Abstract
Background
Vitamin D deficiency has been linked to poor muscle function, cartilage degeneration, and the development of knee osteoarthritis. However, the impact of serum 25-hydroxyvitamin D [25(OH)D] level on quadriceps muscle strength remains inconclusive, largely due to variations in study designs, differences in study populations, and the influence of confounding factors such as co-supplementation with other vitamins. The existing literature presents mixed findings, highlighting the need for a comprehensive evaluation of the available evidence.
Purpose
This systematic review and meta-analysis aim to summarise.
Study design
Systematic review; Level of evidence, 4.
Methods
Searches were conducted using Medline (Ovid), Embase (Ovid), CINAHL (EBSCOhost), and SPORTDiscus (EBSCOhost), which aimed to summarise recent (published after 2000 and before March 1st, 2024) studies reporting the effects of serum 25(OH)D levels on quadriceps strength. Appraisal tool for Cross-Sectional Studies (AXIS) for cross-sectional studies and Quality in Prognosis Studies (QUIPS) for longitudinal studies. Results from the AXIS and QUIPS tools were used for GRADE quality assessment. The review was carried out using PRIMSA guidelines and registered in PROSPERO (ID: CRD42022313240).
Results
Four hundred studies were screened and 28 studies with 5752 participants were included. 28 published studies (24 cross-sectional and 4 longitudinal) were identified. Key results supported the significant positive correlation between serum 25(OH)D levels and isokinetic quadriceps strength at 180°/s in elderly and athletic populations with a correlation coefficient of 0.245 (95%CI: 0.078–0.398, p = 0.004). However, no significant correlation was found with isometric quadriceps strength or isokinetic strength at 60°/s (r = 0.190, p = 0.085). There was only a weak negative correlation with MVC.
Conclusion
This review found a statistically significant positive correlation between serum 25(OH)D levels and isokinetic quadriceps strength. This has important clinical implications, especially in the elderly cohort, with higher 25(OH)D levels being associated with a reduced incidence of falls and fragility fractures.
Supplementary Information
The online version contains supplementary material available at 10.1186/s13102-024-01007-z.
Keywords: 25-hydroxyvitamin D, Quadriceps strength, Anterior cruciate ligament reconstruction, Meta-analysis
What is known about the subject
Previous research has established that low serum 25(OH) D level is associated with muscle weakness. But how it negative influences quadricep strength is incomprehensive. This deficiency has been linked to poorer recovery in lower extremity function and an increased rate of revision ACL surgery. However, the broader implications of vitamin D deficiency on muscle strength and recovery outcomes are still not fully understood.
What this study adds to existing knowledge
Serum 25(OH)D levels showed a statistically significant positive correlation with isokinetic quadriceps strength in elderly and athletic populations.
Introduction
Vitamin D is a fat-soluble vitamin that has an important role in musculoskeletal health. Vitamin D is either synthesised in the skin after sun exposure or ingested in food, with the former accounting for 80% of vitamin D stores in the body [1]. In both cases, vitamin D is hydroxylated in the liver to 25-hydroxyvitamin D (25(OH)D), and then in the kidneys to its active form, 1,25-dihydroxyvitamin D (calcitriol). Calcitriol activates the vitamin D receptor (VDR) in cells to exert its function. The measurement of serum 25(OH)D levels is a common way to assess vitamin D status. Defined as a 25(OH)D level < 25 nmol/L [2], vitamin D deficiency leads to rickets in children and osteomalacia in adults [2]. There has been a rapidly expanding array of literature discussing the effect of vitamin D deficiency and poor muscle functioning. Studie have shown that a large number of VDRs are expressed in myocytes, allowing the uptake of calcitriol, whose effects are mediated by genomic and non-genomic mechanisms [3].
Patients with severe vitamin D deficiency show muscle atrophy before any signs of osteomalacic bone involvement [4]. Observational studies have shown an association between 25(OH)D levels, muscle strength, and physical function, with most suggesting a positive effect of vitamin D [5–9]. A deficiency in vitamin D has been shown to impair muscle action and lead to sarcopenia as well as decreased muscle strength [10, 11].
Vitamin D is closely related to skeletal muscle function by associated with the large number of VDRs found there [12]. It can regulate its downstream pathways that have been observed to influence the proliferation and differentiation of skeletal muscles and in the inhibition of apoptosis [13]. In addition, vitamin D also affect the diameter and number of type II muscle fibres, which was regarded as faster muscle contraction fibres [14]. It may result in type II muscle atrophy, subsequently influence the performance of short high-power exercises. This is mainly observed in the elderly [15].
Current evidence does not provide a comprehensive understanding of the effect of vitamin D deficiency on quadriceps muscle strength, primarily due to significant variations in study design, study populations, and the presence of confounding factors such as co-supplementation with other vitamins. These inconsistencies make it challenging to draw definitive conclusions. However, given the recent promising findings in the field [16, 17], there is a clear need for a quantitative meta-analysis to consolidate the existing evidence. Such an analysis could offer valuable insights into the pathogenesis and management of knee osteoarthritis (OA) and potentially improve the success rate and recovery outcomes for patients undergoing anterior cruciate ligament reconstruction (ACLR) surgery. This review aims to summarise the available data and establish a clearer relationship between serum 25-hydroxyvitamin D (25(OH)D) levels and quadriceps strength.
Methods
This review was carried out according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statement protocol and registered in the International prospective register of systematic reviews (PROSPERO) (ID: CRD42022313240) [18].
Selection criteria
Studies that measured serum concentrations of 25(OH)D as an indicator of vitamin D status were included. Studies using other types of vitamin D indicators such as 1,25- dihydroxyvitamin D or dietary intake of vitamin D were excluded. Studies with participants receiving any form of vitamin D supplementation or exercise training as interventions were excluded.
Studies evaluating the following outcome measures were included:
Knee isokinetic measurement at any angular velocity
Quadriceps isometric measurement at any knee flexion angle
Quadriceps maximal voluntary contraction (MVC)
Quadriceps muscle size
Studies with functional measurements not specific to quadriceps (or knee extensor muscles) were excluded.
Search algorithm
Four databases were searched from inception to March 1st 2024. Medline (Ovid), Embase (Ovid), CINAHL (EBSCOhost) and SPORTDiscus (EBSCOhost) without any language or year restrictions. The search contained the following terms and their synonyms: ‘vitamin D’, ‘isometric’, ‘quadriceps’, ‘muscle strength’. The full search is shown in Additional File 1. A snowball search was performed, whereby references of included studies, and studies that cited any of the included studies were also searched. Search results were imported into EndNote™20. After deduplication, two reviewers initially screened the title and abstract of each study. Potentially eligible studies were then retrieved for screening in full text, based on the inclusion and exclusion criteria provided in Additional File 2. A third reviewer was contacted for unresolvable disagreements.
Data extraction
Data were extracted into tables created in a standardised excel spreadsheet, which were used for evidence synthesis, risk of bias analysis, and quality assessment. From each study, the following data were extracted:
Study characteristics
Patient demographics
Isokinetic measurement, isometric measurement, maximal voluntary contraction, and muscle size
Data analysis
Quantitative data that were comparable across studies were selected for meta-analysis, such as isokinetic quadriceps strength, isometric quadriceps strength, MVC, and muscle size. Meta-analyses were carried out using MedCalc. As we anticipated considerable between-study heterogeneity, a random-effects model was used. The inverse-variance method was used to pool effect sizes. Where it was not provided, standard deviations were estimated using the Wan et al. [19] estimator, allowing the standard deviation to be estimated form the mean, median, or sample size. Section 7.7.3.3 of the Cochrane Handbook was utilised when estimating the standard deviation from the p-value [20]. Where data was incomplete, the corresponding author of the respective study was contacted by email. Higgins and Thompson’s I2 statistic [21] and Cochran’s Q test [22] were used as measures of heterogeneity. Subgroup analyses were performed according to athletic status (athlete vs non-athlete, sample size = 191), mean age (> 60 vs < 60 years, sample size = 371), isokinetic outcomes at 60o/s, and isokinetic outcomes at 180o/s.
Risk of bias
Two reviewers independently assessed the risk of bias using the Appraisal tool for Cross-Sectional Studies (AXIS) for cross-sectional studies and Quality in Prognosis Studies (QUIPS) for longitudinal studies. The former is a twenty item critical appraisal tool addressing study design as well as risk of bias [23]. The latter consists of items organised into six categories, with each using a three point Likert scale – low, moderate, or high risk of bias [24]. Results from the AXIS and QUIPS tools were used for GRADE quality assessment [25] to judge the quality of evidence on a four-point Likert scale – very low, low, moderate, and high. Randomised controlled studies (RCT) were given an initial rating of ‘high’, whereas non-RCTs were given an initial rating of ‘low’. Five criteria were used to downgrade studies: risk of bias, consistency, directness, precision, and publication bias; three criteria were used to upgrade studies: magnitude of effect, dose response, and effect of confounding factors [26].
Results
A total of 639 studies were identified from bibliographic databases. Following de-duplication, 400 studies were included for the title and abstract screening. Full texts were obtained for 36 studies, from which 28 studies were included for data analysis. The snowball search identified 3343 studies, but no further studies were eligible for inclusion. Figure 1 presents the PRISMA flowchart.
Study characteristics
Twenty-eight studies were published between 2002 and 2021, including 5,752 participants with mean ages ranging from 20.8 to 85.2 years (Additional File 3). Twenty-four (86%) studies were cross-sectional studies, and the remaining were longitudinal studies. The geographical distribution of included studies is as follows: European countries (n = 7) [27–33], USA (n = 7) [11, 34–39] or UK (n = 6) [9, 40–44], followed by Middle East countries (n = 4) [45–48], Australia, (n = 2) [49, 50] and 1 each from Brazil [51] and Korea [52]. The overall serum 25(OH)D concentration level ranged from 7.7 to 45.43 ng/mL. Results for specific geographical regions were similar: European countries (10.5 – 42.4 ng/mL), USA (16.3—45.43 ng/mL), UK (9.64 – 31.56 ng/mL) and Middle East countries (7.7 – 39.4 ng/mL).
Among the twenty-eight included studies, ten reported IK measurements [11, 32, 33, 39, 45–48, 51, 52], thirteen reported IM measurements [11, 27, 29–31, 35–38, 42, 44, 49, 50], four reported MVC measurements [9, 28, 40, 41], and four reported muscle size measurements [34, 40, 43, 48]. Three studies reported multiple outcome measures [11, 40, 48]. Regarding the model of dynamometer used, 80% of the studies used Biodex 3 [11, 32, 46–48, 51] or 4 [33, 39] (n = 8) to measure IK, whilst the remaining two studies used Cybex 770 Norm [45] and CSMI medical solutions [52]. A variety of brands were used for IM measurements, including Biodex (n = 1) [11], Cybex (n = 1) [29], Good Strength (n = 1) [31], TTM Muscular Meter (n = 1) [50], Litek Isometric Chair (n = 1) [35], Horizontal Plyo-Press (n = 1) [37], CSMI Humac Norm (n = 2) [42, 44], customised brands [30, 36, 38], and two handhelds versions (model 160 [27] and Lafayette Nicholas Manual Muscle Tester model 01163 [49]). Biodex (n = 1) [41], Cybex NORM (n = 1) [40] and customised (n = 2) [9, 28] equipment were used to measure MVC (Tables 1 and 2).
Table 1.
Study | Study Design |
Outcome Measures |
Study population | Gender | Location | Age (mean ± SD) | Sampling Source |
25(OH)D measurement, results |
---|---|---|---|---|---|---|---|---|
Dhesi et al., 2002 | CSS | MVC | n = 80 | N/A | England |
Group 1 (n = 20): 77.5 ± 5.4 Group 2 (n = 20): 72.4 ± 4.6 Group 3 (n = 20): 75.9 ± 5.9 Control (n = 20): 74.0 ± 4.2 |
Mixed |
IDS Gamma-B 25OH Immunoassay, Group 1 (fall + < 12 μg/L, n = 20): 9.8 ± 2.2 μg/L Group 2 (fall + 12–17 μg/L, n = 20): 13.9 ± 1.7 μg/L Group 3 (fall + > 17 μg/L, n = 20): 23.6 ± 5.8 μg/L Control (healthy + > 17 μg/L, n = 20): 22.8 ± 5.7 μg/L |
Zamboni et al., 2002 | CSS | IM | n = 269 | 94 M, 175 F | Italy |
Men: 71.8 ± 2.1 Women: 71.9 ± 2.4 |
Community |
Radioimmunoassay, Men: 56.5 ± 37.5 nmol/L Women: 39.4 ± 24.1 nmol/L |
Annweiler et al., 2009 |
CSS | MVC | n = 440 | 0 M, 440F | France | 80.1 ± 3.5 | Community |
Radioimmunoassay, 17.4 ± 10.5 ng/mL |
Dretakis et al., 2010 | CSS | IM | n = 48 | 13 M 35F | Greece |
Male: 73.8 ± 5.1 Female: 70.0 ± 4.5 |
Community |
Enzyme Immunoassay Serum IDS OCTEIA 25-OH vitamin D kit, Male: 76.00 ± 34.73 nmol/L Female: 49.11 ± 29.78 nmol/L |
Bredella et al., 2011 | CSS | MS | n = 68 | 0 M 68F | USA | 35.9 ± 6.7 | Community |
IDS-iSYS Automated Analyser based on Chemiluminescence, 24.1 ± 15.2 ng/mL |
Houston et al., 2011 | CSS | IM | n = 988 | 351 M 637F | 85.2 ± 3.2 | Community |
LC-TMS, < 20 ng/mL: 30.8% 20—< 30 ng/mL: 35.9% ≥ 30 ng/mL: 33.3% |
|
Marantes et al., 2011 | CSS | IM | n = 667 | 311 M 356F | USA |
Men: 56.3 ± 18.5 Women: 57.2 ± 17.7 |
Community |
Radioimmunoassay, Men: 23.0 ± 8.2 ng/mL Women: 22.1 ± 10.0 ng/mL |
Stockton et al., 2012 | CSS | IM | n = 45 | 0 M 45F | Australia |
SLE (n = 24): 39.6 ± 11.4 Control (n = 21): 40.9 ± 13.3 |
Mixed |
LIAISONÕ 25 OH Vitamin D TOTAL Assay by Chemiluminescent Immunoassay Technology, 68.4 ± 22.4 nmol/L |
Barker et al., 2013 | CSS | IM | n = 14 | 9 M 5F | USA | 32.0 ± 1.0 | Not described |
High Performance-LC, Upon enrolment: 28.0 ± 2.5 ng/mL > 32 ng/mL: 36%; < 32 ng/mL: 64% < 20 ng/mL: 21%; < 10 ng/mL: 7% |
Grimaldi et al., 2013 | CSS | IK/ IM | n = 419 | 205 M 214F | USA | 44.0 ± 16.1 | Institutional |
Enzyme-Linked Immunosorbent Assay, 33.6 ng/mL |
Salacinski et al., 2013 | CSS | IM | n = 38 |
18 M 20F |
USA |
Crohn’s (n = 19): 44.2 ± 10.3 Control (n = 19): 41.7 ± 11.2 |
Mixed |
Radioimmunoassay (High-Performance LC), High (n = 12): 45.4 ± 1.4 ng/mL Low (n = 19): 25.3 ± 1.1 ng/mL |
Barker et al., 2014 | CSS | IK | n = 56 | 25 M 31F | USA | 48.0 ± 1.0 | Institutional |
Chemiluminescent immunoassay, 25.8 ± 1.1 ng/mL |
Civelek et al., 2014 | CSS | IK | n = 49 | 0 M 49F | Turkey |
Median: 64.3 Interquartile range: 59.0—69.5 |
Community |
Shimadzu Prominence High- Performance LC, Deficient (< 20 ng/mL): 49.0% Normal (≥ 20 ng/mL): 51.0% |
Hamilton et al., 2014 | CSS | IK | n = 342 |
342 M 0F |
Qatar | 24.4 ± 8.3 | Institutional |
Chemiluminescent Immunoassay Technology (Liaison® 25-OH Vitamin D total Assay), 20.7 ± 10.8 ng/mL |
Rolighed et al., 2014 | CSS | IM | n = 106 | 20 M 86F | Denmark |
PHPT (n = 58): 55.7 – 61.6 Control (n = 58): 55.8 – 61.7 |
Mixed |
Isotope Dilution LC-TMS, PHPT: 57.6 nmol/L (53.3 – 61.8) Control: 59.1 nmol/L (52.7 – 65.6) |
Salminen et al., 2015 |
CSS | IM | n = 518 | 79 M 439 F | Finland | 72.8 ± 5.7 | Community |
OCTEIA Immune-Enzymo-Metric Assay, 65.2 ± 17.2 nmol/L |
Yumrutepe et al., 2015 | CSS | IK | n = 147 | 137 M 10F | Turkey |
COPD (n = 90): 60.2 ± 7.8 Control (n = 57): 58.9 ± 6.4 |
Mixed |
Radio-Immunometric Assay, COPD: 14.5 ± 11.1 ng/mL Control: 16.8 ± 10 ng/mL |
Almurdhi et al., 2016 | CSS | MVC/ MS | n = 40 | 28 M 12F | UK |
T2DM (n = 20): 63.1 ± 10.8 Control (n = 20): 61.5 ± 6.0 |
Not described |
T2DM: 72.6 ± 43.5 nmol/L Control: 78.9 ± 48.8 nmol/L |
Brannstrom et al., 2017 | CSS | IK | n = 19 | 0 M 19F | Sweden | 15.3 ± 0.7 | Institutional |
Automatic Immune Analyser, 50.5 ± 12.8 nmol/L |
Brech et al., 2017 |
CSS | IK | n = 63 | 0 M 63F | Brazil | 60.6 ± 3.1 |
Not described |
LIAISON® 25OHD Total Assay kit, 24.2 ± 9.2 ng/mL |
Kara et al., 2017 | CSS | IK/ MS | n = 30 | 3 M 27F | Turkey |
Group I (n = 15): 44.4 ± 9.4 Group II (n = 15): 39.0 ± 9.9 |
Institutional |
Chemiluminescence Microparticle Immunoassay Method, Group I: 9.4 ± 2.5 ng/mL Group II: 20.7 ± 8.3 ng/mL |
Jamil et al., 2017 | LS | MVC | n = 71 | 30 M 41F | UK | 28.6 ± 6.5 | Community |
Dual TMS, 28.8 ± 20.5 nmol/L |
Balogun et al., 2018 | LS | IM | n = 1033 | 506 M 527F | Australia | 63.0 ± 7.4 | Community |
Liquid-Phase Radioimmunoassay, 52.6 ± 18.7 nmol/L |
Książek et al., 2018 | CSS | IK | n = 25 | 25 M 0F | Poland | 21.9 ± 9.8 | Institutional |
Electrochemiluminescence using Elecsys System, 17.4 ± 5.2 ng/mL |
Kim et al., 2020 | CSS | IK | n = 36 | 36 M 0F | Korea | 22.6 ± 3.2 | Institutional |
High-Performance LC-TMS Detection, 24.7 ± 7.2 ng/mL |
Wilson- Barnes et al., 2020 | LS | IM | n = 47 | 31 M 16F | UK |
Outdoor (n = 22): 21.0 ± 1.8 Indoor (n = 25): 20.0 ± 1.4 |
Institutional |
LC (nmol/L), Outdoor, autumn: 54.3 ± 25.3; Indoor, autumn: 57.7 ± 22.0; Outdoor, spring: 31.0 ± 17.5; Indoor, spring: 31.0 ± 16.1 |
Watson et al., 2021 | CSS | MS | n = 34 | 15 M 19F | UK | 61.0 ± 12.0 | Institutional |
LC-TMS, Full Cohort: 10.8 ng/mL (7.9 – 18.0) |
Wilson- Barnes et al., 2021 |
LS | IM | n = 50 | 24 M 26F | UK | 22.0 ± 3.3 | Mixed |
LC-TMS, Spring: 46.7 ± 20.9 nmol/L Summer: 63.1 ± 17.3 nmol/L |
LS longitudinal study, CSS cross-sectional study, IM isometric, IK isokinetic, MVC maximal voluntary contraction
Table 2.
Correlation between serum 25(OH)D levels and: | No. of Studies | No. of Participants | Correlation Coefficient | 95% CI | p value | I2 value |
---|---|---|---|---|---|---|
IK measurement in any angular velocities | 5 | 401 | 0.261 | 0.151 to 0.364 | < 0.001 | 15.7% |
IM measurement in any angle of knee flexion | 4 | 1550 | 0.084 | -0.103 to 0.265 | 0.378 | 84.4% |
MVC measurement | 2 | 511 | -0.033 | -0.120 to 0.054 | 0.454 | 0% |
IK measurement in athletic populations | 3 | 191 | 0.229 | 0.083 to 0.366 | 0.002 | 0% |
IM measurement in elderly populations | 3 | 1494 | 0.301 | 0.160 to 0.429 | < 0.001 | 76.6% |
IK measurement at 60°/s | 2 | 122 | 0.190 | -0.027 to 0.390 | 0.085 | 26.4% |
IK measurement at 180°/s | 2 | 140 | 0.025 | 0.078 to 0.398 | 0.004 | 0% |
IK isokinetic, IM isometric, MVC maximal voluntary contraction, CI confidence interval
Meta-analysis findings
Out of the 28 included studies, twelve studies [27–30, 32, 33, 37, 41, 47, 50–52] reported the correlation coefficient between serum 25(OH)D levels and muscle strength parameters: isokinetic quadriceps strength (IK); isometric quadriceps muscle strength (IM), and MVC measurements. One study [30] did not report correlation coefficients in a form that could be meta-analysed; the corresponding author was contacted but no response was received. Amongst the remaining eleven studies that were included in the meta-analysis, five studies [32, 33, 47, 51, 52] containing 401 participants reported the correlation between serum 25(OH)D levels and IK measurements at any angular velocity (Fig. 2). In terms of correlation strength, we used standard guidelines where a correlation coefficient (r) between 0.10 and 0.29 is considered weak or low, 0.30 to 0.49 is considered moderate, and values of 0.50 or above are deemed strong [53]. A statistically significant positive correlation was found (r = 0.261, p < 0.001, 95% CI: 0.151 – 0.364), with low between-study heterogeneity (I2 = 15.7%). The quality of evidence was low since only observational studies were included (Additional File 4). Although a small number of studies in our meta-analysis reported relatively low correlations, it is important to note that the majority of the evidence supports a positive relationship between 25(OH)D and muscle strength across various velocities. This suggests that while the strength of correlation may vary, there remains a consistent trend that supports our conclusion regarding the role of 25(OH)D in quadricep isokinetic strength.
Four studies [27, 29, 37, 50] containing 1550 participants reported a weak positive correlation between serum 25(OH)D levels and IM measurements in any knee flexion angle (Fig. 3) (r = 0.084, p = 0.378, 95% CI: -0.103 – 0.265). The between-study heterogeneity was high (I2 = 84.4%) and the quality of evidence was very low due to inconsistency of reported results and significant heterogeneity. There were large variations in effect estimates across studies and effects in opposite directions (i.e. positive and negative correlations).
Two studies containing 511 participants reported a weak negative correlation between serum 25(OH)D levels and MVC measurements (Fig. 4) (r = -0.033, p = 0.454, 95% CI: -0.120 – 0.054). The between-study heterogeneity was low (I2 = 0%), however the quality of evidence was very low due to study limitations, imprecision, and possible publication bias.
Subgroup analyses
Regarding studies that reported IK measurements, three [32, 33, 52] recruited elite athletes as participants, including Swedish soccer players at the highest national soccer level from their age categories (with 11.0 ± 2.6 training hours per week) [32], sportsmen from the Polish national Judoist team (with mean career duration 11.5 ± 3.9 years) [33] and members of team Samsung Thunders in the Korean basketball league [52]. Using data from these three studies, a weak-positive correlation was found between serum 25(OH)D and IK measurements (Fig. 5) (r = 0.229, p = 0.002, 95% CI: 0.0828 – 0.366). The between-study heterogeneity was low (I2 = 15.7%) and quality of evidence was low.
Amongst the four studies reporting IM measurements included in the meta-analysis, three included participants with a mean age over 60 years old [27, 29, 50]. A moderate positive correlation between 25(OH)D and IM measurements in this age group was found (Fig. 6) (r = 0.301, p < 0.001, 95% CI: 0.160 – 0.429). The between-study heterogeneity was high (I2 = 76.6%) and the quality of evidence was very low due to inconsistency in the results, publication bias, and significant heterogeneity. There were large variations in the degree to which the outcome was affected.
Subgroup analyses were performed for the correlation between serum 25(OH)D levels and IK measurements at 60°/s and 180°/s. The former included results from two studies [33, 52], with a correlation coefficient of 0.190 (Fig. 7) (95% CI: -0.0266 – 0.390; p = 0.085). There was low between-study heterogeneity (I2 = 26.4%) and the quality of evidence was very low due to inconsistency in the results, with the 95% CI including effects in opposite directions. The latter included results from two studies [33, 47], with a correlation coefficient of 0.245 (Fig. 8) (95% CI: 0.078 – 0.398; p = 0.004). There was low between-study heterogeneity (I2 = 26.4%) and the quality of evidence was very low due to inconsistency and publication bias.
Qualitative analysis of studies not included in meta-analysis
Seventeen studies [9, 11, 30, 31, 34–36, 38–40, 42–46, 48, 49] did not report correlation coefficients that could be meta-analysed and therefore were not included in the quantitative analysis. Despite performing statistical analyses between vitamin deficient and control groups, qualitative analyses could not be performed since there is no standardised guideline to compare cohorts with different vitamin D statuses [54–57]. Two studies utilised cohorts with the same 25(OH)D statuses (< 10 ng/mL, 10–20 ng/mL, 20–30 ng/mL, > 30 ng/mL) but reported different outcome measures (IK [46] and IM [42]). Three studies utilised cohorts with similar 25(OH)D statuses [31, 35, 39] (< 20 ng/mL, 20–30 ng/mL, ≥ 30 ng/mL), but were not directly comparable. While most studies included a < 20 ng/ml cohort [31, 35, 39, 42, 44–46], others used the median 25(OH)D value in their study as a cut-off point [48], or a value that has a correlation with serum parathyroid hormone (PTH) secretion [9].
Amongst the seventeen studies not included in the meta-analysis, five studies presented IK measurements [11, 39, 45, 46, 48]. Three of them showed statistically significant differences (p < 0.05) between their cohorts [39, 46, 48]. Nine studies presented IM measurements [11, 30, 31, 35, 36, 38, 42, 44, 49], of which five showed statistically significant differences between their cohorts [11, 31, 35, 38, 42]. Grimaldi et al. [11] reported both IK and IM measurements. The remaining four studies presented MVC measurements [9, 34, 40, 43], none of which reported statistically significant findings. Four studies investigated the correlation between serum 25(OH)D levels and muscle size parameters, such as quadriceps cross-sectional area (CSA) [34, 43], quadriceps volume [40, 43], thickness [48], and muscle density [34]. Although all studies reported a positive correlation, none of them were statistically significant.
One study [46] that reported IK measurements recruited an athletic population (members of the Qatar premier “Star” League football division), with measurements performed at 60˚/s and 300˚/s on both legs. Between the four cohorts stratified by serum 25(OH)D levels (< 10 ng/mL, 10- 20 ng/mL, 20–30 ng/mL, and > 30 ng/mL), a statistically significant difference was found in left leg knee concentric extension at 300˚/s (p = 0.021). Three studies reporting IK [45] and IM [31, 45] measurements included an elderly population (> 65 years old). Houston et al. [35] utilised two models to report outcome measures. One utilised sociodemographic factor such as age, gender, race, education; the other utilised sociodemographic factors and health behaviours such as alcohol consumption, smoking, and physical activity. The former showed no significant correlation between 25(OH)D levels and quadriceps extensor strength. The latter showed that after adjusting for body weight, quadriceps strength was significantly lower in those with 25(OH)D deficiency (< 20 ng/ml) compared to those with sufficient 25(OH)D (p = 0.02) [35]. This suggests 25(OH)D deficiency is associated with poorer muscle quality [35]. Salminen et al. [31] showed greater right (p = 0.044) and left (p = 0.010) quadriceps strength in those with normal 25(OH)D levels, compared with deficient 25(OH)D levels.
Risk of bias
Using the AXIS tool for cross-sectional studies (Additional File 5), only three studies justified their sample size [37, 40, 49]. Two studies [40, 46] neither provided an exclusion criteria nor addressed how they dealt with non-responders. Three studies [33, 38, 47] did not specify the statistical test used and the methodology was not sufficiently described to be repeated.
Using the QUIPs tool for prognostic studies (Additional File 6), the overall rating was low for the following domains: study participation, prognostic factor measurement, outcome measure, confounding factors, statistical analysis and reporting.
Discussion
These findings of this meta-analysis show a statistically significant positive correlation between serum 25(OH)D levels and isokinetic quadriceps strength. The significant positive correlation remained when looking at isokinetic quadriceps strength in elderly populations (> 65 years old), in athletic populations, and isokinetic quadriceps strength at 180°/s. This meta-analysis did not find a significant positive correlation between 25OHD levels and isometric quadriceps strength and isokinetic quadriceps strength at 60°/s. There was a weak negative correlation between 25(OH)D levels and MVC, but this was statistically insignificant.
The results of this review could be important for improving public health since poor lower limb muscle strength is a predictor of functional disability [58], dependence in older people [58], poor quality of life [59], and all-cause mortality [60]. The positive correlation between 25(OH)D and quadriceps strength found in this study could explain the results from meta-analyses suggesting that vitamin D supplementation reduced the risk of an elderly person falling by 14–22% [61–63]. Another meta-analysis reported a three-fold increased risk of recurrent falls in the elderly with lower extremity weakness [64]. Since quadriceps strength is an important predictor of falls [65], vitamin D supplementation can be an inexpensive and safe way to decrease falls and fragility fractures in the elderly, hence reducing healthcare costs [66].
The positive correlation between serum 25(OH)D levels and lower limb muscle strength agrees with other systematic reviews [1, 67, 68]. Vitamin D has a strong regulatory function on skeletal muscle contraction and tone. In a study on vitamin D deficient individuals, vitamin D3 supplementation improved mitochondrial oxidative function in skeletal muscle [69]. Vitamin D acts by binding to VDRs in myocytes, leading to de novo protein synthesis [70]. This relationship has been shown in both human and animal studies [71]. In a study of gluteus medius biopsies, VDR expression was found to decrease with age, leading to a decreased response of the musculature to vitamin D [72]. Studies on genetic polymorphisms in the VDR show a correlation with muscle strength, muscle size, and calcium homeostasis [73], hence affecting the rate of fragility fractures [74]. Mice with whole-body VDR knockout have a shrunken body, decreased muscle mass, and are weak, even if calcium and phosphate levels were kept constant [75]. Nevertheless, some clinical trials [76, 77] and systematic reviews [78, 79] have shown an insignificant relationship between vitamin D supplementation and muscle strength. Perhaps the associations between serum 25(OH)D and muscle functions have one interpretation, while the effects of vitamin D supplementation on muscle functions have another. Although there can be a significant relationship between 25(OH)D and muscle strength, increasing 25(OH)D through supplementation does not necessarily imply increased muscle strength.
The positive correlation between serum 25(OH)D levels with quadriceps strength seen in this meta-analysis might have been affected by confounding factors not controlled for in the included studies. Vitamin D levels are directly affected by sunlight exposure and diet, and indirectly affected by factors such as religion, ethnicity, latitude. Religious attire, increased time spent indoors during winter months can affect sunlight exposure. Whilst studies have shown that vitamin D has a hypertrophic effect on myocytes [43], Zamboni et al. suggested that the beneficial effects of vitamin D are due to its actions on the contractile strength of myocytes rather than size [27]. Furthermore, some studies have shown the effects of vitamin D on neuromuscular coordination, balance, and postural stability, suggested by the presence of VDRs on the human nervous system [80]. This effect on postural stability could be independent from the effect on muscle strength [28].
Although there is a positive correlation between vitamin D levels and lower limb muscle strength, this is not the case with upper limb muscle strength [28, 64, 68]. It is unclear why vitamin D has a differential effect, but the difference in VDR expression is a possible explanation. The lower limb is utilised more than the upper limb during daily load-bearing exercises, and increased neuromuscular modulation in the quadriceps could result in an increased functional response to vitamin D, upregulating VDR expression in the nuclei [72]. Another reason could be a less sensitive handgrip dynamometer that is less able to pick up small but still significant changes in upper limb muscle strength [67]. However, a meta-analysis of RCTs suggested that vitamin D supplementation significantly increased upper (p = 0.005) and lower limb strength (p = 0.04) [81]. Grimaldi et al. reported stronger and more consistent associations between vitamin D levels and upper limb strength than lower limb strength [11]. This can be explained by the fact that 25(OH)D affects type II muscle fibres which generate more force than type I fibres [52], and a larger percentage of type II fibres is found in the upper limbs compared to the lower limbs [82]. Given the inconclusive and contradictory evidence, further research is needed to ascertain if vitamin D has a differential effect on the upper and lower limbs, and if so, the physiological processes behind it.
A common complication after ACLR surgery is muscle weakness, preventing athletes from returning to full fitness. In a study of eighteen men undergoing ACLR surgery, isometric quadriceps force was greater in those with a higher baseline 25(OH)D level [83]. This could be due to the presence of IFNγ after surgery, which aids the conversion of 25(OH)D to 1,25-(OH)2D [83], the biologically active form of vitamin D. Low vitamin D levels could hinder strength recovery during the inflammatory phase straight after ACLR surgery. Thus, monitoring vitamin D levels, or rather the 1,25-(OH)2D to 25(OH)D ratio, can be a simple yet effective rehabilitation method after ACLR surgery.
It is unclear if there is an optimal vitamin D level for muscle function and strength. Despite studies showing a decreased risk of falls and increased lower limb function with vitamin D supplementation [11, 61, 62], it may not be beneficial in certain situations, especially in high doses. In a study of 2256 elderly women receiving 500,000 IU of cholecalciferol annually, the incidence risk ratio of fragility fractures was 1.26 versus the placebo group [84]. An increase in fracture incidence after high dose vitamin D treatment was also seen in Smith et al. whose cohort received 300,000 IU of ergocalciferol annually [85]. This seemingly contradicts the result in Trivedi et al. who reported a 0.78 relative risk compared with placebo for any fracture [86]. However, the dosing regimen differed; Trivedi et al. used 100,000 IU cholecalciferol every four months for five years, whilst Smith et al. used 300,000 IU ergocalciferol annually over three years. Perhaps the large annual dose and subsequent decrease in levels, rather than a large dose per se, is detrimental to fracture prevention [84].
Strengths and limitations
Methodological strengths of this review include the adherence to the PRIMSA statement, and a rigorous assessment of quality of evidence using the Cochrane GRADE guidelines. The main limitation of this review is the inclusion of observational studies that have a low quality of evidence. The included studies were heterogeneous, with small and unevenly distributed sample sizes, and a variety of dynamometers used. This could have contributed to the significant heterogeneity seen in some analyses, which was mitigated by using a random-effects model. Using Egger’s and Begg’s test, no evidence of publication bias was found. Despite a rigorous attempt to include all suitable studies, one from Turkey were excluded as only the abstract was available in English [87]. This study included studies that only used serum 25OHD levels to indicate vitamin D status, which increases the chance for selective reporting. In over half the included studies, no correlation coefficient between 25OHD and muscle strength were reported, and different vitamin D cohorts were used, preventing a quantitative comparison between studies.
Conclusion
This review identified a statistically significant positive correlation between serum 25(OH)D levels and isokinetic quadriceps strength, indicating that higher serum 25(OH)D levels may enhance quadricep strength. While there was also a positive correlation between serum 25(OH)D levels and isometric quadriceps strength, this relationship was not statistically significant. These findings suggest that maintaining adequate vitamin D levels could be crucial in preserving muscle strength, particularly in the elderly, who are at a higher risk of falls and fragility fractures. Clinically, this underscores the potential of vitamin D as a preventive measure against such risks. Given the widespread public interest in vitamin D, further research is necessary to establish the optimal serum levels and determine the most effective dosing strategies, including the appropriate mode and duration of vitamin D supplementation.
Supplementary Information
Acknowledgements
Not applicable.
Abbreviations
- 25OHD
25-Hydroxyvitamin D
- VDR
Vitamin D receptor
- PTH
Parathyroid hormone
- MVC
Maximal voluntary contraction
- AXIS
Appraisal tool for Cross-Sectional Studies
- QUIPS
Quality in Prognosis Studies
- RCT
Randomised controlled studies
- IK
Isokinetic
- IM
Isometric
- LS
Longitudinal study
- CSS
Cross-sectional study
Authors’ contributions
MTYO started the study and screened the articles, KCKT and VYZL wrote the manuscript and did the meta-analysis, SLSY and WS revised the manuscript, GCWM and PSHY supervisored this study.
Funding
This research received no specific grant from any funding agency in the public, commercial, or not-for-profit sectors.
Data Availability
The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.
Declarations
Ethics approval and consent to participate
Ethics approval is not required for this systematic review as it involves the analysis of published data and does not include direct interaction with human or animal subjects. All data analysed in this review are derived from previously conducted studies that have obtained their respective ethical approvals.
Consent for publication
Not applicable. This systematic review does not contain any data that could be linked to individual participants or require consent for publication.
Competing interests
The authors declare no competing interests.
Footnotes
Publisher’s Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Michael Tim-yun Ong and Kitson Chun-Kit Tsang contributed equally to this work.
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Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Data Availability Statement
The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.