Dataset

Actigraphy

Labels	actigraphy sleep rhythm sleep duration sleep efficiency sleep onset waking time arousal social jet-lag bedtime routine sleep diary biological rhythm
Constructs	physiology
Available measurements	Main Cohort 11 years C 9.3 - 13.6 years From 2014-01-01 to 2018-12-31 13-14 years C 12.5 - 16.8 years From 2016-01-01 to 2019-12-31
Mode of collection	MeasurementsAndTests Biological sample/measurement
Instrument name	Actigraphy
Measure name	Biological rhythm-Sleep

You can also access this dataset using the API (see API Docs).

author	None
author_email	None
creator_user_id	6c404c5c-dbec-4933-bc54-0b7656c773ba
dc_analysis_unit	[]
dc_cohort	GenR
dc_instrument_name	Actigraphy
dc_measure_name	Biological rhythm-Sleep
dc_mode_of_collection	MeasurementsAndTests
dc_mode_of_collection_sub	Biological sample/measurement
id	30d6398b-b63f-4ac5-b76c-5705e35db88e
isopen	False
license_title	None
maintainer	None
maintainer_email	None
metadata_created	2023-05-03T11:58:08.819948
metadata_modified	2023-05-03T11:58:08.819954
name	8b851c1fe8c4911383c971fbb662dcf4
num_resources	0
num_tags	0
organization	{'id': '38fdc227-239e-4fe6-9944-ca553d520ad6', 'name': 'gen-r', 'title': 'Generation R', 'type': 'organization', 'description': 'The Generation R Study is a population-based prospective cohort study from fetal life until adulthood. The study is designed to identify early environmental and genetic pathways leading to normal and abnormal growth, development and health. An important focus of Generation R is to identify early life determinants of common (mostly non-communicable) diseases in adulthood. Pregnant women living in the Rotterdam area, the Netherlands, were included between 2002 and 2006. After birth, the children and their parents have been followed in multiple assessment waves up until young adulthood. ', 'image_url': 'https://beta.data.individualdevelopment.nl/img/logo_genr.png', 'created': '2023-03-06T15:50:01.260764', 'is_organization': True, 'approval_status': 'approved', 'state': 'active'}
owner_org	38fdc227-239e-4fe6-9944-ca553d520ad6
private	False
state	active
title	Actigraphy
type	dataset
dc_constructs	[{'dc_construct': 'physiology'}]
dc_labels	[{'dc_label': 'actigraphy'}, {'dc_label': 'sleep rhythm'}, {'dc_label': 'sleep duration'}, {'dc_label': 'sleep efficiency'}, {'dc_label': 'sleep onset'}, {'dc_label': 'waking time'}, {'dc_label': 'arousal'}, {'dc_label': 'social jet-lag'}, {'dc_label': 'bedtime routine'}, {'dc_label': 'sleep diary'}, {'dc_label': 'biological rhythm'}]
measure_age_range	[{'measure_age_month': 112}, {'measure_age_month': 113}, {'measure_age_month': 114}, {'measure_age_month': 115}, {'measure_age_month': 116}, {'measure_age_month': 117}, {'measure_age_month': 118}, {'measure_age_month': 119}, {'measure_age_month': 120}, {'measure_age_month': 121}, {'measure_age_month': 122}, {'measure_age_month': 123}, {'measure_age_month': 124}, {'measure_age_month': 125}, {'measure_age_month': 126}, {'measure_age_month': 127}, {'measure_age_month': 128}, {'measure_age_month': 129}, {'measure_age_month': 130}, {'measure_age_month': 131}, {'measure_age_month': 132}, {'measure_age_month': 133}, {'measure_age_month': 134}, {'measure_age_month': 135}, {'measure_age_month': 136}, {'measure_age_month': 137}, {'measure_age_month': 138}, {'measure_age_month': 139}, {'measure_age_month': 140}, {'measure_age_month': 141}, {'measure_age_month': 142}, {'measure_age_month': 143}, {'measure_age_month': 144}, {'measure_age_month': 145}, {'measure_age_month': 146}, {'measure_age_month': 147}, {'measure_age_month': 148}, {'measure_age_month': 149}, {'measure_age_month': 150}, {'measure_age_month': 151}, {'measure_age_month': 152}, {'measure_age_month': 153}, {'measure_age_month': 154}, {'measure_age_month': 155}, {'measure_age_month': 156}, {'measure_age_month': 157}, {'measure_age_month': 158}, {'measure_age_month': 159}, {'measure_age_month': 160}, {'measure_age_month': 161}, {'measure_age_month': 162}, {'measure_age_month': 163}, {'measure_age_month': 164}, {'measure_age_month': 165}, {'measure_age_month': 166}, {'measure_age_month': 167}, {'measure_age_month': 168}, {'measure_age_month': 169}, {'measure_age_month': 170}, {'measure_age_month': 171}, {'measure_age_month': 172}, {'measure_age_month': 173}, {'measure_age_month': 174}, {'measure_age_month': 175}, {'measure_age_month': 176}, {'measure_age_month': 177}, {'measure_age_month': 178}, {'measure_age_month': 179}, {'measure_age_month': 180}, {'measure_age_month': 181}, {'measure_age_month': 182}, {'measure_age_month': 183}, {'measure_age_month': 184}, {'measure_age_month': 185}, {'measure_age_month': 186}, {'measure_age_month': 187}, {'measure_age_month': 188}, {'measure_age_month': 189}, {'measure_age_month': 190}, {'measure_age_month': 191}, {'measure_age_month': 192}, {'measure_age_month': 193}, {'measure_age_month': 194}, {'measure_age_month': 195}, {'measure_age_month': 196}, {'measure_age_month': 197}, {'measure_age_month': 198}, {'measure_age_month': 199}, {'measure_age_month': 200}, {'measure_age_month': 201}, {'measure_age_month': 202}]
wave	[{'wave_ckan_id': 'ede1abfa624129abd4b2ed8be0e6f816', 'wave_cohort': 'Generation R: Main Cohort', 'wave_cohort_ckan_id': '0958818e507df24cff851cc37fba955b', 'wave_description': 'Academic achievement test (Cito) at the end of primary school, obtained from national registration records.', 'wave_end_date_collection': '2018-12-31', 'wave_start_date_collection': '2014-01-01', 'wave_subject_codes': ['C'], 'wave_title': '11 years', 'wave_universe': '112-163'}, {'wave_ckan_id': '226e1cfc6bba3854437978d2a8e8b865', 'wave_cohort': 'Generation R: Main Cohort', 'wave_cohort_ckan_id': '0958818e507df24cff851cc37fba955b', 'wave_description': 'Parent and child self-report questionnaires and brain imaging, behavioral assessments, blood samples and anthropometrics at visit at the research center at 13 years.', 'wave_end_date_collection': '2019-12-31', 'wave_start_date_collection': '2016-01-01', 'wave_subject_codes': ['C'], 'wave_title': '13-14 years', 'wave_universe': '150-202'}]
resources	[]
tags	[]
groups	[]
relationships_as_subject	[]
relationships_as_object	[]
tracking_summary	{'total': 34, 'recent': 2}