Functions of reminiscence in later life: Predicting change in the physical and mental health of older adults over time

2017 ◽  
Vol 23 (2) ◽  
pp. 246-254 ◽  
Author(s):  
David B. King ◽  
Philippe Cappeliez ◽  
Sarah L. Canham ◽  
Norm O'Rourke
Keyword(s):  
Mental Health ◽  
Older Adults ◽  
Later Life ◽  
Physical And Mental Health ◽  
Over Time

scholarly journals 209 - Sleep and Brain Health in Older Adults

2020 ◽  
Vol 32 (S1) ◽  
pp. 50-50
Keyword(s):  
Mental Health ◽  
Older Adults ◽  
Health Outcomes ◽  
Clinical Care ◽  
Later Life ◽  
Cognitive Outcomes ◽  
Poor Sleep ◽  
Physical And Mental Health ◽  
Brain Health ◽  
Older Adulthood

Mounting evidence suggests that sleep plays an important role in the maintenance of health in later life.? Poor sleep may increase the risk for poor cognitive outcomes and psychopathology, as well as medical conditions common in older adulthood.? This Symposium will feature presentations discussing links of sleep/wake disturbances with physical and mental health outcomes. ?Presenters will integrate novel findings with results from prior research and translate them into practical suggestions to enhance clinical care.

scholarly journals Transitions in Social Network Types over Time among Older Adults

Gerontology ◽  
2022 ◽  
pp. 1-12
Author(s):  
Pildoo Sung ◽  
Rahul Malhotra ◽  
Grand H.-L. Cheng ◽  
Angelique Wei-Ming Chan
Keyword(s):  
Mental Health ◽  
Older Adults ◽  
Social Networks ◽  
Social Network ◽  
Extended Family ◽  
Multinomial Logistic Regression ◽  
Later Life ◽  
Transition Analysis ◽  
Network Composition ◽  
Over Time

<b><i>Objective:</i></b> Network typology studies have identified heterogeneous types of older adults’ social networks. However, little is known about stability and change in social network types over time. We investigate transitions in social network types among older adults, aged 60 years and older, and factors associated with such transitions. <b><i>Methods:</i></b> We used data on 1,305 older adults, participating in 2 waves of a national, longitudinal survey, conducted in 2016–2017 and 2019, in Singapore. Latent transition analysis identified the distinct types of social networks and their transition patterns between the waves. Multinomial logistic regression examined the association of baseline and change in physical, functional, and mental health and baseline sociodemographic characteristics with network transitions into more diverse or less diverse types. <b><i>Results:</i></b> We found 5 social network types at both waves, representing the most to the least diverse types – diverse, unmarried and diverse, extended family, immediate family, and restricted. Between waves, about 57% of respondents retained their social network type, whereas 24% transitioned into more diverse types and 19% into less diverse types. Those who were older and less educated and those with worsening functional and mental health were more likely to transition into less diverse types versus remaining in the same type. <b><i>Discussion:</i></b> The findings capture the dynamics in social network composition among older adults in the contemporary aging society. We highlight sociodemographic and health disparities contributing to later life social network diversity.

scholarly journals Physical Inactivity in Older Adult Couples: A Dyadic Analysis Using Continuous In-Home Monitoring

2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 412-412
Author(s):  
Chao-Yi Wu ◽  
Lyndsey Miller ◽  
Rachel Wall ◽  
Zachary Beattie ◽  
Jeffrey Kaye ◽  
...  
Keyword(s):  
Mental Health ◽  
Older Adults ◽  
Older Adult ◽  
Physical Inactivity ◽  
Home Monitoring ◽  
Health Determinants ◽  
Dyadic Analysis ◽  
Physical And Mental Health ◽  
Positive Health ◽  
Aging Research

Abstract Many older adults remain inactive despite the known positive health implications of physical activity (e.g. improved mood, reduced mortality risk). Physical inactivity is a known interdependent phenomenon in couples, but the majority of research identifies determinants of physical inactivity at the individual level. We estimated the average amount of physical inactivity for older adult couples and, using dyadic analysis, identified physical and mental health determinants thereof. Forty-eight heterosexual older adult couples (mean age=70.6, SD=6.63) from the Veterans Integrated Service Network 20 cohort of the Collaborative Aging Research using Technology (CART) initiative were included in this study. Both dyad members wore actigraph devices for a month. The average number per day of inactive periods (defined as no movement or sleep activity for ≥ 30 minutes) was estimated. Multilevel modeling revealed that, within couples, there was no difference between partners in the average number of inactive periods, but on average across couples, males had more inactive periods per day (13.4, SD=4.43) than females (12.3, SD=4.87). For males, older age was the only variable associated with more inactive periods (β=0.13, p=.013). For females, more depressive symptoms in men were associated with fewer inactive periods (β=-0.37, p=.002), and more dependence in completing their own IADLs predicted more inactive periods (β=2.80, p&lt;.001). All models were adjusted for covariates. Viewing couples’ activity as a unit, rather than as separate individuals, provides a novel approach to identifying pathways to reduce inactivity in older adults, especially when focusing on mental health issues and decreased independence within the couple.

scholarly journals Profile Groups Based on Lifestyle and Differences in Mental Health and Cognition

2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 404-404
Author(s):  
Joseph Kim ◽  
Kyuree Kim
Keyword(s):  
Mental Health ◽  
Older Adults ◽  
Depressive Symptoms ◽  
Latent Class ◽  
Mail Survey ◽  
Later Life ◽  
Self Rated Health ◽  
Final Sample ◽  
Group 2 ◽  
Mean Differences

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.

scholarly journals Contributors to and Consequences of Poor Sleep in Older Adults: Biopsychosocial Perspectives

2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 578-578
Author(s):  
Adam Spira ◽  
Katie Stone
Keyword(s):  
Older Adults ◽  
Sleep Problems ◽  
Later Life ◽  
Poor Sleep ◽  
Physical And Mental Health ◽  
Older Parents ◽  
Use Patterns ◽  
Health Related ◽  
Objectively Measured ◽  
Ecological Momentary

Abstract Sleep is a significant contributor to health and wellbeing across the lifespan, especially in later life. Poor sleep is common among older adults and can be both a risk factor for and consequence of numerous physical and mental health-related outcomes. In this symposium, we will present novel results from four studies that will advance understanding of the biological, psychological, and social factors that may contribute to or result from poor sleep in older adults. Specifically, Study 1 will present findings tying objectively measured sleep to performance on cognitive tasks administered using ecological momentary assessment (EMA) in the day-to-day lives of older adults with or without mild cognitive impairment (MCI). Study 2 will examine associations of personality dimensions and facets with insomnia symptoms in well-functioning older adults. Study 3 will examine psychological pathways linking parent-child relationships to subjective and objective sleep characteristics among older parents. Finally, study 4 will examine use patterns of cannabis for the treatment of sleep problems in older adults, and the ways in which this might differ from patients using cannabis for other reasons (e.g., pain). Together, this symposium will highlight novel links of an array of factors with sleep health in the aging population and their implications for prevention. Sleep, Circadian Rhythms and Aging Interest Group Sponsored Symposium.

scholarly journals Association between accessibility to elementary school and depression in older Adults: JAGES Study

2020 ◽  
Vol 30 (Supplement_5) ◽  
Author(s):  
M Nishida ◽  
M Hanazato ◽  
K Kondo
Keyword(s):  
Mental Health ◽  
Older Adults ◽  
Elementary School ◽  
Odds Ratio ◽  
Local Community ◽  
Depression Scale ◽  
Later Life ◽  
Positive Effects ◽  
Intergenerational Exchange ◽  
Geographical Accessibility

Abstract Background The connection in a local community has diluted in an aging society, and the importance of intergenerational exchange has increased for older adults' health. Some positive effects of intergenerational exchange have reported. For example, a reciprocal intergenerational exchange contributes to better mental health in later life. However, there is little evidence of the relationship between neighborhood environments causing intergenerational exchange and the health status of older adults. This study investigated the association between geographical accessibility to elementary school, enhancing intergenerational exchange, and depression in older adults. Methods The data were retrieved from the Japan Gerontological Evaluation Study (JAGES) 2016, a population-based study of independently living people ≥65 years old. The dependent variable is depression evaluated by the Geriatric Depression Scale (GDS≥5). The geographical accessibility to elementary School is the distance between the representative points of their residences and the nearest elementary school. Logistic regression analysis calculates the odds ratio to determine the association between depression and accessibility to elementary school and compare models to examine the effect of intermediate factors. Results Overall, 20.4% of the participants had depression. Compared with the longest distance from elementary school (≥950m), the odds ratio was 0.91 (95% CI = 0.86, 0.96) for the nearest category (&lt;330m), 0.91 (95% CI = 0.87, 0.96) for the second-nearest (330-490m) and 0.94 (95% CI = 0.89, 0.99) for the third (490-670m) in model 1. After adjusting for intermediate factors, the odds ratio was 0.94 for the first and second-nearest groups. Conclusions Geographical accessibility to elementary school was associated with decreased depression for older adults. The result indicates that older adults' daily meetings with children around elementary schools can result in a positive effect on their mental health. Key messages Geographical accessibility to elementary school was associated with decreased depression for older adults. The neighborhood design enhancing intergenerational exchange might be useful for age-friendly cities.

scholarly journals Parallel Process Latent Growth Modeling of the Relationships Between Social Cohesion and Mental Health in Later Life

2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 307-307
Author(s):  
Sok An ◽  
Kyeongmo Kim ◽  
Minhong Lee
Keyword(s):  
Mental Health ◽  
Social Cohesion ◽  
Mental Health Problems ◽  
Initial Level ◽  
Later Life ◽  
Health Problems ◽  
Latent Growth ◽  
Functional Disabilities ◽  
Score Range ◽  
Over Time

Abstract Previous literature suggests that social factors (e.g., social cohesion, social support) are protective predictors of mental health problems. However, there might be a reciprocal relationship between social factors and mental health and the relationship changes over time. Therefore, this study examined the longitudinal relationship between community social cohesion and mental health using a latent growth curve model with 8 waves of the National Health and Aging Trends Study (NHATS; 2011-2018), a nationally representative panel study of Medicare beneficiaries in the United States. Social cohesion measured the perceived level of mutual trust by three items (score range: 0-6) and mental health was measured by PHQ-4 (score range: 0-12). The final model including covariates (age, gender, functional disabilities) fit the data well: χ2=1036.383, p&lt;.001; RMSEA=.037; CFI=.960; and SRMR=.070. Initial level of social cohesion was negatively associated with initial level of mental health problem (β=−.23, p&lt; .001), suggesting that higher levels of social cohesion was associated with lower levels of mental health problems. The covariance between social cohesion slope and mental health slope was significant (β=−.16, p&lt; .01), suggesting an increase in social cohesion was associated with a decrease in mental health problems over time. Functional disabilities significantly influenced mental health over time, while functional disabilities did not influence social cohesion consistently. This study adds to the growing literature on the ways mental health status and social connection have reciprocal relationships over time. Therefore, mental health status in later life could be decreased by improving social cohesion and connectedness with the community.

scholarly journals The Sense of Smell and Aging: What We Have Learned From Population Studies

2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 810-811
Author(s):  
Jayant Pinto
Keyword(s):  
Mental Health ◽  
Older Adults ◽  
Social Life ◽  
Large Scale ◽  
Population Studies ◽  
Vital Role ◽  
Sensory Function ◽  
Physical And Mental Health ◽  
Sense Of Smell ◽  
Health Aging

Abstract Decline of the sense of smell with age causes a marked impact on older adults, markedly reducing quality of life. Olfactory dysfunction impairs nutrition, decreases the ability to experience pleasure, and results in depression, among other burdens. Large-scale population studies have identified impaired olfaction as a key heath indicator that predicts the development of decreased physical and mental health, reduced physical activity, weight loss, mild cognitive impairment and dementia, and mortality itself. These data have been generated via analyses of data from several aging cohorts, including the National Social Life, Health, and Aging Project (NSHAP); the Beaver Dam cohort; the Atherosclerosis Risk in Communities project; the Rush Memory and Aging Project; the Health, Aging, and Body Composition project; the Washington Heights/Inwood Columbia Aging Project; among others. In this presentation, we will review the close connection between olfaction, health, aging, including discussion of insights from these studies. We will also discuss emerging data from NSHAP on the effects of sensory function on cognition, mental health, and social interaction, which demonstrate that sensory function plays a vital role in the lives of older adults. Part of a symposium sponsored by Sensory Health Interest Group.

scholarly journals Cognition, Health, and Social Support of Formerly Homeless Older Adults in Permanent Supportive Housing

2020 ◽  
Vol 4 (1) ◽  
Author(s):  
Anita M Souza ◽  
Jenny Hsin-Chin Tsai ◽  
Kenneth C Pike ◽  
Francesca Martin ◽  
Susan M McCurry
Keyword(s):  
Mental Health ◽  
Older Adults ◽  
Cognitive Impairment ◽  
Global Mental Health ◽  
Case Managers ◽  
Supportive Housing ◽  
Homeless Population ◽  
Physical And Mental Health ◽  
Permanent Supportive Housing ◽  
Formerly Homeless

Abstract Background and Objectives Formerly homeless older adults residing in Permanent Supportive Housing (PSH) represent an invisible subsector of two distinct, yet related populations: the homeless population and the elderly population. Little research is focused on the complex health concerns facing this aging population within the homelessness response system. Of particular concern is the identification and support of individuals with cognitive impairment and co-occurring chronic conditions. We collaborated with a leading housing services provider to develop a systematic screening system for case managers to capture the cognitive, physical, and psychosocial health of older adults served within homeless housing programs. Research Design and Methods PSH residents aged ≥50 years in four sites screened as being without cognitive impairment on the Mini-Cog were enrolled. A brief demographic survey and selected PROMIS measures were used to characterize participants’ demographics, cognition, global physical and mental health, physical functioning, self-efficacy for social interactions, and instrumental support. PSH case managers were trained to recruit participants and collect data. PROMIS scales were scored using the Health Measures Scoring Service. Descriptive statistics, correlations, and one sample t-tests were performed. Results Fifty-three residents (mean age = 60.8 years, range 50–76 years) participated. The majority self-identified as male and were military veterans; 60% reported having a history of two or more episodes of homelessness. All PROMIS scores were significantly (p &lt; .05) lower than reference U.S. population means, with global mental health and cognition having the lowest scores. Discussion and Implications Self-reported cognitive functioning and global mental health were residents’ greatest concerns. Strengthening housing case manager capacity to assess residents’ cognitive and health status could increase support for older adults in PSH. It is feasible to train PSH staff to conduct structured interviews to identify resident cognitive and health needs to help support this “invisible” population to successfully age in place.

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