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ZENODO
Dataset . 2024
License: CC BY
Data sources: ZENODO
ZENODO
Dataset . 2024
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2024
License: CC BY
Data sources: Datacite
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Movement and Mental health in Children

Authors: Lin, Wang;

Movement and Mental health in Children

Abstract

Overview This dataset contains physical activity data collected from children using Apple Watch Series 7 and mental health assessments, including Strengths and Difficulties Questionnaire(SDQ) and Swanson, Nolan, and Pelham Version IV Scale (SNAP-IV Scale). It also includes demographic variables such as age, sex, and BMI. The dataset aims to support research on the relationship between movement patterns and mental health outcomes in children. Data Collection Participants: primary school students (aged 6–13 years) .Ethical Approval: The study was conducted following ethical guidelines, with approval granted under approval number 202309801.Consent: Written consent was obtained from all participants' guardians before data collection.Data Sources & Measurements Accelerometer-Based Physical Activity DataCollected using Apple Watch Series 7 (100Hz sampling rate).Processed into raw acceleration signals and transformed into features representing movement patterns.Includes spatial-temporal movement characteristics for activity classification.Mental Health AssessmentStrengths and Difficulties Questionnaire: Evaluates emotional and behavioral attributes.Swanson, Nolan, and Pelham Version IV Scale: Assesses attention-deficit/hyperactivity disorder (ADHD) symptoms.Demographic and Physiological DataAge, sex, and BMI (Body Mass Index) were recorded for each participant.Potential Applications Multimodal deep learning research combining physical activity and mental health indicators.ADHD classification using accelerometer-derived movement data.Longitudinal studies on the impact of physical activity on children's psychological well-being.

This dataset includes physical activity data, demographic information, and mental health assessments collected from children using Apple Watch Series 7. The dataset consists of multiple CSV files, each containing different aspects of the recorded data: id_T.csv: Contains one-hour aggregated activity id_F.csv: Includes activity fragments Demographic and mental health data (CSV format): Demographic variables: Age, sex, and BMI. Mental health assessments: Strengths and Difficulties Questionnaire (SDQ) Swanson, Nolan, and Pelham Version IV (SNAP-IV) Scale for ADHD assessment This dataset is structured to support research on the relationship between physical activity patterns and mental health outcomes in children. Some demographic data may be missing, and users are expected to handle the missing values as needed.

Related Organizations
Keywords

Movement, Accelerometry, Child Health

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average