ArticleJournal of family medicine and primary care2020
A study of morbidity profile among geriatric population in Uttarakhand: A community based cross-sectional study.
Article in Journal of family medicine and primary care, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
5 citing papers in PubMed.
- Depression as a Consequence of Presbycusis: A Study From a Government Tertiary Care Center in Uttarakhand.Cureus · 2025Article
- A study on morbidity patterns among geriatric age group population in urban field practice area of Department of Community Medicine, Guntur Medical College, Guntur.Journal of family medicine and primary care · 2025Article
- Prevalence and predictors of multimorbidity in older adults, a community-based cross-sectional study.Journal of family medicine and primary care · 2024Article
- Article
- Prevalence of chronic morbidities and healthcare seeking behavior among urban community dwelling elderly population residing in Kalyani Municipality area of West Bengal, India.Journal of family medicine and primary care · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
contextPopulation of elderly in India is growing day by day. Elderly population of India is 8.6% and in Uttarakhand it is 8.9%. Health needs of geriatric people differs from others. This study was an attempt to study the morbidity profile of geriatric people that may serve as a baseline data and also help in planning the health services.
aimsTo study Morbidity profile of geriatric population in Uttarakhand. SETTINGS AND
designA community-based cross-sectional study was conducted among geriatric people in rural and urban areas of Uttarakhand. Study participants aged 60 years and above were included in the study and a sample size of 400 was calculated. METHODS AND MATERIALS: Predesigned, pretested and semistructured questionnaire was used to collect information on sociodemographic characteristics and morbidity status of study participants. STATISTICAL ANALYSIS USED: Data was entered into excel sheets and analyzed using SPSS version 23 utilizing appropriate statistical methods.
resultsAmong 400 elderly people most common organ system affected was musculoskeletal (77.20%). Other commonly affected health systems were psychological (75.90%), digestive (73.60%), eye (56.67%), endocrine (35.90%), cardiovascular (33.08%), general and unspecified health problems (32.05%), ear (24.62%) and respiratory system (19.74%). Very few elderlies had neurological (6.67%) and urological (1.28%) problems.
conclusionsAs shown in the present study very high percentage of morbidities were found in the study population. As a result, there is a need to further strengthen existing geriatric health care services at primary, secondary and tertiary level.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.