Search

Objectives: To determine how components of accelerometer-measured sedentary behavior (SB) and physical activity (PA), and fitness are associated with insulin sensitivity in adults with metabolic syndrome., Design: Cross-sectional., Methods: Target population was middle-aged (40-65 years) sedentary adults with metabolic syndrome. SB, breaks in SB, standing, and PA were measured for four weeks with hip-worn accelerometers. VO 2 max (ml/min/kg) was measured with maximal cycle ergometry. Insulin sensitivity was determined by hyperinsulinaemic-euglycaemic clamp (M-value) and fasting blood sampling (HOMA-IR, insulin). Multivariable regression was used for analyses., Results: Sixty-four participants (37 women; 58.3 [SD 6.8] years) were included. Participants spent 10.0 (1.0) h sedentary, 1.8 (0.6) h standing, and 2.7 (0.6) h in PA and took 5149 (1825) steps and 29 (8) breaks daily. In sex-, age- and accelerometer wear time-adjusted model SB, standing, steps and VO 2 max were associated with M-value (β = -0.384; β = 0.400; β = 0.350; β = 0.609, respectively), HOMA-IR (β = 0.420; β = -0.548; β = -0.252; β = -0.449), and insulin (β = 0.433; β = -0.541; β = -0.252; β = -0.453); all p-values < 0.05. Breaks associated only with M-value (β = 0.277). When further adjusted for body fat %, only standing remained significantly associated with HOMA-IR (β = -0.381) and insulin (β = -0.366); significance was maintained even when further adjusted for SB, PA and fitness. Light and moderate-to-vigorous PA were not associated with insulin sensitivity., Conclusions: Standing is associated with insulin sensitivity markers. The association with HOMA-IR and insulin is independent of adiposity, PA, SB and fitness. Further studies are warranted, but these findings encourage replacing sitting with standing for potential improvements in insulin sensitivity in adults at increased type 2 diabetes risk., (Copyright © 2021 The Authors. Published by Elsevier Ltd.. All rights reserved.)

The physical demands of daily life in developed countries have decreased remarkably during the last two centuries. General leisure time has increased and the age at retirement has decreased. General health has improved and life expectancy has increased. Most people can expect to live 20-30 years after retirement. By 2050, one in four people in Europe and North America will be aged 65 or over. Furthermore, women live longer than men. Generally, the physical demands on older women will be low. Thus, their physical fitness will decline, which in turn will affect a variety of organ systems and functions, and so impact on mental health, quality of life and independent living. This opinion paper explores exercise strategies for healthy ageing., (Copyright © 2020 Elsevier B.V. All rights reserved.)

Objectives: The purpose of the present study was to investigate how aerobic fitness, muscle fitness and body mass index (BMI) change in relation to their baseline levels during 6-12 months of military service., Design: Retrospective longitudinal follow-up study., Methods: The study group consisted of 249279 healthy young male conscripts (age 19.1±0.4 yrs.) who completed their military service between the years 2005-2015. Anthropometrics (body mass, height, BMI), aerobic fitness (12-min running test) and muscle fitness (sit-ups, push-ups, standing long jump) were measured., Results: A 12-min running test improved by 5% (107±292m), standing long jump 1% (2.1±16.2cm), 1-min sit-ups 19% (4±8 repetitions/min) and 1-min push-ups 33% (5±10 repetitions/min) (p<0.001 for all). Baseline fitness and baseline BMI levels were inversely associated with their changes (r=-0.37 to -0.47, p<0.001). Performance improved in conscripts in the lowest two baseline fitness quartiles in all tests, while it decreased in conscripts in the highest fitness quartiles. In addition, in conscripts who were obese at baseline, body mass decreased on average by 4.9±7.0kg (p<0.001)., Conclusions: On average, the physical fitness of conscripts improved during their compulsory military service. In particular, conscripts with a lower baseline fitness level or higher BMI showed the largest improvements, which may be significant findings from both a military readiness and national health perspective. However, the decline in physical performance of high-fit conscripts highlights the importance of individualization of physical training and military training load during military service., (Copyright © 2020 Sports Medicine Australia. Published by Elsevier Ltd. All rights reserved.)

Importance: High physical fitness is associated with a reduction in risk of cardiovascular diseases and death, but the underlying mechanisms are insufficiently understood., Objective: To determine how aerobic fitness and muscular strength are associated with serum metabolome measures., Design, Setting, and Participants: This cross-sectional study included Finnish men receiving military refresher training from May 5, 2015, to November 28, 2015, representing partly overlapping groups of individuals with the lowest vs highest aerobic fitness and the lowest vs highest muscular strength. Data analyses were conducted from January 1, 2018, to May 31, 2019., Main Outcomes and Measures: The associations of aerobic fitness (determined with maximum oxygen consumption in milliliters per minute per kilogram, measured with maximal cycle ergometer test) and muscular strength (determined with a maximal strength test for lower extremities in kilograms) with 66 metabolome measures from fasting serum samples (nuclear magnetic resonance-based metabolomics) were analyzed., Results: Participants included 580 Finnish men (mean [SD] age, 26.1 [6.5] years). Including overlap between groups, there were 196 men in the lowest aerobic fitness group and 197 men in the highest aerobic fitness group as well as 196 men in the lowest muscular strength group and 197 men in the highest muscular strength group. Of 66 studied metabolome measures, 48 differed between high vs low aerobic fitness groups, including small very low-density lipoprotein (standardized median difference, -0.67; 95% CI, -0.83 to -0.49), large high-density lipoprotein (standardized median difference, 0.89; 95% CI, 0.69-1.15), total triglyceride levels (standardized median difference, -0.52; 95% CI, -0.65 to -0.34), isoleucine (standardized median difference, -0.37; 95% CI, -0.55 to -0.16), leucine (standardized median difference, -0.55; 95% CI, -0.72 to -0.34), phenylalanine (standardized median difference, -0.54; 95% CI, -0.71 to -0.32), glycerol (standardized median difference, -0.64; 95% CI, -0.81 to -0.48), and glycoprotein (standardized median difference, -0.78; 95% CI, -0.95 to -0.62) concentration, a high unsaturation degree of fatty acids (standardized median difference, 0.59; 95% CI, 0.42-0.81), and apolipoprotein B to apolipoprotein A1 ratio (standardized median difference, -0.88; 95% CI, -1.08 to -0.67). Adding aerobic fitness into the regression model after age, education, smoking, use of alcohol, and dietary factors accounted for more than an additional 5% of variation for 25 metabolome measures (R2 range, 5.01%-15.90% by measure). With these 2 criteria, maximal muscular strength was not associated with any metabolome measures. Aerobic fitness was associated with high large high-density lipoprotein particle concentration (R2, 14.97%; 95% CI, 10.65%-20.85%), low apolipoprotein B to apolipoprotein A1 ratio (R2, 14.49%; 95% CI, 10.58%-19.51%), and low glycoprotein concentration (R2, 15.90%; 95% CI, 11.22%-21.51%). Aerobic fitness was also associated with low very low-density lipoprotein, triglyceride, isoleucine, leucine, phenylalanine, glycerol, and glycoprotein concentrations and with a high unsaturation degree of fatty acids. Adjusting for recent physical activity influenced the results minimally. Adjusting for body fat percentage showed that some of the associations were mechanistically associated with body fat percentage., Conclusions and Relevance: This study provides data on the association of high aerobic fitness with underlying oxidative lipid metabolism associated with a reduction in cardiometabolic risk. High maximal muscular strength is not similarly associated with these benefits.

Purpose: The purpose of the present study was to investigate changes in physical fitness and anthropometry of young men entering the military service in Finland during the years 1975-2015., Methods: The study included the fitness test results of 627,142 healthy young male conscripts (age 19.1 ± 0.4 yr). Data included results of aerobic capacity, muscle fitness tests, and anthropometric characteristics., Results: The results show that the increase in mean body mass of young men has slowed down during the last 10 yr. However, the total increase in body mass was 6.8 kg (8.8%, P ≤ 0.001) between 1993 and 2015. The mean distance achieved in the 12-min running test decreased by 337 m (12.2%, P ≤ 0.001) between the peak in 1980 and 2015. The relative number of conscripts who ran less than 2200 m increased from 3.6% to 25.9% (P ≤ 0.001) between 1980 and 2015, and the proportion who ran more than 3000 m decreased from 25.1% to 6.5% (P ≤ 0.001). The relative number of conscripts who achieved an excellent or good muscle fitness index decreased from 66.8% to 40.1% (P ≤ 0.001) between 1992 and 2000, and remained unchanged between 2000 and 2010. However, the proportion who achieved a poor muscle fitness index increased from 8.1% to 31.4% (P ≤ 0.001) between 1992 and 2010., Discussion: The present study shows that the increase in mean body mass of young male conscripts has slowed down during the last 10 yr. However, their aerobic capacity has still decreased during recent decades. In addition, the proportion of conscripts with poor muscle fitness has increased. From the national defense and health perspective, more initiatives are needed to encourage young men to increase their level of daily physical activity to be fit and ready for operations.

Background: The aim was to study the relationships between different domains of physical activity and cardiovascular risk factors and physical fitness., Methods: 781 young men participated. Self-reported leisure-time (LTPA), commuting (CPA) and occupational (OPA) activity were determined. Blood pressure, s-HDL-cholesterol, s-triglycerides and s-LDL-cholesterol, and glucose were measured. The continuous cardiovascular disease (CVD) risk factor score was calculated from the z-score mean of each cardiovascular risk factor. The cutpoint was defined as 1 standard deviation above the mean. Cardiorespiratory and muscular fitness were measured., Results: The likelihood of CVD risk factor score was higher in moderate [OR 1.99 (95% CI 1.21-3.28)] and low [1.87 (1.16-3.02)] CPA groups compared with the high group, whereas neither low nor moderate LTPA or OPA groups showed similar associations after adjustments. Low OPA combined either with low LTPA [2.01 (1.08-3.74)] or low CPA [1.90 (1.05-3.44)] had a higher likelihood for CVD risk factor compared with combined moderate-high categories after adjustments. LTPA was positively associated with all physical fitness parameters, CPA with cardiorespiratory fitness and muscular endurance, and OPA with grip strength., Conclusion: The results emphasize the beneficial role of CPA regarding CVD risk factor score and stress the avoidance of low physical activity in its different domains.

Aim: There is limited evidence available regarding the relationship between physical fitness, especially muscular fitness, and the mental well-being among young healthy men. Therefore, the aim of the present study was to investigate the impact of measured cardiovascular and muscle fitness and self reported leisure time physical activity (LTPA) on outcomes of stress and mental resources in Finnish young men., Methods: In a cross-sectional study, 831 men (mean age 25 y) underwent cardiovascular and muscle fitness test and completed LTPA and Occupational Stress Questionnaires (OSQ). For analysis, the subjects were divided to LTPA, CVF and MFI tertiles., Results: The group with low LTPA reported 6% and 13% more stress (ANCOVA using age, body mass index, smoking and alcohol use as covariates, P<0.05 in both) and 6% and 12% (P<0.05 in both) less mental resources than the moderate and high LTPA groups, respectively. The group having low cardiovascular fitness experienced 8% and 9% (P<0.001 in both) more stress and 7% and 7% (P<0.05 in both) less mental resources than moderate and high cardiovascular fitness groups. The low muscle fitness index (MFI) group reported 7% (P<0.01) less mental resources than those with moderate MFI and 8% (P<0.001) more stress and 8% (P<0.001) less mental resources than those with high MFI., Conclusion: Both good aerobic and muscular fitness together with high LTPA are associated with low stress and high mental resources.

Objectives: This study's objective was to assess the effects of a 12-month physical exercise intervention on work ability (WAI) and cardiorespiratory fitness (CRF) in healthy working adults., Methods: The study group had 371 participants, of which 338 (212 women and 126 men) were allocated in the exercise group and 33 (17 women and 16 men) in the control group. The exercise group underwent a 12-month exercise program followed by a 12-month follow-up. WAI and CRF were evaluated at baseline, and at 4, 8, 12, and 24 study months, in both exercise and control groups. The exercise group was divided into subgroups according to baseline WAI classifications (poor/moderate, good, excellent)., Results: During the 12-month exercise intervention, the exercise group increased their leisure-time physical activity by 71% (p = 0.016) and improved the mean WAI by 3% and CRF by 7% (p < 0.0001, in both), while WAI and CRF decreased in the control group (ANCOVA using age, sex and BMI as covariates, for WAI, p = 0.013 and for CRF, p = 0.008). The changes in WAI and CRF between the exercise group and control group were significantly different during the intervention (baseline vs. 12-months, p = 0.028 and p = 0.007) and after the follow-up (p = 0.001 and p = 0.040), respectively. A light positive correlation between the changes in WAI and in CRF (r = 0.19, p < 0.01) existed. WAI improvement was the highest (13%, p < 0.0001) in the subgroup having poor/moderate WAI at baseline (ANCOVA, p < 0.001)., Conclusions: The improvement of WAI associated with CRF. These results suggest that a physical exercise intervention may improve work ability.

The aim was to study the associations of maximal strength and muscular endurance with single and clustered cardiovascular risk factors. Muscular endurance, maximal strength, cardiorespiratory fitness and waist circumference were measured in 686 young men (25±5 years). Cardiovascular risk factors (plasma glucose, serum high- and low-density lipoprotein cholesterol, triglycerides, blood pressure) were determined. The risk factors were transformed to z-scores and the mean of values formed clustered cardiovascular risk factor. Muscular endurance was inversely associated with triglycerides, s-LDL-cholesterol, glucose and blood pressure (β=-0.09 to - 0.23, p<0.05), and positively with s-HDL cholesterol (β=0.17, p<0.001) independent of cardiorespiratory fitness. Muscular endurance was negatively associated with the clustered cardiovascular risk factor independent of cardiorespiratory fitness (β=-0.26, p<0.05), whereas maximal strength was not associated with any of the cardiovascular risk factors or the clustered cardiovascular risk factor independent of cardiorespiratory fitness. Furthermore, cardiorespiratory fitness was inversely associated with triglycerides, s-LDL-cholesterol and the clustered cardiovascular risk factor (β=-0.14 to - 0.24, p<0.005), as well as positively with s-HDL cholesterol (β=0.11, p<0.05) independent of muscular fitness. This cross-sectional study demonstrated that in young men muscular endurance and cardiorespiratory fitness were independently associated with the clustering of cardiovascular risk factors, whereas maximal strength was not., (© Georg Thieme Verlag KG Stuttgart · New York.)

Purpose: We hypothesized that lower androgen status together with poor physical fitness associates with atherogenic lipid profile and oxidative stress., Methods: Volunteered young men (N = 846, mean age 25.1 ± 4.6 years) were categorized into unfit, average fit, and fit groups according to tertiles of maximal oxygen uptake, series of muscle endurance tests, and maximal upper and lower body strength. Furthermore, concentrations of serum testosterone (TT) and free testosterone (FT) were determined to divide participants into lower and higher testosterone (loTT, hiTT) and free testosterone (loFT, hiFT) subgroups, using medians as cut-off points. The participants were divided into subgroups according to Fitness × Testosterone (Unfit/Average Fit/ Fit × Low/High TT/FT), and the concentrations of serum lipids and ox-LDL were measured., Results: The loTT/unfit cardiorespiratory subgroup had 29% higher concentration of ox-LDL compared with the loTT/fit cardiorespiratory subgroup (p = .044). The loTT / unfit cardiorespiratory subgroup had a significantly higher ratio of ox-LDL/HDL-cholesterol compared with the other five TT subgroups (p < .05, in all). While ox-LDL showed a gradual form of decrease from unfit to fit in loTT cardiorespiratory subgroups, no differences were seen in muscular fitness or maximal strength (upper and lower body) subgroups., Conclusions: Young men with poor cardiorespiratory fitness together with lower levels of TT have higher concentrations of ox-LDL. Good cardiorespiratory fitness combined with lower androgen levels is not related to atherogenic lipid profile. The combination of poor muscular fitness, or maximal muscle strength, and lower TT levels does not cause atherogenic lipid profile.

Background: Metabolic syndrome (MetS) is associated with increased oxidized LDL (ox-LDL), systemic inflammation, and poor cardiorespiratory fitness. We examined affiliations of these factors and the effect of muscular fitness on MetS in young healthy men., Methods: Physical fitness, ox-LDL, tumor necrosis factor α (TNFα), interleukin-6 (IL-6) and serum lipids were measured in a nationally representative sample of Finnish young men with and without MetS. Participants (mean age 25.1years) performed tests of maximal oxygen uptake (VO₂max) and muscle fitness, and were divided into MetS (n=54, IDF 2007 criteria) and non-MetS (n=790). Age, smoking and leisure-time physical activity were used as covariates (ANCOVA)., Results: The MetS group had lower results in VO₂max and all of the muscular fitness tests (excluding grip strength) (P<0.0001, in all). Ox-LDL, ox-LDL/HDL-cholesterol, ox-LDL/LDL-cholesterol, TNFα and IL-6 were all higher in the MetS group than in the non-MetS group (P<0.01, in all). In stepwise multivariate logistic regression analysis (adjusted to MetS criteria), higher ox-LDL (OR 1.118, 95% CI 1.078-1.160), lower VO₂max (OR 0.938, 95% CI 0.901-0.977) and lower sit-ups (OR 0.898, 95% CI 0.844-0.956) predicted MetS (p<0.05, in all)., Conclusions: Young men with MetS possess significantly poorer cardiorespiratory and muscle fitness, together with elevated systemic levels of ox-LDL, TNFα and IL-6 compared to non-MetS young men. Of these variables, ox-LDL, VO₂max and sit-ups predicted MetS. Based on these findings, poor physical fitness and elevated concentration of ox-LDL are significant predisposing factors in the development of MetS., (Copyright © 2013 Elsevier Inc. All rights reserved.)

Good physical fitness is associated with favorable serum lipids. Oxidized low-density lipoprotein (ox-LDL) could be even more atherogenic than serum lipids. We studied the association of ox-LDL and serum lipids with physical fitness. Healthy young (mean age 25 years) men (n=846) underwent maximal oxygen uptake (VO(2max)) and muscle fitness index (MFI) tests and completed a leisure-time physical activity (LTPA) questionnaire. Age (ANCOVA1), age+waist circumference+systolic blood pressure+fasting blood glucose+smoking (ANCOVA3) were used as covariates. The groups with the lowest VO(2max), MFI and LTPA had 23%, 16% and 8% higher concentrations of ox-LDL than the groups with the highest VO(2max) (P<0.0001), MFI (P=0.022) and LTPA (P=0.039) groups, respectively. Subjects with poor fitness (low VO(2max) or low MFI) or low LTPA had elevated levels of ox-LDL/high-density lipoprotein (HDL)-cholesterol, total cholesterol, LDL-cholesterol, triglycerides and a low level of HDL-cholesterol (ANCOVA1, in all, P<0.05). Furthermore, low VO(2max) is associated with a high level of ox-LDL/HDL-cholesterol and triglycerides, and with a low level of HDL-cholesterol (ANCOVA3, in all, P<0.05). Also, subjects with low LTPA had a high ratio of ox-LDL/HDL-cholesterol (ANCOVA1, P=0.001). In conclusion, both poor fitness (both low VO(2max) and low MFI) and low LTPA are associated with a higher concentration of ox-LDL lipids and serum lipids, which may indicate a higher risk for atherosclerosis., (© 2011 John Wiley & Sons A/S.)

Introduction: Oxidized LDL (ox-LDL) is associated with lifestyle diseases such as cardiovascular diseases, metabolic syndrome, and type 2 diabetes. The present study investigated the association between ox-LDL and overweight/obesity and how cardiorespiratory or muscle fitness affects this association., Methods: Healthy young (mean age = 25.1 yr, range = 18-48 yr) men (n = 831) were divided into normal-weight (n = 486), overweight (n = 269), and obese (n = 76) groups according to their body mass index (BMI). The participants underwent physical fitness tests (maximal oxygen uptake with bicycle ergometer and muscle fitness index using series of muscle endurance tests), a general health examination including determination of lipid profile, and a detailed questionnaire. Subjects were further divided into six subgroups according to BMI (normal vs overweight) and physical fitness (fitness tertiles: unfit, average, fit). Age and smoking were used in the statistical analysis as covariates., Results: In overweight and obese participants, the concentrations of ox-LDL (14%/32%) and the ratio of ox-LDL/HDL cholesterol (32%/68%) were higher compared with subjects with normal weight (P < 0.005, in all). In BMI and cardiovascular fitness subgroups, ox-LDL (23%, P < 0.0001) and the ox-LDL/HDL cholesterol ratio (45%, P < 0.0001) were higher in the overweight/unfit subgroup when compared with the normal-weight/unfit subgroup, whereas no differences were observed between the overweight/fit and normal-weight/fit subjects. Among the BMI and muscle fitness subgroups, ox-LDL (24%, P < 0.0001) and the ox-LDL/HDL cholesterol ratio (51%, P < 0.0001) were higher in the overweight/unfit group compared with the normal-weight/unfit group., Conclusions: Overweight and obesity are associated with ox-LDL lipids and serum conventional lipids. However, both good cardiorespiratory fitness and muscular fitness seem to protect overweight subjects from the atherogenic lipid profile.

Obesity in youth has increased during the last 10 years in Western countries. Several studies have investigated physical activity and its effects on obesity and health, showing that regular physical activity combined with improved physical fitness reduces the risk of obesity and several metabolic problems (e.g. diabetes mellitus, metabolic syndrome, heart disease) and also improves overall health. However, there is only limited scientific information available concerning the changes in the physical fitness profiles of youth. It is obvious that only slight changes observed in endurance-type physical activity can also be observed in aerobic capacity. Today and in the future, a major public health concern for teenage and young adults is the combination of increasing body fatness together with decreasing physical fitness. In order to evaluate overall fitness level, it is particularly essential to examine both aerobic and neuromuscular fitness. Therefore, in clinical practice work and health behaviour education, a person's physical fitness should be measured more frequently with various measures. Furthermore, population-based surveys should be combined with regular measurement of physical fitness to study sedentary lifestyles, particularly in young people. This article presents a review of current physical fitness profiles of male children, adolescents and young adults, which hopefully initiates further studies in this relevant scientific field. In addition, the importance of physical fitness level is evaluated in relation to obesity and health. Collectively, studies examining physical fitness profiles of young men suggest a disturbing worldwide trend of decreased aerobic fitness and increased obesity. Continued efforts to foster improved physical fitness and healthy lifestyles should be encouraged to combat these trends. Such efforts should include frequent and objective assessment of physical fitness rather than solely relying on subjective assessment of physical activity.

Background: Currently, there is insufficient evidence available regarding the relationship between level of physical fitness and health-related quality of life (HRQoL) in younger adults. Therefore, the aim of the present study was to investigate the impact of measured cardiovascular and musculoskeletal physical fitness level on HRQoL in Finnish young men., Methods: In a cross-sectional study, we collected data regarding the physical fitness index, including aerobic endurance and muscle fitness, leisure-time physical activity (LTPA), body composition, health, and HRQoL (RAND 36) for 727 men [mean (SD) age 25 (5) years]. Associations between HRQoL and the explanatory parameters were analyzed using the logistic regression analysis model., Results: Of the 727 participants who took part in the study, 45% were in the poor category of the physical fitness, while 37% and 18% were in the satisfactory and good fitness categories, respectively. A higher frequency of LTPA was associated with higher fitness (p < 0.001). Better HRQoL in terms of general health, physical functioning, mental health, and vitality were associated with better physical fitness. When the HRQoL of the study participants were compared with that of the age- and gender-weighted Finnish general population, both the good and satisfactory fitness groups had higher HRQoL in all areas other than bodily pain. In a regression analysis, higher LTPA was associated with three dimensions of HRQoL, higher physical fitness with two, and lower number of morbidities with all dimensions, while the effect of age was contradictory., Conclusions: Our study of Finnish young men indicates that higher physical fitness and leisure-time physical activity level promotes certain dimensions of HRQoL, while morbidities impair them all. The results highlight the importance of health related physical fitness while promoting HRQoL.

Purpose: This population-based study describes fitness profiles in aerobic capacity (N = 387088) during the years 1975-2004, muscle performance (N = 280285) from 1982 to 2003, and body anthropometry (N = 324911) from 1993 to 2004 among the Finnish conscripts at the age of 20 yr., Methods: Endurance performance was tested by the 12-min running test. Muscle fitness tests consisting of sit-ups, push-ups, pull-ups, a back-muscle test, and standing long jump were scored to muscle fitness index (MFI)., Results: The mean body mass of the conscripts increased from 70.8 to 75.2 kg (P < 0.01) during the years 1993-2004. The mean distance of the conscripts" 12-min running test increased first by 4% from 1975 to 1979, but after it that decreased by 12% (from 2760 m to 2434 m, P < 0.001) compared with the year 2004. MFI increased during the first decade of the follow-up, but thereafter, the number of conscripts who achieved excellent and good MFI decreased from 66.8 to 41.2% (P < 0.001) during the years 1992-2004. The physical ability of the conscripts to meet military service declined during the last 15 yr., Conclusion: Both the increase in body mass and the decrease in physical fitness may lead to serious health problems in the future.