Recent research on human behavior has often collected empirical data from the online labor market, through a process known as crowdsourcing. As well as the United States and the major European countries, there are several crowdsourcing services in Japan. For research purpose, Amazon's Mechanical Turk (MTurk) is the widely used platform among those services. Previous validation studies have shown many commonalities between MTurk workers and participants from traditional samples based on not only personality but also performance on reasoning tasks. The present study aims to extend these findings to non-MTurk (i.e., Japanese) crowdsourcing samples in which workers have different ethnic backgrounds from those of MTurk. We conducted three surveys (N = 426, 453, 167, respectively) designed to compare Japanese crowdsourcing workers and university students in terms of their demographics, personality traits, reasoning skills, and attention to instructions. The results generally align with previous studies and suggest that non-MTurk participants are also eligible for behavioral research. Furthermore, small screen devices are found to impair participants' attention to instructions. Several recommendations concerning this sample are presented.

Background Oral cavity is a reservoir of various respiratory pathogens, and poor oral hygiene is associated with an increase in anaerobic bacteria in oral cavity. In addition, it positively relates higher risk of developing pneumonia and increased pneumonia‐related mortality. However, the association between poor oral hygiene and increase in obligate anaerobes in the lungs of pneumonia patients is unclear. Methods A total of 39 patients with pneumonia in whom bronchoscopic examination and oral hygiene evaluation were performed were prospectively enrolled. The microbiota of the bronchoalveolar lavage fluid (BALF) directly obtained from the pneumonia lesion was analysed by the clone library analysis. In addition, oral hygiene evaluations were performed using oral hygiene index (OHI), tongue coating score, oral dryness, and community periodontal index of treatment needs (CPITN). The association between the detection of oral streptococci and obligate anaerobes and oral hygiene status was evaluated. Results Using the clone library analysis of BALF, the phylotypes of oral streptococci and obligate anaerobes were detected in 31 (79.5%) and 26 (66.7%) patients, respectively. Increased oral dryness, OHI, and CPITN, but not the tongue coating score, significantly correlated with higher rate of detection of obligate anaerobes, although no significant associations between the detection of oral streptococci in the lungs and each oral hygiene evaluation were observed. Significantly higher number of obligate anaerobes were detected in the lungs in patients with total oral hygiene score of ≥ 5 (P = 0.008). Conclusion Poor oral hygiene is associated with increased obligate anaerobes in the lungs of patients with pneumonia.

No abstract

No abstract

No abstract