ISSN: 2329-9096
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Research Article - (2020)Volume 8, Issue 6
Background: Social network is the web of relationships that surrounds an individual and social isolation may occur when social network breaks down, stronger and closer social ties represent social resources in times of need, reduce a sense of isolation, and increase the mental and physical function of older adults. A considerable amount of evidence has consistently demonstrated the benefit of social networking for health, emotional well-being, self-esteem, identity and the perception of control. The purpose of this study is to find out the relationship of social network with quality of life, health and physical functioning (mobility and balance).
Objective of the study: To estimate the relationship between social networks with health-related quality of life and physical functioning (mobility and balance).
Methodology: In this cross sectional Pilot study,30 women aged 65 years and older who were independently mobile and free from major illnesses were selected conveniently and assessed using Lubben social network scale-6 (LSNS-6) for social network participation, WHO General Health Questionnaire for Health related quality of life (WHOQOLBREF), Timed Up and Go (TUG) test for mobility and Functional Reach Test (FRT) for balance.
Result: Pearson’s correlation coefficient was calculated between the parameters; a very highly significant positive correlation was found between Social Networks (LSNS-6) and WHOQOL-BREF 4 Domains (p˂0.001). Among 4 domains Domain-1 and Domain-4 correlation were having very strong positive correlation with a correlation coefficient r=0.900, r=0.863 respectively and Domain-2 (r=0.700), Domain-3 (r=0.600) were having strong correlation. Along with that there exists a highly significant moderate positive correlation of LSNS-6 with balance (p=0.012, r=0.452) and a very highly significant strong negative correlation with mobility (p=0.000, r=0.630).
Conclusion: The study showed that in elderly, health related quality of life is associated with better social networks. Analysis of relationship between social networks with balance and mobility showed that better the social networks higher the balance and mobility.
Social networks; Health related quality of life; Physical functioning; Balance; Mobility
Ageing is a process of becoming older; it affects everyone in society in one way or the other. Globally, the elderly population constitutes about 12 percent of the total population of 7.3 billion. In India too, the size and percentage of elderly population has been increasing in recent years and this trend is likely to continue in the coming decades. The elderly population has increased from 77 million in 2001 to 104 million in 2011 by 2050; the elderly population is likely to increase by three times to reach around 300 million. The relatively young India of today will turn into a rapidly greying society in the coming decades [1].
The social networks are the web of relationships that surrounds an individual [2]. Furthermore, stronger and closer social ties represent social resources in times of need, reduce a sense of isolation, and increase the mental and physical functioning of older adults [2-5]. Social network size declines with ageing, in particular for the oldest old [6]. Larger social networks have a protective influence on cognitive function among elderly women aged 75 years and older [7]. On the other hand, small social networks are known to be associated with negative outcomes such as poor health and well-being [8-10]. This is also true for some older adults, where smaller social networks are found to be a risk factor for depressive symptoms [10], more loneliness [11], worse cognition and higher dementia incidence [7].
World Health Organization (WHO) Quality of Life group defines QOL as ‘‘individuals’ perceptions of their position in life in the context of the culture and value systems in which they live and in reference to their goals, expectations, standards, and concerns” [12]. Increasing age is associated with an increased risk of chronic disease, functional decline and hospitalization [13,14]. Such disadvantages may influence both the ability to maintain a social network and the possible positive health effects attached to it. However, maintenance of physical independence, health and a good Quality Of Life (QOL) for the older population are considered important public health goals [15]. This is also a political goal and is even seen as a legal right [16,17]. Furthermore, the QOL is an important concern in healthcare departments involving elderly people and can provide a clinical outcome measure of healthcare [18-20].
Physical function is the capacity of an individual to perform the physical activities of daily living, and includes motor function and control, physical fitness and habitual physical activity [21]. Physical functioning includes mobility, balance and muscle strength, which are key factors in preserving a high level of functioning in later years, and concerns the physiological capacity necessary for a person to perform daily tasks safely and independently with vigor and alertness [22-25]. However, the ageing process tends to reduce mobility, balance and muscle strength, and thus results in difficulties in performing the activities of daily living and normal functioning of elderly people [26,27].
A large proportion of people lives alone and has small social networks and low participation in social activities, making them more susceptible to feelings of loneliness. Evidence has documented that loneliness in old age appears to be an important risk factor of being inactive and worse health, including morbidity and mortality, depression, lower levels of self-rated physical health, and hypertension as well as cardiovascular disease, diabetes, and migraine. An elderlyfriendly supportive environment to promote healthy aging include providing opportunities for the elderly to participate in social engagement, improving the living environment, and promoting age diversity in the work environment [28]. An important goal for politicians and public health stakeholders, and for older people, is to decrease the period of disability at the end of life by delaying its onset [29]. At present, more women than men survive to an advanced age, and older women face more physical limitations and disabilities than men of the same [30,31]. It is therefore important to study the importance of social networking for older women. Identifying and addressing possible associations between the social network, health related quality of life and physical functioning may enhance our understanding of such associations, which in turn may not only help us to tailor care more specifically to fit individuals’ needs and preferences, but also help to improve the quality of healthcare and its outcome [32].
Hence the aim of the study was to find the relationship between social networks with health-related quality of life and physical functioning in community dwelling elderly women.
A cross sectional pilot Study was carried out in a period of 12 months from March 2019 to March 2020. The study was done in elderly women aged 65 years and above residing in Mangalore city and bordering areas.
Participants who are willing to take part in the study were screened for inclusion and exclusion criteria, i.e., participant should be Independently mobile without any Psychiatric disorders, debilitating chronic diseases that required restricted amounts of activity for safety reasons, Recent surgeries, Auditory or visual challenge, Acute neurological illness like stroke and Parkinson’s disease. After seeking their written consent, and the subjects falling within the inclusion criteria were recruited for the study. A sample size of 30 was estimated for Pilot Study. Purposive sampling method was used to include the participants in the study.
Ethical clearance was obtained from the ethics committee of A J Institute of Medical Sciences, Mangalore. The subjects participating in the study were given patient information sheet containing the study details, the informed consent was obtained from the subjects prior to the study.
Lubben Social Network Scale (LSNS-6)
Social networks assessment Lubben Social Network Scale (LSNS-6) was used. The LSNS-6 includes 6 items which measure the size of active and intimate networks of family and friends with whom they could talk to or call for help. The LSNS-6 is constructed from a set of three questions which asses close family relationship ties, and a comparable set of three questions which assess friend ties [33].
WHOQOL-BREF
Health related quality of life was measured using WHOQOLBREF questionnaire; it is a shorter version of widely used QOL assessment instrument comprises of 26 items in the domains of physical health, psychological health, social relationships and environment [34].
Timed Up and Go (TUG)
Mobility component of physical functioning was assessed using Timed Up and Go (TUG) test. The TUG test measures the time taken by a person to rise from a chair, walk 3 m quickly but safely, turn and walk back to the chair, and sit down. A customary walking aid was used if necessary. A chair of approximately 46 cm in height, with arm-rests, was placed to face a marker 3 m away [35].
Functional Reach Test (FRT)
To assess balance, the Functional Reach Test was used which measure the maximum distance (cm) subjects could reach the arms forward from a standing position while maintaining a fixed base of support. The better score out of two attempts was recorded, with higher values indicating better balance. The test has demonstrated reliability, validity and sensitivity to change. In a sample of elderly women (70-87 years old), the mean value for this test was 26.6 cm [36].
The initial assessment of medical history, physical therapy assessment, medical record screening was done. Brief introductions about the procedures were explained to all the subjects. Each participant will be given the questionnaire to fill up and asked to perform the test for mobility and balance. The interview method was used if required; any doubts about the questionnaire and tests were cleared by the principal investigator. The outcomes were measured as the same day with a gap of 10 minute in between the scales. The score was recorded on a recording sheet and entered into an excel worksheet on the same day.
A total of 30 women with a mean age of 71.03 ± 7.07 years participated in the study. The mean and standard deviation of the outcome measures were LSNS-6 questionnaire 15.40 ± 5.48, WHOQOL-BREF Domain-115.20 ± 4.26, Domain-2 14.10 ± 2.55, Domain-37.20 ± 1.35, Domain-415.70 ± 4.29, TUG 14.73 ± 2.77, and FRT 19.00 ± 4.63 (Tables 1-4) (Figures 1-3).
Descriptive statistics | |
---|---|
Mean ± Std. deviation | |
Age | 71.03 ± 7.073 |
LSNS-6 | 15.40 ± 5.481 |
WHOQOL-BREF Domain 1 | 15.20 ± 4.262 |
WHOQOL-BREF Domain 2 | 14.10 ± 2.550 |
WHOQOL-BREF Domain 3 | 7.200 ± 1.349 |
WHOQOL-BREF Domain 4 | 15.70 ± 4.292 |
TUG | 14.73 ± 2.77 |
FRT | 19.00 ± 4.638 |
Table 1: Demographic characteristics of the participants and outcome measure score.
Domain-1 | Domain-2 | Domain-3 | Domain-4 | ||
---|---|---|---|---|---|
LSNS-6 | Pearson correlation | 0.9 | 0.7 | 0.6 | 0.863 |
Sig. (2 Tailed) | 0 | 0 | 0 | 0 | |
N | 30 | 30 | 30 | 0.3 |
Table 2: The correlation between social networks and whoqolbref 4 domains.
FRT | ||
---|---|---|
LSNS-6 | Pearson Correlation | 0.452 |
Sig. (2-tailed) | 0.012 | |
N | 30 |
Table 3: Correlation between social networks and balance.
TUG | ||
---|---|---|
LSNS-6 | Pearson correlation | -0.63 |
Sig. (2-tailed) | 0 | |
N | 30 |
Table 4: Correlation between social networks and mobility.
Figure 1: Social networks and health related quality of life.
Figure 2: Social networks and balance (FRT).
Figure 3: Social networks and Mobility (TUG).
There was a very highly significant positive correlation present between Social Networks (LSNS-6) and WHOQOL-BREF (p˂0.001). Among 4 the four domains, Domain-1 and Domain-4 correlation were having very strong positive correlation with a correlation coefficient r=0.900, r=0.863 respectively. Domain-2 (r=0.700), Domain-3 (r=0.600) were having strong correlation.
On Karl Pearson Correlation test, a statistically significant moderate positive co-relation (r=0.452, p=0.01) was estimated between Social Networks (LSNS-6) and balance (FRT score).
Karl Pearson correlation was done to estimate the relationship between Social Networks (LSNS-6) and mobility (TUG score). It was found that there is a very highly significant strong negative correlation was present between these variables (r=-0.63, p=0.00).
The study investigated the association of social networks with health-related quality of life and physical function of mobility and balance in community dwelling elderly women aged 65 years and above. The study was carried out among urban population of selected district in Southern India.
The demographic shift within the human population identified worldwide over the last decades. Whereas birth rates are drastically decreasing in industrialized countries, life expectancy is increasing and the mortality rate is declining. Reasons for this demographic shift are a suspended or total lack of desire to have children among the younger generation on the one hand, improved health care and increased hygiene standards and health education on the other hand [37]. Globally, the elderly population constitute about 12 percent of the total population of 7.3 billion, India to the percentage of greying society is increasing along with the world population 1. However, it is desirable to not only reach an old age but also achieve healthy ageing ideally with a high quality of life, where physical functioning and social networks play central roles [37]. Substantial evidence accumulated suggest that social relationships are important for mental and physical well-being across the lifespan. The celebration of Individualism, autonomy, addressing of physical and material needs more importantly than the social need forgetting the biological fact that we are fundamentally a social species and our nature is to recognize, interact, and form relationships with conspecifics [38]. Evidence suggests that women live to an increased age compared to men [32]. Considering these factors our study was to find the association of social networks with health-related quality of life and physical functioning in community dwelling elderly women.
Our results suggest that reduced social network features a negative impact on the health-related quality of life in community dwelling elderly women. We studied the association of social networks with 4 domains (physical, psychological, social and environmental) of quality of life. A decreased social connection and thus lack the health promoting influences of social others, reduced social network size and quality will end up in the feeling of loneliness, depressive symptoms, less motivation to participate in physical activity etc. In our study also we've found a robust correlation between social networks and each domain of quality of life [39]. An experimental research on rats demonstrated that social isolation and hyper vigilance increase the incidence of mammary tumors and compromise innate immune reaction to fret. In humans, deficits in social relationships like social isolation or low social support can similarly cause chronic activation of immune, neuroendocrine, and metabolic systems that dwell the pathways, leading to cardiovascular, neoplastic, and other common aging-related diseases 40. Similar associations were found in the previous studies too. Bergland et al. Suggest that close social relationships, participating in social networks will leads to better quality of life [32]. Similarly, a study done by Niedermeier et al. generally confirmed a positive relationship between physical functioning and QOL [37].
Our results showed a reduced physical functioning with reduced social networks. The mechanisms underlying the association between social activity and disability are unknown. Social activity may reinforce the neural networks and musculoskeletal function required to maintain functional dependence in the face of declining physiologic reserve capacity in later life, in what may be a case of “use it or lose it” with regard to function. Indeed, previous work has shown that social activity is associated with a slower rate of decline in motor function [40]. Psychosocial perspective, social activity may reinforce meaningful social roles, thereby providing a sense of value and belonging and more active participation in physical activities this will leads to improved physical functioning and quality of life in its various domains. Gerontologists have long recognized that older persons. Who has higher levels of daily activity and larger social networks have less disability in later life? This relation between the variables that is social networks and physical functioning is applicable in either direction too. Our study result is also in line with the previous studies. A study done by Yang et al. found that particular network and support characteristics may have unique influences on health. They found that the links between social embeddedness and better physical functioning, as well as lower clinically significant disease risks [40]. Study done by Bryan D. James also concluded that socially active older adults tend to be more physically active with better physical functioning characteristics [41].
Our study included participants who stayed alone, who stayed with family, widows, divorcees etc. The majority of the participant’s education qualifications were also different. Our study population included only elderly women aged 65 and above, being vulnerable population with a low educational level, they were ignorant of the need to express their problems and was afraid to answer many questions because of the fear of being abandoned. But from the available data and the interview method used to collect the data, we found that elderly women experience lack of social support due to fast competent growing society, poor attention given to the to the elderly population from the family they belong to, loss of spouse, loss of friends and unable to reach close friends due to physical challenges. Along with that family members give more concentration to the physical and materialistic needs of the elderly. Family being the basic primary social support system the social support is disturbed in the primary level when above mentions things happens. So, this eventually progress to the feeling of loneliness, depression and associated health related complications and disability. The participants who lost their spouse were more vulnerable to the fear of death it leads to making them less active and withdraw from the family and friend circle and which further leads to the feeling of loneliness. Age related physical challenges appeared to prevent participation in social activities and social networks. Our study and the previous studies show the relationship in either direction between the variables too.
Even though our study has its own limitations the results shows a strong relationship between social networks with health-related quality of life and physical functioning in elderly women. The relation between the variables in either direction was also profound in our study and the past literature. Social network characteristics can include the network size, the connection between members of the network, and therefore the frequency of contact between network members. Social activity also referred to as social participation or engagement which includes meeting friends, attending events or functions, volunteering or participating in occupational duties or group recreational activities. Social support, often divided into emotional, instrumental, and informational. Social support refers to a person’s perception of the availability of help or support from others in their social network.
Finding relationship of social networks with health-related quality of life and physical functioning has several implications. Social networks and activity represent structural aspects of social relationships, while social support represents functional aspects of social relationships [42]. This sense of attachment to family, friends, and community may provide a strong motivation to take care of functional performance in later life. Reduced social networks size and quality leads to loneliness and depressive symptoms; it has been already established that loneliness is further associated with adverse health outcomes, including mortality, morbidity, depression, poor sleep, systolic hypertension, heart disease etc. [39]. Good social networks in elderly, apart from making them lonely, the associated improved perceived quality of life could lessen the effects of age-related decline in functioning.
Educating elderly on the need of social networks and its health promotion effects may be considered in the light of findings of this study. As physical therapists, we aim to promote healthy ageing lessening the impact of disease and disability associated with ageing. We can better their physical functional status; cognitive status and emotional status health promoting therapeutic exercises in group. Engaging in group exercise among community dwelling elderly will give them an opportunity to interact with people facing similar challenges and be emotionally strong by sharing and caring each other: along with the functional improvement by doing exercise. In addition, being one among the primary health care providers, we may also educate and encourage social workers or community agencies on the need for social interaction in elderly; and for consideration of social programs such as group meals, senior center activities, and volunteerism, which may ameliorate and reduce the impairments associated with reduced social networks. Better Social networks in elderly could contribute to achieve healthy ageing, by creating physically and mentally strong active elderly population with a better perceived quality of life.
Our study was done in community dwelling elderly women aged 65 and above, the educational, cultural, family backgrounds were different among the participants and this makes it difficult to generalize data even though the population of study and the study setting were clearly defined. The sample size of the study was also small. The LSNS-6 which was used to assess the social networks only focus on the size of the social networks, it does not give a close look up towards the quality of social networks and other aspects of it. It also appeared that participants needed prompting to open up and answer the questions. Using culturally validated questionnaire could also help participants to express themselves more accurately.
Further studies may be undertaken with a larger sample more exclusively defined population since different cultural educational and family backgrounds could possibly affect the social network participation and quality of it.
The term ‘Elderly’ is applied to those individuals belonging to age 65 years and above, who represent the fastest growing segment of populations throughout the world. Globally, the elderly population constitutes about 12 percent of the total population of 7.3 billion. In India too, the size and percentage of elderly population has been increasing in recent years and this trend is likely to continue in the coming decades. Even the healthiest, aesthetically fit cannot escape these changes. Slow and steady physical impairment and functional disability are noticed resulting in increased dependency in the period of old age. There is an increase in social networks related problems in the highest age-groups. The reduction in social networks participation and social support in the higher age groups might be explained by age related physical, physiological, emotional, functional changes, more importance given to the physical needs than the social needs. Most studies found that women social networks related issues more commonly than men and women lives to a longer age than men. However, it is desirable to not only reach an old age but also achieve healthy ageing ideally with high quality of life, where physical functioning and social networks play central role.
In this cross-sectional pilot study, a total of 30 elderly women aged 65 residing in selected district of Southern India, who were willing to take part in the study were screened for inclusion and exclusion criteria, after seeking their written consent, and the subjects falling within the inclusion criteria were recruited for the study by using purposive sampling technique. The study was carried out in a period of 12 months from March 2019 to March 2020. The main aim of the study was to find the relationship of social networks with health-related quality of life and physical functioning of mobility and balance in community dwelling elderly women. Each participant was given the questionnaire to fill which assessed social networks and health related quality of life. Then participants were asked to perform the test for mobility and balance. The LSNS-6 was used to assess social networks, to assess health related quality of life WHOQOLBREF was used, the balance and mobility was assessed using FRT, TUG respectively.
The result of the study showed a strong association between social networks and health related quality of life, also social networks with balance and mobility component of physical functioning in elderly women. The relationships were bidirectional between the variables. Being physical therapist we can go for the improvement of physical functioning by implementing therapeutic exercises to the community dwelling elderly people and make them physically more active and improve cognitive ability and reduce feeling of loneliness and can also implement group therapy session by making elderly peer group and make them share mingle with people who are facing same challenges and can build a better emotionally and physically strong active greying society.
The study concluded that in elderly, higher health related quality of life is associated with better social networks. Analysis of relationship between social networks with balance and mobility showed that better the social networks higher the balance and mobility.
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Citation: Rajna K.M (2020) Association of Social Networks with Health-Related Quality of Life and Physical Functioning in Community Dwelling Elderly Women-A Pilot Study. Int J Phys Med Rehabil. 8:574.
Received: 13-Oct-2020 Accepted: 27-Oct-2020 Published: 03-Nov-2020 , DOI: 10.35248/2329-9096.21.8.574
Copyright: © 2020 Rajna K.M. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited