Project TwEATs. A feasibility study testing the use of automated text messaging to monitor appetite ratings in a free-living population

Schembre, Susan M.; Yuen, Jessica W Y

doi:10.1016/j.appet.2011.01.014

Cited by 26 publications

(19 citation statements)

References 19 publications

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“…We are confident in the quality of our data particularly due to the relatively low burden, low recall bias, and frequency of prompts. Another strength of this study is the automated text-messaging system designed specifically for Project TwEATs (Schembre & Yuen, 2011). The system, which was supported by social media websites, utilized the participants’ own mobile phones and service plans, which drastically reduced the cost burden that can be associated with EMA data collection methods that require application programming on specified platforms that quickly become obsolete due to the high-speed pace of technological advancements.…”

Section: Discussionmentioning

confidence: 99%

“…Results from Project TwEATs I demonstrated that automated text-messaging is an acceptable method to monitor perceived hunger ratings in a sample of adults over a consecutive week (Schembre & Yuen, 2011) representing an improvement over previously validated methodologies (Almiron-Roig et al, 2009; Mattes, Hollis, Hayes, & Stunkard, 2005; Stratton et al, 1998; Stubbs et al, 2000; Yeomans, Gray, Mitchell, & True, 1997). For Project TwEATs II we recruited a new sample of participants to explore the relationships between perceived psychological and physiological states, and eating behavior.…”

Section: Methodsmentioning

confidence: 99%

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The time-varying association between perceived stress and hunger within and between days

et al. 2015

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Objective Examine the association between perceived stress and hunger continuously over a week in free-living individuals. Methods Forty five young adults (70% women, 30% overweight/obese) ages 18 to 24 years (Mean = 20.7, SD = 1.5), with BMI between 17.4 and 36.3 kg/m2 (Mean = 23.6, SD = 4.0) provided between 513 and 577 concurrent ratings of perceived stress and hunger for 7 days via hourly, text messaging assessments and real-time eating records. Time-varying effect modeling was used to explore whether the within-day fluctuations in stress are related to perceived hunger assessed on a momentary basis. Results A generally positive stress–hunger relationship was confirmed, but we found that the strength of the relationship was not linear. Rather, the magnitude of the association between perceived stress and hunger changed throughout the day such that only during specific time intervals were stress and hunger significantly related. Specifically, the strength of the positive association peaked during late afternoon hours on weekdays (β = 0.31, p < .05) and it peaked during evening hours on weekend days (β = 0.56, p < .05). Conclusion This is the first empirical study to demonstrate potentially maladaptive, nonlinear stress–hunger associations that peak in the afternoon or evening hours. While we are unable to infer causality from these analyses, our findings provide empirical evidence for a potentially high-risk time of day for stress-induced eating. Replication of these findings in larger, more diverse samples will aid with the design and implementation of real-time intervention studies aimed at reducing stress-eating.

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Section: Discussionmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

The time-varying association between perceived stress and hunger within and between days

et al. 2015

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“…Other studies have also reported success with mobile technology-based interventions (120)(121)(122)(123)(124). Text messaging, in particular, has been used in a variety of behavioral intervention studies to provide reminders, cues, and positive reinforcement and enhance self-monitoring (125)(126)(127)(128).…”

Section: Population-based Nutrition Interventions In College Studentsmentioning

confidence: 95%

Coronary Heart Disease Risk Factors in College Students

Arts

Fernández

Lofgren

2014

Advances in Nutrition

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More than one-half of young adults aged 18-24 y have at least 1 coronary heart disease (CHD) risk factor and nearly one-quarter have advanced atherosclerotic lesions. The extent of atherosclerosis is directly correlated with the number of risk factors. Unhealthy dietary choices made by this age group contribute to weight gain and dyslipidemia. Risk factor profiles in young adulthood strongly predict long-term CHD risk. Early detection is critical to identify individuals at risk and to promote lifestyle changes before disease progression occurs. Despite the presence of risk factors and pathological changes, risk assessment and disease prevention efforts are lacking in this age group. Most young adults are not screened and are unaware of their risk. This review provides pathological evidence along with current risk factor prevalence data to demonstrate the need for early detection. Eighty percent of heart disease is preventable through diet and lifestyle, and young adults are ideal targets for prevention efforts because they are in the process of establishing lifestyle habits, which track forward into adulthood. This review aims to establish the need for increased screening, risk assessment, education, and management in young adults. These essential screening efforts should include the assessment of all CHD risk factors and lifestyle habits (diet, exercise, and smoking), blood pressure, glucose, and body mass index in addition to the traditional lipid panel for effective long-term risk reduction.

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“…Food craving is also short lived (Werthmann, Roefs, Nederkoorn, Mogg, Bradley, & Jansen, 2011), making response latency an important consideration in this area. Preliminary evidence suggests that EMA via electronic devices, and particularly text messaging, is feasible for assessing appetite and food intake (Schembre & Yuen, 2011), and even among children (Shapiro, Bauer, Hamer, Kordy, Ward, & Bulik, 2008). Building on this, a number of pilot studies have begun to test the efficacy of weight loss and other dietary interventions based on text messaging, generally with encouraging results (Cole-Lewis & Kershaw, 2010; Gerber, Stolley, Thompson, Sharp, & Fitzgibbon, 2009; Napolitano, Hayes, Bennett, Ives, & Foster, 2012; Patrick, Raab, Adams, Dillon, Zabinski, Rock, et al, 2009).…”

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confidence: 99%

Comparison of text messaging and paper-and-pencil for ecological momentary assessment of food craving and intake

2014

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Electronic devices such as mobile phones are quickly becoming a popular way to gather participant reports of everyday thoughts, feelings, and behaviors, including food cravings and intake. Electronic devices offer a number of advantages over alternative methods such as paper-and-pencil (PNP) assessment including automated prompts, on-the-fly data transmission, and participant familiarity with and ownership of the devices. However, only a handful of studies have systematically compared compliance between electronic and PNP methods of ecological momentary assessment (EMA), and none have examined eating specifically. Existing comparisons generally find greater compliance for electronic devices than PNP, but there is variability in the results across studies that may be accounted for by differences across research domains. Here, we compared the two EMA methods in an unexamined domain—eating—in terms of response rate and response latency, and their sensitivity to individual difference variables such as body mass index (BMI). Forty-four participants were randomly assigned to report on their food craving, food intake, and hunger four times each day for two weeks using either a PNP diary (N=19) or text messaging (TXT; N=25). Response rates were higher for TXT than PNP (96% vs. 70%) and latencies were faster (29 min vs. 79 min), and response rate and latency were less influenced by BMI in the TXT condition than in the PNP condition. These results support the feasibility of using text messaging for EMA in the eating domain, and more broadly highlight the ways that research domain-specific considerations (e.g., the importance of response latency in measuring short-lived food craving) interact with assessment modality during EMA.

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Project TwEATs. A feasibility study testing the use of automated text messaging to monitor appetite ratings in a free-living population

Cited by 26 publications

References 19 publications

The time-varying association between perceived stress and hunger within and between days

The time-varying association between perceived stress and hunger within and between days

Coronary Heart Disease Risk Factors in College Students

Comparison of text messaging and paper-and-pencil for ecological momentary assessment of food craving and intake

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