OBJECTIVESTo investigate the screening rates for gastric, breast, and cervical cancer in people with diabetes compared with people without diabetes.METHODSData from the Korea National Health and Nutrition Examination Survey (2007-2009) were used. Cancer-free men who were 40 years old and over and cancer-free women who were 30 years old and over were included. The lifetime screening rate and regular screening rate were compared in people with and without diabetes.RESULTSFewer people with diabetes than people without diabetes had ever received cancer screening (53.5 vs. 59.5%, p<0.001 for gastric cancer; 60.5 vs. 71.5%, p<0.001 for breast cancer; and 49.1 vs. 59.6%, p<0.001 for cervical cancer). Fewer people with diabetes than people without diabetes received the recommended screenings for gastric cancer (38.9 vs. 42.9%, p<0.001), breast cancer (38.8 vs. 44.6%, p<0.001), and cervical cancer (35.1 vs. 51.2%, p<0.001). In subgroup analyses according to socioeconomic factors, the lifetime and recommended screening rates were lower in the diabetic population in most socioeconomic subgroups. In the multivariate analysis adjusted for socioeconomic factors, people with diabetes showed lower lifetime screening rates for gastric and cervical cancer (odds ratio [OR], 0.8; 95% confidence interval [CI], 0.7 to 0.9 and OR, 0.7; 95% CI, 0.6 to 0.9), and lower regular screening rates for breast and cervical cancer (OR, 0.7; 95% CI, 0.6 to 0.9 and OR, 0.7; 95% CI, 0.5 to 0.9).CONCLUSIONSThe cancer screening rate in people with diabetes was lower than in people without diabetes. Considering the higher cancer risk in people with diabetes, efforts to increase the screening rate in this high-risk population should be implemented.

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PurposeThis study evaluated the association between night-shift work (NSW) and breast cancer risk as well as subtypes of breast cancer in Korean women.Patients and methodsThe study population included 1721 female breast cancer cases and 1721 female controls matched by age. The subtypes of breast cancer were determined based on estrogen, progesterone, and human epidermal growth factor receptor 2 statuses by reviewing pathology reports. Odds ratios (ORs) for NSW experience, age at commencement of NSW, frequency, and duration were estimated using conditional logistic regression and were adjusted for confounders such as parity and socioeconomic status–related factors.ResultsAmong 1721 pairs, 10.58% of cases and 9.59% of controls had ever engaged in NSW. NSW was not associated with breast cancer risk in terms of ever having night-shift exposure (adjusted OR was 1.11, 95% confidence interval [CI] =0.89–1.40), duration, frequency, or cumulative working time. The OR for >10 years of lifetime duration of NSW was 1.55 (95% CI 0.89–2.69, P=0.124). In addition, the OR for >35,000 hrs for cumulative frequency of night work was OR=1.42 (95% CI=0.73–2.74, P=0.304). There was no heterogeneity in ORs of ever having NSW and cumulative duration of NSW between four subtypes of breast cancer.ConclusionNSW including long-term and heavy working exposure was not associated with breast cancer risk.

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ObjectiveArea-level socioeconomic status (SES) is associated with coronavirus disease 2019 (COVID-19) incidence. However, the underlying mechanism of the association is context-specific, and the choice of measure is still important. We aimed to evaluate the socioeconomic gradient regarding COVID-19 incidence in Korea based on several area-level SES measures.MethodsCOVID-19 incidence and area-level SES measures across 229 Korean municipalities were derived from various administrative regional data collected between 2015 and 2020. The Bayesian negative binomial model with a spatial autocorrelation term was used to estimate the incidence rate ratio (IRR) and relative index of inequality (RII) of each SES factor, with adjustment for covariates. The magnitude of association was compared between two epidemic phases: a low phase (&lt;100 daily cases, from May 6 to August 14, 2020) and a rebound phase (&gt;100 daily cases, from August 15 to December 31, 2020).ResultsArea-level socioeconomic inequalities in COVID-19 incidence between the most disadvantaged region and the least disadvantaged region were observed for nonemployment rates [RII = 1.40, 95% credible interval (Crl) = 1.01–1.95] and basic livelihood security recipients (RII = 2.66, 95% Crl = 1.12–5.97), but were not observed for other measures in the low phase. However, the magnitude of the inequalities of these SES variables diminished in the rebound phase. A higher area-level mobility showed a higher risk of COVID-19 incidence in both the low (IRR = 1.67, 95% Crl = 1.26–2.17) and rebound phases (IRR = 1.28, 95% Crl = 1.14–1.44). When SES and mobility measures were simultaneously adjusted, the association of SES with COVID-19 incidence remained significant but only in the low phase, indicating they were mutually independent in the low phase.ConclusionThe level of basic livelihood benefit recipients and nonemployment rate showed social stratification of COVID-19 incidence in Korea. Explanation of area-level inequalities in COVID-19 incidence may not be derived only from mobility differences in Korea but, instead, from the country's own context.