Investigation on the Influencing Factors of Adult Dyslipidemia in Shunqing District of Nanchong City

LIU Kai-xiang, FENG Jie, ZHAO Yu-zhang, ZHENG Zai-qiong, XIE Xi-sheng

Abstract

To analyze the risk factors of dyslipidemia of adult residents in Shunqing District of Nanchong City.  Methods  A five-stage stratified cluster sampling method was used to select adult residents from 9 communities in the urban area of Shunqing District of Nanchong City from January 2013 to April 2018 for questionnaires survey,physical measurement and laboratory test. Univariate analysis and multivariate logistic regression analysis were used to study the influencing factors of dyslipidemia.  Results  A total of 105 956 people was investigated,and the prevalence rate of dyslipidemia was 34.2% (36 272 cases). Among them, the prevalence rate of male was 38.11%, and 31.91% for female (P<0.01). The proportion of dyslipidemia with hypertension, diabetes, and coronary heart disease was 13.46%, 5.74%, and 0.39%, respectively. The proportion of hypertension with diabetes was 2.79%. Multivariate logistic regression analysis showed that gender (odds ratio (OR)=1.276, P<0.001), body mass index (OR=1.052, P<0.001), education level (set ≤elementary school as reference, high school OR=1.094, P<0.001, ≥graduated OR=1.185, P<0.001), smoking history (OR=1.124, P<0.001), coronary heart disease (OR=1.189, P<0.001), hypertension (OR=1.148, P<0.001),sdiabetes (OR=1.967, P<0.001), and family history of dyslipidemia (OR=1.760, P<0.001) were the influencing factors of dyslipidemia in residents of this region. Conclusions The dyslipidemia of urban residents in Nanchong area is highly concerned with hypertension, diabetes, and coronary heart disease. Male, obesity, high education level, smoking, coronary heart disease, hypertension, diabetes, and family history of dyslipidemia are risk factors for dyslipidemia in urban residents of Nanchong area. It is necessary to actively target the above risk factors and high-risk groups.

 

Keywords: Dyslipidemia, Risk factors, Logistic regression analysis

 

Full Text:

PDF


References


KRITHARIDES L， NICHOLLS S J. Men and women—similar but not identical: insights into LDL-lowering therapy in women from the Cholesterol Treatment Trialists Collaboration. Future Cardiol，2015， 11(5): 511–515.

SANDESARA P B， VIRANI S S， FAZIO S， et al. The forgotten lipids: triglycerides, remnant cholesterol, and atherosclerotic cardiovascular disease risk. Endocr Rev，2019，40(2): 537–557.

TOTH P P. Triglyceride-rich lipoproteins as a causal factor for cardiovascular disease. Vasc Health Risk Manag，2016，12: 171–183.

ALBERTI K G， ZIMMET P Z. Definition， diagnosis and classification of diabetes mellitus and its complications. Part 1: diagnosis and classification of diabetes mellitus provisional report of a WHO consultation. Diabet Med，1998，15(7): 539–553.

KOPIN L， LOWENSTEIN C. Dyslipidemia. Ann Intern Med，2017， 167(11): ITC81–ITC96.

QI L， DING X， TANG W， et al. Prevalence and risk factors associated with dyslipidemia in Chongqing, China. Int J Environ Res Public Health， 2015，12(10): 13455–13465.

[14] YANG W， XIAO J， YANG Z， et al. Serum lipids and lipoproteins in Chinese men and women. Circulation，2012，125(18): 2212–2221. WEISS C O， VARADHAN R， PUHAN M A， et al. Multimorbidity and evidence generation. J Gen Intern Med，2014，29(4): 653–660.

SMITH S M， SOUBHI H， FORTIN M， et al. Managing patients with multimorbidity: systematic review of interventions in primary care and community settings. BMJ， 2012， 345: e5205[2019-10-03]. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3432635. doi: 10.1136/bmj.e5205.

ZEMEDIKUN D T， GRAY L J， KHUNTI K， et al. Patterns of multimorbidity in middle-aged and older adults: an analysis of the UK biobank data. Mayo Clin Proc，2018，93(7): 857–866.

PRINGLE E， PHILLIPS C， THIJS L， et al. Systolic blood pressure variability as a risk factor for stroke and cardiovascular mortality in the elderly hypertensive population. J Hypertens，2003，21(12): 2251–2257.

COSENTINO F， GRANT P J， ABOYANS V， et al. 2019 ESC Guidelines on diabetes， pre-diabetes， and cardiovascular diseases developed in collaboration with the EASD. Eur Heart J， 2019[2019-09-17]. https://academic.oup.com/eurheartj/advance-article/doi/10.1093/eurheartj/ehz486/5556890. doi: 10.1093/eurheartj/ehz486.

PANG W， SUN Z， ZHENG L， et al. Body mass index and the prevalence of prehypertension and hypertension in a Chinese rural population. Intern Med，2008，47(10): 893–897.


Refbacks

  • There are currently no refbacks.