Correlation of Income Instability With 12 Non-Communicable Disease Risks in Korea: A Prospective Cohort Study
Jaehyeong Cho1,2, Yejun Son1,3, Soeun Kim1,3
1Center for Digital Health, Medical Science Research Institute, Kyung Hee University College of Medicine, Seoul, Korea.
Background:
Due to the lack of comprehensive longitudinal studies examining the impact of long-term volatility on health issues, existing research primarily focused on income levels rather than fluctuation. Thus, we aimed to investigate the relationship between income instability and a range of physical health conditions using an extensive longitudinal dataset.
Methods:
This study utilized data from the Korean Genome and Epidemiology Study (KoGES) Ansan-Anseong cohort (2001-2022), which includes valuable confounding factors such as demographic, socioeconomic, lifestyle, and clinical factors. Income volatility was calculated as the intra-individual standard deviation of income changes across study waves. A Cox proportional hazards model was employed to assess correlations between income volatility and the risk of 12 non-communicable diseases (NCDs; hypertension, myocardial infarction [MI], coronary artery disease [CAD], cerebrovascular disease, diabetes, hyperlipidemia, gout, gastric disease, renal disease, arthritis, allergic disease, and asthma).
Results:
A total of 9,185 participants (mean age, 52.21; male, 47.59%) were analyzed. In the fully adjusted model, medium volatility was correlated with a higher disease risk (hazard ratio, 1.14; 95% confidence interval, 1.07-1.21), as similar to high volatility (1.09; 1.03-1.16). The highest risk was observed in individuals experiencing income decreases (1.61; 1.13-2.28). All health conditions examined in this study showed an increased risk correlated with higher income volatility as follows: hypertension (1.13; 1.03-1.25); MI (2.15; 1.33-3.48); CAD (1.37; 1.04-3.48); cerebrovascular disease (1.69; 1.21-2.37); hyperlipidemia (1.14; 1.01-1.28); gout (2.11; 1.12-3.95); gastric disease (1.15; 1.01-1.32); renal disease (2.28; 1.22-4.25); arthritis (1.33; 1.04-1.70); allergic disease (1.54; 1.16-2.03); asthma (1.67; 1.04-1.67).
Conclusion:
Income volatility, particularly income decreases and fluctuations, is significantly correlated with higher risk of chronic NCDs in South Korea. These findings underscore the need to develop interventions to mitigate financial instability, thereby improving public health outcomes.
More Related Videos
Related Concept Videos
Factors Affecting Illness
For instance, risk factors are connected to illness,...
Bias in Epidemiological Studies
Relative Risk
Causality in Epidemiology
Prevalence and Incidence
Prevalence indicates the proportion of individuals in a population who have a specific disease or health...
Factors Affecting the Risk of Infection
The integrity and count of the white blood cells help the body resist pathogens and fight infection. When impaired, it reduces the body's resistance to pathogens. The acidic pH levels of the gastrointestinal, genitourinary tracts, and skin...


