Association of Dietary Pattern with Cardiovascular Risk Factors among Postmenopausal Women in Taiwan: A Cross-Sectional Study from 2001 to 2015.
Sabrina AlinéChien-Yeh HsuHsiu An LeeRathi ParamastriJane C-J ChaoPublished in: Nutrients (2022)
Unhealthy diet and inappropriate lifestyle contribute to an imbalance in cardiometabolic profiles among postmenopausal women. This research aimed to analyze the association between dietary pattern and changes in cardiovascular risk factors among postmenopausal Taiwanese women using binary logistic regression. This cross-sectional study involved 5689 postmenopausal Taiwanese women aged 45 years and above, and the data were obtained from Mei Jau Health Management Institution database between 2001 and 2015. The cardiovascular risk dietary pattern characterized by high intakes of processed food, rice/flour products, organ meat, and sauce was derived by reduced rank regression. Participants in the highest quartile of the cardiovascular risk dietary pattern were more likely to have high levels of systolic blood pressure (OR = 1.29, 95% CI 1.08-1.53), diastolic blood pressure (OR = 1.28, 95% CI 1.01-1.62), atherogenic index of plasma (OR = 1.26, 95% CI 1.06-1.49), triglycerides (OR = 1.38, 95% CI 1.17-1.62), and fasting blood glucose (Q3: OR = 1.45, 95% CI 1.07-1.97). However, this dietary pattern was not correlated with total cholesterol, low-density lipoprotein cholesterol, high-density lipoprotein cholesterol, and C-reactive protein. Therefore, adherence to the cardiovascular risk dietary pattern increases the risk of having higher levels of blood pressure, triglycerides, fasting blood glucose in postmenopausal Taiwanese women.
Keyphrases
- blood glucose
- blood pressure
- postmenopausal women
- bone mineral density
- cardiovascular risk factors
- glycemic control
- polycystic ovary syndrome
- hypertensive patients
- metabolic syndrome
- breast cancer risk
- physical activity
- cardiovascular disease
- heart rate
- healthcare
- weight loss
- public health
- heart failure
- insulin resistance
- mental health
- emergency department
- atrial fibrillation
- cervical cancer screening
- skeletal muscle
- climate change
- adipose tissue
- electronic health record
- big data
- deep learning