OBJECTIVES: This study investigated conventional cardiovascular and lifestyle risk factors affecting mortality from chronic kidney disease as the underlying cause in the general Japanese population. METHODS: We conducted an 18.8-year follow-up study of 44,792 men and 61,522 women aged 40-79 from the Japan Collaborative Cohort Study for Evaluation of Cancer Risk between 1986 and 1990. Cox proportional hazard models were used to analyze the association between risk factors and mortality from chronic kidney disease. RESULTS: During the follow-up period, 373 participants (185 men and 188 women) died from chronic kidney disease. A body mass index of ≥27.0 kg/m2 (hazard ratio [HR], 2.00; 95% confidence interval [CI], 1.19 to 3.36 for men and HR, 1.91; 95% CI, 1.19 to 3.07 for women, compared with 23.0-24.9 kg/m2), a history of hypertension (HR, 2.32; 95% CI, 1.67 to 3.22 for men and HR, 2.01; 95% CI, 1.44 to 2.81 for women) and a history of diabetes mellitus (HR, 5.21; 95% CI, 3.68 to 7.37 for men and HR, 7.10; 95% CI, 4.93 to 10.24 for women) were associated with an increased risk of mortality from chronic kidney disease in both genders. In men, smoking was also associated with an increased risk (HR, 1.91; 95% CI, 1.25 to 2.90), while current drinking (HR, 0.58; 95% CI, 0.34 to 0.98 for <23 g/day; HR, 0.48; 95% CI, 0.29 to 0.80 for 23-45 g/day and HR, 0.53; 95% CI, 0.32 to 0.86 for ≥46 g/day) and exercising ≥5 hr/wk (HR, 0.42; 95% CI, 0.18 to 0.96) were associated with a lower risk. Similar but non-significant associations for smoking and drinking were observed in women. CONCLUSIONS In addition to a history of hypertension and a history of diabetes mellitus, body mass index, smoking status, drinking status, and exercise habits were associated with the risk of mortality from chronic kidney disease.

OBJECTIVES: This study investigated conventional cardiovascular and lifestyle risk factors affecting mortality from chronic kidney disease as the underlying cause in the general Japanese population. METHODS: We conducted an 18.8-year follow-up study of 44,792 men and 61,522 women aged 40-79 from the Japan Collaborative Cohort Study for Evaluation of Cancer Risk between 1986 and 1990. Cox proportional hazard models were used to analyze the association between risk factors and mortality from chronic kidney disease. RESULTS: During the follow-up period, 373 participants (185 men and 188 women) died from chronic kidney disease. A body mass index of ≥27.0 kg/m2 (hazard ratio [HR], 2.00; 95% confidence interval [CI], 1.19 to 3.36 for men and HR, 1.91; 95% CI, 1.19 to 3.07 for women, compared with 23.0-24.9 kg/m2), a history of hypertension (HR, 2.32; 95% CI, 1.67 to 3.22 for men and HR, 2.01; 95% CI, 1.44 to 2.81 for women) and a history of diabetes mellitus (HR, 5.21; 95% CI, 3.68 to 7.37 for men and HR, 7.10; 95% CI, 4.93 to 10.24 for women) were associated with an increased risk of mortality from chronic kidney disease in both genders. In men, smoking was also associated with an increased risk (HR, 1.91; 95% CI, 1.25 to 2.90), while current drinking (HR, 0.58; 95% CI, 0.34 to 0.98 for <23 g/day; HR, 0.48; 95% CI, 0.29 to 0.80 for 23-45 g/day and HR, 0.53; 95% CI, 0.32 to 0.86 for ≥46 g/day) and exercising ≥5 hr/wk (HR, 0.42; 95% CI, 0.18 to 0.96) were associated with a lower risk. Similar but non-significant associations for smoking and drinking were observed in women. CONCLUSIONS In addition to a history of hypertension and a history of diabetes mellitus, body mass index, smoking status, drinking status, and exercise habits were associated with the risk of mortality from chronic kidney disease.

OBJECTIVES: This study investigated conventional cardiovascular and lifestyle risk factors affecting mortality from chronic kidney disease as the underlying cause in the general Japanese population. METHODS: We conducted an 18.8-year follow-up study of 44,792 men and 61,522 women aged 40-79 from the Japan Collaborative Cohort Study for Evaluation of Cancer Risk between 1986 and 1990. Cox proportional hazard models were used to analyze the association between risk factors and mortality from chronic kidney disease. RESULTS: During the follow-up period, 373 participants (185 men and 188 women) died from chronic kidney disease. A body mass index of ≥27.0 kg/m2 (hazard ratio [HR], 2.00; 95% confidence interval [CI], 1.19 to 3.36 for men and HR, 1.91; 95% CI, 1.19 to 3.07 for women, compared with 23.0-24.9 kg/m2), a history of hypertension (HR, 2.32; 95% CI, 1.67 to 3.22 for men and HR, 2.01; 95% CI, 1.44 to 2.81 for women) and a history of diabetes mellitus (HR, 5.21; 95% CI, 3.68 to 7.37 for men and HR, 7.10; 95% CI, 4.93 to 10.24 for women) were associated with an increased risk of mortality from chronic kidney disease in both genders. In men, smoking was also associated with an increased risk (HR, 1.91; 95% CI, 1.25 to 2.90), while current drinking (HR, 0.58; 95% CI, 0.34 to 0.98 for <23 g/day; HR, 0.48; 95% CI, 0.29 to 0.80 for 23-45 g/day and HR, 0.53; 95% CI, 0.32 to 0.86 for ≥46 g/day) and exercising ≥5 hr/wk (HR, 0.42; 95% CI, 0.18 to 0.96) were associated with a lower risk. Similar but non-significant associations for smoking and drinking were observed in women. CONCLUSIONS In addition to a history of hypertension and a history of diabetes mellitus, body mass index, smoking status, drinking status, and exercise habits were associated with the risk of mortality from chronic kidney disease.

OBJECTIVES: This study investigated conventional cardiovascular and lifestyle risk factors affecting mortality from chronic kidney disease as the underlying cause in the general Japanese population. METHODS: We conducted an 18.8-year follow-up study of 44,792 men and 61,522 women aged 40-79 from the Japan Collaborative Cohort Study for Evaluation of Cancer Risk between 1986 and 1990. Cox proportional hazard models were used to analyze the association between risk factors and mortality from chronic kidney disease. RESULTS: During the follow-up period, 373 participants (185 men and 188 women) died from chronic kidney disease. A body mass index of ≥27.0 kg/m2 (hazard ratio [HR], 2.00; 95% confidence interval [CI], 1.19 to 3.36 for men and HR, 1.91; 95% CI, 1.19 to 3.07 for women, compared with 23.0-24.9 kg/m2), a history of hypertension (HR, 2.32; 95% CI, 1.67 to 3.22 for men and HR, 2.01; 95% CI, 1.44 to 2.81 for women) and a history of diabetes mellitus (HR, 5.21; 95% CI, 3.68 to 7.37 for men and HR, 7.10; 95% CI, 4.93 to 10.24 for women) were associated with an increased risk of mortality from chronic kidney disease in both genders. In men, smoking was also associated with an increased risk (HR, 1.91; 95% CI, 1.25 to 2.90), while current drinking (HR, 0.58; 95% CI, 0.34 to 0.98 for <23 g/day; HR, 0.48; 95% CI, 0.29 to 0.80 for 23-45 g/day and HR, 0.53; 95% CI, 0.32 to 0.86 for ≥46 g/day) and exercising ≥5 hr/wk (HR, 0.42; 95% CI, 0.18 to 0.96) were associated with a lower risk. Similar but non-significant associations for smoking and drinking were observed in women. CONCLUSIONS In addition to a history of hypertension and a history of diabetes mellitus, body mass index, smoking status, drinking status, and exercise habits were associated with the risk of mortality from chronic kidney disease.

BACKGROUND: Sex- and age-specific impacts of cardiovascular risk factors on the development of dementia have not been well evaluated. We investigated these impacts of smoking, overweight/obesity, hypertension, and diabetes mellitus on the risk of disabling dementia. METHODS: The study participants were 25,029 (10,134 men and 14,895 women) Japanese aged 40-74 years without disabling dementia at baseline (2008-2013). They were assessed on smoking status (non-current or current), overweight/obesity (body mass index ≥25 kg/m² and ≥30 kg/m², respectively), hypertension (systolic blood pressure ≥140 mmHg, diastolic blood pressure ≥90 mmHg or any antihypertensive medication use), and diabetes mellitus (a fasting serum glucose ≥126 mg/dL, non-fasting glucose ≥200 mg/dL, hemoglobin A1c ≥6.5% by the National Glycohemoglobin Standardization Program or glucose-lowering medication use) at baseline. Disabling dementia was identified as the level of care required ≥1 and cognitive disability grade ≥IIa according to the National Long-term Care Insurance Database. We used a Cox proportional regression model to estimate hazard ratios and 95% confidence intervals (95% CIs) of disabling dementia according to the cardiovascular risk factors and calculated the population attributable fractions (PAFs). RESULTS: During a median follow-up of 9.1 years, 1,322 (606 men and 716 women) developed disabling dementia. Current smoking and hypertension were associated with a higher risk of disabling dementia in both sexes, whereas overweight or obesity was not associated with the risk in either sex. Diabetes mellitus was associated with a higher risk only in women (p for sex interaction = 0.04). The significant PAFs were 13% for smoking and 14% for hypertension in men and 3% for smoking, 12% for hypertension, and 5% for diabetes mellitus in women. The total PAFs of the significant risk factors were 28% in men and 20% in women. When stratified by age, hypertension in midlife (40-64 years) was associated with the increased risk in men, while diabetes mellitus in later-life (65-74 years) was so in women. CONCLUSIONS A substantial burden of disabling dementia was attributable to smoking, and hypertension in both sexes and diabetes mellitus in women, which may require the management of these cardiovascular risk factors to prevent dementia.
Male ; Humans ; Female ; Adult ; Middle Aged ; Overweight/complications* ; East Asian People ; Cardiovascular Diseases/epidemiology* ; Hypertension/etiology* ; Diabetes Mellitus/etiology* ; Obesity/etiology* ; Smoking/epidemiology* ; Risk Factors ; Age Factors ; Dementia/etiology*

BACKGROUND: Few prospective studies have investigated the association between paternal occupational exposures and risk of infant congenital heart defects (CHDs). We investigated the associations between paternal occupational exposures, frequency of use, and concurrent or sequential exposure to a mixture of compounds and the risk of infant CHDs. METHODS: Our study examined 28,866 participants in the Japan Environment and Children's Study. Logistic regression analysis was used to estimate odds ratios (ORs) and 95% confidence intervals (CIs) associated with paternal occupational exposures during the 3 months until pregnancy was noticed after adjustment for potential confounding factors of the infant CHDs. CHD diagnosis was ascertained from medical record. RESULTS: In total, 175 were diagnosed with infant CHDs. The number of fathers who were exposed to the following substances at least once a month were: 11,533 for photo copying machine/laser printer, 10,326 for permanent marker, 8,226 for soluble paint/inkjet printer, 6,188 for kerosene/petroleum/benzene/gasoline, 4,173 for organic solvents, 3,433 for chlorine bleach/germicide, 2,962 for engine oil, 2,931 for insecticide, 2,460 for medical sterilizing disinfectant, 1,786 for welding fumes, 1,614 for dyestuffs, 1,247 for any products containing lead-like solder, 986 for herbicide, 919 for radiation/radioactive substances/isotopes, 837 for lead-free solder, 341 for microbes, 319 for formalin/formaldehyde, 301 for agricultural chemical not listed above or unidentified, 196 for general anesthetic for surgery at hospital, 171 for anti-cancer drug, 147 for chromium/arsenic/cadmium, 88 for mercury and 833 for other chemical substances. Paternal occupational exposure regularly to photo copying machine or laser printer and soluble paint/inkjet printer were associated with higher risks of infant CHDs: the adjusted ORs (95%CIs) were 1.38 (1.00-1.91) and 1.60 (1.08-2.37), respectively. The higher risks were also observed for occasional exposure to engine oil, any products containing lead-like solder lead-free solder, and microbes; the adjusted ORs (95%CIs) were 1.68 (1.02-2.77), 2.03 (1.06-3.88), 3.45 (1.85-6.43), and 4.51, (1.63-12.49), respectively. CONCLUSIONS Periconceptional paternal occupational exposure was associated with a higher risk of infant CHDs. Further studies using biomarkers of the association between paternal occupational exposure and infant CHDs are warranted.
Male ; Humans ; Infant ; Child ; Japan/epidemiology* ; Prospective Studies ; Risk Factors ; Case-Control Studies ; Occupational Exposure/adverse effects* ; Heart Defects, Congenital/epidemiology* ; Fathers

BACKGROUND: Previous cardiovascular risk prediction models in Japan have utilized prospective cohort studies with concise data. As the health information including health check-up records and administrative claims becomes digitalized and publicly available, application of large datasets based on such real-world data can achieve prediction accuracy and support social implementation of cardiovascular disease risk prediction models in preventive and clinical practice. In this study, classical regression and machine learning methods were explored to develop ischemic heart disease (IHD) and stroke prognostic models using real-world data. METHODS: IQVIA Japan Claims Database was searched to include 691,160 individuals (predominantly corporate employees and their families working in secondary and tertiary industries) with at least one annual health check-up record during the identification period (April 2013-December 2018). The primary outcome of the study was the first recorded IHD or stroke event. Predictors were annual health check-up records at the index year-month, comprising demographic characteristics, laboratory tests, and questionnaire features. Four prediction models (Cox, Elnet-Cox, XGBoost, and Ensemble) were assessed in the present study to develop a cardiovascular disease risk prediction model for Japan. RESULTS: The analysis cohort consisted of 572,971 invididuals. All prediction models showed similarly good performance. The Harrell's C-index was close to 0.9 for all IHD models, and above 0.7 for stroke models. In IHD models, age, sex, high-density lipoprotein, low-density lipoprotein, cholesterol, and systolic blood pressure had higher importance, while in stroke models systolic blood pressure and age had higher importance. CONCLUSION Our study analyzed classical regression and machine learning algorithms to develop cardiovascular disease risk prediction models for IHD and stroke in Japan that can be applied to practical use in a large population with predictive accuracy.
Humans ; Cardiovascular Diseases/epidemiology* ; Prognosis ; Prospective Studies ; Japan/epidemiology* ; Stroke/etiology* ; Myocardial Ischemia/epidemiology* ; Risk Assessment/methods*