Category Ranking

98%

Total Visits

921

Avg Visit Duration

2 minutes

Citations

20

Article Abstract

Aim: The aim of the study was to examine the prevalence and risk factors of falls among persons aged 65 years and older in Qanakkale, Turkey.

Methods: A community based cross-sectional study was conducted between May-September 2013. A total of 1,001 elderly living in Çanakkale city centre were included into our study. The research was carried out with face-to-face interviews and survey forms. The survey form consists of seven sections: demographic characteristics, significance of ageing, daily activities, quality of life and social network in old age, use of health services and health problems, bad habits, and the European Health Impact Scale. Data analysis was performed using the SPSS software version 19.0. For data investigation the chi-square and logistic regression analyses were used.

Results: The prevalence of falls at home or outside was 32.1% among elderly in the last six months period. The prevalence of falling for women at home as well as outside was statistically significantly higher than for men (p < 0.05). According to multivariate analysis results the risk of falling at home or outside was increased by 2.7 times in women (95% CI: 1.90-3.75), by. 2.1 times in those who cannot take care of themselves (95% Cl: 1.33-3.29), and by 1.7 times in those who have low quality of life (95% Cl: 1.24-2.43).

Conclusions: This community based cross-sectional study showed that prevalence of falling was high in aged persons living in centre of Çanakkale located in the western part of Turkey. Moreover, the risk was increased in women, those who cannot take care for themselves, and those with low standard of living.

Download full-text PDF

Source
http://dx.doi.org/10.21101/cejph.a4053DOI Listing

Publication Analysis

Top Keywords

community based
12
based cross-sectional
12
cross-sectional study
12
prevalence falls
8
risk factors
8
quality life
8
prevalence falling
8
prevalence
5
study
5
falls associated
4

Similar Publications

Importance: The efficacy of home end-of-life care in enhancing the quality of life for terminally ill patients and families has been well documented. While previous studies have explored perspectives on quality home palliative care and end-of-life care in several countries, limited knowledge exists regarding its specific components in the Chinese context.

Objective: To explore the core elements that constitute quality home end-of-life care in China.

View Article and Find Full Text PDF

Background: People with dementia who have a fall can experience both physical and psychological effects, often leading to diminished independence. Falls impose economic costs on the healthcare system. Despite elevated fall risks in dementia populations, evidence supporting effective home-based interventions remains limited.

View Article and Find Full Text PDF

Thirty years of SPM-BrainMap synergy: making and mining coordinate-based literature.

Cereb Cortex

August 2025

Research Imaging Institute, University of Texas Health Science Center at San Antonio, 8403 Floyd Curl Drive, San Antonio, TX 78229, United States.

Statistical Parametric Mapping (SPM) adheres to rigorous methodological standards, including: spatial normalization, inter-subject averaging, voxel-wise contrasts, and coordinate reporting. This rigor ensures that a thematically diverse literature is amenable to meta-analysis. BrainMap is a community database (www.

View Article and Find Full Text PDF

What are we missing? What are we assuming? The need to foster feature discovery tools to improve statistical models.

Cereb Cortex

August 2025

Section on Functional Imaging Methods & Functional MRI Core Facility, National Institute of Mental Health, 10 Center Drive, Rm 1D80, Bethesda, MD 20892, United States.

Statistical Parametric Mapping (SPM) has been profoundly influential to neuroimaging as it has fostered rigorous, statistically grounded structure for model-based inferences that have led to mechanistic insights about the human brain over the past 30 years. The statistical constructs shared with the world through SPM have been instrumental for deriving meaning from neuroimaging data; however, they require simplifying assumptions which can provide results that, while statistically sound, may not accurately reflect the mechanisms of brain function. A platform that fosters the exploration of the rich and varying neuronal and physiologic underpinnings of the measured signals and their associations to behavior and physiologic measures needs a different set of tools.

View Article and Find Full Text PDF