Epidemiological investigation of metabolic syndrome in the elderly and study on preventive measures
10.3969/j.issn.1006-2483.2021.03.025
- VernacularTitle:老年代谢综合征流行病学调查及预防措施
- Author:
Luyu LIU
1
,
2
;
Aixia LIU
1
,
2
;
Lulu WANG
3
,
4
;
Lin XYU
5
,
6
,
7
Author Information
1. Department of Endocrinology, Affiliated Hospital of Shaanxi University of Traditional Chinese Medicine, Xi'
2. an 712000, China
3. Department of Endocrinology, Shaanxi Province Hospital , Xi'
4. an 710003 , China
5. Department of Endocrinology, Xi'
6. an Fourth Hospital, Xi '
7. an 710004, China
- Publication Type:Journal Article
- Keywords:
Elderly;
Metabolic syndrome;
Epidemiology;
Preventive measure
- From:
Journal of Public Health and Preventive Medicine
2021;32(3):107-110
- CountryChina
- Language:Chinese
-
Abstract:
Objective To investigate the epidemiological characteristics of metabolic syndrome in the elderly, and to develop scientific prevention and control measures. Methods Physical examination personnel in Xianyang district from January 2017 to January 2020 were selected by random sampling method. The prevalence and epidemiological characteristics of the patients with metabolic syndrome were calculated according to the diagnostic criteria of metabolic syndrome. Intervention measures were implemented for patients with metabolic syndrome, and changes in survival and body quality were compared before and after intervention. SPSS 20.0 software was used for T test, rank sum test and Spearman rank correlation analysis, and the test level was α=0.05. Results There were 587 cases of metabolic syndrome in Xianyang area, and the overall prevalence rate was 13.81%. Complete clinical data of 566 elderly patients with metabolic syndrome were obtained. Age of 60~69 years old, overweight, obesity, activity time <3 hours per day, sitting time ≥8 hours per day, smoking history, and drinking history were independent risk factors for metabolic syndrome (all P<0.05, all OR>1). After the intervention, scores of diet management, exercise management and cognition management in all age groups were higher than those before the intervention (P<0.05). In addition, values of triglyceride, high-density lipoprotein and BMI were better than those before the intervention (P<0.05). Conclusion Age of 60~69 years old, overweight, obesity, activity time <3 hours per day, sitting time ≥8 hours per day, smoking and alcohol consumption are the risk factors for the occurrence of metabolic syndrome in the elderly. Targeted interventions are of vital importance in helping patients to establish suitable self-management and executive ability.
