Feasibility of text messaging for ecological momentary assessment of marijuana use in college students.

2014 ◽  
Vol 26 (3) ◽  
pp. 947-957 ◽  
Author(s):  
Michael M. Phillips ◽  
Kristina T. Phillips ◽  
Trent L. Lalonde ◽  
Kristy R. Dykema
Keyword(s):  
College Students ◽  
Ecological Momentary Assessment ◽  
Text Messaging ◽  
Marijuana Use ◽  
Ecological Momentary ◽  
Momentary Assessment

scholarly journals Using Text Messaging to Assess Adolescents' Health Information Needs: An Ecological Momentary Assessment

2013 ◽  
Vol 15 (3) ◽  
pp. e54 ◽  
Author(s):  
Rebecca Schnall ◽  
Anastasia Okoniewski ◽  
Victoria Tiase ◽  
Alexander Low ◽  
Martha Rodriguez ◽  
...  
Keyword(s):  
Health Information ◽  
Ecological Momentary Assessment ◽  
Text Messaging ◽  
Information Needs ◽  
Ecological Momentary ◽  
Momentary Assessment

A Real-Time Eating Detection System for Capturing Eating Behaviors In-the-Wild (Preprint)

2020 ◽  
Author(s):  
Mehrab Bin Morshed ◽  
Samruddhi Shreeram Kulkarni ◽  
Richard Li ◽  
Koustuv Saha ◽  
Lama Nachman ◽  
...  
Keyword(s):  
College Students ◽  
Eating Behavior ◽  
Ecological Momentary Assessment ◽  
Detection System ◽  
Contextual Information ◽  
Contextual Factors ◽  
Survey Study ◽  
In The Wild ◽  
Ecological Momentary ◽  
Momentary Assessment

BACKGROUND This paper describes a semi-automated eating detection system that leverages Ecological Momentary Assessment (EMA) questions to capture contextual factors upon detecting when an individual is eating. Our validation study demonstrates the efficacy of the system by deploying it in-the-wild among college students. OBJECTIVE This study builds a semi-automated eating detection system that leverages Ecological Momentary Assessment (EMA) questions to capture contextual factors upon detecting when an individual is eating. It also demonstrates the efficacy of the system by deploying it in-the-wild among college students. METHODS The eating detection system was deployed among 28 college students at a US institution over a period of three weeks. The participants reported various contextual information through EMAs triggered when the eating detection system correctly detected a meal episode. The EMA questions were designed after conducting a survey study with 162 students from the same campus. Responses from EMAs were used to define exclusion criteria. RESULTS Among the total consumed meals, 90% of breakfast, 99% of lunch, and 98% of dinner episodes were detected by our novel eating detection system. The eating detection system showed a high accuracy by capturing 95.67% of the meals out of 1,259 meals consumed by the participants. The eating detection classifier shows a precision of 80%, recall of 96%, and F1 of 87%. We found that over 99% of the meals were consumed with distractions. Such eating behavior is considered “unhealthy” and can lead to overeating and uncontrolled weight gain. Significant portions of meals were consumed alone (54.09%) in dorm rooms or apartment housing (31.19%). Our participants self-reported 63% of their meals as healthy. Together, these results have implications for designing technologies to encourage healthy eating behavior. CONCLUSIONS The presented eating detection system is the first of its kind to leverage EMAs to capture eating context, which has significant implications for wellbeing research. We reflect on the contextual data that has been gathered by our system and discuss how these insights can be used to design individual-specific interventions.

Feasibility of Using Text Messaging to Gather Qualitative Diary Data from COPD Sufferers: An Ecological Momentary Assessment and BYOD Approach (Preprint)

2021 ◽  
Author(s):  
Richard Stachel-Hilldorfer ◽  
Ben Stachel-Hilldorfer
Keyword(s):  
Data Collection ◽  
Ecological Momentary Assessment ◽  
Text Messaging ◽  
Qualitative Data ◽  
Chronically Ill ◽  
Diary Data ◽  
Depth Of Response ◽  
Ecological Momentary ◽  
Momentary Assessment ◽  
Sms Text Messaging

BACKGROUND The ubiquitous use of SMS text messaging offers a viable data collection method that aligns well with ecological momentary assessment (EMA) coupled with a bring-your-own-device (BYOD) approach. This unique conceptual model may extend to qualitative data collection through diary entries, which promises novel, in-the-moment insights for researchers interested in subjective patient-reported outcome measures (PROMS). OBJECTIVE This study aims to investigate the feasibility of using SMS text messaging to gather qualitative diary data from COPD sufferers, using EMA and participants’ mobile phones. It compares data gathered through this method with similar qualitative data gathered through email and with responses to quantitative, closed-ended categorical questions. METHODS This study involved 93 COPD-affected Alpha-1 sufferers who participated in a two-month long pilot intervention that used push messaging to respondents 2-to-3 times a day, either via SMS text messaging or email. In the first month of the study, respondents received 2 push messages a day urging them to answer closed-ended questions. The second month of the study integrated push messages which encouraged participants to engage in completion of daily, qualitative diary entries, in addition to the closed-ended questions. This research tracked and compared speed to answer and depth of responses between 69 (74%) individuals completing the push message requests through email and 24 (26%) who completed them through text messaging. It also compared completion rates of the diary entries to those of the closed-ended categorical questions. RESULTS Analysis of speed to answer, or the quickness in which respondents replied to the push messages, indicated that those answering by SMS text messaging were faster than those answering by email, both for categorical closed-ended questions and for diary questions. For the diary questions, specifically, those answering by SMS text messaging responded 6 hours and 29 minutes faster than those responding by email. We deemed this difference to be statistically significant. Depth of response, as measured by word count, varied between the two delivery methods as well, with those answering by email using, on average, 5.3 more words per entry than those answering by SMS text messaging (24.9 words per entry compared to 19.6 words per entry). Average compliance to the closed-ended questions over the study period was 94.4% (12,642/13,392) compared to 90.8% (2365/2604) for diary entries. This difference was also statistically significant. CONCLUSIONS SMS text messaging is a viable option for qualitative diary data collection among chronically ill individuals using an EMA and BYOD methodology. However, researchers must weigh considerations of time versus response rate and depth of response when employing SMS text messaging for this methodological approach. Benefits include quick response times, which matches the EMA method of responding as near to a trigger or intervention as possible. Weaknesses include the fact that qualitative diary data collected by SMS text messaging have inherent limits regarding depth of response. This study also recognized a lower compliance rate for those participating by SMS text messaging than by email, even though rates for both were quite high.

Momentary associations between affect and alcohol use in the daily lives of college students

2021 ◽  
Author(s):  
Farah Sayed ◽  
Amanda Lee McGowan ◽  
Mia Jovanova ◽  
Danielle Cosme ◽  
Yoona Kang ◽  
...  
Keyword(s):  
College Students ◽  
Alcohol Use ◽  
Negative Affect ◽  
Positive Affect ◽  
Ecological Momentary Assessment ◽  
Social Contexts ◽  
Drinking Motives ◽  
Daily Lives ◽  
Ecological Momentary ◽  
Momentary Assessment

Objective: Alcohol is theorized to be motivated by desires to regulate negative affect and/or to enhance positive affect. We tested the association between momentary affect and alcohol use in the daily lives of college students, hypothesizing that alcohol use would be more likely to follow increases in positive affect and that alcohol use would not be strongly associated with negative affect. Method: Using two ecological momentary assessment (EMA) studies consisting of two prompts per day for 28 days, we used multilevel hurdle models to test for lagged associations between positive and negative affect and alcohol use. There were 108 participants (60.19%; mean age = 20.20, SD=1.69) in EMA study 1 and 268 participants (60.03%women, mean age = 20.22, SD=1.96) in EMA study 2. To provide context for the affect-alcohol associations, we collected data on whether participants drank alone or with others at each drinking occasion and the drinking motives of participants using the Drinking Motives Questionnaire. Results: Alcohol use was more likely to occur following increases in positive affect. No significant associations emerged between fluctuations in negative affect and alcohol use. This pattern of findings was observed across both ecological momentary assessment studies. The majority of alcohol use occurred in social contexts. Conclusions: College students who report primarily social and enhancement motives for drinking and who seldom drink alone are more likely to drink following increases in positive affect.

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