BackgroundThere are conflicting reports about the fitness status of European adults, partly due to the lack of a standardized fitness test battery used across Europe. The European Fitness Badge (EFB) was developed in 2017 as an online-based tool to assess the health-related fitness of persons aged ≥ 18 years residing in European countries. We examined the demographic characteristics and fitness status of persons who completed the EFB between June 2017 and May 2019.MethodsWe conducted a multinational study in eight European countries. Participants completed the EFB which includes 11 validated motor tests to measure endurance, strength, coordination, and flexibility performance, under the supervision of an EFB instructor in different settings (e.g., sports club sessions, public events). Two different test batteries [test profiles (TPs)] are available to distinguish between less active (TP1) and active individuals (TP2). We calculated descriptive statistics and conducted analyses of variance to examine sample characteristics and a potential impact of sex, age, body mass index (BMI), physical activity, and posture on fitness as assessed by the EFB.ResultsThe sample included 6,019 adults (68.7% females; mean age 52.7 years; age range 18–89 years). Participants who completed TP1 were older (TP1: 61.4 years; TP2: 44.2 years; p = 0.00), reported a lower level of physical activity (TP1: 3.8; TP2: 4.0; p = 0.00), had a higher BMI (TP1: 25.7; TP2: 24.3; p = 0.00) and a higher frequency of postural abnormalities (TP1: 43%; TP2: 33%; p = 0.00) than TP2 participants. Among 3,034 participants who completed TP2, males had higher performance in endurance, strength, and overall fitness, whereas females performed better in coordination and flexibility tests. In addition, younger age, lower BMI, and higher level of physical activity engagement were associated with better EFB test performance.ConclusionThe EFB can be used to assess the health-related fitness status of individuals aged ≥ 18 years. Our results show that TP1 and TP2 were completed by persons from the respective target groups (i.e., less active vs. active), and also confirm findings from previous studies on potential determinants of fitness such as sex or age.
Strong evidence exists that fitness is a physical health resource, which serves to protect one's health. There is still uncertainty about which fitness level provides the best health outcome and which measurements can be used for analyzing this question. This cross-sectional study analyzed 462 (64.07% female) German middle-aged adults regarding their fitness status, physical activity (Non-Exercise test), body composition (Body Mass Index) and heart-related health status. Motor tests were used to measure the health-related fitness status. The heart-related health status was surveyed by questionnaire and diagnosis was done in part by a physician. Relationships between risk factors and fitness factors are visible during the correlative analysis. They are substantially more visible in the differentiation of people with and without risks. People with low fitness show noticeable risks in activity, Body Mass Index and heart-related health. People with high fitness show health resources for activity, Body Mass Index and heart-related health. This study points out that all fitness dimensions influence one's heart-related health in a positive way. Fitness is measured objectively and includes all health-related fitness dimensions such as endurance, strength, coordination and flexibility. Apart from this standardization, we ask for more longitudinal studies and more objective health measurements.
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