Combinations of lifestyle behaviors and cancer risk among Korean adults.
Ngoc Minh LuuThi Tra BuiThi Phuong Thao TranThi Huyen Trang NguyenJin Kyoung OhPublished in: Scientific reports (2023)
Combinations of lifestyle behaviors may lead to different cancer risks. This study aimed to identify the latent classes based on lifestyle behavior trajectories and to investigate the association between these latent classes and cancer risk. Participants in the 2002-2003 National Health Insurance Service general health examination were included. Data on smoking, alcohol drinking, body mass index (BMI), and physical activity measured four times between 2002 and 2009 were analyzed. Incident cancer cases were tracked from 2010 to 2018. Patterns of alcohol drinking, smoking, BMI, and physical activity and latent classes based on trajectories of smoking, alcohol drinking, BMI, and physical activity were identified. Among 2,735,110 adults (1,787,486 men and 947,624 women), 111,218 (69,089 men and 42,129 women) developed incident cancer. Six latent classes of lifestyle behavior were identified, with Class 1 (healthy class) involving only 0.2% of men and 0.5% of women. The highest risk class in males tended to be steady light drinkers and steady moderate smokers, have steady low frequency of physical activity, and be obese. This class showed a 1.47 times higher (95% CI = 1.29-1.69) risk of all cancers than did the healthy class. Among women, there was only an association between the highest risk class (tendency to be non-drinkers, light smokers) and colorectal cancer (HR = 1.70, 95% CI = 1.02-2.83). Only a small percentage of participants maintained a long-term healthy lifestyle. Identifying classes of behavior combinations and their links to cancer development is therefore critical for cancer prevention.
Keyphrases
- physical activity
- body mass index
- papillary thyroid
- metabolic syndrome
- cardiovascular disease
- weight loss
- squamous cell
- alcohol consumption
- health insurance
- smoking cessation
- mental health
- healthcare
- weight gain
- lymph node metastasis
- adipose tissue
- type diabetes
- polycystic ovary syndrome
- childhood cancer
- electronic health record
- sleep quality
- depressive symptoms
- social media