Categories
Nevin Manimala Statistics

Prediction of non-exercise activity thermogenesis (NEAT) using multiple linear regression in healthy Korean adults: a preliminary study

Phys Act Nutr. 2021 Mar;25(1):23-29. doi: 10.20463/pan.2021.0004. Epub 2021 Mar 31.

ABSTRACT

PURPOSE: This preliminary study aimed to develop a regression model to estimate the non-exercise activity thermogenesis (NEAT) of Korean adults using various easy-to-measure dependent variables.

METHODS: NEAT was measured in 71 healthy adults (male n = 29; female n = 42). Statistical analysis was performed to develop a NEAT estimation regression model using the stepwise regression method.

RESULTS: We confirmed that ageA, weightB, heart rate (HR)_averageC, weight × HR_averageD, weight × HR_sumE, systolic blood pressure (SBP) × HR_restF, fat mass ÷ height2G, gender × HR_averageH, and gender × weight × HR_sumI were important variables in various NEAT activity regression models. There was no significant difference between the measured NEAT values obtained using a metabolic gas analyzer and the predicted NEAT.

CONCLUSION: This preliminary study developed a regression model to estimate the NEAT in healthy Korean adults. The regression model was as follows: sitting = 1.431 – 0.013 × (A) + 0.00014 × (D) – 0.00005 × (F) + 0.006 × (H); leg jiggling = 1.102 – 0.011 × (A) + 0.013 × (B) + 0.005 × (H); standing = 1.713 – 0.013 × (A) + 0.0000017 × (I); 4.5 km/h walking = 0.864 + 0.035 × (B) + 0.0000041 × (E); 6.0 km/h walking = 4.029 – 0.024 × (C) + 0.00071 × (D); climbing up 1 stair = 1.308 – 0.016 × (A) + 0.00035 × (D) – 0.000085 × (F) – 0.098 × (G); and climbing up 2 stairs = 1.442 – 0.023 × (A) – 0.000093 × (F) – 0.121 × (G) + 0.0000624 × (E).

PMID:33887825 | DOI:10.20463/pan.2021.0004

Categories
Nevin Manimala Statistics

Safety and improvement in exercise tolerance with interval training vs moderate-intensity continuous training in heart disease patient of very high cardiovascular risk

Arch Cardiol Mex. 2021;91(2):178-185. doi: 10.24875/ACM.20000071.

ABSTRACT

OBJECTIVE: Evaluate safety and effects of training at moderate and high intensity intervals (MIIT, HIIT) compared to continuous moderate intensity training (MICT) in heart disease patient with very high cardiovascular risk (CVR).

METHOD: Quasi-experimental study of 81 patients in a cardiac rehabilitation (CR) program, after risk stratification, all patients presented at least 2 factors with high CVR. All patients were provided supervised concurrent training: aerobic: initially 2 weeks MICT. subsequently MICT group with same prescription, MIIT 3 intervals of 3 ‘to 70-80% FCR with active pause exercise of 3’ to 60 a 70% FCR, HIIT 3 intervals of 3’a 80-90% FCR with active pause exercise of 3 ’70 a 80% FCR, resistance training 3 weekly sessions isotonic exercises and 1 calisthenics and multidisciplinary intervention.

RESULTS: 81 patients assigned to: 61 MICT group, 13 MIIT and 7 HIIT, no significant differences were observed. Percentage gains were obtained in METs-load 45%, 60% and 86% (p = 0.17) and watts 51, 44 and 48 in MICT, MIIT, HIIT respectively (p = 0.54). Although there are no statistical significant intergroup differences if there is a greater improvement in MET-load in the HIIT group. There was no adverse outcome in any training.

CONCLUSIONS: In very high cardiovascular risk heart disease patient, supervised interval training (MIIT/HIIT) is safe, with a tendency to greater improvement in exercise tolerance (METs-load) with HIIT compared to MICT.

PMID:33887755 | DOI:10.24875/ACM.20000071

Categories
Nevin Manimala Statistics

Differences in Biomechanical Loading Magnitude During a Landing Task in Male Athletes with and without Patellar Tendinopathy

J Athl Train. 2021 Apr 22. doi: 10.4085/1062-6050-0548.20. Online ahead of print.

ABSTRACT

CONTEXT: Prior research has not established if overloading or underloading movement profiles are present in symptomatic and asymptomatic athletes with patellar tendon structural abnormality (PTA) compared to healthy athletes.

OBJECTIVE: The purpose was to compare involved limb landing biomechanics between male athletes with and without patellar tendinopathy.

DESIGN: Cross-sectional study Setting: Laboratory Patients or Other Participants: 43 males were grouped based on patellar tendon pain & ultrasound imaging of the proximal patellar tendon: symptomatic with PTA (SYM-PTA; n=13; 20±2yrs; 1.8±0.1m; 84±5kg), asymptomatic with PTA (ASYM-PTA; n=15; 21±2yrs; 1.8±0.1m; 82±13kg), and healthy control (CON; n=15; 20±2yrs; 1.8±0.1m; 79±12kg).

MAIN OUTCOME MEASURES: 3D biomechanics were collected during double-limb jump-landing. Kinematic (knee flexion angle (KF)) and kinetic (vertical ground reaction force (VGRF); internal knee extension moment (KEM); patellar tendon force (FPT)) variables were analyzed as continuous waveforms during the stance phase for the involved limb. Mean values were calculated for each 1% of stance, normalized over 202 data points (0-100%), and plotted with 95% confidence intervals. Statistical significance was defined as a lack of 95% CI overlap for ≥ 6 consecutive data points.

RESULTS: SYM-PTA had lesser KF than CON throughout the stance phase. ASYM-PTA had lesser KF than CON in the early and late stance phase. SYM-PTA group had lesser KEM and FPT than CON in early stance, as well as ASYM-PTA in mid-stance.

CONCLUSIONS: Male athletes with SYM-PTA demonstrated a patellar tendon load-avoidance profile compared to ASYM-PTA and CON athletes. ASYM-PTA did not show evidence of overloading compared to CON. Our findings support the need for individualized treatments for athletes with tendinopathy to maximize load-capacity.

TRIAL REGISTRY: ClinicalTrials.gov (#XXX).

PMID:33887762 | DOI:10.4085/1062-6050-0548.20

Categories
Nevin Manimala Statistics

Evaluation Of Medication Adherence Among Patients With Chronic Diseases In Saudi Arabia

Int J Clin Pract. 2021 Apr 22:e14253. doi: 10.1111/ijcp.14253. Online ahead of print.

ABSTRACT

BACKGROUND: Medication adherence in chronic diseases patients is a worldwide concern. Not achieving the goal of treatments because of nonadherence will lead to more complications and eventually may lead to death. In Saudi Arabia we have insufficient data for interpretation. Hence, this study aims to have a better perspective at the number of the nonadherent patients with chronic diseases to their medications and its associated factors.

MATERIAL AND METHOD: Cross-sectional quantitative study was conducted among chronic diseases patients living in Saudi Arabia throughout social media and hospital visits from August 2018 to April 2019. A three sections questionnaire consists of patient’s health, medications, and Adherence characteristics. Adherence to Refills and Medication Scale (ARMS) was used to identify the level of adherence among chronic diseases patients. Univariate descriptive statistics and independent sample t-test with one-way ANOVA were used as bivariate analysis. Finally, significant predictors of medical adherence with adjusted coefficient were determined by multivariable linear regression.

RESULTS: A total of 385 patients were included in the analysis for the current study. Overall, 96.62% (n=372) were non-adherent to their medications according to ARMS scale. Multiple linear regression model found types of co-morbidities, medication dosage form and dosage regimen to be independent predictors of medical adherence.

CONCLUSION: Medication adherence is alarmingly low among chronic disease patients in Saudi Arabia. There is a clear need for in-depth understanding for barriers. It is therefore important to conduct a qualitative study.

PMID:33887799 | DOI:10.1111/ijcp.14253

Categories
Nevin Manimala Statistics

The measurement and full statistical analysis including Bayesian methods of the aluminium content of infant vaccines

J Trace Elem Med Biol. 2021 Apr 15;66:126762. doi: 10.1016/j.jtemb.2021.126762. Online ahead of print.

ABSTRACT

BACKGROUND: Aluminium salts are the most common adjuvants in infant vaccines. The aluminium content of a vaccine is provided by the manufacturer and is indicated on the patient information leaflet. There is no independent verification, for example by the European Medicines Agency, of the aluminium content of infant vaccines.

METHODS: We have measured the aluminium content of thirteen infant vaccines using microwave-assisted acid and peroxide digestion followed by transversely heated graphite furnace atomic absorption spectrometry. Our data are compared with manufacturer’s data using full statistical analyses including Bayesian methods.

RESULTS: We found that only three vaccines contained the amount of aluminium indicated by the manufacturer. Six vaccines contained a statistically significant (P < 0.05) greater quantity while four vaccines contained a statistically significant (P < 0.05) lower quantity. The range of content for any single vaccine varied considerably, for example, from 0.172 to 0.602 mg/vaccine for Havrix.

CONCLUSIONS: The data have raised specific questions about the significance of the aluminium content of vaccines and identified areas of extremely limited information. Since aluminium is a known toxin in humans and specifically a neurotoxin, its content in vaccines should be accurate and independently monitored to ensure both efficacy and safety.

PMID:33887692 | DOI:10.1016/j.jtemb.2021.126762

Categories
Nevin Manimala Statistics

Automatic identification of respiratory events based on nasal airflow and respiratory effort of chest and abdomen

Physiol Meas. 2021 Apr 22. doi: 10.1088/1361-6579/abfae5. Online ahead of print.

ABSTRACT

OBJECTIVE: Disease may cause changes in the individual’s respiratory pattern, which can be measured as parameters for evaluating disease, usually through manually annotated polysomnographic recordings. In this study, a machine learning model based on nasal airflow and respiratory effort of chest and abdomen is proposed to automatically identify respiratory events, including normal breathing event, hypopnea event and apnea event.

APPROACH: The nasal airflow and chest-abdominal respiratory effort signals were collected from Polysomnography (PSG). Time/frequency domain features, fractional fourier transform features and sample entropy were calculated to obtain feature sets. And selected features through statistical analysis were used as input variables of the machine learning model. The performance of different input combinations on different models was studied and cross-validated.

MAIN RESULTS: The dataset included PSG sleep records of 60 patients provided by the Chinese People’s Liberation Army General Hospital. The eXtreme Gradient Boosting (XGBoost)-based model performed best in several models with an accuracy of 0.807 and an f1-score of 0.807, depending on the combination of nasal airflow and two respiratory effort signals. The precision for normal breathing, hypopnea and apnea event were 0.764, 0.789 and 0.871 respectively. In addition, the recall score were 0.833, 0.768 and 0.823 for normal breathing, hypopnea and apnea event, respectively. Moreover, it was found that the standard deviation and kurtosis of nasal airflow were the most important features of respiratory event detection model.

SIGNIFICANCE: Since nasal airflow and respiratory effort of chest and abdomen contain the characteristics of respiratory events, their combined use can improve the classification performance in identifying respiratory events. With this method, respiratory events can be automatically detected and labeled from the PSG records, which can be used to screen for patients with Sleep Apnea Hypopnea Syndrome (SAHS).

PMID:33887711 | DOI:10.1088/1361-6579/abfae5

Categories
Nevin Manimala Statistics

Management of Home Parenteral Nutrition: Complications and Survival

Ann Nutr Metab. 2021 Apr 22:1-10. doi: 10.1159/000515057. Online ahead of print.

ABSTRACT

BACKGROUND AND AIMS: Parenteral nutrition (PN) has become an efficient, safe, and convenient treatment over years for patients suffering from intestinal failure. Home PN (HPN) enables the patients to have a high quality of life in their own environment. The therapy management however implies many restrictions and potentially severe lethal complications. Prevention and therapy of the latter are therefore of utmost importance. This study aims to assess and characterize the situation of patients with HPN focusing on prevalence of catheter-related complications and mortality.

METHODS: Swiss multicentre prospective observational study collecting demographic, anthropometric, and catheter-related data by means of questionnaires every sixth month from 2017 to 2019 (24 months), focusing on survival and complications. Data were analysed using descriptive statistics. Logistic regression models were fitted to investigate association between infection and potential co-factors.

RESULTS: Seventy adult patients (50% women) on HPN were included (≈5 patients/million adult inhabitants/year). The most common underlying diseases were cancer (23%), bariatric surgery (11%), and Crohn’s disease (10%). The most prevalent indication was short bowel syndrome (30%). During the study period, 47% of the patients were weaned off PN; mortality rate reached 7% for a median treatment duration of 1.31 years. The rate of catheter-related infection was 0.66/1,000 catheter-days (0.28/catheter-year) while the rate of central venous thrombosis was 0.13/1,000 catheter-days (0.05/catheter-year).

CONCLUSION: This prospective study gives a comprehensive overview of the adult Swiss HPN patient population. The collected data are prerequisite for evaluation, comparison, and improvement of recommendations to ensure best treatment quality and safety.

PMID:33887736 | DOI:10.1159/000515057

Categories
Nevin Manimala Statistics

Selection of individuals for lung cancer screening based on risk prediction model performance and economic factors – The Ontario experience

Lung Cancer. 2021 Apr 19;156:31-40. doi: 10.1016/j.lungcan.2021.04.005. Online ahead of print.

ABSTRACT

INTRODUCTION: Randomized controlled trials have shown that screening with computed tomography reduces lung cancer mortality but is most effective when applied to high-risk individuals. Accurate lung cancer risk prediction models effectively select individuals for screening. Few pilots or programs have implemented risk models for enrolling individuals for screening in real-world, population-based settings. This report describes implementation of the PLCOm2012 risk prediction model in the Ontario Health (Cancer Care Ontario) lung cancer screening Pilot.

METHODS: In the Pilot’s Health Technology Assessment, 576 categorical age/pack-years/quit-years scenarios were evaluated using MISCAN microsimulation modeling and cost-effectiveness analyses. A preferred model was selected which provided the most life-years gained per cost. The PLCOm2012 was compared to the preferred MISCAN scenario at a threshold that yielded the same number eligible (risk ≥2.0 %/6-years).

RESULTS: The PLCOm2012 had significantly higher sensitivity and predictive value (68.1 % vs 59.6 %, p < 0.0001; 4.90 % vs 4.29 %, p = 0.044), and an Expert Panel selected it for use in the Pilot. The Pilot cancer detection rate was significantly higher than in the NLST (p = 0.009) or NELSON (p = 0.003) and there was a significant shift to early stage compared to historical Ontario Cancer Registry statistics (p < 0.0001). Pre- and post-Pilot evaluations found that conducting quality risk assessments were not excessively time consuming or difficult, and participants’ satisfaction was high.

CONCLUSIONS: The PLCOm2012 was efficiently implemented in the Pilot in a real-world setting and is being used to transition into a provincial program. Compared to categorical age/pack-years/quit-years criteria, risk assessment using the PLCOm2012 can lead to effective and efficient screening.

PMID:33887677 | DOI:10.1016/j.lungcan.2021.04.005

Categories
Nevin Manimala Statistics

Application of flexural and membrane stress analysis to distinguish tensile and compressive moduli of biologic materials

J Mech Behav Biomed Mater. 2021 Mar 19;119:104474. doi: 10.1016/j.jmbbm.2021.104474. Online ahead of print.

ABSTRACT

Three-point bending is often used during the mechanical determination of tissue material properties. When taken to failure, the test samples often experience high deformations. The objective of this study was to present beam and plate theories as analytical tools for determining tensile and compressive elastic moduli during the transition from flexure to membrane stress states. Samples of cartilage, a highly flexible connective tissue having differing tensile and compressive moduli, were tested. Three-point bending tests were conducted on auricular (ear) and costal (rib) cartilage harvested from pigs. The influence of span length variation and Poisson’s ratio assumptions were statistically assessed. Tensile elastic moduli of the ear (3.886 MPa) and rib (6.131 MPa) were derived from high-deformation bending tests. The functional assessment described here can be applied as a design input approach for tissue reconstruction and tissue engineering, considering both hard and soft tissue applications.

PMID:33887626 | DOI:10.1016/j.jmbbm.2021.104474

Categories
Nevin Manimala Statistics

The artificialization in the sediment profiles of the streams in the Água Branca basin – Itirapina, São Paulo, Brazil

J Environ Manage. 2021 Apr 19;290:112610. doi: 10.1016/j.jenvman.2021.112610. Online ahead of print.

ABSTRACT

River sediments have the capability to accumulate and absorb traces of anthropic environmental degradation. In this work, we investigated the effects of urban land use on the composition of physical sediment. For this purpose, sediment profiles were collected in the wet and dry seasons and in locations with mixed land-use. For the sediment analysis, particle size separation, organic matter degradation, visual analysis of the thickest fraction using a magnifying glass and stereomicroscope analysis of the particle size material corresponding to the sands were performed. It was observed that the sedimentation of synthetic materials and plastics (fragments and fibres) were the most frequently found materials. More intense urban occupation areas and with less riparian vegetation suffer more from this degradation than rural areas or areas with preserved riparian vegetation. The dam in the basin accumulates more materials (macro and microplastics) and has the role of containing and preventing these residues from being transported downstream. The importance of investing in environmental management measures is emphasized, and based on the sampled sites assessed, the restoration of riparian vegetation, greater inspection of inadequate waste disposal and public cleaning actions are suggested, including actions in the Tibiriçá dam.

PMID:33887637 | DOI:10.1016/j.jenvman.2021.112610