October 2017 Recent Literature

The recent experience sampling research from October is here! Keep checking this list as more articles are published.

  • Adolescent Studies
  • Alcohol & Drugs
  • Diet & Nutrition
  • Emotion & Regulation
  • General Psychological Topics
  • Medical Topics
  • Physical Activity
  • Physiological Sensors
  • Psychopathology
  • Smoking Cessation
  • Statistics/Methodology

Adolescent Studies

Alcohol & Drugs

Diet & Nutrition

Emotion & Regulation

Predicting Short Term Mood Developments among Depressed Patients using Adherence and Ecological Momentary Assessment Data

With the use of 143 participants, a study was conducted to analyze and predict short-term mood developments among depressed patients. With the data collected from regular EMA surveys and response times, researchers were able to conclude that mood predictions can be made quite accurately.

The role of appraisal in dysphoric affect reactivity to positive laboratory films and daily life events in depression

In this study, EMA is used to analyze the dysphoric affect, found in patients diagnosed with depression. Researchers gathered participants and observed data regarding their reactivity to positive laboratory films and daily life events. Results found that the more pleasant reactants throughout the person’s daily life, the lower the dysphoric affect will be.

Development of computational models for emotional diary text analysis to support maternal care

EMA researchers have increasingly gained interest regarding the emotional health of mothers. In this study, participants used an emotional diary text through the development of a computational model in hopes of supporting maternal care. Results found that using this computation for tracking emotional regulation is supported and helpful in maternal care.

General Psychological Topics

Examining the social ecology of a bar-crawl: an exploratory pilot study

Gathering event-level data has proved to be a challenge for many researchers. In this EMA study, graduate students observed a college student bar crawl in hopes of collecting information on how to efficiently analyze event-level data. This study also examined the powerful effect of first time alcohol consumption and the perceived effects that follow the first interaction.

A comparison of passive and active estimates of sleep in a cohort with schizophrenia

In an attempt to monitor sleep abnormalities in those diagnosed with schizophrenia, EMA surveys were given to participants tri-weekly. With the use of smartphones and an app called Beiwe, researchers were able to discover that smartphones are a feasible way of monitoring sleeping behaviors.

Medical Topics

Digital health technology for use in patients with serious mental illness: a systematic review of the literature

An in-depth analysis of the multiple digital health technologies, including ecological momentary assessments, was conducted in order to find the most effective application and period of time when assisting patients with serious mental illnesses. It was found that the mobile health applications were feasible in the short-term period. Research still needs to be conducted to prove the benefits of a longer time period.

Physical Activity

Examining Motivations to Play Pokémon GO and Their Influence on Perceived Outcomes and Physical Activity

Due to the game Pokemon GO’s growing rise in popularity, researchers have gained interest in the motives behind player engagement. With the help of EMA, this study examined the influence the game has on the players’ different health aspects. Conclusions made suggested that when participants played Pokemon GO, their overall health-inclined.

Physiological Sensors


Smoking Cessation

The time-varying relations between risk factors and smoking before and after a quit attempt

Using EMA can help with the discovery of correlations between risk factors and smoking cessations. Researchers examined the relations participants experienced during this study. Results found that recognizing time-varying effects can help with intervention of smokers.

Bayesian variable selection for multistate Markov models with interval‐censored data in an ecological momentary assessment study of smoking cessation

In this study, researchers analyzed smokers using the Bayesian variable selection for multi-state Markov models with interval-censored data. EMA was used to help better understand behaviors of smokers after a quit attempt. Socioeconomically advantages and disadvantages are also examined, showing their effects on smokers as well.


Innovation or Violation? Leveraging Mobile Technology to Conduct Socially Responsible Community Research

Ethical concerns have become increasingly prevalent in the usage of EMA in research studies.This discussion highlights details that could be potentially destructive in studies using ecological momentary assessments. Research is being conducted to find ways of allowing mobile technology to be beneficial for all participants.


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