| Title |
Targeted Messages Increase Dairy Consumption in Adults: a Randomized Controlled Trial
|
|---|---|
| Published in |
Annals of Behavioral Medicine, October 2016
|
| DOI | 10.1007/s12160-016-9828-2 |
| Pubmed ID | |
| Authors |
Mary E. Jung, Amy E. Latimer-Cheung, Jessica E. Bourne, Kathleen A. Martin Ginis |
| Abstract |
Dairy consumption amongst North Americans aged 30-50 has been declining. Targeted messages have been identified as a cost-efficient method through which to increase health-enhancing behavior, such as dairy intake. The aim of this study is to assess the utility of targeted, framed, efficacy-enhancing messages on calcium consumption from dairy in adults aged 30-50 in a randomized controlled trial. Seven hundred and thirty-two individuals (463 women, 269 men; M age = 40.57 years) were randomly assigned to one of five message conditions: (1) gain-framed (GF), (2) loss-framed (LF), (3) self-regulatory efficacy-enhancing (SRE), (4) GF plus SRE (GF + SRE), or (5) LF plus SRE (LF + SRE). Conditions were separate for men and women. Each condition received an emailed message on four consecutive days. Calcium intake from dairy, self-regulatory efficacy, outcome expectations, and outcome value were measured at baseline, 1 and 4 weeks following the intervention. Calcium intake from dairy significantly increased from baseline to week 1 post-intervention in all conditions (p < .001). A significant message condition x time interaction (p = .04) revealed that increases seen in the LF + SRE condition were maintained at week 4. All social cognitive constructs increased following the intervention (ps < .01). Self-regulatory efficacy (β = .28, p < .01) and outcome expectations (β = .19, p < .01) were significant predictors of subsequent calcium intake (week 4) from dairy. Taken together, it appears as though ensuring message content is targeted to the specific population's beliefs and motives is of importance when developing behavioral change intervention material. |
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 % |
|---|---|---|
| United States | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 50% |
| Practitioners (doctors, other healthcare professionals) | 1 | 50% |
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 % |
|---|---|---|
| Researcher | 13 | 17% |
| Student > Ph. D. Student | 11 | 15% |
| Student > Master | 11 | 15% |
| Student > Bachelor | 7 | 9% |
| Other | 6 | 8% |
| Other | 12 | 16% |
| Unknown | 15 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 19 | 25% |
| Social Sciences | 11 | 15% |
| Decision Sciences | 5 | 7% |
| Economics, Econometrics and Finance | 4 | 5% |
| Nursing and Health Professions | 3 | 4% |
| Other | 15 | 20% |
| Unknown | 18 | 24% |
Attention Score in Context
This research output has an Altmetric Attention Score of 42. 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 15 December 2016.
All research outputs
#830,275
of 22,896,955 outputs
Outputs from Annals of Behavioral Medicine
#114
of 1,390 outputs
Outputs of similar age
#17,371
of 313,742 outputs
Outputs of similar age from Annals of Behavioral Medicine
#6
of 30 outputs
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