Self-rated health, mental wellbeing, nutrition habits, and their association with morbidity of ischemic heart disease.

Good self-rated health and mental wellbeing status were associated with lower odds of ischemic heart disease after adjusting for main covariates.

• OR = 0.692, 95% CI: 0.22-0.93, p = 0.013
• Covariates adjusted for included sex, age, education, marital status, metabolic syndrome, and its components
• Binary logistic regression analysis was used to investigate associations
• Study was conducted during 2023-2024 in Kaunas city, Lithuania, with 3,426 individuals screened

Regular physical activity was positively associated with better self-rated health and mental wellbeing.

• OR = 1.661, 95% CI: 1.35-2.04, p < 0.001
• This association was identified using binary logistic regression analysis
• The study sample was a random sample of Kaunas inhabitants aged 25-69 years, stratified by sex and age

Sufficient sleep was positively associated with better self-rated health and mental wellbeing.

• OR = 1.115, 95% CI: 1.03-1.21, p = 0.006
• Sleep was identified as a modifiable lifestyle determinant affecting cardiovascular risk and self-rated health
• Association was determined via binary logistic regression analysis

Healthy nutrition habits rich in fruits, vegetables, and fish were positively associated with better self-rated health and mental wellbeing.

• OR = 1.463, 95% CI: 1.24-1.73, p < 0.001
• An exploratory factor analysis with orthogonal varimax rotation was conducted to examine the factor structure of food intake data
• This dietary pattern was derived from the factor analysis of food intake data

More frequent consumption of meat products and potatoes reduced the odds of good self-rated health and mental wellbeing.

• OR = 0.831, 95% CI: 0.70-0.99, p = 0.04
• This dietary pattern was identified through exploratory factor analysis with orthogonal varimax rotation of food intake data
• The finding contrasts with the positive association seen for the fruits, vegetables, and fish dietary pattern

The study was an epidemiological health survey following the methodology of the WHO MONICA study conducted in Kaunas city, Lithuania.

• Survey was performed during 2023-2024 as part of the study 'Chronic diseases and their risk factors in the adult population'
• A random sample of Kaunas inhabitants aged 25-69 years was stratified by sex and age and randomly selected from the Lithuanian population register
• 3,426 individuals were screened
• Binary logistic regression and exploratory factor analysis with orthogonal varimax rotation were the primary analytical methods