Effects of social supports on burden in caregivers of people with dementia

2014 ◽  
Vol 26 (10) ◽  
pp. 1639-1648 ◽  
Author(s):  
Ji Won Han ◽  
Hyeon Jeong ◽  
Jae Young Park ◽  
Tae Hui Kim ◽  
Dong Young Lee ◽  
...  

ABSTRACTBackground:Social support programs for dementia caregivers were widely used in order to reduce care burden. We investigated which types of social supports can reduce psychological and non-psychological burdens of dementia caregivers, and explored the mechanism of those social supports.Methods:We evaluated 731 community-dwelling dementia patients and their caregivers from the National Survey of Dementia Care in South Korea. We investigated the five types of social supports (emotional support, informational support, tangible support, positive social interaction, affectionate support) using the Medical Outcomes Study Social Support Survey in each caregiver. The mechanisms of specific types of social support on psychological/non-psychological burden were examined using path analysis.Results:Positive social interaction and affectionate support reduced psychological burden via direct and indirect paths. Tangible support reduced the non-psychological burden via direct and indirect paths. Informational support and emotional support were not helpful for reducing psychological or non-psychological burden. A maximum of 20% of psychological burden could be relieved by positive social interaction and 10.3% of that could be reduced by affectionate support. Tangible support was associated with a 15.1% maximal improvement in non-psychological burden.Conclusions:In order to reduce caregiver burden in dementia effectively, psychosocial interventions should be tailored to target type of caregiver burden.

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Asres Bedaso ◽  
Jon Adams ◽  
Wenbo Peng ◽  
David Sibbritt

Abstract Background Antenatal depression and antenatal anxiety adversely affect several obstetric and foetal outcomes, and increase the rate of postnatal mental illness. Thus, to tackle these challenges the need for social support during pregnancy is vital. However, an extensive literature search failed to show a published study on the relationship between domains of social support and antenatal depressive, as well as antenatal anxiety symptoms in Australia. This study examined the association between domains of social support and antenatal depressive and anxiety symptoms among Australian women. Methods The current study used data obtained from the 1973–78 cohort of the Australian Longitudinal Study on Women’s Health (ALSWH), focusing upon women who reported being pregnant (n = 493). Depression and anxiety were assessed using the 10 item Center for Epidemiological Studies Depression (CES-D-10) scale, and the 9-item Goldberg Anxiety and Depression scale (GADS) respectively. The 19 item-Medical Outcomes Study Social Support index (MOSS) was used to assess social support. A logistic regression model was used to examine the associations between domains of social support and antenatal depressive and anxiety symptoms after adjusting for potential confounders. Result The current study found 24.7 and 20.9% of pregnant women screened positive for depressive and anxiety symptoms respectively. After adjusting for potential confounders, our study found that the odds of antenatal depressive symptoms was about four and threefold higher among pregnant women who reported low emotional/informational support (AOR = 4.75; 95% CI: 1.45, 15.66; p = 0.010) and low social support (overall support) (AOR = 3.26; 95%CI: 1.05, 10.10, p = 0.040) respectively compared with their counterpart. In addition, the odds of antenatal anxiety symptoms was seven times higher among pregnant women who reported low affectionate support/positive social interaction (AOR = 7.43; 95%CI: 1.75, 31.55; p = 0.006). Conclusion A considerable proportion of pregnant Australian women had depressive symptoms and/or anxiety symptoms, which poses serious health concerns. Low emotional/informational support and low affectionate support/positive social interaction have a significant association with antenatal depressive and anxiety symptoms respectively. As such, targeted screening of expectant women for social support is essential.


2021 ◽  
Vol 15 ◽  
Author(s):  
Tábatta Renata Pereira de Brito ◽  
Giovana de Souza Gomes Penido ◽  
Jéssica Goretti da Silva ◽  
Silvana Maria Coelho Leite Fava ◽  
Murilo César do Nascimento

OBJECTIVE: To analyze factors associated with perceived social support in older people with cancer. METHODOLOGY: This is a cross-sectional, analytical study conducted with a convenience sample of 134 older people seen at a specialist cancer treatment unit in a hospital located in a municipal district in the South of Minas Gerais state, Brazil. Data collection was conducted by interview and analysis of medical records. Social support was analyzed using the Medical Outcomes Study social support scale. The Mann-Whitney and Kruskal-Wallis tests were used to analyze differences between means. Linear regression was used for analysis of associations. RESULTS: The majority of the sample of older people with cancer analyzed were male, aged from 60 to 74 years, and reported high mean scores for material support; affective support; positive social interaction; and emotional/informational support. Factors with positive associations with social support were: not living alone; income one to three times the minimum wage; having a partner; rating health as good/very good; and presence of comorbidity. Factors with negative associations were: poor/very poor perceived income and polypharmacy use. CONCLUSIONS: This sample of older people reported high mean scores for material support; affective support; positive social interaction; and emotional/informational support. Factors associated with perceived social support were: living arrangements; family income; perceived sufficiency of income; marital status; health self-assessment; comorbidity; and polypharmacy.


2021 ◽  
pp. 1-28
Author(s):  
Zeinab Hosseini ◽  
Abdollah Safari ◽  
Nadia A. Khan ◽  
Gerry Veenstra ◽  
Annalijn I. Conklin

Abstract Objective: To quantify associations between four types of social support and measured adiposity among women and men. Design: The cross-sectional sample from the Canadian Longitudinal Study on Aging (CLSA, 2012-15). Height, weight and waist circumference (WC) were clinically measured perceived availability of informational, tangible, emotional and belonging social supports were self-reported. Setting: Canada Participants: 28,779 adults 45 to 85 years from the CLSA Results: All social support types were associated with WC and body mass index (BMI) among women but not among men. Women reporting the lowest informational support had significantly higher mean BMI (28.84 kg/m2 [95%CI: 28.63-29.05]) and WC (90.81 cm [95%CI: 90.31-91.30]) compared to women reporting maximum support (respectively, 28.09 kg/m2 [95%CI: 27.88-28.30] and 88.92 cm [95%CI: 88.43-89.4]). Women’s abdominal obesity was associated with low levels of informational, emotional and belonging support, and women’s general obesity with informational and emotional support. Notably, informational and emotional support were associated with both obesity outcomes independent of other supports among women. Only a low level of informational support was significantly independently associated with higher odds of obesity among men. Conclusions: Our study provides novel insights into gender-specific associations between different types of social support and adiposity. Prospective studies are needed to further investigate potential causality of these associations between the specific social supports and future weight status, especially among women.


2020 ◽  
Vol 3 (2) ◽  
pp. 386-393
Author(s):  
Kenrick Chang ◽  
Meilisia Tri Gunawan ◽  
Elvy Grashiella ◽  
Hendra Jaya ◽  
Kenny William ◽  
...  

The purpose of this research is to see how social support helps to cure cancer survivors. The source of this study consists of three research subjects who are a cancer survivor and three research informants. The sample selection used is the snowball sampling method. Research data are collected using natural observation methods and in-depth interview which are then arranged in verbatim form. The results shows that from the forms of social support, including emotional support, tangiable support, informational support, and companionship support, the most prominent is emotional support and with the existence of social supports, cancer sufferers can gain more confident andfeel more motivated to recover from cancer.


2020 ◽  
Author(s):  
Yuanyuan Dang ◽  
Shanshan Guo ◽  
Xitong Guo

BACKGROUND The mobile health (mHealth) provides a new opportunity for patients’ disease prediction and health self-management. At the same time, privacy problems in mHealth have brought forth significant attention concerning patients' online health information disclosure and hindered mHealth development. OBJECTIVE Privacy calculus theory (PCT) has been widely used to understand personal information disclosure behaviors with the basic assumption of a national and linear decision-making process. However, people’s cognitive behavior processes are complex and mutual. In attempting to close this knowledge gap, we further optimize the information disclosure model of patients based on PCT by identifying the mutual relationship between costs (privacy concerns) and benefits. Social support, which has been proved to be a distinct and significant disclosure benefit of mHealth, was chosen to be the representative benefit of information disclosure in mHealth. METHODS From an individual perspective, a structural equation model with privacy concerns, health information disclosure intention in mHealth, and social support from mHealth has been examined. RESULTS 253 randomly selected participants provided validated questionnaire. The result indicated that perceived health information sensitivity positively enhances the privacy concern (0.505, p<0.01), and higher privacy concern levels will decrease the health information disclosure intention (-0.338, p<0.01). Various aspects of individual characters influence perceived health information sensitivity in different ways. The informational support has a negatively moderate on reduce the positive effect between perceived health information sensitivity and privacy concerns (-0.171, p<0.1) and will decrease the negative effect between privacy concerns and health information disclosure intention(-0.105, p<0.1). However, emotional support has no directly moderate effect on both privacy concerns and health information disclosure intention. CONCLUSIONS The results indicate that social support can be regarded as a disutility reducer, that is, on the one hand, it reduces the privacy concerns of patients; on the other hand, it also reduces the negative impact of privacy concerns on information disclosure intention. Moreover, the moderate effect of social support is partially supported. Informational support, one demission of social support, is significant, while the other demission, emotional support, is not significant in mHealth. Furthermore, the results are different among patients with different individual characteristics. This study also provides specific theoretical and practical implications to enhance the development of mHealth.


2021 ◽  
Vol 20 ◽  
pp. 153473542199490
Author(s):  
Iván Ruiz-Rodríguez ◽  
Isabel Hombrados-Mendieta ◽  
Anabel Melguizo-Garín ◽  
Mª José Martos-Méndez

Introduction: The aim of the present study is to carry out a multidimensional analysis of the relationship of social support with quality of life and the stress perceived by cancer patients. Methods: The participants were 200 patients with cancer. Data was gathered on sociodemographic characteristics, health, quality of life, social support and perceived stress. Results: Frequency of and satisfaction with different sources and types of support are related positively with improvement of quality of life and negatively with perceived stress. The emotional support from the partner and the emotional and informational support from the family are significant predictors of quality of life. Emotional support from the family reduces patients’ perceived stress. Satisfaction with emotional support from the partner and with the informational support from friends and family increases quality of life. Satisfaction with emotional support from the family and with informational support from friends decreases patients’ perceived stress. Instrumental support and support provided by health professionals are not good predictors of quality of life and perceived stress. Satisfaction with the support received is more significantly related with quality of life and stress than the frequency with which the sources provide support. Conclusions: These results have important practical implications to improve cancer patients’ quality of life and reduce their perceived stress through social support. Designing intervention strategies to improve satisfaction with the support provided to patients by their closest networks results in a global benefit for the patient’s quality of life.


2021 ◽  
Vol 8 (1) ◽  
Author(s):  
Dania Hernandez ◽  
Gema Jacomino ◽  
Uma Swamy ◽  
Krista Donis ◽  
Sarah L. Eddy

Abstract Background Active learning supports student performance, but can be challenging to implement in large courses. The Learning Assistant (LA) Program is a growing intervention to support students in large active learning classrooms. This program places advanced undergraduates who have training in pedagogical methods in active learning classrooms to interact with and support students during in-class activities. LAs increase student performance, but the mechanism behind this is still unclear. Social support is a promising framework to help elucidate the types and extent of assistance LAs provide to students and begin exploring the “how” behind LAs effectiveness. The aim of this study was to develop an instrument measuring undergraduate students’ perceptions of the social supports for active learning available to them in the classroom. This instrument was based on both the broader social support literature and the literature on what factors encourage students to engage deeply in active learning. To provide initial evidence of validity, the instrument was completed in six sections of General Chemistry I at one R1 university. Exploratory and confirmatory factor analyses were applied to determine the internal structure of the instrument. Then the instrument’s relationship to engagement in active learning was evaluated as another form of validity evidence. Results These analyses best supported a three-factor instrument that included five items representing supportive feedback provided during active learning (appraisal support), eight items representing emotional support during active learning, and six items representing the communications of norms and values related to active learning (informational support). All three factors were individually correlated with three measures of engagement. In regression analyses with all three factors measured together, only informational support predicted changes in two of the three measures of engagement. Conclusions This study supports the use of the Perception of Social Supports for Active Learning (PSSALI) instrument to understand students’ perceptions of the supports they are receiving to engage in active learning in chemistry courses. One implication of this work is that in order to increase engagement, learning assistants should clearly communicate the value of active learning and the classroom norm of active participation.


2021 ◽  
pp. 089443932110073
Author(s):  
Yining Malloch ◽  
Bo Feng

Guided by the masspersonal communication model, this study examined the impact of the communication channel (masspersonal vs. interpersonal) and support message type on evaluation of social support message quality in Facebook settings. An online factorial experiment with 480 participants revealed that support messages sent through interpersonal channels (e.g., private messaging) were perceived as higher in quality than those sent through masspersonal channels (e.g., status update). Regardless of channels, participants considered tangible support messages as higher quality than informational and emotional support messages. Implications for computer-mediated communication and social support theories and practices were discussed.


JMIR Aging ◽  
10.2196/12496 ◽  
2019 ◽  
Vol 2 (2) ◽  
pp. e12496 ◽  
Author(s):  
Zakkoyya H Lewis ◽  
Maria C Swartz ◽  
Eloisa Martinez ◽  
Elizabeth J Lyons

Background Physical activity (PA) is critical for maintaining independence and delaying mobility disability in aging adults. However, 27 to 44% of older adults in the United States are meeting the recommended PA level. Activity trackers are proving to be a promising tool to promote PA adherence through activity tracking and enhanced social interaction features. Although social support has been known to be an influential behavior change technique to promote PA, how middle-aged and older adults use the social interaction feature of mobile apps to provide virtual support to promote PA engagement remains mostly underexplored. Objective This study aimed to describe the social support patterns of middle-aged and older adults using a mobile app as part of a behavioral PA intervention. Methods Data from 35 participants (mean age 61.66 [SD 6] years) in a 12-week, home-based activity intervention were used for this secondary mixed method analysis. Participants were provided with a Jawbone Up24 activity monitor and an Apple iPad Mini installed with the UP app to facilitate self-monitoring and social interaction. All participants were given an anonymous account and encouraged to interact with other participants using the app. Social support features included comments and likes. Thematic coding was used to identify the type of social support provided within the UP app and characterize the levels of engagement from users. Participants were categorized as superusers or contributors, and passive participants were categorized as lurkers based on the literature. Results Over the 12-week intervention, participants provided a total of 3153 likes and 1759 comments. Most participants (n=25) were contributors, with 4 categorized as superusers and 6 categorized as lurkers. Comments were coded as emotional support, informational support, instrumental support, self-talk, and other, with emotional support being the most prevalent type. Conclusions Our cohort of middle-aged and older adults was willing to use the social network feature in an activity app to communicate with anonymous peers. Most of our participants were contributors. In addition, the social support provided through the activity app followed social support constructs. In sum, PA apps are a promising tool for delivering virtual social support to enhance PA engagement and have the potential to make a widespread impact on PA promotion. Trial Registration ClinicalTrials.gov NCT01869348; https://clinicaltrials.gov/ct2/show/NCT01869348


2018 ◽  
Author(s):  
Zakkoyya H Lewis ◽  
Maria C Swartz ◽  
Eloisa Martinez ◽  
Elizabeth J Lyons

BACKGROUND Physical activity (PA) is critical for maintaining independence and delaying mobility disability in aging adults. However, 27 to 44% of older adults in the United States are meeting the recommended PA level. Activity trackers are proving to be a promising tool to promote PA adherence through activity tracking and enhanced social interaction features. Although social support has been known to be an influential behavior change technique to promote PA, how middle-aged and older adults use the social interaction feature of mobile apps to provide virtual support to promote PA engagement remains mostly underexplored. OBJECTIVE This study aimed to describe the social support patterns of middle-aged and older adults using a mobile app as part of a behavioral PA intervention. METHODS Data from 35 participants (mean age 61.66 [SD 6] years) in a 12-week, home-based activity intervention were used for this secondary mixed method analysis. Participants were provided with a Jawbone Up24 activity monitor and an Apple iPad Mini installed with the UP app to facilitate self-monitoring and social interaction. All participants were given an anonymous account and encouraged to interact with other participants using the app. Social support features included comments and likes. Thematic coding was used to identify the type of social support provided within the UP app and characterize the levels of engagement from users. Participants were categorized as superusers or contributors, and passive participants were categorized as lurkers based on the literature. RESULTS Over the 12-week intervention, participants provided a total of 3153 likes and 1759 comments. Most participants (n=25) were contributors, with 4 categorized as superusers and 6 categorized as lurkers. Comments were coded as emotional support, informational support, instrumental support, self-talk, and other, with emotional support being the most prevalent type. CONCLUSIONS Our cohort of middle-aged and older adults was willing to use the social network feature in an activity app to communicate with anonymous peers. Most of our participants were contributors. In addition, the social support provided through the activity app followed social support constructs. In sum, PA apps are a promising tool for delivering virtual social support to enhance PA engagement and have the potential to make a widespread impact on PA promotion. CLINICALTRIAL ClinicalTrials.gov NCT01869348; https://clinicaltrials.gov/ct2/show/NCT01869348


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