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LIBRIS Formathandbok  (Information om MARC21)
FältnamnIndikatorerMetadata
00006278naa a2200577 4500
001oai:DiVA.org:umu-150785
003SwePub
008180820s2018 | |||||||||||000 ||eng|
009oai:DiVA.org:uu-358525
009oai:lup.lub.lu.se:73fff48a-5d92-44e9-858b-60a5d7714014
0247 a https://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-1507852 URI
0247 a https://doi.org/10.1371/journal.pone.01978302 DOI
0247 a https://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-3585252 URI
0247 a https://lup.lub.lu.se/record/73fff48a-5d92-44e9-858b-60a5d77140142 URI
040 a (SwePub)umud (SwePub)uud (SwePub)lu
041 a engb eng
042 9 SwePub
072 7a ref2 swepub-contenttype
072 7a art2 swepub-publicationtype
1001 a Van Hemelrijck, Miekeu Kings Coll London, Div Canc Studies Translat Oncol & Urol Res, London, England,King's College London4 aut
2451 0a Longitudinal study of body mass index, dyslipidemia, hyperglycemia, and hypertension in 60,000 men and women in Sweden and Austria
264 c 2018-06-13
264 1b Public Library Science,c 2018
338 a electronic2 rdacarrier
520 a Background: Obesity is suggested to underlie development of other metabolic aberrations, but longitudinal relationships between metabolic factors at various ages has not been studied in detail. Methods: Data from 27,379 men and 32,275 women with in total 122,940 health examinations in the Västerbotten Intervention Project, Sweden and the Vorarlberg Health Monitoring and Prevention Programme, Austria were used to investigate body mass index (BMI), mid-blood pressure, and fasting levels of glucose, triglycerides, and total cholesterol at baseline in relation to 10-year changes of these factors and weight. We included paired examinations performed 10 +/- 2 years apart and used them for longitudinal analysis with linear regression of changes between the ages 30 and 40, 40 and 50, or 50 and 60 years. Results: Higher levels of BMI were associated with increases in glucose and mid-blood pressure as well as triglycerides levels, and, to a lesser extent, decreases in cholesterol levels. For instance, per 5 kg/m(2) higher BMI at age 40, glucose at age 50 increased by 0.24 mmol/l (95%Cl:0.22-0.26) and mid-blood pressure increased by 1.54 mm Hg (95%Cl: 1.35-1.74). The strongest association observed was between BMI at age 30 and mid-blood pressure, which was 2.12 mm Hg (95% CI: 1.79-2.45) increase over ten years per 5 kg/m(2) higher BMI level. This association was observed at an age when blood pressure levels on average remained stable. Other associations than those with BMI at baseline were much weaker. However, triglyceride levels were associated with future glucose changes among individuals with elevated BMI, particularly in the two older age groups. Conclusion: BMI was most indicative of long-term changes in metabolic factors, and the strongest impact was observed for increases in blood pressure between 30 and 40 years of age. Our study supports that lifestyle interventions preventing metabolic aberrations should focus on avoiding weight increases.
650 7a MEDICIN OCH HÄLSOVETENSKAPx Hälsovetenskapx Folkhälsovetenskap, global hälsa, socialmedicin och epidemiologi0 (SwePub)303022 hsv//swe
650 7a MEDICAL AND HEALTH SCIENCESx Health Sciencesx Public Health, Global Health, Social Medicine and Epidemiology0 (SwePub)303022 hsv//eng
650 7a MEDICIN OCH HÄLSOVETENSKAPx Klinisk medicinx Kardiologi0 (SwePub)302062 hsv//swe
650 7a MEDICAL AND HEALTH SCIENCESx Clinical Medicinex Cardiac and Cardiovascular Systems0 (SwePub)302062 hsv//eng
7001 a Ulmer, Hannou Med Univ Innsbruck, Dept Med Stat Informat & Hlth Econ, Innsbruck, Austria,Medical University of Innsbruck4 aut
7001 a Nagel, Gabrieleu Ulm Univ, Inst Epidemiol & Med Biometry, Ulm, Germany;Agcy Prevent & Social Med, Bregenz, Austria,University of Ulm4 aut
7001 a Peter, Raphael Simonu Ulm Univ, Inst Epidemiol & Med Biometry, Ulm, Germany,University of Ulm4 aut
7001 a Fritz, Josefu Med Univ Innsbruck, Dept Med Stat Informat & Hlth Econ, Innsbruck, Austria,Medical University of Innsbruck4 aut
7001 a Myte, Robinu Umeå University,Umeå universitet,Onkologi,Umea Univ, Dept Radiat Sci, Umea, Sweden4 aut0 (Swepub:umu)romy0001
7001 a van Guelpen, Bethanyu Umeå University,Umeå universitet,Onkologi,Umea Univ, Dept Radiat Sci, Umea, Sweden4 aut0 (Swepub:umu)beyvan99
7001 a Föger, Bernhardu Agcy Prevent & Social Med, Bregenz, Austria4 aut
7001 a Concin, Hansu Agcy Prevent & Social Med, Bregenz, Austria4 aut
7001 a Häggström, Christelu Umeå University,Uppsala universitet,Umeå universitet,Enheten för biobanksforskning,Näringsforskning,Uppsala University, Department of Surgical Sciences, Uppsala, Sweden,Endokrinkirurgi,Umea Univ, Dept Biobank Res, Umea, Sweden;Umea Univ, Dept Publ Hlth & Clin Med, Nutr Res, Umea, Sweden4 aut0 (Swepub:uu)chrha650
7001 a Stattin, Päru Uppsala University,Uppsala universitet,Urologkirurgi4 aut0 (Swepub:uu)parst892
7001 a Stocks, Tanjau Lund University,Lunds universitet,Institutionen för kliniska vetenskaper, Malmö,Medicinska fakulteten,Department of Clinical Sciences, Malmö,Faculty of Medicine4 aut0 (Swepub:lu)med-tss
7102 a Kings Coll London, Div Canc Studies Translat Oncol & Urol Res, London, Englandb King's College London4 org
7730 t PLOS ONEd : Public Library Scienceg 13:6q 13:6x 1932-6203
8564 u https://doi.org/10.1371/journal.pone.0197830y Fulltext
8564 u https://umu.diva-portal.org/smash/get/diva2:1240030/FULLTEXT01.pdfx primaryx Raw objecty fulltext:print
8564 u https://doi.org/10.1371/journal.pone.0197830
8564 u https://uu.diva-portal.org/smash/get/diva2:1244856/FULLTEXT01.pdfx primaryx Raw objecty fulltext:print
8564 u http://dx.doi.org/10.1371/journal.pone.0197830x freey FULLTEXT
8564 8u https://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-150785
8564 8u https://doi.org/10.1371/journal.pone.0197830
8564 8u https://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-358525
8564 8u https://lup.lub.lu.se/record/73fff48a-5d92-44e9-858b-60a5d7714014

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