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Attention Score in Context
| Title |
Life satisfaction among elderly patients in Nepal: associations with nutritional and mental well-being
|
|---|---|
| Published in |
Health and Quality of Life Outcomes, June 2018
|
| DOI | 10.1186/s12955-018-0947-2 |
| Pubmed ID | |
| Authors |
Saruna Ghimire, Binaya Kumar Baral, Isha Karmacharya, Karen Callahan, Shiva Raj Mishra |
| Abstract |
Nepal's demography is aging rapidly, yet few studies to date have examined how this has affected the health and well-being of the elderly, defined as those above 60 years in Nepal's Senior Citizen Act (2006). Our study, abbreviated NepEldQOLII, aims to assess perceived life satisfaction, and evaluate its relationship with nutritional health and mental well-being among the burgeoning Nepalese elderly population. A cross-sectional survey among 289 Nepalese elderly, aged ≥60 years, attending an outpatient clinic of a hospital in Kathmandu, Nepal was conducted. Nutritional status, depression, and life satisfaction were assessed by a mini-nutritional assessment scale (range: 0-14), a geriatric depression scale (range: 0-15), and a satisfaction with life scale (range: 5-35), respectively. Mediation analyses, adjusted for age, sex, marital status, and family type, were used to assess mediating relationships between nutritional and mental wellbeing with life satisfaction as the outcome. Approximately 21% of the participants were dissatisfied with their life. Life satisfaction was positively associated with being married, high family income, involvement in active earning, and a high nutritional score. Conversely, life satisfaction was inversely associated with living in a nuclear (as opposed to joint) family, the perception of having worse health than peers, the perception of being ignored/hated due to old age, and a higher depression score. In mediation analyses, both nutrition (β = 0.48, bias-corrected and accelerated (BCa) 95% CI: 0.27, 0.69) and depression (β = - 0.87, BCa 95% CI: -1.01, - 0.74) had significant direct associations with life satisfaction. Furthermore, both nutrition (β = 0.30, BCa 95% CI: 0.13, 0.49) and depression (β = - 0.07, BCa 95% CI: -0.14, - 0.03) mediate each other's association with life satisfaction. Nutritional score mediated 7% of the total association between depression and life satisfaction; depression mediated 38% of the total association between nutrition and life satisfaction. Life satisfaction shows a pattern of decline as nutritional and mental health status decrease. Both depression and under-nutrition had a significant association with life satisfaction. The pathway by which nutrition affects life satisfaction is influenced by depression as a mediator. Moreover, nutritional status explained a small portion of the relationship between depression and life satisfaction. These observed preliminary findings should be confirmed in future longitudinal studies. |
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 210 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 210 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 36 | 17% |
| Student > Bachelor | 21 | 10% |
| Researcher | 19 | 9% |
| Other | 11 | 5% |
| Lecturer | 11 | 5% |
| Other | 29 | 14% |
| Unknown | 83 | 40% |
| Readers by discipline | Count | As % |
|---|---|---|
| Nursing and Health Professions | 37 | 18% |
| Psychology | 22 | 10% |
| Medicine and Dentistry | 20 | 10% |
| Social Sciences | 18 | 9% |
| Agricultural and Biological Sciences | 5 | 2% |
| Other | 13 | 6% |
| Unknown | 95 | 45% |
Attention Score in Context
This research output has an Altmetric Attention Score of 8. 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 07 June 2018.
All research outputs
#3,981,376
of 23,088,369 outputs
Outputs from Health and Quality of Life Outcomes
#398
of 2,188 outputs
Outputs of similar age
#77,358
of 329,367 outputs
Outputs of similar age from Health and Quality of Life Outcomes
#35
of 72 outputs
Altmetric has tracked 23,088,369 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,188 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one has done well, scoring higher than 77% 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 329,367 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 76% of its contemporaries.
We're also able to compare this research output to 72 others from the same source and published within six weeks on either side of this one. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.