Journal of Epidemiology最新文献

Background: The lockdowns imposed by the government during coronavirus disease 2019 (COVID-19) pandemic have had a significant impact on the Italian population habits.

Methods: LOckdown and lifeSTyles in Italy and in Tuscany studies collected data on a representative sample of the Italian adult population in 2020 (n = 6,003) followed up through 2023 via four additional surveys (3,000 ≤ n ≤ 6,600) through an online self-administered questionnaire. The Alcohol Use Disorders Identification Test-Concise was used to identify at-risk drinkers. Considering the cohort of individuals who took part to the first and at least one other wave (n = 5,378), a multilevel logistic model was used to derive odds ratios (ORs) and corresponding 95% confidence intervals (CIs) of being at-risk drinkers.

Results: The prevalence of at-risk drinkers was 26.4% before, 23.4% during the first lockdown, and stabilized around 30.0% thereafter. Being at-risk alcohol consumers decreased with decreasing economic status (P for trend <0.001), was less frequent among middle-aged compared to younger (OR 0.73; 95% CI, 0.60-0.89) and among divorced/separated (OR 0.77; 95% CI, 0.60-0.99) or single (OR 0.75; 95% CI, 0.64-0.89) compared to married individuals. It was more frequent among individuals with anxiety or depressive symptoms (OR 1.24; 95% CI, 1.12-1.37), those using psychotropic drugs (OR 1.99; 95% CI, 1.69-2.35) and users of conventional and/or alternative nicotine products (OR 3.67; 95% CI, 3.00-4.48).

Conclusion: The long-term trends in alcohol consumption after the COVID-19 pandemic are unfavorable in Italy. The results point to an increased vulnerability for at-risk alcohol consumption among younger individuals, women with higher economic status, and married individuals. At-risk drinking is strongly related to mental health symptoms and nicotine consumption.

Introduction: This study aimed to determine the association between cumulative maternal physical activity level and their children's physical activity in early childhood. We also compared the influence of each maternal physical activity on children's physical activity in early childhood.

Methods: We analyzed the data from 1,067 Japanese mother-child pairs. Maternal physical activity was assessed using the International Physical Activity Questionnaire. Cumulative physical activity level in mothers was computed based on the categories (low, moderate, and high) of physical activity from five time points (pre-pregnancy, during pregnancy, 1.5, 3.5, and 5.5 years postpartum). Children's physical activity level was measured at age 5.5 years using the WHO Health Behaviour School-aged Children questionnaire and defined as engaging in physical activity for at least 60 minutes per day for more than 5 days. Logistic regression analysis was used to determine the association between maternal and children's physical activity levels.

Results: The results showed the positive association between cumulative maternal physical activity and children's physical activity level (P for trend < 0.001). Furthermore, maternal physical activity during pregnancy (P for trend = 0.031) and 5.5 years postpartum (P for trend < 0.001) was positively associated with children's physical activity.

Conclusion: A positive association was observed between the cumulative maternal physical activity level and the physical activity level of their children at 5.5 years of age. Furthermore, maternal physical activity during pregnancy and at 5.5 years postpartum were positively associated with the level of children's physical activity.

Background: The participation rate for screening is regarded as a useful indicator for preventing cancer and cardio-metabolic disease. However, the validity of self-reported screening participation has not yet been thoroughly evaluated in Japan. We aimed to examine its validity using the municipal screening records among the Japanese population.

Methods: We included 3,060 men and 3,860 women insured by the National Health Insurance for residents aged <75 years or the Medical Care System for the Elderly aged ≥75 years in the Chikusei area of the Japan Public Health Center-based Prospective Study for the Next Generation. They were asked about their participation in cancer screenings and health checkups during the previous year. We compared their responses to the municipal records and calculated the sensitivity and specificity of self-reported screening participation.

Results: The sensitivity and specificity of self-reported participation were 0.49 and 0.86 for lung cancer screening, 0.67 and 0.85 for colorectal cancer screening, 0.77 and 0.79 for stomach cancer screening, and 0.86 and 0.65 for health checkup, respectively. Among women, the sensitivity and specificity were 0.83 and 0.81 for breast cancer and 0.85 and 0.90 for cervical cancer, respectively.

Conclusion: Self-reported cancer screening participation for colorectal, stomach, breast, and cervical cancers had moderate-to-high sensitivity and specificity. Self-reported participation, especially for lung cancer screening and health checkups, should be carefully interpreted when assessing the performance of preventive measures.

Background: Dementia is the leading cause of disability and imposes a significant burden on society. Previous studies have suggested an association between metabolites and cognitive decline. Although the metabolite composition differs between Western and Asian populations, studies targeting Asian populations remain scarce.

Methods: This cross-sectional study used data from a cohort survey of community-dwelling older adults aged ≥60 years living in Miyagi, Japan, conducted by Tohoku Medical Megabank Organization between 2013 and 2016. Forty-three metabolite variables quantified using nuclear magnetic resonance spectroscopy were used as explanatory variables. Dependent variable was the presence of cognitive decline (≤23 points), assessed by the Mini-Mental State Examination. Principal component (PC) analysis was performed to reduce the dimensionality of metabolite variables, followed by logistic regression analysis to calculate odds ratios (ORs) and 95% confidence intervals (CIs) for cognitive decline.

Results: A total of 2,940 participants were included (men: 49.0%, mean age: 67.6 years). Among them, 1.9% showed cognitive decline. The first 12 PC components (PC1-PC12) accounted for 71.7% of the total variance. Multivariate analysis showed that PC1, which mainly represented essential amino acids, was associated with lower odds of cognitive decline (OR 0.89; 95% CI, 0.80-0.98). PC2, which mainly included ketone bodies, was associated with cognitive decline (OR 1.29; 95% CI, 1.11-1.51). PC3, which included amino acids, was associated with lower odds of cognitive decline (OR 0.81; 95% CI, 0.66-0.99).

Conclusion: Amino acids are protectively associated with cognitive decline, whereas ketone metabolites are associated with higher odds of cognitive decline.

Background: Individuals with type 2 diabetes mellitus (T2DM) have increased colorectal cancer (CRC) risk, but it is unknown whether income dynamics are associated with CRC risk in these individuals. We examined whether persistent low- or high-income and income changes are associated with CRC risk in non-elderly adults with T2DM.

Methods: Using nationally representative data from the Korean Health Insurance Service database, 1,909,492 adults aged 30 to 64 years with T2DM and no history of cancer were included between 2009 and 2012 (median follow-up of 7.8 years). We determined income levels based on health insurance premiums and assessed annual income quartiles for the baseline year and the four preceding years. Hazard ratios (HRs) and 95% confidence intervals (CIs) were estimated after adjusting for sociodemographic factors, CRC risk factors, and diabetes duration and treatment.

Results: Persistent low income (ie, lowest income quartile) was associated with increased CRC risk (HR_{5 years vs 0 years} 1.11; 95% CI, 1.04-1.18; P for trend = 0.004). Income declines (ie, a decrease ≥25% in income quantile) were also associated with increased CRC risk (HR_{≥2 vs 0 declines} 1.10; 95% CI, 1.05-1.16; P for trend = 0.001). In contrast, persistent high income (ie, highest income quartile) was associated with decreased CRC risk (HR_{5 years vs 0 years} 0.81; 95% CI, 0.73-0.89; P for trend < 0.0001), which was more pronounced for rectal cancer (HR 0.64; 95% CI, 0.53-0.78) and distal colon cancer (HR 0.70; 95% CI, 0.57-0.86).

Conclusion: Our findings underscore the need for increased public policy awareness of the association between income dynamics and CRC risk in adults with T2DM.

In observational studies, identifying and adjusting for a sufficient set of confounders is crucial for accurately estimating the causal effect of the exposure on the outcome. Even in studies with large sample sizes, which typically benefit from small variances in estimates, there is a risk of producing estimates that are precisely inaccurate if the study suffers from systematic errors or biases, including confounding bias. To date, several approaches have been developed for selecting confounders. In this article, we first summarize the epidemiological and statistical approaches to identifying a sufficient set of confounders. Particularly, we introduce the modified disjunctive cause criterion as one of the most useful approaches, which involves controlling for any pre-exposure covariate that affects the exposure, outcome, or both. It then excludes instrumental variables but includes proxies for the shared common cause of exposure and outcome. Statistical confounder selection is also useful when dealing with a large number of covariates, even in studies with small sample sizes. After introducing several approaches, we discuss some pitfalls and considerations in confounder selection, such as the adjustment for instrumental variables, intermediate variables, and baseline outcome variables. Lastly, as it is often difficult to comprehensively measure key confounders, we introduce two statistics, E-value and robustness value, for assessing sensitivity to unmeasured confounders. Illustrated examples are provided using the National Health and Nutritional Examination Survey Epidemiologic Follow-up Study. Integrating these principles and approaches will enhance our understanding of confounder selection and facilitate better reporting and interpretation of future epidemiological studies.

Background: We aimed to investigate the association between women's birth weight and their reproductive characteristics.

Methods: We used data from the Japan Public Health Center-based Prospective Study for the Next Generation (JPHC-NEXT), a population-based cohort in Japan. The main analysis included 40,796 women aged 40 to 68 years. Outcomes of interest were age at menarche, age at menopause, history of menstrual irregularity, and nulliparity. Associations between self-reported birth weight categories and outcomes were assessed using either a linear regression or a modified Poisson regression adjusted for potential confounders.

Results: Among participants with complete data, those with lower birth weights (<1,500 g and 1,500-2,499 g) compared to women with a birth weight of 3,000-3,999 g had a later age at menarche (adjusted mean difference [aMD]: 2.4 months and 2.0 months, respectively), earlier age at menopause (aMD: -6.7 months and -2.7 months, respectively), and therefore a shorter reproductive span (aMD: -7.7 months and -4.5 months, respectively). They also had a higher risk of menstrual irregularity (adjusted relative risk [aRR]: 1.19 and 1.11, respectively) and a higher likelihood of nulliparity (aRR: 1.25 and 1.19, respectively).

Conclusion: We observed that Japanese women's birth weight was significantly associated with reproductive characteristics. Specifically, those with a low birth weight had a shorter reproductive span and a higher risk of irregular menses and nulliparity compared to those with a normal birth weight.

Background: In high-income countries, socioeconomically disadvantaged adolescents experience a higher risk of obesity, which may have been further exacerbated during the early phase of the coronavirus disease 2019 (COVID-19) pandemic. This study aimed to investigate the association between obesity and familial financial insecurity, utilizing data on subjective household socioeconomic status (SES) and perceived family-level financial deterioration induced by COVID-19.

Methods: We utilized data from the Korea Youth Risk Behavior Survey, a nationally representative sample of Korean adolescents, in 2020 and 2021. The independent and joint associations of two primary exposures, subjective household SES and perceived family-level financial deterioration, with obesity were assessed using multivariable logistic regression models.

Results: Among 106,979 adolescents aged 12-18 years, 16.9% of boys and 9.0% of girls met the criteria for obesity. Notably, 70.5% reported experiencing COVID-19-related financial deterioration. Both subjective household SES and perceived family-level financial deterioration independently and synergistically increased the odds of obesity. A graded association was observed between obesity and lower SES and more severe financial deterioration, particularly among girls. Younger adolescents were more sensitive to household SES, whereas older adolescents were more sensitive to financial deterioration.

Conclusion: While the COVID-19 pandemic presented a unique social context, our findings highlight that financially insecure adolescents were at an increased risk of obesity during the early phase of the pandemic. This underscores the need for obesity-prevention strategies in times of macroeconomic recession to address not only the persistent influence of household SES but also the direct and indirect effects of family-level financial deterioration.