Next Article in Journal
Gamification for the Improvement of Diet, Nutritional Habits, and Body Composition in Children and Adolescents: A Systematic Review and Meta-Analysis
Next Article in Special Issue
Association between Predictors of Vitamin D Serum Levels and Risk of Retinoblastoma in Children: A Case-Control Study
Previous Article in Journal
Associations between Maternal Iron Supplementation in Pregnancy and Changes in Offspring Size at Birth Reflect Those of Multiple Micronutrient Supplementation
Previous Article in Special Issue
Serum and Dietary Vitamin D in Individuals with Class II and III Obesity: Prevalence and Association with Metabolic Syndrome
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Musculoskeletal Health in Active Ambulatory Men with Cerebral Palsy and the Impact of Vitamin D

by
Christina Kate Langley
1,2,*,
Gladys Leopoldine Onambélé-Pearson
1,
David Thomas Sims
1,2,
Ayser Hussain
1,
Aidan John Buffey
1,3,4,
Holly Leigh Bardwell
1 and
Christopher Ian Morse
1
1
Department of Sport and Exercise Sciences, Musculoskeletal Sciences and Sport Medicine Research Centre, Faculty of Science & Engineering, Manchester Metropolitan University, Manchester M15 6BH, UK
2
The Football Association, St Georges Park, Burton-Upon-Trent DE13 9RN, UK
3
Department of Physical Education and Sport Sciences, University of Limerick, V94 T9PX Limerick, Ireland
4
Physical Activity for Health Cluster, Health Research Institute, University of Limerick, V94 T9PX Limerick, Ireland
*
Author to whom correspondence should be addressed.
Submission received: 17 June 2021 / Revised: 5 July 2021 / Accepted: 16 July 2021 / Published: 20 July 2021
(This article belongs to the Special Issue Benefits of Vitamin D in Health and Diseases)

Abstract

:
Purpose: (1) To determine the contribution of diet, time spent outdoors, and habitual physical activity (PA) on vitamin D status in men with cerebral palsy (CP) compared to physical activity matched controls (TDC) without neurological impairment; (2) to determine the role of vitamin D on musculoskeletal health, morphology, and function in men with CP compared to TDC. Materials and methods: A cross-sectional comparison study where 24 active, ambulant men with CP aged 21.0 ± 1.4 years (Gross Motor Function Classification Score (I–II) and 24 healthy TDC aged 25.3 ± 3.1 years completed in vivo assessment of musculoskeletal health, including: vastus lateralis anatomical cross-sectional area (VL ACSA), isometric knee extension maximal voluntary contraction (KE iMVC), 10 m sprint, vertical jumps (VJ), and radius and tibia bone ultrasound (US) Tus and Zus scores. Assessments of vitamin D status through venous samples of serum 25-hydroxyvitamin D (25(OH)D) and parathyroid hormone, dietary vitamin D intake from food diary, and total sun exposure via questionnaire were also taken. Results: Men with CP had 40.5% weaker KE iMVC, 23.7% smaller VL ACSA, 22.2% lower VJ, 14.6% lower KE iMVC/VL ACSA ratio, 22.4% lower KE iMVC/body mass (BM) ratio, and 25.1% lower KE iMVC/lean body mass (LBM) ratio (all p < 0.05). Radius Tus and Zus scores were 1.75 and 1.57 standard deviations lower than TDC, respectively (p < 0.05), whereas neither tibia Tus nor Zus scores showed any difference compared to TDC (p > 0.05). The 25(OH)D was not different between groups, and 90.9% of men with CP and 91.7% of TDC had low 25(OH)D levels when compared to current UK recommendations. The 25(OH)D was positively associated with KE iMVC/LBM ratio in men with CP (r = 0.500, p = 0.020) but not in TDC (r = 0.281, p = 0.104). Conclusion: Musculoskeletal outcomes in men with CP were lower than TDC, and despite there being no difference in levels of 25(OH)D between the groups, 25 (OH)D was associated with strength (KE iMVC/LBM) in the CP group but not TDC. The findings suggest that vitamin D deficiency can accentuate some of the condition-specific impairments to musculoskeletal outcomes.

1. Introduction

Circulating vitamin D levels in vivo can account, in part, for observed variance of musculoskeletal outcome measures, with known implications for musculoskeletal impairments resulting from low vitamin D levels in otherwise healthy adults [1]. Predominant reasons for reduced vitamin D levels are due to insufficient dietary intake and restricted outdoor exposure to sun light [2]. Ultraviolet beta (UV b) radiation from sun exposure represents the primary source of endogenous vitamin D (serum 25-hydroxyvitamin D, 25(OH)D), and, as a result, endogenous vitamin D3 synthesis is severely decreased at latitudes over 35° N during winter months (the UK is ~53° N). Accordingly, individuals at these latitudes are susceptible to vitamin D deficiency [1] with 74.5% of the UK population exhibiting low vitamin D levels, comprising 33.7% who are vitamin D insufficient (25(OH)D levels of 30–20 ng mL−1) and 40.8% who are vitamin D deficient (25(OH)D < 20 ng mL−1).
The current recommendations for dietary intake of vitamin D for UK-based 19–50 year olds is 400–600 IU per day to benefit musculoskeletal function [3]. Within the general UK population, dietary intakes of vitamin D range from 168–291 IU/d (3.5–6.39 μg/d) in men and 140–255 IU/d (4.2–7.28 μg/d) in women, contributing to the high levels of the UK population who are vitamin D deficient [2]. Only a few foods, such as oily fish, naturally contain vitamin D, and these tend to be relatively low dosages [1], meaning it is difficult to meet these recommendations through diet alone. As approximately 80% of circulating 25(OH)D comes from UV b radiation from spending time outdoors in direct sunlight [1], it is important that individuals perform outdoor activities in order to accumulate vitamin D in replacement of the lack of endogenous vitamin D. Measures of both dietary vitamin D analysis [4] and outdoor sunlight exposure are heavily reported with typically developed, able-bodied adults and children (hereafter termed TDC, typically developed controls) [5,6]. Interestingly, individuals with disabilities, such as cerebral palsy and spinal cord injuries, appear to have poorer micronutrients compared to age-matched TDCs (Oleson, Patel [7,8]). Furthermore, although not directly related to outdoor activity, physical activity (PA) is 48 min lower, and sedentary behaviour is 80 min higher per day in men with CP with Gross Motor Function Classification Systems (GMFCS) of I–II compared to TDC (Nooijen, Slaman [9]), suggesting a lower level of UV b exposure in individuals with CP. Despite physically active individuals reporting higher sun exposure than more sedentary individuals, there are many studies that report low 25(OH)D in athletic populations with and without disabilities. For example, Morton, Iqbal [10] found that elite English Premier League footballers (living at a latitude of 53° N) had low vitamin D (mean ± standard deviation (SD), 20.5 ± 7.63 ng∙mL−1) during the winter months, while Flueck, Hartmann [11] showed 83.7% of 72 Swiss elite wheelchair athletes (living at a latitude of 47° N) were vitamin D insufficient.
The presence of low vitamin D levels in physically impaired groups, such as those with CP, is a particular concern given their diminished musculoskeletal health measures, such as muscle force production [12,13]. Lower levels of 25(OH)D are associated with lower musculoskeletal health outcomes including but not limited to: lower strength [14], muscle size [15], reduced bone mass [16], increased parathyroid hormone (PTH) [15], and higher levels of adiposity in TDC [17]. Individuals with CP are predisposed to reduced muscle size, strength, and bone mass, primarily due to reduced mechanical loading from altered gait patterns as a consequence of increased muscle tone and lower range of motion [18,19]. These already impaired musculoskeletal outcomes are compromised further in CP through modifiable risk factors including poor dietary micronutrient intake [20], reduced sun exposure [21], low PA levels [22], and as a side effect of anticonvulsant medications [23]. As described, the observed lower vitamin D levels in groups with CP could be a risk factor to exacerbated musculoskeletal health, but there appears to be no data pertaining to the measurements of vitamin D in PA groups with CP nor its effects on musculoskeletal measures.
Therefore, the aim of this present study was to increase our understanding of the role of vitamin D on musculoskeletal health in men with CP and compare it to TDC. The objectives of this study were to: (1) determine the impact of diet, time spent outdoors, PA, and vitamin D status in men with CP compared to TDC without neurological disabilities; (2) determine the role of vitamin D on musculoskeletal health in men with CP compared to TDC. The hypotheses of this study were: (1) men with CP have lower levels of vitamin D compared to TDC; (2) lower vitamin D leads to reduced musculoskeletal health in men with CP.

2. Materials and Methods

2.1. Study Protocol

The study took place in the UK at Manchester and Derby. A total of 48 volunteers participated in this study consisting of 24 ambulatory males with CP and 24 male TDC (Table 1). All participants provided written informed consent following approval from the local Ethics Committee. Participants were assessed for anthropometric measures, muscle size, bone ultrasound Tus and Zus scores, muscle function, dietary vitamin D, total sun exposure, and PA (described below). All participants provided venous blood samples for subsequent total serum 25(OH)D and serum PTH analysis.
All participants were aged 18–30 years old and were UK residents having lived above 35° N for at least three months prior to this study. The CP group was ambulatory male footballers with cerebral palsy playing in the development or the elite disability football teams from The Football Association and playing football more than twice per week. Typically developed control participants were free of any neuromuscular disorder and pl6ayed football at least twice per week. Participants were excluded from the study if they: reported to have taken vitamin D supplements or used sun beds in the last 3 months prior to the study, went on regular holidays (defined as a destination between latitudes of 35° N and 35° S with a duration >7 days at a frequency >2 per year), had any illnesses (e.g., chronic kidney disease), or were known to be using any medication that may affect the metabolism of vitamin D (e.g., corticosteroids).

2.2. Participants and Recruitment

Men with CP (diplegic = 6, hemiplegic = 18) were recruited via The Football Association and were classified as FT3 (n = 3), FT2 (n = 17) and FT1 (n = 4) with GMFCS between I (n = 18) and II (n = 6, Table 1). All participants were tested on a single testing session with the same equipment. Testing commenced on 14 February 2019 and ended on 13 March 2019 for all groups, as total 25(OH)D levels were most likely to be near their nadir in the UK population based at a latitude of approximately 53° N [10,24].

2.2.1. Anthropometric Measures

Height (m) was measured using a stadiometer (Seca 213, portable stadiometer, Hamburg, Germany) following the stretch-stature method [25] and body mass (BM) (kg) via a set of digital scales with minimal clothing (Seca, Hamburg, Germany). Percentages (%) of body fat and lean body mass (LBM) were measured using bioelectrical impedance (BIA) (Omron, body fat monitor, BF306, Kyoto, Japan). Participants stood upright with their arms out on front and gripped the electrodes on each handle. BIA was shown to be valid (R2 = 0.96) in comparison with dual energy X-ray absorptiometry in adult TDC [26] and children with CP (concordance correlation coefficient, 0.75–0.82) [27]. It should be noted that, where greater variance was reported between BIA and DEXA in CP populations, this was attributed in part to errors associated with the use of estimated standing height [27,28], whereas, in the present study, all CP participants were able to provide a standing height measure.

2.2.2. Physical Activity

Habitual PA was recorded through the international physical activity questionnaire-long form (IPAQ) and presented as IPAQ score. The IPAQ consisted of 27 questions asking about the amount of time spent performing sedentary behaviours, light intensity physical activities, and moderate to vigorous physical activity around travel, work, and free time. In addition to PA questions, participants were also asked to answer questions on PA around occupation, transport, home, yard/garden, and leisure/sports. To assess habitual exercise, football training data were logged using 7 day diaries. Data collected included frequency of training (days per week), duration of each session (mins), and total time spent training (min per week). Step count was also recorded through mobile phone accelerometers from those participants (n = 46) with the iPhone Health Application (Apple Inc. Cupertino, CA, USA, version 13) as a daily average from the preceding 3 months.

2.2.3. Muscle Size

Images of the vastus lateralis (VL) of the impaired leg of hemiplegic CP or the most paretic leg of those with diplegic CP and the dominant leg of TDC were obtained using B-mode ultrasonography with a 7.5 MHz linear array probe (MyLabGamma Portable Ultrasound, Esaote Biomedica, Genoa, Italy) to estimate the anatomical cross-sectional area (ACSA). As described by Reeves, Maganaris [29], the VL’s proximal insertion and the myotendinous junction were marked to identify 50% of muscle length. A strip of echo-absorptive markers spaced equally apart was placed horizontally around the VL to project a shadow onto the ultrasound image to provide a positional reference. With the probe in the transverse plane, a recording of the probe moving from the medial border on the VL to the lateral border of the VL was obtained. Individual images were extracted from the recording and used to construct the muscle by overlapping anatomical landmarks and external markers using Microsoft PowerPoint. ImageJ software (Version 1.41, National Institutes of Health, Bethesda, MD, USA) was used to measure the cross-sectional area of the constructed VL to determine VL ACSA [30]. Reeves, Maganaris [29] validated this technique against magnetic resonance imaging (MRI) and showed an inter class correlation (ICC) of 0.99 and mean typical error of 0.3 cm2. Throughout the experimental procedures, all unilateral measures were taken from the paretic side of hemiplegic participants and the dominant leg of TDC. In diplegic participants, their most affected side was measured. Due to time constraints of working with men with CP, it was impossible to measure both limbs, however, it should be noted that previous data showed that similar participants with CP showed no significant difference between their unaffected side and TDC [31].

2.2.4. Muscle Function

To assess muscle function, vertical jump (VJ) height (m), maximum sprint time (s), grip strength (kg), and isometric knee extension maximal voluntary contraction (KE iMVC, N) were measured. Prior to the tests, all participants were taken through a standardised warm up which aimed to increase heart rate to over 120 bpm (Polar H10 chest heart rate monitor, Polar Electro, Kempele, Finland) and dynamic stretches with focus on the muscles around hips, knees, and ankles. Participants were given two attempts at each test, with 1 min rest in between, and the best result was recorded. VJ height (m) was measured using a jump mat (Probotics Inc., Esslinger court, Huntsville, Alabama) in two conditions—with and without arm swing. Nuzzo, Anning [32] reported the jump mat to be a reliable piece of equipment to measure VJ height in males (ICC = 0.93, coefficient of variation (CV) = 2.3%) and females (ICC = 0.90, CV = 6%) over two separate days.
Maximum sprint speed was assessed over 10 m. Two sets of sensory timing gates (Brower timing system, Wireless Sprint System 2007, Brower, Draper, UT, USA) were set up 1 m apart at either end of a 10 m distance. Participants performed two sprints with a standing start 0.60 m behind the first set of gates. This was shown to be a reliable method when measured on two separate days (ICC = 0.912, p < 0.01) [33].
Grip strength was assessed using a handgrip dynamometer (Jamar plus, Sammons Preston Rolyon, Bolingbrook, IL, USA). Participants chose their most comfortable grip position, and two maximal grip efforts were performed while standing with the elbow as extended as possible and the arm raised in front of the body level with the shoulder. Both tests were separated by 1 min, and the highest value was recorded. This current study showed a high test-retest reliability in men with CP and TDC (ICC = 0.996–0.998, both p < 0.001).
To record KE iMVC, participants were seated on a custom-made isokinetic chair fitted with a portable load cell (Manchester Metropolitan University, Manchester, UK). Their arms were across their chest, and the load cell attached around the dominant kicking leg (or the most paretic side in the CP group) with the knee at 90° flexion. The tested leg was fastened to a force transducer placed 5 cm above the lateral malleolus. Participants were instructed to extend the fastened leg maximally, and verbal encouragement was given during the measurement. Two trials were performed with 1 min break between each trial. The highest force produced was digitised using an analogue-to-digital converter, displayed by a self-displayed and coded program (MyLabView, National Instruments, Berkshire, UK) [34]. KE iMVC values were also presented relative to VL ACSA (KE iMVC/ACSA), BM (KE iMVC/BM), and LBM (KE iMVC/LBM).

2.2.5. Bone Ultrasound

Bone ultrasound (US) was used to assess bone Tus and Zus scores (Sunlight, BeamMed Ltd., Petah Tikva, Israel) of the distal radius (~5 cm from the condyle) and the distal tibia (~12 cm from the condyle). Participants laid supine for both measures. Ultrasound gel was applied to the skin surface at the measurement site to facilitate acoustic coupling. To assess the distal radius, the handheld probe was placed in the sagittal plane on the distal third of the radius. The probe was rotated ~70° laterally and ~70° distally in the horizontal axis around the radius slowly without lifting the probe from the skin surface. The distal third of the tibia was measured by placing the probe in the sagittal plane on the anterior portion of the tibia. The probe was moved back and forth ~4 cm in the transverse plane across the bone without uncoupling the probe from the skin surface. The measurements for each procedure were repeated 3–5 times depending on scan quality. After the signal was digitised and stored, the data were transferred to a computer for automated analysis, and a Tus and Zus score was provided. Knapp, Blake [35] reported that Sunlight ultrasound systems have reliable intra-operator precision at distal radius: 0.36% (after 10 consecutive scans) and precise in vivo precision: 0.4–0.8% (scans were performed every 2 months for 2 years).

2.3. Dietary Vitamin D Assessment

To assess habitual dietary vitamin D intake, participants completed a 7 day food diary using a mobile phone application (Libro beta, Nutritics, Co. Dublin, Ireland). Participants logged the weight (g) of food used in all meals and snacks they consumed. This was then analysed in Nutritics Software, which provided dietary vitamin D in µg. Day, McKeown [36] found that food diary recall was a reliable method for micronutrient intake (R = 0.75) when compared to urinary markers.

Sun Exposure Measurement

To estimate the level of endogenous skin synthesis of vitamin D3 from sun exposure, a sun exposure questionnaire (SEQ) was used to assess frequency, time of day, and amount of time that they spent exposed to direct sunlight in spring and summer months [37]. Questions also included the type of sun protections that participants habitually used that were likely to inhibit vitamin D3 synthesis (i.e., SPF sun cream and clothing worn). To obtain a sunlight exposure score, a coded model was used based around the sun exposure questions and Fitzpatrick scale to give a total sun exposure (TSE) score for each participant [38].

2.4. Blood Sample Collection

Venous blood samples of 5 mL were taken from the antecubital region of the arm for all participants. Samples were collected via needle and eccentric luer tip syringe (Terumo corporation, Shibuya, Tokyo, Japan), transferred into vacutainer plain tubes (BD Vacutainer Plus® plastic serum tube, Bristol Circle, Oakville, ON, Canada), and immediately centrifuged at 4500 G (Hermle, Model Z380, Countertop Centrifuge, Gosheim, Germany) for 10 min to separate the serum. Serum was removed via a micropipette calibrated to 100 µL (Pipetman pipette 10–100 µL, Gilson Scientific Ltd., Luton, UK) into two Eppendorf tubes (Eppendorf Tubes® 3810X, Eppendorf, Hamburg) and stored at −20 °C.

Measurement of Serum 25(OH)D

Total 25(OH)D concentrations were measured using enzyme-linked immune-sorbent assay (ELISA) (Orgentec Diagnostika GmbH, Germany). The Orgentec ELISA showed a good correlation of R2 = 0.83 when compared to liquid chromatography mass spectrometry (LC-MS/MS) [39]. The manufacturer of the ELISA (Orgentec) provided intra- and inter-assay CV’s of <14.6% and <11.7%. The intra assay CV for 25(OH)D in our hands was in fact lower at 2%. A four-parameter logistic curve also showed a reliable calibration curve (optical density vs. concentration (ng·mL−1) R2 = 0.9819. The Orgentec ELISA was previously validated against the LC-MS/MS with a bias of 17.8% [40].

2.5. Measurement of Parathyroid Hormone

Serum PTH (PTH) was measured using a 90 min, one-wash ELISA (Abcam, Cambridge, UK). The ELISA had a range of 4.69–300 pg∙mL−1 with a sensitivity of 0.761 pg∙mL−1. The manufacturer of the ELISA (Abcam, Cambridge, UK) provided intra and inter-assay CVs of 1.5% and 3.8%, respectively; the intra-assay CV for PTH from this current study was 7.5%. A four-parameter polynomial curve also showed a strong reliability score of R2 = 0.9991 in this current study.

2.6. Statistical Analyses

Statistics were performed using SPSS statistics (SPSS Statistics 25, IBM Chicago, IL, USA). Data were assessed for normal distribution using a Shapiro–Wilks test (p > 0.05). Homogeneity of variance was assessed using Levene’s test, and a corrected p value was applied if variance was non-homogenous. Group differences for height, BM, BMI, BF%, LBM%, dietary intake, TSE, VJ no arms, VJ with arms, 10 m sprint, grip strength, KE iMVC/BM, KE iMVC/LBM, and KE iMVC/VL ACSA were assessed by independent T tests. Non-parametric group differences for age, tibia Tus and Zus scores, radius Tus and Zus scores, VL ACSA, and KE iMVC were assessed using Mann–Whitney U. Pearson correlations were performed to determine any relationships that exist between 25(OH)D and diet, UV b exposure, and bone Tus and Zus scores. All data are presented as mean ± SD unless otherwise stated, and the confidence interval was set at 95% with alpha set at ≤0.05.

3. Results

Population Comparisons for CP and TDC

The CP group was 4.3 years younger (p < 0.001) and had a 14.1% lower BM (p = 0.001), a 12.1% lower BMI (p < 0.001), a 20% lower BF% (p = 0.23), and a 20% higher LBM% (p = 0.023) compared to TDC (Table 2). Although not specifically matched for PA, there were no group differences in height, IPAQ, step count, PA frequency, PA average minutes per session, or PA total time per week between groups (p > 0.05, Table 2). Pearson’s correlations showed that age was not associated with any outcome measure (all p > 0.05).
The CP group had a 23.7% smaller VL ACSA (p = 0.001), and KE iMVC was 40.5% lower compared to TDC (p < 0.001, Table 3). KE iMVC/VL ACSA, KE iMVC/BM, and KE iMVC/LBM were 14.6% (p = 0.048), 22.4% (p = 0.004), and 25.1% (p = 0.002) lower, respectively, in CP compared to TDC (Table 3). The CP group had a 22.2% lower VJ with no arm swing and a 21.8% lower VJ with arm swing compared to TDC (p < 0.001 for both (Table 3). There were no differences in handgrip strength (p = 0.280) or 10 m sprint time between CP and TDC (p = 0.302, Table 3).
In both groups combined, there was a positive relationship between KE iMVC/LBM and jump height (no arms) (R = 0.368, p = 0.021) and VJ (with arm swing) (R = 0.351, p = 0.029), but KE iMVC/LBM was not associated with 10 m sprint time (R = 0.024, p = 0.881). There was, however, no relationship between KE iMVC/LBM and jump height (no arms), jump height (with arm swing), or 10 m sprint time in either men with CP (R = 0.232–0.379, p > 0.05) or TDC (R = 0.026–0.087, p > 0.05) when grouped separately.
The CP group had a radius Tus score that was −1.75 SDs less and a radius Zus score that was −1.57 SDs less when compared to TDC (p < 0.001, Table 4). There was no difference between tibia Tus scores (p = 0.158, Table 4) and tibia Zus scores between groups (p = 0.143, Table 4). A Pearson’s correlation showed that there were no significant relationships between 25(OH)D and any tibia or radius Zus and Tus scores for both groups (R = 0.162–0.253, all p > 0.05). There were also no significant relationships between PTH and any tibia or radius Zus and Tus scores for both groups (R = 0.012–0.205, all p > 0.05).
There were no differences in 25(OH)D ng∙mL−1 (p = 0.381), PTH (p = 0.710), dietary intake (p = 0.540), or TSE score between groups (p = 0.790, Table 5). Of the men with CP, 5/22 (22.7%) were classed as severely deficient, 7/22 (31.8%) were deficient, 8/22 (36.4%) were insufficient, and 2/22 (9.1%) were adequate in 25(OH)D, while 8/24 (33.3%) of the TDC were classed as severely deficient, 9/24 (37.5%) were deficient, 5/24 (20.8%) were insufficient, and 2/24 (8.3%) were adequate in 25(OH)D. Pearson’s correlation showed no relationship between 25(OH)D and dietary vitamin D in men with CP (R = 0.079, p = 0.798) or TDC (R = 0.165, p = 0.607, Table 5), nor was there a relationship between 25(OH)D and TSE in men with CP (R = 0.041, p = 0.857) or TDC (R = 0.167, p = 0.447, Table 5). Pearson’s correlation showed that 25(OH)D levels were associated with stronger KE iMVC/LBM (R = 0.500, p = 0.020 (1-tailed)) in men with CP (Figure 1), but there was no association between 25(OH)D and KE iMVC/LBM in TDC (R = 0.281, p = 0.103 (1-tailed), Figure 1).

4. Discussion

The aim of this study was to increase the understating of vitamin D and musculoskeletal health in men with CP. Our findings show that (1) the CP participants had lower KE strength, smaller VL ACSA, and lower VJ and sprint performance compared to TDC; (2) bone Tus and Zus group comparisons were site-specific to upper and lower limbs, with the CP group showing lower radius scores but no difference in the tibia from TDC; (3) 25(OH)D levels were similar between CP and TDC groups, however, almost all participants were below levels considered sufficient; and (4) there was a positive association between 25(OH)D and KE iMVC/LBM in the CP group but no association in the TDC group.
Due to previous associations between impaired walking and plantar flexors (PF) weakness in adults with CP [41], most studies in CP measured PF strength and PF ACSA [12,42,43]. However, the KE was deemed an important muscle group to investigate, as these muscles play a dominant role in sports performance [44] and fall prevention [45] and are limited in their description within CP [46]. The 40.5% lower KE iMVC in the present study was consistent with the 52% weaker PF [47] and was a consequence of the PF being more directly impacted by the CP condition [12]. In contrast to our more modest levels of KE weakness, the previous report of a 69% weaker KE in CP [46] likely reflects the sex difference in strength between their mixed sex CP participants compared to their male only TDC. In the present study, men with CP had 23.7% smaller VL ACSA, which was consistent with the 20% smaller PF ACSA and the 27.9% smaller VL ACSA in men with CP compared to TDC (Noble, Fry [42]). The men with CP in this current study had a higher LBM% of 86.5% compared to other studies which used BIA in young ambulatory males with CP who had an LBM percentage of 74.8% [28]; this could be attributed to the high levels of PA in the current men with CP equivalent to 3996 steps more/day when compared to other young, ambulatory CP participants [48].
A lower knee extensor strength relative to LBM has a number of functional implications in both CP and other conditions of muscle weakness. Beyond our population of men with CP, a lower KEMVC/BM is an observation that was made in a number of conditions such as: obese aging men [49], postmenopausal women [50], and individuals with degenerative muscle impairments [51]. Due to the non-progressive nature of CP on neuromuscular properties, strategies to train and improve the quality (contractile properties, size, and strength) of the effected muscles, particularly the lower limbs, need to be considered alongside body fat management to contribute to improved neuromuscular function.
Surprisingly, there was no difference in 10 m sprint time between groups in the current study. A combination of factors may account for the lack of 10 m sprint difference. One could be attributed to 18/24 (75%) of the current CP group classifying as GMFCS I. In higher GMFC scoring adults with CP, there is increased gait symmetry to TDC [52], which could contribute to effective ground reaction force vectors when sprinting [53]. de Groot et al. [46] also found no difference in peak power output in a CP group with a GMFCS of I when compared to TDC. It should also be considered that the majority of men with CP were hemiplegic in this study (Table 1), and running gait patterns were shown to have increased symmetry with increasing running speeds [54]. Therefore, peak power output and increased sprinting gait symmetry may explain why there was no difference in the 10 m sprint.
The bone Tus and Zus score group differences showed site dependence with a lower radius T score of −1.32 representing a bone fracture risk of 2.3-fold greater compared to normative values [55]; in contrast, the distal tibia showed no difference between groups. This was similar to bone Tus and Zus score data presented previously from adolescents with CP who had radius and tibia T scores of −1.07 and −0.38, respectively [56]. In adolescents with CP, tibia density was previously reported to be higher with increasing ambulation levels [57]. Indeed, football is specifically effective at preserving age related bone Tus and Zus scores in those without CP [58]. It is therefore likely that our observations of preserved tibia Tus and Zus scores may be a consequence of regular lower limb bone loading through activities such as football and associated exercise. For future research, it is important to acknowledge that the present study does not show that football alone improves bone Tus and Zus scores in men with CP, and more work is required to show this association with the sport. It is more probable that the general activity levels of the CP group, which included large elements of football, matched Tus and Zus scores of their tibia to TDC. Certainly though, clinicians and physical trainers should incorporate exercises that load the upper limbs to ensure bone turnover and development occurs in groups with CP.
The lack of difference in PTH between groups was consistent with the fact that almost all participants had low levels 25(OH)D [59]. There is a paucity of data on vitamin D concentration in disabled populations, particularly in regard to athletes with disabilities, despite low vitamin D concentrations being documented in several nonathletic populations [14,15,16]. Despite our findings that there are no differences in 25(OH)D between the men with CP and TDC, both groups were, on average, classified as deficient, with an insufficiency prevalence of ~90%. These low vitamin D levels relative to summer values are the norm in the UK during the winter months [60]. Yet, in the present study, low vitamin D levels may exacerbate the condition-specific weakness, e.g., 25(OH)D explained 26% of the variance in KE iMVC/LBM in the CP participants. In contrast, we saw no associations between 25(OH)D and other outcomes, a likely consequence of the very low levels of 25(OH)D. This was particularly noticeable in the lack of association between 25(OH)D and either dietary vitamin D or TSE in both participant groups, likely as all three could be considered very low, e.g., the dietary vitamin D intake (185.5 ± 155 IU/d) was not even close to the recommended value of 400–600 IU/d in adults [3]. Similarly, that there was no association between TSE and 25(OH)D in this current study was consistent with negligible UV b radiation from sun exposure during the latter winter months in the UK (i.e., February–March). Thus, even with the highest TSE scores, 25(OH)D would likely not have been high [60]. Despite the negligible 25(OH)D variance between groups, the role of 25(OH)D in KE MVC/BM was consistent with the well-established role of 25(OH)D on skeletal muscle myogenesis, cell proliferation, differentiation, regulation of protein synthesis, and mitochondrial metabolism [61]. With this knowledge (and the prevalent insufficiency in all participants), interventions such as vitamin D supplementation should be sought by men with both CP and TDC to correct for low vitamin D. In the future, it is important that seasonal variations in vitamin D are measured to identify if increased UV b radiation from sun exposure improves 25(OH)D to adequate levels and if musculoskeletal health outcome measures are impacted in men with CP and other para-athletes.

5. Strengths and Limitations

The participants in the present study represent a highly functional proportion of men with CP (GMFCS I-II). Our participant groups were, however, similar to the only other description of KE iMVC and sprint outcomes [46] and were consistent with populations of CP athletes investigated by others [62]. Comparisons with population-based studies suggest that the proportion of GMFCS I:GMFCSII participants is around n = 3:2 [63]. In contrast, the strength comparisons made in the present study as well as the studies by de Groot, Dallmeijer [46], and [62] were made in ambulatory participants with CP at a ratio of GMFCS I:GMFCS II, n = 3:1, with more severe impairments also included in O’Brien, Carroll [62]. The high levels of PA in these active CP participants, however, mean that the findings may not be generalisable to other more impaired populations with CP. Although a broader population would, of course, be relevant for generalisation, our population of lower GMFCS impairment likely reduces the contribution of PA variance to the group differences and suggests that, by regularly undertaking football and other forms of PA, there is some benefit to the musculoskeletal health of men with CP, particularly in the bone Tus and Zus scores of the lower limbs. As addressed throughout these limitations, and consistent with the caveat of all studies, the outcomes reflect the population under investigation. To this end, it is important to note we include no data from women. Although not adverse to presenting sex disaggregated musculoskeletal outcomes such as KE strength and tendon stiffness [64,65], our recruitment of CP participants was driven by the prevailing opportunities for those with CP and, noticeably, a much more limited development pathway for women’s para-sport. In previous studies including active CP participants where women were presented, it was as a minority (men: women, 2:1 and 4:1, respectively [46,66]. Given the known sex differences in bone measures and the greater risk for osteoporosis [67], future research should strive to uncover particular risks and implications of low vitamin D in women with CP.

6. Conclusions

The aim of this study was to increase the understating of vitamin D and musculoskeletal health in men with CP. It illustrated that men with CP have lower KE iMVC force, smaller VL ACSA, reduced muscle function, and site-specific reduced Tus and Zus scores of the radius compared to TDC. Men with CP and TDC are both also at high risk of low vitamin D during the winter months, which could contribute to weakness of the KE iMVC/LBM in men with CP. Therefore, it is important that men with CP undertake strategies to amend low vitamin D during the winter months such as vitamin D supplementation to ensure that decreased muscular performance and potential risk of falls from exacerbated knee extensor weakness are reduced.

Author Contributions

C.K.L., C.I.M., and A.H. conceptualised the study, C.K.L., A.J.B., and H.L.B. collected the data, C.K.L. interpreted and analysed the data, C.K.L. was the major contributor in writing the manuscript. C.K.L., G.L.O.-P., D.T.S. and C.I.M. read and approved the final manuscript. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded through a joint PhD studentship by The Football Association and Manchester Metropolitan University.

Institutional Review Board Statement

The study was conducted according to the guidelines of the Declaration of Helsinki, and approved by the Manchester Metropolitan University ethics committee (protocol code-2780, 20 February 2019).

Informed Consent Statement

All participants provided written informed consent, following approval from the Manchester Metropolitan University ethics committee (protocol code-2780, 20 February 2019), in accordance with the declaration of Helsinki.

Data Availability Statement

Data can be made available on request.

Acknowledgments

Thank you to all of the individuals at Manchester Metropolitan University and The Football Association who helped to make this study possible.

Conflicts of Interest

The authors declare that there was no conflict of interest.

Abbreviations

25(OH)D25-hydroxyvitamin D
BMBody Mass
BMIBody Mass Index
CPCerebral Palsy
GMFCSGross Motor Function Classification System
IFCPFInternational Federation of Cerebral Palsy Football
IPAQInternational Physical Activity Questionnaire
KE iMVCKnee Extensor Isometric Maximal Voluntary Contraction
LBMLean Body Mass
PAPhysical Activity
PFPlantar Flexor
PTHParathyroid Hormone
TDCTypically Developed Controls
TSETotal Sun Exposure
UVUltraviolet
VL ACSAVastus Lateralis Anatomical Cross-Sectional Area
VJVertical Jump

References

  1. Holick, M.F. Vitamin D Deficiency. N. Engl. J. Med. 2007, 357, 266–281. [Google Scholar] [CrossRef]
  2. Lips, P. Vitamin D physiology. Prog. Biophys. Mol. Biol. 2006, 92, 4–8. [Google Scholar] [CrossRef]
  3. Holick, M.F.; Binkley, N.C.; Bischoff-Ferrari, H.A.; Gordon, C.M.; Hanley, D.A.; Heaney, R.P.; Murad, M.H.; Weaver, C.M. Evaluation, Treatment, and Prevention of Vitamin D Deficiency: An Endocrine Society Clinical Practice Guideline. J. Clin. Endocrinol. Metab. 2011, 96, 1911–1930. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  4. Brett, N.R.; Lavery, P.; Agellon, S.; Vanstone, C.A.; Maguire, J.L.; Rauch, F.; Weiler, H.A. Dietary vitamin D dose-response in healthy children 2 to 8 y of age: A 12-wk randomized controlled trial using fortified foods. Am. J. Clin. Nutr. 2015, 103, 144–152. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  5. Docio, S.; Riancho, J.A.; Pérez, A.; Olmos, J.M.; Amado, J.A.; González-Macías, J. Seasonal Deficiency of Vitamin D in Children: A Potential Target for Osteoporosis-Preventing Strategies? J. Bone Miner. Res. 1998, 13, 544–548. [Google Scholar] [CrossRef] [PubMed]
  6. Rajakumar, K.; Holick, M.; Jeong, K.; Moore, C.; Chen, T.; Olabopo, F.; Haralam, M.A.; Nucci, A.; Thomas, S.B.; Greenspan, S.L. Impact of Season and Diet on Vitamin D Status of African American and Caucasian Children. Clin. Pediatr. 2011, 50, 493–502. [Google Scholar] [CrossRef] [Green Version]
  7. Oleson, C.V.; Patel, P.H.; Wuermser, L.-A. Influence of Season, Ethnicity, and Chronicity on Vitamin D Deficiency in Traumatic Spinal Cord Injury. J. Spinal Cord Med. 2010, 33, 202–213. [Google Scholar] [CrossRef]
  8. Kalra, S.; Aggarwal, A.; Chillar, N.; Faridi, M. Comparison of Micronutrient Levels in Children with Cerebral Palsy and Neurologically Normal Controls. Indian J. Pediatr. 2014, 82, 140–144. [Google Scholar] [CrossRef]
  9. Nooijen, C.; Slaman, J.; Stam, H.; Roebroeck, M.; Berg-Emons, R.V.D. Learn2Move Research Group Inactive and sedentary lifestyles amongst ambulatory adolescents and young adults with cerebral palsy. J. Neuroeng. Rehabil. 2014, 11, 49. [Google Scholar] [CrossRef] [Green Version]
  10. Morton, J.P.; Iqbal, Z.; Drust, B.; Burgess, D.; Close, G.L.; Brukner, P.D. Seasonal variation in vitamin D status in professional soccer players of the English Premier League. Appl. Physiol. Nutr. Metab. 2012, 37, 798–802. [Google Scholar] [CrossRef] [Green Version]
  11. Flueck, J.L.; Hartmann, K.; Strupler, M.; Perret, C. Vitamin D deficiency in Swiss elite wheelchair athletes. Spinal Cord 2016, 54, 991–995. [Google Scholar] [CrossRef] [Green Version]
  12. Hussain, A.W.; Onambele, G.L.; Williams, A.G.; Morse, C.I. Muscle size, activation, and coactivation in adults with cerebral palsy. Muscle Nerve 2014, 49, 76–83. [Google Scholar] [CrossRef]
  13. Finbråten, A.-K.; Syversen, U.; Skranes, J.; Andersen, G.L.; Stevenson, R.D.; Vik, T. Bone mineral density and vitamin D status in ambulatory and non-ambulatory children with cerebral palsy. Osteoporos. Int. 2015, 26, 141–150. [Google Scholar] [CrossRef]
  14. Bischoff, H.A.; Stahelin, H.B.; Urscheler, N.; Ehrsam, R.; Vonthein, R.; Perrig-Chiello, P.; Tyndall, A.; Theiler, R. Muscle strength in the elderly: Its relation to vitamin d metabolites. Arch. Phys. Med. Rehabil. 1999, 80, 54–58. [Google Scholar] [CrossRef]
  15. Foo, L.H.; Zhang, Q.; Zhu, K.; Ma, G.; Hu, X.; Greenfield, H.; Fraser, D. Low Vitamin D Status Has an Adverse Influence on Bone Mass, Bone Turnover, and Muscle Strength in Chinese Adolescent Girls. J. Nutr. 2009, 139, 1002–1007. [Google Scholar] [CrossRef] [Green Version]
  16. Farrar, M.; Mughal, M.Z.; Adams, J.E.; Wilkinson, J.; Berry, J.L.; Edwards, L.; Kift, R.; Marjanovic, E.; Vail, A.; Webb, A.R.; et al. Sun Exposure Behavior, Seasonal Vitamin D Deficiency, and Relationship to Bone Health in Adolescents. J. Clin. Endocrinol. Metab. 2016, 101, 3105–3113. [Google Scholar] [CrossRef] [PubMed]
  17. Rajakumar, K.; Heras, J.D.L.; Chen, T.; Lee, S.; Holick, M.; Arslanian, S.A. Vitamin D Status, Adiposity, and Lipids in Black American and Caucasian Children. J. Clin. Endocrinol. Metab. 2011, 96, 1560–1567. [Google Scholar] [CrossRef] [PubMed]
  18. Carriero, A.; Zavatsky, A.; Stebbins, J.; Theologis, T.; Shefelbine, S.J. Determination of gait patterns in children with spastic diplegic cerebral palsy using principal components. Gait Posture 2009, 29, 71–75. [Google Scholar] [CrossRef] [PubMed]
  19. Papageorgiou, E.; Simon-Martinez, C.; Molenaers, G.; Ortibus, E.; Van Campenhout, A.; Desloovere, K. Are spasticity, weakness, selectivity, and passive range of motion related to gait deviations in children with spastic cerebral palsy? A statistical parametric mapping study. PLoS ONE 2019, 14, e0223363. [Google Scholar] [CrossRef] [Green Version]
  20. Hillesund, E.; Skranes, J.; Trygg, K.U.; Bøhmer, T. Micronutrient status in children with cerebral palsy. Acta Paediatr. 2007, 96, 1195–1198. [Google Scholar] [CrossRef]
  21. Halliday, T.; Peterson, N.J.; Thomas, J.J.; Kleppinger, K.; Hollis, B.W.; Larson-Meyer, D.E. Vitamin D Status Relative to Diet, Lifestyle, Injury, and Illness in College Athletes. Med. Sci. Sports Exerc. 2011, 43, 335–343. [Google Scholar] [CrossRef] [Green Version]
  22. Seth, A.; Aneja, S.; Singh, R.; Majumdar, R.; Sharma, N.; Gopinath, M. Effect of impaired ambulation and anti-epileptic drug intake on vitamin D status of children with cerebral palsy. Paediatr. Int. Child Health 2017, 37, 193–198. [Google Scholar] [CrossRef] [PubMed]
  23. Stallings, V.A.; Charney, E.B.; Davies, J.C.; Cronk, C.E. Nutritional Status and Growth of Children with Diplegic or Hemiplegic Cerebral Palsy. Dev. Med. Child Neurol. 2008, 35, 997–1006. [Google Scholar] [CrossRef] [PubMed]
  24. Cannell, J.J.; Hollis, B.W.; Sorenson, M.B.; Taft, T.N.; Anderson, J.J.B. Athletic Performance and Vitamin D. Med. Sci. Sports Exerc. 2009, 41, 1102–1110. [Google Scholar] [CrossRef] [PubMed]
  25. Voss, L.; Bailey, B. Diurnal variation in stature: Is stretching the answer? Arch. Dis. Child. 1997, 77, 319–322. [Google Scholar] [CrossRef] [Green Version]
  26. De Lorenzo, A.; Sorge, S.; Iacopino, L.; Andreoli, A.; De Luca, P.P.; Sasso, G. Fat-free mass by bioelectrical impedance vs. dual-energy X-ray absorptiometry (DXA). Appl. Radiat. Isot. 1998, 49, 739–741. [Google Scholar] [CrossRef]
  27. Oeffinger, D.J.; Gurka, M.J.; Kuperminc, M.; Hassani, S.; Buhr, N.; Tylkowski, C. Accuracy of skinfold and bioelectrical impedance assessments of body fat percentage in ambulatory individuals with cerebral palsy. Dev. Med. Child Neurol. 2013, 56, 475–481. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  28. Hildreth, H.G.; Johnson, R.K.; Goran, M.I.; Contompasis, S.H. Body composition in adults with cerebral palsy by dual-energy X-ray absorptiometry, bioelectrical impedance analysis, and skinfold anthropometry compared with the 18O isotope-dilution technique. Am. J. Clin. Nutr. 1997, 66, 1436–1442. [Google Scholar] [CrossRef] [Green Version]
  29. Reeves, N.D.; Maganaris, C.N.; Narici, M.V. Ultrasonographic assessment of human skeletal muscle size. Graefe’s Arch. Clin. Exp. Ophthalmol. 2004, 91, 116–118. [Google Scholar] [CrossRef]
  30. Esformes, J.I.; Narici, M.V.; Maganaris, C.N. Measurement of human muscle volume using ultrasonography. Graefe’s Arch. Clin. Exp. Ophthalmol. 2002, 87, 90–92. [Google Scholar] [CrossRef] [PubMed]
  31. Hussain, A. Neuromuscular Determinants of Muscle Strength and Passive Range of Motion in Men with Spastic Cerebral Palsy; Manchester Metropolitan University: Manchester, UK, 2013. [Google Scholar]
  32. Nuzzo, J.L.; Anning, J.H.; Scharfenberg, J.M. The Reliability of Three Devices Used for Measuring Vertical Jump Height. J. Strength Cond. Res. 2011, 25, 2580–2590. [Google Scholar] [CrossRef]
  33. Shalfawi, S.; Enoksen, E.; Tønnessen, E. Assessing Test-Retest Reliability of the Portable Brower Speed Trap Ii Testing System. Int. J. Fundam. Appl. Kinesiol. 2012, 44, 24–30. [Google Scholar]
  34. He, L.; Khanal, P.; Morse, C.I.; Williams, A.; Thomis, M. Associations of combined genetic and epigenetic scores with muscle size and muscle strength: A pilot study in older women. J. Cachex Sarcopenia Muscle 2020, 11, 1548–1561. [Google Scholar] [CrossRef]
  35. Knapp, K.M.; Blake, G.M.; Spector, T.D.; Fogelman, I. Multisite Quantitative Ultrasound: Precision, Age- and Menopause-Related Changes, Fracture Discrimination, and T-score Equivalence with Dual-Energy X-ray Absorptiometry. Osteoporos. Int. 2001, 12, 456–464. [Google Scholar] [CrossRef] [PubMed]
  36. Day, N.; McKeown, N.; Wong, M.; Welch, A.; Bingham, S. Epidemiological assessment of diet: A comparison of a 7-day diary with a food frequency questionnaire using urinary markers of nitrogen, potassium and sodium. Int. J. Epidemiol. 2001, 30, 309–317. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  37. McCarty, C.A. Sunlight exposure assessment: Can we accurately assess vitamin D exposure from sunlight questionnaires? Am. J. Clin. Nutr. 2008, 87, 1097S–1101S. [Google Scholar] [CrossRef] [Green Version]
  38. Fitzpatrick, T.B. The validity and practicality of sun-reactive skin types I through VI. Arch. Dermatol. 1988, 124, 869–871. [Google Scholar] [CrossRef] [PubMed]
  39. Zerwekh, J.E. The measurement of vitamin D: Analytical aspects. Ann. Clin. Biochem. Int. J. Lab. Med. 2004, 41, 272–281. [Google Scholar] [CrossRef] [Green Version]
  40. Enko, D.; Kriegshäuser, G.; Stolba, R.; Worf, E.; Halwachs-Baumann, G. Method evaluation study of a new generation of vitamin D assays. Biochem. Med. 2015, 25, 203–212. [Google Scholar] [CrossRef]
  41. Eek, M.N.; Beckung, E. Walking ability is related to muscle strength in children with cerebral palsy. Gait Posture 2008, 28, 366–371. [Google Scholar] [CrossRef]
  42. Noble, J.J.; Fry, N.R.; Lewis, A.P.; Keevil, S.F.; Gough, M.; Shortland, A.P. Lower limb muscle volumes in bilateral spastic cerebral palsy. Brain Dev. 2014, 36, 294–300. [Google Scholar] [CrossRef] [PubMed]
  43. McNee, A.E.; Gough, M.; Morrissey, M.C.; Shortland, A.P. Increases in muscle volume after plantarflexor strength training in children with spastic cerebral palsy. Dev. Med. Child Neurol. 2009, 51, 429–435. [Google Scholar] [CrossRef] [PubMed]
  44. Magalhães, J.; Oliveira, J.; Ascensao, A.; Soares, J. Concentric quadriceps and hamstrings isokinetic strength in volleyball and soccer players. J. Sports Med. Phys. Fit. 2004, 44, 119–125. [Google Scholar]
  45. Larson, L.; Bergmann, T.F. Taking on the fall: The etiology and prevention of falls in the elderly. Clin. Chiropr. 2008, 11, 148–154. [Google Scholar] [CrossRef]
  46. De Groot, S.; Dallmeijer, A.J.; Bessems, P.J.; Lamberts, M.L.; van der Woude, L.H.; Janssen, T.W. Comparison of muscle strength, sprint power and aerobic capacity in adults with and without cerebral palsy. J. Rehabil. Med. 2012, 44, 932–938. [Google Scholar] [CrossRef] [Green Version]
  47. Damiano, D.L.; Abel, M.F. Functional outcomes of strength training in spastic cerebral palsy. Arch. Phys. Med. Rehabil. 1998, 79, 119–125. [Google Scholar] [CrossRef]
  48. Bjornson, K.F.; Belza, B.; Kartin, D.; Logsdon, R.; McLaughlin, J.F. Ambulatory Physical Activity Performance in Youth With Cerebral Palsy and Youth Who Are Developing Typically. Phys. Ther. 2007, 87, 248–257. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  49. Rolland, Y.; Lauwers-Cances, V.; Pahor, M.; Fillaux, J.; Grandjean, H.; Vellas, B. Muscle strength in obese elderly women: Effect of recreational physical activity in a cross-sectional study. Am. J. Clin. Nutr. 2004, 79, 552–557. [Google Scholar] [CrossRef] [Green Version]
  50. Lebrun, C.E.I.; van der Schouw, Y.T.; de Jong, F.H.; Grobbee, D.E.; Lamberts, S.W. Fat mass rather than muscle strength is the major determinant of physical function and disability in postmenopausal women younger than 75 years of age. Menopause 2006, 13, 474–481. [Google Scholar] [CrossRef]
  51. Miscione, M.T.; Bruno, F.; Ripamonti, C.; Nervuti, G.; Orsini, R.; Faldini, C.; Pellegrini, M.; Cocchi, D.; Merlini, L. Body Composition, Muscle Strength, and Physical Function of Patients with Bethlem Myopathy and Ullrich Congenital Muscular Dystrophy. Sci. World J. 2013, 2013, 152684. [Google Scholar] [CrossRef] [Green Version]
  52. Saether, R.; Helbostad, J.L.; Adde, L.; Brændvik, S.; Lydersen, S.; Vik, T. Gait characteristics in children and adolescents with cerebral palsy assessed with a trunk-worn accelerometer. Res. Dev. Disabil. 2014, 35, 1773–1781. [Google Scholar] [CrossRef] [Green Version]
  53. Wang, Y.; Watanabe, K. Limb dominance related to the variability and symmetry of the vertical ground reaction force and center of pressure. J. Appl. Biomech. 2012, 28, 473–478. [Google Scholar] [CrossRef] [PubMed]
  54. Davids, J.R.; Bagley, A.M.; Bryan, M. Kinematic and kinetic analysis of running in children with cerebral palsy. Dev. Med. Child Neurol. 2008, 40, 528–535. [Google Scholar] [CrossRef] [PubMed]
  55. Houlihan, C.M.; Stevenson, R.D. Bone Density in Cerebral Palsy. Phys. Med. Rehabil. Clin. N. Am. 2009, 20, 493–508. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  56. Hartman, C.; Brik, R.; Tamir, A.; Merrick, J.; Shamir, R. Bone quantitative ultrasound and nutritional status in severely handicapped institutionalized children and adolescents. Clin. Nutr. 2004, 23, 89–98. [Google Scholar] [CrossRef]
  57. Wren, T.A.L.; Lee, D.C.; Kay, R.M.; Dorey, F.J.; Gilsanz, V. Bone density and size in ambulatory children with cerebral palsy. Dev. Med. Child Neurol. 2010, 53, 137–141. [Google Scholar] [CrossRef] [Green Version]
  58. Vicente-Rodriguez, G.; Jimenez-Ramirez, J.; Ara, I.; Serrano-Sanchez, J.A.; Dorado, C.; Calbet, J.A.L. Enhanced bone mass and physical fitness in prepubescent footballers. Bone 2003, 33, 853–859. [Google Scholar] [CrossRef]
  59. Visser, M.; Deeg, D.J.H.; Lips, P. Low Vitamin D and High Parathyroid Hormone Levels as Determinants of Loss of Muscle Strength and Muscle Mass (Sarcopenia): The Longitudinal Aging Study Amsterdam. J. Clin. Endocrinol. Metab. 2003, 88, 5766–5772. [Google Scholar] [CrossRef]
  60. Webb, A.R.; Kazantzidis, A.; Kift, R.C.; Farrar, M.D.; Wilkinson, J.; Rhodes, L.E. Meeting Vitamin D Requirements in White Caucasians at UK Latitudes: Providing a Choice. Nutrients 2018, 10, 497. [Google Scholar] [CrossRef] [Green Version]
  61. Montenegro, K.R.; Cruzat, V.; Carlessi, R.; Newsholme, P. Mechanisms of vitamin D action in skeletal muscle. Nutr. Res. Rev. 2019, 32, 192–204. [Google Scholar] [CrossRef] [Green Version]
  62. O’Brien, S.M.; Carroll, T.J.; Barber, L.A.; Lichtwark, G.A. Plantar flexor voluntary activation capacity, strength and function in cerebral palsy. Graefe’s Arch. Clin. Exp. Ophthalmol. 2021, 121, 1733–1741. [Google Scholar] [CrossRef]
  63. Michelsen, S.I.; Flachs, E.M.; Uldall, P.; Eriksen, E.L.; McManus, V.; Parkes, J.; Parkinson, K.N.; Thyen, U.; Arnaud, C.; Beckung, E.; et al. Frequency of participation of 8–12-year-old children with cerebral palsy: A multi-centre cross-sectional European study. Eur. J. Paediatr. Neurol. 2009, 13, 165–177. [Google Scholar] [CrossRef] [PubMed]
  64. Hicks, K.M.; Onambélé, G.L.; Winwood, K.; Morse, C. Muscle Damage following Maximal Eccentric Knee Extensions in Males and Females. PLoS ONE 2016, 11, e0150848. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  65. McMahon, G.; Morse, C.I.; Winwood, K.; Burden, A.; Onambélé, G.L. Gender associated muscle-tendon adaptations to resistance training. PLoS ONE 2018, 13, e0197852. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  66. Barber, L.; Barrett, R.; Lichtwark, G. Passive muscle mechanical properties of the medial gastrocnemius in young adults with spastic cerebral palsy. J. Biomech. 2011, 44, 2496–2500. [Google Scholar] [CrossRef] [PubMed]
  67. Bonnick, S.L. Osteoporosis in men and women. Clin. Cornerstone 2006, 8, 28–39. [Google Scholar] [CrossRef]
Figure 1. Pearson correlations between serum 25(OH)D and KE iMVC/LBM in men with CP (black filled dots) and TDC (grey filled dots).
Figure 1. Pearson correlations between serum 25(OH)D and KE iMVC/LBM in men with CP (black filled dots) and TDC (grey filled dots).
Nutrients 13 02481 g001
Table 1. Classification and impairment details of participants.
Table 1. Classification and impairment details of participants.
CP Diplegic n = 6CP Hemiplegic n = 18CP Total
n = 24
TDC
n = 24
GMFCSI-1818-
II6-6-
IFCPF classification (FT)14-4-
221517-
3-33-
Side measuredLeft57124
Right1111220
GMFCS, Gross Motor Function Classification Score; IFCPF, International Federation of Cerebral Palsy Football.
Table 2. Anthropometric and physical activity data in men with cerebral palsy (CP) and PA matched controls (TDC).
Table 2. Anthropometric and physical activity data in men with cerebral palsy (CP) and PA matched controls (TDC).
CPTDCp
Age (y)21.0 ± 1.425.3 ± 3.1<0.001
Height (m) 1.74 ± 0.071.76 ± 0.080.335
BM (kg)66.4 ± 10.176.5 ± 10.20.001
LBM (kg)57.5 ± 9.864.0 ± 9.30.025
BMI (kg∙m−2)21.9 ± 2.124.7 ± 2.3<0.001
BF%13.5 ± 4.416.5 ± 4.40.023
LBM%86.5 ± 4.483.5 ± 4.40.023
GMFCS (mean (range))1.2 (1–2)--
IFCPF classification (mean (range))2 (1–3)--
IPAQ score8384 ± 47207178 ± 56260.484
PA frequency (days/week)4.00 ± 1.844.33 ± 1.860.535
PA duration (mins/session)65.2 ± 28.377.9 ± 17.40.066
PA total time (mins/week)251.3 ± 135.0320.2 ± 149.50.100
Step count (steps/day)8218 ± 32926943 ± 22950.126
Reported as mean ± SD and p values; BMI, BM index; BF%, body fat percentage; LBM, lean body mass; GMFCS, Gross Motor Function Classification Score; IFCPF, International Federation of Cerebral Palsy Football; IPAQ, international physical activity questionnaire; PA, physical activity.
Table 3. Neuromuscular outcome measures in men with cerebral palsy (CP) and PA matched controls (TDC).
Table 3. Neuromuscular outcome measures in men with cerebral palsy (CP) and PA matched controls (TDC).
CPTDCp
VL ACSA (cm2) 27.1 ± 5.434.4 ± 8.30.001
KE iMVC (N) 398.8 ± 94.3601.4 ± 152.4<0.001
KE iMVC/VL ACSA (N∙cm−2)15.2 ± 3.1317.6 ± 4.150.048
KE iMVC/BM (N∙kg−1)6.07 ± 1.417.60 ± 1.650.004
KE iMVC/LBM (N∙kg−1)7.11 ± 1.809.15 ± 2.060.002
VJ no arms (m)0.40 ± 0.040.50 ± 0.05<0.001
VJ with arms (m)0.45 ± 0.040.56 ± 0.05<0.001
Grip strength (kg)39.8 ± 11.945.6 ± 7.40.280
10 m sprint (s)1.90 ± 0.141.86 ± 0.120.302
Reported as mean ± SD and p values; VL ACSA, vastus lateralis anatomical cross-sectional area; KE iMVC, knee extensor isometric maximal voluntary contraction; BM, BM; VJ, vertical jump.
Table 4. Tibia and radius bone ultrasound (Tus and Zus score) in men with cerebral palsy (CP) and PA matched controls (TDC).
Table 4. Tibia and radius bone ultrasound (Tus and Zus score) in men with cerebral palsy (CP) and PA matched controls (TDC).
CPTDCp
Radius Tus score−1.32 ± 1.120.43 ± 0.79<0.001
Radius Zus score−0.93 ± 1.120.64 ± 0.79<0.001
Tibia Tus score 0.50 ± 1.62−0.03 ± 0.800.158
Tibia Zus score0.55 ± 1.60−0.03 ± 0.820.143
Reported as mean ± SD and p values.
Table 5. Vitamin D outcome measures in men with cerebral palsy (CP) and PA matched controls (TDC).
Table 5. Vitamin D outcome measures in men with cerebral palsy (CP) and PA matched controls (TDC).
CPTDCp
25(OH)D (ng·mL−1)18.7 ± 7.316.9 ± 7.10.381
PTH (pg·mL−1)25.1 ± 10.231.8 ± 14.20.710
Dietary intake (IU·day−1)166 ± 186205 ± 1240.540
TSE score27.4 ± 2.428.6 ± 2.10.790
Reported as mean ± SD and p values; 25(OH)D, 25-hydroxyvitamin D; PTH, parathyroid hormone; TSE, total sun exposure.
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Langley, C.K.; Onambélé-Pearson, G.L.; Sims, D.T.; Hussain, A.; Buffey, A.J.; Bardwell, H.L.; Morse, C.I. Musculoskeletal Health in Active Ambulatory Men with Cerebral Palsy and the Impact of Vitamin D. Nutrients 2021, 13, 2481. https://0-doi-org.brum.beds.ac.uk/10.3390/nu13072481

AMA Style

Langley CK, Onambélé-Pearson GL, Sims DT, Hussain A, Buffey AJ, Bardwell HL, Morse CI. Musculoskeletal Health in Active Ambulatory Men with Cerebral Palsy and the Impact of Vitamin D. Nutrients. 2021; 13(7):2481. https://0-doi-org.brum.beds.ac.uk/10.3390/nu13072481

Chicago/Turabian Style

Langley, Christina Kate, Gladys Leopoldine Onambélé-Pearson, David Thomas Sims, Ayser Hussain, Aidan John Buffey, Holly Leigh Bardwell, and Christopher Ian Morse. 2021. "Musculoskeletal Health in Active Ambulatory Men with Cerebral Palsy and the Impact of Vitamin D" Nutrients 13, no. 7: 2481. https://0-doi-org.brum.beds.ac.uk/10.3390/nu13072481

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop