LI Xuan, XIE Daoqing, WANG Chao, LIU Chaoxiong, ZHANG Can
Objective To investigate the way in which BMI, exercise habits and sleep quality of flight personnel of different ages tend to change so as to provide data for aeromedical support for flight personnel. Methods By means of a questionnaire, 112 personnel were randomly selected and divided into four groups by age. BMI, exercise habits and sleep quality were investigated to analyze the correlations between age and the above factors. Results Among the 112 personnel, 83.04% were normal weight and 16.96% were overweight or obese. There were statistical differences in BMI between different age groups(F=4.278, P=0.007). Within the normal range of weight, there were statistical differences in BMI between different age groups(F=3.586, P=0.017), the average BMI in groups ages 30 to 39 and 40 to 49 was higher than that of the group under 30(P<0.05). There was a positive correlation between age and BMI(rs=0.318, P<0.001). There were statistically significant differences in the types of physical activity these subjects were engaged in(χ2=190.903, P<0.001). More people took to jogging and workout with equipment than ball games and other forms of exercise(P<0.05), with jogging as the most popular exercise(P<0.05). There were statistically significant differences between the four age groups in preference for jogging, workout with equipment, ball games and other forms of exercise(χ2=15.136, 8.333, 10.728, 16.153, P=0.001, 0.036, 0.008, <0.001). Jogging was less popular in the group aged 50 and older(P<0.05), and the participation rate of other sports is higher than that of the other three age groups(all P<0.05). There were significant differences in the types of exercise chosen by personnel of different ages(H=8.719, P=0.033). The group aged 50 and older were engaged in smaller varieties of exercise than those in the group under 30(P<0.05). The age of personnel was negatively correlated with workout with equipment and ball games(rs=-0.208, -0.325, P=0.027, <0.001), positively correlated with other forms of exercise(rs=0.343, P<0.001), and negatively correlated with types of exercise(rs=-0.248, P=0.008). There were statistically significant differences in the proportion of sleep deficiency between the four age groups(χ2=8.148,P=0.041). There were significant differences in sleep time between the four age groups(H=9.113, P=0.028). There are differences in the factors that affect the sleep quality of flight personnel(χ2=20.341, P<0.001). Light sleep was more common than dreaminess and early waking(P<0.05). Early waking was more prevalent in the group ages 40 to 49 and in the group aged 50 and older than in the other two groups(P<0.05). There is a statistically significant difference in the incidence of early awakening among flight personnel of different age groups(χ2=13.258, P=0.002). There were statistically significant differences in influencing factors of sleep quality(H=13.879, P=0.003). There are more types of influencing factors on sleep quality among flight personnel in the group ages 30 to 39 and in the group ages 40 to 49 than those in the group under 30(all P<0.05). The age of personnel was negatively correlated with the rate of sleep deficiency and sleep time(rs=-0.247, -0.264, P=0.009, 0.005), but positively correlated with such influencing factors as dreaminess and early waking(rs=0.209, 0.330, 0.312, P=0.027, <0.001, <0.001). The difficulty in falling asleep was negatively correlated with sleep time(rs=-0.430, P<0.001), and negatively correlated with the rate of sleep deficiency(rs=-0.352, P<0.001). Dreaminess was negatively correlated with jogging(rs=-0.221, P=0.019), and positively correlated with light sleep(rs=0.200, P=0.035). Conclusions With the increase of age and BMI, flight personnel tends to engage in simpler types of exercise, and is more vulnerable to sleep deficiency and early waking. They should be given guidance and quick interventions to ensure their sleep quality. Flight personnel of different ages should be scientifically guided based on their exercise habits and promptly intervened in factors that affect their sleep quality decline, in order to maintain their physical health and extend their flight lifespan.