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Indicators and Index of Elderly Well-Being to Support an Age–Friendly City

Jurnal Ners · Vol. 15 No. 1 (2020) · pp. 19–25

DOI
10.20473/jn.v15i1.16683
ISSN
2502-5791, 1858-3598
Published
2020-03-25
Publisher
Universitas Airlangga
Language
eng

Abstract

Introduction: Increasing the life expectancy of the elderly raises complex problems concerning the life aspects of the elderly, family, community, and government. A well-being indicator for the elderly is needed as a measurement tool to facilitate Indonesian elderly individuals to becoming more prosperous. The purpose of this study was to develop well-being indicators and to formulate the elderly well-being Index.Methods: This study used an explanatory research design with a quantitative approach. In total, 400 respondents were collected using multistage random sampling. The physical well-being variable used the Mini-Mental State Examination (MMSE) instrument, Barthel's index, and the Disease Complaint questionnaire. In addition, a psychology and social well-being instrument, social well-being instrument, and spiritual instrument were employed. Confirmatory Factor Analysis was used to verify the factor structure of all of the observed variables.Results: The results showed that the indicators for elderly well-being are demographic with the following factor loading: (λ) 0.32, social environment (λ)=0.51, health services (λ)=0.55, physical well-being (λ=0.36 psychological well-being (λ)=0.46, social well-being (λ)=0.45 and spiritual well-being (λ)=0.50. The indicators and index can be used as an effort to drive the program, so then the elderly can become productive, prosperous, and meaningful.Conclusion: The elderly well-being index is expected to be a programmatic instrument that can measure and evaluate the welfare of the elderly. This will increase the elderly health program that is available to achieve more holistic well-being and an age-friendly city.

Keywords

Collaboration network of the authors

40 authors · 107 co-authorship links · 53 across different organisations · showing the 40 most connected

Hover or tap a name to highlight its co-authors. Double-click to open the author's page.

  • Universitas Airlangga
  • Bandung Institute of Technology
  • State University of Jakarta
  • IPB University
  • Hasanuddin University
  • Universitas Muhammadiyah Surabaya
  • Indonesia Defense University
  • Other organisations
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Kuntoro KuntoroUniversitas Airlangga3
Tjipto SuwandiUniversitas Airlangga3
Rahayu Tri NuritasariUniversitas Airlangga3
Rachmah IndawatiUniversitas Airlangga2
Farapti FaraptiUniversitas Airlangga2
Chatarina Umbul WahyuniUniversitas Airlangga2
Lilis SulistyoriniUniversitas Airlangga2
Usep SuhudState University of Jakarta1
Ratna Tri Hari SafariningsihUniversitas Panca Sakti Bekasi1
Dewi GathmyrIndonesia Defense University1
Herlitah HerlitahState University of Jakarta1
Joseph WilsonAffiliation unknown1
Israfil IsrafilInstitut Teknologi dan Kesehatan Bali1
Pius SelasaPoltekkes Kemenkes Kupang1
Dwi - KuswantoUniversitas Airlangga1
Annisaa Wulida FurqoniaUniversitas Airlangga1
Dewi Retno SuminarUniversitas Airlangga1
Hanggara Budi UtomoState University of Malang1
Diah RatnadewiIPB University1
Atik Choirul HidajahUniversitas Airlangga1
Ika Dewi AnaUniversitas Gadjah Mada1
Christofora Hanny WidjajaIPB University1
Anggraini BarlianBandung Institute of Technology1
Rizka Musdalifah AmsarBandung Institute of Technology1
Triati Dewi Kencana WunguBandung Institute of Technology1
Fedik Abdul RantamUniversitas Airlangga1
Romaniyanto RomaniyantoRSO Soeharso Surakarta1
Cita Rosita Sigit PrakoeswaUniversitas Airlangga1
Damayanti TinduhAffiliation unknown1
Dwikora Novembri UtomoUniversitas Airlangga1
Heri SurotoUniversitas Airlangga1
Ferdiansyah FerdiansyahUniversitas Airlangga1
Hadi PrayitnoPoliteknik Penerbangan Surabaya1
Lalu Muhammad SalehHasanuddin University1
Mochammad Bagus QomaruddinUniversitas Airlangga1
Apik Indarty MoedjionoHasanuddin University1

Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.

Metadata source: OAI-PMH (metadata jurnal) http://e-journal.unair.ac.id/index.php/JNERS/oai, first harvested 9 Nov 2026, last seen 9 Nov 2026.
Original metadata (oai_dc) 
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	<dc:title xml:lang="en-US">Indicators and Index of Elderly Well-Being to Support an Age–Friendly City</dc:title>
	<dc:creator>Wiliyanarti, Pipit Festi</dc:creator>
	<dc:creator>Notobroto, Hari Basuki</dc:creator>
	<dc:creator>Hamidah, Hamidah</dc:creator>
	<dc:creator>Rofiqi, Erfan</dc:creator>
	<dc:subject xml:lang="en-US">age-friendly city</dc:subject>
	<dc:subject xml:lang="en-US">elderly</dc:subject>
	<dc:subject xml:lang="en-US">indicators</dc:subject>
	<dc:subject xml:lang="en-US">index</dc:subject>
	<dc:subject xml:lang="en-US">well-being</dc:subject>
	<dc:description xml:lang="en-US">Introduction: Increasing the life expectancy of the elderly raises complex problems concerning the life aspects of the elderly, family, community, and government. A well-being indicator for the elderly is needed as a measurement tool to facilitate Indonesian elderly individuals to becoming more prosperous. The purpose of this study was to develop well-being indicators and to formulate the elderly well-being Index.Methods: This study used an explanatory research design with a quantitative approach. In total, 400 respondents were collected using multistage random sampling. The physical well-being variable used the Mini-Mental State Examination (MMSE) instrument, Barthel's index, and the Disease Complaint questionnaire. In addition, a psychology and social well-being instrument, social well-being instrument, and spiritual instrument were employed. Confirmatory Factor Analysis was used to verify the factor structure of all of the observed variables.Results: The results showed that the indicators for elderly well-being are demographic with the following factor loading: (λ) 0.32, social environment (λ)=0.51, health services (λ)=0.55, physical well-being (λ=0.36 psychological well-being (λ)=0.46, social well-being (λ)=0.45 and spiritual well-being (λ)=0.50. The indicators and index can be used as an effort to drive the program, so then the elderly can become productive, prosperous, and meaningful.Conclusion: The elderly well-being index is expected to be a programmatic instrument that can measure and evaluate the welfare of the elderly. This will increase the elderly health program that is available to achieve more holistic well-being and an age-friendly city. </dc:description>
	<dc:publisher xml:lang="en-US">Universitas Airlangga</dc:publisher>
	<dc:date>2020-03-25</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://e-journal.unair.ac.id/JNERS/article/view/16683</dc:identifier>
	<dc:identifier>10.20473/jn.v15i1.16683</dc:identifier>
	<dc:source xml:lang="en-US">Jurnal Ners; Vol. 15 No. 1 (2020): APRIL 2020; 19-25</dc:source>
	<dc:source>2502-5791</dc:source>
	<dc:source>1858-3598</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://e-journal.unair.ac.id/JNERS/article/view/16683/pdf</dc:relation>
	<dc:rights xml:lang="en-US">Copyright (c) 2020 Jurnal Ners</dc:rights>
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