Displaying publications 101 - 120 of 1049 in total

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  1. Thambypillai V
    Soc Sci Med, 1985;21(7):819-23.
    PMID: 4071118 DOI: 10.1016/0277-9536(85)90130-3
    A questionnaire on smoking habits was administered to 4106 Form IV school children in Kuala Lumpur. The period of survey was from 9 to 20 April 1984. 2099 boys and 2007 girls were studied and their mean age was 16.1 years. 32.8% of the students had been initiated to smoking and the mean age of initiation was 13.3 years. The prevalence of smoking was found to be 9.8% and the mean duration of smoking was 2.5 years. Most of the smokers and occasional smokers were boys. About 42% of the smokers wished to stop smoking and only 1% of the non-smokers intended to smoke in the future. The study recommended that health education programmes should be started earlier in school.
    Matched MeSH terms: Age Factors
  2. Hussein Bin Dato Sall, Balasegaram M
    Med J Malaya, 1972 Sep;27(1):43-7.
    PMID: 4264824
    Matched MeSH terms: Age Factors
  3. Alhajj MN, Ariffin Z, Celebić A, Alkheraif AA, Amran AG, Ismail IA
    PLoS One, 2020;15(9):e0239232.
    PMID: 32941532 DOI: 10.1371/journal.pone.0239232
    BACKGROUND: The perception of dentofacial esthetics differs considerably between patients and dentists. Patient's expectations regarding his/her esthetics are important and should be assessed ahead of any planning of esthetic treatment. The aim of this study was to explore the differences in perception of orofacial appearance by laypersons with different social and demographic status.

    MATERIALS AND METHODS: Self-administered questionnaires were distributed to 400 subjects. The questionnaire comprised three parts; the first part addressed the demographic variables. The second part queried about dental prosthesis, orthognathic or plastic surgery, and/or ongoing or previous orthodontic treatment. The third part included the Arabic version of the-8-item Orofacial Esthetic Scale (OES-Ar) whose responses were scored in the 5-point Likert scale. These scores were compared by different grouping factors (age, gender, marital status, and education) using non-parametric Mann-Whitney U and Kruskal Willis tests with 95% confidence interval (α > 0.05).

    RESULTS: A total of 268 questionnaires were eligible for analysis, representing 67% response rate. The satisfaction with facial profile appearance was the highest (4.0±1.1) followed by facial appearance (3.9±1.1), while the color of teeth was the least satisfying item (3.1±1.3). No significant differences were found between age groups for the mean summary score as well as for each item independently. No significant difference was found between both sexes except for the last item "overall impression". Married subjects rated one item (alignment of teeth) better than their counterparts. Positive perception of orofacial appearance increased significantly with the increase of education level, the perception of the oral health status, and the perception of the general health status.

    CONCLUSION: Good oral health and/or high education level are significant determinants of more positive perception of orofacial esthetic appearance. Patients with these characteristics might be more concerned about their orofacial appearance, and this should be taken into consideration before planning any esthetic restorative dental treatment.

    Matched MeSH terms: Age Factors
  4. Ciminelli G, Garcia-Mandicó S
    J Public Health (Oxf), 2020 11 23;42(4):723-730.
    PMID: 32935849 DOI: 10.1093/pubmed/fdaa165
    BACKGROUND: There are still many unknowns about COVID-19. We do not know its exact mortality rate nor the speed through which it spreads across communities. This lack of evidence complicates the design of appropriate response policies.

    METHODS: We source daily death registry data for 4100 municipalities in Italy's north and match them to Census data. We augment the dataset with municipality-level data on a host of co-factors of COVID-19 mortality, which we exploit in a differences-in-differences regression model to analyze COVID-19-induced mortality.

    RESULTS: We find that COVID-19 killed more than 0.15% of the local population during the first wave of the epidemic. We also show that official statistics vastly underreport this death toll, by about 60%. Next, we uncover the dramatic effects of the epidemic on nursing home residents in the outbreak epicenter: in municipalities with a high share of the elderly living in nursing homes, COVID-19 mortality was about twice as high as in those with no nursing home intown.

    CONCLUSIONS: A pro-active approach in managing the epidemic is key to reduce COVID-19 mortality. Authorities should ramp-up testing capacity and increase contact-tracing abilities. Adequate protective equipment should be provided to nursing home residents and staff.

    Matched MeSH terms: Age Factors
  5. Liu X, Huang Y, Liu Y
    PLoS One, 2018;13(12):e0207823.
    PMID: 30566431 DOI: 10.1371/journal.pone.0207823
    Suicide attempts are the most important known predictor of death by suicide. The aim of this study is to examine the prevalence, distribution, and associated factors of suicide attempts among young adolescents in 40 low-income and middle-income countries. We used data from the Global School-Based Student Health Survey (2009-2013) and a nationally representative study in China (2010), which are school-based surveys of students primarily aged 12-18 years that assess health behaviors using an anonymous, standardized, self-reported questionnaire. We calculated the prevalence of suicide attempts in young adolescents from 40 low-income and middle-income countries using the surveys. Multilevel logistic models were used to estimate the associations between suicide attempts and potential risk factors, adjusting for gender, age, school and survey year. Results show that the mean 12-month prevalence of suicide attempts was 17.2%, ranging from 6.7% in Malaysia to 61.2% in Samoa. The overall prevalence of suicide attempts was higher for girls than for boys (18.2% vs 16.2%, P<0.05). Among the suicide attempts, the proportion of suicide attempts with a plan was higher for girls than for boys (62.7% vs 53.2%, P<0.05). Both the prevalence of suicide attempts and the proportion of suicide attempts with a plan increased with age. Factors associated with suicide attempts included poor socioeconomic status, history of bullying, loneliness and anxiety, tobacco and alcohol use, and weak family and social relationships. In conclusion, suicide attempts are frequent among young adolescents in low-income and middle-income countries. Girls and older adolescents tend to make suicide attempts with a plan. The data demonstrate the need to strengthen suicide intervention and prevention programs for young adolescents in low-income and middle-income countries.
    Study name: Global School-Based Student Health Survey (GSHS)
    Matched MeSH terms: Age Factors
  6. Khan AH, Israr M, Khan A, Aftab RA, Khan TM
    Am J Med Sci, 2015 Jun;349(6):505-9.
    PMID: 26030612 DOI: 10.1097/MAJ.0000000000000473
    BACKGROUND: Smoking is a risk factor not only for the development of cancer and coronary heart disease but also for tuberculosis (TB). The aim of this study was to determine the prevalence of smoking in patients with TB, identify demographic and clinical characteristics associated with smoking and to evaluate TB treatment outcomes in the smokers.
    METHOD: A retrospective cohort study of patients with TB was conducted at Khyber Teaching Hospital, Peshawar, Pakistan. All patients with pulmonary and extrapulmonary TB and those coinfected with HIV, hepatitis or diabetes mellitus were included in the study. The patients were categorized into smokers and nonsmokers. Treatment outcomes were evaluated by smear testing at the end of the treatment.
    RESULTS: Of 472 enrolled subjects, 68 (14.4%) were smokers. The prevalence of smoking among male and female patients with TB was 11.8% and 2.5%, respectively. Univariate analysis indicated that the gender, age group and marital status of patients with TB were associated with smoking. The results indicated that patient gender (P = 0.05), age: 15 to 24 years (P = 0.05) and age >55 years (P = 0.004) were risk factors associated with smoking among TB patients. Of the 68 smokers with TB, the treatment outcomes among 54 patients (79.4%) were unsuccessful. The treatment outcomes was statistically significantly associated with smoking (odds ratio: 2.58, P = 0.004).
    CONCLUSIONS: Findings from the current study proved smoking to be one of the main factors associated with the occurrence of TB and significantly reducing the outcomes of TB therapy.
    Matched MeSH terms: Age Factors
  7. Ahammad J, Kurien A, Shastry S, Shah HH, Nayak D, Kamath A, et al.
    Int J Lab Hematol, 2020 Apr;42(2):180-189.
    PMID: 31889401 DOI: 10.1111/ijlh.13148
    INTRODUCTION: Thromboelastography (TEG) is a whole blood clotting assay largely used in major surgeries and trauma to monitor patients' in vivo hemostatic status. Standardization of kaolin-activated citrated whole blood thromboelastography is not done in the Indian population. This study primarily aims to derive reference ranges of kaolin-activated TEG for healthy volunteers in the Indian population. Secondarily, it aims to study the age- and gender-related hemostatic changes in the study population.

    METHODS: A total of 120 healthy volunteers were enrolled (55 adult males, 32 adult females, and 33 children). The volunteers were interviewed for any bleeding history or drug intake which affects coagulation. Kaolin-activated TEG was performed on citrated whole blood, and parameters including R-time, K-time, angle, MA, LY30, and CI were analyzed.

    RESULTS: Derived reference range for total volunteers irrespective of age and sex were as follows: R-time: 3.8-10.6, K-time: 1.2-3.1, angle: 44.9-72.0, MA: 41.2-64.5, LY30: 0-9.9, and CI: -3.7 to 3.4. Statistically significant difference was observed in different age and sex groups for R-time, K-time, and angle. About 40% of the volunteers had at least one abnormal parameter according to the manufacturer's reference range which decreased to 12.5% when the derived reference ranges were considered.

    CONCLUSION: Gender- and age-related variances were observed in reference ranges of our population and which was also differed from the other ethnic population. Many of our healthy volunteers were categorized as coagulopathic when manufacturer's reference range was considered. So, it is important to derive the reference range of the target population before using the TEG into clinical practice.

    Matched MeSH terms: Age Factors
  8. Su YP, Ferraro KF
    J Gerontol B Psychol Sci Soc Sci, 1997 Jan;52B(1):S27-36.
    PMID: 9008679
    Research on health assessments has shown the importance of social relations as a factor influencing health, especially among older people. Drawing upon sociological theories of social integration and social exchange, this research examines two domains of social relations which are expected to influence assessed health. In addition, the study uses a cross-national sample (N = 3,407) of noninstitutionalized older people from the Republic of Korea, Fiji, Malaysia, and the Philippines to determine if modernization conditions the relationships between social relations and health. Results indicate that social integration has a positive effect on subjective health assessments in all nations, whereas social contributions are significant only in Korea. Findings suggest that health assessments by elders in the most modernized nations appear to be much more influenced by the contributions they make to the social order than is the case in nations which are less modernized.
    Matched MeSH terms: Age Factors
  9. Ch'ng CC, Ong LM, Beh KKM, Md Yusuf WS, Chew TF, Lee ML, et al.
    Nephrology (Carlton), 2020 Aug;25(8):644-651.
    PMID: 31900988 DOI: 10.1111/nep.13689
    AIM: Many patients, especially the elderly, who require renal replacement therapies (RRT) have delayed or rejected dialysis for various reasons. Current dialysis guidelines may not be relevant for the elderly or frail patients. We aim to determine survival advantage of initiating dialysis in patients deemed to require RRT.

    METHODS: This was an observational cohort on incident end-stage kidney disease (ESKD) patients from January 1, 2007 to December 31, 2008. The primary outcome was all-cause mortality. Patients contributed person-time from the date of ESKD diagnosis until death, transplant or end of study on December 31, 2014, whichever occurred first. An extended Cox regression model with time-varying exposure to dialysis was used to account for immortal time bias.

    RESULTS: Of 3990 incident ESKD patients included, 70.2% patients initiated dialysis; 78.8% with haemodialysis (HD) while the remaining 21.2% with peritoneal dialysis (PD). Dialysis reduced hazard of death in both elderly and non-elderly patients even after controlling for comorbidities (hazard ratio [HR] 0.58, 95% confidence interval [CI] 0.50, 0.68 and HR 0.76, 95% CI 0.69, 0.85, respectively). HD was protective in both the elderly and non-elderly (HR 0.53, 95% CI 0.45, 0.63 and HR 0.71, 95% CI 0.64, 0.80, respectively). PD significantly reduced risk of death compared to no dialysis in the elderly but not in the non-elderly.

    CONCLUSION: Dialysis improved survival in all incident ESKD patients. The findings suggested a larger protection offered by HD. Although improvement in survival from initiating dialysis was large, its true benefit should take overall quality of life into account. SUMMARY AT A GLANCE This observational study showed that initiation of dialysis improves the survival of end-stage kidney disease (ESKD) patients of all age groups, but the quality of life is an important aspect that has not been explored.

    Matched MeSH terms: Age Factors
  10. Verbrugge L
    Stud Fam Plann, 1973 Jul;4(7):173-83.
    PMID: 4730759 DOI: 10.2307/1965331
    Matched MeSH terms: Age Factors
  11. Sinnathuray TA, Wong WP
    Aust N Z J Obstet Gynaecol, 1972 May;12(2):122-5.
    PMID: 4509097
    Matched MeSH terms: Age Factors
  12. Yusof K
    Med J Malaysia, 1973 Jun;27(4):275-9.
    PMID: 4270785
    Matched MeSH terms: Age Factors
  13. Chandran S, Ooi Eu-sen V
    Med J Malaya, 1971 Mar;25(3):193-7.
    PMID: 4253246
    Matched MeSH terms: Age Factors
  14. Chan KY, Raman A
    Med J Malaya, 1968 Dec;23(2):86-91.
    PMID: 4240826
    Matched MeSH terms: Age Factors
  15. Ngui PW
    Nurs J Singapore, 1978 Nov;18(2):124-6.
    PMID: 253240
    Matched MeSH terms: Age Factors
  16. Parameshvara Deva M
    Med J Malaysia, 1978 Mar;32(3):249-54.
    PMID: 683053
    Matched MeSH terms: Age Factors
  17. Krishnan M, Snelling MR
    Med J Malaya, 1970 Dec;25(2):105-7.
    PMID: 4251129
    Matched MeSH terms: Age Factors
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