Don't forget to mind the mind: a prospective cohort study over 12 months on mental health symptoms in active professional male footballers.

AIMS: We examined the prevalence and incidence of mental health symptoms (MHS) in active professional male footballers over a 12-month period and investigated if MHS was associated with severe injuries or surgeries. PARTICIPANTS AND METHODS: Football Players Worldwide (FIFPRO) affiliated national unions invited active professional male football players to participate in the study. MHS was operationalised in symptoms of anxiety, disordered eating, depression, distress, sleep disturbance, alcohol misuse and drug misuse, all being assessed with validated questionnaires. RESULTS: Of the 101 participants enrolled, the prevalence of distress was 53% and MHS was between 6% for drug misuse and 48% for alcohol misuse. The incidence of distress was 29% and MHS ranged from 1% for anxiety to 11% for sleep disturbance. At baseline, players suffering from injury/surgery were more likely to report depression (OR 1.35; 95%CI 1.10-1.70) and disordered eating (OR 1.22; 95%CI 1.02-1.47). At follow-up, players who suffered injury or surgery were inclined to report distress (OR 2.15; 95%CI 1.26-4.31) and drug misuse (OR 2.05; 95%CI 1.01-4.04). CONCLUSION: There seems to be a greater prevalence of MHS in active professional male footballers than in the global population and other sports. After severe injury/surgery, the risk of developing MHS is increased, confirming that healthcare professionals should be aware of the mental health of injured players.

Neurocognitive Function Domains Are Not Affected in Active Professional Male Footballers, but Attention Deficits and Impairments Are Associated with Concussion.

OBJECTIVE: To determine the neurocognitive function of active professional male footballers, determine whether deficits/impairments exist, and investigate the association between previous concussion(s) and neurocognitive function. METHODS: An observational cross-sectional study conducted via electronic questionnaires. The CNS Vital Signs online testing system was used to evaluate neurocognitive function. RESULTS: Of the 101 participants, 91 completed the neurocognitive function testing. Neurocognitive function domain deficits or impairments were unlikely in 54.5-89.1%, slight in 5.9-21.8%, moderate in 1.0-9.9%, and likely in 4.0-14.9% of participants. A history of zero concussions found a significant association between the neurocognitive index (Odds Ratio [OR] 0.6; 95% CI 0.2-0.4) and complex attention domain (OR 0.3; 95% CI 0.1-0.9), with 40% and 70% less odds, respectively, of deficit/impairment. Among the 54.5% who reported any number of concussions, there were increased odds of neurocognitive domain deficits/impairments for complex attention (CA) [3.4 times more] and simple attention (SA) [3.1 times more]. CONCLUSION: In the active professional male footballer, most neurocognitive functions do not have significant deficits/impairments. The odds of neurocognitive function deficit/impairment were significantly increased threefold for CA and SA in those who reported a history of any concussion(s).

"I find it hard to change poor food habits": Measuring food choice motives in an emerging economy.

Food choices are driven by an array of motives that have been approached, determined and quantified in a number of ways, mainly in developed countries. The objective of this study was to better understand the motives behind food choices in an emerging economy by collecting information from urban people in South Africa in a series of four studies. (1) Items generated through focus group discussions with low, middle and high income participants by Magano et al. (2023) were checked for content and face validity and (2) 123 statements derived from them were evaluated by 621 respondents. After exploratory factor analysis (EFA), 46 statements best representing the motivational space were (3) presented to another group of respondents (n = 259). Here, the EFA resulted in a 31-item, 7-factor food choice questionnaire for emerging economies (FCQ-EE) which was (4) confirmed by a nationwide sample (n = 814) and further refined to an alternative 19-item, 7-factor solution. The emerging factors were: Healthy eating constraints (HEC), Frugality (FR), Emotional eating (EE), Meat appeal (MA), Weather (WE), Quality seeking (QS) and Cooking constraints (CC). Whether used in the 31-item or 19-item format, this set of statements highlights factors underlying food choice in an emerging economy and offers a way to study their importance in similar contexts. Further research is needed to show the extent to which these factors can predict actual food choices.

Quantitative Chest X-ray Radiomics for Therapy Response Monitoring in Patients with Pulmonary Tuberculosis.

Tuberculosis (TB) remains the second leading cause of death globally from a single infectious agent, and there is a critical need to develop improved imaging biomarkers and aid rapid assessments of responses to therapy. We aimed to utilize radiomics, a rapidly developing image analysis tool, to develop a scoring system for this purpose. A chest X-ray radiomics score (RadScore) was developed by implementing a unique segmentation method, followed by feature extraction and parameter map construction. Signature parameter maps that showed a high correlation to lung pathology were consolidated into four frequency bins to obtain the RadScore. A clinical score (TBscore) and a radiological score (RLscore) were also developed based on existing scoring algorithms. The correlation between the change in the three scores, calculated from serial X-rays taken while patients received TB therapy, was evaluated using Spearman's correlation. Poor correlations were observed between the changes in the TBscore and the RLscore (0.09 (p-value = 0.36)) and the TBscore and the RadScore (0.02 (p-value = 0.86)). The changes in the RLscore and the RadScore had a much stronger correlation of 0.22, which is statistically significant (p-value = 0.02). This shows that the developed RadScore has the potential to be a quantitative monitoring tool for responses to therapy.

The Effect of a Bacillus Probiotic and Essential Oils Compared to an Ionophore on the Rumen Microbiome Composition of Feedlot Cattle.

The rising concern of antibiotic growth promoter use in livestock has necessitated the investigation into alternative feed additives. The effect of a probiotic and essential oils to an ionophore on the rumen microbiome composition of Bonsmara bulls raised under feedlot conditions was compared. Forty-eight Bonsmara weaners were allocated to four groups: a group with basal diet (CON) and three groups supplemented with monensin (MON), probiotic (PRO), and essential oils (EO). During the 120 days feeding period, rumen content was collected from four animals per group within each phase via a stomach tube for 16S rRNA and internal transcribed spacer (ITS) sequencing as well as volatile fatty acid analysis. In the starter phase, MON had a significantly lower acetate to propionate ratio and a higher Succinivibrionaceae abundance. The abundance of Lachnospiraceae was significantly higher in EO compared to MON. In the finisher phase, PRO had a significantly higher bacterial diversity. The alpha diversity did not differ between the fungal populations of the groups. The abundance of Proteobacteria was the lowest in PRO compared to the other groups. Limited variation was observed between the rumen microbiome composition of monensin compared to the other treatment groups, indicating that these alternatives can be considered.

Determination of the Prevalence of Knee and Hip Clinical Osteoarthritis in the Active Professional Male Footballer and Its Association with Pain, Function, Injury and Surgery.

OBJECTIVE: To comment on and explore (1) the prevalence of clinical knee and hip osteoarthritis (OA); (2) the association between pain or function and clinical knee or hip OA; (3) the association between injury or surgery and clinical knee or hip OA. METHODS: Participants were recruited from FIFPRO members. A total of 101 footballers consented to answer (1) a developed questionnaire, (2) patient-reported outcome measures, and (3) be evaluated by their team physician for clinical knee or hip OA. RESULTS: Of the 53% evaluated for clinical knee and hip OA, a prevalence of 9.43% and 7.55% of knee and hip OA, respectively, was found. There was a significant and strong association between knee (p = 0.033; Cramers v Value = 0.523) and hip pain (p = 0.005; Cramers v Value = 0.602) and clinical OA. A significant association existed between Hip dysfunction and Osteoarthritis Outcome short form Scores and clinical OA of the hip (p = 0.036). The odds of clinical knee OA were 1.5 and 4.5 times more after one or more injuries or surgeries, respectively. There was no association between playing position and clinical OA. CONCLUSION: There is a low prevalence of a clinical knee or hip OA in the active professional male footballer. Pain may be a valid symptom to predict or monitor knee or hip OA. Validated assessment tools should be utilised to identify a negative effect on function. The odds of developing clinical OA in the knee with the number of injuries or surgeries. The hip presents with earlier clinical signs of OA compared to the knee.

Introducing a secondary segmentation to construct a radiomics model for pulmonary tuberculosis cavities.

PURPOSE: Accurate segmentation (separating diseased portions of the lung from normal appearing lung) is a challenge in radiomic studies of non-neoplastic diseases, such as pulmonary tuberculosis (PTB). In this study, we developed a segmentation method, applicable to chest X-rays (CXR), that can eliminate the need for precise disease delineation, and that is effective for constructing radiomic models for automatic PTB cavity classification. METHODS: This retrospective study used a dataset of 266 posteroanterior CXR of patients diagnosed with laboratory confirmed PTB. The lungs were segmented using a U-net-based in-house automatic segmentation model. A secondary segmentation was developed using a sliding window, superimposed on the primary lung segmentation. Pyradiomics was used for feature extraction from every window which increased the dimensionality of the data, but this allowed us to accurately capture the spread of the features across the lung. Two separate measures (standard-deviation and variance) were used to consolidate the features. Pearson's correlation analysis (with a 0.8 cut-off value) was then applied for dimensionality reduction followed by the construction of Random Forest radiomic models. RESULTS: Two almost identical radiomic signatures consisting of 10 texture features each (9 were the same plus 1 other feature) were identified using the two separate consolidation measures. Two well performing random forest models were constructed from these signatures. The standard-deviation model (AUC = 0.9444 (95% CI, 0.8762; 0.9814)) performed marginally better than the variance model (AUC = 0.9288 (95% CI, 0.9046; 0.9843)). CONCLUSION: The introduction of the secondary sliding window segmentation on CXR could eliminate the need for disease delineation in pulmonary radiomic studies, and it could improve the accuracy of CXR reporting currently regaining prominence as a high-volume screening tool as the developed radiomic models correctly classify cavities from normal CXR.