Risk Factors of Progression to Frailty: Findings from the Singapore Longitudinal Ageing Study
Objectives To investigate risk factors of incident physical frailty. Design A population-based observational longitudinal study. Setting Community-dwelling elderly with age 55 years and above recruited from 2009 through 2011 in the second wave Singapore Longitudinal Ageing Study-2 (SLAS-2) were foll...
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| Veröffentlicht in: | The Journal of nutrition, health & aging health & aging, 2020, Vol.24 (1), p.98-106 |
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| creator | Cheong, C. Y. Nyunt, M. S. Z. Gao, Q. Gwee, X. Choo, R. W. M. Yap, K. B. Wee, S. L. Ng, Tze-Pin |
| description | Objectives
To investigate risk factors of incident physical frailty.
Design
A population-based observational longitudinal study.
Setting
Community-dwelling elderly with age 55 years and above recruited from 2009 through 2011 in the second wave Singapore Longitudinal Ageing Study-2 (SLAS-2) were followed up 3–5 years later.
Participants
A total of 1297 participants, mean age of 65.6 ±0.19, who were free of physical frailty.
Measurements
Incident frailty defined by three or more criteria of the physical phenotype used in the Cardiovascular Health Study was determined at follow-up. Potential risk factors assessed at baseline included demographic, socioeconomic, medical, psychological factors, and biochemical markers.
Results
A total of 204 (15.7%) participants, including 81 (10.87%) of the robust and 123 (22.28%) of the prefrail transited to frailty at follow-up. Age, no education, MMSE score, diabetes, prediabetes and diabetes, arthritis, ≥5 medications, fair and poor self-rated health, moderate to high nutritional risk (NSI ≥3), Hb (g/dL), CRP (mg/L), low B12, low folate, albumin (g/L), low total cholesterol, adjusted for sex, age and education, were significantly associated (p |
| doi_str_mv | 10.1007/s12603-019-1277-8 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_2331431937</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2331431937</sourcerecordid><originalsourceid>FETCH-LOGICAL-c415t-ef8115e1e3d5c025cb069bf07d6b1cde161a0e4b381a3658cd4a7cdb2bdda8103</originalsourceid><addsrcrecordid>eNp1kE1LxDAURYMoOo7-ADcScOOmmte0SepuGBwVBhQ_lhLSJK0dO82YtIv590bHDxBcJY973k04CB0BOQNC-HmAlBGaECgSSDlPxBYaAWckybgQ2_Ge8iLhnPA9tB_CgpAsLwTbRXsUhGAC8hF6vm_CK54p3TsfsKvwnXe1tyE0rsO9wzOvmrZfX-BZ05mmqwOuvFvi_sXihziqlfMWz11XN_0Qc9XiSW1jgB_ivD5AO5Vqgz38OsfoaXb5OL1O5rdXN9PJPNEZ5H1iKwGQW7DU5JqkuS4JK8qKcMNK0MYCA0VsVlIBirJcaJMprk2ZlsYoAYSO0emmd-Xd22BDL5dN0LZtVWfdEGRKKWQUCsojevIHXbjBx49_UqSgLONZpGBDae9C8LaSK98slV9LIPLDvdy4l9G9_HAvRdw5_moeyqU1PxvfsiOQboAQo662_vfp_1vfAYusjww</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2330936474</pqid></control><display><type>article</type><title>Risk Factors of Progression to Frailty: Findings from the Singapore Longitudinal Ageing Study</title><source>MEDLINE</source><source>SpringerNature Journals</source><source>Alma/SFX Local Collection</source><creator>Cheong, C. Y. ; Nyunt, M. S. Z. ; Gao, Q. ; Gwee, X. ; Choo, R. W. M. ; Yap, K. B. ; Wee, S. L. ; Ng, Tze-Pin</creator><creatorcontrib>Cheong, C. Y. ; Nyunt, M. S. Z. ; Gao, Q. ; Gwee, X. ; Choo, R. W. M. ; Yap, K. B. ; Wee, S. L. ; Ng, Tze-Pin</creatorcontrib><description>Objectives
To investigate risk factors of incident physical frailty.
Design
A population-based observational longitudinal study.
Setting
Community-dwelling elderly with age 55 years and above recruited from 2009 through 2011 in the second wave Singapore Longitudinal Ageing Study-2 (SLAS-2) were followed up 3–5 years later.
Participants
A total of 1297 participants, mean age of 65.6 ±0.19, who were free of physical frailty.
Measurements
Incident frailty defined by three or more criteria of the physical phenotype used in the Cardiovascular Health Study was determined at follow-up. Potential risk factors assessed at baseline included demographic, socioeconomic, medical, psychological factors, and biochemical markers.
Results
A total of 204 (15.7%) participants, including 81 (10.87%) of the robust and 123 (22.28%) of the prefrail transited to frailty at follow-up. Age, no education, MMSE score, diabetes, prediabetes and diabetes, arthritis, ≥5 medications, fair and poor self-rated health, moderate to high nutritional risk (NSI ≥3), Hb (g/dL), CRP (mg/L), low B12, low folate, albumin (g/L), low total cholesterol, adjusted for sex, age and education, were significantly associated (p<0.05) with incident frailty. In stepwise selection models, age (year) (OR=1.07, 95%CI=1.03–1.10, p<0.001), albumin (g/L) (OR=0.85, 95%CI=0.77–0.94, p=0.002), MMSE score (OR=0.88, 95%CI=0.78–0.98, p=0.02), low folate (OR=3.72, 95%CI=1.17–11.86, p=0.03, and previous hospitalization (OR=2.26, 95%CI=1.01–5.04,p=0.05) were significantly associated with incident frailty.
Conclusions
The study revealed multiple modifiable risk factors, especially related to poor nutrition, for which preventive measures and early management could potentially halt or delay the development of frailty.</description><identifier>ISSN: 1279-7707</identifier><identifier>EISSN: 1760-4788</identifier><identifier>DOI: 10.1007/s12603-019-1277-8</identifier><identifier>PMID: 31886815</identifier><language>eng</language><publisher>Paris: Springer Paris</publisher><subject>Age ; Aged ; Aged, 80 and over ; Aging ; Aging - physiology ; Diabetes ; Disease Progression ; Female ; Frail Elderly - statistics & numerical data ; Frailty ; Frailty - physiopathology ; Geriatric Assessment ; Geriatrics/Gerontology ; Humans ; Independent Living ; Longitudinal Studies ; Male ; Medicine ; Medicine & Public Health ; Neurosciences ; Nutrition ; Nutrition Assessment ; Nutritional Status - physiology ; Physical Examination ; Primary Care Medicine ; Quality of Life Research ; Risk Factors ; Singapore ; Socioeconomic Factors</subject><ispartof>The Journal of nutrition, health & aging, 2020, Vol.24 (1), p.98-106</ispartof><rights>Serdi and Springer-Verlag International SAS, part of Springer Nature 2019</rights><rights>The journal of nutrition, health & aging is a copyright of Springer, (2019). All Rights Reserved.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c415t-ef8115e1e3d5c025cb069bf07d6b1cde161a0e4b381a3658cd4a7cdb2bdda8103</citedby><cites>FETCH-LOGICAL-c415t-ef8115e1e3d5c025cb069bf07d6b1cde161a0e4b381a3658cd4a7cdb2bdda8103</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s12603-019-1277-8$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s12603-019-1277-8$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,780,784,4024,27923,27924,27925,41488,42557,51319</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/31886815$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Cheong, C. Y.</creatorcontrib><creatorcontrib>Nyunt, M. S. Z.</creatorcontrib><creatorcontrib>Gao, Q.</creatorcontrib><creatorcontrib>Gwee, X.</creatorcontrib><creatorcontrib>Choo, R. W. M.</creatorcontrib><creatorcontrib>Yap, K. B.</creatorcontrib><creatorcontrib>Wee, S. L.</creatorcontrib><creatorcontrib>Ng, Tze-Pin</creatorcontrib><title>Risk Factors of Progression to Frailty: Findings from the Singapore Longitudinal Ageing Study</title><title>The Journal of nutrition, health & aging</title><addtitle>J Nutr Health Aging</addtitle><addtitle>J Nutr Health Aging</addtitle><description>Objectives
To investigate risk factors of incident physical frailty.
Design
A population-based observational longitudinal study.
Setting
Community-dwelling elderly with age 55 years and above recruited from 2009 through 2011 in the second wave Singapore Longitudinal Ageing Study-2 (SLAS-2) were followed up 3–5 years later.
Participants
A total of 1297 participants, mean age of 65.6 ±0.19, who were free of physical frailty.
Measurements
Incident frailty defined by three or more criteria of the physical phenotype used in the Cardiovascular Health Study was determined at follow-up. Potential risk factors assessed at baseline included demographic, socioeconomic, medical, psychological factors, and biochemical markers.
Results
A total of 204 (15.7%) participants, including 81 (10.87%) of the robust and 123 (22.28%) of the prefrail transited to frailty at follow-up. Age, no education, MMSE score, diabetes, prediabetes and diabetes, arthritis, ≥5 medications, fair and poor self-rated health, moderate to high nutritional risk (NSI ≥3), Hb (g/dL), CRP (mg/L), low B12, low folate, albumin (g/L), low total cholesterol, adjusted for sex, age and education, were significantly associated (p<0.05) with incident frailty. In stepwise selection models, age (year) (OR=1.07, 95%CI=1.03–1.10, p<0.001), albumin (g/L) (OR=0.85, 95%CI=0.77–0.94, p=0.002), MMSE score (OR=0.88, 95%CI=0.78–0.98, p=0.02), low folate (OR=3.72, 95%CI=1.17–11.86, p=0.03, and previous hospitalization (OR=2.26, 95%CI=1.01–5.04,p=0.05) were significantly associated with incident frailty.
Conclusions
The study revealed multiple modifiable risk factors, especially related to poor nutrition, for which preventive measures and early management could potentially halt or delay the development of frailty.</description><subject>Age</subject><subject>Aged</subject><subject>Aged, 80 and over</subject><subject>Aging</subject><subject>Aging - physiology</subject><subject>Diabetes</subject><subject>Disease Progression</subject><subject>Female</subject><subject>Frail Elderly - statistics & numerical data</subject><subject>Frailty</subject><subject>Frailty - physiopathology</subject><subject>Geriatric Assessment</subject><subject>Geriatrics/Gerontology</subject><subject>Humans</subject><subject>Independent Living</subject><subject>Longitudinal Studies</subject><subject>Male</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Neurosciences</subject><subject>Nutrition</subject><subject>Nutrition Assessment</subject><subject>Nutritional Status - physiology</subject><subject>Physical Examination</subject><subject>Primary Care Medicine</subject><subject>Quality of Life Research</subject><subject>Risk Factors</subject><subject>Singapore</subject><subject>Socioeconomic Factors</subject><issn>1279-7707</issn><issn>1760-4788</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNp1kE1LxDAURYMoOo7-ADcScOOmmte0SepuGBwVBhQ_lhLSJK0dO82YtIv590bHDxBcJY973k04CB0BOQNC-HmAlBGaECgSSDlPxBYaAWckybgQ2_Ge8iLhnPA9tB_CgpAsLwTbRXsUhGAC8hF6vm_CK54p3TsfsKvwnXe1tyE0rsO9wzOvmrZfX-BZ05mmqwOuvFvi_sXihziqlfMWz11XN_0Qc9XiSW1jgB_ivD5AO5Vqgz38OsfoaXb5OL1O5rdXN9PJPNEZ5H1iKwGQW7DU5JqkuS4JK8qKcMNK0MYCA0VsVlIBirJcaJMprk2ZlsYoAYSO0emmd-Xd22BDL5dN0LZtVWfdEGRKKWQUCsojevIHXbjBx49_UqSgLONZpGBDae9C8LaSK98slV9LIPLDvdy4l9G9_HAvRdw5_moeyqU1PxvfsiOQboAQo662_vfp_1vfAYusjww</recordid><startdate>2020</startdate><enddate>2020</enddate><creator>Cheong, C. Y.</creator><creator>Nyunt, M. S. Z.</creator><creator>Gao, Q.</creator><creator>Gwee, X.</creator><creator>Choo, R. W. M.</creator><creator>Yap, K. B.</creator><creator>Wee, S. L.</creator><creator>Ng, Tze-Pin</creator><general>Springer Paris</general><general>Springer Nature B.V</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>3V.</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>88G</scope><scope>8AO</scope><scope>8C1</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>K9.</scope><scope>M0S</scope><scope>M1P</scope><scope>M2M</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PSYQQ</scope><scope>Q9U</scope><scope>7X8</scope></search><sort><creationdate>2020</creationdate><title>Risk Factors of Progression to Frailty: Findings from the Singapore Longitudinal Ageing Study</title><author>Cheong, C. Y. ; Nyunt, M. S. Z. ; Gao, Q. ; Gwee, X. ; Choo, R. W. M. ; Yap, K. B. ; Wee, S. L. ; Ng, Tze-Pin</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c415t-ef8115e1e3d5c025cb069bf07d6b1cde161a0e4b381a3658cd4a7cdb2bdda8103</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Age</topic><topic>Aged</topic><topic>Aged, 80 and over</topic><topic>Aging</topic><topic>Aging - physiology</topic><topic>Diabetes</topic><topic>Disease Progression</topic><topic>Female</topic><topic>Frail Elderly - statistics & numerical data</topic><topic>Frailty</topic><topic>Frailty - physiopathology</topic><topic>Geriatric Assessment</topic><topic>Geriatrics/Gerontology</topic><topic>Humans</topic><topic>Independent Living</topic><topic>Longitudinal Studies</topic><topic>Male</topic><topic>Medicine</topic><topic>Medicine & Public Health</topic><topic>Neurosciences</topic><topic>Nutrition</topic><topic>Nutrition Assessment</topic><topic>Nutritional Status - physiology</topic><topic>Physical Examination</topic><topic>Primary Care Medicine</topic><topic>Quality of Life Research</topic><topic>Risk Factors</topic><topic>Singapore</topic><topic>Socioeconomic Factors</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Cheong, C. Y.</creatorcontrib><creatorcontrib>Nyunt, M. S. Z.</creatorcontrib><creatorcontrib>Gao, Q.</creatorcontrib><creatorcontrib>Gwee, X.</creatorcontrib><creatorcontrib>Choo, R. W. M.</creatorcontrib><creatorcontrib>Yap, K. B.</creatorcontrib><creatorcontrib>Wee, S. L.</creatorcontrib><creatorcontrib>Ng, Tze-Pin</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Psychology Database (Alumni)</collection><collection>ProQuest Pharma Collection</collection><collection>Public Health Database</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Psychology Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>ProQuest One Psychology</collection><collection>ProQuest Central Basic</collection><collection>MEDLINE - Academic</collection><jtitle>The Journal of nutrition, health & aging</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Cheong, C. Y.</au><au>Nyunt, M. S. Z.</au><au>Gao, Q.</au><au>Gwee, X.</au><au>Choo, R. W. M.</au><au>Yap, K. B.</au><au>Wee, S. L.</au><au>Ng, Tze-Pin</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Risk Factors of Progression to Frailty: Findings from the Singapore Longitudinal Ageing Study</atitle><jtitle>The Journal of nutrition, health & aging</jtitle><stitle>J Nutr Health Aging</stitle><addtitle>J Nutr Health Aging</addtitle><date>2020</date><risdate>2020</risdate><volume>24</volume><issue>1</issue><spage>98</spage><epage>106</epage><pages>98-106</pages><issn>1279-7707</issn><eissn>1760-4788</eissn><abstract>Objectives
To investigate risk factors of incident physical frailty.
Design
A population-based observational longitudinal study.
Setting
Community-dwelling elderly with age 55 years and above recruited from 2009 through 2011 in the second wave Singapore Longitudinal Ageing Study-2 (SLAS-2) were followed up 3–5 years later.
Participants
A total of 1297 participants, mean age of 65.6 ±0.19, who were free of physical frailty.
Measurements
Incident frailty defined by three or more criteria of the physical phenotype used in the Cardiovascular Health Study was determined at follow-up. Potential risk factors assessed at baseline included demographic, socioeconomic, medical, psychological factors, and biochemical markers.
Results
A total of 204 (15.7%) participants, including 81 (10.87%) of the robust and 123 (22.28%) of the prefrail transited to frailty at follow-up. Age, no education, MMSE score, diabetes, prediabetes and diabetes, arthritis, ≥5 medications, fair and poor self-rated health, moderate to high nutritional risk (NSI ≥3), Hb (g/dL), CRP (mg/L), low B12, low folate, albumin (g/L), low total cholesterol, adjusted for sex, age and education, were significantly associated (p<0.05) with incident frailty. In stepwise selection models, age (year) (OR=1.07, 95%CI=1.03–1.10, p<0.001), albumin (g/L) (OR=0.85, 95%CI=0.77–0.94, p=0.002), MMSE score (OR=0.88, 95%CI=0.78–0.98, p=0.02), low folate (OR=3.72, 95%CI=1.17–11.86, p=0.03, and previous hospitalization (OR=2.26, 95%CI=1.01–5.04,p=0.05) were significantly associated with incident frailty.
Conclusions
The study revealed multiple modifiable risk factors, especially related to poor nutrition, for which preventive measures and early management could potentially halt or delay the development of frailty.</abstract><cop>Paris</cop><pub>Springer Paris</pub><pmid>31886815</pmid><doi>10.1007/s12603-019-1277-8</doi><tpages>9</tpages><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 1279-7707 |
| ispartof | The Journal of nutrition, health & aging, 2020, Vol.24 (1), p.98-106 |
| issn | 1279-7707 1760-4788 |
| language | eng |
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| source | MEDLINE; SpringerNature Journals; Alma/SFX Local Collection |
| subjects | Age Aged Aged, 80 and over Aging Aging - physiology Diabetes Disease Progression Female Frail Elderly - statistics & numerical data Frailty Frailty - physiopathology Geriatric Assessment Geriatrics/Gerontology Humans Independent Living Longitudinal Studies Male Medicine Medicine & Public Health Neurosciences Nutrition Nutrition Assessment Nutritional Status - physiology Physical Examination Primary Care Medicine Quality of Life Research Risk Factors Singapore Socioeconomic Factors |
| title | Risk Factors of Progression to Frailty: Findings from the Singapore Longitudinal Ageing Study |
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