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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Does parental and adolescent participation in an e-health lifestyle modification intervention improve weight outcomes?
|
|---|---|
| Published in |
BMC Public Health, April 2017
|
| DOI | 10.1186/s12889-017-4220-0 |
| Pubmed ID | |
| Authors |
Andrew W. Tu, Allison W. Watts, Jean-Pierre Chanoine, Constadina Panagiotopoulos, Josie Geller, Rollin Brant, Susan I. Barr, Louise Mâsse |
| Abstract |
Few studies have evaluated the effect of adherence to a lifestyle intervention on adolescent health outcomes. The objective of this study was to determine whether adolescent and parental adherence to components of an e-health intervention resulted in change in adolescent body mass index (BMI) and waist circumference (WC) z-scores in a sample of overweight/obese adolescents. In total, 159 overweight/obese adolescents and their parents participated in an 8-month e-health lifestyle intervention. Each week, adolescents and their parents were asked to login to their respective website and to monitor their dietary, physical activity, and sedentary behaviours. We examined participation (percentage of webpages viewed [adolescents]; number of weeks logged in [parents]) and self-monitoring (number of weeks behaviors were tracked) rates. Linear mixed models and multiple regressions were used to examine change in adolescent BMI and WC z-scores and predictors of adolescent participation and self-monitoring, respectively. Adolescents and parents completed 28% and 23%, respectively, of the online component of the intervention. Higher adolescent participation rate was associated with a decrease in the slope of BMI z-score but not with change in WC z-score. No association was found between self-monitoring rate and change in adolescent BMI or WC z-scores. Parent participation was not found to moderate the relationship between adolescent participation and weight outcomes. Developing strategies for engaging and promoting supportive interactions between adolescents and parents are needed in the e-health context. Findings demonstrate that improving adolescents' adherence to e-health lifestyle intervention can effectively alter the weight trajectory of overweight/obese adolescents. |
X Demographics
The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 3 | 50% |
| Australia | 1 | 17% |
| Unknown | 2 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 33% |
| Members of the public | 2 | 33% |
| Science communicators (journalists, bloggers, editors) | 1 | 17% |
| Practitioners (doctors, other healthcare professionals) | 1 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 180 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 180 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 23 | 13% |
| Student > Ph. D. Student | 21 | 12% |
| Student > Bachelor | 21 | 12% |
| Researcher | 15 | 8% |
| Student > Doctoral Student | 12 | 7% |
| Other | 28 | 16% |
| Unknown | 60 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Nursing and Health Professions | 34 | 19% |
| Medicine and Dentistry | 19 | 11% |
| Psychology | 19 | 11% |
| Social Sciences | 14 | 8% |
| Computer Science | 5 | 3% |
| Other | 22 | 12% |
| Unknown | 67 | 37% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 06 May 2017.
All research outputs
#8,156,632
of 25,366,663 outputs
Outputs from BMC Public Health
#8,733
of 17,009 outputs
Outputs of similar age
#117,609
of 316,272 outputs
Outputs of similar age from BMC Public Health
#138
of 234 outputs
Altmetric has tracked 25,366,663 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 17,009 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.6. This one is in the 48th percentile – i.e., 48% 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 316,272 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 62% of its contemporaries.
We're also able to compare this research output to 234 others from the same source and published within six weeks on either side of this one. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.