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Sarcopenia and sarcopenic obesity in comparison: prevalence, metabolic profile, and key differences. A cross-sectional study in Italian hospitalized elderly
Background The aim of this study is to identify the prevalence, assess the metabolic profile, and key differences (versus healthy) in a cohort of subjects with sarcopenia (S) and in sarcopenic obesity (SO) hospitalized elderly. Methods A standardized comprehensive geriatric assessment was performed....
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Published in: | Aging clinical and experimental research 2017-12, Vol.29 (6), p.1249-1258 |
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description | Background
The aim of this study is to identify the prevalence, assess the metabolic profile, and key differences (versus healthy) in a cohort of subjects with sarcopenia (S) and in sarcopenic obesity (SO) hospitalized elderly.
Methods
A standardized comprehensive geriatric assessment was performed. We enrolled 639 elderly subjects (196 men, 443 women) with a mean age of 80.90 ± 7.77 years. Analysis of variance and a multinomial logistic regression analysis adjusting for covariates were used to assess the differences between groups.
Results
The prevalence of (S) was 12.42% in women and 23.47% in men. (SO) was 8.13% in women and 22.45% in men. Data showed that either groups had a functional impairment (Barthel index 15 mm/h), CPR (>0.50 mg/dl) homocysteine (>12 micromol/l), and hemoglobin (145 mcg/dl) was detected in either cohort (due to inflammation). (SO) had glycemia (>110 mg/dl). Key differences in (S) cohort (versus healthy) were a reduction in functional impairment (
p
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doi_str_mv | 10.1007/s40520-016-0701-8 |
format | article |
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The aim of this study is to identify the prevalence, assess the metabolic profile, and key differences (versus healthy) in a cohort of subjects with sarcopenia (S) and in sarcopenic obesity (SO) hospitalized elderly.
Methods
A standardized comprehensive geriatric assessment was performed. We enrolled 639 elderly subjects (196 men, 443 women) with a mean age of 80.90 ± 7.77 years. Analysis of variance and a multinomial logistic regression analysis adjusting for covariates were used to assess the differences between groups.
Results
The prevalence of (S) was 12.42% in women and 23.47% in men. (SO) was 8.13% in women and 22.45% in men. Data showed that either groups had a functional impairment (Barthel index < 50 points). (S) had the mean value of erythrocyte sedimentation rate (ESR) (>15 mm/h), CPR (>0.50 mg/dl) homocysteine (>12 micromol/l), and hemoglobin (<12 g/dl). Ferritin level over the range (>145 mcg/dl) was detected in either cohort (due to inflammation). (SO) had glycemia (>110 mg/dl). Key differences in (S) cohort (versus healthy) were a reduction in functional impairment (
p
< 0.001), an increase in white blood cell (
p
< 0.01), a decrease in iron level (
p
< 0.05), in electrolytes balance (Na:
p
< 0.01 and Cl:
p
< 0.01), and tyroid function (TSH:
p
< 0.001). In addition, (S) had higher state of inflammation (erythrocyte sedimentation rate:
p
< 0.05 and C-reactive protein:
p
< 0.01), and an increase of risk of fractures (FRAX: OR 1.07;
p
< 0.001), risk of malnutrition (mini nutritional assessment:
p
< 0.001), and risk of edema (extra cellular water:
p
< 0.001). In (SO) cohort, an increase in white blood cell (
p
< 0.001) and erythrocyte sedimentation rate (
p
< 0.05) was observed.
Conclusions
(S) subjects appears more vulnerable than (SO). Sarcopenia is closely linked to an increase in the risk of hip–femur fractures, inflammation, edema, and malnutrition. The (SO) subjects seem to benefit from the “obesity paradox.”]]></description><identifier>ISSN: 1720-8319</identifier><identifier>ISSN: 1594-0667</identifier><identifier>EISSN: 1720-8319</identifier><identifier>DOI: 10.1007/s40520-016-0701-8</identifier><identifier>PMID: 28233283</identifier><language>eng</language><publisher>Cham: Springer International Publishing</publisher><subject>Aged ; Aged, 80 and over ; Analysis of Variance ; Biomarkers - blood ; Case-Control Studies ; Cross-Sectional Studies ; Edema ; Female ; Fractures ; Geriatric Assessment ; Geriatrics/Gerontology ; Humans ; Inflammation ; Male ; Malnutrition ; Medicine ; Medicine & Public Health ; Metabolism ; Metabolome ; Nutritional Status - physiology ; Obesity ; Obesity - epidemiology ; Obesity - physiopathology ; Original Article ; Osteoporosis ; Prevalence ; Risk Factors ; Sarcopenia ; Sarcopenia - blood ; Sarcopenia - epidemiology ; Sarcopenia - physiopathology</subject><ispartof>Aging clinical and experimental research, 2017-12, Vol.29 (6), p.1249-1258</ispartof><rights>Springer International Publishing Switzerland 2017</rights><rights>Aging Clinical and Experimental Research is a copyright of Springer, (2017). All Rights Reserved.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c372t-e91a187d23a1d3ad1bd10fdac499c21a40a2fcff0e78bd386bccd52ea9722def3</citedby><cites>FETCH-LOGICAL-c372t-e91a187d23a1d3ad1bd10fdac499c21a40a2fcff0e78bd386bccd52ea9722def3</cites><orcidid>0000-0002-2720-1473</orcidid></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/28233283$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Perna, Simone</creatorcontrib><creatorcontrib>Peroni, Gabriella</creatorcontrib><creatorcontrib>Faliva, Milena Anna</creatorcontrib><creatorcontrib>Bartolo, Arianna</creatorcontrib><creatorcontrib>Naso, Maurizio</creatorcontrib><creatorcontrib>Miccono, Alessandra</creatorcontrib><creatorcontrib>Rondanelli, Mariangela</creatorcontrib><title>Sarcopenia and sarcopenic obesity in comparison: prevalence, metabolic profile, and key differences. A cross-sectional study in Italian hospitalized elderly</title><title>Aging clinical and experimental research</title><addtitle>Aging Clin Exp Res</addtitle><addtitle>Aging Clin Exp Res</addtitle><description><![CDATA[Background
The aim of this study is to identify the prevalence, assess the metabolic profile, and key differences (versus healthy) in a cohort of subjects with sarcopenia (S) and in sarcopenic obesity (SO) hospitalized elderly.
Methods
A standardized comprehensive geriatric assessment was performed. We enrolled 639 elderly subjects (196 men, 443 women) with a mean age of 80.90 ± 7.77 years. Analysis of variance and a multinomial logistic regression analysis adjusting for covariates were used to assess the differences between groups.
Results
The prevalence of (S) was 12.42% in women and 23.47% in men. (SO) was 8.13% in women and 22.45% in men. Data showed that either groups had a functional impairment (Barthel index < 50 points). (S) had the mean value of erythrocyte sedimentation rate (ESR) (>15 mm/h), CPR (>0.50 mg/dl) homocysteine (>12 micromol/l), and hemoglobin (<12 g/dl). Ferritin level over the range (>145 mcg/dl) was detected in either cohort (due to inflammation). (SO) had glycemia (>110 mg/dl). Key differences in (S) cohort (versus healthy) were a reduction in functional impairment (
p
< 0.001), an increase in white blood cell (
p
< 0.01), a decrease in iron level (
p
< 0.05), in electrolytes balance (Na:
p
< 0.01 and Cl:
p
< 0.01), and tyroid function (TSH:
p
< 0.001). In addition, (S) had higher state of inflammation (erythrocyte sedimentation rate:
p
< 0.05 and C-reactive protein:
p
< 0.01), and an increase of risk of fractures (FRAX: OR 1.07;
p
< 0.001), risk of malnutrition (mini nutritional assessment:
p
< 0.001), and risk of edema (extra cellular water:
p
< 0.001). In (SO) cohort, an increase in white blood cell (
p
< 0.001) and erythrocyte sedimentation rate (
p
< 0.05) was observed.
Conclusions
(S) subjects appears more vulnerable than (SO). Sarcopenia is closely linked to an increase in the risk of hip–femur fractures, inflammation, edema, and malnutrition. The (SO) subjects seem to benefit from the “obesity paradox.”]]></description><subject>Aged</subject><subject>Aged, 80 and over</subject><subject>Analysis of Variance</subject><subject>Biomarkers - blood</subject><subject>Case-Control Studies</subject><subject>Cross-Sectional Studies</subject><subject>Edema</subject><subject>Female</subject><subject>Fractures</subject><subject>Geriatric Assessment</subject><subject>Geriatrics/Gerontology</subject><subject>Humans</subject><subject>Inflammation</subject><subject>Male</subject><subject>Malnutrition</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Metabolism</subject><subject>Metabolome</subject><subject>Nutritional Status - physiology</subject><subject>Obesity</subject><subject>Obesity - epidemiology</subject><subject>Obesity - physiopathology</subject><subject>Original Article</subject><subject>Osteoporosis</subject><subject>Prevalence</subject><subject>Risk Factors</subject><subject>Sarcopenia</subject><subject>Sarcopenia - blood</subject><subject>Sarcopenia - epidemiology</subject><subject>Sarcopenia - physiopathology</subject><issn>1720-8319</issn><issn>1594-0667</issn><issn>1720-8319</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><recordid>eNp1kc1u1TAQhS1ERUvhAdggS2xYkOKf3GuHXVXxU6lSF4W1NbHH4OLEwU4qXZ6Fh8XpbaFCYuWZ8TdndHQIecHZCWdMvS0t2wjWML5tmGK80Y_IEVd1oiXvHj-oD8nTUq4Za3ltnpBDoYWUQssj8usKsk0TjgEojI6W-9bS1GMJ846Gkdo0TJBDSeM7OmW8gYijxTd0wBn6FCs85eRDrKNV5DvuqAveY16xckJPqc2plKagnUMaIdIyL-5W-nyGGGCk31KZwlr_REcxOsxx94wceIgFn9-9x-TLh_efzz41F5cfz89OLxorlZgb7DhwrZyQwJ0Ex3vHmXdg266zgkPLQHjrPUOleyf1trfWbQRCp4Rw6OUxeb3XrS5-LFhmM4RiMUYYMS3FVHGxUbplqqKv_kGv05Kro2KEbDvO1ZZvKsX31K3tjN5MOQyQd4Yzs0Zn9tGZGp1ZozO67ry8U176Ad2fjfusKiD2QKlf41fMf0__X_U3YzuniA</recordid><startdate>20171201</startdate><enddate>20171201</enddate><creator>Perna, Simone</creator><creator>Peroni, Gabriella</creator><creator>Faliva, Milena Anna</creator><creator>Bartolo, Arianna</creator><creator>Naso, Maurizio</creator><creator>Miccono, Alessandra</creator><creator>Rondanelli, Mariangela</creator><general>Springer International Publishing</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>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>K9.</scope><scope>M0S</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0002-2720-1473</orcidid></search><sort><creationdate>20171201</creationdate><title>Sarcopenia and sarcopenic obesity in comparison: prevalence, metabolic profile, and key differences. A cross-sectional study in Italian hospitalized elderly</title><author>Perna, Simone ; Peroni, Gabriella ; Faliva, Milena Anna ; Bartolo, Arianna ; Naso, Maurizio ; Miccono, Alessandra ; Rondanelli, Mariangela</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c372t-e91a187d23a1d3ad1bd10fdac499c21a40a2fcff0e78bd386bccd52ea9722def3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>Aged</topic><topic>Aged, 80 and over</topic><topic>Analysis of Variance</topic><topic>Biomarkers - blood</topic><topic>Case-Control Studies</topic><topic>Cross-Sectional Studies</topic><topic>Edema</topic><topic>Female</topic><topic>Fractures</topic><topic>Geriatric Assessment</topic><topic>Geriatrics/Gerontology</topic><topic>Humans</topic><topic>Inflammation</topic><topic>Male</topic><topic>Malnutrition</topic><topic>Medicine</topic><topic>Medicine & Public Health</topic><topic>Metabolism</topic><topic>Metabolome</topic><topic>Nutritional Status - physiology</topic><topic>Obesity</topic><topic>Obesity - epidemiology</topic><topic>Obesity - physiopathology</topic><topic>Original Article</topic><topic>Osteoporosis</topic><topic>Prevalence</topic><topic>Risk Factors</topic><topic>Sarcopenia</topic><topic>Sarcopenia - blood</topic><topic>Sarcopenia - epidemiology</topic><topic>Sarcopenia - physiopathology</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Perna, Simone</creatorcontrib><creatorcontrib>Peroni, Gabriella</creatorcontrib><creatorcontrib>Faliva, Milena Anna</creatorcontrib><creatorcontrib>Bartolo, Arianna</creatorcontrib><creatorcontrib>Naso, Maurizio</creatorcontrib><creatorcontrib>Miccono, Alessandra</creatorcontrib><creatorcontrib>Rondanelli, Mariangela</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>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</collection><collection>ProQuest One Community College</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>MEDLINE - Academic</collection><jtitle>Aging clinical and experimental research</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Perna, Simone</au><au>Peroni, Gabriella</au><au>Faliva, Milena Anna</au><au>Bartolo, Arianna</au><au>Naso, Maurizio</au><au>Miccono, Alessandra</au><au>Rondanelli, Mariangela</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Sarcopenia and sarcopenic obesity in comparison: prevalence, metabolic profile, and key differences. A cross-sectional study in Italian hospitalized elderly</atitle><jtitle>Aging clinical and experimental research</jtitle><stitle>Aging Clin Exp Res</stitle><addtitle>Aging Clin Exp Res</addtitle><date>2017-12-01</date><risdate>2017</risdate><volume>29</volume><issue>6</issue><spage>1249</spage><epage>1258</epage><pages>1249-1258</pages><issn>1720-8319</issn><issn>1594-0667</issn><eissn>1720-8319</eissn><abstract><![CDATA[Background
The aim of this study is to identify the prevalence, assess the metabolic profile, and key differences (versus healthy) in a cohort of subjects with sarcopenia (S) and in sarcopenic obesity (SO) hospitalized elderly.
Methods
A standardized comprehensive geriatric assessment was performed. We enrolled 639 elderly subjects (196 men, 443 women) with a mean age of 80.90 ± 7.77 years. Analysis of variance and a multinomial logistic regression analysis adjusting for covariates were used to assess the differences between groups.
Results
The prevalence of (S) was 12.42% in women and 23.47% in men. (SO) was 8.13% in women and 22.45% in men. Data showed that either groups had a functional impairment (Barthel index < 50 points). (S) had the mean value of erythrocyte sedimentation rate (ESR) (>15 mm/h), CPR (>0.50 mg/dl) homocysteine (>12 micromol/l), and hemoglobin (<12 g/dl). Ferritin level over the range (>145 mcg/dl) was detected in either cohort (due to inflammation). (SO) had glycemia (>110 mg/dl). Key differences in (S) cohort (versus healthy) were a reduction in functional impairment (
p
< 0.001), an increase in white blood cell (
p
< 0.01), a decrease in iron level (
p
< 0.05), in electrolytes balance (Na:
p
< 0.01 and Cl:
p
< 0.01), and tyroid function (TSH:
p
< 0.001). In addition, (S) had higher state of inflammation (erythrocyte sedimentation rate:
p
< 0.05 and C-reactive protein:
p
< 0.01), and an increase of risk of fractures (FRAX: OR 1.07;
p
< 0.001), risk of malnutrition (mini nutritional assessment:
p
< 0.001), and risk of edema (extra cellular water:
p
< 0.001). In (SO) cohort, an increase in white blood cell (
p
< 0.001) and erythrocyte sedimentation rate (
p
< 0.05) was observed.
Conclusions
(S) subjects appears more vulnerable than (SO). Sarcopenia is closely linked to an increase in the risk of hip–femur fractures, inflammation, edema, and malnutrition. The (SO) subjects seem to benefit from the “obesity paradox.”]]></abstract><cop>Cham</cop><pub>Springer International Publishing</pub><pmid>28233283</pmid><doi>10.1007/s40520-016-0701-8</doi><tpages>10</tpages><orcidid>https://orcid.org/0000-0002-2720-1473</orcidid></addata></record> |
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source | Springer Nature:Jisc Collections:Springer Nature Read and Publish 2023-2025: Springer Reading List |
subjects | Aged Aged, 80 and over Analysis of Variance Biomarkers - blood Case-Control Studies Cross-Sectional Studies Edema Female Fractures Geriatric Assessment Geriatrics/Gerontology Humans Inflammation Male Malnutrition Medicine Medicine & Public Health Metabolism Metabolome Nutritional Status - physiology Obesity Obesity - epidemiology Obesity - physiopathology Original Article Osteoporosis Prevalence Risk Factors Sarcopenia Sarcopenia - blood Sarcopenia - epidemiology Sarcopenia - physiopathology |
title | Sarcopenia and sarcopenic obesity in comparison: prevalence, metabolic profile, and key differences. A cross-sectional study in Italian hospitalized elderly |
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