| Objective: To examine the association between ideal cardiovascular health metrics(ICHMs)and prevalence of cardiovascular disease(CVD).Methods: We used baseline data in the Tongji–Shenzhen cohort to assessed the association between ICHMs and CVD.The definition of ICHMs was based on the original criterion proposed by the American Heart Association in 2010.We adjusted BMI and diet criterion based on China‘s national condition.BMI was assigned 24 kg/m2 and 28 kg/m2 as the boundary,based on the Chinese standards of overweight and obesity.Diet was assessed by a comprehensive criterion,including the types of cooking oil,consumption of dark vegetables,dairy,and fish.Basic information was collected by questionnaire;height,weight,and blood pressure are measured by trained investigators;venous blood samples were taken by a trained nurse or doctor and were measured within 2 hours.Each individual factor of ICHMs and CVD prevalence were used in logistic regression.We used multi–state logistic regression model to examine not only the relationship between ICHMs(0 to 14 points),ideal cardiovascular health status(ICH,0 to 7)and CVD prevalence,but also the association between each additional points of ICHMs or each additional ICH and CVD prevalence.In addition,we also assessed the association between each additional point of ideal lifestyle behavior/biologic factor metrics or each additional ideal lifestyle behavior/biologic factor status and CVD prevalence.Results: 3 734 participants with complete data were available in this study,with an average age of 50.01 years old(SD: 12.37),including 1 575 males(42.2%)and 2 159 females(57.8%).There were no significant differences in the prevalence of self–reported CVD among genders(P = 0.302).47.7% of the participants had ideal BMI,74.% never smoked,11.1% had ideal level of diet,26.3% had ideal level of physical activity,79.5% had ideal level of fasting blood glucose,49.8% reached ideal level of total cholesterol,and 39.5% had ideal level of blood pressure.As for ICH,only 11 people reached all the factors,62 people reached none of the factors,and only 20.5% of the participants met 5 or more factors.As for ICHMs,11 persons scored 14,only one person scored 0,and 29.9% of the respondents scored 10 to 14.Women had better ICH and higher ICHMs than men(P < 0.001),and compared with the young and middle–aged participants(18 to 59 years old),the elderly participants(> 60 years old)had worse ICH and lower ICHMs(P < 0.001).With multivariate adjustment including age,gender,marital status,education,family history,and other factors,compared with participants with unideal BMI(BMI ≥ 24 kg/m2),those with ideal BMI(BMI < 24 kg/m2)was associated with a lower prevalence of CVD(OR = 0.71,95% CI: 0.52 – 0.96),and participants with an ideal diet(meeting 3 to 4 dietary criteria)had a lower prevalence of CVD(OR =0.56,95% CI: 0.34 – 0.94)than those with an unideal diet.After adjusting age,gender,marital status,education,and family history,with each additional ICH,the odds risk of CVD was lowered by 25%(OR = 0.75,95% CI: 0.66 – 0.85);each increase in ICHMs was associated with a 10% lower odds ratio of CVD(OR = 0.90,95% CI: 0.85 – 0.97);each additional ideal lifestyle behavior factor reduced 33% odds ratio of CVD(OR = 0.67,95% CI: 0.55 – 0.80);each additional point of ideal lifestyle behavior metrics reduced 16% odds ratio of CVD(OR = 0.84,95% CI: 0.76 – 0.93);the odds ratio of CVD was reduced by 20% for each additional ideal biologic factor(OR = 0.80,95% CI: 0.68 – 0.96).In subgroup analysis,there was no significant difference between men and women.Compared with young and middle–aged adults,each additional ICH in older adults was associated with a lower prevalence of CVD(young and middle–aged adults,OR = 0.74,95% CI: 0.62 – 0.90;older adults,OR = 0.69,95% CI: 0.58 – 0.81).Conclusions: Adjusted BMI and diet criterion were independent factors of CVD,and ideal BMI and diet are associated with lower prevalence of CVD.Each increase in ICHMs is associated with a lower odds risk of CVD. |
PDF Full Text Request