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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Adolescent body weight and health-related quality of life rated by adolescents and parents: the issue of measurement bias
|
|---|---|
| Published in |
BMC Public Health, November 2015
|
| DOI | 10.1186/s12889-015-2533-4 |
| Pubmed ID | |
| Authors |
Pranav K. Gandhi, Dennis A. Revicki, I-Chan Huang |
| Abstract |
Evidence is sparse about whether body weight categories in adolescents are associated with differences in pediatric HRQoL rated by adolescents and parents. Additionally, it is unknown whether HRQoL rated by individuals with different body mass index (BMI) weight categories is psychometrically comparable. This study aimed to assess whether difference in pediatric HRQoL rated by adolescents and their parents was explained by BMI weight status, and to test measurement properties of HRQoL items related to weight categories using differential item functioning (DIF) methodology. DIF refers to the situation when the individuals across subgroups rate an item differently (e.g., item score three by one subgroup and four by another) given the same underlying construct. A cross-sectional study utilizing a sample of parents (n = 323) and their adolescents aged 15-18 years old (n = 323) who enrolled in Florida's Medicaid. Adolescent self-reports and parent proxy-reports of the Pediatric Quality of Life Inventory was adopted to measure pediatric HRQoL. We classified body weight categories as normal weight, overweight, and obesity. A Multiple Indicator Multiple Cause (MIMIC) method was used to assess DIF associated with BMI weight status, especially testing the disparity in the parameters of different weight categories (reference: lower weight category) associated with a response to a HRQoL item conditioning on the same underlying HRQoL. DIF analyses were conducted by adolescent self-reports and parent proxy-reports. Parents reported lower pediatric HRQoL across all domains than adolescents did. Excess body weight (combined overweight and obese) was significantly associated with a greater discrepancy in the rating of emotional and total functioning between adolescents and parents (p < 0.05). DIF associated with BMI weight categories was identified by two items in adolescent self-reports and five items in parent proxy-reports. Adolescents' BMI weight categories significantly contribute to a difference in the rating of pediatric HRQoL by adolescents and parents. |
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 75 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 75 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 13 | 17% |
| Student > Master | 11 | 15% |
| Student > Ph. D. Student | 6 | 8% |
| Other | 4 | 5% |
| Student > Doctoral Student | 4 | 5% |
| Other | 15 | 20% |
| Unknown | 22 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 17 | 23% |
| Psychology | 9 | 12% |
| Nursing and Health Professions | 8 | 11% |
| Agricultural and Biological Sciences | 6 | 8% |
| Social Sciences | 3 | 4% |
| Other | 8 | 11% |
| Unknown | 24 | 32% |
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 02 December 2015.
All research outputs
#15,351,145
of 22,834,308 outputs
Outputs from BMC Public Health
#11,350
of 14,878 outputs
Outputs of similar age
#227,219
of 387,533 outputs
Outputs of similar age from BMC Public Health
#175
of 228 outputs
Altmetric has tracked 22,834,308 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 14,878 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.9. This one is in the 16th percentile – i.e., 16% of its peers scored the same or lower than it.
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 387,533 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 228 others from the same source and published within six weeks on either side of this one. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.