| Title |
Mortality of older persons living alone: Singapore Longitudinal Ageing Studies
|
|---|---|
| Published in |
BMC Geriatrics, October 2015
|
| DOI | 10.1186/s12877-015-0128-7 |
| Pubmed ID | |
| Authors |
Tze Pin Ng, Aizhen Jin, Liang Feng, Ma Shwe Zin Nyunt, Khuan Yew Chow, Lei Feng, Ngan Phoon Fong |
| Abstract |
We investigated the association of living alone with mortality among older persons, independently of marital, health and other factors, and explored its effect modification by age group, sex, marital status and physical functional disability. Using data from 8 years of mortality follow up (1 September 2003 to 31 December 2011) of 2553 participants in the Singapore Longitudinal Ageing Studies (SLAS) cohort, we estimated hazard ratio (HR) of mortality associated with living alone using Cox proportional hazard models. At baseline, 7.4 % (N = 189) of the participants were living alone, and 227 (8.9 %) died during the follow up period. Living alone was significantly associated with mortality 1.66 (95 % CI, 1.05-2.63), controlling for health status (hypertension, diabetes, chronic lung disease, stroke, heart disease, kidney failure, IADL-ADL disability and depressive symptoms), marital status and other variables (age, sex, housing type). Possible substantive effect modification by sex (p for interaction = 0.106) and marital status (p for interaction <0.115) were observed: higher among men (HR = 2.36, 95 % CI, 1.24-4.49) than women (HR = 1.14, 95 % CI, 0.58-2.22), and among single, divorce or widowed (HR = 2.26, 95 % CI, 1.24-4.10) than married individuals (HR = 0.83, 95 % CI, 0.30-2.31). Living alone was associated with increased mortality, independently of marital, health and other variables. The impact of living alone on mortality appeared to be stronger among men and those who were single, divorced or married. |
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 % |
|---|---|---|
| Singapore | 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 152 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 152 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 28 | 18% |
| Student > Ph. D. Student | 20 | 13% |
| Student > Master | 14 | 9% |
| Researcher | 11 | 7% |
| Student > Postgraduate | 8 | 5% |
| Other | 28 | 18% |
| Unknown | 43 | 28% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 28 | 18% |
| Nursing and Health Professions | 22 | 14% |
| Social Sciences | 14 | 9% |
| Psychology | 12 | 8% |
| Agricultural and Biological Sciences | 5 | 3% |
| Other | 19 | 13% |
| Unknown | 52 | 34% |
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 18 December 2015.
All research outputs
#18,432,465
of 22,835,198 outputs
Outputs from BMC Geriatrics
#2,631
of 3,189 outputs
Outputs of similar age
#200,816
of 279,239 outputs
Outputs of similar age from BMC Geriatrics
#27
of 35 outputs
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