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Original Article
2025
:20;
17
doi:
10.25259/GJMPBU_69_2025

Influencing Factors of Quality of Life in Elderly: A Comparative Cross-sectional Study in Old Age Homes and Senior Citizen Clubs

Amrita Patel Center for Public Health, Bhaikaka University, Anand, Gujarat, India.
Department of Community Medicine, Pramukhswami Medical College, Bhaikaka University, Anand, Gujarat, India.
Author image

*Corresponding author: Mamta Roshan Patel, Amrita Patel Center for Public Health, Bhaikaka University, Anand, Gujarat, India. rm239824@gmail.com

Licence
This is an open-access article distributed under the terms of the Creative Commons Attribution-Non Commercial-Share Alike 4.0 License, which allows others to remix, transform, and build upon the work non-commercially, as long as the author is credited and the new creations are licensed under the identical terms.

How to cite this article: Patel MR, Singh US. Influencing Factors of Quality of Life in Elderly: A Comparative Cross-sectional Study in Old Age Homes and Senior Citizen Clubs. Glob J Med Pharm Biomed Update. 2025;20:17. doi: 10.25259/GJMPBU_69_2025

Abstract

Objectives:

Across the globe, the proportion of older adults has been gradually expanding over time. With increased longevity comes a range of challenges, including the transformation of family structures. Quality of life (QOL) is a significant concern among the elderly, which is also influenced by their place of residence. This study aims to assess the QOL and its influencing factors among old age homes (OAHs) and senior citizen club members.

Material and Methods:

This cross-sectional study included a total of 204 elderly individuals aged above 60 years, with an equal proportion from two settings: 102 participants living in OAHs and 102 community-based seniors actively engaged in social clubs across Anand District, Gujarat. Data were collected through interviews using a semi-structured questionnaire, along with the old people’s QOL-brief questionnaire to evaluate QOL. Associations were assessed using both univariate and multivariate analytical methods using the statistical software STATA 19.

Results:

Among all participants, 56.8% (116) were female, and 50.9% (104) belonged to the 71–80 age range. Half of the study participants were financially dependent. The average standardized score of QOL was significantly more in the senior social club group 89.7 ± 5.5, compared to OAHs residents 70.3 ± 10.3 (P < 0.001). The lowest domain score among old age home residents was in social relationships, while the highest was in home and neighborhood. Using multivariable analysis, membership of a senior social club, education, and receiving a pension were identified as significant factors influencing QOL.

Conclusion:

In general, QOL was good in both settings. The findings reveal a lack of social and recreational activities among OAH residents. Receiving a pension emerged as a significant factor influencing the QOL among elderly individuals.

Keywords

Elderly
Old age home
Quality of life
Senior social club

INTRODUCTION

Across the globe, the proportion of older adults has been gradually expanding over time. Aging is a universal, inevitable process that affects everyone, regardless of age, gender, socioeconomic status, or place of residence. Today, life expectancy at birth in developed countries has nearly doubled, and so, the proportion of older adults is rising worldwide. The global population is witnessing a steady increase in the percentage of older individuals across all nations.[1] At present, older adults make up 8.2% of India’s total population, and this proportion is projected to rise to 20% by the year 2050.[2] Gujarat’s overall growth rate has surpassed the national average of 17.6%, increasing by over 19% in the last decade.[3]

Improved healthcare, with advancements in medical technology, treatments, and medicines, has significantly reduced mortality rates. With increased longevity comes a range of challenges, including the transformation of family structures. Increasing urbanization and modernization are reshaping the traditional family structure in India. The shift from joint to nuclear family structures is becoming increasingly prevalent among younger couples. When children move away for education or career opportunities, elderly parents often choose to live independently or move into old age homes (OAHs) rather than relocating with their children. OAHs for the elderly are evolving as an essential requirement in modern Indian society.[4]

Many studies have been conducted across India to evaluate health conditions, oral health, psychiatric morbidity, and quality of life (QOL) among the elderly in various settings, including rural and urban areas, OAHs, and community living. The senior social clubs are private organizations, operated exclusively to provide recreational or social services to the elderly. These clubs offer a range of activities and opportunities for social interaction and entertainment. Senior citizens gather weekly or fortnightly at a dedicated center for meetings. These regular meetings provide opportunities for socialization, recreational activities, and community engagement in a comfortable environment. It provides a space for seniors to connect, get new knowledge, and engage in leisure activities. However, there is a dearth of studies assessing the QOL of individuals who have joined senior social clubs in Indian literature. Moreover, there is a paucity of research in the western region of India, particularly Gujarat, focusing on the well-being of the elderly population. Research conducted across various states in India suggests that the QOL is often better among the elderly residing in the community than those living in OAHs.[5,6] Conversely, other studies have reported the opposite findings, indicating that residents of OAHs tend to experience a relatively higher QOL,[7,8] while in a Tamil Nadu study, authors found that the QOL is comparable in both settings.[9] The findings of these studies are not consistent. However, evidence from systematic reviews, meta-analyses and a few studies indicates that similar research in developing countries like Brazil has shown a higher overall QOL among community living arrangements.[10]

Therefore, the objective of this study is to examine the disparities in QOL among elderly populations in residential care facilities and those involved in community-based senior social clubs. Furthermore, the study seeks to identify the association of various socio-demographic factors that influence their QOL.

MATERIAL AND METHODS

Study population and sampling technique

A cross-sectional study was conducted from January to November 2024 following ethical approval from the Institutional Ethics Committee of Bhaikaka University, Karamsad (IEC/BU/147/Faculty/28/11/2024). The elderly population was selected from Anand district in Gujarat, in two different settings: those residing in private OAHs and those living in the community as members of senior social clubs. Six private OAHs and four senior social clubs were selected using the snowball sampling method.

Sample size calculation and sample characteristics

Participants from both groups were selected based on the inclusion criterion of being aged 60 years or older and having resided in OAHs or participated in senior social clubs for at least 1 year. Individuals with mental health problems such as dementia, depression, or hearing loss were not included in either study group. Written informed consent was obtained from the study participants after receiving administrative approval from the selected OAHs and senior citizen clubs. A study carried out in Tamil Nadu found that 56.2% of individuals living in OAHs reported a good QOL.[11] Based on this prevalence and applying the standard formula for sample size estimation (n = 1.962P (1-P)/E2, for a 95% confidence level along with a 10% margin of precision, the required minimum sample size was determined to be 95 for each group. For residents of OAHswho met the inclusion criteria, the universal sampling method was employed. Out of the 128 residents, 26 who did not meet the inclusion criteria were excluded. A total of 102 elderly people were interviewed from all the OAHs. An equivalent number of elderly individuals from senior social clubs was selected using purposive sampling.

Data collection tools

A semi-structured questionnaire was prepared to gather data regarding sociodemographic attributes and those related to morbidity. The older people’s QOL-brief (OPQOL-Brief) questionnaire, developed by Bowling, was employed to assess participants’ QOL.[12] It is a short version of the OPQOL-35 questionnaire. The development process involved consulting older individuals to identify the most essential items from the OPQOL-35, followed by psychometric assessment using a population sample.[13] Hence, the OPQOL-Brief is structured with 13 core items and an introductory question that measures global QOL. The questionnaire was based on a 5-point Likert scale, where higher scores reflect better QOL. This brief QOL questionnaire demonstrated high reliability and validity among older adults.[14] OPQOL scores were expressed as standardized values, computed by dividing the mean score by the maximum possible total score and multiplying it by 100. To administer this questionnaire among the Gujarati population, it was initially translated into Gujarati and subsequently back-translated into English by individuals fluent in both languages. The investigator then conducted a pilot test to ensure its accuracy and reliability. Cronbach’s alpha for the questionnaire was 0.85, indicating high reliability.

Statistical analysis

Frequency (%) was used for categorical variables and mean ± standard deviation (SD) was used for continuous variables. Differences in QOL score based on sociodemographic factors were assessed using an independent sample t-test or analysis of variance. Categorical data were compared using the Chi-square test. Multiple linear regression analysis was used to predict the variables that influence the QOL scores. Data analysis was performed using STATA 19.0 (STATA Corporation LLC, College Station, Texas, USA).

RESULTS

The study included 102 elderly participants from both the old age home group and the senior social club group. Table 1 shows that among all participants, 56.8% (116) were female, and 50.9% (104) belonged to the 71–80 age range. In the senior social club group, 89 (87.3%) were married, while 13 (12.7%) were widows. In contrast, in old age home, 84 (78.4%) were widowed, representing the majority. Regarding education, 50 (49.1%) in the senior social club group had a college degree, compared to only 22 (21.6%) in OAHs. In the senior social club, only 38 (37.3%) were financially dependent, while in OAHs, the majority, 64 (62.7%), relied on others financially. About 118 (57.8%) of them had chronic morbidity related to hypertension, diabetes mellitus, or cardiovascular diseases [Table 1].

Table 1: Socio-demographic profile of study participants (n=204).
Variables Particulars Old age homes (n=102) Senior social clubs (n=102) Test values* P-value
Age (in years) 60–70 (73) 33 (32.4) 40 (39.2) 5.307 0.070
71–80 (104) 50 (49.0) 54 (52.9)
>80 (27) 19 (18.6) 8 (7.8)
Gender Male (88) 46 (45.1) 42 (41.2) 0.320 0.572
Female (116) 56 (54.9) 60 (58.8)
Marital status Married (98) 8 (8.8) 89 (87.3) 129.608 0.001
Unmarried (10) 10 (9.8) 0 (0)
Widowed/divorcee (97) 84 (81.4) 13 (12.7)
Education Illiterate (13) 13 (12.7) 0 (0) 37.945 0.001
Primary (28) 24 (23.5) 4 (3.9)
Senior secondary (91) 43 (42.2) 48 (47.0)
Graduate or above (72) 22 (21.6) 50 (49.1)
Financial resource Dependent (102) 64 (62.7) 38 (37.3) 21.604 0.001
Saving (62) 25 (24.5) 37 (36.2)
Pension (40) 13 (12.7) 27 (26.5)
Any chronic morbidity (hypertension/diabetic/cardiovascular disease) Present (118) 56 (54.9) 62 (60.8) 0.724 0.395
Absent (86) 46 (45.1) 40 (39.2)
value based on Chisquare test, P<0.05 considered significant

Based on the preliminary single-item question, “good” QOL was reported by 69.6% of old age home residents and 30.4% described it as “alright.” Among senior social clubs, a notably higher percentage (77.3%) characterized their QOL as “good.” Across both groups, there were no ratings of “very bad” or “bad” for overall QOL. The mean standardized score of QOL was more in the senior social club group (89.7 ± 5.5), compared to OAHs residents (70.3 ± 10.3), and the difference was statistically significant (P < 0.001). All domain-wise QOL scores were significantly higher in the senior social club compared to the OAH residents. The lowest domain score among old age home residents was in social relationships, while the highest was in home and neighborhood [Table 2].

Table 2: Comparison of domain-wise standardized OPQOL scores between old age home residents and senior social club (n=204).
Domain In old age homes (n=102) Mean (SD) In senior social clubs (n=102) Mean (SD) Test values† P-value
Life overall 65.2 (16.8) 82.4 (12.5) −8.262 0.001
Health 75.1 (23.4) 92.7 (11.5) −6.820 0.001
Social relationships and social activities 56.2 (13.5) 78.8 (11.5) −12.830 0.001
Independence, control over life, freedom 78.2 (16.9) 95.5 (8.8) −9.157 0.001
Home and neighborhood 91.1 (9.0) 98.9 (4.2) −7.976 0.001
Psychological and emotional wellbeing 68.7 (12.7) 93.6 (9.4) −15.893 0.001
Financial circumstances 63.7 (31.7) 96.2 (8.3) −10.036 0.001

SD: Standard deviation. † value based on an independent sample t-test, P <0.05 considered significant

Bivariate analysis for other socio-demographic variables showed that average QOL scores significantly differed based on marital status, educational level, and financial resources. However, scores did not reveal any statistically significant differences across various age groups, between genders, or morbidity conditions [Table 3].

Table 3: Influence of sociodemographic factors on quality of life (n=204).
Variables Mean (SD) Statistic values P-value
Elderly group
  Old age homes (102) 70.3 (10.3) −16.654* 0.001
  Senior social club (102) 89.7 (5.5)
Age group (in years)
  60–70 (73) 81.7 (12.1) 1.012† 0.365
  71–80 (104) 79.2 (13.8)
  >80 (27) 78.4 (10.3)
Gender
  Male (88) 81.0 (12.5) 0.864* 0.369
  Female (116) 79.3 (12.9)
Marital status
  Married (97) 88.2 (8.5) 60.524† 0.001
  Unmarried (10) 69.3 (10.5)
  Widowed/divorced (97) 72.9 (11.5)
Education
  Illiterate (13) 58.3 (8.5) 28.353† 0.001
  Primary (28) 72.5 (9.6)
  Senior secondary (92) 81.2 (11.4)
  Graduate/postgraduate (71) 85.4 (10.7)
Financial resource
  Dependent (102) 75.4 (13.0) 13.986† 0.001
  Saving (52) 81.5 (11.6)
  Pension (50) 87.8 (8.8)
Any chronic morbidity
  Present (118) 79.3 (14.1) −0.683* 0.495
  Absent (86) 80.5 (11.7)

SD: Standard deviation. *value based on Independent sample t-test, † Analysis of variance test, P<0.05 is considered significant

Results from multiple linear regression demonstrated that three variables emerged as significant predictors of QOL: Senior social club participation (P = 0.001), higher education (P = 0.001), and receiving a pension (P = 0.022). Collectively, these variables explained 65.5% of the variance in QOL scores [Table 4].

Table 4: Multivariable regression analysis of quality of life.
Socio-demographic factors Total quality of life
Standard error Unstandardized regression co-efficient β (95% CI) P-value
Constant 4.519 39.264 (30.3,48.2) <0.001*
Elderly group
  Old age homes (Ref.)
Senior social club 1.784 18.5 (14.9,22.0) 0.001*
Age categories
  60–70 years (Ref.)
    71–80 years 1.208 −2.1 (−4.4,0.28) 0.084
    >80 years 1.837 0.6 (−2.9,4.2) 0.714
Gender
  Female (Ref.)
    Male 1.194 −0.73 (−3.1,1.6) 0.537
Marital status
  Married (Ref.)
    Unmarried 3.056 −0.73 (−6.7, 5.2) 0.811
    Widowed/divorced 1.785 2.6 (−0.8,6.2) 0.134
Education
  Illiterate (Ref.)
  Primary 2.590 12.2 (7.1,17.3) 0.001*
  Senior secondary 2.437 14.2 (9.3,18.9) 0.001*
  Graduate/postgraduate 2.642 15.0 (9.8,20.2) 0.001*
Financial resource
  Dependent (Ref)
    Pension 1.457 3.4 (0.5,6.2) 0.022*
    Saving 1.326 1.1 (−1.4,3.7) 0.397
Any chronic morbidity
  Absent (Ref)
    Present 1.117 −0.54 (−2.7,1.7) 0.629
P<0.05 is considered as significant, standard errors of R2=7.5, R2=0.676, adjusted R2=0.655, CI: Confidence interval

DISCUSSION

Assessing the QOL among the elderly is important to understand their level of satisfaction during this last stage of life. Further findings can also serve as a foundation for shaping and implementing effective local policy strategies. This study facilitated a comparison of the QOL among old age home residents and those members of senior citizen clubs in Anand, Gujarat, while also examining the socio-demographic factors that influence their well-being.

In our study, 50% of the participants were aged between 70 and 80 years, whereas a study from Puducherry reported a comparable proportion of elderly individuals in the 61–69 age group.[15] This discrepancy in age groups could be attributed to the time frame, as the comparative study was conducted half a decade earlier. In our study, female elderly participants were more prevalent, aligning with findings from other studies conducted across India.[5,16] A similar finding was also reported in an Australian study with 76.3% female participants.[17] The increased longevity of women, as evidenced by the population pyramids of both developed and developing countries, accounts for this phenomenon. Most of the 84 participants (80.4%) were widowed in OAHs. This suggests that the elderly widows may have had to depend on OAHs, as they lacked support and care at home. In the present study, very few participants received a pension; this contrasts with the study conducted by Soren et al., in Ranchi, where 50% of the elderly people living in rural areas received a pension living.[18] The reason for this may be due to regional differences.

Old age home residents demonstrated a good average QOL score, consistent with the study by Thresa and Indumathi which reported that 56.2% of residents had an average or higher QOL.[11] The reason for this might be that they were satisfied with the facilities provided to them. However, there was a significant mean difference in QOL score when it was compared with the senior social club group. This observation of high scores in the community is consistent with a study done by Kengnal et al., in Karnataka.[16] However, in a Nagaland study, authors reported contrasting results that Older adults residing in old-age homes reported a better QOL compared to those living with their families.[8] A study by Vignesh et al., in Tamil Nadu, also observed that the QOL did not differ significantly between OAH residents and those residing within the community.[9] This variation may be attributed to differences in the standards of care provided in OAHs. In a few systematic reviews and meta-analyses conducted in developing countries, QOL measures did not differ significantly among participants residing in institutional settings and in community-dwellings for elderly populations.[10] Country-wise, there might be differences in how QOL is perceived in both settings.

Consistent with prior studies in India and Nepal, the mean score for social relationships was the lowest among participants living in OAHs.[6,19,20] The social relationships of the elderly are often influenced by separation from loved ones and diminished interaction with close contacts. There might also be fewer opportunities for social engagement and recreational activities. Conversely, senior social clubs showed significantly higher scores, likely due to the regular engagement in various activities. The enjoyment of club culture and the ability to live independently in their own homes could be important factors.

The highest domain score among OAHs was observed in “Home and Neighborhood.” This may be explained by the availability of key facilities, such as food, safety, and spacious living arrangements, within private OAHs. Supporting evidence comes from studies by Kumar et al., (Himachal Pradesh) and Thakur et al., (Uttarakhand), both of which reported maximum scores in the environmental domain for OAH residents.[21,22]

According to the multivariable regression analysis, being a member of a senior social group had the greatest impact on QOL. This finding may be explained by the observation that the elderly who engage in recreational activities are less likely to experience feelings of isolation and loneliness. These connections not only improve mood but also provide emotional support, fostering a sense of belonging and purpose within the community. Monteiro et al., in a systematic review, underscored the role of social engagement in enhancing the QOL among older adults.[23] This aligns with findings from a study by Devraj and D’mello, which reported significantly higher QOL scores among participants involved in social clubs.[15]

A significant association between literacy and QOL was observed, in line with the findings of Rao et al., from Bihar.[24] The reason could be that educated individuals tend to have a better understanding of the ageing process. In our study, receiving a pension emerged as another significant predictor of enhanced QOL among the study participants. The obtained result aligns with findings from the study by Bloom et al., conducted in India, which identified income as the most influential factor affecting QOL in older adults.[25]

This can be attributed to the fact that financial independence provides the elderly with autonomy and allows them to meet their needs in their preferred way. However, this finding was inconsistent with the Malaysian study.[26] This could be due to participants having other sources of income in addition to their pension.

Recommendations

Some proven interventions such as interacting with orphanage children, teleconsultation, and life review therapy should be implemented in OAHs to improve social relationships.[27,28] To support financially dependent elderly residents in OAHs, the government must strengthen pension schemes and other policies. India does not have a mandatory social security system for all older adults, unlike many other nations. This gap should be addressed by policymakers and concerned authorities.

Limitation

Due to the absence of a comprehensive government registry of all OAHs and senior social clubs with the government, non-probability sampling was employed to recruit participants. Hence, it limits the generalizability of the findings. Other factors which could influence their QOL, such as visiting by family members and reasons for residency. These sensitive questions could remind them of their painful past experiences. In addition, this was an observational study, so causality cannot be established. However, the findings of this study highlight key areas that require attention and careful consideration.

CONCLUSION

In general, QOL was good in both settings. The findings reveal a lack of social and recreational activities among residents of OAHs. The study revealed that one in two participants was financially reliant on external sources. Members of the senior social group, higher education and getting a pension were significant predictors of QOL.

Acknowledgment

The authors are thankful to the old age home managers and the presidents of the senior social clubs for allowing us to conduct the study.

Ethical approval

The research/study was approved by the Institutional Review Board at the Institutional Ethics Committee, Bhaikaka University, Karamsad, Anand, Gujarat, number IEC/BU/147/Faculty/28/11/2024, dated 4th January, 2024.

Declaration of patient consent

The authors certify that they have obtained all appropriate patient consent.

Conflicts of interest

There are no conflicts of interest.

Use of artificial intelligence (AI)-assisted technology for manuscript preparation

The authors confirm that there was no use of artificial intelligence (AI)-assisted technology for assisting in the writing or editing of the manuscript and no images were manipulated using AI.

Financial support and sponsorship: Nil.

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