|Year : 2019 | Volume
| Issue : 6 | Page : 562-568
Development of Comprehensive Satisfaction Index (ComSI) and its association with WHOQOL-BREF
Bhupendra Singh, Nisha Mani Pandey, Betsy Mehrotra, Anamika Srivastava, Alok Kumar Chowdhury, SC Tiwari
Department of Geriatric Mental Health (DGMH), King George's Medical University (KGMU), Lucknow, Uttar Pradesh, India
|Date of Submission||24-Jul-2018|
|Date of Acceptance||08-Aug-2019|
|Date of Web Publication||11-Nov-2019|
Dr. Nisha Mani Pandey
Department of Geriatric Mental Health, King George's Medical University, Lucknow - 226 003, Uttar Pradesh
Source of Support: None, Conflict of Interest: None
| Abstract|| |
Background: Comprehensive satisfaction in life may be considered as a significant contributor to health for everyone, including the aging population (individuals aged 45 years and above). For understanding the comprehensive satisfaction, an assessment measure with various psychometric properties may be useful. During a longitudinal study of aging and geriatric mental health, a 26-item tool was developed in Hindi for the assessment of satisfaction. This article aimed to analyze the items of Comprehensive Satisfaction Index (ComSI) applying Varimax rotation and to find out its association with World Health Organization Quality of Life Brief (WHOQOL-BREF). Methods: Data of 260 subjects were extracted from the longitudinal study to analyze the psychometric properties of the tool named as Comprehensive Satisfaction Index and its association with various domains of WHOQOL-BREF. Varimax rotation was applied after computing Kaiser–Meyer–Olkin and Bartlett's test of sphericity. Furthermore, the association between various components of ComSI and various domains of WHOQOL-BREF was explored. Results: Of the total 26 items of the tool, item no. 17 was excluded due to its –ve/ <0.31 value. A total of three components were generated with >1 eigenvalues; maximum items were loaded in component 1 (19) followed by components 2 (4) and 3 (2). Each of these factors has been significantly correlated with each other. Furthermore, these components also were compared with various domains of WHOQOL-BREF, and positive correlation was obtained for most of them. Conclusion: There is a positive association between ComSI and WHOQOL-BREF. This tool will help in identifying the satisfaction level of the aging subjects promptly and efficiently, which would further help in making strategies for interventions.
Keywords: Aging, association, comprehensive satisfaction, World Health Organization Quality of Life Brief
Key messages: Satisfaction is the ultimate achievement which develops contentment and makes a person happy. However, it is an imperceptible and intangible concept having many levels i.e. from physical infrastructure to recreational and spiritual facets. In view of the importance of the subject the author thought to develop an index for measuring the level of satisfaction within the lives of elderly; keeping in mind the cultural intricacies and social roles along with contextual existing notions of ageing in India.
|How to cite this article:|
Singh B, Pandey NM, Mehrotra B, Srivastava A, Chowdhury AK, Tiwari S C. Development of Comprehensive Satisfaction Index (ComSI) and its association with WHOQOL-BREF. Indian J Psychol Med 2019;41:562-8
|How to cite this URL:|
Singh B, Pandey NM, Mehrotra B, Srivastava A, Chowdhury AK, Tiwari S C. Development of Comprehensive Satisfaction Index (ComSI) and its association with WHOQOL-BREF. Indian J Psychol Med [serial online] 2019 [cited 2020 Jun 6];41:562-8. Available from: http://www.ijpm.info/text.asp?2019/41/6/562/270656
Santoshah Paramam Sukham (satisfaction with one's situation is the ultimate bliss) is one of the oldest sayings in Indian scriptures. Neugarten et al. call life satisfaction as “an operational definition of 'successful aging'.” It is universally observed that an individual usually performs any activity which is directed to satiate his or her level of satisfaction to restore any kind of imbalance, which often causes unhappiness or discomfort. Life satisfaction is characterized, in agreement with the cognitive theory, as “individual's cognitive judgment about comparisons based on the compatibility of their own living conditions with the standards.” If we further analyze the notion for an aging population, comprehensive satisfaction is generally associated with the fulfillment of basic necessities of life as, if that remains unfulfilled, negative emotions come out. In addition, if that remains the case for a longer time, it may impair one's well-being, generate health-related problems, and delay recovery from poor health. Hence, an index of comprehensive satisfaction is needed to assess its level in the individual. Among the aging population, for assessment of satisfaction, one's subjective well-being is frequently used.,,, As an irreversible degenerative process, aging is associated with changes in a variety of external and internal factors, including health, socioeconomic status, living arrangements, care, and the existence of social support groups. Subjective expression of the quality of life (QoL) may be assessed by level of satisfaction, which is a forecaster of longevity, morbidity, disease, and injury as well as successful aging.,, It is also reported that life satisfaction is a comprehensive indicator of successful aging, and proper social support, active participation in activities, and economic satisfaction are positively correlated with better self-rated health and greater satisfaction with life. It may be said that comprehensive satisfaction is a positive phenomenon for assessing or managing problems of old age and improving health and well-being.
The aging population is more concerned for their satisfaction and health conditions and that is often influenced by their socioeconomic status and limited work performance., It will be worth mentioning that changes in demographic pattern along with ever-changing psychosocial milieu and disintegration of joint families often make the elderly dissatisfied with the surroundings. This disintegration has profoundly affected the incipient aging population. In rural areas, the health of older persons is mostly predominated by poverty, lack of education (especially for women), poor nutrition, and increased risk of accidents., An article reveals that one's subjective QoL may be defined in terms of the level of life satisfaction and subjective well-being, happiness, and morale. To assess one's level of well-being, happiness, and life satisfaction, the Comprehensive Satisfaction Index (ComSI) may be helpful.
Taking it into cognizance, during a large-scale cross-sectional study of aging titled “Lucknow Elderly Study (LES) in aging and geriatric mental health,” a 26-item tool was developed for assessing level of overall satisfaction of the participants. This was further named as Comprehensive Satisfaction Index. This tool was developed in Hindi and assesses satisfaction of aging individuals on various significant aspects of life by taking their own viewpoint on a 5-point scale [Table 1]. These aspects are explained in simple statements and related to one's physical environment/infrastructure, availability of food, and its quality, psychosocial milieu, economic, spiritual, and well-being-related securities, and so on. This article aims to examine the psychometric properties of this tool and its association with World Health Organization Quality of Life Brief (WHOQOL-BREF) to ascertain its reliability.
|Table 1: Varimax rotated factor matrix for items of ComSI applied on rural participants of LES age ≥45 years (n=260)|
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- To analyze and explore items of ComSI administered on a rural aging population
- To assess and find out the association of ComSI with various domains of WHOQOL-BREF.
| Methodology|| |
A longitudinal study was planned, developed, and proposed for studying various dimensions of aging and is being carried out on individuals age 45 years and above. In this study, data pertaining to a wide range of variables are being obtained related to subjects' demographic – socioeconomic status, physical and mental health status, lifestyle, habits, healthcare preferences, comprehensive satisfaction, routine, and QoL. For assessing these variables, some of the available tools are being applied, and for some, we have developed questionnaires in Hindi. One of these was ComSI. In developing ComSI, initially, we have identified various domains of ComSI (initially named as life satisfaction), for which the steps of tool development were followed. A brief description of steps applied for tool development is as following:
To develop the tool, we had a discussion among the team to come on a consensus for identifying domains of satisfaction. After discussions with the LES team of experts (three psychiatrists and three psychologists) and with consensus, we identified six domains (namely, physical environment, psychological environment, social environment, health facilities, economic independence, and recreation). It will be worth mentioning that an individual generally feels contented and happy if his physical-psycho-social-financial-recreational needs are fulfilled, and this makes him or her satisfied too. Keeping this in mind, on these six domains, items were generated by three independent psychologists. All items were then given to five independent experts to check the validity of contents of the items and rate the items on a 5-point scale, ranging from not relevant at all to very relevant. After the validation exercise, a 26-item tool was developed. These items were related to family infrastructure, psychosocial milieu, interpersonal relationship (IPR), available facilities, and so on, which are rated on a 5-point scale ranging from completely satisfied to completely dissatisfied. The content of the ComSI was validated by the group of experts, and the tool was pretested on a small group (30 subjects) to ascertain its feasibility. After pretesting, the items have further been modified and shaped in its present version. The tool gives an inclusive index of satisfaction, including individuals' personal, social, and recreational activities as well as available facilities in the milieu and satisfaction with self. With consensus, we have modified the name of this questionnaire from Life Satisfaction to ComSI.
After the entire exercise, the present version is being administered on the LES population. As we have a considerable number of surveyed proforma, we set to analyze the items of ComSI. Data of 260 rural subjects were extracted and analyzed, applying principal component analysis (PCA) and Varimax rotation. To get various statistical values, that is, Kaiser–Meyer–Olkin (KMO) measure of sampling adequacy, Bartlett's test of sphericity, PCA, eigenvalues, and Varimax with Kaiser normalization, the software of Statistical Package for the Social Sciences (SPSS-20) was used.
Ethical approval for the main study was obtained from the Institutional Ethical Committee. Eligible respondents of the study were briefed about the purpose of the study. Prior to data collection, we have obtained written informed consent from all participants.
| Results|| |
Data of 260 subjects were analyzed. It was a representative proportion of the study population, namely, sex (male = 42.3%; female = 57.7%), age (45–59 years = 42.3%; 60–69 years = 28.1%; 70 years and above = 13.1%), and socioeconomic status (upper = 7.3%; middle = 63.1%; lower = 29.6%) [Figure 1]. KMO and Bartlett's test were applied to see sampling adequacy, which reveals appropriateness of sample size. KMO measure of sampling adequacy was found to be very good, that is, 0.957, and Bartlett's test of sphericity (app. χ2 = 6684.6, Df = 325, P = 0.001) shows that norms for factor analysis are met. Thus, PCA and Varimax rotation were applied. The percentages of >1 initial eigenvalues, variance, and extracted sum of square loadings were found to be 56.43, 6.68, and 4.79 respectively, and thus, a total of three components were extracted. Through PCA, three components were identified. The items of these are related with (1) living environment and IPR; (2) freedom for economic and self-activities; and (3) satisfaction with leisure activities. On the rotated component matrix, the minimum value was 0.478, which was obtained for item no. 24 (component 2). Only one item had to be excluded, as it projected a negative value/<0.31 (item 17). The details of the analysis are provided in [Table 1]. Furthermore, Pearson's r was applied to assess the strength and magnitude of the association of factor scores with each other and with WHOQOL-BREF.
|Figure 1: Socio- demographic details of the Study Participants. SES - Socioeconomic status|
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The items incorporated in various factors have been categorized as follows:
- Component 1: Family environment and IPR (19 items, i.e., item nos. 1, 2, 3, 4, 5, 8, 9, 10, 11, 12, 15, 16, 20, 21, 22, 23, 24, 25, and 26): An Indian aging adult often quotes “Care and respect in family gives strength” or “it doesn't matter if we get less food, but we need due respect.” Responses on ComSI also give more weight to items related to care, respect, and opportunities to emotional expression; this all can be expressed with one word, that is, IPR/bonded relationship. These items significantly correlated with domains of WHOQOL-BREF except social relation [Table 2]
- Component 2: Satisfaction with financial and self-activities-related independence (4 items, i.e., item nos. 13, 14, 18, and 19): The items related to the second factor of the ComSI are related to subjects' satisfaction with available freedom for financial matters and self-activities. This was found to significantly correlate with social and environment domains of WHOQOL-BREF [Table 2]
- Component 3: Satisfaction with available leisure activities (2 items, i.e., item nos. 6 and 7): There are two items in this factor which are related to satisfaction with available recreational activities. Factor 3 was also found to significantly correlate with all domains of WHOQOL-BREF, excluding social relations [Table 2].
|Table 2: Correlation coefficient (Pearson's r) between various components of ComSI vis a vis domains of WHOQOL-BREF (n=260)|
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[Table 3] provides the association of various factor scores with each other, applying Pearson's correlation coefficient.
|Table 3: Correlation coefficient (Pearson's r) between various components of ComSI (n=260)|
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[Table 3] reveals that all these items are positively and significantly correlated with each other. Furthermore, the association between various domains of WHOQOL-BREF scores with various factor scores of ComSI was also computed, applying Pearson' r [Table 2].
Most of the factors of ComSI are positively and significantly correlated with various domains of WHOQOL-BREF.
| Discussion|| |
Most tools for assessing various aspects related to life satisfaction among the aging population were developed either in western countries or were developed targeting a particular community of the society, that is, hospital-based/urban or rural. Hardly any tools have been developed in our country for assessing the satisfaction index of any population. The present tool was aimed to assess comprehensive satisfaction in both rural and urban areas and was initially administered on the rural population. In India, a larger proportion of the aging population lives in villages; the proportion of the population age 45 years and above is 2:1 (rural = 171.4; urban = 82.3 million).
PCA and Varimax rotation were applied and three components emerged. One of the items (no. 17) of ComSI was excluded due to its negative value on component 1 and lesser value on second and third components. Therefore, a total of 25 items has been finalized. Furthermore, the intercorrelation between each component of the tool was computed using Pearson's correlation. All factors of the tool were found to be positively and significantly correlated with each other. This tool provides key features regarding one's satisfaction, and therefore, with consensus of the team members, it was named as ComSI. The items loaded with different factors were further subgrouped and named as satisfaction with the family environment and IPR, satisfaction with financial and self-activities-related independence, and satisfaction with available leisure activities.
Various empirical studies provide favorable results on these themes, which strengthen ComSI. Studies report that one's level of satisfaction with family support is a significant factor for the better psychological well-being of the aging individuals; social support was found to be most influential factor for overall satisfaction; family solidarity improves overall satisfaction and poor family solidarity reduces the overall satisfaction. Social engagements and activities were also reported as a positive indicators of satisfaction. Family relations were also reported as an important indicator of satisfaction. With few exceptions, economic security, functional ability, and social integration were all conditions that in the same way significantly contribute to the satisfaction of older adults. In view of the analysis of ComSI items and its association with WHOQOL-BREF, it may be said that ComSI may provide an index for identifying the level of comprehensive satisfaction of an aging population, which further may help in developing better management strategies for health and well-being of this segment of the population. A recent study revealed that lower levels and steeper declines of life satisfaction were each uniquely predictive of higher mortality risks, independent of sociodemographic variables, physical health, perceived control, and social orientation. The study further reveals that high level of life satisfaction improves QoL, whereas low satisfaction marks serious shortcomings.
Although satisfaction plays a major factor in one's health and well-being, with an advancement in age, comprehensive satisfaction may be treated as a key component. ComSI not only identifies, addresses, and assesses the comprehensive satisfaction of the aging population but also gives clues for intervening components. It identifies three components of comprehensive satisfaction, which were found to be positively associated with each other and WHOQOL-BREF domains.
The tool has been administered on rural subjects, and therefore, it cannot be generalized until urban data have been analyzed. Second, because of the cross-sectional design, this study has limited extrapolative value. Third, again, because it is a cross-sectional study, the results may change over time.
| Conclusion|| |
This tool emerged with three components, that is, satisfaction with the family environment and IPR, satisfaction with financial and self-activities-related independence, and satisfaction with available leisure activities. There is a positive relationship between the scores of various aspects of ComSI. With proper care and support, a cordial relationship may be developed, and with pleasant IPR, a majority of elderly may remain satisfied, which will further help in enhancing their health and well-being. The present tool will enable us to determine the satisfaction index of the aging subjects, which may give clues for proper intervention and management.
After completion of reliability exercise on urban data, this tool will be translated and circulated to obtain data from various study centers as a process of further validation of the tool.
We would like to thank the State Govt. of Uttar Pradesh for establishing and supporting the 'Centre for Advance Research, Training and Services (CARTS) in Aging and Geriatric Mental Health' in the Dept. of Geriatric Mental Health, King George's Medical University, Lucknow.
We appreciate the efforts of the Research Team of CARTS for collecting data and maintaining the same properly.
Our special thanks to the Eminent Professor of Psychology Dr. Girishwar Misra, Ex-Vice-Chancellor, Mahatma Gandhi Antarrashtriya Hindi Vishwavidyalaya, Wardha for giving his valuable time in giving his expert opinion and input during the development of the tool.
Financial support and sponsorship
Conflicts of interest
There are no conflicts of interest.
| References|| |
Neugarten BL, Havighurst RJ, Tobin SS. The measurement of life satisfaction. J Gerontol 1961;16:134-43.
Abu-Bader SH, Rogers A, Barusch A. Predictors of life satisfaction in frail elderly. J Gerontol Soc Work 2002;38:3-17.
Pinquart M, Sörensen S. Influences of socioeconomic status, social network, and competence on subjective well-being in later life: A meta-analysis. Psychol Aging 2000;15:187.
Silverman P, Hecht L, McMillin JD, Chang S. Social networks of older adults: A comparative study of Americans and Taiwanese. Amherst, NY: Cambria Press; 2008.
Baltes PB, Baltes MM. Psychological perspectives on successful aging: The model of selective optimization with compensation. In: Baltes PB, Baltes MM, editors. Successful Aging: Perspectives from the Behavioral Sciences. New York, NY: Cambridge University Press; 1990. p. 1-34.
Freund AM, Baltes PB. Selection, optimization, and compensation as strategies of life management: Correlations with subjective indicators of successful aging. Psychol Aging 1999;14:700-2.
Rowe JW, Khan RL. Successful aging and disease prevention. Adv Ren Replace Ther 2000;7:70-7.
Fernández BR, Dolores ZM, Angel RM. The contribution of socio-demographic and psychosocial factors to life satisfaction. Ageing Society 2001;21:25-43.
Hsu HC, Jones BL. Multiple trajectories of successful aging of older and younger cohorts. Gerontologist 2012;52:843-56.
Krause N, Jay G, Liang J. Financial strain and psychological well-being among the American and Japanese elderly. Psychol Aging 1991;6:170.
Lee SG, Jeon SY. The relations of socioeconomic status to health status, health behaviors in the elderly. J Prev Med Public Health 2005;38:154-62.
Shin DC, Johnson DM. Avowed happiness as an overall assessment of the quality of life. Soc Indicators Res 1978;5:475-92.
Nikita S, Sunita M. Influence of types of living on life satisfaction among elderly of Lucknow city. Int J Home Sci 2016;2:277-9.
Rathaur A, Mishra S. Study on institutionalized and non-institutionalized elderly people. Int J Home Sci2016;2:77-9.
Efklides A, Kalaitzidou M, Chankin G. Subjective quality of life in old age in Greece: The effect of demographic factors, emotional state and adaptation to aging. Eur Psychol 2003;8:178.
Mehrotra B, Pandey NM, Kumar P, Sinha S, Tiwari SC. Life satisfaction and its determinants in rural aging population of Lucknow, India. J Psychos Res 2018;13:29-37.
Chandramauli C. Census of India 2011: Provisional population totals paper 1 of 2011 India Series 1, Chapter 6. New Delhi, India: Office of the Registrar General and Census Commissioner; 2011.
Marpady P, Jyothi PS, Singhe MS. Social support network and life satisfaction among elders in Mangalore Taluk: An implication for social work intervention. Elixir Soc Sci 2012;15;48:9457-60.
Banjare P, Dwivedi R, Pradhan J. Factors associated with the life satisfaction amongst the rural elderly in Odisha, India. Health Qual Life Outcomes 2015;13:201.
Patil PB, Yadav VS, Gaonkar V. Influence of family solidarity on life satisfaction of the elderly. J Dairy Foods Home Sci 2009;28:149-51.
Jamuna D. Psychological dimensions of caregiver's stress. In: Kumar V, editor. Aging: Indian Perspective and Global Scenario. New Delhi, India: AIIMS; 1996. P. 253-5.
Lim HJ, Min DK, Thorpe L, Lee CH. Multidimensional construct of life satisfaction in older adults in Korea: A six-year follow-up study. BMC Geriatr 2016;16:197.
Prasoon R, Chaturvedi KR. Life satisfaction: A literature review. Int J Manage Hum Soc Sci 2016;1:25-32.
[Table 1], [Table 2], [Table 3]