| Title |
The social network index and its relation to later-life depression among the elderly aged ≥80 years in Northern Thailand
|
|---|---|
| Published in |
Clinical Interventions in Aging, August 2016
|
| DOI | 10.2147/cia.s108974 |
| Pubmed ID | |
| Authors |
Myo Nyein Aung, Saiyud Moolphate, Thin Nyein Nyein Aung, Chitima Katonyoo, Songyos Khamchai, Pongsak Wannakrairot |
| Abstract |
Having a diverse social network is considered to be beneficial to a person's well-being. The significance, however, of social network diversity in the geriatric assessment of people aged ≥80 years has not been adequately investigated within the Southeast Asian context. This study explored the social networks belonging to the elderly aged ≥80 years and assessed the relation of social network and geriatric depression. This study was a community-based cross-sectional survey conducted in Chiang Mai Province, Northern Thailand. A representative sample of 435 community residents, aged ≥80 years, were included in a multistage sample. The participants' social network diversity was assessed by applying Cohen's social network index (SNI). The geriatric depression scale and activities of daily living measures were carried out during home visits. Descriptive analyses revealed the distribution of SNI, while the relationship between the SNI and the geriatric depression scale was examined by ordinal logistic regression models controlling possible covariants such as age, sex, and educational attainment. The median age of the sample was 83 years, with females comprising of 54.94% of the sample. The participants' children, their neighbors, and members of Buddhist temples were reported as the most frequent contacts of the study participants. Among the 435 participants, 25% were at risk of social isolation due to having a "limited" social network group (SNI 0-3), whereas 37% had a "medium" social network (SNI 4-5), and 38% had a "diverse" social network (SNI ≥6). The SNI was not different among the two sexes. Activities of daily living scores in the diverse social network group were significantly higher than those in the limited social network group. Multivariate ordinal logistic regression analysis models revealed a significant negative association between social network diversity and geriatric depression. Regular and frequent contact with various social contacts may safeguard common geriatric depression among persons aged ≥80 years. As a result, screening those at risk of social isolation is recommended to be integrated into routine primary health care-based geriatric assessment and intervention programs. |
X Demographics
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 106 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Australia | 1 | <1% |
| Unknown | 105 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 18 | 17% |
| Student > Bachelor | 15 | 14% |
| Student > Ph. D. Student | 10 | 9% |
| Researcher | 7 | 7% |
| Student > Doctoral Student | 5 | 5% |
| Other | 20 | 19% |
| Unknown | 31 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Nursing and Health Professions | 22 | 21% |
| Medicine and Dentistry | 20 | 19% |
| Psychology | 11 | 10% |
| Social Sciences | 9 | 8% |
| Neuroscience | 1 | <1% |
| Other | 9 | 8% |
| Unknown | 34 | 32% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 09 August 2016.
All research outputs
#17,438,425
of 25,584,565 outputs
Outputs from Clinical Interventions in Aging
#1,243
of 1,962 outputs
Outputs of similar age
#253,441
of 381,673 outputs
Outputs of similar age from Clinical Interventions in Aging
#33
of 53 outputs
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