scholarly journals A Group-based Dual Trajectory of Depression and Anxiety in Older Adults: An 8-year Follow-up of Population-based Study

2021 ◽  
Author(s):  
Yanzhao Cheng ◽  
Lilian Thorpe ◽  
Rasel Kabir ◽  
Hyun Ja Lim
Keyword(s):  
Older Adults ◽  
Panel Study ◽  
Policy Decision ◽  
The Elderly ◽  
Population Based ◽  
Decision Makers ◽  
Depression And Anxiety ◽  
Population Based Study ◽  
Health Policy Decision

Abstract Background: Depression and anxiety are common mental health conditions for elderly population. Understanding the trajectory developments of them will help us implementing treatments and interventions.Aims: This study aims to identify depression and anxiety trajectories in the elderly, evaluate the interrelationship of these conditions, and recognize trajectory-predicting characteristics.Methods: Group-based dual trajectory modeling (GBDTM) was applied to the data of 3,983 individuals, aged 65 years or older who participated in the Korean Health Panel Study between 2008 and 2015. Logistic regression was used to identify the association between characteristics and trajectory groups.Results: Four trajectory groups from GBDTM were identified in both the depression and anxiety outcomes. Depression has: “low-flat (87.0%)”, “low-to-middle (8.8%)”, “low-to-high (1.3%)” and “high-stable (2.8%)” trajectory groups. Anxiety has: “low-flat (92.5%)”, “low-to-middle (4.7%)”, “high-to-low (2.2%)” and “high-curve (0.6%)” trajectory groups. Interrelationship between depression and anxiety were identified. Members of the high-stable depression group were more likely to have “high-to-low” or “high-curved” anxiety trajectories. Female sex, the presence of more than three chronic diseases, and having income generating activity were significant factors in depression and anxiety.Conclusions: Dual trajectory analysis of depression and anxiety in older adults shows that when one condition is present, the probability of the other is increased. Sex, having more chronic disease, and income generating activity might be at increased risks for both depression and anxiety. Health policy decision-makers can use our findings in developing strategies for prevention of both depression and anxiety in older adults.

scholarly journals Latent class growth modeling of depression and anxiety in older adults: an 8-year follow-up of a population-based study

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Yanzhao Cheng ◽  
Lilian Thorpe ◽  
Rasel Kabir ◽  
Hyun Ja Lim
Keyword(s):  
Older Adults ◽  
Chronic Diseases ◽  
Latent Class ◽  
Adult Population ◽  
Panel Study ◽  
Policy Decision ◽  
Population Based ◽  
Depression And Anxiety ◽  
Health Policy Decision ◽  
Older Adult Population

Abstract Background Depression and anxiety are common mental health conditions in the older adult population. Understanding the trajectories of these will help implement treatments and interventions. Aims This study aims to identify depression and anxiety trajectories in older adults, evaluate the interrelationship of these conditions, and recognize trajectory-predicting characteristics. Methods Group-based dual trajectory modeling (GBDTM) was applied to the data of 3983 individuals, aged 65 years or older who participated in the Korean Health Panel Study between 2008 and 2015. Logistic regression was used to identify the association between characteristics and trajectory groups. Results Four trajectory groups from GBDTM were identified within both depression and anxiety outcomes. Depression outcome fell into “low-flat (87.0%)”, “low-to-middle (8.8%)”, “low-to-high (1.3%)” and “high-stable (2.8%)” trajectory groups. Anxiety outcome fell into “low-flat (92.5%)”, “low-to-middle (4.7%)”, “high-to-low (2.2%)” and “high-curve (0.6%)” trajectory groups. Interrelationships between depression and anxiety were identified. Members of the high-stable depression group were more likely to have “high-to-low” or “high-curved” anxiety trajectories. Female sex, the presence of more than three chronic diseases, and being engaged in income-generating activity were significant predictors for depression and anxiety. Conclusions Dual trajectory analysis of depression and anxiety in older adults shows that when one condition is present, the probability of the other is increased. Sex, having more than three chronic diseases, and not being involved in income-generating activity might increase risks for both depression and anxiety. Health policy decision-makers may use our findings to develop strategies for preventing both depression and anxiety in older adults.

Trajectories of Depression and Their Predictors in a Population-Based Study of Korean Older Adults

2020 ◽  
pp. 009141502094440
Author(s):  
Hyun Ja Lim ◽  
Yanzhao Cheng ◽  
Rasel Kabir ◽  
Lilian Thorpe
Keyword(s):  
Older Adults ◽  
Latent Class ◽  
Growth Models ◽  
Policy Decision ◽  
Well Being ◽  
The Elderly ◽  
Population Based ◽  
Depression Group ◽  
Health Policy Decision ◽  
Group Members

The aim of this study was to determine trajectories of depression in older adults and to identify predictors of membership in the different trajectory groups. A total of 3983 individuals aged 65 or older were included. Latent class growth models were used to identify trajectory groups. Of 3983 individuals, 2269 (57%) were females, with a mean baseline age of 72.4 years ( SD = 6 years). Four depression trajectories were identified across 8 years of follow-up: “low-flat” ( n = 3636; 86.6%), “low-to-middle” ( n = 214; 9.2%), “low-to-high” ( n = 31; 1.3%), and “high-stable” ( n = 102; 2.9%). Compared to the low-flat depression group, high-stable depression group members were more likely to be female, have three or more chronic diseases, and were more likely not to own a home. Our findings will assist health policy decision-makers in planning intervention programs targeting those most likely to experience persistent depression in order to improve psychological well-being in the elderly.

scholarly journals Associations of orthostatic hypotension with dementia in older adults: A 12‐year follow‐up population‐based study

2020 ◽  
Vol 16 (S10) ◽  
Author(s):  
Xin Xia ◽  
Rui Wang ◽  
Davide Liborio Vetrano ◽  
Giulia Grande ◽  
Erika J Laukka ◽  
...  
Keyword(s):  
Older Adults ◽  
Orthostatic Hypotension ◽  
Population Based ◽  
Population Based Study

Are Changes in Walking for Transportation in Brazilian Older Adults Associated With Attributes of the Neighborhood Environment?

2020 ◽  
pp. 1-9
Author(s):  
Francisco Timbó de Paiva Neto ◽  
Gabriel Claudino Budal Arins ◽  
Eleonora d’Orsi ◽  
Cassiano Ricardo Rech
Keyword(s):  
Older Adults ◽  
International Physical Activity Questionnaire ◽  
Multinomial Logistic Regression ◽  
Population Based ◽  
Neighborhood Environment ◽  
Population Based Study ◽  
Environment Perception ◽  
Walking For Transportation ◽  
Activity Questionnaire

This study aims to examine the association between neighborhood environment attributes and changes in walking for transportation among older adults. Longitudinal analysis was performed considering a population-based study (EpiFloripa Idoso), carried out in 2009–2010 with follow-up in 2013–2014. Changes in walking, obtained with the International Physical Activity Questionnaire during both waves were associated with data from the environment perception, evaluated using individual items from the Neighborhood Environment Walkability Scale (baseline only) performing multinomial logistic regression. A total of 1,162 older adults (65.2% women, mean age = 73.7 years) participated. Those who reported the presence of parks and squares (OR = 2.44, 95% confidence interval [CI; 1.70, 3.51]), sidewalks (OR = 1.66, 95% CI [1.03, 2.70]), crosswalks (OR = 1.69, 95% CI [1.05, 2.72]), illuminated streets (OR = 2.80, 95% CI [1.24, 6.33]), and safety for day walks (OR = 1.93, 95% CI [1.14, 3.24]) were more likely to remain active or become active when commuting (≥150 min/week). Older adults are more active in neighborhoods that present more favorable attributes regarding walking for transportation.

scholarly journals Self-reported vaccination in the elderly: SABE study Bogotá, Colombia

2016 ◽  
pp. 25-30 ◽  
Author(s):  
Carlos Cano ◽  
Carlos Reyes Ortiz ◽  
Miguel Germán Borda ◽  
Antonio Arciniegas
Keyword(s):  
Older Adults ◽  
Multivariate Analyses ◽  
The Elderly ◽  
Sociodemographic Factors ◽  
Population Based ◽  
Cross Sectional ◽  
Population Based Study ◽  
Health Care Coverage ◽  
Tetanus Vaccination ◽  
The City

Objective: To assess the self-reported vaccination in older adults within the city of Bogotá and its distribution by sociodemographic factors. Methods: Data analyzed was taken from the SABE-Bogotá study. A total of 2000 persons aged 60 years and older were selected for this cross-sectional population-based study. Bivariate and multivariate analyses were performed testing the association between vaccination and sociodemographic factors. Results: A total of 73.0% of respondents received the influenza vaccine, 57.8% received pneumococcal vaccine and 47.6% received tetanus vaccine. In multivariate analyses, individuals aged between 65-74 years had higher odds of receiving influenza, pneumococcus and tetanus vaccination, compared to those between 60-64 years. Older adults with higher socioeconomic status (SES) had lower odds of having influenza and pneumococcus vaccines, compared to those with lower SES (OR= 0.16 95% confidence intervals= CI 0.08-0.30; OR 0.20 95% CI 0.10-0.38, respectively). Individuals covered by health insurance (contributive or subsidized) had higher odds (between 3 and 5 times higher) of having influenza, pneumococcus and tetanus vaccination, compared to those with no insurance. Conclusion: Older adults between 65 and 74 years, those with health care coverage and people with low SES are groups that have increased odds for self-reported vaccination. Further studies should identify factors that increase vaccination coverage in these groups and implement interventions targeted at improving coverage among older adults in general.

scholarly journals Grandparent Caregiving, Race, and Cognitive Functioning in a Population-Based Sample of Older Adults

2017 ◽  
Vol 31 (3) ◽  
pp. 415-438 ◽  
Author(s):  
Rodlescia S. Sneed ◽  
Richard Schulz
Keyword(s):  
Older Adults ◽  
African American ◽  
Depressive Symptoms ◽  
Cognitive Functioning ◽  
Population Based ◽  
Population Based Study ◽  
Grandparent Caregiving ◽  
Baseline Health ◽  
Retirement Study

Objective: The aim of this study was to evaluate the association between noncustodial grandparent caregiving and cognition using the Health and Retirement Study (HRS), a population-based study of older adults. Method: Participants were White and African American grandparents aged ≥65 years. Only noncustodial grandparents who reported not living with their grandchildren over the three waves were included in our analyses. Grandparent caregiving status and cognition were assessed in 2006, 2008, and 2010. Analyses controlled for demographics, baseline health, depressive symptoms, and baseline cognition. Results: Both the number of waves of grandparent caregiving and the total number of grandparent caregiving hours across the three waves were associated with better cognitive functioning at 4-year follow-up in 2010. Associations were observed among Whites, but not among African Americans. Discussion: This study uses longitudinal data to evaluate the association between grandparent caregiving and cognitive functioning. Findings suggest that providing care may be beneficial for some grandparents.

Built Environment and Walking Behavior Among Brazilian Older Adults: A Population-Based Study

2016 ◽  
Vol 13 (6) ◽  
pp. 617-624 ◽  
Author(s):  
Marui Weber Corseuil Giehl ◽  
Pedro Curi Hallal ◽  
Claudia Weber Corseuil ◽  
Ione J. Ceola Schneider ◽  
Eleonora d’Orsi
Keyword(s):  
Physical Activity ◽  
Older Adults ◽  
Built Environment ◽  
The Elderly ◽  
Population Based ◽  
Activity Levels ◽  
Population Based Study ◽  
Middle Income ◽  
Walking Behavior ◽  
Neighborhood Built Environment

Background:Understanding the built environment influence on specific domains of walking is important for public health interventions to increase physical activity levels among older adults.Purpose:The purpose was to investigate the association between built environment characteristics and walking among older adults.Methods:A population-based study was performed in 80 census tracts in Florianópolis, Brazil, including 1,705 older adults (60+ years old). Walking was measured using the International Physical Activity Questionnaire. Built environment characteristics were assessed through a geographic information system. All analyses were conducted through a multilevel logistic regression.Results:Individuals living in neighborhoods with a higher population density (odds ratio [OR]: 2.19; 95% confidence interval [CI], 1.40–3.42), with a higher street connectivity (OR: 1.85; 95% CI, 1.16–2.94), a higher sidewalk proportion (OR: 1.77; 95% CI, 1.11–2.83), and paved streets (medium tertile: OR: 1.61, 95% CI, 1.04–2.49; highest tertile: OR: 2.11; 95% CI, 1.36–3.27) were more likely to walk for transportation. Regarding walking for leisure, only 2 predictors were associated, area income (OR: 1.48; 95% CI, 1.04–2.12) and street density (OR: 1.47; 95% CI, 1.02–2.10).Conclusions:Improving the neighborhood built environment is an important step for achieving higher levels of walking in the elderly population in a middle-income country.

The Functional Continuum Scale in Relation to Hospitalization Density in Older Adults: The FRADEA Study

2021 ◽  
Author(s):  
Rubén Alcantud Córcoles ◽  
Fernando Andrés-Pretel ◽  
Pedro Manuel Sánchez-Jurado ◽  
Almudena Avendaño Céspedes ◽  
Cristina Gómez Ballesteros ◽  
...  
Keyword(s):  
Older Adults ◽  
Daily Living ◽  
Incidence Rate Ratio ◽  
Population Based ◽  
Regression Analyses ◽  
Population Based Study ◽  
Kaplan Meier ◽  
Continuum Scale ◽  
The Relationship

Abstract Background There is a need to know the relationship between function and hospitalization risk in older adults. We aimed at investigating whether the Functional Continuum Scale (FCS), based on basic (BADL) and instrumental (IADL) activities of daily living and frailty, is associated with hospitalization density in older adults across 12 years of follow-up. Methods Cohort study, with a follow-up of 12 years. A total of 915 participants aged 70 years and older from the Frailty and Dependence in Albacete (FRADEA) study, a population-based study in Spain, were included. At baseline, the FCS, sociodemographic characteristics, comorbidity, number of medications, and place of residence were assessed. Associations with first hospitalization, number of hospitalizations, and 12-year density of hospitalizations were assessed using Kaplan–Meier curves, Poisson regression analyses, and density models. Results The median time until the first hospitalization was shorter toward the less functionally independent end of the FCS, from 3917 days (95% confidence interval [CI] 3701–3995) to 1056 days (95% CI 785–1645) (p < .001). The incidence rate ratio (IRR) for all hospitalizations increased from the robust category until the frail one (IRR 1.89), and thereafter it decreased until the worse functional category. Those who were BADL dependent presented an increased hospitalization density in the first 4 follow-up years (58%), those who were frail in the third-to-sixth follow-up years (55%), while in those prefrail or robust the hospitalization density was homogeneous during the complete follow-up. Conclusions The FCS is useful for stratifying the risk of hospitalization and for predicting the density of hospitalizations in older adults.

scholarly journals Dementia is the major cause of functional dependence in the elderly: 3-year follow-up data from a population-based study.

1998 ◽  
Vol 88 (10) ◽  
pp. 1452-1456 ◽  
Author(s):  
H Agüero-Torres ◽  
L Fratiglioni ◽  
Z Guo ◽  
M Viitanen ◽  
E von Strauss ◽  
...  
Keyword(s):  
Functional Dependence ◽  
The Elderly ◽  
Population Based ◽  
Population Based Study

scholarly journals Incidence and prevalence of diabetes self-reported on elderly in south of Brazil: results of EpiFloripa Ageing Study

2019 ◽  
Vol 24 (11) ◽  
pp. 4191-4200
Author(s):  
Carla Elane Silva dos Santos ◽  
Cassiano Ricardo Rech ◽  
Danielle Ledur Antes ◽  
Ione Jayce Ceolla Schneider ◽  
Eleonora d’Orsi ◽  
...  
Keyword(s):  
Waist Circumference ◽  
Odds Ratio ◽  
The Elderly ◽  
Population Based ◽  
Formal Schooling ◽  
Anthropometric Data ◽  
Population Based Study ◽  
Ageing Study ◽  
South Of Brazil

Abstract This study investigated the prevalence and incidence of diabetes self-referred in the elderly. Longitudinal population-based study (EpiFloripa Ageing Study), with 1.702 elderly in 2009/10 and 1.197 in 2013/14 of Florianópolis, SC. Self-reported and anthropometric data were collected at home. The prevalence of diabetes self-referred in 2009/10 was 22.1% (95%CI 20.1-24.1). The characteristics were: no formal schooling (2.30; CI95% 1.32-4.00); 5 to 8 years of schooling (OR = 1.70, CI95% 1.07-2.69); increased waist circumference (OR = 3.31, CI95% 2.05-5.34) and hypertension (OR = 2.38, CI95%: 1.68-3.36). The incidence of diabetes self-reported after four years of follow-up was 8.3% (95% CI, 6.7-10.3). After adjustment: increased waist circumference (OR= 2.23, CI95% 1.09-4.57) at baseline was associated with the incidence of diabetes. The prevalence and incidence of diabetes were high among the elderly. Interventions must be performed especially with elderly with low and without formal schooling, with increased waist circumference and hypertension, thus they were the subgroups with higher odds ratio of reporting and developing diabetes.

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