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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Prevalence of frailty and contributory factors in three Chinese populations with different socioeconomic and healthcare characteristics
|
|---|---|
| Published in |
BMC Geriatrics, December 2015
|
| DOI | 10.1186/s12877-015-0160-7 |
| Pubmed ID | |
| Authors |
Jean Woo, Zheng Zheng, Jason Leung, Piu Chan |
| Abstract |
Frailty predicts dependence and mortality, and is an important health indicator for aging populations. Comparing frailty prevalence between populations of the same ethnicity but different socioeconomic, lifestyle, health and social care systems, and environmental characteristics would address the role of these factors in contributing to frailty. We compare frailty prevalence and contributory factors across three Chinese populations: Beijing rural, Beijing urban, and Hong Kong (urban). Older people aged 65 years and above living in the community were invited to respond to a general health questionnaire covering demographic, socioeconomic, medical and drug histories, geriatric syndromes, assessment of physical and cognitive functioning, psychological wellbeing and nutritional status. Frailty is defined as an index calculated from multiple deficits > = 0.25 (FI). The ratio of FI/life expectancy at birth was used as an indicator of compression of morbidity. Risk factors and attributable fraction for frailty were compared across the three cohorts. The prevalence of frailty increases with age in all three cohorts, and was lower among rural compared with urban (Beijing and Hong Kong) populations. The highest FI/LE ratio was observed in the Beijing urban population, followed by Hong Kong, with the Beijing rural population having the lowest ratio. Risk factors for frailty were similar in all three populations. Those having the highest ORs were multi-morbidity (number of diseases > = 3), polypharmacy (number of drugs > = 4), age 85+, female gender, followed by low education level, and physical inactivity. For all three cohorts, age and multi-morbidity constitute the highest attributable fraction, and were highest in the Beijing rural cohort. A major difference between the Beijing and Hong Kong cohorts is the high AF from polypharmacy in Beijing and the 'protective' contribution of being married; and the effect of being a teetotaler in the Hong Kong cohort. This comparison draws attention to the importance of frailty prevention for ageing populations. |
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.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 146 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 146 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 20 | 14% |
| Student > Ph. D. Student | 15 | 10% |
| Student > Bachelor | 15 | 10% |
| Researcher | 14 | 10% |
| Student > Doctoral Student | 13 | 9% |
| Other | 28 | 19% |
| Unknown | 41 | 28% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 34 | 23% |
| Nursing and Health Professions | 22 | 15% |
| Social Sciences | 9 | 6% |
| Psychology | 8 | 5% |
| Agricultural and Biological Sciences | 3 | 2% |
| Other | 23 | 16% |
| Unknown | 47 | 32% |
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 13 July 2016.
All research outputs
#20,335,770
of 22,880,691 outputs
Outputs from BMC Geriatrics
#2,871
of 3,204 outputs
Outputs of similar age
#326,387
of 389,128 outputs
Outputs of similar age from BMC Geriatrics
#56
of 59 outputs
Altmetric has tracked 22,880,691 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,204 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.4. This one is in the 1st percentile – i.e., 1% 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 389,128 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 59 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.