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1.
Biomedical and Environmental Sciences ; (12): 749-757, 2017.
Article in English | WPRIM | ID: wpr-311353

ABSTRACT

<p><b>OBJECTIVE</b>Although sleep is one of the most important health-related behavioral factors, the association between night sleep duration and cognitive impairment has not been fully understood. A cross-sectional study was conducted with a random sample of 2,514 participants (⋝ 40 years of age; 46.6% women) in China to examine the association between night sleep duration and cognitive impairment.</p><p><b>METHODS</b>Night sleep duration was categorized as ⋜ 5, 6, 7, 8, or ⋝ 9 h per night. Cognitive function was measured using the Mini-Mental State Examination. A multivariate regression analysis was used to analyze the association of night sleep duration with cognitive impairment. A total of 122 participants were diagnosed with cognitive impairment.</p><p><b>RESULTS</b>A U-shaped association between night sleep duration and cognitive impairment was found. The odds ratios (95% confidence intervals) of cognitive impairment (with 7 h of daily sleep being considered as the reference) for individuals reporting ⋜ 5, 6, 8, and ⋝ 9 h were 2.14 (1.20-3.83), 1.13 (0.67-1.89), 1.51 (0.82-2.79), and 5.37 (1.62-17.80), respectively (P ⋜ 0.01).</p><p><b>CONCLUSION</b>Short or long night sleep duration was an important sleep-related factor independently associated with cognitive impairment and may be a useful marker for increased risk of cognitive impairment..</p>


Subject(s)
Female , Humans , Male , Middle Aged , China , Cognitive Dysfunction , Cross-Sectional Studies , Risk Factors , Sleep , Physiology , Time Factors
2.
Chinese Journal of Preventive Medicine ; (12): 622-626, 2013.
Article in Chinese | WPRIM | ID: wpr-355795

ABSTRACT

<p><b>OBJECTIVE</b>To explore the impact of the waist circumference change on new onset diabetes (NOD) in the impaired fasting glucose (IFG) population.</p><p><b>METHODS</b>A total of 12 657 subjects who took part in the health examination from 2006 to 2007 and from 2010 to 2011 from the employees of Kailuan Group and met the inclusion criteria were selected as the observation cohort.Of the 12 657 subjects, 10 697 were male, 1960 were female, with age of (49.9 ± 11.3) years old. According to the baseline waist circumference (WC) measurements and its quartile in the health examinations during 2006 to 2007, the observation population was divided into four groups (first, second, third and the fourth quartile groups) . Multiple logistic regression analysis was used to test the relation between the increasing of WC and NOD.</p><p><b>RESULTS</b>The incidences in the IFG population of NOD were 4.27% (1884/12 657) in the total population;4.25% (1581/10 697) in male and 4.44% (303/1960) in females, respectively (P < 0.05) . Along with increasing WC in the 4 quartile groups, the incidences of NOD was progressively increased, which were 2.19% (235/3083) , 3.07% (333/3114) , 4.47% (473/3037) and 7.08% (843/3423) , respectively;2.34% (213/2626) , 3.06% (282/2645) , 4.37% (393/2582), 7.00% (693/2844) in males and 1.38% (22/457) , 3.12% (51/469) , 5.05% (80/455) , 7.45% (150/579) in female (P < 0.05) . Multiple logistic regression analysis showed that compared with the first quartile group, the second, third and fourth quartile group had increased risk of NOD after adjusting for age, gender and other risk factors, the OR (95%CI) values were 1.38(1.13-1.68), 1.79 (1.47-2.09) and 3.10 (2.57-3.75), respectively.</p><p><b>CONCLUSION</b>The incidence of NOD in the IFG population increased as the WC increased.</p>


Subject(s)
Adult , Female , Humans , Male , Middle Aged , Blood Glucose , Metabolism , Diabetes Mellitus, Type 2 , Epidemiology , Glucose Intolerance , Epidemiology , Incidence , Risk Factors , Waist Circumference
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