Supporting data for "The Dynamic Nature of Well-Being: An Ecological Momentary Assessment of Environment, Physical Activity, and Affective States in Older Adults"

The datafiles consist of two sets of intensive longitudinal data used for an ecological momentary assessment (EMA) research on environment, physical activity, and affective states in older adults in Hong Kong. This work aims to understand the dynamic nature of well-being by collecting real-time data in the real-world context. The data consist of self-reported data and passive sensing data. Self-reported data were collected by a structual baseline interview and EMA. The passive sensing data were collected using a GPS device and accelerometer. The real-time data collection, including EMA and passive sensing, began one day following the baseline assessment, and continued for 7 consecutive days.