Literature DB >> 31320348

Social support and depression among community dwelling older adults in Asia: a systematic review.

Tengku Amatullah Madeehah Tengku Mohd1,2,3, Raudah Mohd Yunus3,4, Farizah Hairi2,3, Noran N Hairi2,3, Wan Yuen Choo2,3.   

Abstract

OBJECTIVES: This review aims to: (1) explore the social support measures in studies examining the association between social support and depression among community-dwelling older adults in Asia and (2) the evidence of association.
DESIGN: A systematic review was conducted using electronic databases of CINAHL, PubMed, PsychINFO, Psychology and Behavioural Sciences Collection, SocINDEX and Web of Science for articles published until the 11th of January 2018. ELIGIBILITY CRITERIA: All observational studies investigating the association between social support and depression among community-dwelling older adults in Asia were included. PARTICIPANTS: Older adults aged 60 years and more who are living in the community. EXPOSURE MEASURES: Social support. OUTCOME MEASURES: Depression.
RESULTS: We retrieved16 356 records and screened 66 full-text articles. Twenty-four observational studies were included in the review. They consisted of five cohort studies and 19 cross-sectional studies. Social support was found to be measured by multiple components, most commonly through a combination of structural and functional constructs. Perceived social support is more commonly measured compared with received social support. Good overall social support, having a spouse or partner, living with family, having a large social network, having more contact with family and friends, having emotional and instrumental support, good support from family and satisfaction with social support are associated with less depressive symptoms among community-dwelling older adults in Asia.
CONCLUSIONS: There were 20 different social support measures and we applied a framework to allow for better comparability. Our findings emphasised the association between good social support and decrease depression among older adults. Compared with western populations, family support has a greater influence on depression among community-dwelling older adults in Asia. This indicates that the family institution needs to be incorporated into designed programmes and interventions when addressing depression in the Asian context. TRIAL : registration number : CRD42017074897. © Author(s) (or their employer(s)) 2019. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.

Entities:  

Keywords:  Asia; depression; older adults; social support; systematic review

Mesh:

Year:  2019        PMID: 31320348      PMCID: PMC6661578          DOI: 10.1136/bmjopen-2018-026667

Source DB:  PubMed          Journal:  BMJ Open        ISSN: 2044-6055            Impact factor:   2.692


This systematic search was conducted in six databases using broad terminologies to capture as many relevant studies as possible. This review analysed social support measurements and categorised them according to relevant components, to enable comparison. The limitation of this review is that only studies published in English were included.

Introduction

The prevalence of depression among older adults in Asia ranges between 7.8% and 34.8%.1–6 As the older population continues to rise, the number of older adults with depression is expected to increase. Depression causes disability,7 decline in quality of life8 and higher risk of mortality.9 Poor health, disability and low social support are associated with depression among older adults,10 11 whereas high social support results in reduced mortality,12 improved health13 14 and greater quality of life.15 Therefore, social support is a potential resource available to all individuals that could be enhanced and bring overall benefit to the older adults. Social support is defined as an exchange of resources between at least two individuals in which either one perceives it as intended to enhance the well-being of the recipient.16 It has been described in two different constructs: structural versus functional17 and perceived versus received.18 Structural social support refers to an individual’s organisational ties to other people and is measured in various forms such as size of social network, network composition, frequency of contact with network members and multiplexity of the relationships between the individual and network members.19 On the other hand, functional social support is the exchange of emotional, instrumental or tangible, informational and appraisal support.20 21 It is the qualitative aspect of social support which includes satisfaction of social support, having confidants and social isolation.10 22 Social support can also be described in terms of received and perceived social support. Perceived social support refers to a person’s potential access to social support, while received social support is the reported exchange or utilisation of social support resources by an individual.23 24 Four systematic reviews have been conducted on this topic.10 25–27 Two of them were conducted among general adults in the Middle East and Iran reviewing the association between social support and health outcomes, and mental health.26 27 Gariépy and colleagues conducted a study examining social support and protection of depression among western countries among all ages from children to older adults.25 Only one systematic review analysed the concept of social relationships and depression specifically among older adults in 13 countries, including Asia.10 All of the systematic reviews reported consistent association between social support and mental health or depression. A summary table of the systematic reviews is included in online supplementary A. Cultural differences were reported with regard to the effects of frequency of contacts and marital status when comparing western to eastern countries.10 Therefore, we felt it necessary to gather all studies conducted in Asia focusing on social support, to explore further possible differences that may exist due to the diversity of norms, beliefs and lifestyles. For instance, the Asian population is known to be collectivist while the western society is said to embrace more individualism.28 Therefore, more emphasis is usually given to informal caregiving for old parents in Asian communities than dependency on state services and formal institutions.29 This also reflects how older adults’ perception of social support and acceptance to it may vary across regions. This review fills in an important gap; it provides a greater understanding of the characteristics of social support and the relationship between social support and depression that is specific to the context of Asian elders. Our study aims to gather, appraise and summarise all existing evidence pertaining to the relationship between social support and depression among community dwelling older adults in Asia. It seeks to answer the following questions: (1) How is social support measured in these studies? (2) What is the evidence on the relationship between social support and depression among community dwelling older adults in Asia?

Methods

Protocol and registration

This systematic review was conducted according to the Preferred Reporting Systems for Systematic Reviews and Meta-Analyses (PRISMA) guidelines30 and has been registered with PROSPERO (registration number CRD42017074897). Studies included were: (1) English papers; (2) studies published until 11 January 2018. The inclusion criteria were: (1) the participants aged 60 years and more; (2) community-dwelling older adults and not living in institutions; (3) studies which mention social support as the exposure variable; (3) the outcome of interest is self-reported or diagnosed depression; (4) observational studies which included cross-sectional or case-control or cohort study designs; (5) associations were quantitatively analysed, using multivariable analysis with adjustment for confounders; (6) conducted in Asia, defined as the countries listed under the WHO South East Asia and WHO West-Pacific regional office,31 with the exclusion of countries in the Australasia region. Articles excluded were: (1) those with study subjects suffering from specific chronic diseases or living alone; (2) qualitative studies and (3) review papers and papers not considered as original studies.

Information sources and search strategy

Search was conducted in January 2018 using six electronic databases: CINAHL, PubMed, PsychINFO, Psychology and Behavioural Sciences Collection, SocINDEX and Web of Science. Four constructs were used to identify relevant keywords or search terms with the assistance of a librarian. They were ‘social support’, ‘older adults’, ‘community dwelling’ and ‘health’, respectively. Keywords such as ‘social support’, ‘social relations’, ‘tangible support’, ‘older persons’, ‘aged’, ‘old’, ‘community-community dwelling’, ‘mental health’ and ‘depression’ were included. Keywords were chosen based on previous relevant systematic reviews on social support and social relationships. An example of the search strategy is attached in online supplementary B. Each concept was searched individually using MeSH terms and title except for Web of Science, in which we used topic only. Within each concept, the Boolean operator ‘OR’ was used and all concepts were later combined using ‘AND’, to retrieve a total number of 16 356 articles. Hand searching was performed by snowballing all the references in the included studies. We also conducted a search on Google Scholar using the search terms ‘social support’ AND ‘depression’ AND ‘community dwelling elderly’, sorted according to relevance. We retrieved 7330 articles from Google scholar and the first 300 articles were screened.32 From this, five studies were included in the review. The remaining articles were not relevant for this systematic review. The first step—title screening, was performed by one reviewer (TAMTM) to remove irrelevant topics. Two reviewers (TAMTM and RY) then independently screened the remaining titles with their abstracts, to select studies for the next phase. Discrepancies were resolved by consulting a third (WYC or FH) reviewer.

Data extraction and quality appraisal

Data from the studies were extracted using a predetermined data extraction form as attached in online supplementary C. Information extracted included title, year of publication, author, study design, sampling method, population, setting, sample size, exposure, outcome, tools of measurement, covariates and statistical outcomes from each paper. Data extraction was performed by one reviewer and cross-checked by two others. Any disagreements were discussed. Due to the heterogeneity of the studies, synthesis of the findings were narrative in nature. Quality assessment was done using the Newcastle Ottawa Scale (NOS) for cross-sectional and cohort studies33 34 by one reviewer and double-checked by two other reviewers. Studies were categorised by the number of stars given. For cross-sectional studies, categorisation is as follows: low (1–3 stars), moderate (4–6 stars) and good (7–10). For cohort studies, categorisation is as follows: low (1–3 stars), moderate (4–6 stars) and good (7–9). The quality assessment tools are available as online supplementary D and E. The adapted version of the cross-sectional NOS has been used in a previous systematic review.35 Due to the heterogeneity of the social support measurements, we operationalised social support as a broad term encompassing structural, functional, perceived and received social support. We combined all four concepts into one framework described in figure 1. We considered perceived and received social support part of functional support as it reflects how a person views the exchange of functions.10
Figure 1

Conceptual framework of social support adapted from Cobbs (1976),81 Berkman et al 78 and Schwarzbach et al.10

Conceptual framework of social support adapted from Cobbs (1976),81 Berkman et al 78 and Schwarzbach et al.10

Patient and public involvement

This study only reviewed previous published studies and did not involve any patients or public involvement.

Results

The initial search resulted in 16 361 articles. We removed 3929 duplicates. The remaining 12 432 articles were screened by titles and abstract, and 12 200 papers were excluded as they were irrelevant to our scope and objectives. A total of 68 articles were selected for full text screening, but two of them could not be retrieved. From the remaining 66 studies, 42 studies were excluded for several reasons: not meeting the inclusion criteria for the study population (n=7); social support not being an exposure variable (n=20); depression not being measured as an outcome (n=7); did not adjust for potential confounders (n=4) and being irrelevant from the systematic review topic (n=4) (see online supplementary F). The PRISMA flowchart of study selection is illustrated in figure 2. Table 1 shows the final studies included in the analysis (n=24).
Figure 2

PRISMA flowchart of the review. PRISMA, Preferred Reporting Systems for Systematic Reviews and Meta-Analyses.

Table 1

Study characteristics of included studies

NoAuthor (Year of publication)CountryStudy designStudy subjectsnSocial support measureDepression measurementCovariatesQuality score
1Chao (2011)49 TaiwanProspective cohort60 years and above older adults1743Integrated measure of social support. Structural and received supportCentre of Epidemiological Studies Depression ScaleAge, gender, education, ethnicity, physical status.7
2Chen et al (2012)46 ChinaProspective cohort60 years and above older adults262Living status Lubben Social Network ScaleMajor depressive episode Structured Clinical Interview for DSM-IVGender, education level, health status.7
3Chou et al (2003)37 Hong KongProspective cohort70 years and above older adults554Lubben Social Network ScaleCentre of Epidemiological Studies Depression ScaleAge, gender, marital status, physical health variables.8
4Hashimoto et al (1999)56 JapanProspective cohort60 years and above receiving home help.303Social Support QuestionnaireCentre of Epidemiological Studies Depression ScaleADL, life stressors.6
5Koizumi et al (2005)38 JapanProspective cohort70 years and above older adults475Five questions: To consult in trouble To consult in bad physical condition To help with your daily housework To take to a hospital To take care of youGeriatric Depression ScaleSex, age, GDS score in 2002, presence or absence of spouse, number of household members, number or past physical diseases, age at finishing school education, MMSE score, physical function, pain, self-rated health.8
6Ang et al (2016)36 SingaporeCross-sectional60 years and above older adults2766Multicomponent, number of types of received social supportCentre of Epidemiological Studies Depression ScaleRace, housing type, education, age group, living arrangements, employment status, number of children, difficulties in activities of daily living and instrumental activities of daily living, number of chronic illness, vision and hearing difficulties, and provision of support.7
7Chan et al (2011)54 MacauCross-sectional60 years and above older men839Lubben Social Network ScaleGeriatric Depression ScaleDemographic factors, health needs/behaviour factors.8
8Chan et al (2009)53 MacauCross-sectional60 years and above older women1042Lubben Social Network ScaleGeriatric Depression ScaleDemographic factors, health needs/behaviour factors.8
9Chi et al (2001)42 Hong KongCross-sectional60 years and above older adults1106

Social network size

Network composition

Social contact frequency

Satisfaction of social support

Instrumental/emotional support

Helping others

Centre of Epidemiological Studies Depression ScaleAge, gender, years of education, functional impairment, helping others.6
10Gong et al (2012)51 ChinaCross-sectional60 years and above older adults1317Family social supportBeck Depression Inventory BDI-IIGender, education, physical health, living arrangement, economic status, negative life events.6
11Lee et al (2005)57 Japan KoreaCross-sectional65 years and above older. Comparison between rural Japan and urban Korea.Japan 1495 Korea 1298Social Support IndexGeriatric Depression ScaleOccupation, alcohol drinking, arthritis, hypertension, stroke, heart disease and fracture.8
12Leung et al (2007)39 TaiwanCross-sectional65 years and above older adults507Social Support Rating Scale (SSRS)Symptom Checklist 90 RAge, gender, location, ADL, diseases.7
13Li et al (2016)43 ChinaCross-sectional60 years and above older adults5103Social support and participation

Partnered status

Children nearby

Social participation

Elderly activity centre in community

Centre of Epidemiological Studies Depression ScaleAge, gender, education, chronic conditions.6
14Li et al (2015)58 SingaporeCross-sectional65 years and above older adults162DUKE Social Support IndexGeriatric Depression ScaleAge, gender, education, perceived income adequacy, perceived life quality, loneliness, resilience.5
15Ng et al (2014)40 SingaporeCross-sectional60 years and above older adults2447Support accessible to an individual through social ties to other individuals, groups and larger communityGeriatric Depression ScaleAge, gender, ethnic group, chronic illness, activities of daily living, instrumental activities of daily living.6
16Piboon et al (2012)55 ThailandCross-sectional60 years and above older adults317Personal Resource QuestionnaireGeriatric Depression ScaleAge, gender, religion, marital status, income, occupation, education level, chronic illness.7
17Shin et al (2008)41 KoreaCross-sectional65 years and above older adults787Medical Outcome Study Social Support Survey (MOS-SSS)DSM-IV, include both major and minor depressive disorder, GDS-K, HAM-DAge, gender, education, cohabitation, low income.7
18Suttajit et al (2010)52 ThailandCross-sectional60 years and above older adults1104Six deficits of Social SupportEURO-DAge, gender, marital status, education, socioeconomic status, work status.7
19Tiedt (2010)48 JapanCross-sectional65 years and above older adults3807Instrumental and emotional support elders receivedCentre of Epidemiological Studies Depression ScaleHealth model control for poor health. Age, gender, income, education.6
20Tsai et al (2005)50 TaiwanCross-sectional65 years and above older adults with depression and compared with non-depressed1200Social support network Quantities of social support Satisfaction of social supportGeriatric Depression ScaleGender, educational level, marital status, number of diseases, satisfaction with living situation, perceived health status, perceived income adequacy, cognitive status, functional status, chronic disease.7
21Tsuboi et al (2016)44 JapanCross-sectional65 years and above older adults24 6322-Way Social Support ScaleGeriatric Depression ScaleAge, gender, marital status, medical treatment, living status, income, education. Controlled for age, comorbidity of serious disease, living status, equivalent income, years of schooling.7
22Wang et al (2012)47 ChinaCross-sectional60 years and above older adults209Multidimensional Scale of Perceived Social Support (MSPSS)Geriatric Depression ScaleAge, education, gender.7
23Wee et al (2014)59 SingaporeCross-sectional60 years and above older adults559Lubben Social Network ScaleGeriatric Depression ScaleAge, gender, marital status, ethnicity, education, socioeconomic economic, medical history, functional history, geriatric history.7
24Yoo et al (2016)45 KoreaCross-sectional65 years and above older adults in three different groups: (1) Low income group living at home. (2) Older adults who visit community hall. (3) Older adults who visit senior welfare centres.648Perceived Social Support Scale (Song 1991)Geriatric Depression ScaleAge, gender, education, health, living arrangement, physical variables.8

ADL, activities of daily living; GDS, Geriatric Depression Scale; MMSE, Mini Mental State Examination.

PRISMA flowchart of the review. PRISMA, Preferred Reporting Systems for Systematic Reviews and Meta-Analyses. Study characteristics of included studies Social network size Network composition Social contact frequency Satisfaction of social support Instrumental/emotional support Helping others Partnered status Children nearby Social participation Elderly activity centre in community ADL, activities of daily living; GDS, Geriatric Depression Scale; MMSE, Mini Mental State Examination. The studies were conducted in eight countries: China (n=4), Japan (n=4), Singapore (n=4), Taiwan (n=3), Hong Kong (n=2), Korea (n=2), Macau (n=2), Thailand (n=2) and one study conducted in both Japan and Korea. The prevalence of depression was reported in 12 studies and ranged from 7.8% to 46% (see online supplementary G). Among the 24 studies, 5 were cohort studies while the remaining 19 adopted cross-sectional designs. This review has a total number of 54 682 participants with sample size ranging from 162 to 24 632. Most of the studies were of good quality (n=17), with an average score of 7 (see online supplementary H). Most of the sampling method used (n=19) were universal sampling and random sampling and used local registry as the sampling frame. However, the quality was affected for the following reasons: no justification for sample size (n=21), no description of non-responders (n=23) and outcome measure based on self-report (n=24).

Social support definition and measurements

Among the 24 studies, only two studies provided a clear definition of social support.36 37 Both described social support as resources accessible to a person or that they perceive are available. Other studies described measurements of social support. The majority of studies had two or more measures of social support (n=18), consisting of both structural and functional measures (n=14) (table 2). Five studies assessed social support using one measurement.36 38–41 The usage of a multicomponent measure is more comprehensive in measuring social support, but it leads to heterogeneity in the results. For example, some studies do not just report the types of social support measure, but subcategorised it into the source of the social support (eg, emotional support given by family). Results are therefore not comparable.
Table 2

Social support measures in the included studies

Ang and Malhotra36 Chan and Zeng53 Chan and Zeng54 Chi and Chou42 Gong et al 51 Lee et al 57 Leung et al 39 Li et al 43 Li et al 58 Ng et al 40 Piboon et al 55 Shin et al 41 Suttajit 52 Tiedt48 Tsai et al 50 Tsuboi et al (2016)44 Wang et al 47 Wee et al 59 Yoo et al 45 Chao49 Chen et al 46 Chou and Chi37 Hashimoto et al 56 Koizumi et al 38 Total
Structural
 Marital status+++++5
 Living arrangement+++++++++++11
 Size of network++++++++8
 Composition++2
 Sources of social support+++++++7
 Frequency of social contact+++++++++++11
 Children nearby+1
Functional
 Type of support++++++++++++++14
 Confidant++++++6
 Satisfaction++++++6
Total144920121321435454175521
Perceived Social Support++++++++++++12
Received Social Support++++4

‘+’=measured social support component.

Social support measures in the included studies ‘+’=measured social support component. Social support was measured by 10 different components. Table 2 lists all the social support measurements from included studies. The five most common measures were type of support (n=14), frequency of contact (n=12), living arrangement (n=11), size of social network (n=8) and sources of social support (n=8). Structural support measures found in the studies are marital status, living arrangement, size of network, network composition, sources of social support, frequency of social contact and children nearby. Functional support was measured by types of social support, the presence of confidant and satisfaction of support. A detailed description of social support measurements in each study is attached in online supplementary I. The results of the association for each social support component with depression are summarised in table 3 and described in detailed in online supplementary J. First, we described the results within the structural social support. Older adults who were married or have a partner, have fewer depressive symptoms.42–45 Second, living arrangement was found to be significantly associated with depressive symptoms in three studies.40 46 47 We found that living with family was associated with lower rates of depression.48 Third, in terms of social network size, three studies showed significant association between having a larger size of network and fewer depressive symptoms.42 48 49 Apart from size, the composition of social network was also shown to be associated with depression. Two studies showed that a larger social network composed of mostly family members is associated with reduced rate of depression compared with having friends.49 50 One study showed specifically having a social network composed of 25%–50% of family members was associated with fewer depressive symptoms (Estimate (E)=−0.128, SE (0.041)).42 With regard to source of social support, social support from family was found to lower depressive symptoms in three studies,37 51 52 while one study found that friends support is associated with fewer depressive symptoms.47 Three out of 12 studies reported that increased frequency of contact was significantly associated with reduced depressive symptoms.42 49
Table 3

Summary of findings for the association between social support and depression

Ang and Malhotra36 Chan and Zeng53 Chan and Zeng54 Chi and Chou42 Gong et al 51 Lee et al 57 Leung et al 39 Li et al 43 Li et al 58 Ng et al 40 Piboon et al 55 Shin et al 41 Suttajit et al 52 Tiedt48 Tsai et al 50 Tsuboi44 Wang et al 47 Wee et al 59 Yoo et al 45 Chao49 Chen et al 46 Chou and Chi37 Hashimoto et al 56 Koizumi et al 38
Structural
 Marital status++++
 Living arrangement000+/–+0++0
 Size of network00+/–+0+00
 Composition+/–
 Sources of social support++0+/–0+/–0
 Frequency of social contact00++-000+00
 Children nearby-
Functional
 Type of support++/–+0-+++/–00+00+/–
 Confidant00++++
 Satisfaction+00++
Overall social support+/–+++++++++/–+
Perceived/receivedRPPPRPPPPPRPRPPP

‘0’=not reported; ‘+’=significant; ‘–’ =not significant; ‘P’=perceived; ‘R’=received.

Summary of findings for the association between social support and depression ‘0’=not reported; ‘+’=significant; ‘–’ =not significant; ‘P’=perceived; ‘R’=received. For functional support, emotional support was associated with reduced depressive symptoms in six studies,38–40 42 48 49 while the presence of instrumental support was associated with less depression in five studies.38 42 44 48 49 These two types of social support were most commonly measured. Financial support was reported in one study as being associated with reduced depressive symptoms (E=−0.053, SE (0.019), p≤0.001).44 Higher satisfaction with social support was associated with fewer depressive symptoms in two studies42 49 and not significant in one study.50 One study reported that dissatisfaction with support from children was associated with more depressive symptoms (OR=1.9, 95% CI 1.2 to 3.0).50 Confidant was measured in eight studies but only one study reported it specifically and that it was not associated with depression.52 Perceived social support was measured in 12 studies while received social support was measured in 4 studies. The remaining eight studies did not mention either components of social support. Five studies found good perceived social support to be associated with fewer depressive symptoms.41 43 53–55 Although the studies measured multiple components, not all reported each of them individually. A total of 11 studies reported overall social support and found that low social support is significantly associated with higher depressive symptoms.36 40–42 53–58 Two studies found that overall social support was not significantly associated with depressive symptoms among males36 and among groups of older adults who visited small community halls and visited senior welfare centres.45 As eight of the studies are of good quality,36 41 45 53–55 57 59 we concluded that good overall social support is associated with lower depressive symptoms.

Discussion

We found that social support is a multidimensional concept and there is no standardised method in measuring or reporting them. In total, 20 different social support measurements were used. This makes comparison between studies difficult unless a framework is used to group the results. From the measurements of social support, we propose a framework that includes perceived and received social support under functional social support as depicted in figure 1. Perceived and received social support has been recognised previously to be a function of social support.60 61 Questions measuring received social support enquire regarding the frequency of receiving specific types of social support,28 for example, whether the respondents receive financial, house chores, food or emotional support.36 48 Perceived social support measures asks indirectly whether the individual has family or friends that can provide them with certain types of social support.58 Using this framework structure, we were able to categorise perceived and received social support as functional social support, making comparison easier. This review found that good overall social support, having a spouse or partner, living with family, having a large social network, having more contact with family and friends, having emotional and instrumental support, good support from family and satisfaction with social support are associated with less depressive symptoms among the community-dwelling older adults in Asia. In terms of structural measures of social support, our results are similar to previous studies with regard to marital status, contact frequency and social network size.25 62 Compared with findings in western countries that emphasise the association between spousal and friends support with depression, Asian elders are more affected by family support.10 This highlights an important aspect of cultural difference. Given the tradition of filial piety in many Asian countries, older adults tend to rely on children and family members for care in old age, thus explaining the source of social support that affects their mental well-being more. Therefore, the approach of supporting elders in Asia should be more focused on assisting and educating families in caring for their elder members. Filial piety is an important concept in the Asian culture with the core value of respecting one’s parents. It was introduced in Confucianism centuries ago and revolves around the responsibility of a son or daughter to care for their parents.25 A similar practice is also present in Hinduism63 and Islam,64 the two other religions which are dominant in Asia. Although the studies only included south-east and east Asian countries, studies from south Asia were not included as they did not fulfil the inclusion criteria.65–68 The results of the south Asian studies mirrored our findings with fewer depressive symptoms reported among Indian older adults with good social support. However, urbanisation and industrialisation are causing a shift in this trend.69 Since the number of multiple generational household is reducing, parents have less expectation on their children to look after them.69 70 This review has shown that children still have an impact on the older adults’ depressive symptoms. Living with family, especially children, is significantly associated with less depressive symptoms but the evidence is inadequate due to the small number of studies. Good family support which included support from children was also associated with reduced depression. This is in stark contrast to studies conducted in the west, where spousal or friends support is more important.10 71 More studies on the effect of filial piety on depression could be explored further. Given the trends of westernisation, a shift in social norms and youth rural-urban migration, the dynamics of filial piety in Asian countries may undergo change in the future.

Strengths and limitations

This systematic review is the first to be conducted in Asia among community-dwelling older adults. Community-dwelling older adults have potentially more access to social support compared with institutionalised older adults. Research to enhance the health outcome of this population is important to enable them to live in the community as long as possible. This review also highlighted that social support is a broad and heterogeneous concept. But, despite the heterogeneity, we analysed the measurements of social support by applying a social support framework which encompassed two important constructs. However, there are a few limitations. First, most of the studies included were cross-sectional in design. Only five studies were cohorts, and the reported social support components in these studies are limited. Therefore, a causal relationship between social support components and depression cannot be adequately confirmed. Second, a single reviewer conducted the first phase of the title screening. The possibility of bias or error at this stage cannot be ruled out. However, the final papers were discussed with the other reviewers. We excluded non-English publications and this might have caused systematic bias through omission of potentially relevant studies. Despite the limitations of this review, our strength lies in our systematic search in which multiple keywords and broad terminologies were used to capture as many articles as possible.

Comparison with other studies

Emotional and instrumental social support are the most commonly measured functional support and are found to be associated with lower depressive symptoms. This concurs with previous studies.10 72 But other types of functional support, namely appraisal and informational social support, have not been studied and should be explored in future. There were also other measures of social support found, such as difficulty in relationships,73 poor positive social interaction,52 providing social support41 42 49 and social isolation.44 These measures were not included as they did not reflect the definition of functional support used in this review. Perceived social support is more commonly associated with depression compared to received support. High perceived social support has been found to be associated with reduced depressive symptoms. This corroborates previous findings that perceived social support has a higher impact on mental health than received social support.74–76 Perceived social support buffers the effect of stress by reassuring the person that help is available and thus enhance the individual’s coping abilities in dealing with stressful events.77 On the contrary, received social support is thought to cause dependency and a sense of helplessness by undermining a person’s self-esteem.78

Implications on research and policies

This review has emphasised the issue of heterogeneity of social support measurements in the literature and the impact of specific types of social support on depression among community-dwelling older adults. In the future, applying a social support framework should be the way forward for easier comparison of findings. In the Asian context, research on the changing trends of filial piety and its impact on older adults should be explored further. Although there have been studies conducted in China, Singapore and Hong Kong,70 79 80 it is still unknown in other parts of Asia. In addition, functional social support is the most commonly measured support, especially emotional and instrumental support. Future research should thus consider measuring informational and appraisal support or explore other measures of functional social support. Our findings can be incorporated into the geriatric screening programme in the primary healthcare setting in Asia. Questions regarding social support should be included and used to assist in early detection of those at risk of depression. Findings of this review also point to the role that family members—especially adult children—can play in remedying depression of old parents. This understanding can be leveraged by interventions such as group therapies or family mediation.

Conclusion

Social support measurements consist of multiple components and they vary between studies. However, by applying a social support framework to classify these measurements, a clearer association between social support and depression can be seen. This systematic review has also highlighted the important role of family as a source of support in reducing depressive symptoms among community-dwelling older adults in Asia. We recommend further exploration and investigation of social support and its components among older adults, and for them to be used to predict and improve health outcomes in the primary healthcare setting.
  60 in total

1.  The association of depression and mortality in elderly persons: a case for multiple, independent pathways.

Authors:  D G Blazer; C F Hybels; C F Pieper
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2001-08       Impact factor: 6.053

2.  Assessing social support and depressive symptoms in older Chinese adults: a longitudinal perspective.

Authors:  S F Chao
Journal:  Aging Ment Health       Date:  2011-06-14       Impact factor: 3.658

Review 3.  The relationship between self-reported received and perceived social support: a meta-analytic review.

Authors:  Mason G Haber; Jay L Cohen; Todd Lucas; Boris B Baltes
Journal:  Am J Community Psychol       Date:  2007-03

4.  Relational regulation theory: a new approach to explain the link between perceived social support and mental health.

Authors:  Brian Lakey; Edward Orehek
Journal:  Psychol Rev       Date:  2011-07       Impact factor: 8.934

Review 5.  Social support and protection from depression: systematic review of current findings in Western countries.

Authors:  Geneviève Gariépy; Helena Honkaniemi; Amélie Quesnel-Vallée
Journal:  Br J Psychiatry       Date:  2016-07-21       Impact factor: 9.319

6.  Social support and depression among elderly Chinese people in Hong Kong.

Authors:  I Chi; K L Chou
Journal:  Int J Aging Hum Dev       Date:  2001

7.  How does functional disability affect depressive symptoms in late life? The role of perceived social support and psychological resources.

Authors:  Yang Yang
Journal:  J Health Soc Behav       Date:  2006-12

Review 8.  Social ties and mental health.

Authors:  I Kawachi; L F Berkman
Journal:  J Urban Health       Date:  2001-09       Impact factor: 3.671

9.  Prevalence and Predictive Factors of Depression in Community-Dwelling Older Adults in South Korea.

Authors:  Jae Soon Yoo; Sun Ju Chang; Hyun Sook Kim
Journal:  Res Theory Nurs Pract       Date:  2016-08-01       Impact factor: 0.688

10.  Impacts of poor social support on general health status in community-dwelling korean elderly: the results from the korean longitudinal study on health and aging.

Authors:  Jae Kyung Shin; Ki Woong Kim; Joon Hyuk Park; Jung Jae Lee; Yoonseok Huh; Seok Bum Lee; Eun Ae Choi; Dong Young Lee; Jong Inn Woo
Journal:  Psychiatry Investig       Date:  2008-09-30       Impact factor: 2.505

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  40 in total

1.  The role of internet use in the relationship between occupational status and depression.

Authors:  Yujie Zhang
Journal:  PLoS One       Date:  2022-10-10       Impact factor: 3.752

2.  Examining Risk Factors for Mental Health During the COVID-19 Pandemic-Focusing on Older Adults in South Korea.

Authors:  Sujin Kim; Jongnam Hwang
Journal:  Int J Public Health       Date:  2022-06-24       Impact factor: 5.100

3.  Relationship Between Risk Perception, Social Support, and Mental Health Among General Chinese Population During the COVID-19 Pandemic.

Authors:  Chengbin Liu; Ning Huang; Mingqi Fu; Hui Zhang; Xing Lin Feng; Jing Guo
Journal:  Risk Manag Healthc Policy       Date:  2021-05-07

4.  Watching sports and depressive symptoms among older adults: a cross-sectional study from the JAGES 2019 survey.

Authors:  Taishi Tsuji; Satoru Kanamori; Ryota Watanabe; Meiko Yokoyama; Yasuhiro Miyaguni; Masashige Saito; Katsunori Kondo
Journal:  Sci Rep       Date:  2021-05-19       Impact factor: 4.379

5.  Correlates of social support in individuals with a diagnosis of common mental disorders and non communicable medical diseases in rural South India.

Authors:  Susan Thomas; Krishnamachari Srinivasan; Elsa Heylen; Maria L Ekstrand
Journal:  Soc Psychiatry Psychiatr Epidemiol       Date:  2021-01-01       Impact factor: 4.519

6.  Older Men With Living Spouses Versus Men Without Spouses: An Example From the Arab World-Kuwait.

Authors:  Yagoub Yousif Al-Kandari
Journal:  Am J Mens Health       Date:  2020 Jul-Aug

Review 7.  Exposure to greenspaces could reduce the high global burden of pain.

Authors:  Jessica Stanhope; Martin F Breed; Philip Weinstein
Journal:  Environ Res       Date:  2020-05-08       Impact factor: 6.498

8.  Comparative assessment of psychosocial status of elderly in urban and rural areas, Karnataka, India.

Authors:  Govindarajan Venguidesvarane Akila; Banavaram Anniappan Arvind; Arjunan Isaac
Journal:  J Family Med Prim Care       Date:  2019-09-30

9.  Depression in relation to sex and gender expression among Swedish septuagenarians-Results from the H70 study.

Authors:  Therese Rydberg Sterner; Pia Gudmundsson; Hanna Falk; Nazib Seidu; Felicia Ahlner; Hanna Wetterberg; Lina Rydén; Robert Sigström; Svante Östling; Anna Zettergren; Silke Kern; Margda Waern; Ingmar Skoog
Journal:  PLoS One       Date:  2020-09-14       Impact factor: 3.240

10.  Association of parental social network diversity with behaviour problems and resilience of offspring in a large population-based study of Japanese children.

Authors:  Yuna Koyama; Takeo Fujiwara; Aya Isumi; Satomi Doi
Journal:  BMJ Open       Date:  2020-10-21       Impact factor: 2.692

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