The DOI matches its Crossref record; 99 of the 99 references it cites were found in a registry or an index.
Loneliness, Resilience, Mental Health, and Quality of Life in Old Age: A Structural Equation Model
Open accessAbstract
Objectives: In the scientific literature on aging, a recent core issue has been the role of individuals’ internal and external resources, which are considered intrinsically connected, in contributing synergistically to physical and psychological quality of life (QoL). The current study investigates the way in which psychological factors—such as loneliness, resilience, and mental states, in terms of depression and anxiety symptoms—affect the perceived QoL among elderly individuals. Method: Data from 290 elderly Italian participants were used to study the mediation effects of both mental health and resilience to elucidate the relationship between loneliness and psychophysical QoL. Results: The best model we obtained supports the mediation effect of both resilience and mental health between loneliness and mental and physical QoL. These results highlight that loneliness influences mental and physical QoL via two pathways, with the impact of loneliness mediated by mental health and resilience dimensions. Conclusions: The findings suggest the importance of the support that elderly people receive from social relationships. In terms of clinical interventions, the reduction of loneliness could be an important factor in primary prevention or the recovery process. A way to reduce levels of mental distress could be represented by the increasing of resilience and self-efficacy and reduction of loneliness dissatisfaction. A high degree of resiliency contributes to increasing perceived life quality at the physical and psychological levels, and at the same time, reducing anxiety and depressive symptoms.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Hu, L., & Bentler, P. M. (1999) · Structural Equation Modeling A Multidisciplinary Journal · doi:10.1080/10705519909540118 · Cited by 108,788
Self-efficacy: Toward a unifying theory of behavioral change
Bandura, A. (1977) · Psychological Review · doi:10.1037/0033-295x.84.2.191 · Cited by 43,925
Structural equation modeling in practice: A review and recommended two-step approach
Anderson, J. C., & Gerbing, D. W. (1988) · Psychological Bulletin · doi:10.1037/0033-2909.103.3.411 · Cited by 41,941
Alternative Ways of Assessing Model Fit
Browne, M. W., & Cudeck, R. (1992) · Sociological Methods & Research · doi:10.1177/0049124192021002005 · Cited by 27,200
Comparative fit indexes in structural models.
Bentler, P. M. (1990) · Psychological Bulletin · doi:10.1037/0033-2909.107.2.238 · Cited by 25,266
Self-efficacy: the exercise of control
(1997) · Choice Reviews Online · doi:10.5860/choice.35-1826 · Cited by 24,281
Self-efficacy mechanism in human agency
Bandura, A. (1982) · American Psychologist · doi:10.1037/0003-066x.37.2.122 · Cited by 15,975
Confirmatory factor analysis for applied research
(2007) · Choice Reviews Online · doi:10.5860/choice.44-2769 · Cited by 15,614
Perceived self-efficacy in cognitive development and functioning
Bandura, A. (1993) · Educational Psychologist · doi:10.1207/s15326985ep2802_3 · Cited by 7,655
Health Promotion by Social Cognitive Means
Bandura, A. (2004) · Health Education & Behavior · doi:10.1177/1090198104263660 · Cited by 7,238
Cited by
Intimate Partner Violence in the Golden Age: Systematic Review of Risk and Protective Factors
Gerino, E., Caldarera, A. M., Curti, L., Brustia, P., & Rollè, L. (2018) · Frontiers in Psychology · doi:10.3389/fpsyg.2018.01595 · Cited by 155
Self-citationJones, V. K., Hanus, M., Yan, C., Shade, M. Y., Blaskewicz Boron, J., & Maschieri Bicudo, R. (2021) · Frontiers in Public Health · doi:10.3389/fpubh.2021.750736 · Cited by 111
Chen, Y., & Gao, Q. (2023) · International Journal of Human–Computer Interaction · doi:10.1080/10447318.2022.2062855 · Cited by 70
Thorell, L. B., Holst, Y., & Sjöwall, D. (2019) · Nordic Journal of Psychiatry · doi:10.1080/08039488.2019.1646804 · Cited by 58
Lee, J., Blackmon, B. J., Lee, J. Y., Cochran, D. M., & Rehner, T. A. (2019) · Journal of Community Psychology · doi:10.1002/jcop.22125 · Cited by 47
Metadata
- Authors
- Gerino, E., Rollè, L., Sechi, C., & Brustia, P.
- Venue
- Frontiers in Psychology
- Publisher
- Frontiers Media SA
- Published
- 2017-11-14
- Volume
- 8
- Pages
- 2003-2003
- ISSN
- 1664-1078 (ISSN-L)
- OpenAlex
- W2770019040
- Cited by
- 294
- References
- 99
- FWCI
- 10.13
- Type
- journal article
- Language
- en
- Open access
- gold
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Loneliness, Resilience, Mental Health, and Quality of Life in Old Age: A Structural Equation Model. https://app.cochat.ai/papers/10.3389/fpsyg.2017.02003
- The paper
- Gerino, E., Rollè, L., Sechi, C., & Brustia, P. (2017). Loneliness, Resilience, Mental Health, and Quality of Life in Old Age: A Structural Equation Model. Frontiers in Psychology. https://doi.org/10.3389/fpsyg.2017.02003
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.