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Using PhenX toolkit measures and other tools to assess urban/rural differences in health behaviors: recruitment methods and outcomes
BACKGROUND: The overall study was designed to examine how vacation behavior affects rural and urban Minnesotans and North Dakotans. The purpose of this substudy was to describe the method for sampling, follow-up and response rate by gender and urban/rural location to help inform future studies in th...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4289386/ https://www.ncbi.nlm.nih.gov/pubmed/25425113 http://dx.doi.org/10.1186/1756-0500-7-847 |
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author | Hitz, Michael M Conway, Pat G Palcher, Jeanette A McCarty, Catherine A |
author_facet | Hitz, Michael M Conway, Pat G Palcher, Jeanette A McCarty, Catherine A |
author_sort | Hitz, Michael M |
collection | PubMed |
description | BACKGROUND: The overall study was designed to examine how vacation behavior affects rural and urban Minnesotans and North Dakotans. The purpose of this substudy was to describe the method for sampling, follow-up and response rate by gender and urban/rural location to help inform future studies in this population. METHODS: Essentia health primary care patients (n = 1344) were sent a 21-page self-administered questionnaire. The questionnaire included questions on demographics, work history, perceived stress, work productivity, depression and mania screeners, tobacco use, dietary information, vacation habits, and technology use. Participants were offered $10 to complete the questionnaire. RESULTS: The overall response to the three mailings to 1344 adults aged 25–64 was 38.8% for a final sample size of 522 completed surveys. Despite the oversampling of males, the total number of responses from males was lower than for females. The response rates between urban and rural locations were nearly identical for the males (33.3% and 33.0% respectively) but higher for rural females than urban females (47.2% and 42.6% respectively). Seventy-eight percent were currently employed. Sixty-nine percent of the participants reported being married, 5.4% were living with a partner, 14% were divorced widowed or separated and 11% were never married. Forty-seven percent of our population had an associate degree or some college, 29% had a Bachelor’s degree or higher, 17% had their diploma or equivalent and 2% had not completed high school. CONCLUSIONS: The goal of the sampling frame and recruitment strategy for this study was to assemble a cohort of approximately 1000 working adults, represented equally by age, gender and rural location. We ended up with a smaller cohort than desired. The law of diminishing returns was observed, although the third mailing was more effective for men than women. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/1756-0500-7-847) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-4289386 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-42893862015-01-11 Using PhenX toolkit measures and other tools to assess urban/rural differences in health behaviors: recruitment methods and outcomes Hitz, Michael M Conway, Pat G Palcher, Jeanette A McCarty, Catherine A BMC Res Notes Research Article BACKGROUND: The overall study was designed to examine how vacation behavior affects rural and urban Minnesotans and North Dakotans. The purpose of this substudy was to describe the method for sampling, follow-up and response rate by gender and urban/rural location to help inform future studies in this population. METHODS: Essentia health primary care patients (n = 1344) were sent a 21-page self-administered questionnaire. The questionnaire included questions on demographics, work history, perceived stress, work productivity, depression and mania screeners, tobacco use, dietary information, vacation habits, and technology use. Participants were offered $10 to complete the questionnaire. RESULTS: The overall response to the three mailings to 1344 adults aged 25–64 was 38.8% for a final sample size of 522 completed surveys. Despite the oversampling of males, the total number of responses from males was lower than for females. The response rates between urban and rural locations were nearly identical for the males (33.3% and 33.0% respectively) but higher for rural females than urban females (47.2% and 42.6% respectively). Seventy-eight percent were currently employed. Sixty-nine percent of the participants reported being married, 5.4% were living with a partner, 14% were divorced widowed or separated and 11% were never married. Forty-seven percent of our population had an associate degree or some college, 29% had a Bachelor’s degree or higher, 17% had their diploma or equivalent and 2% had not completed high school. CONCLUSIONS: The goal of the sampling frame and recruitment strategy for this study was to assemble a cohort of approximately 1000 working adults, represented equally by age, gender and rural location. We ended up with a smaller cohort than desired. The law of diminishing returns was observed, although the third mailing was more effective for men than women. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/1756-0500-7-847) contains supplementary material, which is available to authorized users. BioMed Central 2014-11-26 /pmc/articles/PMC4289386/ /pubmed/25425113 http://dx.doi.org/10.1186/1756-0500-7-847 Text en © Hitz et al.; licensee BioMed Central. 2014 This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Article Hitz, Michael M Conway, Pat G Palcher, Jeanette A McCarty, Catherine A Using PhenX toolkit measures and other tools to assess urban/rural differences in health behaviors: recruitment methods and outcomes |
title | Using PhenX toolkit measures and other tools to assess urban/rural differences in health behaviors: recruitment methods and outcomes |
title_full | Using PhenX toolkit measures and other tools to assess urban/rural differences in health behaviors: recruitment methods and outcomes |
title_fullStr | Using PhenX toolkit measures and other tools to assess urban/rural differences in health behaviors: recruitment methods and outcomes |
title_full_unstemmed | Using PhenX toolkit measures and other tools to assess urban/rural differences in health behaviors: recruitment methods and outcomes |
title_short | Using PhenX toolkit measures and other tools to assess urban/rural differences in health behaviors: recruitment methods and outcomes |
title_sort | using phenx toolkit measures and other tools to assess urban/rural differences in health behaviors: recruitment methods and outcomes |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4289386/ https://www.ncbi.nlm.nih.gov/pubmed/25425113 http://dx.doi.org/10.1186/1756-0500-7-847 |
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