JCDR - Register at Journal of Clinical and Diagnostic Research
Journal of Clinical and Diagnostic Research, ISSN - 0973 - 709X
Physiotherapy Section DOI : 10.7860/JCDR/2025/74799.20458
Year : 2025 | Month : Jan | Volume : 19 | Issue : 01 Full Version Page : YC01 - YC03

Level of Physical Activity and its Correlation with Mental Health in Community-dwelling Older Individuals: A Cross-sectional Study

Vipra Paragkumar Dalal1, Subhash Khatri2

1 PhD Scholar, Faculty of Physiotherapy, Sankalchand Patel University, Visnagar, Gujarat, India.
2 Former Principal, Faculty of Physiotherapy, Nootan College of Physiotherapy, Sankalchand Patel University, Visnagar, Gujarat, India.


NAME, ADDRESS, E-MAIL ID OF THE CORRESPONDING AUTHOR: Vipra Paragkumar Dalal, D-301, Pushkar 4, PT College Road, Paldi, Ahmedabad, Gujarat, India.
E-mail: vipradalal292@gmail.com
Abstract

Introduction

The global population is ageing rapidly. Physical activity is one of the important factors that can positively impact physical function, mental health and quality of life. Hence, the promotion of healthy living and active ageing is essential for achieving an active and healthy life during this phase.

Aim

To evaluate the level of physical activity and its correlation with mental health in community-dwelling older individuals.

Materials and Methods

A cross-divtional study was conducted from November 2023 to January 2024 at the Apollo Institute of Physiotherapy in Ahmedabad, Gujarat, India. Data was collected from various community-dwelling older individuals in East Ahmedabad, Gujarat, India. The nature and purpose of the study were explained and written informed consent was obtained from a total of 111 participants. The level of physical activity was measured using the Rapid Assessment of Physical Activity (RAPA) (in both English and Gujarati versions). Wellbeing status was measured using the World Health Organisation-5 (WHO-5) wellbeing index (also in English and Gujarati versions). Spearman’s correlation coefficient was used to determine the correlation between the level of physical activity and wellbeing status in community-dwelling older individuals. The level of significance was set at a p-value of <0.05.

Results

The ages of participants ranged from 60 to 80 years, with a mean age of 70.11±3.98 years. Out of 111 participants, 65 were male (58.56%) and 46 were female (41.44%). The mean RAPA score for the study participants was 2.42±1.14, and the mean WHO-5 wellbeing index score of participants was 13.99±3.39. A positive correlation was found between the level of physical activity and wellbeing status (r-value=0.922, p-value=0.001), which was statistically significant.

Conclusion

The present study showed a significant very strong positive correlation between the level of physical activity and the mental health of community-dwelling older individuals. Clinicians may advise older individuals to engage in physical activity to improve their mental health outcomes.

Keywords

Aged,Mental wellbeing,Rapid assessment of physical activity,The World Health Organisation- Five wellbeing index (WHO-5)

Introduction

The proportion and actual number of older adults have grown significantly over the past few decades due to decreased fertility rates and rising life expectancy, a trend that is expected to continue. Healthy ageing, defined by the WHO as “the process of developing and maintaining the functional ability that enables wellbeing in older age,” is considered a key challenge of this decade [1]. Growing older is a natural aspect of life. The accumulation of various types of molecular and cellular damage over time results in ageing [2]. This phase of life is marked by a gradual decline in physical and mental capacities and an increased likelihood of illness. By 2025, the elderly, defined as those aged 60 years and over, are predicted to make up 22% of the global population [3]. Physical activity is an important factor that can affect the rate of ageing [4]. Physical activity refers to any bodily movement produced by skeletal muscles that requires energy as an input. It includes all daily activities such as playing, carrying out household chores, travelling and activities related to work and recreation [5]. An active lifestyle helps to enhance health and wellbeing, and it reduces hospitalisation and care requirements, mortality and the risk of premature death [6]. Existing evidence indicates that low levels of physical activity are prevalent among older individuals worldwide. In India, physical activity levels among older adults remain low, primarily due to socio-cultural, economic and health-related barriers. Limited literature has evaluated the level of physical activity and its relationship with mental health measures [7-10].

With the rising prevalence of mental health issues in older adults, it is essential to study the correlation between physical activity levels and mental health due to the growing ageing population and the increasing burden of mental health issues in later life. Recently, attention has been drawn to the optimal physical and mental health of community-dwelling older individuals. With the advancement of various available facilities, the level of physical activity may be reduced.

With the considerations mentioned above, the present study was designed to evaluate the level of physical activity in community-dwelling older individuals using RAPA-1 and its correlation with mental health using the WHO-5 wellbeing index. The primary objective was to assess the level of physical activity by using RAPA (in both English and Gujarati versions) and mental wellbeing by using the WHO-5 wellbeing index (also in English and Gujarati versions). The secondary objective was to find the correlation between physical activity levels and mental health in community-dwelling older individuals.

Materials and Methods

A cross-sectional study was conducted from November 2023 to January 2024 at the Apollo Institute of Physiotherapy in Ahmedabad, Gujarat, India. Data was collected from various community-dwelling older individuals in East Ahmedabad, Gujarat, India. Ethical approval was obtained from the Institutional Ethical Committee (IEC) (AIP/IEC/Comm.rehab/2022-23/11-R). The nature and purpose of the study were explained to each participant, and informed written consent was obtained from all participants.

Inclusion criteria: Participants age 60 years and above, both male and female participants were included in the study.

Exclusion criteria: Participants with any major musculoskeletal, neuromuscular condition or cardiorespiratory condition, severe cognitive impairment (Mini-Cog score <3) [11] were excluded from the study.

This was a time-bound study, and a total of 111 community-dwelling older individuals from Ahmedabad who were available during the study duration were included.

Study Procedure

Participants were selected based on the inclusion and exclusion criteria and recruited. The study procedure was explained, and written consent forms were obtained from the participants. Demographic details of the participants were collected. The level of physical activity was measured using the RAPA (in both English and Gujarati versions). Wellbeing status was measured using the WHO-5 wellbeing index (also in English and Gujarati versions).

Rapid Assessment of Physical Activity (RAPA)

The RAPA is a valid and user-friendly tool for assessing the physical activity levels of older adults. This nine-item questionnaire consists of yes or no questions regarding physical activity levels, ranging from sedentary to vigorous physical activity, as well as strength training and flexibility. It is commonly used in clinical practice to assess physical activity. The questionnaire instructions provide graphic and text depictions of light, moderate and vigorous physical activities. The total score from the first seven items ranges from 1 to 7 points, with the respondent’s score categorised into levels of physical activity: 1=sedentary, 2=underactive, 3=underactive with regular light activities, 4 and 5=underactive regularly and 6 and 7=active. Responses to the strength training and flexibility items are scored separately, with none=0, strength training=1, flexibility=2, or both=3. Healthcare practitioners are encouraged to briefly discuss physical activity with their patients. The RAPA accurately distinguishes between older adults who engage in regular moderate physical activity and those who do not [12].

The Gujarati version of RAPA is available, and this translation and cross-cultural adaptation was completed in 2022. The Gujarati RAPA reported good face and content validity and test-retest reliability, with a weighted kappa (for RAPA1: 0.82 and RAPA2: 0.73), which is considered very good [13].

WHO-5 Wellbeing Index

The WHO-5 wellbeing index is a self-reported measure of subjective psychological wellbeing status [14]. The WHO-5 wellbeing Index was first developed in 1998 by the WHO Regional Office in Europe as part of a project on measuring wellbeing in patients receiving basic healthcare. The WHO-5 is a quick questionnaire consisting of five simple questions that represent the subjective wellbeing of the respondents. The scale has adequate internal and external validity in screening for depression among older individuals [15,16]. Thus, it serves as an essential tool for addressing mental health issues in busy healthcare settings.

The Gujarati version of the WHO-5 wellbeing index is available, and the reliability and validity of this scale in the Gujarati version were assessed in 2022. This version of the scale reported good face and content validity and excellent test-retest reliability (ICC=0.89) [17].

Statistical Analysis

The data were analysed using the Statistical Package for Social Sciences (SPSS) software, version 26.0. Descriptive statistics such as frequency, percentage, mean and Standard Deviation (SD) were used for summarisation. Spearman’s correlation coefficient was employed to determine the correlation between the level of physical activity and wellbeing status in community-dwelling older individuals. The level of significance was set at a p-value <0.05. The Spearman correlation coefficient ranges from -1 to +1; a positive value indicates a positive correlation, while a negative value indicates a negative correlation. The interpretation for the correlation coefficient is as follows: 0.00-0.10=negligible correlation, 0.10-0.39=weak correlation, 0.40-0.69=moderate correlation, 0.70-0.89=strong correlation, and 0.90-1.00=very strong correlation.

Results

The age of participants ranged from 60 to 80 years, with a mean age of 70.11±3.98 years. Gender distribution is shown in [Table/Fig-1]. The mean RAPA score and the mean WHO-5 wellbeing index score of participants is shown in [Table/Fig-2]. Level of physical activity of RAPA is shown in [Table/Fig-3].

Gender distribution.

Gendern (%)
Female46 (41.44)
Male65 (58.56)

Descriptive statistics of age, RAPA and WHO-5 wellbeing index.

VariableMean±SD
Age (years)70.11±3.98
RAPA2.42±1.14
WHO-5 wellbeing index13.99±3.39

Level of physical activity RAPA-1.

RAPA 1 Physical activity leveln (%)
Sedentary31 (27.9)
Under-active24 (21.6)
Under-active regular light activities40 (36)
Under-active regular10 (9)
Active6 (5.4)

To examine the correlation between the level of physical activity and wellbeing status, Spearman’s correlation coefficient was used. A very strong positive correlation was found between the level of physical activity and wellbeing status (r-value=0.922, p-value=0.001), which was statistically significant [Table/Fig-4,5].

Correlation between physical activity level and mental health.

VariablesWHO-5 (wellbeing index)
RAPA (Level of physical activity)Spearmen correlationr=0.922
Sig. (2-tailed)0.001
N111

Scatter plot diagram of physical activity levels (RAPA) and Mental health (WHO-5 wellbeing index).

Discussion

The analysis indicated a statistically significant, a very strong positive correlation between the level of physical activity and mental health, suggesting that a higher level of physical activity increases the wellbeing status of individuals. The results of this study align with findings by Mohd Faisal AF et al., which indicated that higher physical activity levels were associated with better mental health in Malaysian older adults [9]. Present study results were also consistent with systematic reviews showing that physical activity reduces mental health issues [18,19]. Physical activity has been shown to significantly reduce symptoms of anxiety and depression. A meta-analysis by Anderson E and Shivakumar G found that physical activity is associated with moderate reductions in depression [20]. The mechanism behind this effect involves the release of endorphins during physical activity, which act as mood enhancers [21]. Additionally, physical activity stimulates the production of neurotransmitters like serotonin and norepinephrine, which play crucial roles in mood regulation [22].

From a socio-psychological perspective, present study findings suggest that physical activity can reduce depression by promoting social contact and increasing self-esteem and self-efficacy. Recent research continues to support the positive correlation between physical activity levels and mental health conditions, including anxiety, depression, and stress, while also promoting overall psychological wellbeing [23]. The findings of the current study imply that physical activity is one of the modifiable risk factors that can improve mental health outcomes, which was consistent with an Indian study conducted by Kumar M et al., [24].

A meta-analysis of 49 prospective cohort studies, totaling 1,837,794 person-years, found that those engaging in vigorous physical activity were 17% less likely to develop depression than those with modest activity [25]. A similar investigation conducted in Brazil with 88,522 older individuals found that various types of physical activity decrease the likelihood of depression, which was consistent with the results found in present study [26]. The strength of present study lies in the use of a self-reported validated scale with excellent reliability among community-dwelling older adults in Gujarat, India. The results of these studies support including physical activity in everyday routines and health campaigns aimed at improving mental health.

Limitation(s)

Some limitations include the reliance on self-reported outcome measures and the limited number of samples included from Ahmedabad. To improve generalisability, further research is suggested with a larger sample size and objective outcome measures that involve direct observation of physical activity levels.

Conclusion(s)

Research findings advocate for the incorporation of physical activity into daily routines and public health strategies aimed at enhancing mental wellbeing. Clinicians may prescribe physical activity to older individuals to improve mental health outcomes. Physical activity interventions are safe, inexpensive and offer a wide range of health-related benefits.

Author Declaration:

    Financial or Other Competing Interests: None

    Was Ethics Committee Approval obtained for this study? Yes

    Was informed consent obtained from the subjects involved in the study? Yes

    For any images presented appropriate consent has been obtained from the subjects. NA

Plagiarism Checking Methods: [Jain H et al.]

    Plagiarism X-checker: Aug 09, 2024

    Manual Googling: Nov 19, 2024

    iThenticate Software: Nov 21, 2024 (16%)

ETYMOLOGY:

Author Origin

Emendations:

7

References

[1]World Health Organization Healthy ageing and functional ability [Internet] Available from: https://www.who.int/news-room/questions-and-answers/item/healthy-ageing-and-functional-ability  [Google Scholar]

[2]McAuley MT, Guimera AM, Hodgson D, McDonald N, Mooney KM, Morgan AE, Modelling the molecular mechanisms of aging Biosci Rep 2017 37(1):BSR2016017710.1042/BSR2016017728096317PMC5322748  [Google Scholar]  [CrossRef]  [PubMed]

[3]Noto S, Perspectives on aging and quality of life Healthcare (Basel) 2023 11(15):21-31.10.3390/healthcare1115213137570372  [Google Scholar]  [CrossRef]  [PubMed]

[4]Szychowska A, Drygas W, Physical activity as a determinant of successful aging: A narrative review article Aging Clin Exp Res 2022 34(6):1209-14.10.1007/s40520-021-02037-034873677PMC9151514  [Google Scholar]  [CrossRef]  [PubMed]

[5]Kadariya S, Gautam R, Aro AR, Physical activity, mental health, and wellbeing among older adults in South and Southeast Asia: A scoping review Biomed Res Int 2019 (1):01-11.10.1155/2019/675218231886239PMC6925721  [Google Scholar]  [CrossRef]  [PubMed]

[6]Manini TM, Pahor M, Physical activity and maintaining physical function in older adults Br J Sports Med 2009 43(1):28-31.10.1136/bjsm.2008.05373618927164PMC3104323  [Google Scholar]  [CrossRef]  [PubMed]

[7]Pengpid S, Peltzer K, Physical activity, health and well-being among a nationally representative population-based sample of middle-aged and older adults in India, 2017-2018 Heliyon 2021 7(12):e0863510.1016/j.heliyon.2021.e0863534988323PMC8695286  [Google Scholar]  [CrossRef]  [PubMed]

[8]Nayak S, Mohapatra MK, Panda B, Prevalence of and factors contributing to anxiety, depression and cognitive disorders among urban elderly in Odisha: A study through the health systems’ Lens Arch Gerontol Geriatr 2019 80:38-45.10.1016/j.archger.2018.09.00830336373  [Google Scholar]  [CrossRef]  [PubMed]

[9]Mohd Faisal AF, Azizan A, Azmi H, Sahrani S, Physical activity and its relationship with mental health and quality of life among community-dwelling older adults Malaysian J Med Health Sci 2023 19(18):15-21.10.47836/mjmhs19.s18.3  [Google Scholar]  [CrossRef]

[10]Boro B, Saikia N, Association of multimorbidity and physical activity among older adults in India: An analysis from the Longitudinal Ageing Survey of India (2017–2018) BMJ Open 2022 12(5):e05398910.1136/bmjopen-2021-05398935580974PMC9115039  [Google Scholar]  [CrossRef]  [PubMed]

[11]Mini-Cog. Scoring the mini cog [Internet]. Available from: https://mini-cog.com/scoring-the-mini-cog/  [Google Scholar]

[12]Topolski TD, LoGerfo J, Patrick DL, Williams B, Walwick J, Patrick MM, The Rapid Assessment of Physical Activity (RAPA) among older adults Prev Chronic Dis 2006 3(4):A119  [Google Scholar]

[13]Dharti S, Subhash K, Cross-cultural adaptation and psychometric properties of the gujarati version of rapid assessment of physical activity J Clin Diagn Res 2022 16(8):YC01--YC04.10.7860/JCDR/2022/58115.16761  [Google Scholar]  [CrossRef]

[14]Awata S, Bech P, Yoshida S, Hirai M, Suzuki S, Yamashita M, Reliability and validity of the Japanese version of the world health organization-five wellbeing index in the context of detecting depression in diabetic patients Psychiatry Clin Neurosci 2007 61(1):112-19.10.1111/j.1440-1819.2007.01619.x17239048  [Google Scholar]  [CrossRef]  [PubMed]

[15]Bonsignore M, Barkow K, Jessen F, Heun R, Validity of the five-item WHO Well-Being Index (WHO-5) in an elderly population Eur Arch Psychiatry Clin Neurosci 2001 251(2):27-31.10.1007/BF0303512311824831  [Google Scholar]  [CrossRef]  [PubMed]

[16]Allgaier AK, Kramer D, Saravo B, Mergl R, Fejtkova S, Hegerl U, Beside the Geriatric Depression Scale: The WHO-Five Well-being Index as a valid screening tool for depression in nursing homes Int J Geriatr Psychiatry 2013 28(11):1197-204.Epub 2013 Mar 610.1002/gps.394423463576  [Google Scholar]  [CrossRef]  [PubMed]

[17]Dalal V, Khatri S, Reliability and validity of Gujarati version of WHO-5 Well-being index in community-dwelling older individuals: A cross-sectional J Clin Diagn Res 2022 16(12):YC09-YC12.10.7860/JCDR/2022/60245.17292  [Google Scholar]  [CrossRef]

[18]Kandola A, Vancampfort D, Herring M, Rebar A, Hallgren M, Firth J, Moving to beat anxiety: Epidemiology and therapeutic issues with physical activity for anxiety Curr Psychiatry Rep 2018 20(1):01-09.10.1007/s11920-018-0923-x30043270PMC6061211  [Google Scholar]  [CrossRef]  [PubMed]

[19]Stubbs B, Vancampfort D, Rosenbaum S, Firth J, Cosco T, Veronese N, An examination of the anxiolytic effects of exercise for people with anxiety and stress-related disorders: A meta-analysis Psychiatry Res 2017 249:102-08.10.1016/j.psychres.2016.12.02028088704  [Google Scholar]  [CrossRef]  [PubMed]

[20]Anderson E, Shivakumar G, Effects of exercise and physical activity on anxiety Front Psychiatry 2013 27:01-04.10.3389/fpsyt.2013.0002723630504PMC3632802  [Google Scholar]  [CrossRef]  [PubMed]

[21]Craft LL, Perna FM, The benefits of exercise for the clinically depressed Prim Care Companion J Clin Psychiatry 2004 6(3):104-11.10.4088/pcc.v06n030115361924PMC474733  [Google Scholar]  [CrossRef]  [PubMed]

[22]Duman RS, Neurotrophic factors and regulation of mood: Role of exercise, diet and metabolism Neurobiol Aging 2005 26(1):88-93.10.1016/j.neurobiolaging.2005.08.01816226350  [Google Scholar]  [CrossRef]  [PubMed]

[23]Kandola A, Ashdown-Franks G, Hendrikse J, Sabiston CM, Stubbs B, Physical activity and depression: Towards understanding the antidepressant mechanisms of physical activity Neurosci Biobehav Rev 2019 107:525-39.10.1016/j.neubiorev.2019.09.04031586447  [Google Scholar]  [CrossRef]  [PubMed]

[24]Kumar M, Srivastava S, Muhammad TJ, Relationship between physical activity and cognitive functioning among older Indian adults Sci Rep 2022 12(1):01-13.10.1038/s41598-022-06725-335177736  [Google Scholar]  [CrossRef]  [PubMed]

[25]Matias TS, Lopes MV, da Costa BG, Silva KS, Schuch FB, Relationship between types of physical activity and depression among 88,522 adults J Affect Disord 2022 297:415-20.10.1016/j.jad.2021.10.05134715174  [Google Scholar]  [CrossRef]  [PubMed]

[26]Amesberger G, Finkenzeller T, Müller E, Würth S, Aging-related changes in the relationship between the physical self-concept and the physical fitness in elderly individuals Scand J Med Sci Sports 2019 29:26-34.10.1111/sms.1337730667568PMC6850752  [Google Scholar]  [CrossRef]  [PubMed]