The Association between Social Contacts and Depressive Symptoms among Elderly Koreans

The Effect of Taekwondo on Depression: A Meta-Analysis

Background

Depression is a prevalent mental health disorder with adverse effects on both physical and psychological health. Taekwondo is posited to exert a positive influence on depression, yet its efficacy warrants further verification.

Methods

This study employed meta-analysis to quantify the intervention effect of Taekwondo on depression. Concurrently, based on subgroup analysis results, an optimal intervention program was suggested. Multiple databases were searched, including English (Web of Science, PubMed), Chinese (CNKI, WANFANG DATA), and Korean (RISS, KISS, DBPIA), to retrieve randomized controlled trials (RCTs) studying Taekwondo's impact on depression, published up to Jan 2024. The Cochrane bias risk tool version 2 (RoB 2.0) was utilized for literature bias risk assessment. Comprehensive Meta-Analysis software facilitated the meta-analysis, subgroup analysis, and publication bias evaluation.

Results

Fifteen articles, encompassing 1945 participants, were included in the study. The primary findings indicated a significant reduction in depression risk due to Taekwondo intervention (Effect Size [ES]=-0.635, P<0.001). Subgroup analysis revealed the most substantial intervention effects in elderly individuals (ES=-1.025, P=0.004) and women (ES=-1.114, P=0.009). Taekwondo exercises, when conducted over 12 wk (ES=-0.922, P<0.001), three times per week (ES=-0.729, P<0.001), for 60 min per session (ES=-0.980, P=0.003), and at low intensity (ES= -1.777, P=0.024), yielded the greatest depression mitigation effects.

Conclusion

Taekwondo is an effective means to alleviate depression, particularly in older women. The study recommends a low-intensity Taekwondo exercise regimen, consisting of 60-minute sessions, three times weekly for 12 wk, as an optimal exercise prescription for best outcomes.

Engaging social activities prevent stroke and myocardial infraction by raising awareness of warning symptoms: A cross-sectional survey study

Background

Stroke and myocardial infarction (MI) are medical emergencies, and early treatment within the golden hour is crucial for good prognosis. Adequate knowledge about the warning symptoms can shorten the onset-to-door time. Various factors affect the level of awareness, including social activity. This study aimed to determine if engaging in social activity is associated with the awareness of the warning symptoms of stroke and MI.

Methods

This cross-sectional study analyzed 451,793 participants from the 2017 and 2019 Korea Community Health Survey. Based on five questions for each of stroke and MI symptoms, participants were divided into an awareness group (replied "Yes" to all five questions) and unawareness group. Engagement in social activities (i.e., religious, friendship, leisure, and volunteer activity) was evaluated through a questionnaire. Multiple logistic regression analysis was performed to evaluate the relation between social activity and awareness of warning symptoms.

Results

Overall, 52.6% participants were aware of the warning symptoms of stroke, and 45.8% of MI. Regular engagement in at least one social activity, particularly friendship or volunteer activity, was associated with better awareness of the warning symptoms, both stroke (OR: 1.21, 95% CI: 1.20-1.23) and MI (OR: 1.22, 95% CI: 1.20-1.24). Additionally, more diverse types of social activities were associated with higher levels of awareness. Relationship between social activity and awareness showed positive association with participants older than 60 years, rural residents, or with low socioeconomic status.

Conclusion

Engagement in social activity was significantly associated with better knowledge about the warning symptoms of stroke and MI. For early hospital treatment after symptom onset, participation in social activities could be beneficial.

The association between the restriction of daily life and depression during the COVID-19 pandemic in Korea: a nationwide based survey

The coronavirus (COVID-19) pandemic has led to substantial daily life changes for people worldwide. We investigated the association between daily life restrictions and depression during the COVID-19 pandemic based on the Korea Community Health Survey. Daily life restrictions were evaluated using a questionnaire to population into three restriction categories: no/slightly, moderately, and severely. Depression was assessed by the Korean version of the Patient Health Questionnaire-9 (PHQ-9). Chi-square tests and Fisher's exact tests were used to compare the demographic characteristics of individuals with and without depression. Logistic regression was used to assess the association between the severity of daily life restrictions and the prevalence of depression. The prevalence of depression was 2.4% in the total population: 5.7% in the severely restricted group and 2.7% in the moderately restricted group. After adjusting for age, sex, educational level, income, marital status, and employment status, the severely restricted group was more likely to have depression than was the no change/slightly restricted group (OR = 2.40, 95% CI 2.16-2.67, p < 0.001). Employers with severely restricted daily life exhibited a higher OR for depression compared to the no/slightly restricted group (OR = 3.24, 95% CI 2.37-4.45, p < 0.001). It is necessary to consider the mental health of vulnerable affected by the COVID-19 pandemic.

Digital technology use and depressive symptoms among older adults in Korea: beneficial for those who have fewer social interactions?

OBJECTIVES

Our study examines the relationship between digital technology use and depressive symptoms among older Koreans and whether social interaction moderates the relationship.

METHODS

The data were drawn from the 2017 Survey of Living Conditions and Welfare Needs of Korean Older Persons, a nationally representative survey. Digital technology use was measured by the number of digital functions that respondents perform with their electronic devices. Social interactions were measured by the frequencies of face-to-face and remote connections with friends or neighbors. Relationships were estimated with multiple regression analyses.

RESULTS

Digital technology use was inversely associated with depressive symptoms even after adjusting for covariates including cognitive function. Both remote and face-to-face connections with friends or neighbors were associated with fewer depressive symptoms. An interaction between digital technology use and remote contact also was detected: the effect of digital technology use on depressive symptoms was more beneficial for older adults with infrequent remote contact with friends or neighbors than for those with frequent remote contact.

CONCLUSION

Findings suggest that digital technology use can reduce depressive symptoms of older adults, especially those who have fewer social interactions. Educating older adults to increase their digital literacy level and use of remote interactions may improve their psychological wellbeing, perhaps even during times of a viral pandemic.

Trajectories of loneliness and objective social isolation and associations between persistent loneliness and self-reported personal recovery in a cohort of secondary mental health service users in the UK

BACKGROUND

Loneliness is a frequent and distressing experience among people with mental health problems. However, few longitudinal studies have so far investigated the trajectories of loneliness and objective social isolation, and the extent to which both issues may impact mental health outcomes among mental health service users. Therefore, this study aims to describe the trajectories of loneliness and objective social isolation and their associations with self-rated personal recovery among people leaving crisis resolution teams (CRTs).

METHODS

A total of 224 participants receiving care from CRTs (recruited for a large multi-site randomised controlled trial) were included in this longitudinal cohort study. They completed the eight-item University of California at Los Angeles Loneliness Scale (ULS-8), Lubben-Social Network Scale (LNSN-6), and the Questionnaire about the Process of Recovery (QPR) (primary outcome) at baseline, 4- and 18-month follow-up, as well as baseline sociodemographic and clinical variables.

RESULTS

We compared groups who were persistently lonely (at all time points), intermittently lonely (at one or two time points) and never lonely. After adjusting for all potential confounders and baseline predictive variables, persistent severe loneliness was associated with worse personal recovery at 18-month follow-up compared with the never lonely (reference group) (coef. = - 12.8, 95% CI -11.8, - 3.8, p < .001), as was being intermittently lonely (coef. = - 7.8, 95% CI -18.8, - 6.8, p < .001). The persistently objectively social isolated group (coef. = - 9.8, 95% CI -15.7, - 3.8, p = .001) also had poorer self-rated recovery at 18-month follow-up than those who were not socially isolated at any timepoint (i.e., reference category).

CONCLUSION

Results suggest that both persistent loneliness and objective social isolation are associated with poorer self-rated recovery following a crisis, compatible with a causal relationship. These findings suggest a potential role for interventions aimed at alleviating loneliness and objective social isolation in improving recovery outcomes for people with mental health symptoms. Increased awareness of both issues among health practitioners is also warranted.

Factors associated with depressive symptoms among the elderly in China: structural equation model

OBJECTIVES

To establish a structural equation model for exploring the direct and indirect relationships of depressive symptoms and their associated factors among the Chinese elderly population.

DESIGN

A cross-sectional research. The 2015 data from the China Health and Retirement Longitudinal Study (CHARLS) were adopted.

SETTING

CHARLS is an ongoing longitudinal study assessing the social, economic, and health status of nationally representative samples of middle-aged and elderly Chinese residents.

PARTICIPANTS

A total of 5791 participants aged 60 years and above were included.

MEASUREMENTS

Depressive symptoms were used as the study outcome. Sociodemographic characteristics, poor health status, unhealthy habits, and sleep duration were used as predictors. Confirmatory factor analysis was first conducted to test the latent variables. Structural equation model was then utilized to examine the associations among latent variables and depressive symptoms.

RESULTS

The mean age of the participants was 68.82 ± 6.86 years, with 55.53% being males. The total prevalence of depressive symptoms was 37.52%. The model paths indicated that sociodemographic characteristics, poor health status, unhealthy habits, and sleep duration were directly associated with depressive symptoms, and the effects were 0.281, 0.509, -0.067, and -0.162, respectively. Sociodemographic characteristics, unhealthy habits, and sleep duration were indirectly associated with depressive symptoms, mediating by poor health status. Their effects on poor health status were -0.093, 0.180, and -0.279, respectively. All paths of the model were significant (P < 0.001). The model could explain 40.9% of the variance in the depressive symptoms of the Chinese elderly population.

CONCLUSIONS

Depressive symptoms were significantly associated with sociodemographic characteristics, poor health status, unhealthy habits, and sleep duration among Chinese elderly population. The dominant predictor of depressive symptoms was poor health status. Targeting these results might be helpful in rationally allocating health resources during screening or other mental health promotion activities for the elderly.

A New Social Network Scale for Detecting Depressive Symptoms in Older Japanese Adults

Social engagement and networking deter depression among older adults. During the COVID-19 pandemic, older adults are especially at risk of isolation from face-to-face and non-face-to-face interactions. We developed the National Center for Geriatrics and Gerontology Social Network Scale (NCGG-SNS) to assess frequency of, and satisfaction with, social interactions. The NCGG-SNS consists of four domains: face-to-face/non-face-to-face interactions with family/friends. Each domain score is obtained by multiplying frequency ratings by satisfaction ratings for each item; all scores were summed to obtain a total NCGG-SNS score (range: 0–64). Additionally, face-to-face and non-face-to-face subscores were calculated. Higher scores indicated satisfactory social networking. A cohort of 2445 older Japanese adults completed the NCGG-SNS and the Geriatrics Depression Scale-Short form. Receiver Operating Characteristic (ROC) analysis and logistic regression determined predictive validity for depressive symptoms. Depressive symptoms were reported by 284 participants (11.6%). The optimal NCGG-SNS cut-off value to identify depressive symptoms was 26.5 points. In logistic regression analysis adjusted for potential confounders, lower NCGG-SNS values were significantly associated with greater prevalence of depressive symptoms. Face-to-face and non-face-to-face subscores were associated with depressive symptoms. The NCGG-SNS is a valid and useful indicator of multidimensional social networking enabling identification of depressive symptoms in older adults.