RISS 학술연구정보서비스

검색
다국어 입력

http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.

변환된 중국어를 복사하여 사용하시면 됩니다.

예시)
  • 中文 을 입력하시려면 zhongwen을 입력하시고 space를누르시면됩니다.
  • 北京 을 입력하시려면 beijing을 입력하시고 space를 누르시면 됩니다.
닫기
    인기검색어 순위 펼치기

    RISS 인기검색어

      검색결과 좁혀 보기

      선택해제
      • 좁혀본 항목 보기순서

        • 원문유무
        • 원문제공처
        • 등재정보
        • 학술지명
        • 주제분류
        • 발행연도
        • 작성언어
        • 저자
          펼치기

      오늘 본 자료

      • 오늘 본 자료가 없습니다.
      더보기
      • 무료
      • 기관 내 무료
      • 유료
      • KCI등재

        Modeling Survival in Patients With Brain Stroke in the Presence of Competing Risks

        Norouzi, Solmaz,Jafarabadi, Mohammad Asghari,Shamshirgaran, Seyed Morteza,Farzipoor, Farshid,Fallah, Ramazan The Korean Society for Preventive Medicine 2021 Journal of Preventive Medicine and Public Health Vol.54 No.1

        Objectives: After heart disease, brain stroke (BS) is the second most common cause of death worldwide, underscoring the importance of understanding preventable and treatable risk factors for the outcomes of BS. This study aimed to model the survival of patients with BS in the presence of competing risks. Methods: This longitudinal study was conducted on 332 patients with a definitive diagnosis of BS. Demographic characteristics and risk factors were collected by a validated checklist. Patients' mortality status was investigated by telephone follow-up to identify deaths that may be have been caused by stroke or other factors (heart disease, diabetes, high cholesterol, etc.). Data were analyzed by the Lunn-McNeil approach at alpha=0.1. Results: Older age at diagnosis (59-68 years: adjusted hazard ratio [aHR], 2.19; 90% confidence interval [CI], 1.38 to 3.48; 69-75 years: aHR, 5.04; 90% CI, 3.25 to 7.80; ≥76 years: aHR, 5.30; 90% CI, 3.40 to 8.44), having heart disease (aHR, 1.65; 90% CI, 1.23 to 2.23), oral contraceptive pill use (women only) (aHR, 0.44; 90% CI, 0.24 to 0.78) and ischemic stroke (aHR, 0.52; 90% CI, 0.36 to 0.74) were directly related to death from BS. Older age at diagnosis (59-68 years: aHR, 21.42; 90% CI, 3.52 to 130.39; 75-69 years: aHR, 16.48; 90% CI, 2.75 to 98.69; ≥76 years: aHR, 26.03; 90% CI, 4.06 to 166.93) and rural residence (aHR, 2.30; 90% CI, 1.15 to 4.60) were directly related to death from other causes. Significant risk factors were found for both causes of death. Conclusions: BS-specific and non-BS-specific mortality had different risk factors. These findings could be utilized to prescribe optimal and specific treatment.

      • Determinants of Cervical Cancer Screening Uptake in Kurdish Women Living in Western Iran, 2014

        Aminisani, N,Fattahpour, R,Abedi, L,Shamshirgaran, SM Asian Pacific Journal of Cancer Prevention 2016 Asian Pacific journal of cancer prevention Vol.17 No.8

        Background: Cervical cancer is the second most common cancer among females across the world. It is a preventable cancer and early detection is very feasible. This study aimed to identify which women characteristics are potentially associated with and may have an important in uence on the uptake of cervical cancer screening in Kurdish women living in the west of Iran.. Materials and Methods: A cross sectional study was conducted in late 2014. A random sample of women aged 40 years and above without history of cervical cancer and identi ed as Kurdish background were selected and interviewed by two trained interviewers. Information about sociodemographic and reproductive factors, history of diseases, and cervical screening was collected using a questionnaire and women who had undergone a hysterectomy were excluded. Univariate analyses were used to describe the general characteristics of the study population. Multivariable logistic regression models with self-reported screening history were used to estimate odds ratios (ORs) with 95% con dence intervals (CI). Signi cance was considered at the 5% level. Results: A total of 561 women were included in this study (mean age $43.6{\pm}5.17$ years) participation in cervical screening at least once was about 32%. Cervical screening uptake percentage was signi cantly lower among people over 60 years of age (adjusted OR= 0.26, 95% CI: 0.11-0.64), and those who were illiterate (OR= 0.41 95% CI: 0.23-0.73) and post-menopausal (OR= 0.56, 95% CI: 0.35-0.91). Women with ${\leq}1$ child were less likely to report a Pap test (adjusted OR=0.43 95%CI: 0.13-1.37) Cervical screening uptake was higher among women with health insurance (OR= 2.31, 95% CI: 1.50-3.56). Conclusions: Cervical screening participation in this study was low compared to other studies in developed countries. The screening uptake was different based on age, education, parity, insurance coverage and menopausal status. It is recommended to target these groups of women in cervical screening program.

      • KCI등재

        Socio-demographic and lifestyle factors associated with multimorbidity in New Zealand

        Nayyereh Aminisani,Christine Stephens,Joanne Allen,Fiona Alpass,Seyed Morteza Shamshirgaran 한국역학회 2020 Epidemiology and Health Vol.42 No.-

        OBJECTIVES: The incidence of multimorbidity (MM) and its correlates among older adults remain poorly understood. This study aimed to examine the socio-demographic and lifestyle factors associated with MM in New Zealand. METHODS: People aged 55-70 years were invited to participate in a population-based cohort study, the Health Work and Retirement Study, in 2006. Those who accepted the invitation and completed the baseline questionnaire were followed up on a biennial basis. Data on socio-demographic factors, health and lifestyle behaviours, and diagnoses of chronic diseases were obtained from baseline and 6 waves of follow-up. Generalised estimating equations (GEE) adjusted for both time-constant and time-varying factors were used to model factors associated with the onset of MM. RESULTS: A total of 1,673 participants (with 0 or 1 chronic condition) contributed to an overall 8,616 person-years of observation. There were 590 new cases of MM over 10 years of follow-up, corresponding to an overall incidence of 68.5 per 1,000 person-years. The results of the age- and sex-adjusted GEE analysis showed that age, ethnicity, living alone, obesity, hypertension, and having 1 chronic condition at baseline were significant predictors of MM onset. Higher education, income, physical activity, and regular alcohol consumption were protective factors. In a fully adjusted model, marital status (odds ratio [OR], 1.18; 95% confidence interval [CI], 1.01 to 1.37; p=0.039), hypertension (OR, 1.23; 95% CI, 1.02 to 1.48; p=0.032) and having 1 chronic condition at baseline (OR, 2.92; 95% CI, 2.33 to 3.67; p<0.001) remained significant. CONCLUSIONS: The higher incidence of MM among Māori people, socioeconomically disadvantaged groups, those with low physical activity, and obese individuals highlights the importance of targeted prevention strategies.

      연관 검색어 추천

      이 검색어로 많이 본 자료

      활용도 높은 자료

      해외이동버튼