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- Ding, Lijie, et al.
(författare)
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Ideal cardiovascular health and risk of death in a large Swedish cohort
- 2024
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Ingår i: BMC Public Health. - 1471-2458. ; 24:1
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Tidskriftsartikel (refereegranskat)abstract
- Background Ideal cardiovascular health (CVH) can be assessed by 7 metrics: smoking, body mass index, physical activity, diet, hypertension, dyslipidemia and diabetes, proposed by the American Heart Association. We examined the association of ideal CVH metrics with risk of all-cause, CVD and non-CVD death in a large cohort. Methods A total of 29,557 participants in the Swedish National March Cohort were included in this study. We ascertained 3,799 deaths during a median follow-up of 19 years. Cox regression models were used to estimate hazard ratios with 95% confidence intervals (95% CIs) of the association between CVH metrics with risk of death. Laplace regression was used to estimate 25th, 50th and 75th percentiles of age at death. Results Compared with those having 6-7 ideal CVH metrics, participants with 0-2 ideal metrics had 107% (95% CI = 46-192%) excess risk of all-cause, 224% (95% CI = 72-509%) excess risk of CVD and 108% (31-231%) excess risk of non-CVD death. The median age at death among those with 6-7 vs. 0-2 ideal metrics was extended by 4.2 years for all-causes, 5.8 years for CVD and 2.9 years for non-CVD, respectively. The observed associations were stronger among females than males. Conclusions The strong inverse association between number of ideal CVH metrics and risk of death supports the application of the proposed seven metrics for individual risk assessment and general health promotion.
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| 2. |
- Ding, Lijie, et al.
(författare)
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Smoking, heavy drinking, physical inactivity, and obesity among middle-aged and older adults in China : cross-sectional findings from the baseline survey of CHARLS 2011-2012.
- 2020
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Ingår i: BMC Public Health. - : BioMed Central. - 1471-2458. ; 20:1
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Tidskriftsartikel (refereegranskat)abstract
- BACKGROUND: Prevention and control of cardiometabolic conditions and cardiovascular disease (CVD) in China may contribute to sustainable CVD reduction globally, given the fact that one-fifth of the worldwide population is in China. Knowing the distribution of behavioral risk factors (e.g., smoking and physical inactivity), especially at a national level in China, would be extremely relevant to the field of public health and CVD prevention. The objectives of this study were to investigate the nationwide prevalence of obesity, smoking, heavy drinking, and physical inactivity in Chinese adults, and further explore whether cardiometabolic conditions would modify the distribution of behavioral risk factors.METHODS: This population-based study is based on the China Health and Retirement Longitudinal Study (2011-2012), including 17,302 adults (≥45 years, mean age 59.67 years, female 51.66%) from 25 provinces in China. Data on demographics, lifestyle factors, health status and history of diseases were collected via structured interviews and laboratory tests. Smoking, heavy drinking, obesity, and physical inactivity were defined following standard guidelines. We performed descriptive analysis and logistic regressions in this study.RESULTS: The overall prevalence of heavy drinking, obesity, current smoking, and physical inactivity among middle-aged and older adults was 7.23% (95% confidence interval 6.53-7.29%), 11.53% (10.43-12.62%), 27.46% (26.30-28.62%), and 44.06% (41.19-46.92%), respectively. The prevalence varied between rural and urban areas as well as among geographic areas, with higher prevalence in the Northern and Northeastern regions. Heavy drinking and obesity were significantly associated with incident hypertension, diabetes, and high cholesterol; while current smoking was significantly associated with incident hypertension. Compared with healthy individuals, participants who self-reported a diagnosis of hypertension, high cholesterol, or diabetes were less likely to smoke currently and drink alcohol heavily, but more likely to be physically inactive and obese.CONCLUSIONS: Among Chinese middle-aged and older adults, the prevalence of behavioral risk factors varies by geographic region. Further effort is required to improve physical activity and fitness for Chinese adults, especially those with cardiometabolic conditions.
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| 3. |
- Ji, Jiadong, et al.
(författare)
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Detection for pathway effect contributing to disease in systems epidemiology with a case-control design
- 2015
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Ingår i: BMJ Open. - : BMJ. - 2044-6055. ; 5:1, s. e006721-
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Tidskriftsartikel (refereegranskat)abstract
- Objectives: Identification of pathway effects responsible for specific diseases has been one of the essential tasks in systems epidemiology. Despite some advance in procedures for distinguishing specific pathway (or network) topology between different disease status, statistical inference at a population level remains unsolved and further development is still needed. To identify the specific pathways contributing to diseases, we attempt to develop powerful statistics which can capture the complex relationship among risk factors. Setting and participants: Acute myeloid leukaemia (AML) data obtained from 133 adults (98 patients and 35 controls; 47% female). Results: Simulation studies indicated that the proposed Pathway Effect Measures (PEM) were stable; bootstrap-based methods outperformed the others, with bias-corrected bootstrap CI method having the highest power. Application to real data of AML successfully identified the specific pathway (Treg -> TGF beta -> Th17) effect contributing to AML with p values less than 0.05 under various methods and the bias-corrected bootstrap CI (-0.214 to -0.020). It demonstrated that Th17-Treg correlation balance was impaired in patients with AML, suggesting that Th17-Treg imbalance potentially plays a role in the pathogenesis of AML. Conclusions: The proposed bootstrap-based PEM are valid and powerful for detecting the specific pathway effect contributing to disease, thus potentially providing new insight into the underlying mechanisms and ways to study the disease effects of specific pathways more comprehensively.
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| 4. |
- Wang, Shaoying, et al.
(författare)
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Characterizing lipid profiles associated with asymptomatic intracranial arterial stenosis in rural-dwelling adults : A population-based study
- 2020
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Ingår i: Journal of Clinical Lipidology. - : Elsevier BV. - 1933-2874 .- 1876-4789. ; 14:3, s. 371-380
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Tidskriftsartikel (refereegranskat)abstract
- BACKGROUND: Although individual lipid parameters have been frequently examined in association with asymptomatic intracranial arterial stenosis (aICAS), few population-based studies have investigated the lipid profiles associated with aICAS among Chinese adults. OBJECTIVE: This study aims to characterize the lipid profiles associated with aICAS in rural-dwelling adults in China. METHODS: This population-based study included 2027 persons who were aged >= 40 years and free of stroke. Data were collected via interviews, clinical examinations, and laboratory testing. We diagnosed aICAS by integrating transcranial color Doppler with magnetic resonance angiography. Data were analyzed using binary and multinomial logistic regression models. RESULTS: Of the 2027 participants, 154 were detected with aICAS. The multiadjusted odds ratio (95% confidence interval) of aICAS was 1.41 (0.997-2.00) for high small dense low-density lipoprotein cholesterol, 1.44 (1.02-2.04) for high lipoprotein(a), 1.71 (1.21-2.44) for low apolipoprotein A-1, 1.43 (1.00-2.04) for low high-density lipoprotein cholesterol (HDL-C), 1.61 (1.14-2.27) for high apolipoprotein B/apolipoprotein A-1 ratio, 1.95 (1.38-2.76) for high low-density lipoprotein cholesterol/HDL-C ratio, and 1.51 (1.06-2.14) for high total cholesterol/HDL-C ratio. When severity of aICAS was analyzed, high levels of lipoprotein(a), small dense low-density lipoprotein cholesterol, and lipid ratios were significantly associated with an increased likelihood of moderate-to-severe aICAS (P < .05). An increasing number of abnormal lipid measurements was associated with an increased likelihood of aICAS (P for trend <.001). CONCLUSION: These findings suggest that lipid profiles for aICAS among rural residents in China are characterized by high atherogenic cholesterol, low antiatherogenic cholesterol, and high ratios of atherogenic-to-antiatherogenic cholesterol or lipoproteins.
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