabolic status has a similar or even greater health impact at both the individual and population levels. |
Mendeley readers
The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 23 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 5 | 22% |
| Researcher | 4 | 17% |
| Student > Bachelor | 3 | 13% |
| Student > Postgraduate | 2 | 9% |
| Librarian | 1 | 4% |
| Other | 2 | 9% |
| Unknown | 6 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 5 | 22% |
| Nursing and Health Professions | 4 | 17% |
| Environmental Science | 1 | 4% |
| Veterinary Science and Veterinary Medicine | 1 | 4% |
| Sports and Recreations | 1 | 4% |
| Other | 3 | 13% |
| Unknown | 8 | 35% |
Attention Score in Context
This research output has an Altmetric Attention Score of 13. 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 13 March 2018.
All research outputs
#2,438,821
of 23,023,224 outputs
Outputs from BMC Public Health
#2,803
of 14,997 outputs
Outputs of similar age
#61,568
of 446,257 outputs
Outputs of similar age from BMC Public Health
#88
of 291 outputs
Altmetric has tracked 23,023,224 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 14,997 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.0. This one has done well, scoring higher than 81% 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 446,257 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 86% of its contemporaries.
We're also able to compare this research output to 291 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 69% of its contemporaries.