Irregularity

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Kyung Do Han - One of the best experts on this subject based on the ideXlab platform.

  • association between menstrual cycle Irregularity and tinnitus a nationwide population based study
    Scientific Reports, 2019
    Co-Authors: Ga Eun Nam, Kyung Do Han, Ji Su Kim, Yang Hyun Kim, Kyung Hwan Cho, Gunseog Kang, Yong Kyun Roh
    Abstract:

    This population-based cross-sectional study investigated the association between menstrual cycle Irregularity and tinnitus in premenopausal Korean women. We used data from the 5th Korea National Health and Nutrition Examination Survey (2010–2012). A total of 4633 premenopausal women were included. Hierarchical multivariable logistic regression analysis was performed. Individuals with tinnitus accounted for 21.6%. Women with tinnitus or menstrual Irregularity had significantly higher rates of stress, depressive mood, and suicidal ideation than those without. The proportion of individuals with irregular menstrual cycles with duration of longer than 3 months increased as the severity of tinnitus increased (P = 0.01). After adjusting for confounding variables, the odds of tinnitus increased in individuals with irregular menstrual cycles compared to those with regular menstrual cycles. The odds ratios (ORs) of tinnitus tended to increase as the duration of menstrual Irregularity became longer (1.37, 95% confidence interval: 1.06–1.78 for duration of up to 3 months; 1.71, 1.03–2.85 for duration of longer than 3 months, P for trend = 0.002). Our study found a positive association between menstrual cycle Irregularity and tinnitus. Menstrual cycle Irregularity may be a related factor of tinnitus in women with childbearing age.

  • evaluation of the association between menstrual cycle Irregularity and dental pain or chewing discomfort in women before menopause
    Journal of Clinical Medicine, 2019
    Co-Authors: Inseok Song, Kyung Do Han, Jaejun Ryu, Junbeom Park
    Abstract:

    This study was performed to assess the relationship between menstrual Irregularity and dental pain or chewing discomfort in women before menopause, using nationally representative data. This study analyzed 4595 participants who were ≥19 years or older, and did not have missing values for outcome variables from the Korean National Health and Nutrition Examination Survey. Tooth pain was considered present if the participant felt throbbing discomfort, pain, or sensitivity when eating hot or cold food or drinking hot or cold beverages. Self-reported oral chewing discomfort was obtained. Adjusted odds ratios and their 95% confidence intervals for tooth pain in the individuals with menstrual cycle Irregularity were 1.30 (1.05, 1.62) after adjustment for age, body mass index, drinking, smoking, income, exercise, stress, metabolic syndrome, and the frequency of tooth brushing. Adjusted odds ratios and their 95% confidence intervals for chewing discomfort in the individuals with menstrual cycle Irregularity were 1.33 (1.03, 1.72) after adjustment. The association between menstrual Irregularity and dental pain or chewing discomfort in women before menopause was proven-after adjusting for confounding factors-by multiple logistic regression analyses. Menstrual cycle Irregularity may be considered a potential risk indicator for dental pain or chewing discomfort in Korean women before menopause.

  • associations of mental health and sleep duration with menstrual cycle Irregularity a population based study
    Archives of Womens Mental Health, 2018
    Co-Authors: Taeryoon Kim, Ga Eun Nam, Byoungduck Han, Sung Jung Cho, Junghun Kim, Do Hyun Eum, Sang Woo Lee, Soon Hong Min, Woohyun Lee, Kyung Do Han
    Abstract:

    This study aimed to examine whether the characteristics of mental health and sleep duration, alone or in combination, are associated with menstrual cycle Irregularity. This population-based, cross-sectional study analyzed the data from 4445 women aged 19–49 years, who participated in the Korea National Health and Nutrition Examination Survey 2010–2012. A structured questionnaire was used to assess mental health characteristics, sleep duration, and menstrual cycle Irregularity. A multivariable logistic regression analysis was performed. High stress, depressive mood, and suicidal ideation were associated with increased risk of menstrual cycle Irregularity after adjusting for confounding variables (odds ratio [95% confidence interval] = 1.33 [1.07–1.65], 1.56 [1.17–2.07], and 1.37 [1.01–1.87], respectively). Short sleep duration (≤ 5 h a day) was significantly associated with higher odds of severe menstrual cycle Irregularity with menstrual interval of greater than 3 months (2.67 [1.35–5.27]). Participants with sleep duration of ≤ 5 h a day with psychological stress, depressive mood, or suicidal ideation had higher odds of menstrual cycle Irregularity (1.96 [1.26–3.05], 2.86 [1.50–5.44], and 2.25 [1.18–4.29]). This study suggests positive associations of mental health problems and short sleep duration with menstrual cycle Irregularity among Korean female adults. Therefore, strategies to deal with psychological stress, depressive mood, and sleep duration are needed for improving the reproductive health of women suffering from menstrual disturbances.

  • association between sleep duration and menstrual cycle Irregularity in korean female adolescents
    Sleep Medicine, 2017
    Co-Authors: Ga Eun Nam, Kyung Do Han, Gyungjoo Lee
    Abstract:

    ABSTRACT Objective The association between sleep and the menstrual cycle in the adolescent population has been scarcely studied. This study aimed to investigate the association between sleep duration and menstrual cycle Irregularity among female adolescents using nationwide representative data from the South Korean population. Methods This population-based, cross-sectional study used the data collected from Korea National Health and Nutrition Examination Survey 2010–2012, and the data from 801 female adolescents were analyzed. Hierarchical multivariable logistic regression analysis was performed to assess the risk of menstrual cycle Irregularity in relation to sleep duration. Results : Subjects with menstrual cycle Irregularity accounted for 15% ( N = 120). The mean sleep duration in subjects with menstrual cycle Irregularity was significantly shorter than that in those without ( p =0.003). Menstrual cycle Irregularity prevalence tended to decrease as sleep duration increased ( p for trend=0.004), which was significantly different based on sleep duration and presence of depressive mood ( p =0.011). Sleep duration ≤5 h per day was significantly associated with increased risk of menstrual cycle Irregularity compared with that in the subjects whose sleep duration is ≥8 h per day even after adjusting for confounding variables. The odds ratios of menstrual cycle Irregularity tended to increase for shorter sleep duration in all adjusted models. Conclusion This study found a significant inverse association between sleep duration and menstrual cycle Irregularity among Korean female adolescents. Increasing sleep duration is required to improve the reproductive health of female adolescents.

  • Association between Body Weight Changes and Menstrual Irregularity: The Korea National Health and Nutrition Examination Survey 2010 to 2012.
    Endocrinology and Metabolism, 2017
    Co-Authors: Kyung Do Han, Yong Gyu Park, Youn Jee Chung, Kun Ho Yoon, Seunghwan Lee
    Abstract:

    BACKGROUND Menstrual Irregularity is an indicator of endocrine disorders and reproductive health status. It is associated with various diseases and medical conditions, including obesity and underweight. We aimed to assess the association between body weight changes and menstrual Irregularity in Korean women. METHODS A total of 4,621 women 19 to 54 years of age who participated in the 2010 to 2012 Korea National Health and Nutrition Examination Survey were included in this study. Self-reported questionnaires were used to collect medical information assessing menstrual health status and body weight changes. Odds ratios (ORs) and 95% confidence interval (CI) were calculated to evaluate the association between body weight changes and menstrual Irregularity. RESULTS Significantly higher ORs (95% CI) were observed in the association between menstrual Irregularity and both weight loss (OR, 1.74; 95% CI, 1.22 to 2.48) and weight gain (OR, 1.45; 95% CI, 1.13 to 1.86) after adjusting for age, body mass index, current smoking, heavy alcohol drinking, regular exercise, calorie intake, education, income, metabolic syndrome, age of menarche, parity, and stress perception. Of note, significant associations were only observed in subjects with obesity and abdominal obesity, but not in non-obese or non-abdominally obese subjects. U-shaped patterns were demonstrated in both obese and abdominally obese subjects, indicating that greater changes in body weight are associated with higher odds of menstrual Irregularity. CONCLUSION We found a U-shaped pattern of association between body weight changes and menstrual Irregularity among obese women in the general Korean population. This result indicates that not only proper weight management but also changes in body weight may influence the regulation of the menstrual cycle.

Ga Eun Nam - One of the best experts on this subject based on the ideXlab platform.

  • association between menstrual cycle Irregularity and tinnitus a nationwide population based study
    Scientific Reports, 2019
    Co-Authors: Ga Eun Nam, Kyung Do Han, Ji Su Kim, Yang Hyun Kim, Kyung Hwan Cho, Gunseog Kang, Yong Kyun Roh
    Abstract:

    This population-based cross-sectional study investigated the association between menstrual cycle Irregularity and tinnitus in premenopausal Korean women. We used data from the 5th Korea National Health and Nutrition Examination Survey (2010–2012). A total of 4633 premenopausal women were included. Hierarchical multivariable logistic regression analysis was performed. Individuals with tinnitus accounted for 21.6%. Women with tinnitus or menstrual Irregularity had significantly higher rates of stress, depressive mood, and suicidal ideation than those without. The proportion of individuals with irregular menstrual cycles with duration of longer than 3 months increased as the severity of tinnitus increased (P = 0.01). After adjusting for confounding variables, the odds of tinnitus increased in individuals with irregular menstrual cycles compared to those with regular menstrual cycles. The odds ratios (ORs) of tinnitus tended to increase as the duration of menstrual Irregularity became longer (1.37, 95% confidence interval: 1.06–1.78 for duration of up to 3 months; 1.71, 1.03–2.85 for duration of longer than 3 months, P for trend = 0.002). Our study found a positive association between menstrual cycle Irregularity and tinnitus. Menstrual cycle Irregularity may be a related factor of tinnitus in women with childbearing age.

  • associations of mental health and sleep duration with menstrual cycle Irregularity a population based study
    Archives of Womens Mental Health, 2018
    Co-Authors: Taeryoon Kim, Ga Eun Nam, Byoungduck Han, Sung Jung Cho, Junghun Kim, Do Hyun Eum, Sang Woo Lee, Soon Hong Min, Woohyun Lee, Kyung Do Han
    Abstract:

    This study aimed to examine whether the characteristics of mental health and sleep duration, alone or in combination, are associated with menstrual cycle Irregularity. This population-based, cross-sectional study analyzed the data from 4445 women aged 19–49 years, who participated in the Korea National Health and Nutrition Examination Survey 2010–2012. A structured questionnaire was used to assess mental health characteristics, sleep duration, and menstrual cycle Irregularity. A multivariable logistic regression analysis was performed. High stress, depressive mood, and suicidal ideation were associated with increased risk of menstrual cycle Irregularity after adjusting for confounding variables (odds ratio [95% confidence interval] = 1.33 [1.07–1.65], 1.56 [1.17–2.07], and 1.37 [1.01–1.87], respectively). Short sleep duration (≤ 5 h a day) was significantly associated with higher odds of severe menstrual cycle Irregularity with menstrual interval of greater than 3 months (2.67 [1.35–5.27]). Participants with sleep duration of ≤ 5 h a day with psychological stress, depressive mood, or suicidal ideation had higher odds of menstrual cycle Irregularity (1.96 [1.26–3.05], 2.86 [1.50–5.44], and 2.25 [1.18–4.29]). This study suggests positive associations of mental health problems and short sleep duration with menstrual cycle Irregularity among Korean female adults. Therefore, strategies to deal with psychological stress, depressive mood, and sleep duration are needed for improving the reproductive health of women suffering from menstrual disturbances.

  • association between sleep duration and menstrual cycle Irregularity in korean female adolescents
    Sleep Medicine, 2017
    Co-Authors: Ga Eun Nam, Kyung Do Han, Gyungjoo Lee
    Abstract:

    ABSTRACT Objective The association between sleep and the menstrual cycle in the adolescent population has been scarcely studied. This study aimed to investigate the association between sleep duration and menstrual cycle Irregularity among female adolescents using nationwide representative data from the South Korean population. Methods This population-based, cross-sectional study used the data collected from Korea National Health and Nutrition Examination Survey 2010–2012, and the data from 801 female adolescents were analyzed. Hierarchical multivariable logistic regression analysis was performed to assess the risk of menstrual cycle Irregularity in relation to sleep duration. Results : Subjects with menstrual cycle Irregularity accounted for 15% ( N = 120). The mean sleep duration in subjects with menstrual cycle Irregularity was significantly shorter than that in those without ( p =0.003). Menstrual cycle Irregularity prevalence tended to decrease as sleep duration increased ( p for trend=0.004), which was significantly different based on sleep duration and presence of depressive mood ( p =0.011). Sleep duration ≤5 h per day was significantly associated with increased risk of menstrual cycle Irregularity compared with that in the subjects whose sleep duration is ≥8 h per day even after adjusting for confounding variables. The odds ratios of menstrual cycle Irregularity tended to increase for shorter sleep duration in all adjusted models. Conclusion This study found a significant inverse association between sleep duration and menstrual cycle Irregularity among Korean female adolescents. Increasing sleep duration is required to improve the reproductive health of female adolescents.

  • the association between mental health problems and menstrual cycle Irregularity among adolescent korean girls
    Journal of Affective Disorders, 2017
    Co-Authors: Kyung Do Han, Ga Eun Nam
    Abstract:

    Abstract Background Menstrual cycle Irregularity is common among adolescents and can induce mental health problems such as stress, depression, and suicidal ideation. We examined the association between mental health problems and menstrual cycle Irregularity among adolescent Korean girls. Methods This population-based cross-sectional study was on 808 female adolescents (12–18 years of age) participating in the 2010–2012 Korean National Health and Nutrition Examination Survey. Psychological stress, depressive mood, suicidal ideations, suicide attempts, and psychological counseling were assessed through questionnaires and surveys, and hierarchical multivariable logistic regression analysis was performed. Results The risk of menstrual cycle Irregularity tended to increase, as the number of mental health problems increased (P for trend=0.016). High stress levels, depressive mood, and psychological counseling were associated with increased risks of menstrual cycle Irregularity (odd ratio [95% confidence interval]=1.88 [1.1–3.21], 2.01 [1.01–4.03], and 2.92 [1.16–7.34], respectively) even after adjusting for age, body mass index, alcohol consumption, smoking status, physical activity, hemoglobin level, monthly household income, weight loss attempts, age at menarche, and sleep duration. Suicidal ideation was not significantly associated with menstrual cycle Irregularity. Limitations Menstrual Irregularity was evaluated based solely on subjects’ self-reports, which are subject to their subjective perceptions and appraisal. Cross-sectional design and retrospective data could not draw causal relationship. Conclusions Positive associations were observed between mental health problems and menstrual cycle Irregularity among adolescent Korean girls. More attention should be paid towards mental health, to improve menstrual cycle regularity and help prevent related chronic diseases later in life.

  • Association between Metabolic Syndrome and Menstrual Irregularity in Middle-Aged Korean Women
    Korean Journal of Family Medicine, 2016
    Co-Authors: Sang Su Lee, Hoon Kim, Ga Eun Nam, Hyo Yun Nam, Young Eun Kim, Lee Sung-ho, Kyung Do Han, Yong Gyu Park
    Abstract:

    Background: Menstrual Irregularity is a common major complaint in women of reproductive age. It is also a known marker for underlying insulin resistance. We investigated the association between menstrual Irregularity and metabolic syndrome in the general population of middle-aged women in Korea. Methods: This cross-sectional study used data from the Korea National Health and Nutrition Examination Survey 2010–2012. A total of 2,742 subjects were included in the analysis. Participants were divided into two categories based on their menstrual cycle regularity and the relationship between metabolic syndrome and its variables was investigated by multiple logistic regression analysis. Results: Adjusted analyses revealed significantly higher odds ratios for metabolic syndrome, high waist circumference, high triglyceride levels, and low high density lipoprotein cholesterol levels with the presence of menstrual Irregularity. Conclusion: Metabolic syndrome and its components (high waist circumference, high triglyceride levels, and low high density lipoprotein cholesterol levels) were significantly associated with menstrual Irregularity in women of reproductive age.

John A Stankovic - One of the best experts on this subject based on the ideXlab platform.

  • models and solutions for radio Irregularity in wireless sensor networks
    ACM Transactions on Sensor Networks, 2006
    Co-Authors: Gang Zhou, Sudha Krishnamurthy, John A Stankovic
    Abstract:

    In this article, we investigate the impact of radio Irregularity on wireless sensor networks. Radio Irregularity is a common phenomenon that arises from multiple factors, such as variance in RF sending power and different path losses, depending on the direction of propagation. From our experiments, we discover that the variance in received signal strength is largely random; however, it exhibits a continuous change with incremental changes in direction. With empirical data obtained from the MICA2 and MICAZ platforms, we establish a radio model for simulation, called the Radio Irregularity Model (RIM). This model is the first to bridge the discrepancy between the spherical radio models used by simulators and the physical reality of radio signals. With this model, we investigate the impact of radio Irregularity on several upper layer protocols, including MAC, routing, localization and topology control. Our results show that radio Irregularity has a relatively larger impact on the routing layer than the MAC layer. It also shows that radio Irregularity leads to larger localization errors and makes it harder to maintain communication connectivity in topology control. To deal with these issues, we present eight solutions to deal with radio Irregularity. We evaluate three of them in detail. The results obtained from both the simulations and a running testbed demonstrate that our solutions greatly improve system performance in the presence of radio Irregularity.

  • impact of radio Irregularity on wireless sensor networks
    International Conference on Mobile Systems Applications and Services, 2004
    Co-Authors: Gang Zhou, Sudha Krishnamurthy, Tian He, John A Stankovic
    Abstract:

    In this paper, we investigate the impact of radio Irregularity on the communication performance in wireless sensor networks. Radio Irregularity is a common phenomenon which arises from multiple factors, such as variance in RF sending power and different path losses depending on the direction of propagation. From our experiments, we discover that the variance in received signal strength is largely random; however, it exhibits a continuous change with incremental changes in direction. With empirical data obtained from the MICA2 platform, we establish a radio model for simulation, called the Radio Irregularity Model (RIM). This model is the first to bridge the discrepancy between spherical radio models used by simulators and the physical reality of radio signals. With this model, we are able to analyze the impact of radio Irregularity on some of the well-known MAC and routing protocols. Our results show that radio Irregularity has a significant impact on routing protocols, but a relatively small impact on MAC protocols. Finally, we propose six solutions to deal with radio Irregularity. We evaluate two of them in detail. The results obtained from both the simulation and a running testbed demonstrate that our solutions greatly improve communication performance in the presence of radio Irregularity.

Ye Liu - One of the best experts on this subject based on the ideXlab platform.

  • topology control models and solutions for signal Irregularity in mobile underwater wireless sensor networks
    Journal of Network and Computer Applications, 2015
    Co-Authors: Linfeng Liu, Ningshen Zhang, Ye Liu
    Abstract:

    Underwater wireless sensor networks (UWSNs) have been developed for a set of underwater applications, including resource exploration, pollution monitoring, and tactical surveillance. The topology control techniques of UWSNs and terrestrial wireless sensor networks are significantly different because of the particularity of underwater environments and acoustic communication. In underwater environments, signal Irregularity phenomenon affecting network protocols is more prone to exhibit, and anchored sensor nodes towed by wires move within a spherical crown surface randomly. However, most previous efforts about topology control either have not been made on signal Irregularity in mobile underwater wireless sensor networks, or the proposed Irregularity models are too idealistic to reflect reality. The current study constructs a more authentic signal Irregularity model, which can be degenerated into a variety of special cases easily, and three representative topology control objectives (( K S , β)-Coverage, ( K C , α)-Connectivity, and efficient consumption) are concluded. A topology control algorithm for signal Irregularity (TCASI) is designed for this topology control problem. The results prove the convergence of TCASI and polynomial complexity as well. The performance of the algorithm is analyzed through simulation experiments that indicate a well-constructed topology, where (KS, β)-Coverage and (KC, α)-Connectivity can be achieved while optimizing energy consumption as much as possible.

Mingming Jiang - One of the best experts on this subject based on the ideXlab platform.

  • millimeter scale track Irregularity surveying based on zupt aided ins with sub decimeter scale landmarks
    Sensors, 2017
    Co-Authors: Qingan Jiang, Wenqi Wu, Yun Li, Mingming Jiang
    Abstract:

    Railway track Irregularity surveying is important for the construction and the maintenance of railway lines. With the development of inertial devices, systems based on Inertial Navigation System (INS) have become feasible and popular approaches in track surveying applications. In order to overcome the requirement of high precision control points, this paper proposes a railway track Irregularity measurement approach using the INS combined with the Zero Velocity Updates (ZUPT) technique and sub-decimeter scale landmarks. The equations for calculating track Irregularity parameters from absolute position errors are deduced. Based on covariance analysis, the analytical relationships among the track Irregularity measurements with the drifts of inertial sensors, the initial attitude errors and the observations of velocity and position are established. Simulations and experimental results show that the relative accuracy for 30 m chord of the proposed approach for track Irregularity surveying can reach approximately 1 mm (1σ) with gyro bias instability of 0.01°/h, random walk noise of 0.005 ° / h , and accelerometer bias instability of 50 μ g , random noise of 10 μ g / Hz , while velocity observations are provided by the ZUPT technique at about every 60 m intervals. This accuracy can meet the most stringent requirements of millimeter scale medium wavelength track Irregularity surveying for railway lines. Furthermore, this approach reduces the requirement of high precision landmarks which can lighten the maintenance burden of control points and improve the work efficiency of railway track Irregularity measurements.