Evidence map›Paper›PMID 29955724›Full record

ArticleCurrent developments in nutrition2018

Web-Based Recruitment and Survey Methodology to Maximize Response Rates from Followers of Popular Diets: the Adhering to Dietary Approaches for Personal Taste (ADAPT) Feasibility Survey.

Micaela C Karlsen, Alice H Lichtenstein, Christina D Economos, Sara C Folta, Gail Rogers, Paul F Jacques, Kara A Livingston, Katherine M Rancaño, Nicola M McKeown

Abstract read
In one paragraph

Article in Current developments in nutrition, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

  1. Article
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  7. Review
  8. The Impact of Obesity on Childbirth Expectations.Journal of midwifery & women's health
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Micaela C KarlsenFriedman School of Nutrition Science and Policy, Tufts University, Boston, MA.
Alice H LichtensteinFriedman School of Nutrition Science and Policy, Tufts University, Boston, MA.
Christina D EconomosFriedman School of Nutrition Science and Policy, Tufts University, Boston, MA.
Sara C FoltaFriedman School of Nutrition Science and Policy, Tufts University, Boston, MA.
Gail RogersJean Mayer USDA Human Nutrition Research Center on Aging at Tufts University, Boston, MA.
Paul F JacquesFriedman School of Nutrition Science and Policy, Tufts University, Boston, MA.
Kara A LivingstonFriedman School of Nutrition Science and Policy, Tufts University, Boston, MA.
Katherine M RancañoFriedman School of Nutrition Science and Policy, Tufts University, Boston, MA.
Nicola M McKeownFriedman School of Nutrition Science and Policy, Tufts University, Boston, MA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAlthough there is interest in popular diets such as vegan and vegetarian, Paleo, and other "whole food" diets, existing cohort studies lack data for these subgroups. The use of electronic data capture and Web-based surveys in nutrition research may be valuable for future studies by allowing targeting of specific dietary subgroups.

objectiveThe aim was to perform a Feasibility Survey (FS) to assess the practicality of Web-based research methods to gather data and to maximize response rates among followers of popular diets.

methodsThe FS was an open, voluntary, 15-min survey conducted over 8 wk in the summer of 2015. Recruitment targeted self-identified followers of popular diets from a convenience sample, offering no incentives, via social media and e-newsletters shared by recruitment partners. Feasibility was assessed by number of responses, survey completion rate, distribution of diets, geographic location, and willingness to participate in future research.

resultsA total of 14,003 surveys were initiated; 13,787 individuals consented, and 9726 completed the survey (71% of consented). The numbers of unique visitors to the questionnaire site, view rate, and participation rate were not captured. Among respondents with complete demographic data, 83% were female and 93% were white. Diet designations were collapsed into the following groups: whole-food, plant-based (25%); vegan and raw vegan (19%); Paleo (14%); try to eat healthy (11%); vegetarian and pescatarian (9%); whole food (8%); Weston A Price (5%); and low-carbohydrate (low-carb) (4%). Forced-response, multiple-choice questions produced the highest response rates (0-2% selected "prefer not to answer"). The percentage who were willing to complete future online questionnaires was 86%, diet recall was 93%, and food diary was 75%; the percentages willing to provide a finger-stick blood sample, venipuncture blood sample, urine sample, and stool sample were 60%, 44%, 58%, and 42%, respectively.

conclusionsThis survey suggests that recruiting followers of popular diets is feasible with the use of Web-based methods. The unbalanced sample with respect to sex and race/ethnicity could be corrected with specific recruitment strategies using targeted online marketing techniques.

Indexed as

CHERRIESdietary patternselectronic data capturefeasibility surveyPaleopopular dietsrecruitmentsurvey methodologyveganWeb-based researchwhole-food plant based

Identifiers

PMID29955724
PMCPMC5998370

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.