Home > Publications database > Grip strength values and cut-off points based on over 200,000 adults of the German National Cohort - a comparison to the EWGSOP2 cut-off points. > print |
001 | 212515 | ||
005 | 20240229154913.0 | ||
024 | 7 | _ | |a 10.1093/ageing/afac324 |2 doi |
024 | 7 | _ | |a pmid:36702514 |2 pmid |
024 | 7 | _ | |a 0002-0729 |2 ISSN |
024 | 7 | _ | |a 1468-2834 |2 ISSN |
024 | 7 | _ | |a altmetric:142141611 |2 altmetric |
037 | _ | _ | |a DKFZ-2023-00200 |
041 | _ | _ | |a English |
082 | _ | _ | |a 610 |
100 | 1 | _ | |a Huemer, Marie-Theres |b 0 |
245 | _ | _ | |a Grip strength values and cut-off points based on over 200,000 adults of the German National Cohort - a comparison to the EWGSOP2 cut-off points. |
260 | _ | _ | |a Oxford |c 2023 |b Oxford Univ. Press |
336 | 7 | _ | |a article |2 DRIVER |
336 | 7 | _ | |a Output Types/Journal article |2 DataCite |
336 | 7 | _ | |a Journal Article |b journal |m journal |0 PUB:(DE-HGF)16 |s 1675070724_31442 |2 PUB:(DE-HGF) |
336 | 7 | _ | |a ARTICLE |2 BibTeX |
336 | 7 | _ | |a JOURNAL_ARTICLE |2 ORCID |
336 | 7 | _ | |a Journal Article |0 0 |2 EndNote |
520 | _ | _ | |a The European Working Group on Sarcopenia in Older People (EWGSOP) updated in 2018 the cut-off points for low grip strength to assess sarcopenia based on pooled data from 12 British studies.Comparison of the EWGSOP2 cut-off points for low grip strength to those derived from a large German sample.We assessed the grip strength distribution across age and derived low grip strength cut-off points for men and women (peak mean -2.5 × SD) based on 200,389 German National Cohort (NAKO) participants aged 19-75 years. In 1,012 Cooperative Health Research in the Region of Augsburg (KORA)-Age participants aged 65-93 years, we calculated the age-standardised prevalence of low grip strength and time-dependent sensitivity and specificity for all-cause mortality.Grip strength increased in the third and fourth decade of life and declined afterwards. Calculated cut-off points for low grip strength were 29 kg for men and 18 kg for women. In KORA-Age, the age-standardised prevalence of low grip strength was 1.5× higher for NAKO-derived (17.7%) compared to EWGSOP2 (11.7%) cut-off points. NAKO-derived cut-off points yielded a higher sensitivity and lower specificity for all-cause mortality.Cut-off points for low grip strength from German population-based data were 2 kg higher than the EWGSOP2 cut-off points. Higher cut-off points increase the sensitivity, thereby suggesting an intervention for more patients at risk, while other individuals might receive additional diagnostics/treatment without the urgent need. Research on the effectiveness of intervention in patients with low grip strength defined by different cut-off points is needed. |
536 | _ | _ | |a 313 - Krebsrisikofaktoren und Prävention (POF4-313) |0 G:(DE-HGF)POF4-313 |c POF4-313 |f POF IV |x 0 |
588 | _ | _ | |a Dataset connected to CrossRef, PubMed, , Journals: inrepo02.dkfz.de |
650 | _ | 7 | |a European Working Group on Sarcopenia in Older People (EWGSOP) |2 Other |
650 | _ | 7 | |a cut-off points |2 Other |
650 | _ | 7 | |a grip strength |2 Other |
650 | _ | 7 | |a mortality |2 Other |
650 | _ | 7 | |a probable sarcopenia |2 Other |
700 | 1 | _ | |a Kluttig, Alexander |b 1 |
700 | 1 | _ | |a Fischer, Beate |b 2 |
700 | 1 | _ | |a Ahrens, Wolfgang |b 3 |
700 | 1 | _ | |a Castell, Stefanie |b 4 |
700 | 1 | _ | |a Ebert, Nina |b 5 |
700 | 1 | _ | |a Gastell, Sylvia |b 6 |
700 | 1 | _ | |a Jöckel, Karl-Heinz |b 7 |
700 | 1 | _ | |a Kaaks, Rudolf |0 P:(DE-He78)4b2dc91c9d1ac33a1c0e0777d0c1697a |b 8 |u dkfz |
700 | 1 | _ | |a Karch, André |b 9 |
700 | 1 | _ | |a Keil, Thomas |b 10 |
700 | 1 | _ | |a Kemmling, Yvonne |b 11 |
700 | 1 | _ | |a Krist, Lilian |b 12 |
700 | 1 | _ | |a Leitzmann, Michael |b 13 |
700 | 1 | _ | |a Lieb, Wolfgang |b 14 |
700 | 1 | _ | |a Meinke-Franze, Claudia |b 15 |
700 | 1 | _ | |a Michels, Karin B |b 16 |
700 | 1 | _ | |a Mikolajczyk, Rafael |0 0000-0002-3125-7859 |b 17 |
700 | 1 | _ | |a Moreno Velásquez, Ilais |b 18 |
700 | 1 | _ | |a Pischon, Tobias |b 19 |
700 | 1 | _ | |a Schipf, Sabine |b 20 |
700 | 1 | _ | |a Schmidt, Börge |b 21 |
700 | 1 | _ | |a Schöttker, Ben |0 P:(DE-He78)c67a12496b8aac150c0eef888d808d46 |b 22 |u dkfz |
700 | 1 | _ | |a Schulze, Matthias B |b 23 |
700 | 1 | _ | |a Stocker, Hannah |0 P:(DE-He78)104fae0755c89365b7ae32238b3f1f52 |b 24 |u dkfz |
700 | 1 | _ | |a Teismann, Henning |b 25 |
700 | 1 | _ | |a Wirkner, Kerstin |b 26 |
700 | 1 | _ | |a Drey, Michael |b 27 |
700 | 1 | _ | |a Peters, Annette |b 28 |
700 | 1 | _ | |a Thorand, Barbara |0 0000-0002-5667-6849 |b 29 |
773 | _ | _ | |a 10.1093/ageing/afac324 |g Vol. 52, no. 1, p. afac324 |0 PERI:(DE-600)2065766-3 |n 1 |p afac324 |t Age & ageing |v 52 |y 2023 |x 0002-0729 |
909 | C | O | |o oai:inrepo02.dkfz.de:212515 |p VDB |
910 | 1 | _ | |a Deutsches Krebsforschungszentrum |0 I:(DE-588b)2036810-0 |k DKFZ |b 8 |6 P:(DE-He78)4b2dc91c9d1ac33a1c0e0777d0c1697a |
910 | 1 | _ | |a Deutsches Krebsforschungszentrum |0 I:(DE-588b)2036810-0 |k DKFZ |b 22 |6 P:(DE-He78)c67a12496b8aac150c0eef888d808d46 |
910 | 1 | _ | |a Deutsches Krebsforschungszentrum |0 I:(DE-588b)2036810-0 |k DKFZ |b 24 |6 P:(DE-He78)104fae0755c89365b7ae32238b3f1f52 |
913 | 1 | _ | |a DE-HGF |b Gesundheit |l Krebsforschung |1 G:(DE-HGF)POF4-310 |0 G:(DE-HGF)POF4-313 |3 G:(DE-HGF)POF4 |2 G:(DE-HGF)POF4-300 |4 G:(DE-HGF)POF |v Krebsrisikofaktoren und Prävention |x 0 |
914 | 1 | _ | |y 2023 |
915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)1190 |2 StatID |b Biological Abstracts |d 2022-11-08 |
915 | _ | _ | |a WoS |0 StatID:(DE-HGF)0113 |2 StatID |b Science Citation Index Expanded |d 2022-11-08 |
915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0160 |2 StatID |b Essential Science Indicators |d 2022-11-08 |
915 | _ | _ | |a Nationallizenz |0 StatID:(DE-HGF)0420 |2 StatID |d 2023-10-24 |w ger |
915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0200 |2 StatID |b SCOPUS |d 2023-10-24 |
915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0300 |2 StatID |b Medline |d 2023-10-24 |
915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0320 |2 StatID |b PubMed Central |d 2023-10-24 |
915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0199 |2 StatID |b Clarivate Analytics Master Journal List |d 2023-10-24 |
915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)1050 |2 StatID |b BIOSIS Previews |d 2023-10-24 |
915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0150 |2 StatID |b Web of Science Core Collection |d 2023-10-24 |
915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)1110 |2 StatID |b Current Contents - Clinical Medicine |d 2023-10-24 |
915 | _ | _ | |a JCR |0 StatID:(DE-HGF)0100 |2 StatID |b AGE AGEING : 2022 |d 2023-10-24 |
915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0600 |2 StatID |b Ebsco Academic Search |d 2023-10-24 |
915 | _ | _ | |a Peer Review |0 StatID:(DE-HGF)0030 |2 StatID |b ASC |d 2023-10-24 |
915 | _ | _ | |a IF >= 5 |0 StatID:(DE-HGF)9905 |2 StatID |b AGE AGEING : 2022 |d 2023-10-24 |
920 | 1 | _ | |0 I:(DE-He78)C020-20160331 |k C020 |l C020 Epidemiologie von Krebs |x 0 |
920 | 1 | _ | |0 I:(DE-He78)C070-20160331 |k C070 |l C070 Klinische Epidemiologie und Alternf. |x 1 |
980 | _ | _ | |a journal |
980 | _ | _ | |a VDB |
980 | _ | _ | |a I:(DE-He78)C020-20160331 |
980 | _ | _ | |a I:(DE-He78)C070-20160331 |
980 | _ | _ | |a UNRESTRICTED |
Library | Collection | CLSMajor | CLSMinor | Language | Author |
---|