Dataset Information

Oral Health, Loneliness and Social Isolation. A Systematic Review and Meta-Analysis

ABSTRACT:

Objectives

Thus far, some empirical studies have investigated the association between oral health and loneliness as well as social isolation. However, a systematic review and meta-analysis is lacking synthesizing this evidence. Hence, our purpose was to close this knowledge gap.

Design

Systematic review and meta-analysis.

Setting and Participants

Observational studies examining the association between oral health and loneliness or social isolation were included. Disease-specific samples were excluded.

Methods

We searched three electronic databases (PubMed, PsycINFO, CINAHL), and did an additional hand search. Data extraction covered methods, sample characteristics and main findings. To evaluate study quality/risk of bias, the NIH tool was used. Study selection, data extraction and assessment of study quality were each conducted by two reviewers.

Results

Seven studies were included in our current work. Several cross-sectional studies and one longitudinal study reported an association between poorer oral health and higher loneliness as well as higher social isolation. The quality of the studies was mostly fair, with two studies of high quality. The pooled OR was 1.47 (95% CI 1.24–1.75) among the studies with adult samples.

Conclusion

Most of the included studies demonstrated an association between oral health and loneliness or social isolation. There is a lack of high quality studies on these associations; in particular, future studies should use longitudinal data to clarify the directionality between oral health and loneliness or social isolation. Prospero registration number CRD42021268116.

Electronic Supplementary Material

Supplementary material is available for this article at 10.1007/s12603-022-1806-8 and is accessible for authorized users.

SUBMITTER: Hajek A

PROVIDER: S-EPMC9166168 | biostudies-literature |

REPOSITORIES: biostudies-literature

ACCESS DATA

Similar Datasets

Project description:BACKGROUND:The health impacts of loneliness and social isolation among older adults are widely acknowledged. Despite this, there is no consensus on the possible causal nature of this relationship, which could undermine effectiveness of interventions. One body of thought is that loneliness and social isolation affect health-related behaviours to indirectly damage health. However, there has not been any systematic assessment of the association between loneliness and social isolation and health-related behaviours which considers the possible impact from confounding factors and the causal direction of this association. METHODS/DESIGN:The research will comprise a systematic review and meta-analysis to address the evidence gap. EMBASE, MEDLINE, PSYCINFO, CINAHL, SocIndex, Scopus and Web of Science will be systematically searched for quantitative observational studies considering an association between loneliness/social isolation and key health-related behaviours in older adults. Two reviewers will independently check the study titles and abstracts for eligibility. Included studies will be critically appraised using Newcastle-Ottawa Scale by the lead author and checked by the second reviewer. Discrepancies in eligibility or quality assessment will be resolved via discussion or referral to a third reviewer. Results will be synthesised and reported in accordance with the Centre for Reviews and Dissemination (CRD) guidelines. This will be in the form of a descriptive summary, risk of bias assessment together with a meta-analysis and sub-group analyses (for covariate adjusted results) where sufficient heterogeneity of results is established. Finally, any associations identified will be analysed using the Bradford-Hill criteria to explore causal relationships which, if they exist, will be reported by means of a computed causations score. DISCUSSION:This review aims to assess the extent and causal nature of associations between loneliness/social isolation and health-related behaviours among older adults. This data will provide a comprehensive overview of the quality of the evidence base to inform stakeholders in tackling the growing public health challenges arising from loneliness/social isolation in ageing populations. SYSTEMATIC REVIEW REGISTRATION:PROSPERO CRD42017020845.

Project description:BackgroundLoneliness and social isolation are associated with multiple health problems, including depression, functional impairment, and death. Mobile sensing using smartphones and wearable devices, such as fitness trackers or smartwatches, as well as ambient sensors, can be used to acquire data remotely on individuals and their daily routines and behaviors in real time. This has opened new possibilities for the early detection of health and social problems, including loneliness and social isolation.ObjectiveThis scoping review aimed to identify and synthesize recent scientific studies that used passive sensing techniques, such as the use of in-home ambient sensors, smartphones, and wearable device sensors, to collect data on device users' daily routines and behaviors to detect loneliness or social isolation. This review also aimed to examine various aspects of these studies, especially target populations, privacy, and validation issues.MethodsA scoping review was undertaken, following the PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews). Studies on the topic under investigation were identified through 6 databases (IEEE Xplore, Scopus, ACM, PubMed, Web of Science, and Embase). The identified studies were screened for the type of passive sensing detection methods for loneliness and social isolation, targeted population, reliability of the detection systems, challenges, and limitations of these detection systems.ResultsAfter conducting the initial search, a total of 40,071 papers were identified. After screening for inclusion and exclusion criteria, 29 (0.07%) studies were included in this scoping review. Most studies (20/29, 69%) used smartphone and wearable technology to detect loneliness or social isolation, and 72% (21/29) of the studies used a validated reference standard to assess the accuracy of passively collected data for detecting loneliness or social isolation.ConclusionsDespite the growing use of passive sensing technologies for detecting loneliness and social isolation, some substantial gaps still remain in this domain. A population heterogeneity issue exists among several studies, indicating that different demographic characteristics, such as age and differences in participants' behaviors, can affect loneliness and social isolation. In addition, despite extensive personal data collection, relatively few studies have addressed privacy and ethical issues. This review provides uncertain evidence regarding the use of passive sensing to detect loneliness and social isolation. Future research is needed using robust study designs, measures, and examinations of privacy and ethical concerns.