Residential mobility and liver cancer risk: findings from a prospective cohort study in Chinese women

BMC Public Health. 2024 Apr 29;24(1):1196. doi: 10.1186/s12889-024-18574-y.

Abstract

Background: Residential mobility is believed to influence the occurrence and development of cancer; however, the results are inconclusive. Furthermore, limited studies have been conducted on Asian populations. This study aimed to evaluate the relationship between residential mobility and liver cancer risk among Chinese women.

Methods: We enrolled 72,818 women from urban Shanghai between 1996 and 2000, and then followed them until the end of 2016. Cox regression models were used to calculate hazard ratios (HRs) and 95% confidence intervals (CIs) to assess the association between residential mobility and liver cancer risk. A linear trend test was conducted by ranking variables. A sensitivity analysis was also conducted, excluding participants with follow-up times of less than 2 years, to prevent potential bias.

Results: During the 1,269,765 person-years of follow-up, liver cancer was newly diagnosed in 259 patients. Domestic migration (HR = 1.47, 95% CI, 1.44-1.50), especially immigration to Shanghai (HR = 1.47, 95% CI, 1.44-1.50) was associated with an increased risk of liver cancer. In addition, migration frequency, age at initial migration and first immigration to Shanghai had linear trends with an increased liver cancer risk (Ptrend <0.001). The results were similar when excluding participants with less than two years of follow-up.

Conclusions: The possible association between residential mobility and a higher risk of liver cancer in women could suggest the need for effective interventions to reduce adverse environmental exposures and enhance people's health.

Keywords: Cohort study; Liver cancer; Migration; Residential mobility.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adult
  • Aged
  • China / epidemiology
  • East Asian People
  • Female
  • Humans
  • Liver Neoplasms* / epidemiology
  • Middle Aged
  • Population Dynamics
  • Proportional Hazards Models
  • Prospective Studies
  • Risk Factors