Shankuan Zhu

TL;DR: A high prevalence of obesity which might differ by gender and age, and an inverse association among women and a mixed association among men noted between education and obesity in the authors' locality are suggested.

TL;DR: A new prediction model by DXA has been established to predict SM in Chinese adults and the prediction performance of this age-adjusted model was good due to ‘Leave-One-Out Cross Validation’.

TL;DR: It was found that, with greater body and trunk fat, both white and black subjects were more likely to have a low BMD than Chinese subjects, and both %BF and %TF have negative associations with BMD.

Abstract: Object: To investigate whether hand-arm vibration and noise have a combined effect on temporary threshold shift (TTS) of hearing among healthy subjects. Method and design: Nineteen healthy subjects with an average age of 25.7 (SD 7.7) years were exposed to vibration (30 m/s2, 60 Hz), noise [90 dB(A)] and both, respectively. The subject’s right hand was placed on the plate of a vibrator and the right ear exposed to noise via headphones. Subjects were exposed to vibration and/or noise for 3 min and after a 1-min pause the exposure was repeated five times. Hearing thresholds at 1, 4 and 6 kHz were measured during the time periods before, between (during pauses) and after exposure. Results: Exposure to vibration alone caused almost no hearing threshold changes at every frequency tested. But exposure to noise or a combination of vibration and noise caused a significant increase in TTSs at 4 and 6 kHz. Moreover, exposure to a combination of vibration and noise caused significantly higher TTSs than exposure to noise at 4 and 6 kHz. Conclusion: The present results demonstrate the combined effects of hand-arm vibration and noise on hearing: simultaneous exposure to hand-arm vibration and noise can enhance the TTS of hearing more than noise exposure, though hand-arm vibration alone may hardly affect TTS.

TL;DR: The higher risk of non-fatal MVC injuries in obese male drivers might result from their different body shape and fat distribution compared with obese female drivers.