# ClickDiary: Online Tracking of Health Behaviors and Mood

**Authors:** Ta-Chien Chan, Tso-Jung Yen, Yang-Chih Fu, Jing-Shiang Hwang

PMC · DOI: 10.2196/jmir.4315 · Journal of Medical Internet Research · 2015-06-15

## TL;DR

ClickDiary is an online platform that tracks health behaviors and mood daily, showing that better sleep, exercise, and diet are linked to improved mood.

## Contribution

The paper introduces ClickDiary, a novel online platform for real-time tracking of health behaviors and mood to reduce recall bias.

## Key findings

- Better mood was associated with eating more fruits and vegetables, sleeping better, and exercising longer.
- Participants were in a better mood on weekends compared to weekdays.
- The platform successfully collected daily data over 30 days, reducing recall bias.

## Abstract

Traditional studies of health behaviors are typically conducted using one-shot, cross-sectional surveys. Thus, participants’ recall bias may undermine the reliability and validity of the data. To capture mood changes and health behaviors in everyday life, we designed an online survey platform, ClickDiary, which helped collect more complete information for comprehensive data analyses.

We aim to understand whether daily mood changes are related to one’s personal characteristics, demographic factors, and daily health behaviors.

The ClickDiary program uses a Web-based platform to collect data on participants’ health behaviors and their social-contact networks. The name ClickDiary comes from the platform’s interface, which is designed to allow the users to respond to most of the survey questions simply by clicking on the options provided. Participants were recruited from the general population and came from various backgrounds. To keep the participants motivated and interested, the ClickDiary program included a random drawing for rewards. We used descriptive statistics and the multilevel proportional-odds mixed model for our analysis.

We selected 130 participants who had completed at least 30 days of ClickDiary entries from May 1 to October 31, 2014 as our sample for the study. According to the results of the multilevel proportional-odds mixed model, a person tended to be in a better mood on a given day if he or she ate more fruits and vegetables, took in more sugary drinks, ate more fried foods, showed no cold symptoms, slept better, exercised longer, and traveled farther away from home. In addition, participants were generally in a better mood during the weekend than on weekdays.

Sleeping well, eating more fruits and vegetables, and exercising longer each day all appear to put one in a better mood. With the online ClickDiary survey, which reduces the recall biases that are common in traditional one-shot surveys, we were able to collect and analyze the daily variations of each subject’s health behaviors and mood status.

## Full-text entities

- **Diseases:** IPIP (MESH:D010981), impulsivity (MESH:D007174), excess weight (MESH:D015431), negative (MESH:D064726), ILI (MESH:D007251), cognitive inflexibility (MESH:D003072), OCEAN (MESH:D005597), overweight (MESH:D050177), cold symptoms (MESH:C569627), depression (MESH:D003866), Mood (MESH:D019964), bInfluenza-like illness (MESH:C537675), headache (MESH:D006261), gastrointestinal illness (MESH:D005767)
- **Chemicals:** polyphenols (MESH:D059808), Sugary drinks (-)
- **Species:** Homo sapiens (human, species) [taxon 9606], Gallus gallus (bantam, species) [taxon 9031], Oryza sativa (Asian cultivated rice, species) [taxon 4530], Anser sp. (goose, species) [taxon 8847], Mus musculus (house mouse, species) [taxon 10090], Theobroma cacao (cacao, species) [taxon 3641]

## Full text

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## Figures

2 figures with captions in the complete paper: https://tomesphere.com/paper/PMC4526938/full.md

## References

39 references — full list in the complete paper: https://tomesphere.com/paper/PMC4526938/full.md

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Source: https://tomesphere.com/paper/PMC4526938