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Pre-frailty, frailty, and multimorbidity: Prevalences and associated characteristics from two French national surveys
Objective To estimate the prevalence of pre-frailty, frailty and multimorbidity in individuals without disability in France. To describe independent determinants of each indicators. Design Two nationally representative cross-sectional French surveys. Settings Wave 2012 of the Health, Health Care and...
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Published in: | The Journal of nutrition, health & aging health & aging, 2016-10, Vol.20 (8), p.860-869 |
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creator | Le Cossec, C. Perrine, A.-L. Beltzer, N. Fuhrman, C. Carcaillon-Bentata, Laure |
description | Objective
To estimate the prevalence of pre-frailty, frailty and multimorbidity in individuals without disability in France. To describe independent determinants of each indicators.
Design
Two nationally representative cross-sectional French surveys.
Settings
Wave 2012 of the Health, Health Care and Insurance Survey (Enquête Santé et Protection Sociale, ESPS) and data from the Disability Healthcare Household section Survey (Enquête Handicap Santé–Ménages, HSM) from 2008.
Participants
Two representative samples of the French population aged 55 and older (n=4,328 and n=12,295).
Measurements
Frailty was assessed using Fried’s frailty phenotype and multimorbidity was defined as having had at least two groups of the following groups of comorbidities in the last 12 months (cardio or cerebrovascular disease, diabetes, chronic respiratory disease, arthralgia, depression). Independent determinants were studied using weighted logistic regressions.
Results
In the French population over 55 and free of disability, 55 to 62% of individuals were either frail, pre-frail or multimorbid, 22 to 25% being frail or multimorbid. ESPS and HSM prevalences for frailty (11.1% [9.3%-12.1%] and 12.3% [11.5%-13.0%]) and multimorbidity (14.9% [13.6%-16.2%] and 16.8% [15.9%-17.7%]) were consistent across studies. Both frailty and multimorbidity prevalences were associated with age. On the other hand, pre-frailty prevalence varied consistently between studies (from 38 to 48%) and was not significantly associated with age. We found that more than 60% of frail subjects did not present with multimorbidity and around 70% of subjects with multimorbidity were not frail. Determinants of pre-frailty and multimorbidity but not frailty depended on sex. Similar factors were associated with frailty and multimorbidity in women (older age, functional decline, poor mental health, financial difficulties) while only poor mental health was independently associated with both indicators in men.
Conclusion
Our study highlights that in France, among individuals older than 55 years-old and free of disability, around 25% are either frail or multimorbid; another 30% to 40% being pre-frail. Pre-frailty, frailty and multimorbidity are known to be associated with adverse health outcomes and important economic costs. The health system must adapt to respond to the needs of its aging population. In addition, given the efficient impact of prevention actions, our findings emphasize the need to implement prevention strat |
doi_str_mv | 10.1007/s12603-016-0802-2 |
format | article |
fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_1835375215</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>1835375215</sourcerecordid><originalsourceid>FETCH-LOGICAL-c438t-b9b004bf470eca842dd569d0972e87bd6bb8c3e0ebf1f831dc1db6824362fde53</originalsourceid><addsrcrecordid>eNp1kc1rFjEQh4Mo9kP_AC-y4MVDo5NkN8l6k2JVKOhBzyEfszZld1OTbOX9783btxYRPGXIPPObgYeQFwzeMAD1tjAuQVBgkoIGTvkjcsyUBNorrR-3mquRKgXqiJyUcg3QD6OWT8kRb58jF_KYbF8z0inbONfdWfdQ2DV0yzbXuKTsYoh1965r5K2dcfVY7vq2lOSjrRg6f2Wz9RVzLDX60nLS0tVfqbvIjb_qVltjWu3clS3f4q48I08mOxd8fv-eku8XH76df6KXXz5-Pn9_SX0vdKVudO1mN_UK0Fvd8xAGOQYYFUetXJDOaS8Q0E1s0oIFz4KTmvdC8ingIE7J60PuTU4_NyzVLLF4nGe7YtqKYVoMQg2c7dFX_6DXacvt5jsKJJMSZKPYgfI5lZJxMjc5LjbvDAOzd2IOTkxzYvZODG8zL--TN7dgeJj4I6EB_ACU1lp_YP5r9X9TfwNLlpjl</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1830616606</pqid></control><display><type>article</type><title>Pre-frailty, frailty, and multimorbidity: Prevalences and associated characteristics from two French national surveys</title><source>Springer Nature</source><creator>Le Cossec, C. ; Perrine, A.-L. ; Beltzer, N. ; Fuhrman, C. ; Carcaillon-Bentata, Laure</creator><creatorcontrib>Le Cossec, C. ; Perrine, A.-L. ; Beltzer, N. ; Fuhrman, C. ; Carcaillon-Bentata, Laure</creatorcontrib><description>Objective
To estimate the prevalence of pre-frailty, frailty and multimorbidity in individuals without disability in France. To describe independent determinants of each indicators.
Design
Two nationally representative cross-sectional French surveys.
Settings
Wave 2012 of the Health, Health Care and Insurance Survey (Enquête Santé et Protection Sociale, ESPS) and data from the Disability Healthcare Household section Survey (Enquête Handicap Santé–Ménages, HSM) from 2008.
Participants
Two representative samples of the French population aged 55 and older (n=4,328 and n=12,295).
Measurements
Frailty was assessed using Fried’s frailty phenotype and multimorbidity was defined as having had at least two groups of the following groups of comorbidities in the last 12 months (cardio or cerebrovascular disease, diabetes, chronic respiratory disease, arthralgia, depression). Independent determinants were studied using weighted logistic regressions.
Results
In the French population over 55 and free of disability, 55 to 62% of individuals were either frail, pre-frail or multimorbid, 22 to 25% being frail or multimorbid. ESPS and HSM prevalences for frailty (11.1% [9.3%-12.1%] and 12.3% [11.5%-13.0%]) and multimorbidity (14.9% [13.6%-16.2%] and 16.8% [15.9%-17.7%]) were consistent across studies. Both frailty and multimorbidity prevalences were associated with age. On the other hand, pre-frailty prevalence varied consistently between studies (from 38 to 48%) and was not significantly associated with age. We found that more than 60% of frail subjects did not present with multimorbidity and around 70% of subjects with multimorbidity were not frail. Determinants of pre-frailty and multimorbidity but not frailty depended on sex. Similar factors were associated with frailty and multimorbidity in women (older age, functional decline, poor mental health, financial difficulties) while only poor mental health was independently associated with both indicators in men.
Conclusion
Our study highlights that in France, among individuals older than 55 years-old and free of disability, around 25% are either frail or multimorbid; another 30% to 40% being pre-frail. Pre-frailty, frailty and multimorbidity are known to be associated with adverse health outcomes and important economic costs. The health system must adapt to respond to the needs of its aging population. In addition, given the efficient impact of prevention actions, our findings emphasize the need to implement prevention strategies against Frailty and multimorbidity in France.</description><identifier>ISSN: 1279-7707</identifier><identifier>EISSN: 1760-4788</identifier><identifier>DOI: 10.1007/s12603-016-0802-2</identifier><identifier>PMID: 27709236</identifier><language>eng</language><publisher>Paris: Springer Paris</publisher><subject>Aged ; Aging ; Chronic illnesses ; Comorbidity ; Cross-Sectional Studies ; Disability ; Disease prevention ; Female ; Frail Elderly - psychology ; Frailty ; France ; Geriatrics/Gerontology ; Health care ; Households ; Humans ; Male ; Medicine ; Medicine & Public Health ; Mental health ; Neurosciences ; Nutrition ; Polls & surveys ; Prevalence ; Prevention ; Primary Care Medicine ; Public health ; Quality of Life Research ; Questionnaires ; Respiratory diseases ; Surveys and Questionnaires</subject><ispartof>The Journal of nutrition, health & aging, 2016-10, Vol.20 (8), p.860-869</ispartof><rights>Serdi and Springer-Verlag France 2016</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c438t-b9b004bf470eca842dd569d0972e87bd6bb8c3e0ebf1f831dc1db6824362fde53</citedby><cites>FETCH-LOGICAL-c438t-b9b004bf470eca842dd569d0972e87bd6bb8c3e0ebf1f831dc1db6824362fde53</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/27709236$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Le Cossec, C.</creatorcontrib><creatorcontrib>Perrine, A.-L.</creatorcontrib><creatorcontrib>Beltzer, N.</creatorcontrib><creatorcontrib>Fuhrman, C.</creatorcontrib><creatorcontrib>Carcaillon-Bentata, Laure</creatorcontrib><title>Pre-frailty, frailty, and multimorbidity: Prevalences and associated characteristics from two French national surveys</title><title>The Journal of nutrition, health & aging</title><addtitle>J Nutr Health Aging</addtitle><addtitle>J Nutr Health Aging</addtitle><description>Objective
To estimate the prevalence of pre-frailty, frailty and multimorbidity in individuals without disability in France. To describe independent determinants of each indicators.
Design
Two nationally representative cross-sectional French surveys.
Settings
Wave 2012 of the Health, Health Care and Insurance Survey (Enquête Santé et Protection Sociale, ESPS) and data from the Disability Healthcare Household section Survey (Enquête Handicap Santé–Ménages, HSM) from 2008.
Participants
Two representative samples of the French population aged 55 and older (n=4,328 and n=12,295).
Measurements
Frailty was assessed using Fried’s frailty phenotype and multimorbidity was defined as having had at least two groups of the following groups of comorbidities in the last 12 months (cardio or cerebrovascular disease, diabetes, chronic respiratory disease, arthralgia, depression). Independent determinants were studied using weighted logistic regressions.
Results
In the French population over 55 and free of disability, 55 to 62% of individuals were either frail, pre-frail or multimorbid, 22 to 25% being frail or multimorbid. ESPS and HSM prevalences for frailty (11.1% [9.3%-12.1%] and 12.3% [11.5%-13.0%]) and multimorbidity (14.9% [13.6%-16.2%] and 16.8% [15.9%-17.7%]) were consistent across studies. Both frailty and multimorbidity prevalences were associated with age. On the other hand, pre-frailty prevalence varied consistently between studies (from 38 to 48%) and was not significantly associated with age. We found that more than 60% of frail subjects did not present with multimorbidity and around 70% of subjects with multimorbidity were not frail. Determinants of pre-frailty and multimorbidity but not frailty depended on sex. Similar factors were associated with frailty and multimorbidity in women (older age, functional decline, poor mental health, financial difficulties) while only poor mental health was independently associated with both indicators in men.
Conclusion
Our study highlights that in France, among individuals older than 55 years-old and free of disability, around 25% are either frail or multimorbid; another 30% to 40% being pre-frail. Pre-frailty, frailty and multimorbidity are known to be associated with adverse health outcomes and important economic costs. The health system must adapt to respond to the needs of its aging population. In addition, given the efficient impact of prevention actions, our findings emphasize the need to implement prevention strategies against Frailty and multimorbidity in France.</description><subject>Aged</subject><subject>Aging</subject><subject>Chronic illnesses</subject><subject>Comorbidity</subject><subject>Cross-Sectional Studies</subject><subject>Disability</subject><subject>Disease prevention</subject><subject>Female</subject><subject>Frail Elderly - psychology</subject><subject>Frailty</subject><subject>France</subject><subject>Geriatrics/Gerontology</subject><subject>Health care</subject><subject>Households</subject><subject>Humans</subject><subject>Male</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Mental health</subject><subject>Neurosciences</subject><subject>Nutrition</subject><subject>Polls & surveys</subject><subject>Prevalence</subject><subject>Prevention</subject><subject>Primary Care Medicine</subject><subject>Public health</subject><subject>Quality of Life Research</subject><subject>Questionnaires</subject><subject>Respiratory diseases</subject><subject>Surveys and Questionnaires</subject><issn>1279-7707</issn><issn>1760-4788</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2016</creationdate><recordtype>article</recordtype><recordid>eNp1kc1rFjEQh4Mo9kP_AC-y4MVDo5NkN8l6k2JVKOhBzyEfszZld1OTbOX9783btxYRPGXIPPObgYeQFwzeMAD1tjAuQVBgkoIGTvkjcsyUBNorrR-3mquRKgXqiJyUcg3QD6OWT8kRb58jF_KYbF8z0inbONfdWfdQ2DV0yzbXuKTsYoh1965r5K2dcfVY7vq2lOSjrRg6f2Wz9RVzLDX60nLS0tVfqbvIjb_qVltjWu3clS3f4q48I08mOxd8fv-eku8XH76df6KXXz5-Pn9_SX0vdKVudO1mN_UK0Fvd8xAGOQYYFUetXJDOaS8Q0E1s0oIFz4KTmvdC8ingIE7J60PuTU4_NyzVLLF4nGe7YtqKYVoMQg2c7dFX_6DXacvt5jsKJJMSZKPYgfI5lZJxMjc5LjbvDAOzd2IOTkxzYvZODG8zL--TN7dgeJj4I6EB_ACU1lp_YP5r9X9TfwNLlpjl</recordid><startdate>20161001</startdate><enddate>20161001</enddate><creator>Le Cossec, C.</creator><creator>Perrine, A.-L.</creator><creator>Beltzer, N.</creator><creator>Fuhrman, C.</creator><creator>Carcaillon-Bentata, Laure</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>20161001</creationdate><title>Pre-frailty, frailty, and multimorbidity: Prevalences and associated characteristics from two French national surveys</title><author>Le Cossec, C. ; Perrine, A.-L. ; Beltzer, N. ; Fuhrman, C. ; Carcaillon-Bentata, Laure</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c438t-b9b004bf470eca842dd569d0972e87bd6bb8c3e0ebf1f831dc1db6824362fde53</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2016</creationdate><topic>Aged</topic><topic>Aging</topic><topic>Chronic illnesses</topic><topic>Comorbidity</topic><topic>Cross-Sectional Studies</topic><topic>Disability</topic><topic>Disease prevention</topic><topic>Female</topic><topic>Frail Elderly - psychology</topic><topic>Frailty</topic><topic>France</topic><topic>Geriatrics/Gerontology</topic><topic>Health care</topic><topic>Households</topic><topic>Humans</topic><topic>Male</topic><topic>Medicine</topic><topic>Medicine & Public Health</topic><topic>Mental health</topic><topic>Neurosciences</topic><topic>Nutrition</topic><topic>Polls & surveys</topic><topic>Prevalence</topic><topic>Prevention</topic><topic>Primary Care Medicine</topic><topic>Public health</topic><topic>Quality of Life Research</topic><topic>Questionnaires</topic><topic>Respiratory diseases</topic><topic>Surveys and Questionnaires</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Le Cossec, C.</creatorcontrib><creatorcontrib>Perrine, A.-L.</creatorcontrib><creatorcontrib>Beltzer, N.</creatorcontrib><creatorcontrib>Fuhrman, C.</creatorcontrib><creatorcontrib>Carcaillon-Bentata, Laure</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)</collection><collection>ProQuest Central</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>PML(ProQuest Medical Library)</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>Le Cossec, C.</au><au>Perrine, A.-L.</au><au>Beltzer, N.</au><au>Fuhrman, C.</au><au>Carcaillon-Bentata, Laure</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Pre-frailty, frailty, and multimorbidity: Prevalences and associated characteristics from two French national surveys</atitle><jtitle>The Journal of nutrition, health & aging</jtitle><stitle>J Nutr Health Aging</stitle><addtitle>J Nutr Health Aging</addtitle><date>2016-10-01</date><risdate>2016</risdate><volume>20</volume><issue>8</issue><spage>860</spage><epage>869</epage><pages>860-869</pages><issn>1279-7707</issn><eissn>1760-4788</eissn><abstract>Objective
To estimate the prevalence of pre-frailty, frailty and multimorbidity in individuals without disability in France. To describe independent determinants of each indicators.
Design
Two nationally representative cross-sectional French surveys.
Settings
Wave 2012 of the Health, Health Care and Insurance Survey (Enquête Santé et Protection Sociale, ESPS) and data from the Disability Healthcare Household section Survey (Enquête Handicap Santé–Ménages, HSM) from 2008.
Participants
Two representative samples of the French population aged 55 and older (n=4,328 and n=12,295).
Measurements
Frailty was assessed using Fried’s frailty phenotype and multimorbidity was defined as having had at least two groups of the following groups of comorbidities in the last 12 months (cardio or cerebrovascular disease, diabetes, chronic respiratory disease, arthralgia, depression). Independent determinants were studied using weighted logistic regressions.
Results
In the French population over 55 and free of disability, 55 to 62% of individuals were either frail, pre-frail or multimorbid, 22 to 25% being frail or multimorbid. ESPS and HSM prevalences for frailty (11.1% [9.3%-12.1%] and 12.3% [11.5%-13.0%]) and multimorbidity (14.9% [13.6%-16.2%] and 16.8% [15.9%-17.7%]) were consistent across studies. Both frailty and multimorbidity prevalences were associated with age. On the other hand, pre-frailty prevalence varied consistently between studies (from 38 to 48%) and was not significantly associated with age. We found that more than 60% of frail subjects did not present with multimorbidity and around 70% of subjects with multimorbidity were not frail. Determinants of pre-frailty and multimorbidity but not frailty depended on sex. Similar factors were associated with frailty and multimorbidity in women (older age, functional decline, poor mental health, financial difficulties) while only poor mental health was independently associated with both indicators in men.
Conclusion
Our study highlights that in France, among individuals older than 55 years-old and free of disability, around 25% are either frail or multimorbid; another 30% to 40% being pre-frail. Pre-frailty, frailty and multimorbidity are known to be associated with adverse health outcomes and important economic costs. The health system must adapt to respond to the needs of its aging population. In addition, given the efficient impact of prevention actions, our findings emphasize the need to implement prevention strategies against Frailty and multimorbidity in France.</abstract><cop>Paris</cop><pub>Springer Paris</pub><pmid>27709236</pmid><doi>10.1007/s12603-016-0802-2</doi><tpages>10</tpages></addata></record> |
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subjects | Aged Aging Chronic illnesses Comorbidity Cross-Sectional Studies Disability Disease prevention Female Frail Elderly - psychology Frailty France Geriatrics/Gerontology Health care Households Humans Male Medicine Medicine & Public Health Mental health Neurosciences Nutrition Polls & surveys Prevalence Prevention Primary Care Medicine Public health Quality of Life Research Questionnaires Respiratory diseases Surveys and Questionnaires |
title | Pre-frailty, frailty, and multimorbidity: Prevalences and associated characteristics from two French national surveys |
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