Evidence map›Paper›PMID 35883051›Full record

ArticleBMC geriatrics2022

Rising living alone among the elderly in Iran: prevalence and associated factors.

Mehri Shams Ghahfarokhi

Abstract read
In one paragraph

Article in BMC geriatrics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
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

9 citing papers in PubMed.

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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

1 author.

Mehri Shams GhahfarokhiDepartment of Social Sciences, University of Isfahan, Isfahan, Iran. m.shams@ltr.ui.ac.ir.ORCID 0000-0003-3743-8543

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis study first examines the pattern and trend of elderly living alone during the last five censuses in Iran. Then, after describing the characteristics of the elderly who live alone, it determines how social, economic, and demographic characteristics relate to the solo living of the elderly.

methodsThe data for people aged 60 and above are from two sources, including the aggregate data from five successive Iranian censuses and the individual data of 2% of the 2016 Iranian census. To determine the relative importance of variables such as sex, age, education, and activity status of the elderly, a set of logistic regression models using STATA software has been used for individual data analysis of the 2016 census.

resultsThe proportion of older people living alone in 1986, 1996, 2006, 2011, and 2016 was 9.1, 9.0, 10.9, 14.5, and 14.9%, respectively. City residents are less likely to live alone than villagers, and women are more likely to live alone than men. The odds of living solo among Illiterate, Primary school, Secondary & High school and Holding a high school diploma elderly higher than those with university education. Being a student and homemaker increases solo living relative to employees, but pensioners reduce solo living relative to employees. Moreover, the odds of solo living of the elderly in the early and middle stages of old age is less than in late old age. Also, the variables included in the analysis explained 16% of the variation in solo living.

conclusionThe prevalence of elderly solo living is increasing. And this increase continues due to the fundamental decline in childbearing, changes in family structure, and the effects of culture and tradition. Also, due to the rise in life expectancy, which increases the number of years of life with the disease, and disability, the lack of relief organizations will create more difficult conditions for the older people living alone.

Indexed as

Home EnvironmentPersons with DisabilitiesAgedFemaleHumansIranLife ExpectancyMalePrevalenceElderlyLiving aloneLiving arrangementsPrevalenceSolo living

Identifiers

PMID35883051
PMCPMC9327280

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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.