Examining reactivity to intensive longitudinal ecological momentary assessment: 12-month prospective study

Purpose To examine the association between intensive, longitudinal ecological momentary assessment (EMA) and self-reported eating behaviors. Methods Secondary analysis of the EMPOWER study—a 12-month observational study that examined the microprocesses of relapse following intentional weight loss us...

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Veröffentlicht in:Eating and weight disorders 2023-02, Vol.28 (1), p.26-26, Article 26
Hauptverfasser: Cajita, Maan Isabella, Rathbun, Stephen L., Shiffman, Saul, Kline, Christopher E., Imes, Christopher C., Zheng, Yaguang, Ewing, Linda J., Burke, Lora E.
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container_end_page 26
container_issue 1
container_start_page 26
container_title Eating and weight disorders
container_volume 28
creator Cajita, Maan Isabella
Rathbun, Stephen L.
Shiffman, Saul
Kline, Christopher E.
Imes, Christopher C.
Zheng, Yaguang
Ewing, Linda J.
Burke, Lora E.
description Purpose To examine the association between intensive, longitudinal ecological momentary assessment (EMA) and self-reported eating behaviors. Methods Secondary analysis of the EMPOWER study—a 12-month observational study that examined the microprocesses of relapse following intentional weight loss using smartphone-administered EMA—was conducted. Participants were asked to complete four types of EMA surveys using a mobile app. For this analysis, only the number of completed random EMA surveys was used. Using linear mixed-effects modeling, we analyzed whether the number of completed random EMA surveys was associated with changes in self-reported dietary restraint, dietary disinhibition, and susceptibility to hunger measured using the Three-Factor Eating Questionnaire (TFEQ). Results During the 12-month study, 132 participants completed a mean of 1062 random EMA surveys (range: 673–1362). The median time it took for participants to complete random EMA surveys was 20 s and 90% of random EMA surveys were completed within 46 s. The number of completed random EMA surveys was not significantly associated with the TFEQ scores. Conclusions Intensive longitudinal EMA did not influence self-reported eating behaviors. The findings suggest that EMA can be used to frequently assess real-world eating behaviors with minimal concern about assessment reactivity. Nonetheless, care must be taken when designing EMA surveys—particularly when using self-reported outcome measures. Level of evidence Level III, prospective observational study.
doi_str_mv 10.1007/s40519-023-01556-1
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Methods Secondary analysis of the EMPOWER study—a 12-month observational study that examined the microprocesses of relapse following intentional weight loss using smartphone-administered EMA—was conducted. Participants were asked to complete four types of EMA surveys using a mobile app. For this analysis, only the number of completed random EMA surveys was used. Using linear mixed-effects modeling, we analyzed whether the number of completed random EMA surveys was associated with changes in self-reported dietary restraint, dietary disinhibition, and susceptibility to hunger measured using the Three-Factor Eating Questionnaire (TFEQ). Results During the 12-month study, 132 participants completed a mean of 1062 random EMA surveys (range: 673–1362). The median time it took for participants to complete random EMA surveys was 20 s and 90% of random EMA surveys were completed within 46 s. The number of completed random EMA surveys was not significantly associated with the TFEQ scores. Conclusions Intensive longitudinal EMA did not influence self-reported eating behaviors. The findings suggest that EMA can be used to frequently assess real-world eating behaviors with minimal concern about assessment reactivity. Nonetheless, care must be taken when designing EMA surveys—particularly when using self-reported outcome measures. 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Methods Secondary analysis of the EMPOWER study—a 12-month observational study that examined the microprocesses of relapse following intentional weight loss using smartphone-administered EMA—was conducted. Participants were asked to complete four types of EMA surveys using a mobile app. For this analysis, only the number of completed random EMA surveys was used. Using linear mixed-effects modeling, we analyzed whether the number of completed random EMA surveys was associated with changes in self-reported dietary restraint, dietary disinhibition, and susceptibility to hunger measured using the Three-Factor Eating Questionnaire (TFEQ). Results During the 12-month study, 132 participants completed a mean of 1062 random EMA surveys (range: 673–1362). The median time it took for participants to complete random EMA surveys was 20 s and 90% of random EMA surveys were completed within 46 s. The number of completed random EMA surveys was not significantly associated with the TFEQ scores. Conclusions Intensive longitudinal EMA did not influence self-reported eating behaviors. The findings suggest that EMA can be used to frequently assess real-world eating behaviors with minimal concern about assessment reactivity. Nonetheless, care must be taken when designing EMA surveys—particularly when using self-reported outcome measures. 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Methods Secondary analysis of the EMPOWER study—a 12-month observational study that examined the microprocesses of relapse following intentional weight loss using smartphone-administered EMA—was conducted. Participants were asked to complete four types of EMA surveys using a mobile app. For this analysis, only the number of completed random EMA surveys was used. Using linear mixed-effects modeling, we analyzed whether the number of completed random EMA surveys was associated with changes in self-reported dietary restraint, dietary disinhibition, and susceptibility to hunger measured using the Three-Factor Eating Questionnaire (TFEQ). Results During the 12-month study, 132 participants completed a mean of 1062 random EMA surveys (range: 673–1362). The median time it took for participants to complete random EMA surveys was 20 s and 90% of random EMA surveys were completed within 46 s. The number of completed random EMA surveys was not significantly associated with the TFEQ scores. Conclusions Intensive longitudinal EMA did not influence self-reported eating behaviors. The findings suggest that EMA can be used to frequently assess real-world eating behaviors with minimal concern about assessment reactivity. Nonetheless, care must be taken when designing EMA surveys—particularly when using self-reported outcome measures. Level of evidence Level III, prospective observational study.</abstract><cop>Cham</cop><pub>Springer International Publishing</pub><pmid>36849665</pmid><doi>10.1007/s40519-023-01556-1</doi><tpages>1</tpages><orcidid>https://orcid.org/0000-0002-2331-1229</orcidid><oa>free_for_read</oa></addata></record>
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source MEDLINE; Springer Nature - Complete Springer Journals; DOAJ Directory of Open Access Journals
subjects Brief Report
Eating behavior
Ecological Momentary Assessment
Feeding Behavior
Humans
Hunger
Medicine
Medicine & Public Health
Observational studies
Prospective Studies
Psychiatry
Self Report
title Examining reactivity to intensive longitudinal ecological momentary assessment: 12-month prospective study
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