Evidence map›Paper›PMID 38689212›Full record

ArticleBMC geriatrics2024

Predictors of basic and instrumental activities of daily living among older adults with multiple chronic conditions.

Azar Jafari-Koulaee, Eesa Mohammadi, Mary T Fox, Aliakbar Rasekhi, Ozra Akha

Open access · goldAbstract read
In one paragraph

Article in BMC geriatrics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
3.1field-weighted citation impact, top 8% of its field
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 3 institutions in 2 countries.

Azar Jafari-KoulaeeDepartment of Nursing, Faculty of Medical Sciences, Tarbiat Modares University, Tehran, Iran.
Eesa MohammadiDepartment of Nursing, Faculty of Medical Sciences, Tarbiat Modares University, Tehran, Iran. mohamade@modares.ac.ir.
Mary T FoxSchool of Nursing, Faculty of Health, York University Centre for Aging Research and Education, York University, Toronto, Ontario, Canada.
Aliakbar RasekhiDepartment of Biostatistics, Faculty of Medical Sciences, Tarbiat Modares University, Tehran, Iran.
Ozra AkhaDepartment of Endocrinology, Diabetes Research Center, Mazandaran University of Medical Sciences, Sari, Iran.
Tarbiat Modares University · IRMazandaran University of Medical Sciences · IRYork University · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundUnderstanding the predictors of functional status can be useful for improving modifiable predictors or identifying at-risk populations. Researchers have examined the predictors of functional status in older adults, but there has not been sufficient study in this field in older adults with multiple chronic conditions, especially in Iran. Consequently, the results of this body of research may not be generalizable to Iran. Therefore, this study was conducted to determine the predictors of functional status in Iranian older adults with multiple chronic conditions.

methodsIn this cross-sectional study, 118 Iranian older adults with multiple chronic conditions were recruited from December 2022 to September 2023. They were invited to respond to questionnaires inquiring about their demographic and health information, basic activities of daily living (BADL) and instrumental activities of daily living (IADL), depression and cognitive status. The predictors included age, gender, marital status, education, number of chronic conditions, and depression. Descriptive and analytical statistical tests (univariate and multiple regression analysis) were used to analyze the data.

resultsThe majority of participants were married (63.9%) and women (59.3%). Based on the results of the multiple regression analysis, age (B=-0.04, P = 0.04), depression (B=-0.12, P = 0.04), and IADL (B = 0.46, P < 0.001) were significant predictors for functional status in terms of BADL. Also, marital status (B=-0.51, P = 0.05), numbers of chronic conditions (B=-0.61, P = 0.002), and BADL (B = 0.46, P < 0.001) were significant predictors for functional status in terms of IADL.

conclusionThe findings support the predictive ability of age, marital status, number of chronic diseases, and depression for the functional status. Older adults with multiple chronic conditions who are older, single, depressed and with more chronic conditions number are more likely to have limitations in functional status. Therefore, nurses and other health care providers can benefit from the results of this study and identify and pay more attention to the high risk older adult population.

Indexed as

Activities of Daily LivingMultiple Chronic ConditionsAgedAged, 80 and overCross-Sectional StudiesDepressionFemaleFunctional StatusGeriatric AssessmentHumansIranMaleMiddle AgedSurveys and QuestionnairesBADLIADLMultiple chronic conditionsOlder adults

Identifiers

PMID38689212
PMCPMC11062009
OpenAlexW4396559233

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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 Socratic graph.