Barriers and facilitators of driving status among older persons

The present study aimed to investigate the effect of social determinants and socio-demographic factors on driving among older adults living in Tehran, Iran. This cross-sectional study was conducted on 1280 older adults in Tehran in 2020. The participants were randomly selected from people aged 60 ye...

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Veröffentlicht in:Ageing international 2022-09, Vol.47 (3), p.503-515
Hauptverfasser: Mohaqeqi Kamal, Seyed Hossein, Abolfathi Momtaz, Yadollah, Basakha, Mehdi, Ahmadi, Sina, Karimi, Salah Eddin, Omidi Oskouei, Alireza, Zanjari, Nasibeh, SoleimanvandiAzar, Neda
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container_title Ageing international
container_volume 47
creator Mohaqeqi Kamal, Seyed Hossein
Abolfathi Momtaz, Yadollah
Basakha, Mehdi
Ahmadi, Sina
Karimi, Salah Eddin
Omidi Oskouei, Alireza
Zanjari, Nasibeh
SoleimanvandiAzar, Neda
description The present study aimed to investigate the effect of social determinants and socio-demographic factors on driving among older adults living in Tehran, Iran. This cross-sectional study was conducted on 1280 older adults in Tehran in 2020. The participants were randomly selected from people aged 60 years and above. Data were collected using a questionnaire. Multiple logistic regression was employed to estimate the effects of socio-demographic characteristics on driving status among older persons. Data analysis was performed by SPSS 23.0. The driving among older adults was found to be 33.3% while it was 70.6% among the older adults with a driver's license. There was a significant relationship between internet use, gender, health status, education level, loneliness and driving status ( p  
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This cross-sectional study was conducted on 1280 older adults in Tehran in 2020. The participants were randomly selected from people aged 60 years and above. Data were collected using a questionnaire. Multiple logistic regression was employed to estimate the effects of socio-demographic characteristics on driving status among older persons. Data analysis was performed by SPSS 23.0. The driving among older adults was found to be 33.3% while it was 70.6% among the older adults with a driver's license. There was a significant relationship between internet use, gender, health status, education level, loneliness and driving status ( p  < 0.05). The results also revealed that male participants (OR = 19.51, 95% CI: 13.10–29.06), those with good (AOR = 6.06, p  < 0.001) or fair (AOR = 2.34, p  < 0.051) health status, those with diploma degree (AOR = 2.46, p  < 0.021), high education (AOR = 2.14, p  < 0.033), internet users (AOR = 2.44, p  < 0.001), and being married (AOR = 2.28, p  < 0.001) were more likely to report driving. According to the results, driving was found to be low among older adults and gender gaps regarding car use are much wider in this group. On the other hand, there is a significant association between driving with well-being, loneliness, and internet use by older persons. Therefore, it is suggested that policies be designed and implemented to motivate them to drive.]]></description><identifier>ISSN: 0163-5158</identifier><identifier>EISSN: 1936-606X</identifier><identifier>DOI: 10.1007/s12126-021-09431-z</identifier><language>eng</language><publisher>New York: Springer US</publisher><subject>Aging ; Automobile driving ; Automobiles ; Cross-sectional studies ; Demography ; Driving ; Gender ; Gender relations ; Health education ; Health status ; Internet ; Loneliness ; Older people ; Social factors ; Social Sciences ; Sociodemographics ; Traffic accidents &amp; safety ; Well being</subject><ispartof>Ageing international, 2022-09, Vol.47 (3), p.503-515</ispartof><rights>The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2021</rights><rights>The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2021.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c385t-f655383bf72c1c8e79acd617e1224f33f3d10fc8616a208966623f04060930643</citedby><cites>FETCH-LOGICAL-c385t-f655383bf72c1c8e79acd617e1224f33f3d10fc8616a208966623f04060930643</cites><orcidid>0000-0001-8183-4012 ; 0000-0002-9840-5588 ; 0000-0002-2360-7492 ; 0000-0003-2550-7898 ; 0000-0003-1939-1470 ; 0000-0002-7553-8206 ; 0000-0002-1542-0214 ; 0000-0002-9821-7683</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s12126-021-09431-z$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s12126-021-09431-z$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,777,781,12827,27325,27905,27906,30980,33755,41469,42538,51300</link.rule.ids></links><search><creatorcontrib>Mohaqeqi Kamal, Seyed Hossein</creatorcontrib><creatorcontrib>Abolfathi Momtaz, Yadollah</creatorcontrib><creatorcontrib>Basakha, Mehdi</creatorcontrib><creatorcontrib>Ahmadi, Sina</creatorcontrib><creatorcontrib>Karimi, Salah Eddin</creatorcontrib><creatorcontrib>Omidi Oskouei, Alireza</creatorcontrib><creatorcontrib>Zanjari, Nasibeh</creatorcontrib><creatorcontrib>SoleimanvandiAzar, Neda</creatorcontrib><title>Barriers and facilitators of driving status among older persons</title><title>Ageing international</title><addtitle>Ageing Int</addtitle><description><![CDATA[The present study aimed to investigate the effect of social determinants and socio-demographic factors on driving among older adults living in Tehran, Iran. 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This cross-sectional study was conducted on 1280 older adults in Tehran in 2020. The participants were randomly selected from people aged 60 years and above. Data were collected using a questionnaire. Multiple logistic regression was employed to estimate the effects of socio-demographic characteristics on driving status among older persons. Data analysis was performed by SPSS 23.0. The driving among older adults was found to be 33.3% while it was 70.6% among the older adults with a driver's license. There was a significant relationship between internet use, gender, health status, education level, loneliness and driving status ( p  < 0.05). The results also revealed that male participants (OR = 19.51, 95% CI: 13.10–29.06), those with good (AOR = 6.06, p  < 0.001) or fair (AOR = 2.34, p  < 0.051) health status, those with diploma degree (AOR = 2.46, p  < 0.021), high education (AOR = 2.14, p  < 0.033), internet users (AOR = 2.44, p  < 0.001), and being married (AOR = 2.28, p  < 0.001) were more likely to report driving. According to the results, driving was found to be low among older adults and gender gaps regarding car use are much wider in this group. On the other hand, there is a significant association between driving with well-being, loneliness, and internet use by older persons. 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source Applied Social Sciences Index & Abstracts (ASSIA); SpringerLink; Sociological Abstracts
subjects Aging
Automobile driving
Automobiles
Cross-sectional studies
Demography
Driving
Gender
Gender relations
Health education
Health status
Internet
Loneliness
Older people
Social factors
Social Sciences
Sociodemographics
Traffic accidents & safety
Well being
title Barriers and facilitators of driving status among older persons
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