Musculoskeletal symptoms, psychosocial factors and work ability in Brazilian labor justice workers

Work ◽  
2021 ◽  
pp. 1-10
Author(s):  
Fauzi El Kadri Filho ◽  
Tha&ıs Moreira São-João ◽  
Neusa Maria Costa Alexandre ◽  
Sergio Roberto de Lucca ◽  
Cristiane Helena Gallasch ◽  
...  
Keyword(s):  
Linear Regression ◽  
Multiple Linear Regression ◽  
Psychosocial Factors ◽  
Work Ability ◽  
Multiple Linear Regression Model ◽  
Female Gender ◽  
Musculoskeletal Symptoms ◽  
Judicial Process ◽  
Cross Sectional ◽  
Important Relationship

BACKGROUND: The implementation of the electronic judicial process (PJe) in recent years is associated with an increase in workload and stricter control through productivity targets in the Brazilian labor judiciary. OBJECTIVES: To evaluate the relations between musculoskeletal symptoms, psychosocial factors and work ability in civil servants of a labor justice body in the context of the PJe. METHODS: A cross-sectional exploratory study with a quantitative approach involving 449 workers. Sociodemographic, occupational and related data were collected through questionnaires validated in the Brazilian context. Data analysis was conducted by descriptive and inferential statistics: Mann-Whitney test, Spearman’s correlation coefficient and multiple linear regression. RESULTS: There was a correlation between musculoskeletal symptoms and psychosocial factors (p <  0.05), as well as between both musculoskeletal symptoms and psychosocial factors with reduced work ability (p <  0.05). The multiple linear regression model pointed to the female gender and the dimensions “demands”, “control” and “peer support” as related to the musculoskeletal symptoms. CONCLUSION: We highlight the importance of a broader approach, involving psychosocial factors in preventive actions related to musculoskeletal disorders considering the important relationship with work ability.

scholarly journals Fear of falling in older adults living at home: associated factors

2017 ◽  
Vol 51 (0) ◽  
Author(s):  
Luciano Magalhães Vitorino ◽  
Carla Araujo Bastos Teixeira ◽  
Eliandra Laís Vilas Boas ◽  
Rúbia Lopes Pereira ◽  
Naiana Oliveira dos Santos ◽  
...  
Keyword(s):  
Older Adults ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Older Adult ◽  
Linear Models ◽  
Fear Of Falling ◽  
Multiple Linear Regression Model ◽  
Cross Sectional ◽  
Modifiable Factors ◽  
At Home

Abstract OBJECTIVE To identify the factors associated with the fear of falling in the older adultliving at home. METHOD Cross-sectional study with probabilistic sampling of older adultenrolled in two Family Health Strategies (FHS). The fear of falling was measured by the Brazilian version of the Falls Efficacy Scale-International and by a household questionnairethat contained the explanatory variables. Multiple Linear Regression using the stepwise selection technique and the Generalized Linear Models were used in the statistical analyses. RESULTS A total of170 older adultsparticipated in the research, 85 from each FHS. The majority (57.1%) aged between 60 and 69; 67.6% were female; 46.1% fell once in the last year. The majority of the older adults(66.5%) had highfear of falling. In the final multiple linear regression model, it was identified that a higher number of previous falls, female gender, older age, and worse health self-assessment explained 37% of the fear of falling among the older adult. CONCLUSION The findings reinforce the need to assess the fear of falling among the older adultliving at home, in conjunction with the development and use ofstrategies based on modifiable factors by professionalsto reduce falls and improve health status, which may contribute to the reduction of the fear of falling among the older adult.

scholarly journals Influence of the key account manager in the provisioning management: Evidence from staple companies during the events of COVID-19

Accounting ◽  
2022 ◽  
Vol 8 (2) ◽  
pp. 161-170 ◽  
Author(s):  
Luis-Ricardo Flores-Vilcapoma ◽  
Cynthia-Paola A lbengrin-Mendoza ◽  
Gabriela-Briggite Gomez-Rojas ◽  
Yuri Sánchez-Solis ◽  
Wagner Vicente-Ramos
Keyword(s):  
Experimental Design ◽  
Linear Regression ◽  
Correlation Analysis ◽  
Regression Model ◽  
Multiple Linear Regression ◽  
Linear Regression Model ◽  
Multiple Linear Regression Model ◽  
Cross Sectional ◽  
Key Account ◽  
The Impact

The purpose of this research was to evaluate the degree of influence exercised by the Key Account Manager in the provisioning management in the main companies called Staple in Peru, during the events of COVID-19. The research was of type quantitative, cross-sectional and temporal, with a non-experimental design, using a multiple linear regression model and correlation analysis to determine the impact that exists between the variables. The data belongs to the Industrias San Miguel company, distributed in a weekly period from June 2019 to March 2021, which gives 88 observations. The results allow us to conclude that the Key Account Manager is an important manager of the supply of goods during the crisis caused by COVID-19 in staple companies.

scholarly journals Association between the Type of Workplace and Lung Function in Copper Miners

2016 ◽  
Vol 2016 ◽  
pp. 1-15 ◽  
Author(s):  
Anna Skoczyńska ◽  
Leszek Gruszczyński ◽  
Anna Wojakowska ◽  
Marek Ścieszka ◽  
Barbara Turczyn ◽  
...  
Keyword(s):  
Lung Function ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Linear Regression Analysis ◽  
Longitudinal Data Analysis ◽  
Multiple Linear Regression Model ◽  
Multiple Linear Regression Analysis ◽  
Analysis Software ◽  
Cross Sectional ◽  
Sectional Analysis

The aim of the analysis was to retrospectively assess changes in lung function in copper miners depending on the type of workplace. In the groups of 225 operators, 188 welders, and 475 representatives of other jobs, spirometry was performed at the start of employment and subsequently after 10, 20, and 25 years of work. Spirometry Longitudinal Data Analysis software was used to estimate changes in group means for FEV1and FVC. Multiple linear regression analysis was used to assess an association between workplace and lung function. Lung function assessed on the basis of calculation of longitudinal FEV1 (FVC) decline was similar in all studied groups. However, multiple linear regression model used in cross-sectional analysis revealed an association between workplace and lung function. In the group of welders, FEF75 was lower in comparison to operators and other miners as early as after 10 years of work. Simultaneously, in smoking welders, the FEV1/FVC ratio was lower than in nonsmokers (p< 0,05). The interactions between type of workplace and smoking (p< 0,05) in their effect on FVC, FEV1, PEF, and FEF50 were shown. Among underground working copper miners, the group of smoking welders is especially threatened by impairment of lung ventilatory function.

scholarly journals Factor Influencing Resiliency of Efficacy Diabetes Mellitus Patients

2018 ◽  
Author(s):  
Nian Afrian Nuari
Keyword(s):  
Biological Sciences ◽  
Diabetes Mellitus ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Sampling Technique ◽  
Female Gender ◽  
Good Adherence ◽  
Cross Sectional ◽  
Test Analysis ◽  
Sugar Levels

Resiliency of efficacy means the ability of a person to rise from adversity that occurs in the problems that occur in his life especially if the patient Diabetes Mellitus who must maintain blood sugar levels for life so that no complications occur. The goal of this research is to analyze the factors related to resiliency of efficacy Diabetes Mellitus Patient's. The design of this study was explanatory with cross sectional approach. Sampling technique used purposive sampling got 100 respondents. Data collected by using questionnaire and analyzed with multiple linear regression (α = 0.05). The results showed that the majority of respondents Diabetes mellitus obtained that 31% of respondents have aged 60 to 70 years and has female gender of 65%. This results acquired long suffering Diabetes Mellitus at most for 3-5 years. Respondents get information about Diabetes Mellitus disease as much as 44%. For adherence to the medication as much as 54% have good adherence to treatment. While in the management of Diabetes mellitus dietary, consider half of respondents have diet according to Diabetes Mellitus. Based on the results as well as 52% have good adherence to activity management. The majority of respondents Diabetes mellitus captures high resiliency of efficacy. The multiple linear regression test analysis obtained there are influence of resiliency of efficacy with gender, education information about diabetes, long suffering diabetes mellitus, medication obedience, dietary adherence and activity adherence in Diabetes Mellitus Patients. The Resiliency of efficacy Diabetes mellitus needs to be improved by providing support to patients who can do family and community, so that patients are able to achieve a good quality of life.KEYWORDS: resiliency, efficacy, factor, Diabetes Mellitus. Published in: Journal of Applied Environmental and Biological Sciences (JAEBS) , Volume 8, issue 4, April 2018, ISSN:2090-4274

scholarly journals Workload and influencing factors in non-emergency medical transfers: a multiple linear regression analysis of a cross-sectional questionnaire study

2019 ◽  
Vol 19 (1) ◽  
Author(s):  
Johann Georg Keunecke ◽  
Christine Gall ◽  
Torsten Birkholz ◽  
Andreas Moritz ◽  
Christian Eiche ◽  
...  
Keyword(s):  
Linear Regression ◽  
Multiple Linear Regression ◽  
Influencing Factors ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Model ◽  
Task Demands ◽  
Measurement Tool ◽  
Online Questionnaire ◽  
Cross Sectional ◽  
Emergency Medical

Abstract Background Human workload is a key factor for system performance, but data on emergency medical services (EMS) are scarce. We investigated paramedics’ workload and the influencing factors for non-emergency medical transfers. These missions make up a major part of EMS activities in Germany and are growing steadily in number. Methods Paramedics rated missions retrospectively through an online questionnaire. We used the NASA-Task Load Index (TLX) to quantify workload and asked about a variety of medical and procedural aspects for each mission. Teamwork was assessed by the Weller teamwork measurement tool (TMT). With a multiple linear regression model, we identified a set of factors leading to relevant increases or decreases in workload. Results A total of 194 non-emergency missions were analysed. Global workload was rated low (Mean = 27/100). In summary, 42.8% of missions were rated with a TLX under 20/100. TLX subscales revealed low task demands but a very positive self-perception of performance (Mean = 15/100). Teamwork gained high ratings (Mean TMT = 5.8/7), and good teamwork led to decreases in workload. Aggression events originating from patients and bystanders occurred frequently (n = 25, 12.9%) and increased workload significantly. Other factors affecting workload were the patient’s body weight and the transfer of patients with transmittable pathogens. Conclusion The workload during non-emergency medical transfers was low to very low, but performance perception was very positive, and no indicators of task underload were found. We identified several factors that led to workload increases. Future measures should attempt to better train paramedics for aggression incidents, to explore the usefulness of further technical aids in the transfer of obese patients and to reconsider standard operating procedures for missions with transmittable pathogens.

Beneficial impact of education on cognition in amyloid-positive individuals with subjective cognitive decline: The SILCODE study

2020 ◽  
Author(s):  
Guanqun Chen ◽  
Chunhua Liu ◽  
Kun Yang ◽  
Jiehui Jiang ◽  
Ying Han
Keyword(s):  
Executive Function ◽  
Linear Regression ◽  
Cognitive Decline ◽  
Multiple Linear Regression ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Model ◽  
Multiple Linear Regression Analysis ◽  
Subjective Cognitive Decline ◽  
Cross Sectional ◽  
Function Language

Abstract Background: Previous studies suggest that education is associated with a decreased risk of dementia in individuals with subjective cognitive decline (SCD). However, the influence of education on cognition in amyloid-positive SCD subjects is not clear.Methods: We performed a cross-sectional study that involved 43 amyloid-negative and 29 amyloid-positive SCD subjects from the Sino Longitudinal Study on Cognitive Decline (SILCODE) project. Cognitive assessment included episodic memory, executive function, language, and general cognitive function. Multiple linear regression model was used to assess the association of education on cognitive performance.Results: Multiple linear regression analysis suggested that education has a protective effect on executive function, language for the amyloid-negative SCD group and language, global cognition for the amyloid-positive SCD group.Conclusions: The present study indicated that education has the potential to delay disease progression in amyloid-positive SCD subjects.

Folate Nutritional Status among Psoriasis Patients not Exposed to Antifolate Drug

2020 ◽  
Vol 16 (4) ◽  
pp. 543-553
Author(s):  
Luciana Y. Tomita ◽  
Andréia C. da Costa ◽  
Solange Andreoni ◽  
Luiza K.M. Oyafuso ◽  
Vânia D’Almeida ◽  
...  
Keyword(s):  
Folic Acid ◽  
Linear Regression ◽  
Multiple Linear Regression Model ◽  
Folate Intake ◽  
Serum Folate ◽  
Linear Regression Models ◽  
Cross Sectional ◽  
Folic Acid Fortification ◽  
Plasma Folate ◽  
Psoriasis Severity

Background: Folic acid fortification program has been established to prevent tube defects. However, concern has been raised among patients using anti-folate drug, i.e. psoriatic patients, a common, chronic, autoimmune inflammatory skin disease associated with obesity and smoking. Objective: To investigate dietary and circulating folate, vitamin B12 (B12) and homocysteine (hcy) in psoriatic subjects exposed to the national mandatory folic acid fortification program. Methods: Cross-sectional study using the Food Frequency Questionnaire, plasma folate, B12, hcy and psoriasis severity using the Psoriasis Area and Severity Index score. Median, interquartile ranges (IQRs) and linear regression models were conducted to investigate factors associated with plasma folate, B12 and hcy. Results: 82 (73%) mild psoriasis, 18 (16%) moderate and 12 (11%) severe psoriasis. 58% female, 61% non-white, 31% former smokers, and 20% current smokers. Median (IQRs) were 51 (40, 60) years. Only 32% reached the Estimated Average Requirement of folate intake. Folate and B12 deficiencies were observed in 9% and 6% of the blood sample respectively, but hyperhomocysteinaemia in 21%. Severity of psoriasis was negatively correlated with folate and B12 concentrations. In a multiple linear regression model, folate intake contributed positively to 14% of serum folate, and negative predictors were psoriasis severity, smoking habits and saturated fatty acid explaining 29% of circulating folate. Conclusion: Only one third reached dietary intake of folate, but deficiencies of folate and B12 were low. Psoriasis severity was negatively correlated with circulating folate and B12. Stopping smoking and a folate rich diet may be important targets for managing psoriasis.

An Enhanced Multiple Linear Regression Model for Seasonal Rainfall Prediction

2020 ◽  
Vol 10 (4) ◽  
pp. 473-483
Author(s):  
Pundra Chandra Shaker Reddy ◽  
Alladi Sureshbabu
Keyword(s):  
Linear Regression ◽  
Regression Model ◽  
Multiple Linear Regression ◽  
Linear Regression Model ◽  
Weather Prediction ◽  
Big Data Analytics ◽  
Multiple Linear Regression Model ◽  
Seasonal Rainfall ◽  
Climate Data ◽  
Rainfall Forecasting

Aims & Background: India is a country which has exemplary climate circumstances comprising of different seasons and topographical conditions like high temperatures, cold atmosphere, and drought, heavy rainfall seasonal wise. These utmost varieties in climate make us exact weather prediction is a challenging task. Majority people of the country depend on agriculture. Farmers require climate information to decide the planting. Weather prediction turns into an orientation in farming sector to deciding the start of the planting season and furthermore quality and amount of their harvesting. One of the variables are influencing agriculture is rainfall. Objectives & Methods: The main goal of this project is early and proper rainfall forecasting, that helpful to people who live in regions which are inclined natural calamities such as floods and it helps agriculturists for decision making in their crop and water management using big data analytics which produces high in terms of profit and production for farmers. In this project, we proposed an advanced automated framework called Enhanced Multiple Linear Regression Model (EMLRM) with MapReduce algorithm and Hadoop file system. We used climate data from IMD (Indian Metrological Department, Hyderabad) in 1901 to 2002 period. Results: Our experimental outcomes demonstrate that the proposed model forecasting the rainfall with better accuracy compared with other existing models. Conclusion: The results of the analysis will help the farmers to adopt effective modeling approach by anticipating long-term seasonal rainfall.

Predictive Factors for Hamstring Autograft Diameter in Anterior Cruciate Ligament Reconstruction

2019 ◽  
Author(s):  
Willem M.P. Heijboer ◽  
Mathijs A.M. Suijkerbuijk ◽  
Belle L. van Meer ◽  
Eric W.P. Bakker ◽  
Duncan E. Meuffels
Keyword(s):  
Anterior Cruciate Ligament ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Acl Reconstruction ◽  
Cruciate Ligament ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Model ◽  
Gracilis Tendon ◽  
Thigh Circumference ◽  
Anterior Cruciate

AbstractMultiple studies found hamstring tendon (HT) autograft diameter to be a risk factor for anterior cruciate ligament (ACL) reconstruction failure. This study aimed to determine which preoperative measurements are associated with HT autograft diameter in ACL reconstruction by directly comparing patient characteristics and cross-sectional area (CSA) measurement of the semitendinosus and gracilis tendon on magnetic resonance imaging (MRI). Fifty-three patients with a primary ACL reconstruction with a four-stranded HT autograft were included in this study. Preoperatively we recorded length, weight, thigh circumference, gender, age, preinjury Tegner activity score, and CSA of the semitendinosus and gracilis tendon on MRI. Total CSA on MRI, weight, height, gender, and thigh circumference were all significantly correlated with HT autograft diameter (p < 0.05). A multiple linear regression model with CSA measurement of the HTs on MRI, weight, and height showed the most explained variance of HT autograft diameter (adjusted R 2 = 44%). A regression equation was derived for an estimation of the expected intraoperative HT autograft diameter: 1.2508 + 0.0400 × total CSA (mm2) + 0.0100 × weight (kg) + 0.0296 × length (cm). The Bland and Altman analysis indicated a 95% limit of agreement of ± 1.14 mm and an error correlation of r = 0.47. Smaller CSA of the semitendinosus and gracilis tendon on MRI, shorter stature, lower weight, smaller thigh circumference, and female gender are associated with a smaller four-stranded HT autograft diameter in ACL reconstruction. Multiple linear regression analysis indicated that the combination of MRI CSA measurement, weight, and height is the strongest predictor.

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