Musculoskeletal Pain is Associated With New-Onset Psychological Distress in Survivors of the Great East Japan Earthquake

2018 ◽  
Vol 13 (02) ◽  
pp. 295-300 ◽  
Author(s):  
Yutaka Yabe ◽  
Yoshihiro Hagiwara ◽  
Takuya Sekiguchi ◽  
Yumi Sugawara ◽  
Masahiro Tsuchiya ◽  
...  
Keyword(s):  
Psychological Distress ◽  
Confidence Interval ◽  
Natural Disasters ◽  
Musculoskeletal Pain ◽  
Regression Models ◽  
Panel Study ◽  
Great East Japan Earthquake ◽  
Common Symptom ◽  
Logistic Regression Models ◽  
New Onset

AbstractObjectivePsychological distress is a common symptom after natural disasters. Although musculoskeletal pain also increases after natural disasters, its relation to psychological distress is not known. This study aimed to examine the association of musculoskeletal pain with new-onset psychological distress among survivors of the Great East Japan Earthquake.MethodsA panel study was conducted with survivors at 2 and 3 years after the Great East Japan Earthquake. New-onset psychological distress was defined as psychological distress absent at 2 years and present at 3 years after the disaster. The number of musculoskeletal pain sites at 2 years after the disaster was divided into 3 categories (0, 1, and ≥2). Multivariate logistic regression models were used to calculate the odds ratio and 95% confidence interval for new-onset psychological distress according to the number of musculoskeletal pain sites.ResultsThe rate of new-onset psychological distress was 6.7%. Musculoskeletal pain was associated with new-onset psychological distress. Using “0” as a reference, the adjusted odds ratios (95% confidence interval) were 1.65 (0.92-2.95) in “1” and 2.12 (1.24-3.64) in “≥2” (P for trend=.02).ConclusionsMusculoskeletal pain is associated with new-onset psychological distress among survivors of the Great East Japan Earthquake. (Disaster Med Public Health Preparedness. 2019;13:295–300)

scholarly journals Musculoskeletal pain and new-onset poor physical function in elderly survivors of a natural disaster: a longitudinal study after the great East Japan earthquake

2019 ◽  
Vol 19 (1) ◽  
Author(s):  
Yutaka Yabe ◽  
Yoshihiro Hagiwara ◽  
Takuya Sekiguchi ◽  
Yumi Sugawara ◽  
Masahiro Tsuchiya ◽  
...  
Keyword(s):  
Longitudinal Study ◽  
Natural Disasters ◽  
Physical Function ◽  
Musculoskeletal Pain ◽  
Functional Disability ◽  
Functional Decline ◽  
Great East Japan Earthquake ◽  
Low Back ◽  
Shoulder And Neck Pain ◽  
New Onset

Abstract Background Functional disability is a significant problem after natural disasters. Musculoskeletal pain is reported to increase after disasters, which can cause functional disability among survivors. However, the effects of musculoskeletal pain on functional decline after natural disasters are unclear. The present study aimed to examine the association between musculoskeletal pain and new-onset poor physical function among elderly survivors after the Great East Japan Earthquake. Methods A longitudinal study was conducted on survivors aged ≥65 years at three and 4 years after the Great East Japan Earthquake. A total of 747 persons were included in this study. Physical function was assessed using the Kihon Checklist. New-onset poor physical function was defined as low physical function not present at 3 years but present at 4 years after the disaster. Knee, hand or foot, low back, shoulder, and neck pain was assessed using a self-reported questionnaire and was defined as musculoskeletal pain. Musculoskeletal pain at 3 years after the disaster was categorized according to the number of pain regions (0, 1, ≥ 2). Multiple logistic regression analyses were performed to calculate the odds ratio (OR) and 95% confidence interval (95% CI) for new-onset poor physical function due to musculoskeletal pain. Results The incidence of new-onset poor physical function was 14.9%. New-onset poor physical function was significantly associated with musculoskeletal pain. Compared with “0” musculoskeletal pain region, the adjusted ORs (95% CI) were 1.39 (0.75–2.58) and 2.69 (1.52–4.77) in “1” and “≥ 2” musculoskeletal pain regions, respectively (p for trend = 0.003). Conclusions Musculoskeletal pain is associated with new-onset poor physical function among elderly survivors after the Great East Japan Earthquake. Monitoring musculoskeletal pain is important to prevent physical function decline after natural disasters.

scholarly journals Other musculoskeletal pain is associated with new-onset low back pain: A longitudinal study among survivors of the Great East Japan Earthquake

2020 ◽  
Author(s):  
Yutaka Yabe ◽  
Yoshihiro Hagiwara ◽  
Takuya Sekiguchi ◽  
Yumi Sugawara ◽  
Masahiro Tsuchiya ◽  
...  
Keyword(s):  
Low Back Pain ◽  
Back Pain ◽  
Longitudinal Study ◽  
Natural Disasters ◽  
Musculoskeletal Pain ◽  
Recovery Period ◽  
Great East Japan Earthquake ◽  
Low Back ◽  
Shoulder And Neck Pain ◽  
New Onset

Abstract Background Low back pain (LBP) is a common health problem experienced after natural disasters. LBP is often concurrent with other musculoskeletal pain; however, the effects of preexisting musculoskeletal pain on LBP are not clear. The purpose of this study was to elucidate the influence of other musculoskeletal pain on new-onset LBP among survivors of the Great East Japan Earthquake (GEJE). Methods A longitudinal study was conducted with survivors at three and four years after the GEJE (n = 1,782). Musculoskeletal pain, such as low back, hand and/or foot, knee, shoulder, and neck pain, were assessed with self-reported questionnaires. New-onset LBP was defined as LBP absent at three years but present at four years after the disaster. Musculoskeletal pain except for LBP at three years after the GEJE were categorized according to the number of pain sites (0, 1, ≥ 2). Multiple regression analyses were performed to calculate the odds ratio (OR) and 95% confidence interval (CI) for new-onset LBP due to the other musculoskeletal pain. Results The incidence of new-onset LBP was 14.1% (251/1,782). Other musculoskeletal pain were significantly associated with new-onset LBP. Using “0” as a reference, the adjusted OR and 95% CI for new-onset LBP were 1.69 (1.17-2.42) in ”1” and 2.85 (1.86-4.36) in “≥ 2” musculoskeletal pain (p < 0.001) Conclusions Preexisting other musculoskeletal pain was associated with new-onset LBP among survivors in the recovery period after the GEJE. Attention should be paid to other musculoskeletal pain sites to treat and prevent LBP after natural disasters.

scholarly journals Improving the odds? How to pick the winner of the English Derby

2014 ◽  
Vol 10 (1) ◽  
pp. 57-62
Author(s):  
D.J. Marlin ◽  
J.M. Williams ◽  
T. Parkin
Keyword(s):  
Logistic Regression ◽  
Confidence Interval ◽  
Regression Models ◽  
Mixed Effects ◽  
Point Estimate ◽  
Prize Money ◽  
Logistic Regression Models ◽  
Predictive Variables ◽  
Time Period ◽  
Predictive Probability

Many consider the English Derby on Epsom Downs to be ‘The Blue Riband of the Turf’. The Epsom Derby has been run annually since 1780 and the colt Diomed was the first winner. Today the Epsom Derby, run over 1.5 miles, is one of five classic races and is the second leg of the English Triple Crown, preceded by the 2,000 Guineas and followed by the St Leger. The prize money for 2010 has been in excess of £1.25 million. To the best of our knowledge, whilst epidemiological techniques have previously been applied in an attempt to identify risk factors for injury, the purpose of the present study, which we believe is unique, was to use an epidemiological approach to analyse factors that may be predictive of success (or failure) in a single race over the course of a number of consecutive years: The Epsom Derby. Information on the horses competing in the last 22 runnings of the Epsom Derby between 1988 and 2009. Univariate and multivariable single-level and mixed effects logistic regression models were developed using winning the Epsom Derby as the dependent variable. Between 1988 and 2009 in 22 runnings of the Derby, a total of 344 horses started the Epsom Derby. The number of runners in the race has varied between 12 and 25 over the same time period. On average the probability of winning the Derby between 1988 and 2009 was approximately 6% (22/344), without accounting for any potentially predictive variables. Variables that were related to an increased chance of success were being the favourite (odds ratio (OR) 4.75; 95 % confidence interval (CI) 1.58-14.3; P=0.006), the number of 2-year old wins (OR 1.45; CI 1.03-2.04; P=0.03), being foaled in Ireland (OR 2.80; CI 1.12-7.04; P=0.041) and having the same jockey in all races throughout the horses career up to and including the Derby (OR 2.53; CI 1.0-6.41; P=0.05). The highest predictive probability was for horses that started the race as a favourite, were Irish bred, had been ridden by a single jockey and had won twice as a 2-year old. Although the point estimate for this probability was 52% the degree of uncertainty around this estimate was wide, i.e. the 95% CI was 17.5 to 86.5%. Nevertheless even at the lower confidence interval this still represents a significant improvement on the approximately 6% chance of picking a winner at random. In conclusion, using mixed effects logistic regression models would allow one to improve the odds of picking the winner of the Epsom Derby over the past 22 runnings.

scholarly journals The Association between Hyperhomocysteinemia and Thoracoabdominal Aortic Aneurysms in Chinese Population

2020 ◽  
Vol 2020 ◽  
pp. 1-8
Author(s):  
Jianqing Deng ◽  
Jie Liu ◽  
Long Cao ◽  
Qun Wang ◽  
Hongpeng Zhang ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Confidence Interval ◽  
Regression Models ◽  
Case Control Study ◽  
Case Control ◽  
Aortic Aneurysms ◽  
Control Group ◽  
Case Group ◽  
Logistic Regression Models ◽  
Control Study

Objective. To shed light on the association between hyperhomocysteinemia (HHcy) and thoracoabdominal aortic aneurysms (TAAAs). Methods. From July 2013 to March 2017, we conducted a matched case–control study involving individuals who presented to the Chinese People’s Liberation Army General Hospital and underwent thoracoabdominal magnetic resonance angiography or computed tomography angiography. A total of 73 patients with TAAAs were enrolled in the case group, and 219 sex-matched subjects without TAAAs were included in the control group. We then examined the relationship between HHcy and TAAAs by logistic regression models and subgroup as well as interaction analyses. Results. Serum total homocysteine (tHcy) concentrations and the proportion of HHcy were significantly higher in the patients with TAAAs than in those without TAAAs (P<0.001). Furthermore, the multivariate logistic regression models indicated that participants with HHcy had a 2.14-fold higher risk of TAAAs than those with a normal serum tHcy level (adjusted odds ratio (OR), 2.14; 95% confidence interval, 1.00–4.56). Similarly, each 1 μmol/L increase in the serum tHcy concentration was associated with a 4% higher risk of TAAAs (adjusted OR, 1.04; 95% confidence interval, 1.00–1.07). Subgroup analyses indicated that HHcy tended to be associated with a greater risk of TAAAs in all stratified subgroups (adjusted ORs>1). Furthermore, the interaction analyses revealed no interactive role in the association between HHcy and TAAAs. Conclusions. The present case–control study suggests that HHcy is an independent risk factor for TAAAs. Larger prospective cohort studies are warranted to validate these findings.

Leaving Home for College and Gaining Independence

2002 ◽  
Vol 34 (6) ◽  
pp. 981-999 ◽  
Author(s):  
Clara H Mulder ◽  
William A V Clark
Keyword(s):  
Regression Models ◽  
Panel Study ◽  
Event History ◽  
Income Dynamics ◽  
Economic Independence ◽  
Leaving Home ◽  
Parental Income ◽  
Logistic Regression Models ◽  
Returning Home ◽  
The Usa

As more and more young US adults attend college it has become an increasingly important filter in the process of becoming an independent household. Now for a large number of young adults living in the USA, living away at college is a first step in the process of gaining residential and economic independence. We analyze leaving home to go to college, the choice between returning home and becoming independent after living away at college, and the influence of experience with living away at college on becoming an independent household. We use data from the Panel Study of Income Dynamics (PSID) and multilevel event-history and logistic-regression models to show that the likelihood of leaving home for college is positively affected by the father's education and the parental income. Unlike in previous research, we find evidence for the ‘feathered-nest’ hypothesis, in that the likelihood of returning home increases with parental income.

scholarly journals Factors modifying performance of a novel citizen text message alert system in improving survival of out-of-hospital cardiac arrest

2017 ◽  
Vol 7 (5) ◽  
pp. 397-404 ◽  
Author(s):  
Ruud WM Pijls ◽  
Patty J Nelemans ◽  
Braim M Rahel ◽  
Anton PM Gorgels
Keyword(s):  
Cardiac Arrest ◽  
Confidence Interval ◽  
Odds Ratio ◽  
Regression Models ◽  
Text Message ◽  
Alert System ◽  
Logistic Regression Models ◽  
Impact On Survival ◽  
Prolonged Delay ◽  
Hospital Cardiac Arrest

Aims: Recently we found that the text message alert system increases survival of sudden out-of-hospital cardiac arrest. The aim of the present study is to explore the contribution of the system to survival specifically in resuscitation settings with prolonged delay of start of resuscitation. Methods and results: Data were used from consecutive patients resuscitated for out-of-hospital cardiac arrest during a two-year period in the Dutch province Limburg. Survival of 291 cases with out-of-hospital cardiac arrest where one or more volunteers attended (Scenario 2) was compared with survival of 131 cases with out-of-hospital cardiac arrest where no volunteers attended and only standard care was given (Scenario 1). Multivariable logistic regression models including terms for interaction between scenario and the covariate coding for resuscitation setting were used to test for effect modification. The highest impact on survival of the alert system was observed in cases of (a) witnessed arrests (odds ratio=2.25; 95% confidence interval: 1.27–4.00; p=0.005); (b) arrests that occurred in the home (odds ratio=2.28; 95% confidence interval: 1.21–4.28; p=0.011); (c) arrival of the ambulance with a delay of 7–10 min (odds ratio=2.63; 95% confidence interval: 1.09–6.35; p=0.032); and (d) arrests at evening/night (odds ratio=3.07; 95% confidence interval: 1.34–7.03; p=0.008). Due to the low sample size, p-values from tests for interaction were non-significant. Conclusion: The contribution of the alert system to survival is most substantial in cases of witnessed arrest, in the home situation, at slightly delayed arrival of the first ambulance and during the evening/night.

Musculoskeletal pain in other body sites is associated with new-onset low back pain: A longitudinal study among survivors of the Great East Japan Earthquake

2020 ◽  
Author(s):  
Yutaka Yabe ◽  
Yoshihiro Hagiwara ◽  
Takuya Sekiguchi ◽  
Yumi Sugawara ◽  
Masahiro Tsuchiya ◽  
...  
Keyword(s):  
Low Back Pain ◽  
Back Pain ◽  
Longitudinal Study ◽  
Musculoskeletal Pain ◽  
Recovery Period ◽  
Great East Japan Earthquake ◽  
Low Back ◽  
Pain Site ◽  
One Year ◽  
New Onset

Abstract Background: Low back pain (LBP) is a common health problem experienced after natural disasters. LBP is often concurrent with other musculoskeletal pain; however, the effects of preexisting musculoskeletal pain on the development of LBP are not clear. The purpose of this study was to elucidate the association of musculoskeletal pain in other body sites with new-onset LBP among survivors of the Great East Japan Earthquake (GEJE). Methods: A longitudinal study was conducted with survivors of the GEJE. The survivors who did not have LBP at the three year time period after the GEJE were followed up one year later (n = 1,782). Musculoskeletal pain, such as low back, hand and/or foot, knee, shoulder, and neck pain, were assessed with self-reported questionnaires. The outcome of interest was new-onset LBP, which was defined as LBP absent at three years but present at four years after the disaster. The main predictor was musculoskeletal pain in other body sites three years after the GEJE, which was categorized according to the number of pain sites (0, 1, ≥ 2). Multiple regression analyses were performed to calculate the odds ratio (OR) and 95% confidence interval (CI) for new-onset LBP due to musculoskeletal pain in other body sites. Results: The incidence of new-onset LBP was 14.1% (251/1,782). Musculoskeletal pain in other body sites was significantly associated with new-onset LBP. Including people without other musculoskeletal pain as a reference, the adjusted OR and 95% CI for new-onset LBP were 1.73 (1.16-2.57) for people with one musculoskeletal pain site and 3.20 (2.01-5.09) for people with ≥ 2 sites (p < 0.001). Conclusions: Preexisting musculoskeletal pain in other body sites was associated with new-onset LBP among survivors in the recovery period after the GEJE .

Physical activity accrued as part of public transport use in England

2018 ◽  
Vol 41 (2) ◽  
pp. 222-230 ◽  
Author(s):  
R Patterson ◽  
E Webb ◽  
C Millett ◽  
A A Laverty
Keyword(s):  
Physical Activity ◽  
Logistic Regression ◽  
Confidence Interval ◽  
Public Transport ◽  
Regression Models ◽  
Daily Life ◽  
Active Travel ◽  
Linear Regression Models ◽  
Physical Activity Guidelines ◽  
Logistic Regression Models

Abstract Background Walking and cycling for transport (active travel) is an important source of physical activity with established health benefits. However, levels of physical activity accrued during public transport journeys in England are unknown. Methods Using the English National Travel Survey 2010–14 we quantified active travel as part of public transport journeys. Linear regression models compared levels of physical activity across public transport modes, and logistic regression models compared the odds of undertaking 30 min a day of physical activity. Results Public transport users accumulated 20.5 min (95% confidence interval=19.8, 21.2) a day of physical activity as part of public transport journeys. Train users accumulated 28.1 min (26.3, 30.0) with bus users 16.0 min (15.3, 16.8). Overall, 34% (32%, 36%) of public transport users achieved 30 min a day of physical activity in the course of their journeys; 21% (19%, 24%) of bus users and 52% (47%, 56%) of train users. Conclusion Public transport use is an effective way to incorporate physical activity into daily life. One in three public transport users meet physical activity guidelines suggesting that shifts from sedentary travel modes to public transport could dramatically raise the proportion of populations achieving recommended levels of physical activity.

scholarly journals Association of musculoskeletal pain in other body parts with new-onset shoulder pain: a longitudinal study among survivors of the Great East Japan Earthquake

BMJ Open ◽  
2021 ◽  
Vol 11 (2) ◽  
pp. e041804
Author(s):  
Yoshihiro Hagiwara ◽  
Yutaka Yabe ◽  
Takuya Sekiguchi ◽  
Yumi Sugawara ◽  
Masahiro Tsuchiya ◽  
...  
Keyword(s):  
Longitudinal Study ◽  
Shoulder Pain ◽  
Musculoskeletal Pain ◽  
Body Part ◽  
Great East Japan Earthquake ◽  
Low Back ◽  
Body Parts ◽  
Public Health Policies ◽  
Shoulder And Neck Pain ◽  
New Onset

ObjectiveShoulder pain is a common health problem coexisting with other musculoskeletal pain. However, the effects of pre-existing musculoskeletal pain on the development of shoulder pain are not clear. The present study aimed to elucidate the association between coexisting musculoskeletal pain at other body sites and new-onset shoulder pain among survivors of the Great East Japan Earthquake (GEJE).DesignThis is a longitudinal study.SettingThe study was conducted at the severely damaged coastal areas in Ishinomaki and Sendai cities.ParticipantsThe survivors who did not have shoulder pain at 3 years after the GEJE were followed up 1 year later (n=2131).InterventionsMusculoskeletal pain (low back, hand and/or foot, knee, shoulder and neck pain) was assessed using self-reported questionnaires.Main outcome measuresThe outcome of interest was new-onset shoulder pain, which was defined as shoulder pain absent at 3 years but present at 4 years after the disaster. The main predictive factor for new-onset shoulder pain was musculoskeletal pain in other body parts at 3 years after the GEJE; this was categorised according to the number of pain sites (0, 1, ≥2). Multiple regression analyses were conducted to calculate the odds ratio (OR) and 95% confidence interval (CI) for new-onset shoulder pain due to musculoskeletal pain in other body parts.ResultsThe incidence of new-onset shoulder pain was 6.7% (143/2131). Musculoskeletal pain in other body parts was significantly associated with new-onset shoulder pain. Using the survivors without other musculoskeletal pain as reference, the adjusted OR and 95% CI for new-onset shoulder pain were 1.86 (1.18 to 2.94) for those with one body part and 3.22 (2.08 to 4.98) for those with ≥2 body parts presenting with musculoskeletal pain (p<0.001).ConclusionsPre-existing musculoskeletal pain in other body parts was significantly associated with new-onset shoulder pain among survivors; this provides useful information for clinical and public health policies.

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