Risk factors for incident kidney disease in older adults: an Australian prospective population‐based study
Background and Aim To determine risk factors for incident chronic kidney disease (CKD) in a large population‐based cohort. Methods This prospective opt‐in population‐based cohort study is based on the 45 and Up Study, where New South Wales residents aged ≥45 years were randomly sampled from the Serv...
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| Veröffentlicht in: | Internal medicine journal 2022-05, Vol.52 (5), p.808-817 |
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| creator | Kang, Amy Sukkar, Louisa Hockham, Carinna Jun, Min Young, Tamara Scaria, Anish Foote, Celine Neuen, Brendon L. Cass, Alan Pollock, Carol Comino, Elizabeth Lung, Thomas Pecoits‐Filho, Roberto Rogers, Kris Jardine, Meg J. |
| description | Background and Aim
To determine risk factors for incident chronic kidney disease (CKD) in a large population‐based cohort.
Methods
This prospective opt‐in population‐based cohort study is based on the 45 and Up Study, where New South Wales residents aged ≥45 years were randomly sampled from the Services Australia database and agreed to complete the 45 and Up Study baseline questionnaire and have their responses linked to their health data in routinely collected databases. The primary outcome was the development of incident CKD, defined as eGFR |
| doi_str_mv | 10.1111/imj.15074 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_2448638473</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2448638473</sourcerecordid><originalsourceid>FETCH-LOGICAL-c3034-d2b9eb6c34f3cfad556dab78c21b8c66d7de6b8667c252633a6a66927beedcd33</originalsourceid><addsrcrecordid>eNp1kctKxTAQhoMo3he-gATc6KKaW9PW3UG8ogii65AmU8gxp61Jq5ydj-Az-iRGj7oQnM0Mwzc_M_MjtEPJIU1x5GbTQ5qTQiyhdSpEnuVVJZa_apGRivA1tBHjlBBa8EqsojXOCWWUsnXk71x8xI02QxcibrqAXWuchXbAj862MMfWRdARUh933kLA2o5-iMdYt3gyxiFo71LZhy72YAb3DLjv-tHrwXXt--tbnYYtjsNo51topdE-wvZ33kQPZ6f3JxfZ9e355cnkOjOccJFZVldQS8NFw02jbZ5Lq-uiNIzWpZHSFhZkXUpZGJYzybmWWsqKFTWANZbzTbS_0E1LPY0QBzVz0YD3uoVujIoJUUpeiuIT3fuDTrsxtGk7xaSkBRFVVSbqYEGZdGUM0Kg-uJkOc0WJ-rRAJQvUlwWJ3f1WHOsZ2F_y5-cJOFoAL87D_H8ldXlztZD8AFViknY</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2661704998</pqid></control><display><type>article</type><title>Risk factors for incident kidney disease in older adults: an Australian prospective population‐based study</title><source>MEDLINE</source><source>Wiley Online Library Journals Frontfile Complete</source><creator>Kang, Amy ; Sukkar, Louisa ; Hockham, Carinna ; Jun, Min ; Young, Tamara ; Scaria, Anish ; Foote, Celine ; Neuen, Brendon L. ; Cass, Alan ; Pollock, Carol ; Comino, Elizabeth ; Lung, Thomas ; Pecoits‐Filho, Roberto ; Rogers, Kris ; Jardine, Meg J.</creator><creatorcontrib>Kang, Amy ; Sukkar, Louisa ; Hockham, Carinna ; Jun, Min ; Young, Tamara ; Scaria, Anish ; Foote, Celine ; Neuen, Brendon L. ; Cass, Alan ; Pollock, Carol ; Comino, Elizabeth ; Lung, Thomas ; Pecoits‐Filho, Roberto ; Rogers, Kris ; Jardine, Meg J. ; EXTEND45 Study Steering Committee</creatorcontrib><description>Background and Aim
To determine risk factors for incident chronic kidney disease (CKD) in a large population‐based cohort.
Methods
This prospective opt‐in population‐based cohort study is based on the 45 and Up Study, where New South Wales residents aged ≥45 years were randomly sampled from the Services Australia database and agreed to complete the 45 and Up Study baseline questionnaire and have their responses linked to their health data in routinely collected databases. The primary outcome was the development of incident CKD, defined as eGFR < 60 mL/min/1.73 m2. CKD incidence was calculated using Poisson regression. Risk factors for incident CKD were assessed using Cox regression in multivariable models.
Results
In 39 574 participants who did not have CKD at enrolment, independent factors associated with developing CKD included: older age, regional residence (HR 1.38 (1.27–1.50) for outer regional vs major city), smoking (1.13 (1.00–1.27) for current smoker vs non‐smoker), obesity (1.25 (1.16–1.35) for obese vs normal body mass index), diabetes mellitus (1.41 (1.33–1.50)), hypertension (1.53 (1.44–1.62)), coronary heart disease (1.13 (1.07–1.20)), depression/anxiety (1.16 (1.09–1.24)) and cancer (1.29 (1.20–1.39)). Migrants were less likely to develop CKD compared with people born in Australia (0.88 (0.83–0.94)). Gender, partner status and socioeconomic factors were not independently associated with developing CKD.
Conclusions
This large population‐based study found multiple modifiable and non‐modifiable factors were independently associated with developing CKD. In the Australian setting, the risk of CKD was higher with regional residence. Differences according to socioeconomic status were predominantly explained by age, comorbidities and harmful health‐related behaviours.</description><identifier>ISSN: 1444-0903</identifier><identifier>EISSN: 1445-5994</identifier><identifier>DOI: 10.1111/imj.15074</identifier><identifier>PMID: 33012112</identifier><language>eng</language><publisher>Melbourne: John Wiley & Sons Australia, Ltd</publisher><subject>45 and Up Study ; Aged ; Australia - epidemiology ; Body mass index ; Cardiovascular disease ; chronic kidney disease ; Cohort analysis ; Cohort Studies ; cohort study ; Coronary artery disease ; Diabetes mellitus ; Female ; Glomerular Filtration Rate ; Heart diseases ; Humans ; Incidence ; Kidney diseases ; Male ; Obesity ; Obesity - epidemiology ; Population ; Population studies ; Population-based studies ; population‐based cohort ; Prospective Studies ; Regression analysis ; Renal Insufficiency, Chronic - complications ; Risk Factors ; sociodemographic risk factors ; Socioeconomic factors</subject><ispartof>Internal medicine journal, 2022-05, Vol.52 (5), p.808-817</ispartof><rights>2020 Royal Australasian College of Physicians</rights><rights>2020 Royal Australasian College of Physicians.</rights><rights>2022 Royal Australasian College of Physicians</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c3034-d2b9eb6c34f3cfad556dab78c21b8c66d7de6b8667c252633a6a66927beedcd33</citedby><cites>FETCH-LOGICAL-c3034-d2b9eb6c34f3cfad556dab78c21b8c66d7de6b8667c252633a6a66927beedcd33</cites><orcidid>0000-0001-7409-2938 ; 0000-0001-9276-8380 ; 0000-0002-0300-1282</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1111%2Fimj.15074$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1111%2Fimj.15074$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>314,776,780,1411,27901,27902,45550,45551</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/33012112$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Kang, Amy</creatorcontrib><creatorcontrib>Sukkar, Louisa</creatorcontrib><creatorcontrib>Hockham, Carinna</creatorcontrib><creatorcontrib>Jun, Min</creatorcontrib><creatorcontrib>Young, Tamara</creatorcontrib><creatorcontrib>Scaria, Anish</creatorcontrib><creatorcontrib>Foote, Celine</creatorcontrib><creatorcontrib>Neuen, Brendon L.</creatorcontrib><creatorcontrib>Cass, Alan</creatorcontrib><creatorcontrib>Pollock, Carol</creatorcontrib><creatorcontrib>Comino, Elizabeth</creatorcontrib><creatorcontrib>Lung, Thomas</creatorcontrib><creatorcontrib>Pecoits‐Filho, Roberto</creatorcontrib><creatorcontrib>Rogers, Kris</creatorcontrib><creatorcontrib>Jardine, Meg J.</creatorcontrib><creatorcontrib>EXTEND45 Study Steering Committee</creatorcontrib><title>Risk factors for incident kidney disease in older adults: an Australian prospective population‐based study</title><title>Internal medicine journal</title><addtitle>Intern Med J</addtitle><description>Background and Aim
To determine risk factors for incident chronic kidney disease (CKD) in a large population‐based cohort.
Methods
This prospective opt‐in population‐based cohort study is based on the 45 and Up Study, where New South Wales residents aged ≥45 years were randomly sampled from the Services Australia database and agreed to complete the 45 and Up Study baseline questionnaire and have their responses linked to their health data in routinely collected databases. The primary outcome was the development of incident CKD, defined as eGFR < 60 mL/min/1.73 m2. CKD incidence was calculated using Poisson regression. Risk factors for incident CKD were assessed using Cox regression in multivariable models.
Results
In 39 574 participants who did not have CKD at enrolment, independent factors associated with developing CKD included: older age, regional residence (HR 1.38 (1.27–1.50) for outer regional vs major city), smoking (1.13 (1.00–1.27) for current smoker vs non‐smoker), obesity (1.25 (1.16–1.35) for obese vs normal body mass index), diabetes mellitus (1.41 (1.33–1.50)), hypertension (1.53 (1.44–1.62)), coronary heart disease (1.13 (1.07–1.20)), depression/anxiety (1.16 (1.09–1.24)) and cancer (1.29 (1.20–1.39)). Migrants were less likely to develop CKD compared with people born in Australia (0.88 (0.83–0.94)). Gender, partner status and socioeconomic factors were not independently associated with developing CKD.
Conclusions
This large population‐based study found multiple modifiable and non‐modifiable factors were independently associated with developing CKD. In the Australian setting, the risk of CKD was higher with regional residence. Differences according to socioeconomic status were predominantly explained by age, comorbidities and harmful health‐related behaviours.</description><subject>45 and Up Study</subject><subject>Aged</subject><subject>Australia - epidemiology</subject><subject>Body mass index</subject><subject>Cardiovascular disease</subject><subject>chronic kidney disease</subject><subject>Cohort analysis</subject><subject>Cohort Studies</subject><subject>cohort study</subject><subject>Coronary artery disease</subject><subject>Diabetes mellitus</subject><subject>Female</subject><subject>Glomerular Filtration Rate</subject><subject>Heart diseases</subject><subject>Humans</subject><subject>Incidence</subject><subject>Kidney diseases</subject><subject>Male</subject><subject>Obesity</subject><subject>Obesity - epidemiology</subject><subject>Population</subject><subject>Population studies</subject><subject>Population-based studies</subject><subject>population‐based cohort</subject><subject>Prospective Studies</subject><subject>Regression analysis</subject><subject>Renal Insufficiency, Chronic - complications</subject><subject>Risk Factors</subject><subject>sociodemographic risk factors</subject><subject>Socioeconomic factors</subject><issn>1444-0903</issn><issn>1445-5994</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp1kctKxTAQhoMo3he-gATc6KKaW9PW3UG8ogii65AmU8gxp61Jq5ydj-Az-iRGj7oQnM0Mwzc_M_MjtEPJIU1x5GbTQ5qTQiyhdSpEnuVVJZa_apGRivA1tBHjlBBa8EqsojXOCWWUsnXk71x8xI02QxcibrqAXWuchXbAj862MMfWRdARUh933kLA2o5-iMdYt3gyxiFo71LZhy72YAb3DLjv-tHrwXXt--tbnYYtjsNo51topdE-wvZ33kQPZ6f3JxfZ9e355cnkOjOccJFZVldQS8NFw02jbZ5Lq-uiNIzWpZHSFhZkXUpZGJYzybmWWsqKFTWANZbzTbS_0E1LPY0QBzVz0YD3uoVujIoJUUpeiuIT3fuDTrsxtGk7xaSkBRFVVSbqYEGZdGUM0Kg-uJkOc0WJ-rRAJQvUlwWJ3f1WHOsZ2F_y5-cJOFoAL87D_H8ldXlztZD8AFViknY</recordid><startdate>202205</startdate><enddate>202205</enddate><creator>Kang, Amy</creator><creator>Sukkar, Louisa</creator><creator>Hockham, Carinna</creator><creator>Jun, Min</creator><creator>Young, Tamara</creator><creator>Scaria, Anish</creator><creator>Foote, Celine</creator><creator>Neuen, Brendon L.</creator><creator>Cass, Alan</creator><creator>Pollock, Carol</creator><creator>Comino, Elizabeth</creator><creator>Lung, Thomas</creator><creator>Pecoits‐Filho, Roberto</creator><creator>Rogers, Kris</creator><creator>Jardine, Meg J.</creator><general>John Wiley & Sons Australia, Ltd</general><general>Wiley Subscription Services, Inc</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>7T5</scope><scope>7U9</scope><scope>H94</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0001-7409-2938</orcidid><orcidid>https://orcid.org/0000-0001-9276-8380</orcidid><orcidid>https://orcid.org/0000-0002-0300-1282</orcidid></search><sort><creationdate>202205</creationdate><title>Risk factors for incident kidney disease in older adults: an Australian prospective population‐based study</title><author>Kang, Amy ; Sukkar, Louisa ; Hockham, Carinna ; Jun, Min ; Young, Tamara ; Scaria, Anish ; Foote, Celine ; Neuen, Brendon L. ; Cass, Alan ; Pollock, Carol ; Comino, Elizabeth ; Lung, Thomas ; Pecoits‐Filho, Roberto ; Rogers, Kris ; Jardine, Meg J.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c3034-d2b9eb6c34f3cfad556dab78c21b8c66d7de6b8667c252633a6a66927beedcd33</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>45 and Up Study</topic><topic>Aged</topic><topic>Australia - epidemiology</topic><topic>Body mass index</topic><topic>Cardiovascular disease</topic><topic>chronic kidney disease</topic><topic>Cohort analysis</topic><topic>Cohort Studies</topic><topic>cohort study</topic><topic>Coronary artery disease</topic><topic>Diabetes mellitus</topic><topic>Female</topic><topic>Glomerular Filtration Rate</topic><topic>Heart diseases</topic><topic>Humans</topic><topic>Incidence</topic><topic>Kidney diseases</topic><topic>Male</topic><topic>Obesity</topic><topic>Obesity - epidemiology</topic><topic>Population</topic><topic>Population studies</topic><topic>Population-based studies</topic><topic>population‐based cohort</topic><topic>Prospective Studies</topic><topic>Regression analysis</topic><topic>Renal Insufficiency, Chronic - complications</topic><topic>Risk Factors</topic><topic>sociodemographic risk factors</topic><topic>Socioeconomic factors</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Kang, Amy</creatorcontrib><creatorcontrib>Sukkar, Louisa</creatorcontrib><creatorcontrib>Hockham, Carinna</creatorcontrib><creatorcontrib>Jun, Min</creatorcontrib><creatorcontrib>Young, Tamara</creatorcontrib><creatorcontrib>Scaria, Anish</creatorcontrib><creatorcontrib>Foote, Celine</creatorcontrib><creatorcontrib>Neuen, Brendon L.</creatorcontrib><creatorcontrib>Cass, Alan</creatorcontrib><creatorcontrib>Pollock, Carol</creatorcontrib><creatorcontrib>Comino, Elizabeth</creatorcontrib><creatorcontrib>Lung, Thomas</creatorcontrib><creatorcontrib>Pecoits‐Filho, Roberto</creatorcontrib><creatorcontrib>Rogers, Kris</creatorcontrib><creatorcontrib>Jardine, Meg J.</creatorcontrib><creatorcontrib>EXTEND45 Study Steering Committee</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Immunology Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>MEDLINE - Academic</collection><jtitle>Internal medicine journal</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Kang, Amy</au><au>Sukkar, Louisa</au><au>Hockham, Carinna</au><au>Jun, Min</au><au>Young, Tamara</au><au>Scaria, Anish</au><au>Foote, Celine</au><au>Neuen, Brendon L.</au><au>Cass, Alan</au><au>Pollock, Carol</au><au>Comino, Elizabeth</au><au>Lung, Thomas</au><au>Pecoits‐Filho, Roberto</au><au>Rogers, Kris</au><au>Jardine, Meg J.</au><aucorp>EXTEND45 Study Steering Committee</aucorp><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Risk factors for incident kidney disease in older adults: an Australian prospective population‐based study</atitle><jtitle>Internal medicine journal</jtitle><addtitle>Intern Med J</addtitle><date>2022-05</date><risdate>2022</risdate><volume>52</volume><issue>5</issue><spage>808</spage><epage>817</epage><pages>808-817</pages><issn>1444-0903</issn><eissn>1445-5994</eissn><abstract>Background and Aim
To determine risk factors for incident chronic kidney disease (CKD) in a large population‐based cohort.
Methods
This prospective opt‐in population‐based cohort study is based on the 45 and Up Study, where New South Wales residents aged ≥45 years were randomly sampled from the Services Australia database and agreed to complete the 45 and Up Study baseline questionnaire and have their responses linked to their health data in routinely collected databases. The primary outcome was the development of incident CKD, defined as eGFR < 60 mL/min/1.73 m2. CKD incidence was calculated using Poisson regression. Risk factors for incident CKD were assessed using Cox regression in multivariable models.
Results
In 39 574 participants who did not have CKD at enrolment, independent factors associated with developing CKD included: older age, regional residence (HR 1.38 (1.27–1.50) for outer regional vs major city), smoking (1.13 (1.00–1.27) for current smoker vs non‐smoker), obesity (1.25 (1.16–1.35) for obese vs normal body mass index), diabetes mellitus (1.41 (1.33–1.50)), hypertension (1.53 (1.44–1.62)), coronary heart disease (1.13 (1.07–1.20)), depression/anxiety (1.16 (1.09–1.24)) and cancer (1.29 (1.20–1.39)). Migrants were less likely to develop CKD compared with people born in Australia (0.88 (0.83–0.94)). Gender, partner status and socioeconomic factors were not independently associated with developing CKD.
Conclusions
This large population‐based study found multiple modifiable and non‐modifiable factors were independently associated with developing CKD. In the Australian setting, the risk of CKD was higher with regional residence. Differences according to socioeconomic status were predominantly explained by age, comorbidities and harmful health‐related behaviours.</abstract><cop>Melbourne</cop><pub>John Wiley & Sons Australia, Ltd</pub><pmid>33012112</pmid><doi>10.1111/imj.15074</doi><tpages>10</tpages><orcidid>https://orcid.org/0000-0001-7409-2938</orcidid><orcidid>https://orcid.org/0000-0001-9276-8380</orcidid><orcidid>https://orcid.org/0000-0002-0300-1282</orcidid><oa>free_for_read</oa></addata></record> |
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| ispartof | Internal medicine journal, 2022-05, Vol.52 (5), p.808-817 |
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| source | MEDLINE; Wiley Online Library Journals Frontfile Complete |
| subjects | 45 and Up Study Aged Australia - epidemiology Body mass index Cardiovascular disease chronic kidney disease Cohort analysis Cohort Studies cohort study Coronary artery disease Diabetes mellitus Female Glomerular Filtration Rate Heart diseases Humans Incidence Kidney diseases Male Obesity Obesity - epidemiology Population Population studies Population-based studies population‐based cohort Prospective Studies Regression analysis Renal Insufficiency, Chronic - complications Risk Factors sociodemographic risk factors Socioeconomic factors |
| title | Risk factors for incident kidney disease in older adults: an Australian prospective population‐based study |
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