• Title/Summary/Keyword: health trajectories

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Identifying Trajectories of Health-related Quality of Life in Mid-life Transition Women: Secondary Data Analysis of Korean Longitudinal Survey of Women & Families (중년전환기 여성의 건강관련 삶의 질 변화유형 분석: 여성가족패널 자료를 이용한 2차자료분석)

  • Son, Miseon
    • Research in Community and Public Health Nursing
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    • v.33 no.1
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    • pp.74-83
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    • 2022
  • Purpose: The purpose of this study was to identify latent classes of health-related quality of life trajectories in middle-aged women and investigate predictors for latent classes. Methods: This study utilized data from the 2nd, the 4th to the 7th Korean Longitudinal Survey of Women & Families. The subjects included 1,351 women aged 40~45 years. The data was analyzed using latent class growth analysis and logistic regression. Results: Two trajectories were identified for health-related quality of life in middle-aged women; 'persistently good' and 'increasing' groups. Predictors for the 'increasing' group were lower economic status, higher depression, and lower perceived health status. Conclusion: This study showed that characteristics of the individual, symptom status, and health perceptions were associated with health-related quality of life in middle-aged women. It is necessary to provide effective intervention for latent classes of health-related quality of life trajectories based on physical, mental, and social factors.

Multidimensional Health Trajectories and Their Correlates Among Older Adults (노인의 다중적 건강 변화궤적 유형화 및 관련요인 탐색)

  • Bae, Dayoung;Park, Eunbin
    • Journal of Korean Home Economics Education Association
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    • v.33 no.4
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    • pp.31-48
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    • 2021
  • The purpose of this study was to provide an understanding of the trajectories of multidimensional health among older adults, including depression, chronic diseases, and cognitive function. Data were drawn from the 1-6 waves of the Korean Longitudinal Study of Ageing(KLoSA), and a sample of 2,059 respondents aged 65 and older at baseline was used for the analyses. Latent growth curve models and growth mixture models were used to explore the changes in depression, chronic diseases, cognitive function, and heterogeneous trajectories among them. One-way ANOVAs with Scheffé post-hoc analysis and chi-square tests were used to find differences in sociodemographic characteristics, health behaviors, and life satisfaction across the latent trajectory classes. Latent growth curve models revealed that depressive symptoms and the number of chronic diseases increased over time, while cognitive function showed gradual decreases. Three heterogeneous patterns of multidimensional health trajectories were identified: normal aging, increase in chronic diseases, and chronic deterioration. Significant differences were observed in sociodemographic characteristics, health behaviors, and life satisfaction across the three latent classes. In particular, low educational attainment, household income, and life satisfaction were associated with the chronic deterioration class. Based on the findings, we discussed suggestions for health promotion education targeting older adults. This study also emphasizes the importance of home economics education in promoting health literacy across the life course.

Influence of Asthma on the Longitudinal Trajectories of Cigarette Use Behaviors From Adolescence to Adulthood Using Latent Growth Curve Models

  • Bae, Jisuk
    • Journal of Preventive Medicine and Public Health
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    • v.48 no.2
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    • pp.111-117
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    • 2015
  • Objectives: While epidemiologic research indicates that the prevalence of risk-taking behaviors including cigarette smoking among young people with asthma is substantial, the longitudinal patterns of cigarette smoking in this vulnerable population have received little attention. The aim of this study was to evaluate differences in the longitudinal trajectories of cigarette use behaviors from adolescence to adulthood between young people with and without asthma. Methods: Data from the National Longitudinal Study of Adolescent to Adult Health (Add Health) during the years 1994 to 1995 (Wave I, adolescence), 2001 to 2002 (Wave III, young adulthood), and 2007 to 2008 (Wave IV, adulthood) were analyzed (n=12 244). Latent growth curve models were used to examine the longitudinal trajectories of cigarette use behaviors during the transition to adulthood according to asthma status. Results: Regardless of asthma status, the trajectory means of cigarette use behaviors were found to increase, and then slightly decrease from adolescence to adulthood. In total participants, there were no statistically significant differences in initial levels and changes in cigarette use behaviors according to asthma status. However, in select sex and race subgroups (i.e., females and non-whites), former asthmatics showed greater escalation in cigarette use behaviors than did non-asthmatics or current asthmatics. Conclusions: This study indicated that the changing patterns of cigarette use behaviors during the transition to adulthood among young people with asthma are comparable to or even more drastic than those among young people without asthma.

Trajectories of Self-rated Health among One-person Households: A Latent Class Growth Analysis (1인가구의 주관적 건강상태 변화: 잠재계층성장모형을 활용하여)

  • Kim, Eunjoo;Kim, Hyang;Yoon, Ju Young
    • Research in Community and Public Health Nursing
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    • v.30 no.4
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    • pp.449-459
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    • 2019
  • Purpose: The aim of this study is to explore different types of self-rated health trajectories among one-person households in Korea. Methods: We used five time-point data derived from Korea Health Panel (2011~2015). A latent growth curve modeling was used to assess the overall feature of self-rated health trajectory in one-person households, and a latent class growth modeling was used to determine the number and shape of trajectories. We then applied multinomial logistic regression on each class to explore the predicting variables. Results: We found that the overall slope of self-rated health in one-person households decreases. In addition, latent class analysis demonstrated three classes: 1) High-Decreasing class (i.e., high intercept, significantly decreasing slope), 2) Moderate-Decreasing class (i.e., average intercept, significantly decreasing slope), and 3) Low-Stable class (i.e., low intercept, flat and nonsignificant slope). The multinomial logistic regression analysis showed that the predictors of each class were different. Especially, one-person households with poor health condition early were at greater risk of being Low-Stable class compared with High-Decreasing class group. Conclusion: The findings of this study demonstrate that more attentions to one-person households are needed to promote their health status. Policymakers may develop different health and welfare programs depending on different characteristics of one-person household trajectory groups in Korea.

Performance Evaluation of Cochlear Implants Speech Processing Strategy Using Neural Spike Train Decoding (Neural Spike Train Decoding에 기반한 인공와우 어음처리방식 성능평가)

  • Kim, Doo-Hee;Kim, Jin-Ho;Kim, Kyung-Hwan
    • Journal of Biomedical Engineering Research
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    • v.28 no.2
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    • pp.271-279
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    • 2007
  • We suggest a novel method for the evaluation of cochlear implant (CI) speech processing strategy based on neural spike train decoding. From formant trajectories of input speech and auditory nerve responses responding to the electrical pulse trains generated from a specific CI speech processing strategy, optimal linear decoding filter was obtained, and used to estimate formant trajectory of incoming speech. Performance of a specific strategy is evaluated by comparing true and estimated formant trajectories. We compared a newly-developed strategy rooted from a closer mimicking of auditory periphery using nonlinear time-varying filter, with a conventional linear-filter-based strategy. It was shown that the formant trajectories could be estimated more exactly in the case of the nonlinear time-varying strategy. The superiority was more prominent when background noise level is high, and the spectral characteristic of the background noise was close to that of speech signals. This confirms the superiority observed from other evaluation methods, such as acoustic simulation and spectral analysis.

Latent Classes of Depressive Symptom Trajectories of Adolescents and Determinants of Classes (청소년 우울 증상의 변화 궤적에 따른 잠재계층유형 및 영향요인)

  • Kim, Eunjoo
    • Research in Community and Public Health Nursing
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    • v.33 no.3
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    • pp.299-311
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    • 2022
  • Purpose: Untreated depression in adolescents affects their entire life. It is important to detect and intervene early depression in adolescence considering the characteristics of adolescent's depressive symptoms accompanied by internalization and externalization. The aim of this study was to identify latent classes of depressive symptom trajectories of adolescents and determinants of classes in Korea. Methods: The three time-point (2018~2020) data derived from the Korean Children and Youth Panel Survey 2018 were used (N=2,325). Latent Growth Curve Modeling (LGCM) was conducted to explore the depressive symptom trajectories in all adolescents, and Latent Class Growth Modeling (LCGM) was conducted to identify each latent class. Multinomial logistic regression analysis was performed to confirm the determinants of each latent class. Results: The LGCM results showed that there was no statistically significant change in all adolescents' depressive symptoms for 3 years. However, the LCGM results showed that four latent classes showing different trajectories were distinguished: 1) Low-stable (intercept=14.39, non-significant slope), 2) moderate-increasing (intercept=19.62, significantly increasing slope), 3) high-stable (intercept=26.30, non-significant slope), and 4) high-rapidly decreasing (intercept=26.34, significantly rapidly decreasing slope). The multinomial logistic regression analysis showed that the significant determinants (i.e., gender, self-esteem, aggression, somatization, peer relationship) of each latent class were different. Conclusion: When screening adolescent's depression, it is necessary to monitor not only direct depression symptoms but also self-esteem, aggression, somatization symptoms, and peer relationships. The findings of this study may be valuable for nurses and policy makers to develop mental health programs for adolescents.

Prediction of Trajectories of Particles Generated Underneath a Subway Train Running in An Underground Tunnel (지하터널에서 주행하는 전동차의 하부에서 발생한 입자의 이동경로 예측)

  • Lee, Kyung-Ran;Kim, Won-Geun;Yook, Se-Jin;Woo, Sang-Hee;Kim, Jong Bum;Bae, Gwi-Nam;Park, Hyung-Koo;Yoon, HwaHyeon
    • Particle and aerosol research
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    • v.11 no.1
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    • pp.21-28
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    • 2015
  • In this study, the flow around a subway train running in an underground tunnel was numerically estimated. For the validation of the numerical results, the airflow velocity at a point underneath a subway train was measured using an ultrasonic anemometer. Then, the trajectories of particles generated at the contact points between the wheels and rails were numerically predicted. By considering the airflow velocity and particle trajectories, the space underneath the T-Car (trailer car) was expected to be appropriate for the room for the installation of a dust-removal system.

Estimation of PM10 source locations in Busan using PSCF model (PSCF 모델을 활용한 부산지역 PM10의 발생원 추정)

  • Do, Woo-Gon;Jung, Woo-Sik
    • Journal of Environmental Science International
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    • v.24 no.6
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    • pp.793-806
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    • 2015
  • The purpose of this study is to find out the air flow patterns affecting the PM10 concentration in Busan and the potential sources within each trajectory pattern. The synoptic air flow trajectories are classified into four clusters by HYSPLIT model and the potential sources of PM10 are estimated by PSCF model for each cluster from 2008 to 2012. The potential source locations of PM10 are compared with the distribution of PM10 anthropogenic emissions in east Asia developed in 2006 for the NASA INTEX-B mission. The annual mean concentrations of PM10 in Busan decreased from $51ug/m^3$ in 2008 to $43ug/m^3$ in 2012. The monthly mean concentrations of PM10 were high during a spring season, March to May and low during a summer season, August and September. The cluster2 composed of the air trajectories from the eastern China to Busan through the west sea showed the highest frequency, 44 %. The cluster1 composed of the air trajectories from the inner Mongolia region to Busan through the northeast area of China showed the second high frequency, 26 %. The cluster3 and 4 were composed of the trajectories originated in the southeast sea and the east sea of Busan respectively and showed low frequencies. The concentrations of in each cluster were $47ug/m^3$ in cluster1, $56ug/m^3$ in cluster2, $42ug/m^3$ in cluster3 and $37ug/m^3$ in cluster4. From these results, it was proved that the cluster1 and 2 composed of the trajectories originated in the east and northeast area of China were the causes of high PM10 concentrations in Busan. The results of PSCF and CWT model showed that the potential sources of the high PM10 concentrations were the areas of the around Mongolia and the eastern China having high emissions of PM10 from Beijing, Hebei to Shanghai through Shandong, Jiangsu.

Multiple Trajectories of Depressive Symptoms Among Older Adults (노년기 우울의 다중변화궤적에 관한 연구)

  • Kang, Eun-Na;Choi, Jae-sung
    • 한국노년학
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    • v.34 no.2
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    • pp.387-407
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    • 2014
  • This study aims to identify the multiple trajectories of depressive symptoms and the characteristics of each trajectory group among the elderly. This study uses five waves of longitudinal data from the Korean Welfare Panel Study (KWPS, 2006-2010). Subjects were older adults aged 60 and over who had completed at least three waves between 2006 and 2010. A total of 4,181 respondents were analyzed. The latent growth mixture model and the multiple logistic regression model were mainly used for data analysis. The major findings were as follows: After controlling for the variables of gender, age, education, marital status, self-assessed health, and poverty, this study identified four different trajectory classes: stable low depressive symptoms (71.8%), high but decreased depressive symptoms (10.6%), moderate but increased depressive symptoms (7.9%), and an increased, then a decreased pattern of depressive symptoms (9.7%). The characteristics of theses trajectories as compared to previous studies were a lower percentage of 'stable low depressive symptoms', no 'persistently high depressive symptoms', and higher level of depressive symptoms. Also, the elderly in the stable low trajectory group had better health status, higher self-esteem and a good relationship with family members, having longer working periods, and more living in non-poverty. In addition, chronic health problems, loss of spouse, and household income differentiated the increased and then decreased pattern from the low stable pattern. Also, age and public pension differentiated the moderated but increased pattern from the low stable pattern. Based on the findings of this study, the researchers suggested political and practical implications for reducing depressive symptoms in later life.

A Study on Change Trajectories of Self-Rated Health in Middle Aged: Longitudinal Study Using Latent Class Growth Analysis (중·장년기 주관적 건강상태의 변화궤적 유형과 예측요인 탐색: 잠재계층성장분석(LCGA)을 이용한 종단연구)

  • Kim, Ho Jeong;Nam, Seok In
    • 한국노년학
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    • v.39 no.4
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    • pp.941-958
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    • 2019
  • The purpose of this study was to explore change trajectories patterns of Self-Rated Health in middle aged, to identify socioeconomic factors, self-esteem, family relationship factors, and to identify relevant predictors. For this purpose, the 2,418 middle aged, who married couples were extracted from the 2nd to 12st waves of Korea Welfare Panel Survey data. The data analysis included Latent Class Growth Analysis, multiple logistic regression. The change trajectories patterns of self-rated health in middle aged were classified into four types: (1) high state-retained type(46.3%), (2) low state-retained type(19.6%), (3) reduced type(17.5%), (4) increasing type(16.6%). Despite the control of chronic diseases that are closely related to health, when the low state-retained type, which is a crisis group, was set as the reference group for the self-rated health, the economic participation, self-esteem and satisfaction of the family relationship had a more inadequate effect than the high state-retained type. Likewise, when the reduced type, which is a crisis group, was set as the reference group for the self-rated health, the economic participation, self-esteem, satisfaction of the family relationship, and family stress had a more effect than the increasing type. Based on the analysis results, this study suggest political and practical intervention to maintain the proper health, and the details are as follows.