Objectives: Eveningness predominates in adolescence. Morningness has been reported to be associated with mental toughness via resilience. Morningness could be related to healthy sleep habits and a good personality. Methods: Sleep-related behaviors, such as weekend oversleep, social jetlag, and daytime sunlight exposure between 10:00 and 15:00, were evaluated using sleep-related questionnaires. Morningness-eveningness questionnaire, insomnia severity index, Epworth sleepiness scale, hospital anxiety and depression scale and defense style questionnaire were used. This study includes 1,610 high school students. Results: Multiple linear regression analysis revealed that morningness is predicted by male sex (β=0.115, t=4.769, p<0.001) and greater adaptive (β=0.092, t=3.506, p<0.001) and self-suppressive defense styles (β=0.072, t=2.192, p=0.029) and lesser immature defense styles (β=-0.163, t=-4.782, p<0.001) after controlling for age, sleep quality, depression, anxiety. Morningness is also predicted by greater sublimation (β=0.09, t=3.541, p<0.001) and reaction formation (β=0.112, t=4.488, p<0.001) and lesser consumption (β=-0.062, t=-2.501, p=0.012), passive aggression (β=-0.101, t=-3.747, p<0.001) and withdrawal (β=-0.084, t=-2.955, p=0.003), and male sex (β=0.117, t=4.896, p<0.001) after controlling for age, sleep quality, depression, and anxiety. Conclusion Morniness in adolescence may be related to a positive personality. Promoting morningness might be related to healthy development in personality.

Objectives: Eveningness predominates in adolescence. Morningness has been reported to be associated with mental toughness via resilience. Morningness could be related to healthy sleep habits and a good personality. Methods: Sleep-related behaviors, such as weekend oversleep, social jetlag, and daytime sunlight exposure between 10:00 and 15:00, were evaluated using sleep-related questionnaires. Morningness-eveningness questionnaire, insomnia severity index, Epworth sleepiness scale, hospital anxiety and depression scale and defense style questionnaire were used. This study includes 1,610 high school students. Results: Multiple linear regression analysis revealed that morningness is predicted by male sex (β=0.115, t=4.769, p<0.001) and greater adaptive (β=0.092, t=3.506, p<0.001) and self-suppressive defense styles (β=0.072, t=2.192, p=0.029) and lesser immature defense styles (β=-0.163, t=-4.782, p<0.001) after controlling for age, sleep quality, depression, anxiety. Morningness is also predicted by greater sublimation (β=0.09, t=3.541, p<0.001) and reaction formation (β=0.112, t=4.488, p<0.001) and lesser consumption (β=-0.062, t=-2.501, p=0.012), passive aggression (β=-0.101, t=-3.747, p<0.001) and withdrawal (β=-0.084, t=-2.955, p=0.003), and male sex (β=0.117, t=4.896, p<0.001) after controlling for age, sleep quality, depression, and anxiety. Conclusion Morniness in adolescence may be related to a positive personality. Promoting morningness might be related to healthy development in personality.

Objectives: ：Among the various risk factors for suicide, geographic factors have different effects on males and females. This study aimed to identify differences between genders in spatiotemporal dependence and spatiotemporal patterns of suicide mortality over the preceding decade. Methods: ：This research analyzed the age-adjusted suicide mortality rate per 100,000 population, spanning from 2012 to 2021, for intentional suicides across each administrative district (229 Si, Gun, Gu) in Korea. Data were sourced from the National Statistical Office of the Korean Statistical Information Service. The Moran’s I in-dex for spatial autocorrelation of the suicide mortality rates was computed. An emerging hot spot analysis was conducted to examine the community-level spatiotemporal distribution patterns, thus providing insight into the re-gional clustering characteristics that reflect the temporal-spatial clusters of suicide mortality rates. Results: ：TIn males, the Moran’s I indices were almost above 0 (p-value<0.05) for most years, indicating sig-nificant spatial autocorrelation. Conversely, no significant regional clustering was observed among females dur-ing the same period. The emerging hot spot analysis, focusing on the temporal trends in the spatial distributionof male suicide mortality rates from 2012 to 2021, identified two distinct time series patterns and a total of 12 hot spot areas: seven new spots and five sporadic spots. Conclusions ：This study is the first to intuitively demonstrate the disparities in spatiotemporal dependencies and patterns of suicide mortality rates in Korea between genders. The findings highlight the necessity for tailoredsuicide prevention strategies that are sensitive to gender differences.

Objectives: ：Among the various risk factors for suicide, geographic factors have different effects on males and females. This study aimed to identify differences between genders in spatiotemporal dependence and spatiotemporal patterns of suicide mortality over the preceding decade. Methods: ：This research analyzed the age-adjusted suicide mortality rate per 100,000 population, spanning from 2012 to 2021, for intentional suicides across each administrative district (229 Si, Gun, Gu) in Korea. Data were sourced from the National Statistical Office of the Korean Statistical Information Service. The Moran’s I in-dex for spatial autocorrelation of the suicide mortality rates was computed. An emerging hot spot analysis was conducted to examine the community-level spatiotemporal distribution patterns, thus providing insight into the re-gional clustering characteristics that reflect the temporal-spatial clusters of suicide mortality rates. Results: ：TIn males, the Moran’s I indices were almost above 0 (p-value<0.05) for most years, indicating sig-nificant spatial autocorrelation. Conversely, no significant regional clustering was observed among females dur-ing the same period. The emerging hot spot analysis, focusing on the temporal trends in the spatial distributionof male suicide mortality rates from 2012 to 2021, identified two distinct time series patterns and a total of 12 hot spot areas: seven new spots and five sporadic spots. Conclusions ：This study is the first to intuitively demonstrate the disparities in spatiotemporal dependencies and patterns of suicide mortality rates in Korea between genders. The findings highlight the necessity for tailoredsuicide prevention strategies that are sensitive to gender differences.

Objectives: ：Among the various risk factors for suicide, geographic factors have different effects on males and females. This study aimed to identify differences between genders in spatiotemporal dependence and spatiotemporal patterns of suicide mortality over the preceding decade. Methods: ：This research analyzed the age-adjusted suicide mortality rate per 100,000 population, spanning from 2012 to 2021, for intentional suicides across each administrative district (229 Si, Gun, Gu) in Korea. Data were sourced from the National Statistical Office of the Korean Statistical Information Service. The Moran’s I in-dex for spatial autocorrelation of the suicide mortality rates was computed. An emerging hot spot analysis was conducted to examine the community-level spatiotemporal distribution patterns, thus providing insight into the re-gional clustering characteristics that reflect the temporal-spatial clusters of suicide mortality rates. Results: ：TIn males, the Moran’s I indices were almost above 0 (p-value<0.05) for most years, indicating sig-nificant spatial autocorrelation. Conversely, no significant regional clustering was observed among females dur-ing the same period. The emerging hot spot analysis, focusing on the temporal trends in the spatial distributionof male suicide mortality rates from 2012 to 2021, identified two distinct time series patterns and a total of 12 hot spot areas: seven new spots and five sporadic spots. Conclusions ：This study is the first to intuitively demonstrate the disparities in spatiotemporal dependencies and patterns of suicide mortality rates in Korea between genders. The findings highlight the necessity for tailoredsuicide prevention strategies that are sensitive to gender differences.

Objectives: Eveningness predominates in adolescence. Morningness has been reported to be associated with mental toughness via resilience. Morningness could be related to healthy sleep habits and a good personality. Methods: Sleep-related behaviors, such as weekend oversleep, social jetlag, and daytime sunlight exposure between 10:00 and 15:00, were evaluated using sleep-related questionnaires. Morningness-eveningness questionnaire, insomnia severity index, Epworth sleepiness scale, hospital anxiety and depression scale and defense style questionnaire were used. This study includes 1,610 high school students. Results: Multiple linear regression analysis revealed that morningness is predicted by male sex (β=0.115, t=4.769, p<0.001) and greater adaptive (β=0.092, t=3.506, p<0.001) and self-suppressive defense styles (β=0.072, t=2.192, p=0.029) and lesser immature defense styles (β=-0.163, t=-4.782, p<0.001) after controlling for age, sleep quality, depression, anxiety. Morningness is also predicted by greater sublimation (β=0.09, t=3.541, p<0.001) and reaction formation (β=0.112, t=4.488, p<0.001) and lesser consumption (β=-0.062, t=-2.501, p=0.012), passive aggression (β=-0.101, t=-3.747, p<0.001) and withdrawal (β=-0.084, t=-2.955, p=0.003), and male sex (β=0.117, t=4.896, p<0.001) after controlling for age, sleep quality, depression, and anxiety. Conclusion Morniness in adolescence may be related to a positive personality. Promoting morningness might be related to healthy development in personality.

Objectives: Eveningness predominates in adolescence. Morningness has been reported to be associated with mental toughness via resilience. Morningness could be related to healthy sleep habits and a good personality. Methods: Sleep-related behaviors, such as weekend oversleep, social jetlag, and daytime sunlight exposure between 10:00 and 15:00, were evaluated using sleep-related questionnaires. Morningness-eveningness questionnaire, insomnia severity index, Epworth sleepiness scale, hospital anxiety and depression scale and defense style questionnaire were used. This study includes 1,610 high school students. Results: Multiple linear regression analysis revealed that morningness is predicted by male sex (β=0.115, t=4.769, p<0.001) and greater adaptive (β=0.092, t=3.506, p<0.001) and self-suppressive defense styles (β=0.072, t=2.192, p=0.029) and lesser immature defense styles (β=-0.163, t=-4.782, p<0.001) after controlling for age, sleep quality, depression, anxiety. Morningness is also predicted by greater sublimation (β=0.09, t=3.541, p<0.001) and reaction formation (β=0.112, t=4.488, p<0.001) and lesser consumption (β=-0.062, t=-2.501, p=0.012), passive aggression (β=-0.101, t=-3.747, p<0.001) and withdrawal (β=-0.084, t=-2.955, p=0.003), and male sex (β=0.117, t=4.896, p<0.001) after controlling for age, sleep quality, depression, and anxiety. Conclusion Morniness in adolescence may be related to a positive personality. Promoting morningness might be related to healthy development in personality.

Purpose: To investigate urine microbiome differences among healthy women, women with recurrent uncomplicated cystitis (rUC), and those with sporadic/single uncomplicated cystitis (sUC) to challenge traditional beliefs about origins of these infections. Materials and Methods: Patients who underwent both conventional urine culture and next-generation sequencing (NGS) of urine were retrospectively reviewed. Symptom-free women with normal urinalysis results as a control group were also studied. Samples were collected via transurethral catheterization. Results: In the control group, urine microbiome was detected on NGS in 83.3%, with Lactobacillus and Prevotella being the most abundant genera. The sensitivity of urine NGS was significantly higher than that of conventional urine culture in both the sUC group (91.2% vs. 32.4%) and the rUC group (82.4% vs. 16.4%). In urine NGS results, Enterobacterales, Prevotella, and Escherichia/ Shigella were additionally found in the sUC group, while the recurrent urinary tract infection (rUTI)/rUC group exhibited the presence of Lactobacillus, Prevotella, Enterobacterales, Escherichia/Shigella, and Propionibacterium. Moreover, distinct patterns of urine NGS were observed based on menopausal status and ingestion of antibiotics or probiotics prior to NGS test sampling. Conclusions Urine microbiomes in control, sUC, and rUTI/rUC groups exhibited distinct characteristics. Notably, sUC and rUC might represent entirely separate pathological processes, given their distinct urine microbiomes. Consequently, the use of urine NGS might be essential to enhancing sensitivity compared to conventional urine culture in both sUC and rUTI/rUC groups.

Objectives: ：Among the various risk factors for suicide, geographic factors have different effects on males and females. This study aimed to identify differences between genders in spatiotemporal dependence and spatiotemporal patterns of suicide mortality over the preceding decade. Methods: ：This research analyzed the age-adjusted suicide mortality rate per 100,000 population, spanning from 2012 to 2021, for intentional suicides across each administrative district (229 Si, Gun, Gu) in Korea. Data were sourced from the National Statistical Office of the Korean Statistical Information Service. The Moran’s I in-dex for spatial autocorrelation of the suicide mortality rates was computed. An emerging hot spot analysis was conducted to examine the community-level spatiotemporal distribution patterns, thus providing insight into the re-gional clustering characteristics that reflect the temporal-spatial clusters of suicide mortality rates. Results: ：TIn males, the Moran’s I indices were almost above 0 (p-value<0.05) for most years, indicating sig-nificant spatial autocorrelation. Conversely, no significant regional clustering was observed among females dur-ing the same period. The emerging hot spot analysis, focusing on the temporal trends in the spatial distributionof male suicide mortality rates from 2012 to 2021, identified two distinct time series patterns and a total of 12 hot spot areas: seven new spots and five sporadic spots. Conclusions ：This study is the first to intuitively demonstrate the disparities in spatiotemporal dependencies and patterns of suicide mortality rates in Korea between genders. The findings highlight the necessity for tailoredsuicide prevention strategies that are sensitive to gender differences.

Objectives: ：Among the various risk factors for suicide, geographic factors have different effects on males and females. This study aimed to identify differences between genders in spatiotemporal dependence and spatiotemporal patterns of suicide mortality over the preceding decade. Methods: ：This research analyzed the age-adjusted suicide mortality rate per 100,000 population, spanning from 2012 to 2021, for intentional suicides across each administrative district (229 Si, Gun, Gu) in Korea. Data were sourced from the National Statistical Office of the Korean Statistical Information Service. The Moran’s I in-dex for spatial autocorrelation of the suicide mortality rates was computed. An emerging hot spot analysis was conducted to examine the community-level spatiotemporal distribution patterns, thus providing insight into the re-gional clustering characteristics that reflect the temporal-spatial clusters of suicide mortality rates. Results: ：TIn males, the Moran’s I indices were almost above 0 (p-value<0.05) for most years, indicating sig-nificant spatial autocorrelation. Conversely, no significant regional clustering was observed among females dur-ing the same period. The emerging hot spot analysis, focusing on the temporal trends in the spatial distributionof male suicide mortality rates from 2012 to 2021, identified two distinct time series patterns and a total of 12 hot spot areas: seven new spots and five sporadic spots. Conclusions ：This study is the first to intuitively demonstrate the disparities in spatiotemporal dependencies and patterns of suicide mortality rates in Korea between genders. The findings highlight the necessity for tailoredsuicide prevention strategies that are sensitive to gender differences.