scholarly journals Association of Social Relationships and Depression Among Older Mexican Adults: Does a Rural or Urban Context Matter?

2021 ◽  
Vol 5 (Supplement_1) ◽  
pp. 505-505
Author(s):  
Paige Downer ◽  
Rebeca Wong

Abstract Social characteristics such as strong community and family ties have been associated with positive mental health outcomes in older adults. However, this evidence is based primarily on non-Hispanic White populations and may vary according to living in a rural versus urban community. We hypothesize that the positive impact of available social networks, perceived support, and social participation on older Mexican adults’ likelihood for high depressive symptoms (i.e., depression) will be greater for those living in rural (community < 2,500 people) than urban communities. Data came from the 2012 Wave of the Mexican Health and Aging Study. Depressive symptoms were measured using a 9-item version of the Center for Epidemiologic Studies Depression Scale. Social participation is the respondent’s self-reported participation in hobbies, religious activities, volunteering, and visits with neighbors. Available social network is measured as having relatives and/or good friends living in the neighborhood. Perceived support is the respondent’s perception of friends/family’s willingness to help with finances and personal care. The final sample of 6,266 respondents was majority (62.4%) female, mean age of 69 years, 17.8% lived in a rural community, and 34.5% with depression. Logistic regression models stratified by rural/urban indicated that available social network and perceived social support were not associated with depression in rural or urban communities. In general, the social participation activities were associated with significantly lower odds of depression for older adults living in urban but not rural communities. This research highlights the influence of older adults’ community on their social relationships and mental health.

2015 ◽  
Vol 28 (1) ◽  
pp. 39-47 ◽  
Author(s):  
Kimberly J. Stoeckel ◽  
Howard Litwin

ABSTRACTBackground:To examine the role of meaningful relationship characteristics, defined here as social network type, in relation to the association between functional impairment and depressive symptoms.Methods:The sample included respondents aged 65 years and older (n = 26,401) from the fourth wave of the Survey of Health, Ageing and Retirement in Europe (SHARE). Respondents were classified into one of seven relationship network types (Distal Children (living at a distance), Proximal Family (living nearby), Spouse, Other Family, Friend, Other, and No Network) according to the predominant characteristics of their most meaningful relationships. A two-stage regression analysis was performed in which the number of depressive symptoms was first regressed on the extent of functional impairment and network type, controlling for sociodemographic characteristics, cognition, health, and country. In the second stage, variables representing the interactions between functional impairment and network type were considered.Results:The compositional characteristics of respondents’ relationships in later life, as defined by social network type, were associated with depressive symptoms. In particular, when experiencing functional impairment, those without any meaningful relationships were found to have more depressive symptoms when compared to all other network types. The findings underscore the importance of meaningful relationships for the mental health of older adults experiencing functional impairment as well as the risk of experiencing depression among those who maintain no personal social network.Conclusions:The study shows that differing constellations of meaningful relationships in later life yield different associations with mental health, especially when taking functional limitations into account.


2015 ◽  
Vol 28 (1) ◽  
pp. 49-61 ◽  
Author(s):  
Tim D. Windsor ◽  
Pilar Rioseco ◽  
Katherine L. Fiori ◽  
Rachel G. Curtis ◽  
Heather Booth

ABSTRACTBackground:Social relationships are multifaceted, and different social network components can operate via different processes to influence well-being. This study examined associations of social network structure and relationship quality (positive and negative social exchanges) with mental health in midlife and older adults. The focus was on both direct associations of network structure and relationship quality with mental health, and whether these social network attributes moderated the association of self-rated health (SRH) with mental health.Methods:Analyses were based on survey data provided by 2001 (Mean age = 65, SD = 8.07) midlife and older adults. We used Latent Class Analysis (LCA) to classify participants into network types based on network structure (partner status, network size, contact frequency, and activity engagement), and used continuous measures of positive and negative social exchanges to operationalize relationship quality. Regression analysis was used to test moderation.Results:LCA revealed network types generally consistent with those reported in previous studies. Participants in more diverse networks reported better mental health than those categorized into a restricted network type after adjustment for age, sex, education, and employment status. Analysis of moderation indicated that those with poorer SRH were less likely to report poorer mental health if they were classified into more diverse networks. A similar moderation effect was also evident for positive exchanges.Conclusions:The findings suggest that both quantity and quality of social relationships can play a role in buffering against the negative implications of physical health decline for mental health.


2019 ◽  
Vol 3 (Supplement_1) ◽  
pp. S869-S870
Author(s):  
L Paige B Downer ◽  
Rebeca Wong

Abstract The incidence of mental health problems, specifically depression, are increasing among older adults. Previous research identified psychosocial characteristics related to mental resiliency, such as increased conscientiousness and internal locus of control, as contributing to improved health behaviors and better physical and mental health outcomes. This study identifies the association between these psychosocial traits and depressive symptomatology among Mexican adults aged 50 and older using Wave 4 of the Mexican Health and Aging Study (2015). We hypothesize that psychosocially ‘strong’ older Mexican adults, those with higher levels of conscientiousness and an internal locus of control, will report fewer depressive symptoms; we theorize that gender moderates this relationship. Older Mexican adults’ mental health status was measured through depressive symptomatology using a 9-item version of the Centers for Epidemiologic Studies-Depression (CES-D) scale. Conscientiousness was measured using a 6-item sub-dimension of the “Big 5” personality scale. Locus of control was measured using an 8-item scale adapted from Rotter (1966). Multivariable linear regression was performed and adjusted for socio-demographic characteristics and comorbid chronic health conditions. Depressive symptoms were lower with higher age and formal education; however, older adults in rural environments who are divorced/separated or widowed exhibit higher depressive symptoms. The association between conscientiousness and depressive symptoms differed by gender. Locus of control and conscientiousness influenced depressive symptomatology in men, however, only conscientiousness impacted women’s depressive symptoms. Continued research is needed to assess psychosocial changes over the life-course as they contribute to resilience from adverse life-events that influence mental health in old age.


2016 ◽  
Vol 33 (S1) ◽  
pp. S178-S179
Author(s):  
Z. Santini ◽  
K.L. Fiori ◽  
S. Tyrovolas ◽  
J.M. Haro ◽  
J. Feeney ◽  
...  

IntroductionInterpersonal stressors and social isolation are detrimental for emotional health, but how these factors are related to loneliness and altogether influence risk for mental disorders is not well understood.ObjectivesTo examine the mediating role of loneliness in the associations of relationship quality and social networks with depressive symptoms, anxiety, and worry among a sample of Irish men and women in late-life.AimsTo determine the gender-specific risk for mental disorder associated with poor social relationships and loneliness among older adults.MethodsData came from the Irish Longitudinal Study on Ageing (TILDA). Nationally representative data on 6105 community-dwelling adults aged > 50 years were analyzed. Follow-up data was obtained two years after cohort inception. Multivariable linear regressions and mediation analyses were used to assess the associations. Analyses were stratified by gender.ResultsBetter spousal relationship quality was protective against depressive symptoms and worry for men. For both genders, support from friends was protective against depressive symptoms, and better relationship quality with children was protective against depressive symptoms and worry. Social network integration was inversely related to depressive symptoms for men. Loneliness significantly mediated most associations (Tables 1–3).ConclusionsHigh quality spousal relationships and social integration appear to play a more central role for mental health among men than for women. For both genders, poor social relationships increase feelings of loneliness, which in turn worsens mental health. Interventions to improve relationship quality and social networks, with a focus on reducing loneliness, may be beneficial for the prevention of mental disorders among older adults.Disclosure of interestThe authors have not supplied their declaration of competing interest.


2021 ◽  
Vol 12 ◽  
Author(s):  
Shujuan Xiao ◽  
Huang Lin ◽  
Chongbang Zhao ◽  
Xiao Zheng ◽  
Lei Shi ◽  
...  

Objectives: Social participation may prevent depressive symptoms in older adults. But research to date ignores gender differences in the associations between social participation and depressive symptoms. The purpose of this study was to determine the effect of different type and frequency of social participation on depressive symptoms, as well as if there is a gender difference in these correlations among older Chinese adults.Methods: Data was obtained from adults aged 60 years or above in the 2018 China Health and Retirement Longitudinal Survey, a nationally representative sample of older adults in China. Depressive symptoms were measured using CESD-10. Social participation included participation in social groups, hobby groups, sports groups, and community-related organizations. The independent relationships between each type of social participation and depressive symptoms were assessed using multiple linear regression models.Results: A total of 6,287 older adults were included in this analysis, of whom 49.69% were women. Participating in social groups, sports groups, and community-related organizations with a frequency of one or more per week was all linked to better mental health. Furthermore, our findings suggest that the positive relationship between participation in social groups, hobby groups, and community-related organizations and depressive symptoms is more flexible for older men than for women.Conclusions: Older individuals who participate in social participation at a high frequency may have better mental health. The findings provide novel insights into mental health from the standpoint of social participation in older adults. Gender differences in the associations between social participation and depressive symptoms need to be considered when formulating interventions to prevent depression.


2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 404-404
Author(s):  
Joseph Kim ◽  
Kyuree Kim

Abstract The purpose of this study was to identify the profiles of older adults according to lifestyle. Data for the study were from the 2017 Consumption and Activities Mail Survey (CAMS). CAMS 2017 is a questionnaire mailed to a sub-sample of respondents from the Health and Retirement Study. Participants were limited to older adults 65 and older, and the final sample consisted of 1136 older adults. The sample included 443 men and 693 women. Caucasians comprised 82.0% of the participants. Lifestyle was measured through items assessing the amount of time spent on activities. Due to high skewness, the items were dichotomized, 0=no time spent on activity and 1=time spent on the activity. Latent class analysis (LCA) was performed to identify groups based on lifestyle. LCA is a person-centered approach for identifying unobserved subgroups based on similarity in responses to items. Three lifestyle groups were identified. Group 1 was “Outgoing” with 471 individuals. Group 2 was “Adequate” with 229 individuals. Group 3 was “Inactive” with 436 individuals. An ANOVA was then conducted to assess mean differences in self-rated health, cognition, depressive symptoms, and loneliness for the three lifestyle groups. The “Outgoing” and “Adequate” groups had significantly higher scores on self-rated health and cognition, and in addition, significantly lower scores on depressive symptoms and loneliness compared to the “Inactive” group. No significant differences were observed between the “Outgoing” and “Adequate” groups. An implication from this study is the importance of maintaining an active lifestyle in later life for better mental health and cognition.


2021 ◽  
Vol 30 (11) ◽  
pp. 652-655
Author(s):  
Carlos Laranjeira

The COVID-19 pandemic compelled states to limit free movement, in order to protect at-risk and more vulnerable groups, particularly older adults. Due to old age or debilitating chronic diseases, this group is also more vulnerable to loneliness (perceived discrepancy between actual and desired social relationships) and social isolation (feeling that one does not belong to society). This forced isolation has negative consequences for the health of older people, particularly their mental health. This is an especially challenging time for gerontological nursing, but it is also an opportunity for professionals to combat age stereotypes reinforced with COVID-19, to urge the measurement of loneliness and social isolation, and to rethink how to further adjust interventions in times of crisis, such as considering technology-mediated interventions in these uncertain times.


2019 ◽  
Vol 3 (Supplement_1) ◽  
pp. S880-S880
Author(s):  
Zhiyong Lin

Abstract As the processes of urbanization and globalization have intensified across the world, a burgeoning literature has documented the impact of emigration on the health of family members left behind in emigrant communities. Although the association between children’s migration and parental well-being is well documented, few have examined the health implications of children’s migration in the milieu of multiple children and further differentiated between children’s short-term and long-term migration. Therefore, I argue that it is not the geographic locality of a single child but the composition of all children’s location that matters. I further suggest that the impact of children’s migration on parental wellbeing is conditioned on the duration of children’s migration. Using a six waves longitudinal data (2001-2015) collected in rural China, this paper compares mental health (measured as depressive symptoms) trajectories of old adults (aged 60 and older) across different compositions of local and migrant children over a 14-year span. Results from growth curve models show that parents having more migrant children relative to local children experience a more rapid increase in depressive symptoms. In addition, older adults who have their most children migrate away for three or more waves of data have experienced the steepest rate of increase in depressive symptoms. These findings provide new evidence to support the life course processes of mental health disparities among older adults from the perspective of intergenerational proximity.


2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 251-251
Author(s):  
Kheng Siang Ted Ng ◽  
Shu Cheng Wong ◽  
Glenn Wong ◽  
Ee Heok Kua ◽  
Anis Larbi ◽  
...  

Abstract Despite increasing emphasis on assessing the mental health of older adults, there has been inconclusive evidence on whether depression and psychological well-being (PWB) are fundamentally distinct constructs or representations of the opposite ends of the mental health spectrum. To instantiate either hypothesis, investigation of the associations between mental health scales and biomarkers have been proposed. First, we assessed depressive symptoms and PWB in community-dwelling older adults (N=59, mean age=67) using the Self-Rating Depression Scale (SDS) and Ryff’s Scale of PWB (comprising six sub-scales). We measured a wide range of immune markers employing ELISA and flow cytometry. Subsequently, we used principal component analysis (PCA) to aggregate and derived biomarker factor scores. Lastly, multiple linear regressions were performed to examine the associations between the scales and the derived biomarker factor scores, controlling for covariates. PCA extracted six biomarker factors. Biomarker factor score 1 was significantly associated with PWB (β=-0.029, p=0.035) and the PWB sub-scale, self-acceptance (β=-0.089, p=0.047), while biomarker factor score 4 was significantly associated with the PWB sub-scale, purpose in life (β=-0.087, p=0.025). On the other hand, biomarker factor 6 was significantly associated with SDS (β=-0.070, p=0.008). There were mutually- exclusive associations between the scales with biomarker factor scores, supporting the hypothesis of distinct constructs. Our findings expanded the biomarkers of depression and PWB, deepening understanding of the biological underpinnings of depressive symptoms and PWB. These findings have implications in field work, since researchers could not infer one construct from the other, the examination of both constructs are essential.


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