Which is more important for cardiometabolic health
| Autor: | Simone J. S. Sep, Carla J.H. van der Kallen, Ronald M.A. Henry, Simone J. P. M. Eussen, Nicolaas C. Schaper, Martien C. J. M. van Dongen, Coen D.A. Stehouwer, Hans H.C.M. Savelberg, Miranda T. Schram, Pieter C. Dagnelie, Annemarie Koster, Jeroen H. P. M. van der Velde |
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| Přispěvatelé: | Nutrition and Movement Sciences, RS: NUTRIM - R1 - Obesity, diabetes and cardiovascular health, RS: CARIM - R3.01 - Vascular complications of diabetes and the metabolic syndrome, RS: NUTRIM - R3 - Chronic inflammatory disease and wasting, Promovendi CD, Interne Geneeskunde, MUMC+: MA Endocrinologie (9), RS: CAPHRI - R2 - Creating Value-Based Health Care, RS: CARIM - R3.02 - Hypertension and target organ damage, MUMC+: HVC Pieken Maastricht Studie (9), MUMC+: MA Interne Geneeskunde (3), RS: CAPHRI - R5 - Optimising Patient Care, Epidemiologie, Sociale Geneeskunde, RS: CAPHRI - R4 - Health Inequities and Societal Participation |
| Jazyk: | angličtina |
| Rok vydání: | 2018 |
| Předmět: |
Blood Glucose
Male Endocrinology Diabetes and Metabolism Physical fitness Type 2 diabetes 030204 cardiovascular system & hematology Logistic regression Impaired glucose tolerance 0302 clinical medicine Surveys and Questionnaires Accelerometry 030212 general & internal medicine Prediabetes METABOLIC SYNDROME GENERAL-POPULATION MEN ASSOCIATION Middle Aged DISEASE RISK-FACTORS Cardiorespiratory Fitness CARDIOVASCULAR-DISEASE Female Waist Circumference hormones hormone substitutes and hormone antagonists BEHAVIOR Adult medicine.medical_specialty endocrine system Article 03 medical and health sciences Internal medicine Internal Medicine medicine Humans Exercise METAANALYSIS Aged business.industry Physical activity MORTALITY Cardiorespiratory fitness Sedentary behaviour ADULTS medicine.disease Impaired fasting glucose Endocrinology Cross-Sectional Studies Logistic Models Diabetes Mellitus Type 2 The metabolic syndrome Metabolic syndrome Sedentary Behavior business |
| Zdroj: | Diabetologia Diabetologia, 61(12), 2561-2569. Springer, Cham |
| ISSN: | 1432-0428 0012-186X |
| DOI: | 10.1007/s00125-018-4719-7 |
| Popis: | Aims/hypotheses Our aim was to examine the independent and combined (cross-sectional) associations of sedentary time (ST), higher intensity physical activity (HPA) and cardiorespiratory fitness (CRF) with metabolic syndrome and diabetes status. Methods In 1933 adults (aged 40–75 years) ST and HPA (surrogate measure for moderate to vigorous physical activity) were measured with the activPAL3. CRF was assessed by submaximal cycle–ergometer testing. Metabolic syndrome was defined according to the Adult Treatment Panel (ATP) III guidelines. Diabetes status (normal, prediabetes [i.e. impaired glucose tolerance and/or impaired fasting glucose] or type 2 diabetes) was determined from OGTT. (Multinomial) logistic regression analyses were used to calculate likelihood for the metabolic syndrome, prediabetes and type 2 diabetes according to ST, HPA and CRF separately and combinations of ST–CRF and HPA–CRF. Results Higher ST, lower HPA and lower CRF were associated with greater odds for the metabolic syndrome and type 2 diabetes independently of each other. Compared with individuals with high CRF and high HPA (CRFhigh–HPAhigh), odds for the metabolic syndrome and type 2 diabetes were higher in groups with a lower CRF regardless of HPA. Individuals with low CRF and low HPA (CRFlow–HPAlow) had a particularly high odds for the metabolic syndrome (OR 5.73 [95% CI 3.84, 8.56]) and type 2 diabetes (OR 6.42 [95% CI 3.95, 10.45]). Similarly, compared with those with high CRF and low ST (CRFhigh–STlow), those with medium or low CRF had higher odds for the metabolic syndrome, prediabetes and type 2 diabetes, irrespective of ST. In those with high CRF, high ST was associated with significantly high odds for the metabolic syndrome (OR 2.93 [95% CI 1.72, 4.99]) and type 2 diabetes (OR 2.21 [95% CI 1.17, 4.17]). The highest odds for the metabolic syndrome and type 2 diabetes were observed in individuals with low CRF and high ST (CRFlow–SThigh) (OR [95% CI]: the metabolic syndrome, 9.22 [5.74, 14.80]; type 2 diabetes, 8.38 [4.83, 14.55]). Conclusions/interpretation These data suggest that ST, HPA and CRF should all be targeted in order to optimally reduce the risk for the metabolic syndrome and type 2 diabetes. Electronic supplementary material The online version of this article (10.1007/s00125-018-4719-7) contains peer-reviewed but unedited supplementary material, which is available to authorised users. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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