| Title |
Comparison of two modes of stress measurement: Daily hassles and uplifts versus major life events
|
|---|---|
| Published in |
Journal of Behavioral Medicine, March 1981
|
| DOI | 10.1007/bf00844845 |
| Pubmed ID | |
| Authors |
Allen D. Kanner, James C. Coyne, Catherine Schaefer, Richard S. Lazarus |
| Abstract |
The standard life events methodology for the prediction of psychological symptoms was compared with one focusing on relatively minor events, namely, the hassles and uplifts of everyday life. Hassles and Uplifts Scales were constructed and administered once a month for 10 consecutive months to a community sample of middle-aged adults. It was found that the Hassles Scale was a better predictor of concurrent and subsequent psychological symptoms than were the life events scores, and that the scale shared most of the variance in symptoms accounted for by life events. When the effects of life events scores were removed, hassles and symptoms remained significantly correlated. Uplifts were positively related to symptoms for women but not for men. Hassles and uplifts were also shown to be related, although only modestly so, to positive and negative affect, thus providing discriminate validation for hassles and uplifts in comparison to measures of emotion. It was concluded that the assessment of daily hassles and uplifts may be a better approach to the prediction of adaptational outcomes than the usual life events approach. |
X Demographics
The data shown below were collected from the profiles of 13 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 7 | 54% |
| United Kingdom | 1 | 8% |
| Unknown | 5 | 38% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 13 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 990 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 17 | 2% |
| United Kingdom | 7 | <1% |
| Australia | 3 | <1% |
| Hong Kong | 2 | <1% |
| Switzerland | 1 | <1% |
| France | 1 | <1% |
| Indonesia | 1 | <1% |
| Norway | 1 | <1% |
| Austria | 1 | <1% |
| Other | 9 | <1% |
| Unknown | 947 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 168 | 17% |
| Student > Master | 150 | 15% |
| Student > Bachelor | 127 | 13% |
| Researcher | 112 | 11% |
| Student > Doctoral Student | 73 | 7% |
| Other | 189 | 19% |
| Unknown | 171 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 424 | 43% |
| Social Sciences | 86 | 9% |
| Medicine and Dentistry | 65 | 7% |
| Business, Management and Accounting | 38 | 4% |
| Nursing and Health Professions | 30 | 3% |
| Other | 133 | 13% |
| Unknown | 214 | 22% |
Attention Score in Context
This research output has an Altmetric Attention Score of 62. 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 16 September 2023.
All research outputs
#698,474
of 25,769,258 outputs
Outputs from Journal of Behavioral Medicine
#59
of 1,166 outputs
Outputs of similar age
#44
of 6,796 outputs
Outputs of similar age from Journal of Behavioral Medicine
#1
of 3 outputs
Altmetric has tracked 25,769,258 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 1,166 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 16.6. This one has done particularly well, scoring higher than 95% of its peers.
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