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Predictors of non-response to successive waves of surveys in the Japan Environment and Children’s Study during the 3-year postpartum period: a longitudinal cohort study

OBJECTIVES: We examined changes in factors related to non-response to successive waves of the nationwide birth cohort study, the Japan Environment and Children’s Study (JECS), during the first 3 years after childbirth. DESIGN: Longitudinal cohort study. SETTING: As the baseline survey, mothers compl...

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Autores principales: Kigawa, Mika, Tsuchida, Akiko, Matsumura, Kenta, Kasamatsu, Haruka, Tanaka, Tomomi, Hamazaki, Kei, Adachi, Yuichi, Inadera, Hidekuni
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9252206/
https://www.ncbi.nlm.nih.gov/pubmed/35777875
http://dx.doi.org/10.1136/bmjopen-2021-050087
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author Kigawa, Mika
Tsuchida, Akiko
Matsumura, Kenta
Kasamatsu, Haruka
Tanaka, Tomomi
Hamazaki, Kei
Adachi, Yuichi
Inadera, Hidekuni
author_facet Kigawa, Mika
Tsuchida, Akiko
Matsumura, Kenta
Kasamatsu, Haruka
Tanaka, Tomomi
Hamazaki, Kei
Adachi, Yuichi
Inadera, Hidekuni
author_sort Kigawa, Mika
collection PubMed
description OBJECTIVES: We examined changes in factors related to non-response to successive waves of the nationwide birth cohort study, the Japan Environment and Children’s Study (JECS), during the first 3 years after childbirth. DESIGN: Longitudinal cohort study. SETTING: As the baseline survey, mothers completed self-administered questionnaires distributed by hand during pregnancy or 1 month after delivery. The self-administered questionnaires that we used in this study were then distributed by mail every 6 months until the children were 3 years old, for a total of six times. PARTICIPANTS: Of 103 060 mothers who consented to participate in the JECS during pregnancy, 88 489 mothers were included in the study after excluding those with multiple births, miscarriages or stillbirths and those who withdrew from the study within 3 years after providing informed consent. PRIMARY AND SECONDARY OUTCOME MEASURES: Data were collected at the baseline survey on participants’ socioeconomic status, medical history, health status, health-related behaviours and their children’s health conditions and living situations. The strength of the impact of related factors and the prediction of response status were examined and compared using binominal logistic regression analysis. RESULTS: For all six follow-up questionnaire surveys, higher maternal age was strongly associated with providing a response. Factors that were strongly associated with mothers not providing a response were smoking after childbirth and having more children. The concordance rate of response status based on the presented model was about 70%, suggesting that the response status for the first 3 years after birth can be predicted from the information collected in the baseline survey. CONCLUSION: By identifying predictors of non-response from information obtained in baseline surveys, researchers may be able to reduce non-response to successive survey waves by issuing reminders, reviewing data collection methods and providing appropriate financial and/or non-financial incentives.
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spelling pubmed-92522062022-07-05 Predictors of non-response to successive waves of surveys in the Japan Environment and Children’s Study during the 3-year postpartum period: a longitudinal cohort study Kigawa, Mika Tsuchida, Akiko Matsumura, Kenta Kasamatsu, Haruka Tanaka, Tomomi Hamazaki, Kei Adachi, Yuichi Inadera, Hidekuni BMJ Open Epidemiology OBJECTIVES: We examined changes in factors related to non-response to successive waves of the nationwide birth cohort study, the Japan Environment and Children’s Study (JECS), during the first 3 years after childbirth. DESIGN: Longitudinal cohort study. SETTING: As the baseline survey, mothers completed self-administered questionnaires distributed by hand during pregnancy or 1 month after delivery. The self-administered questionnaires that we used in this study were then distributed by mail every 6 months until the children were 3 years old, for a total of six times. PARTICIPANTS: Of 103 060 mothers who consented to participate in the JECS during pregnancy, 88 489 mothers were included in the study after excluding those with multiple births, miscarriages or stillbirths and those who withdrew from the study within 3 years after providing informed consent. PRIMARY AND SECONDARY OUTCOME MEASURES: Data were collected at the baseline survey on participants’ socioeconomic status, medical history, health status, health-related behaviours and their children’s health conditions and living situations. The strength of the impact of related factors and the prediction of response status were examined and compared using binominal logistic regression analysis. RESULTS: For all six follow-up questionnaire surveys, higher maternal age was strongly associated with providing a response. Factors that were strongly associated with mothers not providing a response were smoking after childbirth and having more children. The concordance rate of response status based on the presented model was about 70%, suggesting that the response status for the first 3 years after birth can be predicted from the information collected in the baseline survey. CONCLUSION: By identifying predictors of non-response from information obtained in baseline surveys, researchers may be able to reduce non-response to successive survey waves by issuing reminders, reviewing data collection methods and providing appropriate financial and/or non-financial incentives. BMJ Publishing Group 2022-07-01 /pmc/articles/PMC9252206/ /pubmed/35777875 http://dx.doi.org/10.1136/bmjopen-2021-050087 Text en © Author(s) (or their employer(s)) 2022. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) .
spellingShingle Epidemiology
Kigawa, Mika
Tsuchida, Akiko
Matsumura, Kenta
Kasamatsu, Haruka
Tanaka, Tomomi
Hamazaki, Kei
Adachi, Yuichi
Inadera, Hidekuni
Predictors of non-response to successive waves of surveys in the Japan Environment and Children’s Study during the 3-year postpartum period: a longitudinal cohort study
title Predictors of non-response to successive waves of surveys in the Japan Environment and Children’s Study during the 3-year postpartum period: a longitudinal cohort study
title_full Predictors of non-response to successive waves of surveys in the Japan Environment and Children’s Study during the 3-year postpartum period: a longitudinal cohort study
title_fullStr Predictors of non-response to successive waves of surveys in the Japan Environment and Children’s Study during the 3-year postpartum period: a longitudinal cohort study
title_full_unstemmed Predictors of non-response to successive waves of surveys in the Japan Environment and Children’s Study during the 3-year postpartum period: a longitudinal cohort study
title_short Predictors of non-response to successive waves of surveys in the Japan Environment and Children’s Study during the 3-year postpartum period: a longitudinal cohort study
title_sort predictors of non-response to successive waves of surveys in the japan environment and children’s study during the 3-year postpartum period: a longitudinal cohort study
topic Epidemiology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9252206/
https://www.ncbi.nlm.nih.gov/pubmed/35777875
http://dx.doi.org/10.1136/bmjopen-2021-050087
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