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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Worry About Caregiving Performance: A Confirmatory Factor Analysis
|
|---|---|
| Published in |
Frontiers in Medicine, March 2018
|
| DOI | 10.3389/fmed.2018.00079 |
| Pubmed ID | |
| Authors |
Ruijie Li, Mei Sian Chong, Peng Chew Mark Chan, Bee Gek Laura Tay, Noorhazlina Binte Ali, Wee Shiong Lim |
| Abstract |
Recent studies on the Zarit Burden Interview (ZBI) support the existence of a unique factor, worry about caregiving performance (WaP), beyond role and personal strain. Our current study aims to confirm the existence of WaP within the multidimensionality of ZBI and to determine if predictors of WaP differ from the role and personal strain. We performed confirmatory factor analysis (CFA) on 466 caregiver-patient dyads to compare between one-factor (total score), two-factor (role/personal strain), three-factor (role/personal strain and WaP), and four-factor models (role strain split into two factors). We conducted linear regression analyses to explore the relationships between different ZBI factors with socio-demographic and disease characteristics, and investigated the stage-dependent differences between WaP with role and personal strain by dyadic relationship. The four-factor structure that incorporated WaP and split role strain into two factors yielded the best fit. Linear regression analyses reveal that different variables significantly predict WaP (adult child caregiver and Neuropsychiatric Inventory Questionnaire (NPI-Q) severity) from role/personal strain (adult child caregiver, instrumental activities of daily living, and NPI-Q distress). Unlike other factors, WaP was significantly endorsed in early cognitive impairment. Among spouses, WaP remained low across Clinical Dementia Rating (CDR) stages until a sharp rise in CDR 3; adult child and sibling caregivers experience a gradual rise throughout the stages. Our results affirm the existence of WaP as a unique factor. Future research should explore the potential of WaP as a possible intervention target to improve self-efficacy in the milder stages of burden. |
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 % |
|---|---|---|
| Switzerland | 1 | 50% |
| Malaysia | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 50 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 50 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 6 | 12% |
| Student > Master | 5 | 10% |
| Researcher | 5 | 10% |
| Student > Doctoral Student | 3 | 6% |
| Other | 3 | 6% |
| Other | 7 | 14% |
| Unknown | 21 | 42% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 8 | 16% |
| Nursing and Health Professions | 6 | 12% |
| Medicine and Dentistry | 5 | 10% |
| Agricultural and Biological Sciences | 2 | 4% |
| Neuroscience | 2 | 4% |
| Other | 6 | 12% |
| Unknown | 21 | 42% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 22 March 2018.
All research outputs
#14,379,536
of 23,028,364 outputs
Outputs from Frontiers in Medicine
#2,476
of 5,798 outputs
Outputs of similar age
#188,845
of 332,500 outputs
Outputs of similar age from Frontiers in Medicine
#73
of 115 outputs
Altmetric has tracked 23,028,364 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 5,798 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.3. This one has gotten more attention than average, scoring higher than 52% 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 332,500 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 115 others from the same source and published within six weeks on either side of this one. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.