2023
DOI: 10.1001/jamanetworkopen.2022.51506
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Association of Changes in Smoking Intensity With Risk of Dementia in Korea

Abstract: ImportanceSeveral observational studies have reported that smoking cessation is associated with a lower risk of dementia. However, no studies have examined the association between change in smoking intensity and risk of dementia.ObjectiveTo investigate the association between a change in smoking intensity, including smoking reduction and smoking cessation, and risk of all dementia.Design, Setting, and ParticipantsThis cohort study used data from the National Health Insurance Service database of Korea. The coho… Show more

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Cited by 18 publications
(15 citation statements)
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References 43 publications
(90 reference statements)
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“…Multiple imputation was also used to account for missing covariate data (i.e., those who reported all three lifestyle behaviors but lacked data in one or more variables in the health examination results). 32,33 Two-sided p values < .05 were considered statistically significant. All statistical analyses were performed using SAS version 9.4 (SAS Institute Inc.).…”
Section: Discussionmentioning
confidence: 99%
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“…Multiple imputation was also used to account for missing covariate data (i.e., those who reported all three lifestyle behaviors but lacked data in one or more variables in the health examination results). 32,33 Two-sided p values < .05 were considered statistically significant. All statistical analyses were performed using SAS version 9.4 (SAS Institute Inc.).…”
Section: Discussionmentioning
confidence: 99%
“…To evaluate the association between lifestyle behaviors and depression development, we performed a multivariable Cox proportional hazard regression analysis using three models: (1) model 1, nonadjusted; (2) model 2, adjusted for age and sex; and (3) model 3, adjusted for age, sex, smoking status on the index date (nonsmoker, former smoker, and current smoker), drinking status on the index date (nondrinker, mild drinker, and heavy drinker), regular physical activity on the index date, and the presence of diabetes mellitus, hypertension, dyslipidemia, chronic kidney disease, cardiovascular disease, heart failure, COPD, cerebrovascular disease, liver disease, and obesity. Multiple imputation was also used to account for missing covariate data (i.e., those who reported all three lifestyle behaviors but lacked data in one or more variables in the health examination results) 32,33 . Two‐sided p values < .05 were considered statistically significant.…”
Section: Methodsmentioning
confidence: 99%
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“…Patients diagnosed with depression or anxiety during the follow-up period were identified by one or more hospitalization or at least two outpatient clinic visits for the ICD-10 codes (F32–33 for newly diagnosed depression and F40–F41 for newly diagnosed anxiety, respectively), as in previous studies. 24,25 The prescription data for the definition of depression/anxiety were not available due to the limited access to the KNHIS. The study cohort was followed from 1 year after the year of first diagnosis (for pwMS or pwNMOSD) or the matched index year (for controls) until the year of the first diagnosis of depression or anxiety or the end of the study period (31 December 2019), whichever came first.…”
Section: Methodsmentioning
confidence: 99%
“…The missing lines for the 95% CIs have also been added to the first panel. This article has been corrected …”
mentioning
confidence: 99%