scholarly journals Factors Associated with Frailty According to Gender of Older Adults Living Alone

Healthcare ◽  
2021 ◽  
Vol 9 (4) ◽  
pp. 475
Author(s):  
Hye-Young Jang ◽  
Ji-Hye Kim
Keyword(s):  
Older Adults ◽  
Depressive Symptoms ◽  
Nutritional Status ◽  
Chronic Diseases ◽  
Multinomial Logistic Regression ◽  
Living Alone ◽  
Factors Associated ◽  
Chi Squared ◽  
Korean Elderly

This study was conducted to identify the factors associated with frailty according to gender of older adults living alone in Korea. Data from the National Survey of the Living Conditions of Korean Elderly in 2017 were used. Participants were 2340 older adults who live alone. Frailty was determined based on the frailty criteria developed by van Kan et al. that consist of fatigue, resistance, ambulation, and illness. The collected data were analyzed using descriptive statistics, chi-squared test, t-test, Jonckheere–Terpstra test and multinomial logistic regression. Among the older men living alone, 47.7% were in the pre-frail and 5.1% were in the frail. On the other hand, 51.8% were in the pre-frail and 12.2% were in the frail among the older women living alone. The factors associated with frailty according to gender are as follows. In males, depressive symptoms, limitation in IADL, and number of medications in pre-frail; BMI, limitation in IADL, and number of chronic diseases in frail. In females, depressive symptoms, number of chronic diseases, age, and nutritional status in pre-frail; limitation in IADL, depressive symptoms, age, number of chronic diseases, number of medications, nutritional status in frail. Based on the findings of this study, it is considered necessary to approach frailty management considering gender as well as the classification of frailty.

scholarly journals IDENTIFYING THE TRAJECTORIES OF MULTIMORBIDITY AND THEIR CORRELATES AMONG KOREAN OLDER ADULTS

2019 ◽  
Vol 3 (Supplement_1) ◽  
pp. S697-S697
Author(s):  
Sun Ah Lee ◽  
Hey Jung Jun ◽  
Susanna Joo ◽  
Hye Won Chai
Keyword(s):  
Older Adults ◽  
Depressive Symptoms ◽  
Chronic Diseases ◽  
Psychological Health ◽  
Social Engagement ◽  
Multinomial Logistic Regression ◽  
Growth Mixture Modeling ◽  
Older Adulthood ◽  
Logistic Regression Models ◽  
Nationally Representative

Abstract Multimorbidity, the co-existence of two or more chronic diseases, has become prevalent among the older population. This study focused on identifying different patterns of multimorbidity trajectories across older adulthood and examining their predictors. We used six waves of the Korean Longitudinal Study of Aging (KLoSA), a nationally representative longitudinal data collected every two years from 2006 to 2016. The sample was older adults aged 65 years and older in 2006 (N=1,668). Multimorbidity was measured as the self-reported number of medically-diagnosed chronic diseases, and Growth Mixture Modeling was used to examine multimorbidity trajectories. Identified patterns of multimorbidity trajectories were then used as outcome variables in multinomial logistic regression models. Independent variables were socio-demographic, psychological, health-related behavioral and interpersonal factors at baseline. At Wave1, 76% of the sample had no or one chronic disease and 24% had two or more. At Wave6, 49% had none or one and 51% had two or more. Results identified four patterns of multimorbidity trajectory: “maintaining-low” (59.1%; reference), “maintaining-high” (7.3%), “moderately increasing”(26.4%), and “rapidly increasing” (7.2%). In terms of the correlates of these patterns, female older adults and respondents with higher depressive symptoms were more likely to be in the “maintaining-high” group. In addition, respondents who had less frequent meetings with friends, neighbors or relatives were more likely to be in the “rapidly increasing” group. The findings suggest that there are distinct patterns of multimorbidity trajectories across older adulthood, and interventions focusing on depressive symptoms or social engagement may be useful in preventing the increase in multimorbidity.

scholarly journals Factors Associated with Free Hospital Outpatient Service Use among Middle-Aged and Older Urban Homeless Adults in Taipei

2021 ◽  
Vol 18 (10) ◽  
pp. 5330
Author(s):  
Lan-Ping Lin ◽  
Li-Yun Wang ◽  
Tai-Wen Wang ◽  
Yun-Cheng Chen ◽  
Jin-Ding Lin
Keyword(s):  
Logistic Regression ◽  
Depressive Symptoms ◽  
Chronic Diseases ◽  
Service Use ◽  
Outpatient Service ◽  
Homeless People ◽  
Cross Sectional Survey ◽  
Factors Associated ◽  
Hospital Outpatient ◽  
Outpatient Visits

Homeless individuals have many negative experiences with inequality regarding access to and the use of primary healthcare services, so policies to eliminate the disparities in and barriers to primary care access for these people are needed. The aim of this study was to explore the use and determinants of free hospital outpatient services for homeless people, in order to describe the provision of free healthcare policies for this vulnerable population in Taipei. One cross-sectional survey was conducted to recruit homeless people aged 45 years old and over in Taipei in 2018. A structured questionnaire was used, and face-to-face interviews were conducted by three social workers to collect the data. Finally, 129 participants were recruited in the study. The results show that 81.4% of the homeless people had made free hospital outpatient care visits (mean = 5.9 visits) in the last three months. An unadjusted logistic regression analysis showed that those homeless people who reported having usual healthcare providers, with higher depressive symptom scores, who used medication and had been hospitalized within one year, and had more chronic diseases, were significantly more likely to make free hospital outpatient visits. The adjusted logistic regression model indicates that homeless people with severe depressive symptoms (odds ratio (OR) = 9.32, 95% CI = 1.15–56.07), who had received medication (OR = 3.93; 95% CI = 1.06–14.52), and who had more than five chronic diseases (OR = 1.06, 95% CI = 1.35–13.27), were significantly more likely to make free hospital outpatient visits than their counterparts. The findings highlight that homeless people have higher healthcare requirements than the general population, and the healthcare system should pay more attention to factors associated with higher outpatient service use, such as homelessness, severe depressive symptoms, the receipt of medication and chronic diseases.

scholarly journals Factors Associated with Nutritional Status of the Under Five Children

2010 ◽  
Vol 1 (1) ◽  
pp. 6-8 ◽  
Author(s):  
Amita Pradhan
Keyword(s):  
Body Mass Index ◽  
Nutritional Status ◽  
Body Mass ◽  
Multinomial Logistic Regression ◽  
Wealth Index ◽  
Significant Variable ◽  
Under Five ◽  
Factors Associated ◽  
Female Headed Households ◽  
Size At Birth

Objective: To identify factors associated to the nutritional status of under five children.Method: The data used in this analysis are from Demographic and Health Survey 2006 conducted in Nepal. Total 5262 cases are included in the present study. A multinomial logistic regression model is used to study the relation between various factors and nutritional status.Results: Increasing body mass index of mothers and wealth index shows decreasing likelihood of malnutrition among children. Rural children show insignificant higher likelihood of different forms of underweight and wasting as compared to urban area. Frequency of listening radio does not show significant association in case of mild and moderate wasting and shown very high unusual odds ratio in case of severe wasting.  Similarly, lower frequency of watching television also does not show significantly higher likeliness of different form of stunting, underweight and wasting. Female children are more likely to be stunted, underweight and wasted as compared to male. Female headed households are more likely to have moderately and mildly stunted children and mixed results are observed for underweight and wasting. The likelihood for all forms of malnutrition is higher among children with smaller than average size at birth as compared to average or bigger size at birth.  Mixed results are observed regarding likelihood of different forms of malnutrition among children with mothers having different educational level.Conclusion: Body mass index of mothers is found significant variable while explaining children's nutritional status. Similarly, Size at birth is significantly associated with nutrition during the childhood.Keywords: Stunting; wasting; under weight; under five childrenDOI: 10.3126/ajms.v1i1.2927Asian Journal of Medical Sciences Vol.1(1) 2010 p.6-8

scholarly journals Loneliness, hopelessness and suicide in later life: a case–control psychological autopsy study in rural China

2020 ◽  
Vol 29 ◽  
Author(s):  
Lu Niu ◽  
Cunxian Jia ◽  
Zhenyu Ma ◽  
Guojun Wang ◽  
Bin Sun ◽  
...  
Keyword(s):  
Social Support ◽  
Older Adults ◽  
Logistic Regression ◽  
Depressive Symptoms ◽  
Rural China ◽  
Case Control ◽  
Living Alone ◽  
Psychological Autopsy ◽  
Tree Model ◽  
Elderly Suicide

Abstract Aims Loneliness is increasingly recognised as a serious public health issue worldwide. However, there is scarce research addressing the association between loneliness and suicide in older adults in rural China. We set out to examine loneliness and other psychosocial factors in elderly suicide cases and explore their interaction effects. Methods Using a 1 : 1 matched case–control design, data were collected from 242 elderly suicide cases and 242 living community controls by psychological autopsy method in rural China, including demographic characteristics, loneliness, depression, hopelessness and social support. The chi-square automatic interaction detection (CHAID) tree model and multivariable logistic regression analysis were used to explore the relationships of these factors and suicide. Results The CHAID tree model showed that loneliness, hopelessness and depressive symptoms were closely associated with completed suicide and that loneliness and hopelessness interacted with each other. The result of multivariable logistic regression showed that individuals who were unemployed [odds ratio (OR) = 2.344; 95% confidence interval (CI): 1.233–4.457], living alone (OR = 2.176; 95% CI: 1.113–4.254), had lower levels of subjective social support (OR = 2.185; 95% CI: 1.243–3.843), experienced depressive symptoms (OR = 6.700; 95% CI: 3.405–13.182), showed higher levels of hopelessness (OR = 7.253; 95% CI: 3.764–13.974) and felt higher levels of hopelessness × higher levels of loneliness (OR = 2.446; 95% CI: 1.089–5.492) were significantly associated with an elevated suicide risk in older people in rural China. Conclusions Regular evaluation of loneliness, hopelessness and depression can help detect older adults who are at risk of committing suicide. Interventions should target social support systems, particularly among people living alone, to alleviate feelings of loneliness and hopelessness. Treating depression is also key to preventing suicide among elderly people in rural China.

scholarly journals Socio-demographic characteristics and co-occurrence of depressive symptoms with chronic diseases among older adults in China: the China Longitudinal Ageing Social Survey

2019 ◽  
Author(s):  
Zhenjie Wang ◽  
Hanmo Yang ◽  
Zhanyuan Guo ◽  
Bei Liu ◽  
Shen Geng
Keyword(s):  
Older Adults ◽  
Depressive Symptoms ◽  
Chronic Diseases ◽  
Odds Ratio ◽  
Logistic Regression Model ◽  
Depression Scale ◽  
Epidemiological Studies ◽  
Education Attainment ◽  
Cross Sectional ◽  
Social Survey

Abstract Background: The aim of the current study is to assess the cross-sectional association of chronic non-communicable diseases (hypertension, diabetes mellitus, arthritis, and cerebrovascular) with depressive symptoms among older adults in China. Methods: Data was obtained from the China Longitudinal Ageing Social Survey (CLASS) conducted in 2014. A total of 7505 participants were included. Depressive symptoms status was assessed by 9-item Center for Epidemiological Studies Depression Scale (CES-D) Associations between depressive symptoms and chronic diseases, adjusting for so, demographics and chronic diseases risk factors were assessed by using logistic regression model. Results: We found negative associations between depressive symptoms and several socioeconomic factors, including education attainment and economic level. Widowed/divorced/ unmarried individuals are more likely to suffer from depressive symptoms. Hypertension (Odds ratio:1.29 [95%CI:1.16, 1.42]), diabetes (1.41 [95%CI:1.19,1.67]), arthritis (1.72 [1.52, 1.96]), and cerebrovascular disease (1.69 [1.41, 2.02]) were found to be associated with depressive symptoms. Conclusions: Most depressive symptoms cases were found to be significantly associated with chronic diseases. Our findings have provided evidence for understanding co-morbid depressive symptoms with chronic diseases, which could help clinicians to evaluate, diagnose and manage depression promptly.

Alcohol Consumption and Factors Associated With Depressive Symptoms Among Older Adults in Mainland China

2017 ◽  
Vol 48 (6) ◽  
pp. 400-408
Author(s):  
Yujun Liu ◽  
Yimeng Xie ◽  
Nancy Brossoie ◽  
Karen A. Roberto ◽  
Kerry J. Redican
Keyword(s):  
Older Adults ◽  
Depressive Symptoms ◽  
Alcohol Consumption ◽  
Mainland China ◽  
Factors Associated

scholarly journals Prevalence of Malnutrition and Depression in Older Adults Living in Nursing Homes in Mexico City

Nutrients ◽  
2020 ◽  
Vol 12 (8) ◽  
pp. 2429
Author(s):  
María Consuelo Velázquez-Alva ◽  
María Esther Irigoyen-Camacho ◽  
María Fernanda Cabrer-Rosales ◽  
Irina Lazarevich ◽  
Isabel Arrieta-Cruz ◽  
...  
Keyword(s):  
Older Adults ◽  
At Risk ◽  
Depressive Symptoms ◽  
Nursing Homes ◽  
Nutritional Status ◽  
Mexico City ◽  
Prescription Drugs ◽  
Nutritional Assessment ◽  
Depression Scale ◽  
Mini Nutritional Assessment

This study evaluated the association between nutritional status, depressive symptoms, and the number of prescription drugs taken by older adults living in nursing homes in Mexico City. In a cross-sectional study, 262 participants were subjected to anthropometric and nutritional (Mini Nutritional Assessment (MNA)) evaluations; additionally, their depression (Geriatric Depression Scale (GDS)) and functional status were assessed. Multiple logistic regression was used for identifying factors associated with the risk of malnutrition/malnourishment. The mean age of participants was 83.1 ± 8.6 years. A total of 59.9% and 21.1% were at risk of malnutrition and malnourished, respectively. With respect to depression, 27.9% of the participants had mild depression, while 11.4% showed severe depression. An inverse correlation between MNA evaluations and depression scores was found (Spearman’s ρ = −0.4624, p < 0.001); residents with a better nutritional status had lower depression scores. Individuals with depressive symptoms were approximately five times more likely to be at risk of malnutrition or malnourished (OR = 5.82, 95% CI = 2.27–14.89) than individuals without depression. Residents taking three or more prescription drugs daily (OR = 1.83, 95% CI = 1.27–2.63, p < 0.001) were more likely to be at risk of malnutrition or malnourished. In summary, poor nutritional status was associated with depression, while the intake of numerous prescription drugs was associated with being at risk of malnutrition or malnourished.

Functional trajectories before and after a new cancer diagnosis among community-living older adults.

2017 ◽  
Vol 35 (15_suppl) ◽  
pp. e21547-e21547
Author(s):  
Carolyn Jean Presley ◽  
Arti Hurria ◽  
Ling Han ◽  
Linda S Leo-Summers ◽  
Cary Philip Gross ◽  
...  
Keyword(s):  
Older Adults ◽  
Cohort Study ◽  
Depressive Symptoms ◽  
Cancer Diagnosis ◽  
Functional Decline ◽  
Severe Disability ◽  
Factors Associated ◽  
Disability Scale ◽  
Incident Cancer ◽  
Before And After

e21547 Background: We characterized distinct functional trajectories among older adults in the year before and after a new cancer diagnosis and identified factors associated with functional decline. Methods: Among a cohort study of persons 70+ y, we identified 170 participants (lung (15.7%), breast (12.4%), prostate (7.8%); 31.8% incurable at diagnosis)) with an incident cancer diagnosis from 1998-2014. We followed their functional course using 13 basic, instrumental, and mobility activities measured during monthly interviews. To identify functional trajectories, we fit a group-based trajectory model of the 13-item disability scale 12-months before and 12-months after the cancer diagnosis. Regression modeling determined predictors of functional decline, defined as a higher count on the 13-item disability scale. Results: Three pre-cancer functional trajectories were identified (mean age at diagnosis: 83 y (73-105 y); similarly, 3 post-cancer functional trajectories were identified among the 158 non-decedents. Participants with severe disability pre-diagnosis remained severely disabled post-diagnosis. Approximately 40% of participants with mild or moderate disability pre-diagnosis transitioned to a worse functional trajectory post-diagnosis (see Table). Moderate and severe disability pre-diagnosis were significantly associated with functional decline post-diagnosis (moderate vs. mild aRR: 3.10; 95% CI: 2.24-4.30; severe vs. mild aRR: 5.71; 95% CI: 3.60-9.07). Depressive symptoms (RR, 1.40; 95% CI: 1.02-1.91), and incurable stage (RR, 2.16; 95% CI: 1.54-3.03) were also associated with functional decline. Conclusions: Approximately 40% of older adults experienced functional decline after a new cancer diagnosis. Pre-cancer diagnosis functional trajectory, depressive symptoms, and incurable stage were significant predictors of post-diagnosis functional decline. [Table: see text]

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