When Unnecessary Tasks Weigh Heavily on the Back: A Diary Study on Musculoskeletal Pain

2021 ◽  
pp. 216507992199483
Author(s):  
Yannik Faes ◽  
Achim Elfering
Keyword(s):  
Risk Factors ◽  
Body Mass Index ◽  
Decision Making ◽  
Regression Analysis ◽  
Musculoskeletal Pain ◽  
Body Mass ◽  
Office Workers ◽  
Multilevel Regression ◽  
Multilevel Regression Analysis ◽  
Prolonged Sitting

Background: Auxiliary tasks such as administrative work often include tasks that are unnecessary in the view of workers but still have to be done. These tasks can threaten a worker’s self-esteem. The purpose of this study was to examine the effects of unnecessary and unreasonable tasks on musculoskeletal pain. Methods: Fifty-five office workers (29 male; mean age = 41.96, SD = 14.2 years) reported their unnecessary and unreasonable tasks at the beginning of the study and kept a diary of their daily musculoskeletal pain over 5 weeks, using a visual analogue scale. Other work-related risk factors (prolonged sitting), job resources (participation in decision-making), and individual risk factors (sex, smoking, exercise, body mass index, maladaptive back beliefs) were controlled for in multilevel regression analysis. Findings: Multilevel regression analysis with 742 reports showed unnecessary tasks ( B = 4.27, p = .006)—but not unreasonable tasks ( B = 3.05, p = .074)—to predict the daily intensity of musculoskeletal pain, beyond other significant risk factors, such as prolonged sitting ( B = 2.06, p = .039), body mass index ( B = 1.52, p < .001), and maladaptive back beliefs ( B = 3.78, p = .003). Participation in decision-making was not a significant protective factor ( B = −1.67, p = .176). Conclusions/Application to Practice: The higher frequency of unnecessary tasks—compared with unreasonable tasks—could place workers at risk for musculoskeletal pain. Work redesign that reduces unnecessary and unreasonable tasks can make a valuable contribution to worker health and safety among office workers.

Aerobic Capacity, Obesity, and Atherosclerotic Risk Factors in Male Adolescents

PEDIATRICS ◽  
1985 ◽  
Vol 75 (5) ◽  
pp. 813-818
Author(s):  
Raymond R. Fripp ◽  
James L. Hodgson ◽  
Peter O. Kwiterovich ◽  
John C. Werner ◽  
H. Gregg Schuler ◽  
...  
Keyword(s):  
Risk Factors ◽  
Blood Pressure ◽  
Body Mass Index ◽  
Regression Analysis ◽  
Body Mass ◽  
Linear Regression Analysis ◽  
Density Lipoprotein ◽  
Plasma Triglyceride ◽  
Lipoprotein Cholesterol ◽  
Atherosclerotic Risk Factors

Correlations between aerobic capacity, obesity, and atherosclerotic risk factors were evaluated in adolescents with low-to-moderate levels of physical fitness. Subjects with higher levels of fitness had a more favorable risk profile with decreased body mass index, lower systolic and diastolic blood pressure and plasma triglyceride levels, and higher plasma high-density lipoprotein-cholesterol levels. Simple linear regression analysis revealed an association between body mass index and blood pressure, plasma triglyceride and plasma highdensity lipoprotein-cholesterol. The level of aerobic fitness as determined by exercise duration was also associated with the same atherosclerotic risk factors. However, multiple linear regression analysis demonstrated that body mass index provided the largest explanation, by those variables examined, of the interindividual variance in blood pressure, plasma triglyceride, and high-density lipoprotein-cholesterol. Aerobic fitness contributed only minimally to the variation in these risk factors. These findings suggest that if aerobic conditioning is used to modify atherosclerotic risk factors, it should be accompanied by a reduction in weight in adolescents with low-to-moderate levels of physical fitness.

Abstract T P158: Prolonged Atrial Electrical Mechanical Delay on Echocardiography in Patients With Cryptogenic Stroke

Stroke ◽  
2014 ◽  
Vol 45 (suppl_1) ◽  
Author(s):  
Dae-Hyun Kim ◽  
Seong-HO Choi ◽  
Jong-Seong Park ◽  
Hyun-Wook Nagh ◽  
Jae-Kwan Cha
Keyword(s):  
Risk Factors ◽  
Atrial Fibrillation ◽  
Body Mass Index ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Body Mass ◽  
Cryptogenic Stroke ◽  
Control Group ◽  
Lower Body ◽  
Stroke Group

Backgrounds and Purpose: One quarter of strokes are cryptogenic, and subclinical atrial fibrillation may be a common etiologic factor. Prolonged atrial electrical-mechanical delay was known as a predictor of paroxysmal atrial fibrillation (AF). We evaluated whether the prevalence of prolonged atrial electrical-mechanical delay suggesting the presence of atrial substrates for paroxysmal AF may be higher in patients with cryptogenic stroke. Methods: We retrospectively reviewed data from patients with ischemic stroke who were admitted to our hospital between January 2011 and December 2012, and selected patients with cryptogenic stroke who underwent echocardiography. Patients who underwent echocardiography for health care examination were enrolled in control group. Age, sex and underlying risk factors were matched in two groups. Atrial electrical-mechanical delay (PA interval) was defined as the time interval (msec) from the initiation of P wave on surface electrocardiogram to the initiation of trans-mitral inflow on pulse wave Doppler echocardiogram during late diastole. Clinical significance of PA interval was evaluated. Results: Total 130 patients in cryptogenic stroke group and 130 persons in control group were enrolled. Mean age was 63 ± 11 years and 176 (68%) were male. The PR interval (178 ± 27 vs. 165 ± 27 msec, p < 0.0001) and PA interval (74 ± 15 vs. 61 ± 13 msec, p < 0.0001) were longer in cryptogenic stroke patients. The body mass index (23 ± 3 vs. 24 ± 3, p = 0.043) was lower and mitral E/E’ ratio (8.8 ± 3.0 vs. 8.0 ± 2.6 msec, p < 0.0001) was higher in cryptogenic stroke group. Prolonged PR (OR: 1.019, CI: 1.009 - 1.029, p < 0.0001) and PA (OR: 1.068, CI: 1.045 - 1.093, p < 0.0001) intervals, and lower body mass index (OR: 0.919, CI: 0.846 - 0.998) were risk factors for cryptogenic stroke in univariate logistic regression analysis. Prolonged PA (OR: 1.060, CI: 1.035 - 1.086, p < 0.0001) and PR (OR: 1.019, CI: 1.004 - 1.034, p = 0.011) intervals, and lower body mass index (OR: 0.845, CI: 0.764 - 0.935, p = 0.001) were risk factors for cryptogenic stroke in multivariate logistic regression analysis. Conclusion: The prevalence of prolonged atrial electrical-mechanical delay suggesting atrial substrates for paroxysmal AF was higher in patients with cryptogenic stroke.

scholarly journals Association between obesity and venous thromboembolism

2020 ◽  
Author(s):  
Cristina Hotoleanu
Keyword(s):  
Risk Factors ◽  
Body Mass Index ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Risk Factor ◽  
Venous Thromboembolism ◽  
Body Mass ◽  
Logistic Regression Analysis ◽  
The Body ◽  
Increased Risk

Background and aims. Obesity is associated with numerous pathological conditions, including venous thromboembolism (VTE). VTE is a multifactorial disease; more than half of the hospitalized patients are at risk for VTE. We aimed to assess the risk of VTE associated with obesity, taking into account the class of obesity (according to the body mass index), gender, age and the intervention of other acquired risk factors. Method. A case-control study including 732 patients was designed. Collected data included: age, gender, body mass index, pregnancy/ postpartum state, use of hormonal therapy, personal and family history of VTE, smoking, prolonged immobilization and the presence of comorbidities- acquired risk factors for VTE. The risk of VTE was expressed as odds ratio (OR) with 95% confidence interval. Multiple logistic regression analysis was used to detect the independent risk factors. P value < 0.05 was considered significant statistic. Results. Obesity was associated with a 6.2- fold increased risk for VTE. The risk of VTE associated with obesity was highest in patients aged >50 years and in cases included in classes II and III of obesity. The interaction between obesity and another acquired risk factor has almost doubled the risk of VTE. Multivariate logistic regression analysis showed obesity as an independent risk factor for VTE for both female and male patients. Conclusion. Obesity is an independent and moderate risk factor for VTE. The risk increases with body mass index, age and the presence of other acquired risk factors.

scholarly journals CURRENT OPPORTUNITIES FOR DETERMINING OF PREDICTORS OF THREATENED PRETERM LABOR

2019 ◽  
pp. 160-164
Author(s):  
Yu. Ya. Krut ◽  
A. A. Shevchenko ◽  
V. G. Syusyuka
Keyword(s):  
Risk Factors ◽  
Body Mass Index ◽  
Regression Analysis ◽  
Pregnant Women ◽  
Body Mass ◽  
Premature Birth ◽  
Odds Ratio ◽  
Preterm Labor ◽  
Insulin Level ◽  
Independent Risk Factors

The aim of the study – to ascertain predictors of a threat of premature birth. Materials and Methods. 63 patients participated in the gestation period of 22–34 weeks in a prospective open study. Pregnant women were divided into two groups. Thus, the group I included 44 pregnant women, with the threat of PL, and the group II included 19 patients with normal course of pregnancy. All women were tested for body mass index (BMI), progesterone, insulin and cortisol on the day of admission. Statistical processing of materials was carried out by using the software package "Statistica 6.0" (StatSoft, USA) and MedCalc. 10.2.0.0. To determine the predictors of the occurrence of a TPL, the method of binary logistic regression analysis was used. All statistical tests were two-sided; the p-0.05 level was considered as significant. Results and Discussion. An analysis of the results of the observation of 63 pregnant women was provided. In 12 women, pregnancy ended in preterm labor, which was 19 % of the total. The following indicators fell to the dependent predictors of TPL occurrence: body mass index (BMI) ≤ 24 kg/m² significantly increased the odds ratio (OR) of TPL 7.76 times; insulin level <8.65 µMU/ml significantly increased ORR of TPL 5.14 times; OR of TPL increases in 7.02 times, in case that the level of cortisol is less than 577.9 ng/ml; progesterone <139.5 ng/ml increases the odds ratio of TPL in 4.39 times. Taking into account the data of univariate regression analysis, multivariate models of independent predictors of TPL were created. According to the first model (p = 0.0001), independent risk factors for miscarriage include: the age of pregnant women over 25 years, an insulin level more than 8.7 μMO/ml, and the level of cortisol less than 577.9ng/ml. According to the second model (p <0.0001), independent risk factors which increase the risk of TPL occurrence are: BMI less than 24 kg/m2, insulin level more than 8.7 μMO/ml, cortisol level less than 577.9ng / ml. However, the most interesting is the third model (p <0.0001) of independent risk factors for TPL. It includes four indicators: the level of progesterone, less than 139.5 ng/ml, the level of cortisol, less than 577.9 ng/ml, the BMI, less than 24 kg/m2 and the age of pregnant, more than 25 years. Conclusions. It was found that in pregnant women with a threat of preterm birth the age and BMI are the most informative, and in combination with the hormonal examination of women are of primary importance. The obtained results indicate the expedien­cy of inclusion to the standard examination of pregnant women with a threat of premature birth, a comprehensive determination of the level of progesterone, insulin and cortisol, which will enable to identify the risk group for this complication in time and to propose preventive measures.

The Relation of Body Mass Index to Biochemical Parameters and Profile of Heart Failure

2018 ◽  
Vol 69 (7) ◽  
pp. 1673-1677
Author(s):  
Viviana Aursulesei ◽  
Andrei Manta ◽  
Razan Al Namat ◽  
Monica Hugianu ◽  
Angela Maria Moloce ◽  
...  
Keyword(s):  
Risk Factors ◽  
Heart Failure ◽  
Body Mass Index ◽  
Body Mass ◽  
Patient Selection ◽  
Biochemical Parameters ◽  
Obesity Paradox ◽  
Lipid Levels ◽  
Randomized Control ◽  
Selection Parameters

The bidirectional relation between body mass index (BMI) and heart failure (HF) is complex and not fully understood. The obesity paradox phenomena is controversial and related to patient selection, parameters used for defining abnormal weight, characteristics of HF. Our study sustain the importance of controlling risk factors, in particular plasma glucose, lipid levels, as well as hypertension in patients with HF and BMI over 25 kg/m2. Also, in contrast to the randomized control studies our results can only partially support data related to obesity paradox phenomena.

scholarly journals Cardio-Metabolic Risk Factors in Scottish South Asian and Caucasian Youth

2021 ◽  
Vol 18 (9) ◽  
pp. 4667
Author(s):  
Meizi Wang ◽  
Jianhua Ying ◽  
Ukadike Chris Ugbolue ◽  
Duncan S. Buchan ◽  
Yaodong Gu ◽  
...  
Keyword(s):  
Risk Factors ◽  
Body Mass Index ◽  
Waist Circumference ◽  
Body Mass ◽  
South Asian ◽  
Metabolic Risk Factors ◽  
Individual Risk ◽  
Metabolic Risk ◽  
Asian Adolescents ◽  
Individual Risk Factors

(1) Background: Scotland has one of the highest rates of obesity in the Western World, it is well established that poor weight profiles, and particularly abdominal obesity, is strongly associated with Type II diabetes and cardiovascular diseases. Whether these associations are apparent in ethnic population groups in Scotland is unclear. The purpose of this study was to examine the associations between different measures of fatness with clustered cardio metabolic risk factors between Scottish South Asian adolescents and Scottish Caucasian adolescents; (2) Methods: A sample of 208 Caucasian adolescents and 52 South Asian adolescents participated in this study. Stature, waist circumference, body mass index, blood pressure, physical activity, and cardiovascular disease (CVD) risk were measured; (3) Results: Significant, partial correlations in the South Asian cohort between body mass index (BMI) and individual risk factors were generally moderate. However, correlations between Waist circumference (WC) and individual risk factors were significant and strong. In the Caucasian cohort, a significant yet weak correlation between WC and total cholesterol (TG) was noted although no other associations were evident for either WC or BMI. Multiple regression analysis revealed that both BMI and WC were positively associated with CCR (p < 0.01) in the South Asian group and with the additional adjustment of either WC or BMI, the independent associations with clustered cardio-metabolic risk (CCR) remained significant (p < 0.005); (4) Conclusions: No positive relationships were found between BMI, WC, and CCR in the Caucasian group. Strong and significant associations between measures of fatness and metabolic risk were evident in Scottish South Asian adolescents.

Short-Term Outcomes Following Removal of Infected Hernia Mesh

2021 ◽  
pp. 000313482110241
Author(s):  
Christine Tung ◽  
Junko Ozao-Choy ◽  
Dennis Y. Kim ◽  
Christian de Virgilio ◽  
Ashkan Moazzez
Keyword(s):  
Risk Factors ◽  
Body Mass Index ◽  
Logistic Regression ◽  
Body Mass ◽  
Smoking History ◽  
Multivariate Logistic Regression ◽  
Short Term ◽  
Mesh Removal ◽  
Mesh Placement ◽  
Infected Mesh

There are limited studies regarding outcomes of replacing an infected mesh with another mesh. We reviewed short-term outcomes following infected mesh removal and whether placement of new mesh is associated with worse outcomes. Patients who underwent hernia repair with infected mesh removal were identified from 2005 to 2018 American College of Surgeons-National Surgical Quality Improvement Program database. They were divided into new mesh (Mesh+) or no mesh (Mesh-) groups. Bivariate and multivariate logistic regression analyses were used to compare morbidity between the two groups and to identify associated risk factors. Of 1660 patients, 49.3% received new mesh, with higher morbidity in the Mesh+ (35.9% vs. 30.3%; P = .016), but without higher rates of surgical site infection (SSI) (21.3% vs. 19.7%; P = .465). Mesh+ had higher rates of acute kidney injury (1.3% vs. .4%; P = .028), UTI (3.1% vs. 1.3%, P = .014), ventilator dependence (4.9% vs. 2.4%; P = .006), and longer LOS (8.6 vs. 7 days, P < .001). Multivariate logistic regression showed new mesh placement (OR: 1.41; 95% CI: 1.07-1.85; P = .014), body mass index (OR: 1.02; 95% CI: 1.00-1.03; P = .022), and smoking (OR: 1.43; 95% CI: 1.05-1.95; P = .025) as risk factors independently associated with increased morbidity. New mesh placement at time of infected mesh removal is associated with increased morbidity but not with SSI. Body mass index and smoking history continue to contribute to postoperative morbidity during subsequent operations for complications.

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