scholarly journals SOCIAL NETWORK INFLUENCES ON SENSE OF CONTROL AND ATTRIBUTED DIGNITY IN OLDER AGE: RESEARCH RESULTS

2019 ◽  
Vol 3 (Supplement_1) ◽  
pp. S887-S887
Author(s):  
Raeann G LeBlanc ◽  
Cynthia Jacelon

Abstract The purpose of this study was to explore the relationship between the functions of individual social networks, defined here as social support, and the outcomes of sense of control and attributed dignity among a sample of older people living with multiple chronic conditions. This study integrated an explanatory sequential (Quan/Qual) mixed methods design. Descriptive statistics were used to describe social networks. Bivariate correlations and regression statistics were used to examine the relationships of social network support (MOS-Social Support Scale) with the dependent variables of sense of control (Wallhagen Revised PCQ Questionnaire) and attributed dignity (Jacelon Attributed Dignity Scale). Open-ended interviews and thematic analysis were used to expand understanding of the quantitative findings. A cross-sectional sample of eighty-nine community dwelling older people living with multiple chronic health conditions participated. Social support, as a function of one’s social network, predicted the outcome of sense of control (β = .33, p ≤ .01) and attributed dignity (β = .44, p ≤ .001). Correlation statistics and regression models substantiated positive relationships of social supports’ influence on perceived sense of control and attributed dignity. Thematic analysis, based on open-ended interviews (n=12), expanded on the nuances of social influences on sense of control and attributed dignity in managing chronic health conditions through the themes “learning to ask for help”, “only a phone call away” and “smaller circles”. This research proposes new ways of understanding the relationships between perceptions of social support, sense of control and attributed dignity in later life in managing health.

2020 ◽  
Author(s):  
◽  
Benjamin L. Coe

Hypertension (HTN) is a major risk factor for the development of heart disease, which is the number one cause of death in the United States (U.S.). The Affordable Care Act of 2010 (ACA) led to a significant increase in emergency department (ED) visits: up to 20 [percent] of visits are considered as avoidable. Many patients present to EDs with uncontrolled chronic health conditions, such as HTN, which can be successfully managed in the outpatient setting. Factors contributing to the large volume of patients that present to the ED with uncontrolled HTN has been understudied. This cross-sectional study examined relationships between selected demographic and health variables, medication adherence, health literacy and social support network among adults (n=50) with HTN that presented to the ED. Participants were predominantly male (56 [percent]), 41-60 years old (46 [percent]), and Caucasian (60 [percent]). Only 36 [percent] of participants were adherent to their HTN medications, 42 [percent] had adequate health literacy, and 38 [percent] perceived high levels of social support. The variable with the strongest correlation to medication adherence was last primary care provider (PCP) visit (-0.473, p [less than] 0.001). However only 54 [percent] of participants had seen a PCP over the last 6 months. Increasing PCP visits and reducing avoidable ED visits has the potential to improve chronic disease health outcomes and reduce health care costs. This study has provided evidence that it is both acceptable and feasible to perform research in the ED setting that addresses chronic health conditions, such as HTN. Findings from this study may be used to inform novel ED interventions that can help adults to better manage their chronic health conditions, such as HTN, outside of the acute care setting.


Author(s):  
F. Nearchou ◽  
A. Davies ◽  
E. Hennessy

Introduction. The Multi-Dimensional Scale of Perceived Social Support (MSPSS) is one of the most widely employed tools for measuring perceived social support from three sources: family, friends and a significant other. This study aimed to establish the factor structure of the MSPSS in young adults living with chronic health conditions (CHCs). It also aimed to examine the reliability and convergent validity of the tool. Methods. A cross-sectional quantitative design was applied. Participants (n = 123, 90 females) were students aged 18–25 years recruited from Colleges of Further Education in Ireland (mean age of 20.1 years, s.d. = 2.43). Participants completed the MSPSS and two subscales of the Medical Outcomes Study 36-item Short Form Health Survey that assessed social functioning and emotional well-being. Results. Exploratory factor analysis yielded a three-factor solution of the MSPSS in young adults living with CHCs. The three factors together explained 83% of the variance in MSPSS scores. All the items had high loadings on the factors (0.72–0.94). The MSPSS showed satisfactory reliability and convergent validity. Conclusions. These findings suggest that the MSPSS is a valid and reliable tool for measuring perceived social support from three sources in young adults living with CHCs. Social support has been associated with positive outcomes in young adults living with CHCs, thus it is imperative for researchers and clinicians to have access to psychometrically sound instruments to evaluate the construct.


2013 ◽  
Vol 36 (17) ◽  
pp. 1439-1444 ◽  
Author(s):  
Carri Hand ◽  
Mary Law ◽  
Mary Ann McColl ◽  
Steven Hanna ◽  
Susan Elliott

2017 ◽  
Vol 2017 ◽  
pp. 1-9 ◽  
Author(s):  
Yoshita Paliwal ◽  
Patricia W. Slattum ◽  
Scott M. Ratliff

Falls are an important health concern among older adults due to age-related changes in the body. Having a medical history of chronic health condition may pose even higher risk of falling. Only few studies have assessed a number of chronic health conditions as risk factor for falls over a large nationally representative sample of US older adults. In this study, Behavioral Risk Factor Surveillance System (BRFSS) 2014 participants aged 65 years and older (n = 159,336) were evaluated. It was found that 29.7% (n=44,550) of the sample experienced at least one fall and 16.3% (n=20,444) experienced more than one fall in the past 12 months. According to the study findings, having a medical history of stroke, CKD, arthritis, depression, and diabetes independently predict the risk of first-time falling as well as the risk of recurrent falling in older adult population while controlling for other factors. On the other hand, having a medical history of the heart attack, angina, asthma, and COPD did not predict the risk of first-time falling, but did predict the risk of recurrent falling after experiencing the first fall in this population.


Author(s):  
Johannes William Vergouw ◽  
Hanneke Smits-Pelser ◽  
Marijke C. Kars ◽  
Thijs van Houwelingen ◽  
Harmieke van Os-Medendorp ◽  
...  

Abstract Background: The strain on health care services is increasing due to an ageing population and the increasing prevalence of chronic health conditions. eHealth could contribute to optimise effective and efficient care to older adults with one or more chronic health conditions in the general practice. Aim: The aim of this study was to identify the needs, barriers and facilitators amongst community-dwelling older adults (60+) suffering from one or more chronic health conditions, in using online eHealth applications to support general practice services. Methods: A qualitative study, using semi-structured followed by think-aloud interviews, was conducted in the Netherlands. The semi-structured interviews, supported by an interview guide were conducted and analysed thematically. The think-aloud method was used to collect data about the cognitive process while the participant was completing a task within online eHealth applications. Verbal analysis according to the Chi approach was conducted to analyse the think-aloud interviews. Findings: A total of n = 19 older adults with a mean age of 73 years participated. The ability to have immediate contact with the GP on important health issues was identified as an important need. Identified barriers were non-familiarity with the online eHealth applications and a mismatch of user health needs. The low computer experience resulted in non-familiarity with the online eHealth applications. Faltering applications resulted in participants refusing to participate in the use of online eHealth applications. Convenience, efficiency and the instant availability of eHealth via applications were identified as important facilitators. Conclusion: To improve the use and acceptability of eHealth applications amongst older adults in the general practice, the applications should be tailored to meet individual needs. More attention should be given to improving the user-friendliness of these applications and to the promotion of the benefits such as facilitating older adults independent living for longer.


2021 ◽  
pp. JARC-D-20-00010
Author(s):  
Xiangli Chen ◽  
Kanako Iwanaga ◽  
Jia-Rung Wu ◽  
Beatrice Lee ◽  
Fong Chan ◽  
...  

Chronic health conditions and disabilities interfere with major life activities, and these interferences are the result of complex interactions between health condition factors, psychological factors, personal factors, and socioenvironmental factors. The World Health Organization (WHO) International Classification of Functioning, Disability, and Health (ICF) framework is a biopsychosocial model that conceptualizes the experience of disability with attention to these interactions. The World Health Organization Disability Assessment Schedule 2.0 (WHODAS 2.0) is an assessment tool developed to measure self-reported activity limitations and restrictions to participation experienced by individuals with disabilities independent of his or her medical diagnosis. In order to allow practitioners to effectively use this tool with individuals with various chronic illnesses and disabilities, the current study aimed to evaluate the measurement structure and psychometric properties of the WHODAS 2.0. A total of 945 adults with disabilities participated in the current study. Results support two-factor structure of this measurement tool with adequate reliability and construct validity. The WHODAS 2.0 is a valid, useful tool for rehabilitation counseling professionals to more effectively support adults with chronic health conditions and disabilities in achieving their psychosocial and employment success.


2019 ◽  
Author(s):  
Brian M Green ◽  
Katelyn Tente Van Horn ◽  
Ketki Gupte ◽  
Megan Evans ◽  
Sara Hayes ◽  
...  

BACKGROUND With the pervasiveness of social media, online health communities (OHCs) are an important tool for facilitating information sharing and support among people with chronic health conditions. Importantly, OHCs offer insight into conversations about the lived experiences of people with particular health conditions. Little is known about the aspects of OHCs that are important to maintain safe and productive conversations that support health. OBJECTIVE This study aimed to assess the provision of social support and the role of active moderation in OHCs developed in accordance with and managed by an adaptive engagement model. This study also aimed to identify key elements of the model that are central to the development, maintenance, and adaptation of OHCs for people with chronic health conditions. METHODS This study used combined content analysis, a mixed methods approach, to analyze sampled Facebook post comments from 6 OHCs to understand how key aspects of the adaptive engagement model facilitate different types of social support. OHCs included in this study are for people living with multiple sclerosis, migraine, irritable bowel syndrome, rheumatoid arthritis, lung cancer, and prostate cancer. An exploratory approach was used in the analysis, and initial codes were grouped into thematic categories and then confirmed through thematic network analysis using the Dedoose qualitative analysis software tool. Thematic categories were compared for similarities and differences for each of the 6 OHCs and by topic discussed. RESULTS Data on the reach and engagement of the Facebook posts and the analysis of the sample of 5881 comments demonstrate that people with chronic health conditions want to engage on the web and find value in supporting and sharing their experiences with others. Most comments made in these Facebook posts were expressions of social support for others living with the same health condition (3405/5881, 57.89%). Among the comments with an element of support, those where community members validated the knowledge or experiences of others were most frequent (1587/3405, 46.61%), followed by the expression of empathy and understanding (1089/3405, 31.98%). Even among posts with more factual content, such as insurance coverage issues, user comments still had frequent expressions of support for others (80/213, 37.5%). CONCLUSIONS The analysis of this OHC adaptive engagement model in action shows that the foundational elements—social support, engagement, and moderation—can effectively be used to provide a rich and dynamic community experience for individuals with chronic health conditions. Social support is demonstrated in a variety of ways, including sharing information or validating information shared by others, expressions of empathy, and sharing encouraging statements with others.


2019 ◽  
Vol 3 (Supplement_1) ◽  
pp. S907-S908
Author(s):  
Sangmi Park ◽  
Tae Hui Kim ◽  
Soyeon Choi ◽  
Kyuwon Lee ◽  
Jisoo Jung ◽  
...  

Abstract Resilience is one of the components for successful aging and is related to wellbeing in late life. Studies have shown that older people living alone have low resilience. However, most of these studies were mainly conducted on unhealthy participants. The aim of this study is to examine the factors that contribute to resilience of healthy older adults living alone. Older people living alone who are not subject to public health care service provided to the economically or physically challenged or depressed people were recruited. Data collected from 295 participants were used to conduct hierarchical multiple regression analyses, controlling demographic characteristics, level of cognitive and physical functions, and emotional status. A self-reported questionnaire, UCLA Loneliness Scale, Lubben Social Network Scale(LSNS), and Multidimensional Individual and Interpersonal Resilience Measure(MIIRM) were used to measure study variables. A hierarchical model accounted for 48.8% of the variance in resilience. In model 1(demographics), the religion(β=.178, p<.001) and the perceived economic status(β=-.176, p<.001) variables were significantly related to resilience. The subjective health(β=-.109, p=.038) in model 2(level of function) and the loneliness(β=-.379, p<.001) in model 3(emotional status) had a significant effect on resilience. In model 4, the size(β=-.115, p=.029) and the frequency(β=.160, p=.003) of social networks significantly predicted resilience. The results showed that protecting older adults’ social networks could lead to promote their health and wellbeing. What can be inferred from this finding is that even though the members are small, the social network they often have contact with is important for the resilience of older adults living alone.


10.2196/17338 ◽  
2020 ◽  
Vol 22 (7) ◽  
pp. e17338
Author(s):  
Brian M Green ◽  
Katelyn Tente Van Horn ◽  
Ketki Gupte ◽  
Megan Evans ◽  
Sara Hayes ◽  
...  

Background With the pervasiveness of social media, online health communities (OHCs) are an important tool for facilitating information sharing and support among people with chronic health conditions. Importantly, OHCs offer insight into conversations about the lived experiences of people with particular health conditions. Little is known about the aspects of OHCs that are important to maintain safe and productive conversations that support health. Objective This study aimed to assess the provision of social support and the role of active moderation in OHCs developed in accordance with and managed by an adaptive engagement model. This study also aimed to identify key elements of the model that are central to the development, maintenance, and adaptation of OHCs for people with chronic health conditions. Methods This study used combined content analysis, a mixed methods approach, to analyze sampled Facebook post comments from 6 OHCs to understand how key aspects of the adaptive engagement model facilitate different types of social support. OHCs included in this study are for people living with multiple sclerosis, migraine, irritable bowel syndrome, rheumatoid arthritis, lung cancer, and prostate cancer. An exploratory approach was used in the analysis, and initial codes were grouped into thematic categories and then confirmed through thematic network analysis using the Dedoose qualitative analysis software tool. Thematic categories were compared for similarities and differences for each of the 6 OHCs and by topic discussed. Results Data on the reach and engagement of the Facebook posts and the analysis of the sample of 5881 comments demonstrate that people with chronic health conditions want to engage on the web and find value in supporting and sharing their experiences with others. Most comments made in these Facebook posts were expressions of social support for others living with the same health condition (3405/5881, 57.89%). Among the comments with an element of support, those where community members validated the knowledge or experiences of others were most frequent (1587/3405, 46.61%), followed by the expression of empathy and understanding (1089/3405, 31.98%). Even among posts with more factual content, such as insurance coverage issues, user comments still had frequent expressions of support for others (80/213, 37.5%). Conclusions The analysis of this OHC adaptive engagement model in action shows that the foundational elements—social support, engagement, and moderation—can effectively be used to provide a rich and dynamic community experience for individuals with chronic health conditions. Social support is demonstrated in a variety of ways, including sharing information or validating information shared by others, expressions of empathy, and sharing encouraging statements with others.


Sign in / Sign up

Export Citation Format

Share Document