Cross-Sectional Associations of Body Adiposity, Sedentary Behavior, and Physical Activity with Hemoglobin and White Blood Cell Count

Tiia Koivula, Salla Lempiäinen, Saara Laine, Tanja Sjöros, Henri Vähä-Ypyä, Taru Garthwaite, Eliisa Löyttyniemi, Harri Sievänen, Tommi Vasankari, Juhani Knuuti and Ilkka H. A. Heinonen ()
Additional contact information
Tiia Koivula: Turku PET Centre, University of Turku and Turku University Hospital, 20520 Turku, Finland
Salla Lempiäinen: Oncology Clinic, Turku University Hospital, 20520 Turku, Finland
Saara Laine: Turku PET Centre, University of Turku and Turku University Hospital, 20520 Turku, Finland
Tanja Sjöros: Turku PET Centre, University of Turku and Turku University Hospital, 20520 Turku, Finland
Henri Vähä-Ypyä: The UKK-Institute, 33500 Tampere, Finland
Taru Garthwaite: Turku PET Centre, University of Turku and Turku University Hospital, 20520 Turku, Finland
Eliisa Löyttyniemi: Department of Biostatistics, University of Turku, 20520 Turku, Finland
Harri Sievänen: The UKK-Institute, 33500 Tampere, Finland
Tommi Vasankari: The UKK-Institute, 33500 Tampere, Finland
Juhani Knuuti: Turku PET Centre, University of Turku and Turku University Hospital, 20520 Turku, Finland
Ilkka H. A. Heinonen: Turku PET Centre, University of Turku and Turku University Hospital, 20520 Turku, Finland

IJERPH, 2022, vol. 19, issue 21, 1-14

Abstract: Background: This study examined whether hemoglobin (Hb) and white blood cell count (WBC) associate with body adiposity and other cardiometabolic risk factors, as well as accelerometer-measured sedentary behavior (SB) and physical activity (PA), when adjusted for body mass index (BMI). Methods: The cross-sectional analysis included 144 participants (42 men) with a mean age of 57.0 years and a mean BMI of 31.7 kg/m 2 . SB and standing time, breaks in sedentary time and PA were measured during four consecutive weeks with hip-worn accelerometers. A fasting blood sample was collected from each participant during the 4-week measurement period and analyzed using Sysmex XN and Cobas 8000 c702 analyzers. Associations of WBC, Hb and other red blood cell markers with cardiometabolic risk factors and physical activity were examined by Pearson’s partial correlation coefficient test and with linear mixed regression models. Results: In sex- and age-adjusted correlation analyses both BMI and waist circumference correlated positively with Hb, WBC, red blood cell count (RBC), and hematocrit. Hb was also positively correlated with systolic blood pressure, insulin resistance scores, liver enzymes, LDL, and triglyceride levels. Sedentary time correlated positively with WBC, whereas standing time correlated negatively with WBC. Lying time correlated positively with WBC, RBC, hematocrit, and Hb. Regarding SB and PA measures, only the association between lying time and RBC remained significant after adjustment for the BMI. Conclusion: We conclude that body adiposity, rather than components of SB or PA, associates with Hb levels and WBC, which cluster with general metabolic derangement.

Keywords: accelerometer; inflammatory markers; abnormal blood count; overweight; physical activity; sedentary behavior (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2022
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