====== Medication (ATC) ====== The [[https://en.wikipedia.org/wiki/Anatomical_Therapeutic_Chemical_Classification_System|Anatomical Therapeutic Chemical (ATC) Classification System]] is a drug classification system that classifies the active ingredients of drugs according to the organ or system on which they act and their therapeutic, pharmacological and chemical properties. It is controlled by the World Health Organization Collaborating Centre for Drug Statistics Methodology ([[https://www.whocc.no/atc_ddd_index|WHOCC]]), and was first published in 1976. The Dutch version of this system can be found [[https://decor.nictiz.nl/art-decor/claml?collection=atc-data|here]].\\ ===== ATC data in Lifelines ===== At [[1A|baseline]], the medication use ([[sections|section]]: [[medical treatment]]) of adult participants were assessed as followed: * By questionnaire (see [[Medication]]), n=xxx (18-64 years old), until July 2012 * By medication wrapper brought to [[1A Visit 1]] or [[1A Visit 2]], n=xxx (65+ years old, and 18-64 years old from July 2012 onwards) Research assistants coded the results using ATC-coding software. These codes ([[sections|section]]: [[secondary & linked variables]]) are released for research, but please note that not all ATC-coding was verified (i.e. double checked whether the raw data matched the code). This is the case for ca. 5,000 participants who did report to use medication at baseline. For participants without an atc-code, about 75% was verified. ===== Variables ===== | **Label English** | **Label Dutch** | **Code** | **Variable** | **Assessment** | **Age** | | medication (1-32) / atc code | medicatie (1-32) / atc code | atc_code_adu_c_1_01-32 | ATCCODE | [[1A Visit 1|1A]] | 18+ | | medication (1-32) / generic name | medicatie (1-32) / generieke naam | atc_name_adu_c_1_01-32 | GNGNAM | [[1A Visit 1|1A]] | 18+ | ==== Publications about ATC codes ==== * Sediq et al. (2018) [[http://doi.org/10.2147/CLEP.S163037|Concordance assessment of self-reported medication use in the Netherlands threegeneration Lifelines Cohort Study with the pharmacy database IADB.nl: The PharmLines Initiative]]. Clinical Epidemiology 10: 981-989