| Title |
The Relationship Between Social Support and Subjective Well-Being Across Age
|
|---|---|
| Published in |
Social Indicators Research, June 2013
|
| DOI | 10.1007/s11205-013-0361-4 |
| Pubmed ID | |
| Authors |
Karen L. Siedlecki, Timothy A. Salthouse, Shigehiro Oishi, Sheena Jeswani |
| Abstract |
The relationships among types of social support and different facets of subjective well-being (i.e., life satisfaction, positive affect, and negative affect) were examined in a sample of 1,111 individuals between the ages of 18 and 95. Using structural equation modeling we found that life satisfaction was predicted by enacted and perceived support, positive affect was predicted by family embeddedness and provided support, and negative affect was predicted by perceived support. When personality variables were included in a subsequent model, the influence of the social support variables were generally reduced. Invariance analyses conducted across age groups indicated that there were no substantial differences in predictors of the different types of subjective well-being across age. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Canada | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Scientists | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 743 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 1 | <1% |
| Australia | 1 | <1% |
| Unknown | 741 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 117 | 16% |
| Student > Master | 104 | 14% |
| Student > Ph. D. Student | 85 | 11% |
| Student > Doctoral Student | 36 | 5% |
| Researcher | 30 | 4% |
| Other | 100 | 13% |
| Unknown | 271 | 36% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 250 | 34% |
| Social Sciences | 68 | 9% |
| Business, Management and Accounting | 28 | 4% |
| Medicine and Dentistry | 18 | 2% |
| Nursing and Health Professions | 17 | 2% |
| Other | 72 | 10% |
| Unknown | 290 | 39% |
Attention Score in Context
This research output has an Altmetric Attention Score of 69. 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 24 June 2023.
All research outputs
#629,393
of 25,837,817 outputs
Outputs from Social Indicators Research
#41
of 1,982 outputs
Outputs of similar age
#4,495
of 209,007 outputs
Outputs of similar age from Social Indicators Research
#1
of 20 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,982 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.0. This one has done particularly well, scoring higher than 97% 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 209,007 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 97% of its contemporaries.
We're also able to compare this research output to 20 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 95% of its contemporaries.