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- Title
我国临床护士胰岛素注射操作实地评价 现状及影响因素.
- Authors
YUAN Li; ZHAO Fang; ZHANG Mingxia; XIAO Lingfeng; XING Qiuling; WANG Qun; ZHOU Yingxia; MO Yongzhen; LI Yangxi; ZHANG Hongmei; ZHANG Ning; SUN Xiaofang; LIU Zhiping; LI Rao
- Abstract
Objective:To evaluate the effect of waist circumference (WC) and waist-to-height ratio (WHtR) combined with body mass index(BMI) in predicting the ri.sk of di.sea.se in patients with dyslipidemia. Methods: From January to December 2019, a total of 29 463 peoples who underwent physical examination in a tertiary grade A hospital in Guangzhou city were selected as the research subjects. The Kappa consistency test was applied to assess the consistency of BMI, WC and WHtR in determining overweight/obesity. Logistic regression model was used to analyze the association of BMI, WC and WHtR with the risk of dyslipidemia. And stratified analysis was used to assess the joint effect of BMI, WC and WHtR on the risk of dyslipidemia prevalence. Results:A total of 9 180 patients (31.2%) with dyslipidemia were detected, including 6 984 males(41. 2%) and 2 196 females(17. 5%). Using BMI alone, 8. 8% of WHtR central obesity and 8. 6% of WC central obesity were missed in those with BMI<24. 0 kg/m2. Using WHtR or WC alone, 18. 9% and 18. 4% of overweight/obese were misclassified in those with normal WHtR or WC, respectively. The sensitivity of diagnosing dyslipidemia using the best cut point of BMI, WC or WHtR alone was not high in all cases, with 33. 65%, 39. 95% and 40. 57% of dyslipidemia individuals being missed, respectively, while the combined use of BMI and WC, and BMI and WHtR decreased to 27. 59% and 27. 71% of missed diagnoses. The results of Logistic regression analysis showed that BMI s association with low HDL cholesterolemia was higher than WC and WHtR, while the OR of WHtR to predict all other types of dyslipidemia was greater than that of BMI. Stratified analysis showed that the risk of dyslipidemia in those with overweight/obese BMI and centrally obese WC and WHtR was 2. 483 and 2. 478 times higher than both normal, respectively. Conclusions: BMI, WC and WHtR are all influencing factors in the prevalence of dyslipidemia in patients. WC and WHtR combined with BMI can efficiently identify people with dyslipidemia, and maintaining normal weight and WC can help reduce the risk of dyslipidemia.
- Subjects
NURSING audit; NURSES' attitudes; MULTIVARIATE analysis; NURSING services administration; INSULIN; NURSING practice; SURVEYS; PEARSON correlation (Statistics); NURSES; QUESTIONNAIRES; DESCRIPTIVE statistics; STATISTICAL sampling
- Publication
Chinese Nursing Research, 2022, Vol 36, Issue 11, p1887
- ISSN
1009-6493
- Publication type
Academic Journal
- DOI
10.12102/j.issn.1009-6493.2022.11.002