» Articles » PMID: 31949174

Individual and Interpersonal Correlates of Cardiorespiratory Fitness in Adults - Findings from the German Health Interview and Examination Survey

Overview
Journal Sci Rep
Specialty Science
Date 2020 Jan 18
PMID 31949174
Citations 5
Authors
Affiliations
Soon will be listed here.
Abstract

Cardiorespiratory fitness (CRF) is an established predictor of adverse health outcomes. The aim of this study is to investigate potential behavioral, interpersonal and socioeconomic correlates of CRF among men and women living in Germany using data from a population-based nationwide cross-sectional study. 1,439 men and 1,486 women aged 18-64 participated in the German Health Interview and Examination Survey (2008-2011) and completed a standardized sub-maximal cycle ergometer test. Maximal oxygen consumption ([Formula: see text]) in ml·min·kg was estimated. Mean values of VOmax for various anthropometric, behavioral, interpersonal, and sociodemographic variables were estimated. Linear regression analyses using multiple imputations technique for missing values was performed to analyze the influence of potential correlates on CRF. Women with high alcohol consumption had higher [Formula: see text], (β = 2.20; 95% CI 0.98 to 3.42) than women with low alcohol consumption and women with high occupational status had higher [Formula: see text] (β = 1.83; 95% CI 0.21 to 3.44) in comparison to women with low occupational status. Among men, high fruit intake (β = 1.52; 95% CI 0.63 to 2.40), compared to low or medium fruit intake and performing at least 2.5 hours of total PA per week (β = 2.19; 95% CI 1.11 to 3.28), compared to less than 2.5 hours was associated with higher [Formula: see text]. Among both men and women, lower body mass index, lower waist circumference and higher levels of physical exercise were considerably associated with higher [Formula: see text]. Among women, those in higher age groups showed a considerably lower level of [Formula: see text] compared with those aged 18-24. Furthermore, mean estimated [Formula: see text] was higher among men (36.5; 95% CI 36.0 to 37.0) than among women (30.3; 95% CI 29.8 to 30.7). Despite the cross-sectional nature of the current study, we conclude that several behavioral, anthropometric, and sociodemographic factors are associated with CRF in the general adult population in Germany. These results can provide evidence to tailor prevention measures according to the needs of specific subgroups.

Citing Articles

Estimated Cardiorespiratory Fitness and Metabolic Risks.

Sloan R Int J Environ Res Public Health. 2024; 21(5).

PMID: 38791849 PMC: 11120962. DOI: 10.3390/ijerph21050635.


Relationships between Obesity, Exercise Preferences, and Related Social Cognitive Theory Variables among Breast Cancer Survivors.

Brown N, Pekmezi D, Oster R, Courneya K, McAuley E, Ehlers D Nutrients. 2023; 15(5).

PMID: 36904284 PMC: 10005113. DOI: 10.3390/nu15051286.


Calibrating a Comprehensive Immune Age Metric to Analyze the Cross Sectional Age-Related Decline in Cardiorespiratory Fitness.

Brode P, Claus M, Gajewski P, Getzmann S, Golka K, Hengstler J Biology (Basel). 2022; 11(11).

PMID: 36358277 PMC: 9687950. DOI: 10.3390/biology11111576.


Retrospective analysis of exercise capacity in patients with coronary artery disease after percutaneous coronary intervention or coronary artery bypass graft.

Li Y, Feng X, Chen B, Liu H Int J Nurs Sci. 2021; 8(3):257-263.

PMID: 34307773 PMC: 8283701. DOI: 10.1016/j.ijnss.2021.05.008.


Domain-specific physical activity patterns and cardiorespiratory fitness among the working population: Findings from the cross-sectional German Health Interview and Examination Survey.

Zeiher J, Duch M, Kroll L, Mensink G, Finger J, Keil T BMJ Open. 2020; 10(4):e034610.

PMID: 32345698 PMC: 7213860. DOI: 10.1136/bmjopen-2019-034610.

References
1.
Sallis J, Cervero R, Ascher W, Henderson K, Kraft M, Kerr J . An ecological approach to creating active living communities. Annu Rev Public Health. 2006; 27:297-322. DOI: 10.1146/annurev.publhealth.27.021405.102100. View

2.
Finger J, Gosswald A, Hartel S, Muters S, Krug S, Holling H . [Measurement of cardiorespiratory fitness in the German Health Interview and Examination Survey for Adults (DEGS1)]. Bundesgesundheitsblatt Gesundheitsforschung Gesundheitsschutz. 2013; 56(5-6):885-93. DOI: 10.1007/s00103-013-1694-5. View

3.
Thai A, Papapanou P, Jacobs Jr D, Desvarieux M, Demmer R . Periodontal infection and cardiorespiratory fitness in younger adults: results from continuous national health and nutrition examination survey 1999-2004. PLoS One. 2014; 9(3):e92441. PMC: 3963905. DOI: 10.1371/journal.pone.0092441. View

4.
Duvigneaud N, Matton L, Wijndaele K, Deriemaeker P, Lefevre J, Philippaerts R . Relationship of obesity with physical activity, aerobic fitness and muscle strength in Flemish adults. J Sports Med Phys Fitness. 2008; 48(2):201-10. View

5.
Loe H, Rognmo O, Saltin B, Wisloff U . Aerobic capacity reference data in 3816 healthy men and women 20-90 years. PLoS One. 2013; 8(5):e64319. PMC: 3654926. DOI: 10.1371/journal.pone.0064319. View