ArticleJournal of medical Internet research2015
ClickDiary: Online Tracking of Health Behaviors and Mood.
Article in Journal of medical Internet research, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed.
- The MIND diet, cognitive function, and well-being among healthy adults at midlife: a randomised feasibility trial.BMC nutrition · 2025Article
- Adhere to the Chinese dietary guidelines associated with better subjective well-being: evidence from a cross-sectional survey and a daily diary investigation.BMC public health · 2024Article
- Happiness index of medical students and related factors in Andaman and Nicobar Islands, India.Journal of education and health promotion · 2023Article
- Low subjective social status is associated with daily selection of fewer healthy foods and more high-fat/high sugar foods.Appetite · 2023Article
- Quality of Life and Multilevel Contact Network Structures Among Healthy Adults in Taiwan: Online Participatory Cohort Study.Journal of medical Internet research · 2022Article
- Assessing effects of personal behaviors and environmental exposure on asthma episodes: a diary-based approach.BMC pulmonary medicine · 2019Article
- Detecting concurrent mood in daily contact networks: an online participatory cohort study with a diary approach.BMJ open · 2018Article
- Estimating the Risk of Influenza-Like Illness Transmission Through Social Contacts: Web-Based Participatory Cohort Study.JMIR public health and surveillance · 2018Article
- Understanding the Positive Associations of Sleep, Physical Activity, Fruit and Vegetable Intake as Predictors of Quality of Life and Subjective Health Across Age Groups: A Theory Based, Cross-Sectional Web-Based Study.Frontiers in psychology · 2018Article
- Eating breakfast, fruit and vegetable intake and their relation with happiness in college students.Eating and weight disorders : EWD · 2016Article
- Analyzing Personal Happiness from Global Survey and Weather Data: A Geospatial Approach.PloS one · 2016Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundTraditional 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.
objectiveWe aim to understand whether daily mood changes are related to one's personal characteristics, demographic factors, and daily health behaviors.
methodsThe 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.
resultsWe 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.
conclusionsSleeping 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.
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