scholarly journals Association between Laughter and Lifestyle Diseases after the Great East Japan Earthquake: The Fukushima Health Management Survey

Author(s):  
Eri Eguchi ◽  
Tetsuya Ohira ◽  
Hironori Nakano ◽  
Fumikazu Hayashi ◽  
Kanako Okazaki ◽  
...  

We investigated the association between the frequency of laughter and lifestyle diseases after the Great East Japan Earthquake. We included 41,432 participants aged 30–89 years in the Fukushima Health Management Survey in fiscal year 2012 and 2013. Gender-specific, age-adjusted and multivariable odds ratios of lifestyle diseases were calculated using logistic regressions stratified by evacuation status. Those who laugh every day had significantly lower multivariable odds ratios for hypertension (HT), diabetes mellitus (DM) and heart disease (HD) for men, and HT and dyslipidemia (DL) for women compared to those who do not, especially in male evacuees. The multivariable odds ratios (95% confidence intervals) of HT, DM and HD (non-evacuees vs. evacuees) for men were 1.00 (0.89–1.11) vs. 0.85 (0.74–0.96), 0.90 (0.77–1.05) vs. 0.77 (0.64–0.91) and 0.92 (0.76–1.11) vs. 0.79 (0.63–0.99), and HT and DL for women were 0.90 (0.81–1.00) vs. 0.88 (0.78–0.99) and 0.80 (0.70–0.92) vs. 0.72 (0.62–0.83), respectively. The daily frequency of laughter was associated with a lower prevalence of lifestyle disease, especially in evacuees.

2017 ◽  
Vol 27 (1) ◽  
pp. 14-23 ◽  
Author(s):  
Wen Zhang ◽  
Tetsuya Ohira ◽  
Masafumi Abe ◽  
Kenji Kamiya ◽  
Shunichi Yamashita ◽  
...  

2019 ◽  
Vol 248 (4) ◽  
pp. 239-252 ◽  
Author(s):  
Yuka Ueda ◽  
Michio Murakami ◽  
Masaharu Maeda ◽  
Hirooki Yabe ◽  
Yuriko Suzuki ◽  
...  

2015 ◽  
Vol 198 ◽  
pp. 102-105 ◽  
Author(s):  
Hitoshi Suzuki ◽  
Tetsuya Ohira ◽  
Yasuchika Takeishi ◽  
Mitsuaki Hosoya ◽  
Seiji Yasumura ◽  
...  

2009 ◽  
Vol 104 (1) ◽  
pp. 77-101 ◽  
Author(s):  
John Russell Hughes ◽  
Kenneth G. Busch ◽  
Robert John Zagar ◽  
William M. Grove ◽  
Jack Arbit

To study risks of abuse, violence, and homicide, 181 Abused Children ( M age= 12.85 yr., SD = 2.14; 58 girls, 123 boys) were matched with 181 clinic-referred Controls. Data analysis was Shao's bootstrapped logistic regression with area under curve ( AUC) and odds ratios ( OR). Predictors of abused status were court contacts ( OR = 2.04e+22) and poorer executive function ( OR = .81; AUC=.99; 95% CI = .91−.99). Groups were tracked forward in records for 9 years ( M=8.78 yr., SD =1.41). Looking forward, youth ( M age = 21.63 yr., SD = 2.07) were classified into Abused Children Later Homicidal (5%, n = 10), Abused Children Later Violent (23%, n = 41), Abused Children Later Delinquent (28%, n = 50), Abused Children Later Nondeliquent (44%, n = 80), and Controls ( n = 181). Data were analyzed with two more logistic regressions. Predictors of Abused Children Later Homicidal compared with Controls were number of court contacts ( OR =50,398.78) and poorer executive function ( OR = 79.72; AUC =.91; 95% CI= .80−.95). The predictor of Abused Children Later Homicidal contrasted with Abused Children Later Nondelinquent was court contacts ( OR = 2,077,089,352; AUC=.87; 95% CI =.65−.95). The common predictor for Abused Children and Abused Children Later Homicidal groups was court contacts.


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