Objective: To estimate the prevalence and the factors associated with the presence of multimorbidity in the elderly population of the municipality of Ibicuí - BA.
Methods: This study was carried out with 310 elderly individuals, aged > 60 years old, of both sexes, living in the municipality of Ibicuí - BA. Sociodemographic information and personal information, living conditions, life habits, body mass, stature and presence of multimorbidity were collected. The descriptive analysis was used and multimorbidity prevalence ratios were estimated according to variables of interest. As a measure of statistical significance, the qui-quadrado de Pearson test was used, adopting p≤0.05. The multivariate analysis hierarchized by Poisson regression was employed after bivariate analysis to select the independent variables (p<0.20).
Results: The general prevalence of multimorbidity was 80.3%. The hierarchical multi-varied analysis showed the variables of gender and monthly income (p<1.5) were significantly related to the problem. The results reveal also a high prevalence of multimorbidity in the studied population. Mainly women and the poorest suffer from it.
Conclusions: It is necessary to redirect the planning of health actions in the municipality, with changes in the health care policy of the elderly, and especially in the social support networks that support these individuals, considering that in this locality the presence of multimorbidity was related to socio-economic grounds.
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http://dx.doi.org/10.15446/rsap.V21n5.77775 | DOI Listing |
Hum Genomics
January 2025
Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Richards Building B304, 3700 Hamilton Walk, Philadelphia, PA, 19104, USA.
Background: Disease comorbidities and longer-term complications, arising from biologically related associations across phenotypes, can lead to increased risk of severe health outcomes. Given that many diseases exhibit sex-specific differences in their genetics, our objective was to determine whether genotype-by-sex (GxS) interactions similarly influence cross-phenotype associations. Through comparison of sex-stratified disease-disease networks (DDNs)-where nodes represent diseases and edges represent their relationships-we investigate sex differences in patterns of polygenicity and pleiotropy between diseases.
View Article and Find Full Text PDFJ Family Med Prim Care
December 2024
Department of Community Medicine and School of Public Health, Postgraduate Institute of Medical Education and Research, Chandigarh, India.
Background: Multimorbidity development is linked with the age at menopause. Fewer studies are available to support the findings. This study was conducted to find, how multimorbidity is associated with the natural age of menopause.
View Article and Find Full Text PDFJ Clin Nurs
January 2025
Nursing Department, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.
Aims: To classify the unmet integrated care needs of older adults with multimorbidity and to explore the factors associated with different categories of unmet integrated care needs among the target population.
Design: A cross-sectional survey using the statistical method of latent profile analysis.
Methods: From July 2022 to March 2023, 397 older adults with multimorbidity, aged 60 years or older, were recruited from one primary healthcare setting and from four secondary and tertiary hospitals to participate in face-to-face questionnaire surveys.
BMC Public Health
January 2025
Department of Epidemiology and Prevention, Center for Clinical Sciences, National Center for Global Health and Medicine, 1-21-1 Toyama, Shinjuku-ku, Tokyo, 162-8655, Japan.
Background: While previous literature suggests that multimorbidity is linked to a higher risk of mortality, evidence is scarce among individuals in middle adulthood. We aimed to examine the association between physical multimorbidity and all-cause mortality among individuals aged 40-64 years at baseline in Japan.
Methods: Data were obtained from two cohort studies, the Japan Public Health Center-based Prospective Study (JPHC) and the Japan Epidemiology Collaboration on Occupational Health Study (J-ECOH).
Chirurgie (Heidelb)
January 2025
Klinik für Allgemein- und Viszeralchirurgie, Universitätsklinikum Ulm, Albert-Einstein-Allee 23, 89081, Ulm, Deutschland.
Multimorbidity is characterized by the presence of at least 3 chronic diseases with a prevalence of more than 50% of patients over 60 years old. The Charlson comorbidity index (CCI) enables a description of the severity of the multimorbidity and also provides a correlation with the postoperative outcome after liver resection. According to this, multimorbid patients are at increased risk of morbidity and mortality after liver resection, mostly due to postoperative liver failure.
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