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Metric properties of the “prescribe healthy life” screening questionnaire to detect healthy behaviors: a cross-sectional pilot study

Overview of attention for article published in BMC Public Health, December 2016
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Title
Metric properties of the “prescribe healthy life” screening questionnaire to detect healthy behaviors: a cross-sectional pilot study
Published in
BMC Public Health, December 2016
DOI 10.1186/s12889-016-3898-8
Pubmed ID
Authors

Paola Bully, Alvaro Sanchez, Gonzalo Grandes, Haizea Pombo, Ma Soledad Arietalenizbeaskoa, Veronica Arce, Catalina Martinez, on behalf of the PVS Group

Abstract

Feasible and valid assessment of healthy behaviors is the first step for integrating health promotion in routine primary care. Therefore, the aim of this study was to develop and evaluate the validity and reliability of the "prescribe healthy life" screening questionnaire, a brief tool for detecting physical activity levels, consumption of fruit and vegetables, tobacco use and patients' compliance with minimal recommendations. An observational cross-sectional study to determine the reliability and validity of this questionnaire by means of mixed (qualitative and quantitative) methods. Thirteen healthcare professionals designed the questionnaire. One hundred and twenty-six patients from three primary care health centers within Osakidetza (Basque Health Service, Spain) filled in the "Prescribe Healthy Life" Screening Questionnaire and completed an accelerometry record, the PREDIMED Food Frequency Questionnaire and a co-oximetry as gold standards for physical activity, dietary intake and tobacco use, respectively. Correlations, sensitivities, specificities, likelihood ratios and test-retest reliability were calculated. Additionally, the feasibility and utility of the questionnaire were evaluated. Both reliability and concurrent validity for the consumption of fruit and vegetables (rspearman = 0.59, rspearman = 0.50) and tobacco use (rspearman = 0.76, r = 0.69) as their overall performance in the detection of unhealthy diet (accuracy = 76.8%, LR + = 3.1 and LR- = 0.31) and smokers (accuracy = 86.8%, LR + = 6.1 and LR- = 0.05) were good. Meanwhile, the reproducibility (0.38), the correlation between the minutes of physical activity (0.34) and LR+ (1.00) for detection of physical activity were low. On average the questionnaire was considered by patients easy to understand, easy to fill in, short (5-6 min) and useful. The "Prescribe Healthy Life" Screening Questionnaire, PVS-SQ, has proved to be a simple and practical tool for use in the actual context of primary care, with guarantees of validity and reliability for the diet and tobacco scales. However, the physical activity scale show unsatisfactory results, and alternative questions ought to be tested.

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Mendeley readers

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 %
United Kingdom 1 1%
Unknown 74 99%

Demographic breakdown

Readers by professional status Count As %
Researcher 13 17%
Student > Bachelor 10 13%
Student > Master 7 9%
Student > Ph. D. Student 6 8%
Professor > Associate Professor 5 7%
Other 14 19%
Unknown 20 27%
Readers by discipline Count As %
Medicine and Dentistry 23 31%
Nursing and Health Professions 13 17%
Computer Science 3 4%
Psychology 3 4%
Agricultural and Biological Sciences 2 3%
Other 10 13%
Unknown 21 28%
Attention Score in Context

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 17 January 2017.
All research outputs
#14,908,193
of 22,940,083 outputs
Outputs from BMC Public Health
#10,964
of 14,954 outputs
Outputs of similar age
#241,100
of 419,989 outputs
Outputs of similar age from BMC Public Health
#144
of 193 outputs
Altmetric has tracked 22,940,083 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 14,954 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 23rd percentile – i.e., 23% 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 419,989 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 39th percentile – i.e., 39% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 193 others from the same source and published within six weeks on either side of this one. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.