| Title |
Fruit and Vegetable Intake: the Interplay of Planning, Social Support, and Sex
|
|---|---|
| Published in |
International Journal of Behavioral Medicine, March 2018
|
| DOI | 10.1007/s12529-018-9718-z |
| Pubmed ID | |
| Authors |
Daniela Lange, Jana Corbett, Nina Knoll, Ralf Schwarzer, Sonia Lippke |
| Abstract |
Intention and planning are important predictors of dietary change. However, little attention has been given yet to the relationship between them as a function of other social-cognitive factors and their interplay with socio-demographics such as sex. In an observational study (1520 women, 430 men) with two measurement points in time, intention (predictor), planning (mediator), social support (first moderator), and sex (second moderator) were assessed to predict changes in diet separately for fruit and vegetable intake. All predictors had a main effect on fruit intake but no interactions emerged. For vegetable intake, the mediation-chain was qualified by a three-way interaction: for women, the lower the perceived social support, the more the translation of planning into behavior; for men, the higher the perceived social support, the more the translation of planning into behavior. Even though intention and planning are predictors of dietary change, they operate differently under specific conditions (level of social support), for specific subgroups (men vs. women), and for different target behaviors (fruit vs. vegetable intake). These results suggest to further examine the mechanisms by which intentions are translated into behavior via planning. |
X Demographics
The data shown below were collected from the profiles of 8 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 | 1 | 13% |
| Australia | 1 | 13% |
| United States | 1 | 13% |
| Finland | 1 | 13% |
| Ireland | 1 | 13% |
| Unknown | 3 | 38% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 3 | 38% |
| Practitioners (doctors, other healthcare professionals) | 2 | 25% |
| Members of the public | 2 | 25% |
| Science communicators (journalists, bloggers, editors) | 1 | 13% |
Mendeley readers
The data shown below were compiled from readership statistics for 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 33 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 6 | 18% |
| Student > Doctoral Student | 4 | 12% |
| Student > Master | 4 | 12% |
| Professor | 4 | 12% |
| Researcher | 2 | 6% |
| Other | 4 | 12% |
| Unknown | 9 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 8 | 24% |
| Medicine and Dentistry | 6 | 18% |
| Nursing and Health Professions | 3 | 9% |
| Computer Science | 1 | 3% |
| Sports and Recreations | 1 | 3% |
| Other | 3 | 9% |
| Unknown | 11 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 28 May 2018.
All research outputs
#6,173,764
of 23,028,364 outputs
Outputs from International Journal of Behavioral Medicine
#314
of 906 outputs
Outputs of similar age
#109,110
of 331,443 outputs
Outputs of similar age from International Journal of Behavioral Medicine
#10
of 14 outputs
Altmetric has tracked 23,028,364 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 906 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.2. This one has gotten more attention than average, scoring higher than 65% 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 331,443 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 66% of its contemporaries.
We're also able to compare this research output to 14 others from the same source and published within six weeks on either side of this one. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.