Aging is a complex, multifactorial, and inevitable process, which begins before birth and continues throughout the life. Multimorbidity prevailing among the geriatric population is an important health challenge for most of the developing countries. To examine the effect of gender and increasing age on the survival of the geriatric population suffering from multimorbidity. A cross-sectional study was conducted among the geriatric population of the Jammu district, J and K, using multistage sampling procedure, and the analysis was conducted using the Kaplan-Meier method and survival analysis using software IBM SPSS version 24.0. Our study included 1150 study subjects, of whom 610 (53%) were males and 540 (47%) were females, respectively. It was indicated that the probability for the survival of the study population suffering from morbidity belonging to 60-64 years was higher than the survival of the geriatric population belonging to other age-groups or we can say that survival probability of the geriatric population suffering from morbidities decreases with the increase in age. Also, it was reported that probability for the survival of the female geriatric population suffering from morbidity was slightly higher than the survival of the male geriatric population. Gender had no significant effect on survival of the geriatric population suffering from morbidities, whereas baseline age had a significant effect on the survival of the geriatric population suffering from morbidities as their survival probability decreases with the increase in age.
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http://dx.doi.org/10.4103/ijcm.ijcm_904_22 | DOI Listing |
BMC Public Health
January 2025
Department of Social Work, Hong Kong Baptist University, Hong Kong, China.
Background: The COVID-19 pandemic has had profound psychophysiological and socioeconomic effects worldwide. COVID-19 anxiety syndrome (CAS) is a specific cluster of maladaptive coping strategies, including perseveration and avoidance behaviours, in response to the perceived threat and fear of COVID-19. CAS is distinct from general COVID-19 anxiety.
View Article and Find Full Text PDFBMC Geriatr
January 2025
Emergency Department, Beaujon Hospital AP-HP, Clichy, France.
Background: The worldwide population is ageing and self-arm can be prevented with many techniques. Among them coercive measure consisting of physical restraint (PR) is one of the techniques. This study aims to assess the effects of the biological sex on the long-term survival after PR in geriatric patients during the initial emergency department (ED) visit.
View Article and Find Full Text PDFJ Cancer Surviv
January 2025
Department of Biostatistical Sciences, Wake Forest University School of Medicine, Winston-Salem, NC, USA.
Purpose: This feasibility study estimated accrual, retention, adherence, and summarized preliminary efficacy data from a stepped-care telehealth intervention for cancer survivors with moderate or severe levels of anxiety and/or depressive symptoms.
Methods: Participants were randomized to intervention or enhanced usual care (stratified by symptom severity). In the intervention group, those with moderate symptoms received a cognitive-behavioral therapy (CBT) workbook/6 bi-weekly check-in calls (low intensity) and severe symptoms received the workbook/12 weekly therapy sessions (high intensity).
J Oral Rehabil
January 2025
Department of Removable Prosthodontics and Gerodontology, Osaka University Graduate School of Dentistry, Suita, Japan.
Background: Smoking is presumed to cause a decline in masticatory performance by worsening the intraoral environment in various ways. However, no longitudinal study has examined the relationship between smoking and masticatory performance.
Objectives: To clarify how smoking affects future decline in masticatory performance through a 5-year follow-up study of a general urban population.
Introduction: Physical Activity (PA) and its links to frailty, quality of life (QoL), and other comorbidities in older Ugandans living with HIV remain under-explored.
Methods: We analyzed data from three annual assessments of older people living with HIV (PLWH) and age- and sex-similar people not living with HIV (PnLWH). We fitted linear generalized estimating equations (GEE) regression models to estimate the correlates of PA, including demographics, frailty, QoL, HIV, and other comorbidities.
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