Associations of accelerometer-measured physical activity and sedentary time with chronic kidney disease: The Framingham Heart Study
Few studies examined the individual and conjoint associations of accelerometer-measured physical activity (PA) and sedentary times with the prevalence of chronic kidney disease (CKD) among older adults. We evaluated 1,268 Framingham Offspring Study participants (mean age 69.2 years, 53.8% women) bet...
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| description | Few studies examined the individual and conjoint associations of accelerometer-measured physical activity (PA) and sedentary times with the prevalence of chronic kidney disease (CKD) among older adults.
We evaluated 1,268 Framingham Offspring Study participants (mean age 69.2 years, 53.8% women) between 2011 and 2014. CKD was defined as an estimated glomerular filtration rate (eGFR) |
| doi_str_mv | 10.1371/journal.pone.0234825 |
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We evaluated 1,268 Framingham Offspring Study participants (mean age 69.2 years, 53.8% women) between 2011 and 2014. CKD was defined as an estimated glomerular filtration rate (eGFR) <60 ml/min/1.732 and/or urine albumin-to-creatinine ratio (UACR) ≥25/35 μg/mg (men/women). We used multivariable logistic regression models to relate time spent being sedentary and active with the odds of CKD. We then performed compositional data analysis to estimate the change in the eGFR and UACR when a fixed proportion of time in one activity behavior (among the following: moderate to vigorous physical activity [MVPA], light intensity physical activity [LIPA], and sedentary) is reallocated to another activity behavior.
Overall, 258 participants had prevalent CKD (20.4%; 120 women). Higher total PA ([MVPA+LIPA], adjusted-odds ratio [OR] per 30 minutes/day increase, 0.86; 95% CI, 0.78-0.96) and higher LIPA (OR per 30 minutes/day increase, 0.87; 95% CI, 0.76-0.99) were associated with lower odds of CKD. Additionally, higher sedentary time (OR per 30 minutes/day increase, 1.16; 95% CI, 1.04-1.29) was associated with higher odds of CKD. Reallocating 5% of the time from LIPA to sedentary was associated with the largest predicted difference in eGFR (-1.06 ml/min/1.73m2). Reallocating 1% of time spent in MVPA to sedentary status predicted the largest difference in UACR (14.37 μg/mg).
The findings suggest that increasing LIPA and maintaining MVPA at the expense of sedentary time may be associated with a lower risk of CKD in community-based older adults.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0234825</identifier><identifier>PMID: 32542048</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Accelerometers ; Accelerometry - instrumentation ; Adults ; Age ; Aged ; Albumins ; Antihypertensives ; Behavior ; Biology and Life Sciences ; Calibration ; Chronic kidney failure ; Cohort Studies ; Coronary artery disease ; Creatinine ; Data analysis ; Diabetes ; Disease prevention ; Elderly ; Engineering and Technology ; Epidemiology ; Epidermal growth factor receptors ; Exercise ; Female ; Glomerular filtration rate ; Health aspects ; Health care ; Heart ; Heart diseases ; Humans ; Hypertension ; Kidney diseases ; Kidneys ; Laboratories ; Light intensity ; Longitudinal Studies ; Luminous intensity ; Male ; Medicine and Health Sciences ; Men ; Mortality ; Offspring ; Older people ; People and Places ; Physical activity ; Physiological aspects ; Preventive medicine ; Public health ; Regression analysis ; Regression models ; Renal Insufficiency, Chronic - epidemiology ; Renal Insufficiency, Chronic - physiopathology ; Risk factors ; Sedentary Behavior ; Statistics ; Studies ; Urine ; Women</subject><ispartof>PloS one, 2020-06, Vol.15 (6), p.e0234825-e0234825</ispartof><rights>COPYRIGHT 2020 Public Library of Science</rights><rights>2020 Lee et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2020 Lee et al 2020 Lee et al</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c692t-5a398f3a0178dd595f220d87f322765268b1a631b7e8cafc41ac428ddc8caf6c3</citedby><cites>FETCH-LOGICAL-c692t-5a398f3a0178dd595f220d87f322765268b1a631b7e8cafc41ac428ddc8caf6c3</cites><orcidid>0000-0001-8993-8959</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC7295223/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC7295223/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,860,881,2096,2915,23845,27901,27902,53766,53768,79343,79344</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/32542048$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Shimosawa, Tatsuo</contributor><creatorcontrib>Lee, Joowon</creatorcontrib><creatorcontrib>Walker, Maura E</creatorcontrib><creatorcontrib>Gabriel, Kelley P</creatorcontrib><creatorcontrib>Vasan, Ramachandran S</creatorcontrib><creatorcontrib>Xanthakis, Vanessa</creatorcontrib><title>Associations of accelerometer-measured physical activity and sedentary time with chronic kidney disease: The Framingham Heart Study</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>Few studies examined the individual and conjoint associations of accelerometer-measured physical activity (PA) and sedentary times with the prevalence of chronic kidney disease (CKD) among older adults.
We evaluated 1,268 Framingham Offspring Study participants (mean age 69.2 years, 53.8% women) between 2011 and 2014. CKD was defined as an estimated glomerular filtration rate (eGFR) <60 ml/min/1.732 and/or urine albumin-to-creatinine ratio (UACR) ≥25/35 μg/mg (men/women). We used multivariable logistic regression models to relate time spent being sedentary and active with the odds of CKD. We then performed compositional data analysis to estimate the change in the eGFR and UACR when a fixed proportion of time in one activity behavior (among the following: moderate to vigorous physical activity [MVPA], light intensity physical activity [LIPA], and sedentary) is reallocated to another activity behavior.
Overall, 258 participants had prevalent CKD (20.4%; 120 women). Higher total PA ([MVPA+LIPA], adjusted-odds ratio [OR] per 30 minutes/day increase, 0.86; 95% CI, 0.78-0.96) and higher LIPA (OR per 30 minutes/day increase, 0.87; 95% CI, 0.76-0.99) were associated with lower odds of CKD. Additionally, higher sedentary time (OR per 30 minutes/day increase, 1.16; 95% CI, 1.04-1.29) was associated with higher odds of CKD. Reallocating 5% of the time from LIPA to sedentary was associated with the largest predicted difference in eGFR (-1.06 ml/min/1.73m2). Reallocating 1% of time spent in MVPA to sedentary status predicted the largest difference in UACR (14.37 μg/mg).
The findings suggest that increasing LIPA and maintaining MVPA at the expense of sedentary time may be associated with a lower risk of CKD in community-based older adults.</description><subject>Accelerometers</subject><subject>Accelerometry - instrumentation</subject><subject>Adults</subject><subject>Age</subject><subject>Aged</subject><subject>Albumins</subject><subject>Antihypertensives</subject><subject>Behavior</subject><subject>Biology and Life Sciences</subject><subject>Calibration</subject><subject>Chronic kidney failure</subject><subject>Cohort Studies</subject><subject>Coronary artery disease</subject><subject>Creatinine</subject><subject>Data analysis</subject><subject>Diabetes</subject><subject>Disease prevention</subject><subject>Elderly</subject><subject>Engineering and Technology</subject><subject>Epidemiology</subject><subject>Epidermal growth factor receptors</subject><subject>Exercise</subject><subject>Female</subject><subject>Glomerular filtration rate</subject><subject>Health aspects</subject><subject>Health care</subject><subject>Heart</subject><subject>Heart diseases</subject><subject>Humans</subject><subject>Hypertension</subject><subject>Kidney diseases</subject><subject>Kidneys</subject><subject>Laboratories</subject><subject>Light intensity</subject><subject>Longitudinal Studies</subject><subject>Luminous intensity</subject><subject>Male</subject><subject>Medicine and Health Sciences</subject><subject>Men</subject><subject>Mortality</subject><subject>Offspring</subject><subject>Older people</subject><subject>People and Places</subject><subject>Physical activity</subject><subject>Physiological aspects</subject><subject>Preventive medicine</subject><subject>Public health</subject><subject>Regression analysis</subject><subject>Regression models</subject><subject>Renal Insufficiency, Chronic - epidemiology</subject><subject>Renal Insufficiency, Chronic - physiopathology</subject><subject>Risk factors</subject><subject>Sedentary Behavior</subject><subject>Statistics</subject><subject>Studies</subject><subject>Urine</subject><subject>Women</subject><issn>1932-6203</issn><issn>1932-6203</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>BENPR</sourceid><sourceid>DOA</sourceid><recordid>eNqNk11v0zAUhiMEYmPwDxBYQkJw0eKP2Em4QKomxipNmsQGt9ap7TQuSVxsZ9Br_jju2k0N2gXKRRL7Oe8557VPlr0keEpYQT6s3OB7aKdr15sppiwvKX-UHZOK0YmgmD0--D7KnoWwwpizUoin2RGjPKc4L4-zP7MQnLIQresDcjUCpUxrvOtMNH7SGQiDNxqtm02wCtq0H-2NjRsEvUbBaNNH8BsUbWfQLxsbpBrveqvQD6t7s0HahqRhPqLrxqAzD53tlw106NyAj-gqDnrzPHtSQxvMi_37JPt29vn69Hxycfllfjq7mChR0TjhwKqyZoBJUWrNK15TinVZ1IzSQnAqygUBwciiMKWCWuUEVE4Tqra_QrGT7PVOd926IPf-BUlzwnJSMCYSMd8R2sFKrr3tUm_SgZW3C84vZaraqtbI5DfmNQbCRJUy1VCkYrBglHGGGddJ69M-27DojFbJKA_tSHS809tGLt2NLGjFKWVJ4N1ewLufgwlRdjakw2mhN27Y1V1VghckoW_-QR_ubk8tITVg-9qlvGorKmeCioIQjLdppw9Q6dGmsypdttqm9VHA-1FAYqL5HZcwhCDnV1__n738PmbfHrCNgTY2wbXD7VUdg_kOVN6F4E19bzLBcjsrd27I7azI_ayksFeHB3QfdDcc7C_15w9o</recordid><startdate>20200615</startdate><enddate>20200615</enddate><creator>Lee, Joowon</creator><creator>Walker, Maura E</creator><creator>Gabriel, Kelley P</creator><creator>Vasan, Ramachandran S</creator><creator>Xanthakis, Vanessa</creator><general>Public Library of Science</general><general>Public Library of Science (PLoS)</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>IOV</scope><scope>ISR</scope><scope>3V.</scope><scope>7QG</scope><scope>7QL</scope><scope>7QO</scope><scope>7RV</scope><scope>7SN</scope><scope>7SS</scope><scope>7T5</scope><scope>7TG</scope><scope>7TM</scope><scope>7U9</scope><scope>7X2</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8C1</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>D1I</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>H94</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB.</scope><scope>KB0</scope><scope>KL.</scope><scope>L6V</scope><scope>LK8</scope><scope>M0K</scope><scope>M0S</scope><scope>M1P</scope><scope>M7N</scope><scope>M7P</scope><scope>M7S</scope><scope>NAPCQ</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PATMY</scope><scope>PDBOC</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>RC3</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0001-8993-8959</orcidid></search><sort><creationdate>20200615</creationdate><title>Associations of accelerometer-measured physical activity and sedentary time with chronic kidney disease: The Framingham Heart Study</title><author>Lee, Joowon ; Walker, Maura E ; Gabriel, Kelley P ; Vasan, Ramachandran S ; Xanthakis, Vanessa</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c692t-5a398f3a0178dd595f220d87f322765268b1a631b7e8cafc41ac428ddc8caf6c3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Accelerometers</topic><topic>Accelerometry - 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Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>PloS one</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Lee, Joowon</au><au>Walker, Maura E</au><au>Gabriel, Kelley P</au><au>Vasan, Ramachandran S</au><au>Xanthakis, Vanessa</au><au>Shimosawa, Tatsuo</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Associations of accelerometer-measured physical activity and sedentary time with chronic kidney disease: The Framingham Heart Study</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2020-06-15</date><risdate>2020</risdate><volume>15</volume><issue>6</issue><spage>e0234825</spage><epage>e0234825</epage><pages>e0234825-e0234825</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>Few studies examined the individual and conjoint associations of accelerometer-measured physical activity (PA) and sedentary times with the prevalence of chronic kidney disease (CKD) among older adults.
We evaluated 1,268 Framingham Offspring Study participants (mean age 69.2 years, 53.8% women) between 2011 and 2014. CKD was defined as an estimated glomerular filtration rate (eGFR) <60 ml/min/1.732 and/or urine albumin-to-creatinine ratio (UACR) ≥25/35 μg/mg (men/women). We used multivariable logistic regression models to relate time spent being sedentary and active with the odds of CKD. We then performed compositional data analysis to estimate the change in the eGFR and UACR when a fixed proportion of time in one activity behavior (among the following: moderate to vigorous physical activity [MVPA], light intensity physical activity [LIPA], and sedentary) is reallocated to another activity behavior.
Overall, 258 participants had prevalent CKD (20.4%; 120 women). Higher total PA ([MVPA+LIPA], adjusted-odds ratio [OR] per 30 minutes/day increase, 0.86; 95% CI, 0.78-0.96) and higher LIPA (OR per 30 minutes/day increase, 0.87; 95% CI, 0.76-0.99) were associated with lower odds of CKD. Additionally, higher sedentary time (OR per 30 minutes/day increase, 1.16; 95% CI, 1.04-1.29) was associated with higher odds of CKD. Reallocating 5% of the time from LIPA to sedentary was associated with the largest predicted difference in eGFR (-1.06 ml/min/1.73m2). Reallocating 1% of time spent in MVPA to sedentary status predicted the largest difference in UACR (14.37 μg/mg).
The findings suggest that increasing LIPA and maintaining MVPA at the expense of sedentary time may be associated with a lower risk of CKD in community-based older adults.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>32542048</pmid><doi>10.1371/journal.pone.0234825</doi><tpages>e0234825</tpages><orcidid>https://orcid.org/0000-0001-8993-8959</orcidid><oa>free_for_read</oa></addata></record> |
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| source | Public Library of Science (PLoS) Journals Open Access; MEDLINE; DOAJ Directory of Open Access Journals; EZB-FREE-00999 freely available EZB journals; PubMed Central; Free Full-Text Journals in Chemistry |
| subjects | Accelerometers Accelerometry - instrumentation Adults Age Aged Albumins Antihypertensives Behavior Biology and Life Sciences Calibration Chronic kidney failure Cohort Studies Coronary artery disease Creatinine Data analysis Diabetes Disease prevention Elderly Engineering and Technology Epidemiology Epidermal growth factor receptors Exercise Female Glomerular filtration rate Health aspects Health care Heart Heart diseases Humans Hypertension Kidney diseases Kidneys Laboratories Light intensity Longitudinal Studies Luminous intensity Male Medicine and Health Sciences Men Mortality Offspring Older people People and Places Physical activity Physiological aspects Preventive medicine Public health Regression analysis Regression models Renal Insufficiency, Chronic - epidemiology Renal Insufficiency, Chronic - physiopathology Risk factors Sedentary Behavior Statistics Studies Urine Women |
| title | Associations of accelerometer-measured physical activity and sedentary time with chronic kidney disease: The Framingham Heart Study |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-28T18%3A31%3A50IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_plos_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Associations%20of%20accelerometer-measured%20physical%20activity%20and%20sedentary%20time%20with%20chronic%20kidney%20disease:%20The%20Framingham%20Heart%20Study&rft.jtitle=PloS%20one&rft.au=Lee,%20Joowon&rft.date=2020-06-15&rft.volume=15&rft.issue=6&rft.spage=e0234825&rft.epage=e0234825&rft.pages=e0234825-e0234825&rft.issn=1932-6203&rft.eissn=1932-6203&rft_id=info:doi/10.1371/journal.pone.0234825&rft_dat=%3Cgale_plos_%3EA626711003%3C/gale_plos_%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2413417336&rft_id=info:pmid/32542048&rft_galeid=A626711003&rft_doaj_id=oai_doaj_org_article_34805f0a136941afa720d0632353035d&rfr_iscdi=true |