Prosocial Tendencies Measures (PTM)
The Prosocial Tendencies Measures (PTM) is a self-report questionnaire designed to measure an individual's dispositional tendencies to engage in prosocial behaviors. The PTM consists of six subscales: Altruistic helping, public helping, emotional helping, dire helping, compliance, and nurturance. Each subscale consists of seven items, rated on a 7-point Likert scale. The items were assessed during the Covid-19 pandemic.
Items were assessed during the Covid-19 pandemic.
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14.8 - 18.4 years From 2020-06-01 to 2020-10-31 |
Mode of collection | SelfAdministeredQuestionnaire |
Analysis unit | Individual |
Instrument name | Prosocial Tendencies Measures (PTM) |
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Measure was collected within the following cohort study:
Purpose | The purposes of the Generation R study are to (1) describe normal and abnormal growth, development and health from early fetal life to adulthood in a multi-ethnic population; (2) identify (epi-)genetic, biological, social and environmental determinants of this normal and abnormal growth, development and health; and (3) contribute to the development of strategies for optimizing health and healthcare for pregnant women and children. |
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Time method | Longitudinal |
Universe | Youth, and their parents, from the general population followed since prenatal life until young adulthood, all born in Rotterdam, the Netherlands. |
Measure was collected within the following cohort(s):
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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. |
Purpose | The purposes of the Generation R study are to (1) describe normal and abnormal growth, development and health from early fetal life to adulthood in a multi-ethnic population; (2) identify (epi-)genetic, biological, social and environmental determinants of this normal and abnormal growth, development and health; and (3) contribute to the development of strategies for optimizing health and healthcare for pregnant women and children. |
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Country code | NL |
Geographic location | 3010-3070 |
Lowest geographic reference | postal code |
Highest geographic reference | city |
Cohort universe description | 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. |
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Time method | Longitudinal.CohortEventBased |
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Description | Generation R Next is a population-based prospective cohort study from preconception onwards in Rotterdam, the Netherlands. The Generation R Next Study is designed to identify periconceptional environmental and health determinants that influence embryonic and early fetal development, and the consequences early fetal adaptations for the child’s later life health. Women living in the Rotterdam area, the Netherlands, with the wish to conceive or those who were pregnant at the time, were eligible for enrollment between 2017 and 2021. After birth, the children and their parents have been followed up until age 1 years, with the aim to also collect data at later ages in childhood. |
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Country code | NL |
Geographic location | 3010-3070 |
Lowest geographic reference | postal code |
Highest geographic reference | city |
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Time method | Longitudinal.CohortEventBased |
Measure was collected within the following wave(s):
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Short description of the wave | The Covid wave consisted of parent and child self-reported questionnaires from the Generation R participants during the Covid-19 pandemic in 2020 (mean age: 16.6 years). |
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(sub) cohort | Generation R: Generation R |
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Start date wave collection | 2020-06-01 |
End date wave collection | 2020-10-31 |
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Description of physical data product | Digital files |
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author | None |
author_email | None |
creator_user_id | c79f9691-a7b3-4ff2-9bc4-deddfe1e04a3 |
dc_additional_info | Items were assessed during the Covid-19 pandemic. |
dc_analysis_unit | {Individual} |
dc_cohort | GenR |
dc_instrument_name | Prosocial Tendencies Measures (PTM) |
id | c34f8956-0322-4042-8385-0a79d281ea92 |
isopen | False |
license_title | None |
maintainer | None |
maintainer_email | None |
metadata_created | 2024-06-05T15:27:37.524894 |
metadata_modified | 2024-09-19T16:50:20.999263 |
name | 595d2235cc56420d3490181825b1d372 |
notes | The Prosocial Tendencies Measures (PTM) is a self-report questionnaire designed to measure an individual's dispositional tendencies to engage in prosocial behaviors. The PTM consists of six subscales: Altruistic helping, public helping, emotional helping, dire helping, compliance, and nurturance. Each subscale consists of seven items, rated on a 7-point Likert scale. The items were assessed during the Covid-19 pandemic. |
num_resources | 0 |
num_tags | 0 |
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owner_org | 1156de4f-1c41-4a84-ae49-288224631562 |
private | False |
state | active |
title | Prosocial Tendencies Measures (PTM) |
type | measure |
cohort | [{'cohort_alternate_title': ['GenR ', 'Gen-R'], 'cohort_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. 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'cohort_creator_affiliation_identifier_scheme': 'ROR', 'cohort_creator_affiliation_identifier_schemeuri': 'https://ror.org/', 'cohort_creator_identifier_schemeuri': 'https://orcid.org/', 'cohort_creator_identifier_type': 'ORCID', 'cohort_creator_pid': '0000-0003-2830-6813'}, {'cohort_creator': 'Wolvius, E.B.', 'cohort_creator_affiliation': 'Erasmus MC', 'cohort_creator_affiliation_identifier': 'https://ror.org/018906e22', 'cohort_creator_affiliation_identifier_scheme': 'ROR', 'cohort_creator_affiliation_identifier_schemeuri': 'https://ror.org/', 'cohort_creator_identifier_schemeuri': 'https://orcid.org/', 'cohort_creator_identifier_type': 'ORCID', 'cohort_creator_pid': '0000-0002-5159-3497'}, {'cohort_creator': 'van Schaik, R.H.N.', 'cohort_creator_affiliation': 'Erasmus MC', 'cohort_creator_affiliation_identifier': 'https://ror.org/018906e22', 'cohort_creator_affiliation_identifier_scheme': 'ROR', 'cohort_creator_affiliation_identifier_schemeuri': 'https://ror.org/', 'cohort_creator_identifier_schemeuri': 'https://orcid.org/', 'cohort_creator_identifier_type': 'ORCID', 'cohort_creator_pid': '0000-0003-1864-2151'}], 'cohort_funding': [{'cohort_funder': 'All funders are listed via the Generation R website', 'cohort_funder_identifier': 'https://generationr.nl/algemeen/donateurs/', 'cohort_funder_identifier_type': 'url'}], 'cohort_publisher': [{'cohort_publisher_identifier': 'https://ror.org/018906e22', 'cohort_publisher_identifier_type': 'ROR', 'cohort_publisher_name': 'Erasmus MC'}]}] |
dc_DOI | [{'dc_identifier_type': 'DOI', 'dc_pid': '10.60641/6pr2-wy66'}] |
dc_constructs | [{'dc_construct': 'personality'}, {'dc_construct': 'sociocognitive and emotional development'}] |
dc_labels | [{'dc_label': 'helping others'}, {'dc_label': 'prosocial behavior'}, {'dc_label': 'helping'}, {'dc_label': 'cooperation'}, {'dc_label': 'altruism'}] |
dc_measurement_references | [{'dc_measurements_references_citation': 'Carlo, G., & Randall, B. A. (2002). The Development of a Measure of Prosocial Behaviors for Late Adolescents. Journal of Youth and Adolescence, 31(1), 31–44. https://doi.org/10.1023/a:1014033032440\n', 'dc_measurements_references_doi': 'https://doi.org/10.1023/a:1014033032440'}] |
dc_modes_of_collection | [{'dc_mode_of_collection': 'SelfAdministeredQuestionnaire'}] |
measure_age_range | [{'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}, {'measure_age_month': 203}, {'measure_age_month': 204}, {'measure_age_month': 205}, {'measure_age_month': 206}, {'measure_age_month': 207}, {'measure_age_month': 208}, {'measure_age_month': 209}, {'measure_age_month': 210}, {'measure_age_month': 211}, {'measure_age_month': 212}, {'measure_age_month': 213}, {'measure_age_month': 214}, {'measure_age_month': 215}, {'measure_age_month': 216}, {'measure_age_month': 217}, {'measure_age_month': 218}, {'measure_age_month': 219}, {'measure_age_month': 220}, {'measure_age_month': 221}] |
study | [{'study_alternate_title': ['Generation R', 'Gen-R'], 'study_language': 'NL', 'study_purpose': 'The purposes of the Generation R study are to (1) describe normal and abnormal growth, development and health from early fetal life to adulthood in a multi-ethnic population; (2) identify (epi-)genetic, biological, social and environmental determinants of this normal and abnormal growth, development and health; and (3) contribute to the development of strategies for optimizing health and healthcare for pregnant women and children.', 'study_time_method': 'Longitudinal', 'study_universe': 'Youth, and their parents, from the general population followed since prenatal life until young adulthood, all born in Rotterdam, the Netherlands.', 'title': 'The Generation R Study', 'study_contact': [{'study_contact_affiliation': 'Erasmus MC', 'study_contact_mail': 'generationr@erasmusmc.nl', 'study_contact_name': 'Generation R Data Management'}], 'study_contributor': [{'study_contributor_affiliation': 'Erasmus MC', 'study_contributor_affiliation_identifier': 'https://ror.org/018906e22', 'study_contributor_affiliation_identifier_scheme': 'ROR', 'study_contributor_affiliation_identifier_schemeuri': 'https://ror.org/', 'study_contributor_identifier_type': 'url', 'study_contributor_name': 'The Generation R Study Group', 'study_contributor_pid': 'https://generationr.nl/algemeen/organisatie/'}], 'study_data_access': [{'study_data_access_URL': 'https://generationr.nl/', 'study_data_access_description': 'Data access requests can be directed to the data management team of the Generation R Study (generationr@erasmusmc.nl), which has a protocol for approving data requests. Because of restrictions based on privacy regulations and informed consent of participants, data cannot be made freely available in a public repository.'}], 'study_funding': [{'study_funder': 'All funders are listed via the Generation R website'}], 'study_principal_investigators': [{'study_pi_affiliation': 'Erasmus MC', 'study_pi_affiliation_identifier': 'https://ror.org/018906e22', 'study_pi_affiliation_identifier_scheme': 'ROR', 'study_pi_affiliation_identifier_schemeuri': 'https://ror.org/', 'study_pi_identifier_schemeuri': 'https://orcid.org/', 'study_pi_identifier_type': 'ORCID', 'study_pi_name': 'Bierma - Zeinstra, S.M.A.', 'study_pi_pid': '0000-0003-1280-5896'}, {'study_pi_affiliation': 'Erasmus MC', 'study_pi_affiliation_identifier': 'https://ror.org/018906e22', 'study_pi_affiliation_identifier_scheme': 'ROR', 'study_pi_affiliation_identifier_schemeuri': 'https://ror.org/', 'study_pi_identifier_schemeuri': 'https://orcid.org/', 'study_pi_identifier_type': 'ORCID', 'study_pi_name': 'Bonsel, G.J.', 'study_pi_pid': '0000-0002-8364-1086'}, {'study_pi_affiliation': 'Erasmus MC', 'study_pi_affiliation_identifier': 'https://ror.org/018906e22', 'study_pi_affiliation_identifier_scheme': 'ROR', 'study_pi_affiliation_identifier_schemeuri': 'https://ror.org/', 'study_pi_identifier_schemeuri': '', 'study_pi_identifier_type': '', 'study_pi_name': 'Büller, H.A.', 'study_pi_pid': ''}, {'study_pi_affiliation': 'Erasmus MC', 'study_pi_affiliation_identifier': 'https://ror.org/018906e22', 'study_pi_affiliation_identifier_scheme': 'ROR', 'study_pi_affiliation_identifier_schemeuri': 'https://ror.org/', 'study_pi_identifier_schemeuri': 'https://orcid.org/', 'study_pi_identifier_type': 'ORCID', 'study_pi_name': 'van Duijn, C.M.', 'study_pi_pid': '0000-0002-2374-9204'}, {'study_pi_affiliation': 'Erasmus MC', 'study_pi_affiliation_identifier': 'https://ror.org/018906e22', 'study_pi_affiliation_identifier_scheme': 'ROR', 'study_pi_affiliation_identifier_schemeuri': 'https://ror.org/', 'study_pi_identifier_schemeuri': 'https://orcid.org/', 'study_pi_identifier_type': 'ORCID', 'study_pi_name': 'Duijts, L.', 'study_pi_pid': '0000-0001-6731-9452'}, {'study_pi_affiliation': 'Erasmus MC', 'study_pi_affiliation_identifier': 'https://ror.org/018906e22', 'study_pi_affiliation_identifier_scheme': 'ROR', 'study_pi_affiliation_identifier_schemeuri': 'https://ror.org/', 'study_pi_identifier_schemeuri': 'https://orcid.org/', 'study_pi_identifier_type': 'ORCID', 'study_pi_name': 'Felix, J.F.', 'study_pi_pid': '0000-0002-9801-5774'}, {'study_pi_affiliation': 'Erasmus MC', 'study_pi_affiliation_identifier': 'https://ror.org/018906e22', 'study_pi_affiliation_identifier_scheme': 'ROR', 'study_pi_affiliation_identifier_schemeuri': 'https://ror.org/', 'study_pi_identifier_schemeuri': '', 'study_pi_identifier_type': '', 'study_pi_name': 'Franco, O.H.', 'study_pi_pid': ''}, {'study_pi_affiliation': 'Erasmus University Rotterdam', 'study_pi_affiliation_identifier': 'https://ror.org/057w15z03', 'study_pi_affiliation_identifier_scheme': 'ROR', 'study_pi_affiliation_identifier_schemeuri': 'https://ror.org/', 'study_pi_identifier_schemeuri': 'https://orcid.org/', 'study_pi_identifier_type': 'ORCID', 'study_pi_name': 'Franken, I.H.A.', 'study_pi_pid': '0000-0002-7853-2694'}, {'study_pi_affiliation': 'Erasmus MC', 'study_pi_affiliation_identifier': 'https://ror.org/018906e22', 'study_pi_affiliation_identifier_scheme': 'ROR', 'study_pi_affiliation_identifier_schemeuri': 'https://ror.org/', 'study_pi_identifier_schemeuri': 'https://orcid.org/', 'study_pi_identifier_type': 'ORCID', 'study_pi_name': 'Gaillard, R.', 'study_pi_pid': '0000-0002-7967-4600'}, {'study_pi_affiliation': 'Erasmus MC', 'study_pi_affiliation_identifier': 'https://ror.org/018906e22', 'study_pi_affiliation_identifier_scheme': 'ROR', 'study_pi_affiliation_identifier_schemeuri': 'https://ror.org/', 'study_pi_identifier_schemeuri': 'https://orcid.org/', 'study_pi_identifier_type': 'ORCID', 'study_pi_name': 'van Grieken, A.', 'study_pi_pid': '0000-0001-6767-9159'}, {'study_pi_affiliation': 'Erasmus MC', 'study_pi_affiliation_identifier': 'https://ror.org/018906e22', 'study_pi_affiliation_identifier_scheme': 'ROR', 'study_pi_affiliation_identifier_schemeuri': 'https://ror.org/', 'study_pi_identifier_schemeuri': '', 'study_pi_identifier_type': '', 'study_pi_name': 'van der Heijden, A.J.', 'study_pi_pid': ''}, {'study_pi_affiliation': 'Erasmus MC', 'study_pi_affiliation_identifier': 'https://ror.org/018906e22', 'study_pi_affiliation_identifier_scheme': 'ROR', 'study_pi_affiliation_identifier_schemeuri': 'https://ror.org/', 'study_pi_identifier_schemeuri': 'https://orcid.org/', 'study_pi_identifier_type': 'ORCID', 'study_pi_name': 'Hillegers, M.H.J.', 'study_pi_pid': '0000-0003-4877-282X'}, {'study_pi_affiliation': 'Erasmus MC', 'study_pi_affiliation_identifier': 'https://ror.org/018906e22', 'study_pi_affiliation_identifier_scheme': 'ROR', 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resources | [] |
tags | [] |
groups | [] |
relationships_as_subject | [] |
relationships_as_object | [] |
tracking_summary | {'total': 0, 'recent': 0} |