Replication Data for: The impact of physical activity cut-point choice on childhood activity estimates

This dataset is the replication data for the paper "The impact of physical activity cut-point choice on childhood activity estimates". It includes accelerometer data from 617 children who contributed a total of 1314 participant-weeks of valid data after processing. The detailed description of each column is as follows: 1. participant_week_index. Because we are considering participant week as our basic analysis object, so each participant week is assigned with a unique index. 2. datetime. The time is at the minute level. 3. time_class. There are 3 types of time in our study which are: 3.1. time class [1] represents school time. 09:15 am to 15:00 pm from Monday to Friday. 3.2. time class [2] represents leisure time. 06:00am to 09:15am and 15:00pm to 22:00pm from Monday to Friday, and 06:00am to 22:00pm on Saturday and Sunday. 3.3. time class [3] represents other time. 4. counts_per_minute. The accelerometer data were collected at 100 Hz epochs and reduced to vector magnitude (VM) with a 1-second epoch using ActiLife 6 data analysis software. Further, the VM within a minute is accumulated to get counts_per_minute. 5. wear_and_awake. There are 2 values: 5.1. value [0] represents that the participant is sleeping or doesn't wear the device. 5.2. value [1] represents the participant is awake and wear the device. 6. activity_level. There are 4 types under standard threshold: 6.1. N/A represents "not applicable". Because we only consider the accelerometer data during leisure hours, the activity level will be labeled as N/A if the time is not in leisure hours. 6.2. SED if CPM <= 150. 6.3. LPA if CPM is in (150, 1951] 6.4. MVPA if CPM > 1951