» Articles » PMID: 27539174

Potential Impact of Time Trend of Life-Style Factors on Cardiovascular Disease Burden in China

Overview
Date 2016 Aug 20
PMID 27539174
Citations 50
Authors
Affiliations
Soon will be listed here.
Abstract

Background: Cardiovascular disease (CVD) is a leading cause of death in China. Evaluation of risk factors and their impacts on disease burden is important for future public health initiatives and policy making.

Objectives: The study used data from a cohort of the China Health and Nutrition Survey to estimate time trends in cardiovascular risk factors from 1991 to 2011.

Methods: We applied the comparative risk assessment method to estimate the number of CVD events attributable to all nonoptimal levels (e.g., theoretical-minimum-risk exposure distribution [TMRED]) of each risk factor.

Results: In 2011, high blood pressure, high low-density lipoprotein cholesterol, and high blood glucose were associated with 3.1, 1.4, and 0.9 million CVD events in China, respectively. Increase in body mass index was associated with an increase in attributable CVD events, from 0.5 to 1.1 million between 1991 and 2011, whereas decreased physical activity was associated with a 0.7-million increase in attributable CVD events. In 2011, 53.4% of men used tobacco, estimated to be responsible for 30.1% of CVD burden in men. Dietary quality improved, but remained suboptimal; mean intakes were 5.4 (TMRED: 2.0) g/day for sodium, 67.7 (TMRED: 300.0) g/day for fruits, 6.2 (TMRED: 114.0) g/day for nuts, and 25.0 (TMRED: 250.0) mg/day for marine omega-3 fatty acids in 2011.

Conclusions: High blood pressure remains the most important individual risk factor related to CVD burden in China. Increased body mass index and decreased physical activity were also associated with the increase in CVD burden from 1991 to 2011. High rates of tobacco use in men and unhealthy dietary factors continue to contribute to the burden of CVD in China.

Citing Articles

Identification of Chinese dietary patterns and their relationships with health outcomes: a systematic review and meta-analysis.

Hu X, Zhang R, Chan H Public Health Nutr. 2024; 27(1):e209.

PMID: 39397510 PMC: 11604330. DOI: 10.1017/S1368980024001927.


Cognition of diet quality and dietary management in elderly patients with coronary and other atherosclerotic vascular disease in western China, a qualitative research study.

Chen J, Li X, Wang Y, Zhang C, Yang L, Zhao L BMC Geriatr. 2024; 24(1):525.

PMID: 38886659 PMC: 11184894. DOI: 10.1186/s12877-024-05058-2.


Effects of a brief intervention based on Acceptance and Commitment Therapy versus usual care for cardiac rehabilitation patients with coronary heart disease (ACTonHEART): a randomised controlled trial.

Spatola C, Rapelli G, Giusti E, Cattivelli R, Goodwin C, Pietrabissa G BMJ Open. 2024; 14(6):e084070.

PMID: 38866567 PMC: 11177674. DOI: 10.1136/bmjopen-2024-084070.


Diagnostic value of uric acid to high-density lipoprotein cholesterol ratio in abdominal aortic aneurysms.

Xu J, Du X, Zhang S, Zang X, Xiao Z, Su R Ann Med. 2024; 56(1):2357224.

PMID: 38779715 PMC: 11123539. DOI: 10.1080/07853890.2024.2357224.


Lifestyle improvement and the reduced risk of cardiovascular disease: the China-PAR project.

Jiang Y, Liu F, Shen C, Li J, Huang K, Yang X J Geriatr Cardiol. 2023; 20(11):779-787.

PMID: 38098467 PMC: 10716616. DOI: 10.26599/1671-5411.2023.11.005.


References
1.
Holmes M, Lange L, Palmer T, Lanktree M, North K, Almoguera B . Causal effects of body mass index on cardiometabolic traits and events: a Mendelian randomization analysis. Am J Hum Genet. 2014; 94(2):198-208. PMC: 3928659. DOI: 10.1016/j.ajhg.2013.12.014. View

2.
Hu D, Huang J, Wang Y, Zhang D, Qu Y . Fruits and vegetables consumption and risk of stroke: a meta-analysis of prospective cohort studies. Stroke. 2014; 45(6):1613-9. DOI: 10.1161/STROKEAHA.114.004836. View

3.
Huang T, Chen Y, Yang B, Yang J, Wahlqvist M, Li D . Meta-analysis of B vitamin supplementation on plasma homocysteine, cardiovascular and all-cause mortality. Clin Nutr. 2012; 31(4):448-54. DOI: 10.1016/j.clnu.2011.01.003. View

4.
Ezzati M, Riboli E . Behavioral and dietary risk factors for noncommunicable diseases. N Engl J Med. 2013; 369(10):954-64. DOI: 10.1056/NEJMra1203528. View

5.
Danaei G, Ding E, Mozaffarian D, Taylor B, Rehm J, Murray C . The preventable causes of death in the United States: comparative risk assessment of dietary, lifestyle, and metabolic risk factors. PLoS Med. 2009; 6(4):e1000058. PMC: 2667673. DOI: 10.1371/journal.pmed.1000058. View