Socioeconomic differences in incident depression in older adults: The role of psychosocial factors, physical health status, and behavioral factors

2006 ◽  
Vol 61 (5) ◽  
pp. 619-627 ◽  
Author(s):  
Annemarie Koster ◽  
Hans Bosma ◽  
Gertrudis I.J.M. Kempen ◽  
Brenda W.J.H. Penninx ◽  
Aartjan T.F. Beekman ◽  
...  
Keyword(s):  
Older Adults ◽  
Health Status ◽  
Physical Health ◽  
Psychosocial Factors ◽  
Socioeconomic Differences ◽  
Behavioral Factors ◽  
Physical Health Status

scholarly journals Associations Between Heart Rate Variability Measured With a Wrist-Worn Sensor and Older Adults’ Physical Function: Observational Study

10.2196/13757 ◽  
2019 ◽  
Vol 7 (10) ◽  
pp. e13757 ◽  
Author(s):  
Sarah Anne Graham ◽  
Dilip V Jeste ◽  
Ellen E Lee ◽  
Tsung-Chin Wu ◽  
Xin Tu ◽  
...  
Keyword(s):  
Older Adults ◽  
Heart Rate ◽  
Heart Rate Variability ◽  
Health Status ◽  
Physical Health ◽  
Physical Function ◽  
Significant Proportion ◽  
Physical Health Status ◽  
Sf 36 ◽  
Composite Scores

Background Heart rate variability (HRV), or variation in beat-to-beat intervals of the heart, is a quantitative measure of autonomic regulation of the cardiovascular system. Low HRV derived from electrocardiogram (ECG) recordings is reported to be related to physical frailty in older adults. Recent advances in wearable technology offer opportunities to more easily integrate monitoring of HRV into regular clinical geriatric health assessments. However, signals obtained from ECG versus wearable photoplethysmography (PPG) devices are different, and a critical first step preceding their widespread use is to determine whether HRV metrics derived from PPG devices also relate to older adults’ physical function. Objective This study aimed to investigate associations between HRV measured with a wrist-worn PPG device, the Empatica E4 sensor, and validated clinical measures of both objective and self-reported physical function in a cohort of older adults living independently within a continuing care senior housing community. Our primary hypothesis was that lower HRV would be associated with lower physical function. In addition, we expected that HRV would explain a significant proportion of variance in measures of physical health status. Methods We evaluated 77 participants from an ongoing study of older adults aged between 65 and 95 years. The assessments encompassed a thorough examination of domains typically included in a geriatric health evaluation. We collected HRV data with the Empatica E4 device and examined bivariate correlations between HRV quantified with the triangular index (HRV TI) and 3 widely used and validated measures of physical functioning—the Short Physical Performance Battery (SPPB), Timed Up and Go (TUG), and Medical Outcomes Study Short Form 36 (SF-36) physical composite scores. We further investigated the additional predictive power of HRV TI on physical health status, as characterized by SF-36 physical composite scores and Cumulative Illness Rating Scale for Geriatrics (CIRS-G) scores, using generalized estimating equation regression analyses with backward elimination. Results We observed significant associations of HRV TI with SPPB (n=52; Spearman ρ=0.41; P=.003), TUG (n=51; ρ=−0.40; P=.004), SF-36 physical composite scores (n=49; ρ=0.37; P=.009), and CIRS-G scores (n=52, ρ=−0.43; P=.001). In addition, the HRV TI explained a significant proportion of variance in SF-36 physical composite scores (R2=0.28 vs 0.11 without HRV) and CIRS-G scores (R2=0.33 vs 0.17 without HRV). Conclusions The HRV TI measured with a relatively novel wrist-worn PPG device was related to both objective (SPPB and TUG) and self-reported (SF-36 physical composite) measures of physical function. In addition, the HRV TI explained additional variance in self-reported physical function and cumulative illness severity beyond traditionally measured aspects of physical health. Future steps include longitudinal tracking of changes in both HRV and physical function, which will add important insights regarding the predictive value of HRV as a biomarker of physical health in older adults.

scholarly journals Psychological Distress among College Students: Role of Food Insecurity and Other Social Determinants of Mental Health

2020 ◽  
Vol 17 (11) ◽  
pp. 4118 ◽  
Author(s):  
Monideepa B. Becerra ◽  
Benjamin J. Becerra
Keyword(s):  
Mental Health ◽  
College Students ◽  
Psychological Distress ◽  
Health Status ◽  
Food Insecurity ◽  
Physical Health ◽  
Social Determinant ◽  
Physical Health Status ◽  
Gender Specific

Food insecurity is a major social determinant of health and an assessment of how it may impact college students’ mental health is imperative, as well as differential associations by self-identified gender. A cross-sectional survey was used among college students of a mid-size minority-serving institution with a final sample size of 302 participants aged 18 years or above. Descriptive, bivariate, and multivariable regressions were conducted, by gender, to assess the role of food insecurity (United States Department of Agriculture (USDA) six-item questionnaire), on mental health outcomes (Kessler-6 scale and self-perception). All the statistical analyses were conducted in SPSS version 24 (IBM, Corp.; Armonk, NY, USA) with an alpha less than 0.05 used to denote significance. Among those with food insecurity, the odds of reporting psychological distress (odds ratio (OR) = 3.645, p < 0.05) and an average to very poor self-perceived mental health status (OR = 2.687, p <0.05) were higher compared to their food-secure counterparts, with the results consistent in a gender-specific analysis as well. Compared to men, however, women had higher odds of psychological distress (OR = 2.280, p < 0.05), as well as reporting average to very poor self-perceived mental health statuses (OR = 2.700, p < 0.05). Among women, any alcohol use in the past 12 months (OR = 2.505, p < 0.05) and a low self-perceived physical health status (OR = 3.601, p < 0.05) were associated with an average to very poor self-perceived mental health status. Among men, a low perceived physical health status was associated with higher odds of psychological distress (OR = 3.477, p < 0.05). The results of our study highlight that food insecurity should be considered a social determinant of mental health wellbeing. In addition, gender-specific trends in mental health highlight the need for targeted interventions for prevention and treatment.

scholarly journals Predictive Role of Psychosocial Factors in Older Adults Life Satisfaction

2019 ◽  
Author(s):  
Shahab Papi ◽  
Maria Cheraghi
Keyword(s):  
Social Support ◽  
Older Adults ◽  
Life Satisfaction ◽  
Health Status ◽  
Psychosocial Factors ◽  
Cognitive Status ◽  
Daily Activities ◽  
Predictive Role ◽  
The Mean

Abstract Background: The older adults are a part of society whose population is increasing as science progresses and health conditions improve. Social, psychological and behavioral factors will be influenced on life satisfaction in older adults. We aimed to predictive role of psychosocial factors in life satisfaction older adults. Methods: It was a descriptive-analytical study which has conducted on 679 older adults through convenience sampling from Qom city during 2018. The data were collected using demographic characteristics, life satisfaction, well-being, cognitive status, social support, and daily activities of life. Data were analyzed by SPSS software version 22 and independent t-test, ANOVA, Pearson’s correlation coefficient and multiple regression analysis. Results: The mean and standard deviation of older adults age was 70.43 ± 7.62 years. The mean life satisfaction score was 13.77 ± 3.73. The results showed a significant relationship between job and education with life satisfaction (P <0.001). The results also showed that social support (P= 0.001) and daily activities (P= 0.017) significantly predict the level of life satisfaction, and the dimensions of health (P= 0.001) and cognitive status (P= 0.007) have a larger share in predicting the satisfaction of older adults life. Conclusion: We found that some parts of life changes in older adults can be predicted with the help of social support, health status, cognitive status, and everyday life activities. Therefore, in order to increase the level of satisfaction of older adults life, it is suggested that the field of promotion of social support, health status, and cognitive status be provided.

scholarly journals Physical Health Status and Frailty Index in Community Dwelling Older Adults in Tehran

Salmand ◽  
2019 ◽  
pp. 652-665
Author(s):  
Sima Ghasemi ◽  
Nastaran Keshavarz Mohammadi ◽  
Farahnaz Mohammadi Shahboulaghi ◽  
Ali Ramezankhani ◽  
Yadollah Mehrabi
Keyword(s):  
Older Adults ◽  
Health Status ◽  
Physical Health ◽  
Frailty Index ◽  
Community Dwelling ◽  
Physical Health Status ◽  
Community Dwelling Older Adults

Physical health status of older adults with severe mental illness: The PH i SMI ‐E cohort study

2018 ◽  
Vol 28 (2) ◽  
pp. 457-467 ◽  
Author(s):  
Noortje Houben ◽  
Eveline P.C.J. Janssen ◽  
Marike R.C. Hendriks ◽  
Digna Kellen ◽  
Bas P.J. Alphen ◽  
...  
Keyword(s):  
Older Adults ◽  
Mental Illness ◽  
Cohort Study ◽  
Health Status ◽  
Physical Health ◽  
Severe Mental Illness ◽  
Physical Health Status

Care-Receiver and Caregiver Assessments of Functioning: Are There Gender Differences?

2005 ◽  
Vol 24 (2) ◽  
pp. 139-150 ◽  
Author(s):  
Julie C. Shaver ◽  
Diane E. Allan
Keyword(s):  
Older Adults ◽  
Gender Differences ◽  
Health Status ◽  
Physical Health ◽  
Cognitive Functioning ◽  
Functional Status ◽  
Physical Health Status ◽  
Caregiver Relationship ◽  
Cohen's Kappa ◽  
Mental And Physical Health

ABSTRACTIn situations where care-receivers cannot respond to questions about their functional status, caregiver proxies are often substituted. Yet studies addressing caregiver-care-receiver agreement remain limited in scope, focusing primarily on cognitive functioning and caregiver relationship. This study broadens the range of research in this area by examining caregiver and care-receiver reports of individual IADL and AADL items by gender of care-receiver. As well, the degree to which the care-receiver's age and mental and physical health status influence agreement are investigated. Data for this study come from a sample of 388 Manitoba older adults aged 65 and over. Results (using Cohen's kappa) suggest less agreement on the presence of disability for men than for women, particularly among those aged 75–84. Differences by health status were also revealed. The implications of the findings for assessments of functioning are considered.

scholarly journals Physical Health Status among Older Adults Attending Primary Care Clinic at Cheras, Malaysia

2018 ◽  
Vol 16 (Special Issue) ◽  
pp. 219
Author(s):  
Devinder Kaur Ajit Singh ◽  
Norhamizah Ideris ◽  
Yu Chi Heaw ◽  
Nor Najwatul Akmal Ab. Rahman ◽  
Ponnusamy Subramanaim ◽  
...  
Keyword(s):  
Older Adults ◽  
Primary Care ◽  
Health Status ◽  
Physical Health ◽  
Primary Care Clinic ◽  
Physical Health Status ◽  
Care Clinic

scholarly journals Effects of Yangsaeng (Health Management) Therapy for Korean Older Adults in Nursing Home

2020 ◽  
Vol 17 (20) ◽  
pp. 7507
Author(s):  
Sohyune R. Sok ◽  
Seyoon Kim ◽  
Da Un Jeong ◽  
Youngmi Cho
Keyword(s):  
Older Adults ◽  
Life Satisfaction ◽  
Nursing Home ◽  
Health Status ◽  
Nursing Homes ◽  
Physical Health ◽  
Health Management ◽  
Care Providers ◽  
Physical Health Status ◽  
Study Participants

The number of older adults admitted to nursing homes is steadily increasing, and the health management for them is a very important issue in Korean society. This study aimed to examine the effects of Yangsaeng (health management) therapy on physical health status, depression, life satisfaction, and Yangsaeng (health management) of Korean older adults in nursing homes. A quasi-experimental study design using a pretest-posttest control group was employed. Study participants were a total of 80 older adults (intervention: n = 40, control: n = 40) in a nursing home in Seoul, South Korea. Yangsaeng therapy as an intervention consisted of the Meridian therapy and Qi-gong therapy. Yangsaeng therapy was conducted for 50 min per one time, twice a week, and for 10 weeks. Measures were general characteristics of study participants, Cornell Medical Index, Geriatric Depression Scale, life satisfaction scale, and Yangsaeng scale. Data were collected from April 2018 to March 2019. There were statistically significant differences on physical health status, depression, life satisfaction, and Yangsaeng between the two groups. Yangsaeng therapy was an effective intervention for improving physical health status, life satisfaction, and Yangsaeng, and for decreasing depression of older adults in nursing homes. Health care providers need to pay attention to Yangsaeng therapy as a Korean traditional intervention method for the health management of the older adults residing in nursing homes.

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