We intend to examine whether behavioral and mental health-related determinants including stress level, daytime sleepiness, sleep disorders, smoking, drinking, physical activity, and vegetable intake were associated with severity of jet lag and symptoms of jet lag. We delivered a survey to All Nippon Airways HOLDINGS (ANA) customers in Japan and U.S. asking for their lifestyle information, subjective jet lag perceptions, and symptoms of jet lag, and obtained a sample of 1759 Japanese and 483 U.S. participants. Multivariate linear regression analysis showed a positive association between severity of jet lag perception and sleep disorders (Model 2: [b = 0.43, 95% CI 0.25; 0.61]), but a negative association between severe jet lag perception and both smoking (Model 2: [b = − 0.15, 95% CI − 0.30; − 0.00]) and physical activity (Model 2: [b = − 0.15, 95% CI − 0.28; − 0.02]). Regarding jet lag symptoms, it revealed a positive association between higher jet lag symptoms and perceived stress (Model 2: [b = 0.32, 95% CI 0.16; 0.47]), sleep disorder (Model 2: [b = 0.32, 95% CI 0.19; 0.44]), and vegetable consumption (Model 2: [b = 0.09, 95% CI 0.00; 0.17]). The results varied for other lifestyle factors, including smoking, physical activity, vegetable intake, and alcohol consumption. Given the health risks among business travelers, this preliminary analysis showed the possible importance of developing evidence-based jet lag prevention strategies.

中文翻译：

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生活方式因素和时差预防：日本和美国商务舱旅客旅行健康的初步横断面分析

我们打算检查行为和心理健康相关的决定因素，包括压力水平、白天嗜睡、睡眠障碍、吸烟、饮酒、身体活动和蔬菜摄入量是否与时差的严重程度和时差的症状有关。我们对日本和美国的全日空控股 (ANA) 客户进行了一项调查，询问他们的生活方式信息、主观时差感知和时差症状，并获得了 1759 名日本和 483 名美国参与者的样本。多元线性回归分析显示时差感知的严重程度与睡眠障碍之间呈正相关（模型 2：[b = 0.43，95% CI 0.25；0.61]），但严重时差感知与吸烟之间呈负相关（模型 2 : [b = − 0.15, 95% CI − 0.30; − 0.00]) 和身体活动（模型 2：[b = − 0.15, 95% 置信区间 - 0.28；− 0.02])。关于时差症状，它揭示了较高的时差症状与感知压力（模型 2：[b = 0.32，95% CI 0.16；0.47]）、睡眠障碍（模型 2：[b = 0.32，95% CI]）之间存在正相关0.19；0.44]）和蔬菜消费（模型 2：[b = 0.09，95% CI 0.00；0.17]）。结果因其他生活方式因素而异，包括吸烟、体育锻炼、蔬菜摄入量和饮酒量。鉴于商务旅客的健康风险，这项初步分析显示了制定循证时差预防策略的可能重要性。和蔬菜消费（模型 2：[b = 0.09，95% CI 0.00；0.17]）。结果因其他生活方式因素而异，包括吸烟、体育锻炼、蔬菜摄入量和饮酒量。鉴于商务旅客的健康风险，这项初步分析显示了制定循证时差预防策略的可能重要性。和蔬菜消费（模型 2：[b = 0.09，95% CI 0.00；0.17]）。结果因其他生活方式因素而异，包括吸烟、体育锻炼、蔬菜摄入量和饮酒量。鉴于商务旅客的健康风险，这项初步分析显示了制定循证时差预防策略的可能重要性。