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Association between an individual housing-based socioeconomic index and inconsistent self-reporting of health conditions: a prospective cohort study in the Mayo Clinic Biobank
OBJECTIVE: Using surveys to collect self-reported information on health and disease is commonly used in clinical practice and epidemiological research. However, the inconsistency of self-reported information collected longitudinally in repeated surveys is not well investigated. We aimed to investiga...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5961601/ https://www.ncbi.nlm.nih.gov/pubmed/29764878 http://dx.doi.org/10.1136/bmjopen-2017-020054 |
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author | Ryu, Euijung Olson, Janet E Juhn, Young J Hathcock, Matthew A Wi, Chung-Il Cerhan, James R Yost, Kathleen J Takahashi, Paul Y |
author_facet | Ryu, Euijung Olson, Janet E Juhn, Young J Hathcock, Matthew A Wi, Chung-Il Cerhan, James R Yost, Kathleen J Takahashi, Paul Y |
author_sort | Ryu, Euijung |
collection | PubMed |
description | OBJECTIVE: Using surveys to collect self-reported information on health and disease is commonly used in clinical practice and epidemiological research. However, the inconsistency of self-reported information collected longitudinally in repeated surveys is not well investigated. We aimed to investigate whether a socioeconomic status based on current housing characteristics, HOUsing-based SocioEconomic Status (HOUSES) index linking current address information to real estate property data, is associated with inconsistent self-reporting. STUDY SETTING AND PARTICIPANTS: We performed a prospective cohort study using the Mayo Clinic Biobank (MCB) participants who resided in Olmsted County, Minnesota, USA, at the time of enrolment between 2009 and 2013, and were invited for a 4-year follow-up survey (n=11 717). PRIMARY AND SECONDARY OUTCOME MEASURES: Using repeated survey data collected at the baseline and 4 years later, the primary outcome was the inconsistency in survey results when reporting prevalent diseases, defined by reporting to have ‘ever’ been diagnosed with a given disease in the baseline survey but reported ‘never’ in the follow-up survey. Secondary outcome was the response rate for the 4-year follow-up survey. RESULTS: Among the MCB participants invited for the 4-year follow-up survey, 8508/11 717 (73%) responded to the survey. Forty-three per cent had at least one inconsistent self-reported disease. Lower HOUSES was associated with higher inconsistency rates, and the association remained significant after pertinent characteristics such as age and perceived general health (OR=1.46; 95% CI 1.17 to 1.84 for the lowest compared with the highest HOUSES decile). HOUSES was also associated with lower response rate for the follow-up survey (56% vs 77% for the lowest vs the highest HOUSES decile). CONCLUSION: This study demonstrates the importance of using the HOUSES index that reflects current SES when using self-reporting through repeated surveys, as the HOUSES index at baseline survey was inversely associated with inconsistent self-report and the response rate for the follow-up survey. |
format | Online Article Text |
id | pubmed-5961601 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-59616012018-05-30 Association between an individual housing-based socioeconomic index and inconsistent self-reporting of health conditions: a prospective cohort study in the Mayo Clinic Biobank Ryu, Euijung Olson, Janet E Juhn, Young J Hathcock, Matthew A Wi, Chung-Il Cerhan, James R Yost, Kathleen J Takahashi, Paul Y BMJ Open Public Health OBJECTIVE: Using surveys to collect self-reported information on health and disease is commonly used in clinical practice and epidemiological research. However, the inconsistency of self-reported information collected longitudinally in repeated surveys is not well investigated. We aimed to investigate whether a socioeconomic status based on current housing characteristics, HOUsing-based SocioEconomic Status (HOUSES) index linking current address information to real estate property data, is associated with inconsistent self-reporting. STUDY SETTING AND PARTICIPANTS: We performed a prospective cohort study using the Mayo Clinic Biobank (MCB) participants who resided in Olmsted County, Minnesota, USA, at the time of enrolment between 2009 and 2013, and were invited for a 4-year follow-up survey (n=11 717). PRIMARY AND SECONDARY OUTCOME MEASURES: Using repeated survey data collected at the baseline and 4 years later, the primary outcome was the inconsistency in survey results when reporting prevalent diseases, defined by reporting to have ‘ever’ been diagnosed with a given disease in the baseline survey but reported ‘never’ in the follow-up survey. Secondary outcome was the response rate for the 4-year follow-up survey. RESULTS: Among the MCB participants invited for the 4-year follow-up survey, 8508/11 717 (73%) responded to the survey. Forty-three per cent had at least one inconsistent self-reported disease. Lower HOUSES was associated with higher inconsistency rates, and the association remained significant after pertinent characteristics such as age and perceived general health (OR=1.46; 95% CI 1.17 to 1.84 for the lowest compared with the highest HOUSES decile). HOUSES was also associated with lower response rate for the follow-up survey (56% vs 77% for the lowest vs the highest HOUSES decile). CONCLUSION: This study demonstrates the importance of using the HOUSES index that reflects current SES when using self-reporting through repeated surveys, as the HOUSES index at baseline survey was inversely associated with inconsistent self-report and the response rate for the follow-up survey. BMJ Publishing Group 2018-05-14 /pmc/articles/PMC5961601/ /pubmed/29764878 http://dx.doi.org/10.1136/bmjopen-2017-020054 Text en © Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2018. All rights reserved. No commercial use is permitted unless otherwise expressly granted. 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 and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ |
spellingShingle | Public Health Ryu, Euijung Olson, Janet E Juhn, Young J Hathcock, Matthew A Wi, Chung-Il Cerhan, James R Yost, Kathleen J Takahashi, Paul Y Association between an individual housing-based socioeconomic index and inconsistent self-reporting of health conditions: a prospective cohort study in the Mayo Clinic Biobank |
title | Association between an individual housing-based socioeconomic index and inconsistent self-reporting of health conditions: a prospective cohort study in the Mayo Clinic Biobank |
title_full | Association between an individual housing-based socioeconomic index and inconsistent self-reporting of health conditions: a prospective cohort study in the Mayo Clinic Biobank |
title_fullStr | Association between an individual housing-based socioeconomic index and inconsistent self-reporting of health conditions: a prospective cohort study in the Mayo Clinic Biobank |
title_full_unstemmed | Association between an individual housing-based socioeconomic index and inconsistent self-reporting of health conditions: a prospective cohort study in the Mayo Clinic Biobank |
title_short | Association between an individual housing-based socioeconomic index and inconsistent self-reporting of health conditions: a prospective cohort study in the Mayo Clinic Biobank |
title_sort | association between an individual housing-based socioeconomic index and inconsistent self-reporting of health conditions: a prospective cohort study in the mayo clinic biobank |
topic | Public Health |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5961601/ https://www.ncbi.nlm.nih.gov/pubmed/29764878 http://dx.doi.org/10.1136/bmjopen-2017-020054 |
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