• 제목/요약/키워드: Stepwise Regression Analysis

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Psychosocial Factors and Health Behaviors in Elderly People

  • Park, Mi-Kyoung
    • 보건교육건강증진학회지
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    • 제20권4호
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    • pp.1-11
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    • 2003
  • The main purposes of this study were to investigate the content of health behaviors and to examine factors influencing the health behaviors of the elderly. Data regarding the health behavior of 126 people over 65 years of age living in community settings were used. All subjects were interviewed using a semi-structured questionnaire. The questionnaire consisted of sociodemographic variables, health behaviors, present chronic disease, subjective health status, a scale for worthy life, a scale for self-esteem, and a scale for loneliness. Health behaviors included 27questions on diet, exercise, stress-coping, smoking, drinking, a regular medical check-up, social activities, etc. The data analysis procedure included stepwise regression using health behavior as the dependent variable, and sociodemographics, illness, and psychosocial variables as independent variables. Stepwise regression revealed that factors such as feelings of worthy life($\beta$=-0.350, p<0.0001), communicating with otjers or the lack there of ($\beta$=0.183, p<0.05), and self-esteem($\beta$=0.196, p<0.05) were independently and significantly associated with health behaviors. For example, individuals who showed higher levels of worthy life and who had confiding relationships with others tended to practice more health behaviors. Subjects who had a higher level of self-esteem showed the same tendency. These results suggest the necessity of a intervention that considers psychosocial aspects should be included in care of the elderly so as to promote positive health behavior.

중국에 거주하는 한국인 유학생의 건강증진행위에 영향을 미치는 요인 (Factors Influencing Health Promotion Behavior of Korean Students in China)

  • 박성주;최순희
    • 기본간호학회지
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    • 제13권2호
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    • pp.269-274
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    • 2006
  • Purpose: This study was done to examine the level of performance and predictors influencing health promotion behavior of Korean students in China. Method: The participants were 160 Korean students who have lived in Beijing, China. Data were collected by self reporting questionnaire from september to november, 2001 and t-test, ANOVA, Person's correlation coefficients, and stepwise multiple regression were used to analyze the data. Results: The health promotion behavior score showed a positive correlation with perceived health status(r=.17, p=.025), social support(r=.29, p=.0001), and self-efficacy(r=.41, p=.0001). By use of stepwise multiple regression analysis, it was determined that the main factors influencing health promotion behavior were self-efficacy 17.0%(F=32.56, p=.0001) and social support 2.2%(F=4.11, p=.044). These variables explained 19.2% of the variance in the health promotion behavior scores. Conclusion: Self-efficacy and social support were the main factors influencing health promotion behavior. These findings showed that we need to develop nursing strategies to promote self-efficacy and social support for Korean students in China.

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알레르기 질환이 있는 청소년의 삶의 만족도 영향요인의 융합연구 (A Convergence Study of Factors Affecting Life Satisfaction for Adolescents with Allergic Disease)

  • 이은지
    • 한국융합학회논문지
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    • 제10권3호
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    • pp.355-362
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    • 2019
  • 본 연구는 천식이나 아토피 피부염이 있는 청소년의 삶의 만족도에 영향을 미치는 요인을 알아보기 위하여 실시하였다. 자료는 2016년 한국아동청소년패널조사(Korean Child and Youth Panel Survey; KCYPS) 자료를 이용하였고, 자료분석은 교차분석, t-test, 일원분산분석, 단계적 다중회귀분석을 실시하였다. 단계적 다중회귀분석결과 덜 우울할수록, 자아존중감과 자아탄력성이 높을수록, 연령이 적을수록, 부모의 양육태도가 애정적일수록 알레르기 질환이 있는 청소년의 삶의 만족도가 높아졌다. 지속적인 증상관리가 필요한 알레르기 질환이 있는 청소년의 삶의 만족도를 높이기 위해서는 부모가 애정적 양육태도를 취하고, 자녀에게 적절한 선택권을 부여하고, 긍정적이고 지지적인 관계를 유지하며, 우울감을 관리하기 위한 적절한 교육 프로그램을 제공하는 것이 필요하다.

텍스트 마이닝을 이용한 건강검진 수요 예측 (Prediction of Physical Examination Demand Using Text Mining)

  • 박경보;김미량
    • 한국IT서비스학회지
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    • 제21권5호
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    • pp.95-106
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    • 2022
  • Recently, physical examinations have become an important strategy to reduce costs for individuals and society. Pre-physical counseling is important for an effective physical examination. However, incomplete counseling is being conducted because the demand for physical examinations is not predicted. Therefore, in this study, the demand for physical examination was predicted using text mining and stepwise regression. As a result of the analysis, the most recent text data showed a high explanatory power of the demand for physical examination. Also, large amounts of data have high explanatory power. In addition, it was found that the high frequency of the text "health food" reduces the number of health examination customers. And the higher the frequency of the text of the word "food", the lower the number of physical examination customers. However, when the word "wild ginseng" was exposed a lot on Twitter, the number of physical examination customers visiting hospitals increased. In other words, customers consume efficiently by comparing the health examination price with the price of consumer goods. The proposed research framework can help predict demand in other industries.

Factors influencing postpartum depression in Saudi women: a cross-sectional descriptive study

  • Amira Alshowkan;Emad Shdaifat
    • 여성건강간호학회지
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    • 제30권2호
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    • pp.164-173
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    • 2024
  • Purpose: This study aimed to investigate the prevalence of postpartum depression (PPD) and stress, as well as factors influencing PPD, among women in Saudi Arabia. Methods: This study employed a cross-sectional online survey and recruited participants during postpartum visits to the Clinic of Gynecology and Obstetrics in Al-Khobar, Saudi Arabia. Data collection was done using Arabic versions of the Edinburgh Postnatal Depression Scale, Perceived Stress Scale, and a sociodemographics and obstetric history questionnaire. Descriptive and inferential analyses were conducted, including multiple linear regression using a stepwise method. Results: Data from the 270 participants showed low levels of postpartum depressive symptoms with a mean score of 2.54±4.5 and low levels of perceived stress with a mean score of 2.49±6.2. While 94.4% of the participants reported low levels of stress and PPD, 5.6% reported elevated levels (≥10 for PPD, ≥14 for stress). The stepwise regression analysis showed significant results (p<.001), accounting for 34% of the variance in PPD. The factors significantly influencing PPD included the type of family, stress, number of abortions, disease during pregnancy, and family income. Importantly, perceived stress emerged as a factor influencing PPD. Conclusion: Although the majority of participants exhibited low levels of PPD, about 1 in 18 showed elevated levels. The identification of significant influencing factors highlights the need for targeted interventions to effectively address mental health concerns in postpartum women.

韓國河川의 月 流出量 推定을 위한 地域化 回歸模型 (Regionalized Regression Model for Monthly Streamflow in Korean Watersheds)

  • 김태철;박성우
    • 한국농공학회지
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    • 제26권2호
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    • pp.106-124
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    • 1984
  • Monthly streanflow of watersheds is one of the most important elements for the planning, design, and management of water resources development projects, e.g., determination of storage requirement of reservoirs and control of release-water in lowflow rivers. Modeling of longterm runoff is theoretically based on water-balance analysis for a certain time interval. The effect of the casual factors of rainfall, evaporation, and soil-moisture storage on streamflow might be explained by multiple regression analysis. Using the basic concepts of water-balance and regression analysis, it was possible to develop a generalized model called the Regionalized Regression Model for Monthly Streamflow in Korean Watersheds. Based on model verification, it is felt that the model can be reliably applied to any proposed station in Korean watersheds to estimate monthly streamflow for the planning, design, and management of water resources development projects, especially those involving irrigation. Modeling processes and properties are summarized as follows; 1. From a simplified equation of water-balance on a watershed a regression model for monthly streamflow using the variables of rainfall, pan evaporation, and previous-month streamflow was formulated. 2. The hydrologic response of a watershed was represented lumpedly, qualitatively, and deductively using the regression coefficients of the water-balance regression model. 3. Regionalization was carried out to classify 33 watersheds on the basis of similarity through cluster analysis and resulted in 4 regional groups. 4. Prediction equations for the regional coefficients were derived from the stepwise regression analysis of watershed characteristics. It was also possible to explain geographic influences on streamflow through those prediction equations. 5. A model requiring the simple input of the data for rainfall, pan evaporation, and geographic factors was developed to estimate monthly streamflow at ungaged stations. The results of evaluating the performance of the model generally satisfactory.

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1차 동저항 패턴의 통계적 분석에 의한 저항 점 용접의 용접 품질 예측에 관한 연구 (Weld Quality Assurance Method using Statistical Analysis of Primary Dynamic Resistance During Resistance Spot Welding)

  • 조용준;이세현
    • 대한기계학회논문집A
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    • 제24권10호
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    • pp.2581-2588
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    • 2000
  • In previous studies, the dynamic resistance, which was calculated by the process variables measured at the electrode of the welding machine, and the electrode displacement were used for quality exa mination. However, in-process usage of such systems is not effective in systems that include a welding gun attached to a robot. In order to overcome such problems, we obtained and used the process variables from the welding machine timer. This would allow us to estimate real time in -process weld quality. For quality estimation, the features were extracted as factors from the primary dynamic resistance patterns, which were measured in t he welding machine timer. The relationship between the indexes and nugget size of the welds was observed through the regression analysis. Using the analyzed factors, a regression model that could estimate nugget diameter was developed. Two regression equations of the model were suggested depending on the factors, and it was showed that the model developed by stepwise method was effective one for weld quality estimation. The developed estimation model was in good linearity with the nugget diameter obtained through the experimentation.

수박 내부결함판정을 위한 휴대형 압전형 장갑 센서시스템 (Portable Piezoelectric Film-based Glove Sensor System for Detecting Internal Defects of Watermelon)

  • 최동수;이영희;최승렬;김학진;박종민
    • Journal of Biosystems Engineering
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    • 제33권1호
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    • pp.30-37
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    • 2008
  • Dynamic excitation and response analysis is an acceptable method to determine some of physical properties of agricultural product for quality evaluation. There is a difference in the internal viscoelasticity between sound and defective fruits due to the difference of geometric structures, thereby showing different vibration characteristics. This study was carried out to develop a portable piezoelectric film-based glove sensor system that can separate internally damaged watermelons from sound ones using an acoustic impulse response technique. Two piezoelectric sensors based on polyvinylidene fluoride (PVDF) films to measure an impact force and vibration response were separately mounted on each glove. Various signal parameters including number of peaks, energy ratio, standard deviation of peak to peak distance, zero-crossing rate, and integral value of peaks were examined to develop a regression-estimated model. When using SMLR (Stepwise Multiple Linear Regression) analysis in SAS, three parameters, i.e., zeros value, number of peaks, and standard deviation of peaks were selected as usable factors with a coefficient of determination ($r^2$) of 0.92 and a standard error of calibration (SEC) of 0.15. In the validation tests using twenty watermelon samples (sound 9, defective 11), the developed model provided good capability showing a classification accuracy of 95%.

다문화 구성원의 의료만족도에 영향을 미치는 요인 (Factors Affecting on Medical Satisfaction in Multicultural Members)

  • 안성신;장미화
    • 한국산학기술학회논문지
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    • 제21권9호
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    • pp.199-209
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    • 2020
  • 본 연구는 다문화 구성원의 의료만족도에 영향을 미치는 요인을 파악하고 이에 대한 통합적 이해를 바탕으로 다문화 구성원의 의료서비스 개선 및 보건의료 지원 사업에 필요한 기초자료를 제공하기 위한 서술적 조사연구이다. 연구 자료는 경기도 A시 소재의 외국인 근로자 센터와 다문화 센터 이용자 301명을 대상으로 2019년 9월1부터 11월30일까지 수집하였으며 수집된 자료는 t-test, ANOVA, Multiple linear regression으로 분석하였다. 의료진, 의료환경, 진료비용에 대한 만족도를 살펴보면 의료진에 대한 만족도의 평균은 3,65로 가장 높았고, 의료환경의 평균은 3.55, 진료비용의 평균은 3.08순으로 나타났다. 의료진에 대한 만족도에 영향을 주는 요인은 나이와 건강보험이었으며, 이에 대한 설명력은 28%로 나타났다. 의료환경에 대한 만족도는 나이와 직업이었으며, 이에 대한 설명력은 17%로 나타났다. 진료비용에 대한 만족도는 다문화 형태, 교육수준, 직업이었으며, 이에 대한 설명력은 33%로 나타났다. 이상의 결과로 다문화 구성원의 건강문제를 해결하고 보건의료 향상을 위해서는 다문화 구성원의 건강상태 및 건강행위와 관련된 보건의료이용실태 및 만족도를 살펴보고 의료이용 만족도를 높일 수 있는 전략과 프로그램을 개발하고 제공하여야 한다.

팥 포장출현력 예측을 위한 종자세 검사 (Application of Seed Vigor Test for Predicting Field Emergence in Azuki Bean (Vigna angularis Wight))

  • 정관석;나영왕;심상인;김석현
    • 한국작물학회지
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    • 제59권3호
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    • pp.341-349
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    • 2014
  • 경실로 인해 다른 두과작물에 비해 포장 입묘가 불량한 팥의 포장출현율의 효과적인 예측 방법을 개발하기 위해 인위로 노화 정도를 조절한 종자에 대해 실험실에서 몇 가지 종자세 검사를 실시하여 포장출현력과 비교하였다. 얻어진 종자세 지표들에 대해 포장출현력과의 상관분석을 통해 예측을 위한 효율적인 지표들을 도출하였다. 팥에서 종자세가 높을 경우에는 표준발아검사에서의 종자활력률이 포장출현력 예측에 효과적이며, 약간 노화된 종자의 경우에는 저온발아검사(CGT)에서의 비정상묘율과 배축의 길이는 포장출현력과 높은 상관관계를 보였으며, 전기전도도와 CSVT에서의 활력률과 테트라졸리움 검사에서 종자세와 예측발아율은 포장출현력과 5% 수준에서 상관관계가 인정되었다. 종자세가 낮은 종자에서는 CSVT에서 불발아종자율이 포장출현력과 5% 수준에서 상관을 보였다. 포장출현력 예측에 효과적인 몇 가지 종자세지수를 이용하여 stepwise multiple regression 분석을 실시한 결과 테트라졸리움(TZ) 검사에서의 예측발아율은 결정계수($R^2$)가 0.820으로 포장출현력 예측에 가장 효과적인 검사방법임을 알 수 있었다. 표준발아검사(SGT)에서의 종자활력률, 저온발아검사(CGT)에서의 정상묘율과 건물중을 회귀방정식에 추가함에 따라 86.9% 까지 포장출현력 예측효율을 증가시킬 수 있었다.