Objective: Compare the gut microbiome composition among individuals with acute spinal cord injury (A-SCI), long-standing SCI (L-SCI), vs. able-bodied (AB) controls. Design: Cross-sectional study. Setting: The University of Alabama at Birmingham. Participants: Seven adults with A-SCI (36 ± 12 years, 2F/5M, C4-T10, and American Spinal Injury Association Impairment Scale [AIS] A–D), 25 with L-SCI (46 ± 13 years, 6F/19M, C4-L1, and AIS A–D), and 25 AB controls (42 ± 13 years, 9F/16M). Methods: Stool samples were collected after a median of 7 days and 18 years after injury in the A-SCI and L-SCI groups, respectively. Gut microbiome composition was analyzed using the 16S rRNA sequencing technique and QIIME software. The abundances of bacteria communities among groups were compared using the Kruskal–Wallis test adjusted for age. Results: Several alpha diversity indices were different among groups (Chao1, Observed species, and Phylogenetic Diversity), but not others (Shannon and Simpson). Beta diversity differed among each pair of groups (P < 0.05). A number of microbial communities were differentially abundant among the groups (P < 0.05). Conclusion: Our results revealed differences in the gut microbiome composition among groups. Compared to the AB controls, the SCI groups demonstrated microbiome profiles that shared features linked to metabolic syndrome, inflammation-related bowel disorders, depressive disorders, or antibiotics use, whereas the L-SCI group’s microbiome included features linked to reduced physical activity compared to the A-SCI and AB controls. Our results provided preliminary data and a scientific foundation for future studies investigating the impact of the gut microbiome composition on long-term health in individuals with SCI.

The purpose of this study was to investigate the effects of virtual reality (VR) on postural control, posture, and kinesiophobia in patients with chronic neck pain (CNP). Forty-one participants with CNP were randomly allocated to the VR and control groups. The VR group experienced VR with glasses for 20 minutes and then performed motor control (MC) exercises for 20 minutes. The control group received only MC exercises for 40 minutes. Both groups received 18 sessions over 6 weeks. Computerized dynamic posturography outcomes, including sensory organization test (SOT), limits of stability, and unilateral stance tests, gait speed, forward head posture (FHP), shoulder protraction (SP), cervical lordosis angle, kinesiophobia, and exercise compliance were recorded. The VR group had more effects regarding composite equilibrium (Cohen's d = 1.20) of SOT and kinesiophobia (Cohen's d = -0.96), P < .05). Also, the VR group was more effective in exercise compliance (P < .05). Contrary to these results, the control group was more effective in correcting FHP and SP (Cohen's d > 0.7, P < .05). Virtual reality seemed to have an effect on postural control, posture, and kinesiophobia in patients with chronic neck pain.

To determine the factors affecting the performance of the deep cervical flexors (DCFs) in young people using smartphones.Eighty-six individuals were enrolled in this study. Joint position sense err...

Background/aim: The Profile Fitness Mapping neck questionnaire (ProFitMap-neck) is a reliable and valid assessment instrument for measuring neck-related symptoms and functional limitations in people with neck pain, but a Turkish version of it had not been published. The purpose of this study was to investigate the adaptation, validity, and intrarater reliability of the Turkish version of the ProFitMap-neck. Materials and methods: Two hundred and thirty-five individuals with chronic neck pain were enrolled in the study. Intrarater reliability was assessed by intraclass correlation coefficient (ICC) and Cronbach's alpha was calculated for internal consistency. For concurrent validity, ProlitMap-neck scores were compared with neck disability index (NDI) and visual analoguepain scale (VAS) scores using Pearson's correlation coefficient analysis. 'I he ProFitMap-neck, NDI, VAS, and short form health survey (SF-36) were administered to all participants. Results: For intrarater analysis, ICC ranged between 0.72 and 0.84. The total score was 0.83, indicating excellent reliability. The correlation of the ProFitMap-neck with NDI and VAS was 0.71 and 0.68, respectively, indicating good concurrent validity. Conclusion: The ProFitMap-neck is an evaluation instrument with sufficient validity and reliability to be used for evaluating Turkish patients with neck pain. Use of this scale can reveal how, how often, and how much these patients' pain affects their symptoms and functional activities.