ABSTRACT
Objective@#To examine the associations of sleep with overweight/obesity and central obesity in adults, so as to provide insights into improving sleep quality and preventing obesity in adults.@*Methods@#Demographics, height, body weight, waist circumstance and sleep status were collected from the Hubei Provincial Surveillance Program for Adult Chronic Diseases and Their Risk Factors in 2020. Subjects' sleep condiction, overweight/obesity and central obesity were descriptively analyzed. The associations of sleep with overweight/obesity and central obesity were examined using a multivariable logistic regression model.@*Results@#A total of 17 789 participants were recruited, with an average age of (56.21±13.05) years, 61.50% women, and mean duration of (7.18±1.56) h/d. There were 7 019 participants with snoring/asphyxia/suffocation (39.46%), 6 108 participants with sleep difficulty (34.34%), 8 064 participants with night waking at least twice (45.33%), 268 participants taking hypnotics (1.51%), and 6 267 participants with early morning awakening and difficulty in sleep again (35.23%), and there were 8 960 participants with overweight/obesity (50.37%) and 6 148 participants with central obesity (34.56%). Multivariable logistic regression analysis showed that sleep duration of <7 h/d (OR=1.081, 95%CI: 1.007-1.159), snoring/asphyxia/suffocation (OR=2.367, 95%CI: 2.222-2.521), and night waking at least twice (OR=1.106, 95%CI: 1.028-1.191) significantly correlated with overweight/obesity, and sleep duration of >8 h/d (OR=0.834, 95%CI: 0.761-0.913), snoring/asphyxia/suffocation (OR=2.153, 95%CI: 2.019-2.297), and night waking at least twice (OR=1.193, 95%CI: 1.105-1.288) were statistically associated with central obesity.@*Conclusion@#Sleep duration, snoring/asphyxia/suffocation and night waking are associated with overweight/obesity and central obesity.
ABSTRACT
Objective To investigate the current health status of the targeted recipients of the precision poverty alleviation program in Taiziwan Village, Shazhenxi Town, Zigui County and explore its influencing factors, and to provide reference for the formulation of local health poverty alleviation policies. Methods A cluster sampling method was used to investigate 115 poverty alleviation recipients aged 18 and above in Taiziwan Village. The status of “physiological health” and “mental health” was investigated using the international general SF-36 (Chinese version) health scale. Results The survey subjects were mainly the people with advanced age, low education background and suffering from chronic diseases. Except for the physiological function score being more than 70 points, the scores of other dimensions were all 60 points around. The scores were 61.74±19.86 points for physical health and 59.05±16.91 points for mental health, respectively. People aged 60 and above scored lower in all dimensions than those aged under 60. Factors that affected both physical and mental health of the whole population were advanced age and chronic diseases. While the factors that affected physical health of people aged 60 and above were chronic diseases, the factors that affected mental health were chronic diseases and a long interval between children's home visits. Conclusion The health status of people aged 60 and above is worse than that of people aged below 60. Their physical health is affected by chronic diseases, and their mental health is affected by chronic diseases and children's visit cycles. While formulating poverty alleviation policies for physical health, an attention should also be paid to mental health.
ABSTRACT
As the life expectancy of the population increases and traditional indexes are flawed in reflecting the health level, the concept of the healthy life expectancy has emerged, which integrates the length of the life and quality, more comprehensively reflects the health level of the population. This article has summarized the emergence and development of health life expectancy, classification of indexes, and commonly used measurement methods, as well as domestic and international application examples, and domestic research status. It proposes to establish a unified national measurement method, and make full use of big data resources in health care to comprehensively assess the health life expectancy of the population.