Evidence map›Paper›PMID 34131412›Full record

ArticleJournal of international migration and integration2022

English Language Proficiency Among Older Migrants in Australia, 2016-2046.

Jeromey Temple, Tom Wilson, Bianca Brijnath, Ariane Utomo, Peter McDonald

Abstract read
In one paragraph

Article in Journal of international migration and integration, 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.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Article
  6. Online Health Information-Seeking Behaviours and eHealth Literacy among First-Generation Chinese Immigrants.International journal of environmental research and public health · 2023
    Article
  7. Article
  8. Article
  9. Article
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.

Jeromey TempleDemography and Ageing Unit, Melbourne School of Population and Global Health, University of Melbourne, 207 Bouverie St, Melbourne, Victoria 3010 Australia.ORCID 0000-0002-2819-2863
Tom WilsonDemography and Ageing Unit, Melbourne School of Population and Global Health, University of Melbourne, 207 Bouverie St, Melbourne, Victoria 3010 Australia.ORCID https://orcid.org/0000-0001-8812-7556
Bianca BrijnathNational Ageing Research Institute (NARI), Melbourne, Australia.ORCID https://orcid.org/0000-0002-0536-6859
Ariane UtomoSchool of Geography, Faculty of Science, University of Melbourne, Melbourne, Australia.ORCID https://orcid.org/0000-0003-2314-9513
Peter McDonaldDemography and Ageing Unit, Melbourne School of Population and Global Health, University of Melbourne, 207 Bouverie St, Melbourne, Victoria 3010 Australia.ORCID https://orcid.org/0000-0001-5579-0335

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Australia's population is growing, ageing and exhibiting increasing heterogeneity with respect to birthplace and ethnic composition. Yet, little is understood about the levels of English language proficiency among the next generation of older migrants in Australia. Utilising a modified cohort-component model incorporating detailed language proficiency transition probabilities, we project birthplace populations by levels of English language proficiency to mid-century. Our results show that although Asian-born migrants tend to have lower levels of English proficiency, the majority of older migrants with poor proficiency are currently from a predominantly European background. In the future, we project a strong shift in the population of poor English speakers toward an Asian-born dominance as some European-born migrant groups dwindle in size and cohort flow increases population growth among older Asian migrants. Specifically, most of the population growth among older migrants with poor English proficiency occurs among Chinese and Mainland Southeast Asian migrants. However, we demonstrate that population growth among the total migrant population with poor proficiency is considerably lower than populations with good proficiency or from English-speaking households. Over the projection horizon, the total older migrant population with poor English proficiency increases by under 80,000 compared with an increase of 726,000 with good levels of proficiency and 518,000 in English-speaking households. However, we caution against conflating improved English language proficiency with a policy shift away from ethno-specific aged care services as culture, which is more than language, strongly influences perceptions of quality of aged care.

Indexed as

Culturally and linguistically diverse (CALD)Ethno-specific aged care servicesLanguage proficiencyMigrants to AustraliaPopulation ageing

Identifiers

PMID34131412
PMCPMC8193169

What OpenQuestion holds

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Registered trials

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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.