Vitamin D, mainly synthesised in the skin under UV-B radiation exposure of 7-dehydrocholesterol, is transported to the liver and subsequently hydroxylated to 25-hydroxyvitamin D (25(OH)D)( Reference Finklea, Grossmann and Tangpricha 1 ). Further, to a small extent food, for example, fish, eggs and milk, could be a source of vitamin D in the diet( Reference Forney, Earnest and Henagan 2 , Reference Mathei, Van Pottelbergh and Vaes 3 ). 25(OH)D, the precursor of the active hormone calcitriol, has an important role in bone health( Reference Ceglia 4 – Reference Zittermann and Gummert 6 ). During the past decade, several studies drew attention to vitamin D and its broad range of effects on health status and suggested that, besides the known effects on calcium homeostasis, vitamin D also could have an important role in CVD, cancer and autoimmune diseases( Reference Guessous 7 ). However, the previously shown positive effects of vitamin D supplementation on fractures, tendency to fall or mortality( Reference Bischoff-Ferrari, Dawson-Hughes and Staehelin 8 – Reference Pludowski, Holick and Pilz 10 ) are a matter of current controversies because recent studies partially repudiated these findings( Reference Bolland, Grey and Gamble 11 , Reference Theodoratou, Tzoulaki and Zgaga 12 ). Thereby, given these inconsistencies, additional research with respect to vitamin D and its health effects is needed.
Few studies regarding the relation of vitamin D with physical performance have been conducted. Small studies among healthy subjects( Reference Forney, Earnest and Henagan 2 – Reference Ceglia 4 , Reference Mowry, Costello and Heelan 13 – Reference Toffanello, Perissinotto and Sergi 19 ), mainly within a limited age range( Reference Forney, Earnest and Henagan 2 , Reference Mathei, Van Pottelbergh and Vaes 3 , Reference Mowry, Costello and Heelan 13 – Reference Toffanello, Perissinotto and Sergi 19 ), as well as studies among patients with congestive heart failure( Reference Boxer, Kenny and Cheruvu 20 ), renal failure( Reference Petchey, Howden and Johnson 21 ) or chronic obstructive pulmonary disease (COPD)( Reference Bjerk, Edgington and Rector 22 , Reference Ferrari, Schenk and Papadopoulou 23 ), revealed positive associations between vitamin D levels and measures of physical performance. In detail, vitamin D levels >30 ng/ml were correlated to higher peakVO2 ( Reference Forney, Earnest and Henagan 2 , Reference Mowry, Costello and Heelan 13 , Reference Ardestani, Parker and Mathur 14 ), as shown by Mowry et al. (r 0·36; P<0·01)( Reference Mowry, Costello and Heelan 13 ) and Ardestani et al. (r 0·29; P<0·05)( Reference Ardestani, Parker and Mathur 14 ), as well as static balance, gait speed or grip strength( Reference Mathei, Van Pottelbergh and Vaes 3 , Reference Ceglia 4 , Reference Houston, Cesari and Ferrucci 15 – Reference Toffanello, Perissinotto and Sergi 19 ), as assessed by Short Physical Performance Battery Tests (SPPBT).
Previous studies suggest various mechanisms potentially explaining the association between vitamin D and physical performance( Reference Petchey, Howden and Johnson 21 , Reference Ceglia, Niramitmahapanya and da Silva Morais 24 – Reference Hamilton 26 ). Vitamin D appears to be involved in the function of muscle tissue( Reference Hamilton 26 ) by mainly influencing type II muscle fibres and binding to the 25(OH)D receptor, located in the muscle tissue. In addition, Ceglia et al.( Reference Ceglia, Niramitmahapanya and da Silva Morais 24 ) found an increase, even if non-significant, in intramyonuclear 25(OH)D receptor concentration in type I muscle fibres following supplementation of vitamin D in older mobility-limited vitamin D-insufficient women. Subsequently, the transcription of various genes is affected, and both ATP and muscle proteins are synthesised( Reference Petchey, Howden and Johnson 21 , Reference Shuler, Wingate and Moore 25 ). In consequence, positive associations of increasing vitamin D levels with physical performance are probable.
The main limitation of previous studies among healthy subjects( Reference Forney, Earnest and Henagan 2 , Reference Mathei, Van Pottelbergh and Vaes 3 , Reference Mowry, Costello and Heelan 13 – Reference Toffanello, Perissinotto and Sergi 19 ) is their limited age range, investigating either subjects younger than 25 years( Reference Forney, Earnest and Henagan 2 , Reference Mowry, Costello and Heelan 13 ) or older than 65 years( Reference Mathei, Van Pottelbergh and Vaes 3 , Reference Houston, Cesari and Ferrucci 15 – Reference Toffanello, Perissinotto and Sergi 19 ). A single study( Reference Ardestani, Parker and Mathur 14 ) investigated a broader age range; however, the sample size of 200 subjects was relatively small. Therefore, the aim of our investigation was to examine the relationship between 25(OH)D levels and physical function parameters in a large population of subjects aged 25–85 years and to replicate the findings in an independent sample. Physical function parameters including peakVO2, VO2 at anaerobic threshold (VO2@AT), O2 pulse and maximum power output were assessed by cardiopulmonary exercise testing (CPET).
Methods
Study volunteers consisted of participants of the Study of Health in Pomerania (SHIP). SHIP is a population-based project in the northeast of Germany (latitude of 54° North). The study details are given elsewhere( Reference Völzke, Alte and Schmidt 27 , Reference Keil, Stieber and Doring 28 ). In brief, from the entire study population of 212 157 inhabitants living in the area, a sample was selected from the population registration offices, where all German inhabitants are registered. A two-stage cluster sampling method was adopted from the WHO MONICA (Multinational MONItoring of trends and determinants in CArdiovascular disease) Project Augsburg, Germany( Reference Keil, Stieber and Doring 28 ). A representative sample was drawn, which comprised 7008 adults aged 20–79 years with 292 persons of each sex in each of the twelve five-year age strata. The net sample (without migrated or deceased people) consisted of 6267 eligible subjects, of whom 4308 individuals eventually participated in the baseline study of SHIP (SHIP-0). Data collection started in October 1997 and was completed in March 2001. From March 2002 until July 2006, a five-year follow-up examination was performed (SHIP-1). The sample (without migrated, deceased or non-responding people) now comprised 3300 subjects (1584 men and 1709 women) aged 25–85 years. Of those, 1708 subjects volunteered for a standardised progressive incremental exercise test on a cycle ergometer. The study conformed to the principles of the Declaration of Helsinki, as reflected by an a priori approval of the Ethics Committee of the University of Greifswald.
Among the 1708 subjects available for analyses, 274 subjects were excluded because of the presence of at least one of the following conditions: missing values of CPET parameters or 25(OH)D levels, parathyroid hormone>120 pg/ml, stenosis, estimated glomerular filtration rate <30 ml/min per 1·73 m2, intake of digitalis glycosides (anatomical therapeutic chemical (ATC) code C01AA), selective Ca channel blockers with direct cardiac effects (ATC code C08D) or vitamin D and analogues (ATC code A11CC), as well as missing values for confounding factors. The final study population comprised 1377 individuals (677 men and 700 women).
To validate and to determine whether the findings from SHIP-1 can be generalised to other participants, data of the independent SHIP-TREND cohort were used for replication( Reference Houston, Tooze and Neiberg 17 ). A representative (net) sample of 8826 adults aged 20–79 years was randomly selected from population registries into twenty-four age- and sex-specific strata. In total, 4420 subjects participated in the examination of SHIP-TREND between September 2008 and September 2012. There is no individual overlap with the first SHIP cohort. The study follows the recommendations of the Declaration of Helsinki and was approved by the Ethics Committee of the University of Greifswald. For a subsample of 1000 subjects, 25(OH)D measurements were available. The same exclusion criteria as described above were applied, resulting in a study population of 750 subjects (343 men and 407 women).
The selection process for both studies is displayed in online Supplementary Fig. S1.
Measurements
Information on age, sex, socio-demographic characteristics and medical histories was gained by computer-aided personal interviews. Smoking status and physical activity were assessed by self-report. Individuals who participated in physical training during summer or winter for at least 1 h/week were classified as being physically active. Waist circumference (WC) was measured to the nearest 0·1 cm using an inelastic tape midway between the lower rib margin and the iliac crest in the horizontal plane, with the subject standing comfortably with weight distributed evenly on both feet. The measurement was taken at the level of the narrowest part of the waist. All anthropometric measurements were taken in accordance with WHO standards.
Blood samples were drawn from the cubital vein in the supine position. The samples were taken between 07.00 and 16.00 hours, and serum aliquots were prepared for immediate analysis and for storage at −80°C. Serum 25(OH)D levels were measured on the IDS-iSYS Multi-Discipline Automated Analyzer (Immunodiagnostic Systems Limited). The CV were 16·8 % at low (12 ng/ml), 13·9 % at medium (30 ng/ml) and 12·0 % at high (66 ng/ml) concentrations in SHIP-1 and 11·6, 9·1 and 10·6 % concentrations in SHIP-TREND, respectively.
Cardiopulmonary exercise testing and gas exchange variables
A symptom-limited exercise test using one calibrated electromagnetically braked cycle ergometer with an electrical seat height adjustment (Ergoselect 100; Ergoline) was performed according to a modified Jones protocol (stepwise increase in work load of 16 W/min, starting with unloaded cycling plus the ergometer-related permanent load)( Reference Jones, Makrides and Hitchcock 29 ). Gas exchange and ventilatory variables were analysed breath by breath averaged over 10-s intervals using a computer-based system. Study details are given elsewhere( Reference Koch, Schaper and Ittermann 30 ). In the absence of chest pain and electrocardiography (ECG) abnormalities, all tests were continued as symptom-limited (volitional exertion, dyspnoea or fatigue). Before the test, patients were encouraged to reach maximal exhaustion, whereas during exercise no further motivational interventions were used. All tests were performed at room temperature according to current guidelines for exercise testing, with continuous monitoring of ECG, blood pressure and O2 saturation( 31 , Reference Palange, Ward and Carlsen 32 ).
PeakVO2 was defined as the highest 10-s average of VO2 in the last minute of exercise. The VO2@AT was determined according to Wasserman et al. ( Reference Wasserman, Hansen and Sue 33 ). The determination of AT was based on non-invasive determination by gas exchange analysis by investigating the relationship of VO2 with VCO2 (V-slope method): end-tidal gas concentrations over time and ventilatory equivalents for O2 and carbon dioxide over time( Reference Wasserman, Hansen and Sue 33 ). At least two of the three methods had to conform. Maximal power output was characterised as the highest reached power in Watt at the bicycle ergometer during exercise kept for at least 20 s at peakVO2. All investigated parameters have been shown to be reliably reproducible( Reference Meyer, Westbrook and Schwaibold 34 , Reference Van Laethem, De Sutter and Peersman 35 ). Exercise duration was investigated from the start of exercise (without resting period) up to its termination.
Statistical analysis
Continuous data are expressed as medians and 25th; 75th percentiles. Nominal data are expressed as percentages. For bivariate analyses, the Kruskal–Wallis test (continuous data) or χ 2 test (nominal data) was used to compare SHIP-1 and SHIP-TREND as well as men and women. ANOVA was carried out to calculate adjusted means for CPET parameters according to 25(OH)D categories (categorisation according to quartiles). Multivariable linear regression models were performed to estimate independent associations of 25(OH)D as continuous variable with CPET parameters. To detect possible non-linear associations, models with restricted cubic splines with three knots pre-specified located at the 5th, 50th and 95th percentile, as recommended by Stone & Koo( Reference Stone and Koo 36 ), were compared by likelihood ratio test to the fit of the linear model. Normality or homogeneity of variance of the residuals was graphically checked by normal Q–Q plot or by plotting the residuals v. predicted values, respectively. No violations against the assumptions were observed. The full models were adjusted for age, sex, weight, height, physical activity, smoking, time between core examination and pulmonary function testing and month of blood sampling. A value of P<0·05 was considered statistically significant. Statistical analyses were performed with SAS 9.3 (SAS Institute Inc.).
Results
Both study populations were comparable with regard to the sex distribution, whereas SHIP-1 participants were more often smokers and had a higher WC than SHIP-TREND participants (Table 1). Furthermore, SHIP-1 individuals had lower peakVO2 and maximum power output values than SHIP-TREND individuals. With respect to 25(OH)D levels, SHIP-1 participants had on average 6 ng/ml lower values than SHIP-TREND participants. In both study populations, a clear seasonal variation in 25(OH)D level was observed (Fig. 1), with highest values in late summer through fall (August–October).
Boxplots of 25-hydroxyvitamin D levels by month in the Study of Health in Pomerania (
, SHIP-1) and SHIP-TREND (
) populations.
Descriptive statistics of the study populationsFootnote * (Medians and 25th; 75th percentiles; percentages)
SHIP, Study of Health in Pomerania; 25(OH)D, 25-hydroxyvitamin D; peakVO2, highest 10-s average of VO2 in the last minute of exercise; VO2@AT, VO2 at anaerobic threshold.
* χ 2 Test (nominal data) or Kruskal–Wallis test (interval data) was used to compare SHIP-1 and SHIP-TREND or men and women.
† Age at core examination.
ANOVA revealed significant positive associations between 25(OH)D levels and all considered CPET parameters in both the SHIP-1 and the SHIP-TREND populations (Fig. 2). In SHIP-1, estimated peakVO2, VO2@AT, O2 pulse and maximum power output were 140 ml/min, 70 ml/min, 0·85 ml and 13 W higher in the fourth compared with the first 25(OH)D quartile (P<0·05 for all outcomes), respectively. The same results were observed in SHIP-TREND with 220 ml/min, 120 ml/min, 1·3 ml and 17 W higher estimated values of peakVO2, VO2@AT, O2 pulse and maximum power output in the fourth compared with the first 25(OH)D quartile (P<0·05 for all outcomes), respectively. Linear regression analyses confirmed the ANOVA findings (Table 2, Fig. 3). Again, increasing 25(OH)D levels are accompanied by strong increasing values of peakVO2, VO2@AT, O2 pulse and maximum power output in SHIP-TREND. In SHIP-1, strong positive associations with peakVO2 and VO2@AT were observed. With regard to O2 pulse and maximum power output, non-linear relations were detected. Whereas an increase in 25(OH)D levels up to 27 ng/ml was related to a strong increase in O2 pulse and maximum power output, 25(OH)D levels >27 ng/ml were only associated with a small rise in both parameters (Fig. 3).
Estimated mean levels of highest 10-s average of VO2 in the last minute of exercise (peakVO2), VO2 at anaerobic threshold (VO2@AT), O2 pulse and maximum power output with 95 % CI by quartiles of 25-hydroxyvitamin D in the Study of Health in Pomerania (
, SHIP-1) and SHIP-TREND (
) populations. ANOVA were adjusted for age, sex, weight, height, physical activity, smoking, time between core examination and pulmonary function testing and month of blood sampling. Pair-wise comparisons were performed using the Tukey–Kramer method for multiple comparison adjustment (SHIP-1: * P<0·05; SHIP-TREND: * P<0·05).
Predicted mean of highest 10-s average of VO2 in the last minute of exercise (peakVO2), VO2 at anaerobic threshold (VO2@AT), O2 pulse and maximum power output depending on 25-hydroxyvitamin D levels for the Study of Health in Pomerania (
, SHIP-1) and SHIP-TREND (
) populations calculated by linear regression analyses with restricted cubic splines. Models were adjusted for age, sex, weight, height, physical activity, smoking, time between core examination and pulmonary function testing and month of blood sampling.
Association between 25-hydroxyvitamin D (25(OH)D) and cardiopulmonary exercise testing parametersFootnote * (β-Coefficients with their standard errors)
PeakVO2, highest 10-s average of VO2 in the last minute of exercise; VO2@AT, VO2 at anaerobic threshold; SHIP, Study of Health in Pomerania; 25(OH)DI, component of the spline function.
* The models were adjusted for age, sex, weight, height, physical activity, smoking, time between core examination and pulmonary function testing and month of blood sampling.
To assess whether the presence of co-morbidities affected the associations between 25(OH)D levels and CPET parameters, we further adjusted all models for high blood pressure (systolic>140 mmHg or diastolic>90 mmHg), total cholesterol, glycated Hb and estimated glomerular filtration rate. All additional analyses confirmed the above-mentioned results, with nearly no changes in the estimates (data not shown). Furthermore, linear regression analyses were performed separately for men and women (online Supplementary Table S1, Fig. S2 and S3). The detected strong positive associations between 25(OH)D and peakVO2, VO2@AT, O2 pulse or maximum power were confirmed among men in both study populations and among women participating in SHIP-TREND. Among women in SHIP-1, only maximum power remained significant.
Discussion
Over the last decade, increasing attention has been given to vitamin D and its broad range of effects on health status. Recent clinical and experimental studies suggest that vitamin D in addition to its crucial function in bone metabolism also could have an important role in the pathogenesis of CVD, cancer and autoimmune diseases( Reference Guessous 7 ). These findings, together with the world-wide high prevalence of vitamin D deficiency, might represent a major economic burden on the health system( Reference Grant, Schwalfenberg and Genuis 37 ). However, the positive effects shown by some meta-analyses or randomised controlled trials of vitamin D supplementation on fractures, tendency to fall or mortality( Reference Bischoff-Ferrari, Dawson-Hughes and Staehelin 8 – Reference Pludowski, Holick and Pilz 10 ) are currently a subject of controversial discussion because of the fact that recent studies partially repudiated these findings( Reference Bolland, Grey and Gamble 11 , Reference Theodoratou, Tzoulaki and Zgaga 12 ). Given the inconsistencies regarding the benefit of vitamin D on health status, additional research is needed. Few studies exploring the relationship between vitamin D and exercise capacity have been conducted. To our knowledge, this is the first cross-sectional study investigating the relationship between 25(OH)D levels and exercise capacity in two large studies of the general population with a broad age range of 25–85 years.
Former studies focused either on small groups of healthy volunteers with young( Reference Forney, Earnest and Henagan 2 , Reference Mowry, Costello and Heelan 13 ) or old( Reference Mathei, Van Pottelbergh and Vaes 3 , Reference Houston, Cesari and Ferrucci 15 – Reference Toffanello, Perissinotto and Sergi 19 , Reference Dam, von Muhlen and Barrett-Connor 38 ) subjects, as well as clinical cohorts( Reference Boxer, Kenny and Cheruvu 20 – Reference Ferrari, Schenk and Papadopoulou 23 ). Our analyses revealed significant positive relations between 25(OH)D levels and CPET parameters including peakVO2, VO2@AT, maximum power output and O2 pulse in SHIP-1. These results were replicated in SHIP-TREND – a second independent large population.
Previous studies, investigating the association between 25(OH)D levels and physical performance, either used CPET or alternative methods – for example, the SPPBT. In concordance with our results regarding peakVO2 ( Reference Forney, Earnest and Henagan 2 , Reference Mowry, Costello and Heelan 13 , Reference Ardestani, Parker and Mathur 14 ) positive correlations between 25(OH)D levels and aerobic-exercise capacity quantified by VO2max or by treadmill test( Reference Forney, Earnest and Henagan 2 , Reference Mowry, Costello and Heelan 13 , Reference Ardestani, Parker and Mathur 14 ) were found. Although the above-mentioned studies have measured the relative VO2max, our study focused on the peakVO2. The peakVO2 indicates the amount of O2 that can be absorbed by the body per min, whereas the relative VO2max indicates the O2 absorption in relation to the body weight of the respective subjects. However, because of the fact that all presented statistical analyses were adjusted, among others factors, for both the body size and weight, the results reflect the same issue. Unfortunately, only one of these studies performed sex-specific analyses( Reference Forney, Earnest and Henagan 2 ) and detected an association between 25(OH)D and peakVO2 in men but not in women. In the present study, however, sex-specific analyses showed a positive association in both sexes. One possible explanation might be the relatively low number of included subjects (n 19 women) in the previously performed study( Reference Forney, Earnest and Henagan 2 ).
The present study also showed significant positive associations between 25(OH)D and VO2@AT, maximum power output, as well as O2 pulse. In contrast to these findings, one previous study( Reference Forney, Earnest and Henagan 2 ), among thirty-nine healthy subjects, found no differences in anaerobic power or strength parameters including bench press, leg curl, leg extension or vertical jump in relation to 25(OH)D status. The different sample sizes and investigation methods might be reasons for the inconsistent results( Reference Forney, Earnest and Henagan 2 ).
Further studies using the SPPBT, as well as static balance, gait speed or grip strength( Reference Mathei, Van Pottelbergh and Vaes 3 , Reference Ceglia 4 , Reference Houston, Cesari and Ferrucci 15 – Reference Toffanello, Perissinotto and Sergi 19 ), showed consistently positive associations between 25(OH)D levels and physical performance in healthy volunteers. Only one study examining 367 subjects with a mean age of 84·7 years did not confirm the above-mentioned results and revealed no relation between 25(OH)D and gait speed, grip strength or balance( Reference Mathei, Van Pottelbergh and Vaes 3 ). A possible explanation might be the older age of the study population.
In addition to the above-mentioned studies among healthy subjects, there are also few investigations among patients with congestive heart failure( Reference Boxer, Kenny and Cheruvu 20 ), renal failure( Reference Petchey, Howden and Johnson 21 ) or COPD( Reference Bjerk, Edgington and Rector 22 , Reference Ferrari, Schenk and Papadopoulou 23 ). Among patients with renal failure( Reference Petchey, Howden and Johnson 21 ) or COPD( Reference Ferrari, Schenk and Papadopoulou 23 ), positive associations between 25(OH)D levels and peakVO2 determined by treadmill testing( Reference Petchey, Howden and Johnson 21 ) or bicycle ergometer( Reference Ferrari, Schenk and Papadopoulou 23 ) were observed. In addition, among forty subjects with heart failure( Reference Boxer, Kenny and Cheruvu 20 ), 25(OH)D levels were positively related to peakVO2. However, in the latter study, no association between 25(OH)D levels and muscle strength as a key factor of physical performance became apparent. The authors concluded that randomised controlled trials are needed to assess the effect of vitamin D on physical performance( Reference Boxer, Kenny and Cheruvu 20 ). In the following, the effect of vitamin D administration on SPPBT was examined over a period of 6 weeks among thirty-six male COPD patients with a mean age of 68 years( Reference Bjerk, Edgington and Rector 22 ). Even though an increase in mean levels of 25(OH)D from 22·6 to 32·6 ng/ml was observed, no change in the SPPBT score was found, which led to the conclusion that vitamin D supplementation has no notable influence on physical performance( Reference Bjerk, Edgington and Rector 22 ).
With respect to the testing methods, the majority of the mentioned studies among healthy subjects( Reference Mathei, Van Pottelbergh and Vaes 3 , Reference Ceglia 4 , Reference Houston, Cesari and Ferrucci 15 – Reference Toffanello, Perissinotto and Sergi 19 , Reference Dam, von Muhlen and Barrett-Connor 38 ), as well as the study among COPD patients( Reference Bjerk, Edgington and Rector 22 ), applied testing methods (static balance, gait speed, grip strength, surveys) that do not provide information on performance parameters (peakVO2, VO2@AT, O2 pulse, maximum power output). All of these test methods, which are common practice in predominantly geriatric patients, focus mainly on balance and interpret the muscle strength in the lower extremities but do not provide information about endurance capacity. Given the methodological differences used to assess physical performance (SPPBT, treadmill testing or bicycle ergometer) in previous studies, caution should be used when interpreting and comparing results across studies. The use of CPET( Reference Forney, Earnest and Henagan 2 , Reference Mowry, Costello and Heelan 13 , Reference Ardestani, Parker and Mathur 14 , Reference Boxer, Kenny and Cheruvu 20 , Reference Ferrari, Schenk and Papadopoulou 23 ) reflects the function of balance or muscle strength in the lower extremities, and it also provides information on the cardiovascular and respiratory system and thus represents a benchmark for physical performance( Reference Walker, Hall and Hurst 39 ). The only study investigating( Reference Bjerk, Edgington and Rector 22 ) the influence of vitamin D supplementation on physical performance used the SPPBT and did not find any positive effect. However, future studies using CPET are needed to draw conclusions on the effect of vitamin D supplementation on physical performance.
There are several possible explanatory approaches for the positive relation of 25(OH)D levels and exercise capacity: a first explanation might be that subjects with high 25(OH)D levels spend their leisure time actively outside and are therefore more physically active. However, it must be also noted that people who spend a lot of time outdoors can still suffer from a lack of 25(OH)D because of the use of sunscreen. Nevertheless, outdoors the UV exposition is higher and sunscreen does not provide 100 % UV protection, but merely extends the self-protection time of the skin in the sun. A second explanation might be seen in the role of 25(OH)D in the musculoskeletal system( Reference Shuler, Wingate and Moore 25 ). A sufficient vitamin D supply likely optimises the work of type II muscle fibres, which are responsible for maximal physical endurance( Reference Ceglia 4 , Reference Shuler, Wingate and Moore 25 ). Finally, a study reported that the vitamin D receptor (VDR) is present in human muscle tissue( Reference Ceglia 4 ). 25(OH)D binds to the VDR, which eventually leads to a de novo protein and muscle synthesis( Reference Bjerk, Edgington and Rector 22 ), as well as the transcription of ATP( Reference Petchey, Howden and Johnson 21 , Reference Shuler, Wingate and Moore 25 ) – both being important factors for physical performance. Therefore, it is possible that subjects with higher 25(OH)D levels accomplish a better performance by improved muscular work than vitamin D-deficient subjects.
During the past decades, several investigations proved that physical activity and exercise capacity represent independent predictors of mortality. These findings were mainly observed in large patient cohorts including subjects, for example, with coronary artery disease( Reference Coeckelberghs, Buys and Goetschalckx 40 ), CVD( Reference Myers, Prakash and Froelicher 41 ), type 2 diabetes mellitus( Reference Seyoum, Estacio and Berhanu 42 ) or cardiopulmonary disease( Reference Oliveira, Myers and Araujo 43 ). However, also in subjects without CVD, a low exercise capacity was related to a higher mortality risk as for example, shown among 2534 individuals with normal exercise-test result and no history of CVD( Reference Myers, Prakash and Froelicher 41 ), 506 veterans without cardiopulmonary disease( Reference Oliveira, Myers and Araujo 43 ) or 44 691 subjects without hypertension( Reference Vigen, Ayers and Willis 44 ). Even if these studies were based on different methods to assess exercise capacity (treadmill or cycle ergometer) and used different parameters such as peakVO2 ( Reference Coeckelberghs, Buys and Goetschalckx 40 , Reference Seyoum, Estacio and Berhanu 42 , Reference Oliveira, Myers and Araujo 43 ), treadmill time( Reference Vigen, Ayers and Willis 44 ) or metabolic equivalents( Reference Myers, Prakash and Froelicher 41 ), the findings clearly showed that exercise capacity is a powerful predictor of CVD and mortality. Therefore, a preserved exercise capacity in patients with CVD, as well as the general population, might be a useful tool to decrease CVD morbidity and to improve mortality.
The major strength of the present study represents the large number of subjects investigated within a highly standardised setting. In addition, we succeeded in replicating the findings in an independent large population. The technique applied for physical performance testing demonstrates a further strength. In contrast to former studies using treadmill stress testing for example, we were able to investigate additional parameters beyond peakVO2, including VO2@AT, O2 pulse and maximum power. Nevertheless, our study is limited by its cross-sectional design, which is not suitable to prove causal relations. Even if a statistically significant association between 25(OH)D and exercise capacity cannot be denied on the basis of our results, however, longitudinal studies, as well as interventional studies, are particularly necessary in order to prove that 25(OH)D is causally associated with exercise capacity. Furthermore, limitations that should be taken into account by the interpretation of the present study are that factors such as nutritional habits, which might influence the 25(OH)D levels as shown before( Reference Joh, Lim and Cho 45 ), were not considered because of the lack of reliable data and the partly high CV of the 25(OH)D assay used.
In conclusion, although the exact mechanism remains undetermined to some degree, in the present study we detected positive associations between 25(OH)D levels and parameters of physical performance among healthy subjects over a broad age range and replicated the results in an independent population. Interventional studies are needed to investigate whether vitamin D supplementation leads to improvement in physical performance and therefore could contribute to health care in the general population.
Acknowledgements
This work was funded by grants from the German Federal Ministry of Education and Research (BMBF, grants 01ZZ0403, 01ZZ0103, 01GI0883), the Ministry for Education, Research and Cultural Affairs, as well as the Ministry of Social Affairs of the Federal State of Mecklenburg-West Pomerania. This work is also part of the research project Greifswald Approach to Individualized Medicine (GANI_MED). The GANI_MED consortium is funded by the Federal Ministry of Education and Research and the Ministry of Cultural Affairs of the Federal State of Mecklenburg-West Pomerania (03IS2061A).
Formulating the research question: A. K., N. F.; designing the study: M. N., S. B. F., R. E.; conducting the study: S. G., T. B., C. S.; data analysis: N. F.; writing the article: A. K., S. G., A. H., N. F.
The authors declare that there are no conflicts of interest.
Supplementary material
For supplementary material/s referred to in this article, please visit http://dx.doi.org/doi:10.1017/S000711451500464X
