A blended face-to-face and smartphone intervention to improve suicide prevention literacy and help-seeking intentions among construction workers: a randomised controlled trial.

PURPOSE: In Australia and elsewhere, suicide rates among construction workers remain high. Construction workplaces are thus an important setting for targeted suicide prevention programs. This study aimed to compare suicide prevention literacy and help-seeking intentions among participants receiving face-to-face suicide prevention training, with those receiving face-to-face training augmented by a smartphone application. METHODS: A two-arm randomised controlled trial of a smartphone suicide prevention intervention was conducted among construction workers in four Australian states (trial registration number: ACTRN12619000625178). All participants received face-to-face training and were randomised to the control condition (face-to-face only, n = 575), or MATESmobile condition (face-to-face + smartphone application, n = 509). Surveys administered at baseline and 3-month follow-up measured suicide prevention literacy and help-seeking intentions for personal/emotional problems and suicidal thoughts. A mixed-model repeated measures (MMRM) analysis included all 1084 randomised participants. RESULTS: Outcomes did not differ significantly for suicide prevention literacy, nor help-seeking intentions from formal sources, informal sources outside the workplace, or no one (did not intend to seek help from anyone). However, relative to those in the control condition, those in the MATESmobile group showed greater increase in help-seeking intentions for emotional problems from a MATES worker/Connector (mean difference 0.54, 95% CI 0.22-0.87) and help-seeking intentions for suicidal thoughts from a workmate (mean difference 0.47, 95% CI 0.10-0.83) or MATES worker/Connector (mean difference 0.47, 95% CI 0.09-0.85). CONCLUSION: Results indicate that the MATESmobile application, together with face-to-face training, is beneficial in enhancing help-seeking intentions from MATES workers/Connectors and workmates to a greater extent than face-to-face training only. While this research provides some evidence that smartphone applications may support suicide prevention training, further research is needed.

Interpretable XGBoost Based Classification of 12-lead ECGs Applying Information Theory Measures From Neuroscience.

Automated ECG classification is a standard feature in many commercial 12-Lead ECG machines. As part of the Physionet/CinC Challenge 2020, our team, "Mad-hardmax", developed an XGBoost based classification method for the analysis of 12-Lead ECGs acquired from four different countries. Our aim is to develop an interpretable classifier that outputs diagnoses which can be traced to specific ECG features, while also testing the potential of information theoretic features for ECG diagnosis. These measures capture high-level interdependencies across ECG leads which are effective for discriminating conditions with multiple complex morphologies. On unseen test data, our algorithm achieved a challenge score of 0.155 relative to a winning score of 0.533, putting our submission in 24th position from 41 successful entries.

The effects of age on skeletal muscle and the phosphocreatine energy system: can creatine supplementation help older adults.

Creatine supplementation has been found to significantly increase muscle strength and hypertrophy in young adults (

Anthropometric estimations of percent body fat in NCAA Division I female athletes: a 4-compartment model validation.

Anthropometric equations, based on 2-compartment models, have been routinely used to estimate body composition in female college athletes; however, these equations are not without error. In an attempt to decrease the error associated with anthropometric equations, updated equations were developed using multiple-compartment models, although the validity of these equations has not yet been established. The purpose of the current investigation was to determine the validity of the updated anthropometric equations and compare them with previously validated generalized equations for estimating percent fat (%fat) in female athletes. Twenty-nine white female NCAA Division I athletes (20 +/- 1 years) volunteered to have their %fat estimated using anthropometric measurements. Skinfold equations included generalized and updated equations and a height and weight-based equation. %fat values were compared with a criterion 4-compartment model. All equations produced low total error (TE) (< or =3.38%fat) and SEE values (< or =2.97%fat) and high r values (r > or = 0.78). The 2 updated skinfold equations produced the highest constant error (CE) values, but the tightest limits of agreement (< or = -1.58 +/- 4.86%fat; CE +/- 2SD) compared with the 3 generalized Jackson et al. equations (< or =0.92 +/- 5.34%fat), whereas the limits of agreement for the height and weight-based equation (+/- 6.00%fat) were the widest. Compared with the updated skinfold equations, the generalized Jackson et al. skinfold equations produced nearly identical TE values. Results suggest that the updated skinfold equations are valid but not superior to the generalized Jackson et al. equations, and the height and weight-based equation of Fornetti et al. is not recommended due to the large individual error in this population. Additionally, more than 3 skinfold sites did not improve %fat values. Therefore, the Jackson et al. sum of 3 skinfold equation is the suggested skinfold equation in the white female NCAA Division I athletes.

Are Young Men Getting the Message? Age Differences in Suicide Prevention Literacy among Male Construction Workers.

Suicide is a leading cause of death among young men. Help-seeking is known to be poor among this group, and little is known about what interventions are most successful in improving suicide prevention literacy among young men. This research aims to examine: (1) age differences in beliefs related to suicide prevention literacy and attitudes to the workplace in addressing mental health among male construction workers; (2) age differences in response to a workplace suicide prevention program. Pre- and post-training survey data of 19,917 male respondents were obtained from a workplace training program database. Linear regression models and predictive margins were computed. Mean differences in baseline beliefs, and belief change were obtained for age groups, and by occupation. Young men demonstrated poorer baseline suicide prevention literacy but were more likely to consider that mental health is a workplace health and safety issue. There was also evidence that young men employed in manual occupations had poorer suicide prevention literacy than older men, and young men employed in professional/managerial roles. The youngest respondents demonstrated the greatest intervention-associated change (higher scores indicating more favourable belief change) to People considering suicide often send out warning signs (predicted mean belief change 0.47, 95% CI 0.43, 0.50 for those aged 15⁻24 years compared to 0.38, 95% CI 0.36, 0.41 for men aged 45 years and over), and to The construction industry must do something to reduce suicide rates (predicted mean belief change 0.17, 95% CI 0.15, 0.20 for those aged 15⁻24 years compared to 0.12, 95% CI 0.10, 0.14 among men aged 45 years and over). Results indicate that while suicide prevention literacy may be lower among young men, this group show amenability to changing beliefs. There were some indications that young men have a greater propensity to regard the workplace as having a role in reducing suicide rates and addressing mental health, highlighting opportunity for workplace interventions.

Percent body fat estimations in college men using field and laboratory methods: a three-compartment model approach.

BACKGROUND: Methods used to estimate percent body fat can be classified as a laboratory or field technique. However, the validity of these methods compared to multiple-compartment models has not been fully established. The purpose of this study was to determine the validity of field and laboratory methods for estimating percent fat (%fat) in healthy college-age men compared to the Siri three-compartment model (3C). METHODS: Thirty-one Caucasian men (22.5 +/- 2.7 yrs; 175.6 +/- 6.3 cm; 76.4 +/- 10.3 kg) had their %fat estimated by bioelectrical impedance analysis (BIA) using the BodyGram computer program (BIA-AK) and population-specific equation (BIA-Lohman), near-infrared interactance (NIR) (Futrex(R) 6100/XL), four circumference-based military equations [Marine Corps (MC), Navy and Air Force (NAF), Army (A), and Friedl], air-displacement plethysmography (BP), and hydrostatic weighing (HW). RESULTS: All circumference-based military equations (MC = 4.7% fat, NAF = 5.2% fat, A = 4.7% fat, Friedl = 4.7% fat) along with NIR (NIR = 5.1% fat) produced an unacceptable total error (TE). Both laboratory methods produced acceptable TE values (HW = 2.5% fat; BP = 2.7% fat). The BIA-AK, and BIA-Lohman field methods produced acceptable TE values (2.1% fat). A significant difference was observed for the MC and NAF equations compared to both the 3C model and HW (p < 0.006). CONCLUSION: Results indicate that the BP and HW are valid laboratory methods when compared to the 3C model to estimate %fat in college-age Caucasian men. When the use of a laboratory method is not feasible, BIA-AK, and BIA-Lohman are acceptable field methods to estimate %fat in this population.

Shifting Beliefs about Suicide: Pre-Post Evaluation of the Effectiveness of a Program for Workers in the Construction Industry.

Suicide is a significant health problem that is known to disproportionately affect those employed in manual occupations, including construction workers and tradespeople. Universal General Awareness Training (GAT) was part of a multi-component suicide prevention program in the Australian construction industry. The program's aims were to increase awareness of mental health and suicide, reduce stigma, and encourage help-seeking and help-offering behaviours. This paper sought to examine the effectiveness of the GAT program in shifting suicide beliefs. Pre- and post-training survey data of 20,125 respondents was obtained from a database of GAT evaluation results between 2016 and 2018. Generalized estimating equation (GEE) models were fitted to examine belief changes, and predictive margins and their SEs were computed. Mean differences in belief change were obtained for the overall sample, and by occupation. Modest but significant favourable shifts in three of the four beliefs assessed were observed following GAT. Managers and professionals showed greater propensity to shift beliefs, and Labourers and Machinery Operators and Drivers showed least. Results suggest that GAT can successfully shift some beliefs regarding suicide and mental health at least in the short term, but highlight the need to tailor communication to vulnerable occupational groups.