The use of machine learning on administrative and survey data to predict suicidal thoughts and behaviors: a systematic review.

Background: Machine learning is a promising tool in the area of suicide prevention due to its ability to combine the effects of multiple risk factors and complex interactions. The power of machine learning has led to an influx of studies on suicide prediction, as well as a few recent reviews. Our study distinguished between data sources and reported the most important predictors of suicide outcomes identified in the literature. Objective: Our study aimed to identify studies that applied machine learning techniques to administrative and survey data, summarize performance metrics reported in those studies, and enumerate the important risk factors of suicidal thoughts and behaviors identified. Methods: A systematic literature search of PubMed, Medline, Embase, PsycINFO, Web of Science, Cumulative Index to Nursing and Allied Health Literature (CINAHL), and Allied and Complementary Medicine Database (AMED) to identify all studies that have used machine learning to predict suicidal thoughts and behaviors using administrative and survey data was performed. The search was conducted for articles published between January 1, 2019 and May 11, 2022. In addition, all articles identified in three recently published systematic reviews (the last of which included studies up until January 1, 2019) were retained if they met our inclusion criteria. The predictive power of machine learning methods in predicting suicidal thoughts and behaviors was explored using box plots to summarize the distribution of the area under the receiver operating characteristic curve (AUC) values by machine learning method and suicide outcome (i.e., suicidal thoughts, suicide attempt, and death by suicide). Mean AUCs with 95% confidence intervals (CIs) were computed for each suicide outcome by study design, data source, total sample size, sample size of cases, and machine learning methods employed. The most important risk factors were listed. Results: The search strategy identified 2,200 unique records, of which 104 articles met the inclusion criteria. Machine learning algorithms achieved good prediction of suicidal thoughts and behaviors (i.e., an AUC between 0.80 and 0.89); however, their predictive power appears to differ across suicide outcomes. The boosting algorithms achieved good prediction of suicidal thoughts, death by suicide, and all suicide outcomes combined, while neural network algorithms achieved good prediction of suicide attempts. The risk factors for suicidal thoughts and behaviors differed depending on the data source and the population under study. Conclusion: The predictive utility of machine learning for suicidal thoughts and behaviors largely depends on the approach used. The findings of the current review should prove helpful in preparing future machine learning models using administrative and survey data. Systematic review registration: https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42022333454 identifier CRD42022333454.

Effect of eight weeks respiratory muscle training on respiratory capacity, functional capacity and quality of life on subjects with mild to moderate relapsing-remitting multiple sclerosis: A single-blinded randomized controlled trial.

BACKGROUND: Multiple Sclerosis (MS) is a chronic inflammatory disease of the nervous system leading to muscle weakness, including the respiratory muscles that cause pulmonary complications, impair functional capacity, increased fatigue, and as a result decreases the quality of life. AIM: The purpose of the present study is to examine the influence of 8 weeks of respiratory muscle training (RMT) on pulmonary function and respiratory muscle strength in MS patients. METHODS: The present study was a single-blind, randomized controlled trial that was conducted on 36 (27 Female, 9 Male) relapsing-remitting MS patients who were definitively diagnosed by a neurologist and randomly were divided into intervention and control groups. Both groups were educated on lifestyle modification with an emphasis on regular physical activity. In addition, the intervention group was prescribed eight weeks of respiratory muscle training with a threshold resistance device, daily, twice a day for three sets of 15 repetitions per set. Maximal expiratory pressure (PImax), maximal expiratory pressure (PEmax), spirometric indices, functional tests (six-minute walk test, timed up and go test), fatigue questionnaire, and questionnaire of quality of life were assessed before and after trials. RESULTS: A total of 36 patients (75% female; mean age 38.00(8.86) years; BMI 26.56(2.64) kg/m2) were included in the study. The strength of inspiratory and expiratory muscles, respiratory function, fatigue, and quality of life were significantly improved in the intervention group (p<0.005). In addition, there was a significant improvement in the rate of fatigue and quality of life in all their dimensions (p<0.005). Only in the six-minute walk test, no significant improvement was seen in the intervention group compared to the control group (p = 0.262). CONCLUSION: Findings could help therapists to provide MS patients with more effective respiratory muscle training protocols to maximize the benefits of rehabilitation.

The Effect of Dry Needling on Lower Limb Dysfunction in Poststroke Survivors.

BACKGROUND: Spasticity is one of the main complications in poststroke survivors leading to difficulties in walking and standing resulting in high levels of disability. OBJECTIVE: The aim of the study was to investigate the effects of deep dry needling on lower limb dysfunction in poststroke spastic patients. METHODS: A randomized clinical trial conducted in poststroke survivors who were assigned to one of 2 groups: Deep dry needling (intervention group) and sham dry needling (control group). The primary outcome measures were Modified Modified Ashworth Scale (MMAS) and functional tests (timed up and go test, 10-meter walk test). Secondary outcome measures were active ankle dorsiflexion range of motion (AROM), passive ankle dorsiflexion range of motion (PROM), single leg stance test, and Barthel index. All measurements were assessed at baseline (T0), immediately after the third session 1 week later (T1), and 1 month after the end of the intervention (T2). RESULTS: We recruited 24 patients (71% male; mean age 57 ± 10 years; 26.4 ± 1.8 kg•m-2; time since event: 25.2 ± 12.5 months). There were significant improvements in MMAS, timed up and go test, 10-meter walk test, Barthel scale, and PROM (P < .05) in the intervention group compared to controls across the time-points. There were no significant improvements in AROM assessments (P > .05). CONCLUSIONS: Deep dry needling decreases muscle spasticity and improves lower limb function and gait speed in poststroke survivors.

Acute effects of one session dry needling on a chronic golfer's elbow disability.

A 40-year-old retired male elite athlete with more than 20 years' experience in wrestling and bodybuilding with mild elbow pain and disability of 2 years presented to our clinic reporting an acute pain in medial aspect of the elbow. Physical examination revealed symptoms of left Golfer's elbow during target-directed movements. The results of sonography in left elbow showed low level of hypo echo irregularity and increased blood flow in color Doppler mode in the common flexor origin. The pain amplitude was moderate at rest and extremely high during kinetic and intentional movements. During last 2 years, the patient tried different types of therapy including manual therapy, Transcutaneous electrical nerve stimulation and also received a variety of injections none of which were effective for reducing pain and disability. This is the first study showed that one sessions of dry needling improved both pain and disability and helped to return to a normal life and exercise training.

A concise rehabilitation protocol for sub-acute and chronic non-specific neck pain.

There is increasing evidence in support of multidisciplinary approaches for management of chronic neck pain. Although presence of different team members is one of the strengths of these approaches, it can limit the access to these treatments. The main objective of this study is designing and investigating the efficacy of a concise rehabilitation program. Thirty-nine patients with sub-acute and chronic non-specific neck pain underwent an 8-week rehabilitation program. Baseline and 8 weeks' follow-up data regarding neck pain (visual analog scale, neck disability index and quality of life) were compared using paired T test. After eight weeks of study, pain and disability significantly decreased: -3.8 of 10 (95% CI: -4.6 to -3.0) (p-value < 0.001) for pain and -18.4 of 100 (95% CI: -23.7 to -13.2) (p-value < 0.001) for disability. Also, all SF-36 domain scales improved significantly. By using this concise rehabilitation approach, pain, disability, and quality of life improved significantly in patients with sub-acute and chronic non-specific neck pain.

Effect of abdominal resistance exercise on abdominal subcutaneous fat of obese women: a randomized controlled trial using ultrasound imaging assessments.

OBJECTIVES: The aim of this study was to compare the effect of diet and an abdominal resistance training program to diet alone on abdominal subcutaneous fat thickness and waist circumference of overweight and obese women. METHODS: This randomized clinical trial included 40 overweight and obese women randomly divided into 2 groups: diet only and diet combined with 12 weeks of abdominal resistance training. Waist and hip circumferences and abdominal skin folds of the subjects were measured at the beginning and 12 weeks after the interventions. In addition, abdominal subcutaneous fat thickness of the subjects was measured using ultrasonography. Percentage body fat and lean body mass of all the subjects were also measured using a bioelectric impedance device. RESULTS: After 12 weeks of intervention, the weight of participants in both groups decreased; but the difference between the 2 groups was not significant (P = .45). Similarly, other variables including abdominal subcutaneous fat, waist circumference, hip circumference, body mass index, body fat percentage, and skin fold thickness were reduced in both groups; but there were no significant differences between the groups. CONCLUSIONS: This study found that abdominal resistance training besides diet did not reduce abdominal subcutaneous fat thickness compared to diet alone in overweight or obese women.

The effect of abdominal resistance training and energy restricted diet on lateral abdominal muscles thickness of overweight and obese women.

The role of transabdominal muscles (external oblique, internal oblique and transversus abdominis) on core stability has been shown previously. Energy restricted diet and abdominal resistance training are commonly used by overweight and obese people to reduce their weight. In this study we investigated the impact of 12 weeks concurrent energy restricted diet and abdominal resistance training on the thickness of the lateral abdominal muscles of 19 obese and overweight women employing ultrasonography in resting and drawing-in maneuvers. The results showed significant increase of the muscle thicknesses during drawing-in maneuver after 12 weeks intervention. Based on our findings, it can be concluded that 12 weeks concurrent abdominal resistance training and energy restricted diet in addition to weight loss lead to improvement of transabdominal muscles thickness in obese and overweight people. Considering the role of these muscles in core stability, using this therapeutic protocol in obese people, particularly in those who have weakness of these muscles might be helpful.