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Background: Studies found a J-shaped association between body mass index (BMI) and mortality. However, it is unclear whether the association is driven by biases, particularly confounding by fat-free mass., Methods: We conducted an individual-level pooled analysis of three cohorts of Korean adults (aged ≥ 40 years; n = 153 248). Mortality was followed up through December 2019. Anthropometric data were directly measured at baseline. Fat and fat-free mass were predicted using validated prediction models. Using Cox proportional hazards models, we estimated the associations of BMI and waist circumference (WC) with all-cause and cause-specific mortality. To account for biases, we excluded participants aged ≥ 70 years, deaths that occurred within 5 years of follow-up and ever smokers, and adjusted for fat-free mass index (FFMI)., Results: During the follow-up of up to 18 years, 6061 deaths were identified. We observed J-shaped association of BMI (nadir at 22-26) and monotonically positive association of WC with all-cause, cardiovascular, and cancer mortality among Korean adults without a history of cancer or cardiovascular disease. In the BMI analysis, excluding ever smokers and adjusting for FFMI attenuated the excess mortality in underweight participants and transformed the J-shaped association into a monotonically positive shape, suggesting an increased mortality at BMI > 22.0. Excluding participants aged ≥ 70 years and deaths that occurred within 5 years of follow-up did not change the results. In the WC analysis, the monotonic positive associations did not change after the control. Similar results were observed among participants with a history of cancer or cardiovascular disease., Conclusions: Our data suggest that both overall and abdominal body fat are associated with increased mortality in Korean adults., (© The Author(s) 2023; all rights reserved. Published by Oxford University Press on behalf of the International Epidemiological Association.)

The relationship between body mass index (BMI) and body fatness could differ according to age, sex, and race-ethnicity. We aimed to evaluate in which contexts BMI could be a good measure for body fatness compared to dual-energy X-ray absorptiometry (DXA) derived measures. The study population included 18,061 participants (9141 men and 8920 women) aged 18 and older who tested DXA from the National Health and Nutrition Examination Survey (NHANES) database from 1999 to 2006, and 8107 men and 10,754 women with DXA data from Korea NHANES from 2008 to 2011 to represent the Asian population. We calculated Pearson correlation coefficients between BMI and DXA derived fat mass index (FMI) and percentage body fat (PBF) depending on age, sex, and race-ethnicity. The correlation between BMI, FMI and PBF and obesity-related biomarkers was also estimated among the subgroup with both DXA and information on each biomarker. BMI was strongly correlated with FMI (r = 0.944 in men and 0.976 in women), PBF (r = 0.735 in men and 0.799 in women), and truncal fat mass (r = 0.914 in men and 0.941 in women) with correlations stronger in women than in men except for with waist-height ratio (r = 0.921 in men and 0.911 in women). The correlation between BMI and DXA derived adiposity weakened with age in both sexes. BMI was less correlated with FMI (r = 0.840 in men and 0.912 in women), PBF (r = 0.645 in men and 0.681 in women), and truncal fat mass (r = 0.836 in men and 0.884 in women) in Korean compared to other race-ethnicities. Among obesity-related biomarkers, insulin was the most strongly correlated to body adiposity indices in both sexes and strength of these correlations generally decreased with age. BMI predicted obesity-related biomarkers as well as FMI and truncal fat mass and superior to PBF. BMI could be a good measure for body fatness, particularly among young age groups, women, the US population, but less so in Korean populations. The lower correlation between BMI and body fatness in older compared to younger age groups could be related to increasing PBF and decreasing lean body mass., (© 2023. The Author(s).)

Background and Aims: Plant-based diets have been suggested to have health benefits, and risk differs by quality of plant foods. However, evidence on the association between the quality of plant-based diets and mortality are limited. This study examined the associations between 3 different types of plant-based diet indices and risk of total and disease-specific mortality., Methods: Analyses were based on a population-based cohort of 118,577 South Korean adults (40-69 years of age) who participated in the Korean Genome and Epidemiology Study&#95;Health Examinees (2004-2019). Dietary intakes were assessed using a validated food frequency questionnaire. Based on the questionnaire, we calculated 3 plant-based diet indices: overall plant-based diet index (PDI), healthful plant-based diet index (hPDI), and unhealthful plant-based diet index (uPDI). The PDI assigned higher scores for higher consumption of all plant foods. The hPDI assigned higher scores for higher consumption of only healthy plant foods. The uPDI assigned higher scores for higher consumption of only unhealthy plant foods., Results: During a total of 1,191,426 person-years of follow-up, we ascertained 3074 deaths, including 447 deaths from cardiovascular disease and 1515 deaths from cancer. Comparing the highest versus lowest quintiles of PDI, the multivariable-adjusted hazard ratios of total mortality were 0.76 (95% CI, 0.68-0.85, P-trend<0.0001). Comparing the highest versus lowest quintile of uPDI, the hazard ratios were 1.30 for total mortality (95% CI, 1.15-1.48, P-trend<0.0001), 1.55 for cardiovascular disease mortality (95% CI, 1.08-2.25, P-trend = 0.06), and 1.23 for cancer mortality (95% CI, 1.02-1.47, P-trend = 0.06) after adjustment for demographic characteristics and lifestyle factors. For 10-point higher in PDI score was associated with 13% (95% CI, 0.82-0.92, P < 0.0001) lower risk of total mortality. In contrast, 10-point higher in uPDI score was associated with 16% (95% CI, 1.06-1.17, P < 0.0001) higher risk of total mortality with modest association with cancer mortality. No association was observed between hPDI and any cause of mortality. The correlation coefficients were 0.39 between PDI and hPDI, -0.22 between hPDI and uPDI, and 0.07 between PDI and uPDI., Conclusions: Overall, greater adherence to a plant-based dietary pattern was associated with lower total mortality, but among those with predominantly unhealthful plant-based diets, total and disease-specific mortality rates were higher. The quality of plant foods may be crucial for reducing mortality in a population that mainly consume diets rich in plant foods., Competing Interests: Conflict of interest None of the authors had any personal or financial conflicts of interest., (Copyright © 2021 Elsevier Ltd and European Society for Clinical Nutrition and Metabolism. All rights reserved.)

Background and Aims: Plant-based diets have been suggested to have beneficial effects on various health outcomes. However, the evidence on the association of plant-based diet quality with health outcomes is very limited in Asian populations, who may have a different dietary pattern than western populations. This study explored the prospective association between different types of plant-based diets and risk of hypertension using recently established indices in South Koreans., Methods: Analyses were based on a community-based cohort of 5636 men and women (40-69 years of age at baseline, mean ± SD 50.6 ± 8.5 years) living in Ansan and Ansung, South Korea (2001-2016) without hypertension and related chronic diseases at baseline. Registration card and telephone registration number were used for the sampling. Dietary intakes were assessed using a validated food frequency questionnaire. Based on the questionnaire, scores of three plant-based diet indices [overall plant-based diet index (PDI), healthful plant-based diet index (hPDI), and unhealthful plant-based diet index (uPDI)] were calculated., Results: Over a follow-up of 14 years, 2244 participants developed hypertension. Individuals in the highest vs. lowest quintile of hPDI had 35% lower incidence of hypertension [hazard ratio (HR) 0.65, 95% CI 0.57, 0.75] and uPDI had 44% higher incidence of hypertension (HR 1.44, 95% CI 1.24, 1.67), adjusting for demographic characteristics, and lifestyle factors (P trend ≤ 0.0001 for both indices). A similar inverse association of hPDI was observed with risk of hypertension by age, sex, residence area, and obesity. The PDI was not associated with hypertension., Conclusions: Our results highlight the importance of considering the quality of plant foods (relatively higher healthy plant foods and relatively lower less healthy plant foods consumption) for the prevention of hypertension in a population with a long-term adherence to predominantly plant-based diets., (© 2021. Springer-Verlag GmbH Germany, part of Springer Nature.)

Background: The effect of smoking and sex on the relationship between alcohol consumption and risk of developing metabolic syndrome (MetS) and its components has not been investigated., Methods: A total of 5,629 Korean adults aged 40-69 years without MetS were recruited at baseline. Alcohol consumption was assessed biennially, and participants were classified as never, light, moderate, or heavy drinkers. Smoking status was examined at baseline and categorized into non-smokers and current smokers. Risk of incident MetS and its components according to alcohol consumption was examined by smoking status and sex using a multivariate Cox proportional hazards model., Results: During a follow-up of 12 years, 2,336 participants (41.5%) developed MetS. In non-smokers, light or moderate alcohol drinkers had a lower risk of developing MetS, abdominal obesity, hyperglycemia, hypertriglyceridemia, and low HDL-C compared with never drinkers. Heavy alcohol consumption was associated with a higher risk of incident elevated blood pressure (hazard ratio [HR] 1.48; 95% confidence interval [CI], 1.07-2.06; P = 0.020) in men and abdominal obesity (HR 1.86; 95% CI, 1.06-3.27; P = 0.030) in women. However, in smokers, the inverse association of light or moderate alcohol consumption with hypertriglyceridemia and abdominal obesity was not present, whereas a positive association between heavy alcohol consumption and hyperglycemia (HR 1.39; 95% CI, 1.07-1.80; P = 0.014) was observed., Conclusions: Smoking status and sex strongly affects the association between long-term alcohol consumption and MetS and its components by the amount of alcohol consumed.

Background: Whether type 2 diabetes is cause or consequence, or both, of pancreatic cancer (PaC) remains unresolved. Leveraging repeated measurements of fasting blood glucose (FBG), we examined the temporal relationship between hyperglycemia and PaC incidence., Methods: We conducted a nested case-control study of 278 cases and 826 matched-controls from the Korean National Health Insurance Service-Health Screening Cohort. Over 11 years before index date (date of PaC diagnosis for cases), all participants had at least one FBG measurement in each of the three time windows: - 11 to - 8, - 7 to - 4, and - 3 to 0 years. Using conditional logistic regression, we estimated odds ratios(ORs) of PaC and 95% confidence intervals (CIs) for hyperglycemia in the overall period and at each interval; for major long-term patterns of FBG across the three intervals (recent-onset, medium-term, and long-standing hyperglycemia)., Results: Higher FBG over the past 11 years was associated with an increased odds of PaC (p trend  < .0001), with recent FBG more predictive of PaC than distant FBG. By FBG assessed in the - 3 to 0 interval, OR was 1.97 (95% CI 1.32-2.93) for 110-125 mg/dL and 3.17 (95% CI 2.09-4.80) for ≥ 126 mg/dL. By long-term patterns of FBG, compared to consistent normoglycemia, OR was 2.02 (95% CI 1.24-3.31) for long-standing hyperglycemia and 3.38 (95% CI 1.87-6.13) for recent-onset hyperglycemia. These associations were more pronounced among never-smokers than ever-smokers (p interaction  = .06)., Conclusion: Recent-onset hyperglycemia may be an early manifestation of undetected PaC, while long-lasting hyperglycemia may serve as a moderate etiologic factor for PaC.