scholarly journals Sleep Quality, Pain Catastrophization, and Orthopedic Health Literacy

2017 ◽  
Vol 2 (3) ◽  
pp. 2473011417S0003
Author(s):  
Peter Noback ◽  
Mani Seetharaman ◽  
Direk Tantigate ◽  
Melvin Rosenwasser ◽  
J. Turner Vosseller ◽  
...  
Keyword(s):  
Regression Analysis ◽  
Health Literacy ◽  
Sleep Quality ◽  
Functional Outcome ◽  
Strong Correlation ◽  
Functional Disability ◽  
Linear Regression Analysis ◽  
Multivariate Linear Regression Analysis ◽  
Foot And Ankle ◽  
Anova Analysis

Category: Ankle Introduction/Purpose: Evidence increasingly indicates the importance of orthopedic health literacy, sleep quality, and a propensity for pain catastrophization in orthopedic patient outcomes. Using previously validated questionnaires including the Literacy in Musculoskeletal Problems (LiMP), Pain Catastrophization Scale (PCS), and the Pittsburgh Sleep Quality Index (PSQI), this study investigated the relationship between these factors and common functional outcome instruments including the Disability of Arm, Shoulder, and Hand (DASH) and the Foot and Ankle Outcome Score (FAOS). Methods: 245 patients in outpatient clinics of one foot and ankle surgeon and three hand surgeons were approached. Inclusion criteria required age greater than 18, English proficiency, and a newly presenting chief complaint. Enrolled patients completed a demographics form, LiMP, PCS, PSQI, and the DASH or FAOS based on extremity. Clinical history was reviewed retrospectively. DASH and FAOS scores were normalized to the same scale (0 – 100, best to worst) and termed “functional survey” (FS). Correlations were calculated between FS scores, subjective questionnaires, and demographic/clinical information. For the variables of race and education level, one-way ANOVA analysis was conducted to determine if FS scores differed based on these variables. Variables that were significantly correlated with FS score were entered into a multivariate linear regression analysis to assess their effect on FS score. Results: 231 patients (131 hand/wrist, 100 foot/ankle) were enrolled and completed all questionnaires. ANOVA analysis found that there were no significant differences in FS scores based on education or race (p > 0.05). Multivariate regression analysis was conducted with FS score as the dependent variable, and factors that were significantly correlated with FS score, including PCS, PSQI Global Score, visit type (trauma vs. non-trauma), and insurance type (private vs. public) as the independent variables. Health literacy was not significantly correlated with OS score. Results from this analysis can be found in Table 1. The model significantly (p < 0.05) accounted for 19.2% of variation in OS score. Conclusion: There is a strong correlation between tendency to catastrophize pain, sleep quality, and FS score. Every 1 unit increase in the PSQI/PCS corresponds with a 1.8/0.38 point increase in FS score; indicating higher functional disability. Given the strong correlation at baseline, such factors as poorly controlled tendency to catastrophize pain may confound functional outcomes. No significant correlation was noted between health literacy and FS scores. This suggests that an increased level of orthopedic knowledge does not affect perception of functional disability. However, our results show that sleep quality and catastrophic thinking may confound functional outcome scores.

Smart phone usage, sleep quality and depression in university students

2020 ◽  
pp. 002076402096020
Author(s):  
Fadime Kaya ◽  
Nihal Bostanci Daştan ◽  
Erkan Durar
Keyword(s):  
Regression Analysis ◽  
University Students ◽  
Sleep Quality ◽  
Linear Regression Analysis ◽  
Smart Phone ◽  
Analysis Data ◽  
Smart Phones ◽  
Short Version ◽  
Poor Sleep ◽  
Multivariate Linear Regression Analysis

Background: The smart phone contains various mobile applications specifically targeting their contents, such as information, messages, e-mail, education and entertainment towards youths. Problematic and excessive smart phone usage can cause many health problems including anxiety, depression and sleep disorders. Aims: The aim of this study is to analyse the relationship between smart phone usage, sleep quality and depression. Methods: Eight hundred and four students who owned smart phones were given the Information Form, Smart Phone Addiction Scale-Short Version, Pittsburgh Sleep Quality Index (PSQI) and Beck Depression Inventory (BDI). The descriptive statistics, independent sample t-test, one-way ANOVA, correlation analysis and multivariate regression analysis were used for analysis data. Results: The mean age of the students in the sample was 20.93 ± 2.44. It comprised female (65.0%) and male (35.0%) students. All of the students used smart phones. The daily smart phone usage duration was 7.85 ± 4.55 hour. According to the multivariate linear regression analysis results, significant relationships were statistically determined in the positive way between the smart phone addiction and PSQI point ( p  < .01) and BDI point ( p  < .01). Conclusion: Consequently, a relationship exists between smart phone usage, poor sleep quality and depressive symptoms in university students. The university students, whose depression point is high and sleep quality is poor, should be followed up with regarding the smart phone addiction.

scholarly journals Evaluation of sleep disorder in orthopedic trauma patients: a retrospective analysis of 1129 cases

2021 ◽  
Vol 16 (1) ◽  
Author(s):  
Hai Yang ◽  
Yi-jia Liu ◽  
Jia-lu Ye ◽  
Li-hong Zhao ◽  
Ling-li Li ◽  
...  
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Sleep Quality ◽  
Sleep Disorders ◽  
Sleep Disorder ◽  
Linear Regression Analysis ◽  
Trauma Patients ◽  
Multivariate Linear Regression Analysis ◽  
Orthopedic Trauma ◽  
Orthopedic Injury

Abstract Background In the trauma center wards, it is not unusual for patients to have sleep disorders, especially patients with an acute injury. Meanwhile, there is substantial evidence that sleep disorder is a predictor of depression and is an important feature of posttraumatic stress disorder. Methods All orthopedic trauma patients confined in a trauma ward in West China Hospital of Sichuan University between April 2018 and July 2019 were included in this retrospective study. Patients with mental impairment or craniocerebral injuries were excluded from the study. Basic demographic data and the Injury Severity Score (ISS) classification based on medical records were collected. The Pittsburgh sleep quality index (PSQI) was used to evaluate sleep quality, the visual analog scale (VAS) was used to evaluate physical pain, and the Barthel Index (BI) was used to evaluate activities of daily living (ADL). Univariate linear regression analysis and multivariate linear regression analysis were used to identify independently related factors. Results The average PSQI score was 6.3 (± 4.0). A total of 581 (51.4%) patients had a PSQI score > 5, indicating the presence of sleep disorders. The PSQI score was > 10 in 174 (15.4%) patients. Univariate statistical analysis showed that age, sex, education, ADL, and ISS classification were associated with increased PSQI scores. Marital status and pain were not associated with increased PSQI scores. When we used multivariate analysis to control for confounding variables, sex, ADL, and ISS classification remained independently associated with PSQI (P = 0.002, < 0.000, and 0.002, respectively). Conclusions In our study, sleep disorders were common (51.4% with PSQI > 5) and serious (15.4% with PSQI > 10) in patients with traumatic orthopedic injury. The following factors were closely associated with sleep disorders: sex, ADL, and ISS classification. Moreover, age and educational attainment have an independent impact on sleep quality. Unexpectedly, the VAS score for pain was not independently associated with the seriousness of sleep quality, which may be related to preemptive and multimodal analgesia. Further studies are required to clarify this ambiguity.

Analysis of the Relationships between Balance Ability and Walking in Terms of Muscle Activities and Lower Limb Kinematics and Kinetics

Biomechanics ◽  
2021 ◽  
Vol 1 (2) ◽  
pp. 190-201
Author(s):  
Pathmanathan Cinthuja ◽  
Graham Arnold ◽  
Rami J. Abboud ◽  
Weijie Wang
Keyword(s):  
Regression Analysis ◽  
Lower Limb ◽  
Linear Regression Analysis ◽  
Multivariate Linear Regression Analysis ◽  
Vastus Medialis ◽  
Balance Test ◽  
Balance Ability ◽  
Limb Kinematics ◽  
Lower Limb Kinematics ◽  
Kinematics And Kinetics

There is a lack of evidence about the ways in which balance ability influences the kinematic and kinetic parameters and muscle activities during gait among healthy individuals. The hypothesis is that balance ability would be associated with the lower limb kinematics, kinetics and muscle activities during gait. Twenty-nine healthy volunteers (Age 32.8 ± 9.1; 18 males and 11 females) performed a Star Excursion Balance test to measure their dynamic balance and walked for at least three trials in order to obtain a good quality of data. A Vicon® 3D motion capture system and AMTI® force plates were used for the collection of the movement data. The selected muscle activities were recorded using Delsys® Electromyography (EMG). The EMG activities were compared using the maximum values and root mean squared (RMS) values within the participants. The joint angle, moment, force and power were calculated using a Vicon Plug-in-Gait model. Descriptive analysis, correlation analysis and multivariate linear regression analysis were performed using SPSS version 23. In the muscle activities, positive linear correlations were found between the walking and balance test in all muscles, e.g., in the multifidus (RMS) (r = 0.800 p < 0.0001), vastus lateralis (RMS) (r = 0.639, p < 0.0001) and tibialis anterior (RMS) (r = 0.539, p < 0.0001). The regression analysis models showed that there was a strong association between balance ability (i.e., reaching distance) and the lower limb muscle activities (i.e., vastus medialis–RMS) (R = 0.885, p < 0.0001), and also between balance ability (i.e., reaching distance) and the lower limb kinematics and kinetics during gait (R = 0.906, p < 0.0001). In conclusion, the results showed that vastus medialis (RMS) muscle activity mainly contributes to balance ability, and that balance ability influences the lower limb kinetics and kinematics during gait.

Correlation between FA and ADC, number and length of the periprostatic neurovascular fibers

2021 ◽  
pp. 039156032110637
Author(s):  
Valerio Di Paola ◽  
Angelo Totaro ◽  
Giacomo Avesani ◽  
Benedetta Gui ◽  
Andrea Boni ◽  
...  
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Negative Correlation ◽  
Multivariate Regression ◽  
Linear Regression Analysis ◽  
Multivariate Linear Regression ◽  
Multivariate Linear Regression Analysis ◽  
Independent Variables ◽  
Fiber Tracts ◽  
Good Agreement

Purpose: Our aim was to explore the relation between FA and ADC, number and length of the periprostatic neurovascular fibers (PNF) by means of 1.5 T Diffusion Tensor Imaging (DTI) imaging through a multivariate linear regression analysis model. Methods: For this retrospective study, 56 patients (mean age 63.5 years), who underwent 1.5-T prostate MRI, including DTI, were enrolled between October 2014 and December 2018. Multivariate regression analysis was performed to evaluate the statistically significant correlation between FA values (dependent variable) and ADC, the number and the length of PNF (independent variables), if p-value <0.05. A value of 0.5 indicated poor agreement; 0.5–0.75, moderate agreement; 0.75–0.9, good agreement; 0.61–0.80, good agreement; and 0.9–1.00, excellent agreement. Results: The overall fit of the multivariate regression model was excellent, with R2 value of 0.9445 ( R2 adjusted 0.9412; p < 0.0001). Multivariate linear regression analysis showed a statistically significant correlation ( p < 0.05) for all the three independent variables. The r partial value was −0.9612 for ADC values ( p < 0.0001), suggesting a strong negative correlation, 0.4317 for the number of fiber tracts ( p < 0.001), suggesting a moderate positive correlation, and −0.306 for the length of the fiber tracts ( p < 0.05), suggesting a weak negative correlation. Conclusions: Our multivariate linear regression model has demonstrated a statistically significant correlation between FA values of PNF with other DTI parameters, in particular with ADC.

scholarly journals HUBUNGAN PERSEPSI KEARIFAN LOKAL DENGAN SIKAP KONSERVASI MASYARAKAT DESA LENCOH KECAMATAN SELO DI TAMAN NASIONAL GUNUNG MERAPI

Biosfer ◽  
2018 ◽  
Vol 9 (1) ◽  
pp. 65-69
Author(s):  
Ernawati Ernawati ◽  
Eka Putri Azrai ◽  
Sri Supardi Wibowo
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Natural Resources ◽  
Local Knowledge ◽  
Strong Correlation ◽  
National Park ◽  
Linear Regression Analysis ◽  
Simple Linear Regression ◽  
Pearson Product Moment Correlation ◽  
Village People

Local wisdom refers to ideas and local knowledge which are wise, full of wisdom, good and virtuous beliefs that made, owned, also carried out by local people in that area. People of Lencoh village are applying local wisdom filled with Javanese culture in order to interact with the environment and use natural resources. This study aims to determine the correlation between perception of local wisdom and conservation attitude of Lencoh village people in Mount Merapi National Park. The study was conducted in Lencoh village, Selo sub-district in January 2016. The method used is the descriptive methods with correlational study. There are 95 respondents from the three hamlets. The data is using questionnaires and interviews. The results showed 56,84% and 43,16% of respondents have a enough and high local wisdom perception, and 8,42% and 91,58% of respondents have a enough and good conservation attitude. Hypothesis is tested using simple linear regression analysis, obtained Y = 47.262 + 0.703X and Pearson Product Moment Correlation test at α = 0.01, obtained rxy = 0.678 indicates a strong correlation between local wisdom perception and conservation attitude of a Lencoh village people. The results of this research prove there is a positive correlation between local wisdom perception and conservation attitude of Lencoh village people on Mount Merapi National Park.

scholarly journals Relationship between Thyroid and Kidney Function: Analysis from the Korea National Health and Nutrition Examination Survey Between 2013 and 2015

2020 ◽  
Vol 45 (3) ◽  
pp. 442-454 ◽  
Author(s):  
Sang Hyuk Kim ◽  
Hyang Ki Min ◽  
Sung Woo Lee
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Kidney Function ◽  
Thyroid Function ◽  
Direct Effect ◽  
National Health ◽  
Linear Regression Analysis ◽  
Multivariate Linear Regression ◽  
Multivariate Linear Regression Analysis ◽  
Health And Nutrition

Introduction: Thyroid function is evaluated by thyroid stimulating hormone (TSH) and free thyroxine (fT4). Although many studies have indicated an intimate relationship between thyroid hormones and kidney functions, reports about the simultaneous evaluation of TSH and fT4 are rare. Objective: We aimed to analyze the association between TSH and kidney function, with emphasis on a potential nonlinear relationship, and identify an independent relationship between fT4 and kidney function. Methods: We reviewed the data of 7,061 subjects in the Korea National Health and Nutrition Examination Surveys who were randomly subsampled for thyroid function evaluation between 2013 and 2015. A total of 5,578 subjects were included in the final analysis, after excluding people <18 years old, and those with a short fasting time, abnormal fT4 levels, and thyroid disease or related medications. Creatinine-based estimated glomerular filtration rate (eGFR) was used to define kidney function. Results: A 1 mmol/L increase of logarithmic TSH was associated with decreased eGFR (β: –1.8; 95% CI –2.3 to –1.2; p < 0.001), according to multivariate linear regression analysis. On the multivariate generalized additive model plot, TSH demonstrated an L-shaped relationship with eGFR, showing a steeper slope for 0–4 mIU/L of TSH. A 1 µg/dL increase of fT4 was also associated with decreased eGFR (β: –7.0; 95% CI –0.94 to –4.7; p < 0.001) on the multivariate linear regression analysis; this association was reversed after adjusting for age. On the mediation analysis, the indirect effect via age and direct effect per 1 µg/dL increase of fT4 on eGFR was 9.9 (8.1 to 11.7, p < 0.001) and –7.1 (–9.3 to –4.8, p < 0.001), respectively. Conclusions: Increased TSH was associated with decreased eGFR, particularly in the reference range. The direct effect of increased fT4 was decreased eGFR, which may be affected indirectly by age.

Predictors of problematic Internet use in school going adolescents of Bhavnagar, India

2019 ◽  
Vol 65 (2) ◽  
pp. 151-157 ◽  
Author(s):  
Sneha B Vadher ◽  
Bharat N Panchal ◽  
Ashok U Vala ◽  
Imran J Ratnani ◽  
Kinjal J Vasava ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Regression Analysis ◽  
Linear Regression ◽  
Sleep Quality ◽  
Internet Use ◽  
Linear Regression Analysis ◽  
Poor Quality ◽  
Problematic Internet Use ◽  
Quality Of Sleep

Background: Problematic Internet use (PIU) is the inability of individuals to control their Internet use, resulting in marked distress and/or functional impairment in daily life. Aim/Objective: We assessed the frequency of PIU and predictors of PIU, including social anxiety disorder (SAD), quality of sleep, quality of life and Internet-related demographic variables among school going adolescents. Methods: This was an observational, single-centered, cross-sectional, questionnaire-based study of 1,312 school going adolescents studying in Grades 10, 11 and 12 in Bhavnagar, India. Every participant was assessed by a pro forma containing demographic details, questionnaires of Internet Addiction Test (IAT), Social Phobia Inventory (SPIN), Pittsburgh Sleep Quality Index (PSQI) and Satisfaction With Life Scale (SWLS) for PIU severity, SAD severity, Quality of Sleep assessment and Quality of Life assessment, respectively. The statistical analysis was done with SPSS Version 23 (IBM Corporation) using chi-square test, Student’s t test and Pearson’s correlation. Multiple linear regression analysis was applied to find the predictors of PIU. Results: We found frequency of PIUs as 16.7% and Internet addiction as 3.0% among school going adolescents. Participants with PIU are more likely to experience SAD ( p < .0001), poor quality of sleep ( p < .0001) and poor quality of life ( p < .0001). There is positive correlation between severity of PIU and SAD ( r = .411, p < .0001). Linear regression analysis shows PIU can be predicted by SAD, sleep quality, quality of life, English medium, male gender, total duration of Internet use, monthly cost of Internet use, education, social networking, gaming, online shopping and entertainment as purpose of Internet use. Conclusion: Participants with PIU are more likely to experience SAD, poor quality of sleep and poor quality of life.

Relative contribution of various expressions of cAMP excretion to other indices of parathyroid function, as tested by discriminant multivariate linear regression analysis.

1986 ◽  
Vol 32 (7) ◽  
pp. 1279-1284 ◽  
Author(s):  
J Valsamis ◽  
J Van Peborgh ◽  
H Brauman
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Linear Regression Analysis ◽  
Adenosine Monophosphate ◽  
Multivariate Linear Regression ◽  
Multivariate Linear Regression Analysis ◽  
Amino Terminal ◽  
Relative Contribution ◽  
Parathyroid Function ◽  
Glomerular Filtrate

Abstract We evaluated the relative contribution to the diagnosis of hyperparathyroid disease from current laboratory indices of parathyroid function--plasma calcium (I), phosphate (II), carboxy-terminal (III) and predominantly amino-terminal (IV) radioimmunoassays of parathyrin, the urinary excretion ratios of cyclic adenosine monophosphate (cAMP) to creatinine (V) or to glomerular filtrate (VI), and the ratio of the nephrogenous fraction of cAMP to glomerular filtrate (VII)--in 224 subjects: 40 with surgically proven hyperparathyroid disease, the others normoparathyroid. The decreasing order of sensitivity was I greater than VI greater than VII greater than V greater than III greater than IV greater than II; all these indices differed significantly between normoparathyroid and hyperparathyroid patients. The decreasing order of specificity was VII, III greater than I greater than IV greater than V, II greater than VI. Discriminant multivariate linear regression analysis was performed in a subset of 58 subjects (17 hyper- and 41 normoparathyroid) from the population studied here, chosen because all of the laboratory indices were determined for each subject. The classification accuracy was 98.3% for combining I, VII, and III (r = 0.908), or I and V (r = 0.893), or I and VII (r = 0.889). The other variables did not add to the precision of classification.

scholarly journals FRAX® Fracture Risks Are Associated with Coronary Artery Calcification Score

2017 ◽  
Vol 2017 ◽  
pp. 1-6 ◽  
Author(s):  
Tzyy-Ling Chuang ◽  
Yi-Da Li ◽  
Fu-Tsung Hsiao ◽  
Mei-Hua Chuang ◽  
Yuh-Feng Wang
Keyword(s):  
Regression Analysis ◽  
Coronary Artery ◽  
Linear Regression ◽  
Fracture Risk ◽  
Coronary Artery Calcification ◽  
Assessment Tool ◽  
Clinical Laboratory ◽  
Linear Regression Analysis ◽  
Multivariate Linear Regression Analysis ◽  
Mineral Density

Purpose. To examine the association between fracture risk assessment tool (FRAX) scores and coronary artery calcification (CAC) score in adults. Methods. The medical records of 81 adults who underwent both coronary computed tomography and bone mineral density (BMD) studies in a package during their health exams were reviewed at a regional hospital in Southern Taiwan. Data collected included health history, anthropomorphic characteristics, clinical laboratory results, and BMD. Fracture risk was determined using FRAX. Univariate and multivariate linear regression analysis were used to assess the association between CAC score and 10-year probability of hip fracture (HF) and major osteoporotic fracture (MOF) determined by FRAX. Results. The mean age of the patients was 55.8 years, and 63.0% were male. Univariate linear regression analysis showed that increases in MOF and HF risks, as measured by FRAX, were significantly and positively associated with CAC score. Multiple linear regression analysis adjusting for potential confounders showed that CAC score remained significantly associated with four FRAX indicators, including right MOF (r=0.45, P<0.001), left MOF (r=0.31, P=0.021), right HF (r=0.38, P=0.001), and left HF (r=0.23, P=0.049). Conclusions. Increased risks of MOF and HF as determined by FRAX were significantly and independently associated with CAC score.

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