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Research Article | Volume 15 Issue 10 (October, 2025) | Pages 399 - 404
Assessment of preferences and concerns of walker users concerning wearable adaptive assistive rehabilitation
 ,
 ,
 ,
1
Assistant professor, Department of Physiology, Autonomous State Medical College, Sultanpur, Uttar Pradesh
2
Professor, Department of Physiology, Radha Govind Institute of Medical Sciences, Meerut, Uttar Pradesh
3
Associate Professor, Department of Community Medicine, Pacific Medical College & Hospital, Bedla, Udaipur, Rajasthan
4
Associate Professor & Head, Department of Dentistry, Nandkumar Singh Chouhan, Government Medical College, Khandwa, Madhya Pradesh
Under a Creative Commons license
Open Access
Received
Sept. 15, 2025
Revised
Sept. 28, 2025
Accepted
Oct. 13, 2025
Published
Oct. 22, 2025
Abstract

Background: Assistive device uses in the subjects having mobility impairment has been widely and globally accepted with higher acceptability in developing nations as India. Wearable AART (Adaptive Assistive Rehabilitation Technologies) provide various innovative solutions to improve the quality of life and enhance motility in affected subjects. However, despite various associated benefits, these devices have various challenges concerning their long-term impact, accessibility, and usability. Aim: The present study was aimed to assess the preferences and concerns of walker users concerning wearable adaptive assistive rehabilitation. The study also assessed the involvement of the caregiver to offer improvement in support systems and device design.  Methods: The present study assessed 200 subjects that were using walkers or Adaptive Assistive Rehabilitation Technologies. In all the subjects, questionnaire was used to collect the data concerning their concerns, preferences, and approach of caregivers. The data gathered were statistically analyzed for results formulation. Results: The study results showed an 100% improvement reported by all 200 subjects concerning their quality of life after they started using the walkers. A significant association was seen for mobility support, physical discomfort, and walker usage with 77% (n=154) subjects requiring assistance for 0-2 years and 34% (n=68) users in the age range of <20 years Caregivers have a vital role in these subjects with main caregivers being children, parents, and spouses as reported in 12% (n=24), 36% (n=72), and 62% (n=124) study subjects respectively. Conclusion: The present study concludes that there is a need of improvement in public infrastructure, emotional support, training of caregivers, and customization of designs of the walker to ultimately promote the mobility and independence in walker using subjects.

Keywords
INTRODUCTION

Wearable AART (Adaptive Assistive Rehabilitation Technologies) provides an innovative solution for better quality of life in subjects with impairment associated with the mobility. It has been reported that nearly 14 million subjects from United Kingdom have mobility impairment with disability following 2018/2019 data with approximately 50% experiencing issues related with the mobility. Strokes and musculoskeletal disorders are the major causes of mobility associated disabilities, especially in elderly subjects.1

Despite of various advantages and benefits of mobility assistive devices, various challenges have been encountered with their use reporting that subjects using four-wheel walker have various difficulties in navigation of public transports and doors along with limited freehand mobility with the use of walking sticks. Also, walkers with no storage baskets limit users from taking along the vital and essential items. In few subjects, these devices can lead to hazardous walking behavior.2

Following the data by WHO (World Health Organization) in 2022, it has been reported that approximately one-third of the global population need Aps or assistive products and due to disease prevalence and ageing, it is expected to increase by 3.5 billion by 2050. Subjects with disabilities presents the most vulnerable population needing assistive technology.3

Previous literature studies have reported that subjects having disabilities can result in economic loss up to 7% of the GDP (Gross Domestic Product) which highlights the vital role of investment in assistive devices.4 Hence, the present study was aimed to assess the preferences and concerns of walker users concerning wearable adaptive assistive rehabilitation. The study also assessed the involvement of the caregiver to offer improvement in support systems and device design

MATERIALS AND METHODS

The present cross-sectional clinical study was aimed to assess the preferences and concerns of walker users concerning wearable adaptive assistive rehabilitation. The study also assessed the involvement of the caregiver to offer improvement in support systems and device design. Verbal and written informed consent were taken from all the subjects before study participation.

The study assessed 200 subjects that were using walkers for mobility related disabilities. The inclusion criteria for the study were subjects using walker for minimum three months, aged 20 years or more, and subjects from both the genders willing to participate in the study. The exclusion criteria for the study were subjects that did not sign the consent, subjects with neurological disorders affecting communication, and subjects aged <20 years.

All included participants were subjected to an interview which was a modified version of ADUEQ (Assistive Device User Experience Questionnaire). This standardized questionnaire has wide acceptability globally to assess, overall walker’s usability, physical discomfort, mobility constraints, and user satisfaction.

The structured questionnaire used to gather data in study subjects included three sections as sociodemographic and personal parameters having categorical questions to assess income level, employment, education, gender, and age of the subjects. Second section assessed walker-related experience as duration of using the walker, challenges faced, distance covered, and daily usage times. The third section assessed the walker usability and musculoskeletal symptoms including the functional dependence, comfort level, and physical strain which helped in overall impact and usability of the walker on well-being and mobility by the users.\

For anthropometric data, standard procedure was used to assess physical characteristics as weight in kg and height in cm using digital weighing scale and stadiometer respectively. BMI (body mass index) was then calculated and classified using WHO criteria as follows: underweight, normal, overweight, and obese subjects were assessed for BMI of < 18.5 kg/m², 18.5-22.9kg/m², ≥23 kg/m², and ≥30 kg/m².

The gathered data were statistically analyzed using the chi-square test, Fisher’s exact test, Mann Whitney U test, and SPSS (Statistical Package for the Social Sciences) software version 24.0 (IBM Corp., Armonk. NY, USA) using ANOVA, chi-square test, and student's t-test. The significance level was considered at a p-value of <0.05.

RESULT

The present cross-sectional clinical study was aimed to assess the preferences and concerns of walker users concerning wearable adaptive assistive rehabilitation. The study also assessed the involvement of the caregiver to offer improvement in support systems and device design. The present study assessed 200 subjects that were using walkers or Adaptive Assistive Rehabilitation Technologies. In all the subjects, questionnaire was used to collect the data concerning their concerns, preferences, and approach of caregivers. There were 79% (n=158) male and 21% (n=42) females in the study. Majority of subjects were 20 years old and aged >40 years. Majority of the subjects had weight of >60 years with 52% (n=104) subjects. Most of the subjects were graduate, married and intermediate. Majority of subjects were professional with 55% (n=110) subjects with 43% (n=86) subjects being employed. Majority of subjects had income of 40,000-50,000 monthly (Table 1).

 

S. No

Characteristics

Number (n)

Percentage (%)

1.       

Gender

 

 

a)       

Males

158

79

b)      

Females

42

21

2.       

Age range (years)

 

 

a)       

20

68

34

b)      

20-40

58

29

c)       

40-60

42

21

d)      

>60

32

16

3.       

Weight (kg)

 

 

a)       

<40

0

0

b)      

40-50

18

9

c)       

50-60

78

39

d)      

>60

104

52

4.       

Height (cm)

 

 

a)       

<140

0

0

b)      

141-150

42

21

c)       

151-160

92

46

d)      

>160

66

33

5.       

Education

 

 

a)       

Illiterate

24

12

b)      

High school

32

16

c)       

Intermediate

52

26

d)      

Diploma

28

14

e)       

Graduation

38

19

f)        

Postgraduation

26

13

6.       

Marital status

 

 

a)       

Married

118

59

b)      

Unmarried

60

30

c)       

Widow/separated

22

11

7.       

Occupation

 

 

a)       

Salaried

32

16

b)      

Business

28

14

c)       

Professional

110

55

d)      

None

30

15

8.       

Employment

 

 

a)       

Homemaker

74

37

b)      

Retired

18

9

c)       

Employed

86

43

d)      

Unemployed

22

11

9.       

Monthly income

 

 

a)       

10,000-20,000

30

15

b)      

20,000-30,000

28

14

c)       

30,000-40,000

32

16

d)      

40,000-50,000

98

49

e)       

>50,000

12

6

Table 1: Sociodemographic data in study subjects

 

The study results showed that for factors affecting walker use in study subjects, most common reason for using walker was temporary after surgery/fracture, most of subjects were disabled for 0-2 years with 77% (n=154) subjects, was used for 0-3 hours by 41% (n=82) subjects, and majority subjects covered distance of 100-500 m in a day as reported by 52% (n=104) subjects. Most common effect of long-term walker use was mobility detention reported by 75% (n=150) subjects, most common difficulty on not using walker was dependence reported by 65% (n=130) subjects. Most common reason for walker prescription was Rehabilitation following hospitalization/stroke as reported by 64% (n=128) subjects. Most commonly used walker was standard followed by folding. Most comfortable material was aluminium as reported by 49% (n=98) subjects followed by cast iron used by 40% (n=80) subjects. Factors that governed walker choice were easy transport and storage followed by independent activity performance, weight, no strain to wrist, durable body, sweat resistant grip, and adjustable height. Problems encountered on not using walker were slow and tiring to pick and settle and problems in learning balance reported by 100% (n=200) subjects and inability to carry things reported by 65% (n=130) subjects (Table 2).

 

S. No

Parameter

Number (n)

Percentage (%)

1.       

Reason for using walker

 

 

a)       

Temporary (fracture/surgery)

86

43

b)      

Gradual functional decreased

48

24

c)       

Disability

66

33

2.       

Time since disability (years)

 

 

a)       

0-2

154

77

b)      

2-4

46

23

3.       

Usage duration (in a day)

 

 

a)       

0-3

82

41

b)      

3-6

64

32

c)       

6-9

54

27

4.       

Distance covered in a day (m)

 

 

a)       

0-100

64

32

b)      

100-500

104

52

c)       

500-1000

32

16

5.       

Effects of long-term use

 

 

a)       

Lack of desire for walking

92

46

b)      

Detention of mobility

150

75

c)       

Shoulder pain

138

69

6.       

Difficulties on not using

 

 

a)       

Dependence

130

65

b)      

Inability to move

64

32

c)       

Inability in community participation

118

59

d)      

Tendency for fall

124

62

7.       

Walker prescription reason

 

 

a)       

Injuries to thigh/leg

72

36

b)      

Rehabilitation following hospitalization/stroke

128

64

8.       

Walker type

 

 

a)       

Folding walker

40

20

b)      

Standard

160

80

9.       

Material type felt comfortable

 

 

a)       

Cast iron

80

40

b)      

Aluminium alloy

22

11

c)       

Aluminium

98

49

10.    

Factors affecting choice of walker

 

 

a)       

Easy transport and storage

194

97

b)      

Independent activity performance

162

81

c)       

Weight

144

72

d)      

No wrist strain

138

69

e)       

Durable walker body

130

65

f)        

Sweat resistant grip

78

39

g)       

Adjustable height

82

41

11.    

Problems encountered

 

 

a)       

Inability to carry things

130

65

b)      

Slow and tiring to pick and settle

200

100

c)       

Problems in learning balance

200

100

Table 2: Factors affecting walker use in study subjects

 

It was seen that for experience for walker use at different places, confidence to use assistive ambulatory devices at various locations, 69% (n=138) subjects reported that their friends and family accept in same way, 100% (n=200) reported that they experience a better quality of life and feel that their life is normal, 46% (n=92) subjects reported risk of injuring oneself, and 32% (n=64) subjects reported no difficulty in acceptance of using the device. Concerning the experience of dependence on assistive devices, all 100% (n=200) subjects reported they are dependent for going to living area and bedroom. 68% (n=136) reported needing assisting devices outside the building, and 23% (n=46) reported needing them for shopping complexes (Table 3). For association in difficulties used faced with walker use and reason for using the device, significant results were highest for tendency to fall followed by unable to participate in community, dependence for work, unable to walk around and participate in community with p=0.0001 (Table 4).

 

S. No

Parameter

Number (n)

Percentage (%)

1.       

Confidence to use assistive ambulatory devices at various locations

 

 

a)       

Experience any lack of access to public places

24

12

b)      

Friends and family accept in same way

138

69

c)       

Any difficulty in acceptance for using device

64

32

d)      

Risk of injuring oneself

92

46

e)       

Feel that your life is normal

200

100

f)        

Experience better quality of life

200

100

2.       

Experience of dependence on assistive device

 

 

a)       

Shopping complexes

46

23

b)      

Outside the building

136

68

c)       

Living area

200

100

d)      

Bedroom

200

100

Table 3: Experience for walker use at different places

 

S. No

Reason

Mean ± S. D

p-value

1.       

Unable to participate in community

2.13±0.08

0.0001

2.       

Tendency to fall

2.67±0.23

3.       

Dependence for work

2.07±0.07

4.       

Unable to walk around

2.10±0.14

5.       

Unable to participate in community

2.46±0.12

6.       

Tendency to fall

2.34±0.17

Table 4: Association in difficulties used faced with walker use and reason for using the device

 

It was also seen that on assessing the significant factors influencing the selection of the walker, most significant factors were ease of use, durability, safety, effectiveness, weight, and dimension as reported by 31% (n=62) subjects followed by comfort reported by 25% (n=50) subjects, and adjustments as reported by 10% (n=10) subjects respectively (Table 5). Concerning the relationship of satisfaction level and usage of assistive device in study subjects, a significant relationship was seen for BMI, material type, walker type, distance able to walk each day, usage duration in a day, and time period of disability with p=0.005, 0.004, 0.000, 0.003, 0.006, and 0.000 respectively (Table 6)

 

S. No

Variables

Number (n)

Percentage (%)

1.       

Easy to use

62

31

2.       

Durability

62

31

3.       

Safety

62

31

4.       

Adjustments

10

10

5.       

Effectiveness

62

31

6.       

Weight

62

31

7.       

Comfort

50

25

8.       

Dimensions

62

31

Table 5: Significant factors in choosing the walkers

 

S. No

Parameters

r- value

T value

p-value

1.       

BMI

0.843

3.984

0.005

2.       

Material type

4.196

0.004

3.       

Walker type

4.630

0.000

4.       

Distance able to walk each day

4.123

0.003

5.       

Usage duration in a day

3.967

0.006

6.       

Time period of disability

4.650

0.000

Table 6: Relationship of satisfaction level and usage of assistive device in study subjects

DISCUSSION

The present study assessed 200 subjects that were using walkers or Adaptive Assistive Rehabilitation Technologies. In all the subjects, questionnaire was used to collect the data concerning their concerns, preferences, and approach of caregivers. There were 79% (n=158) male and 21% (n=42) females in the study. Majority of subjects were 20 years old and aged >40 years. Majority of the subjects had weight of >60 years with 52% (n=104) subjects. Most of the subjects were graduate, married and intermediate. Majority of subjects were professional with 55% (n=110) subjects with 43% (n=86) subjects being employed. Majority of subjects had income of 40,000-50,000 monthly. These data were comparable with the previous studies of Thies SB et al5 in 2018 and Ramadass S et al6 in 2020 where authors assessed subjects with demographic data comparable to the present study in their respective studies.

It was seen that for factors affecting walker use in study subjects, most common reason for using walker was temporary after surgery/fracture, most of subjects were disabled for 0-2 years with 77% (n=154) subjects, was used for 0-3 hours by 41% (n=82) subjects, and majority subjects covered distance of 100-500 m in a day as reported by 52% (n=104) subjects. Most common effect of long-term walker use was mobility detention reported by 75% (n=150) subjects, most common difficulty on not using walker was dependence reported by 65% (n=130) subjects. Most common reason for walker prescription was Rehabilitation following hospitalization/stroke as reported by 64% (n=128) subjects. Most commonly used walker was standard followed by folding. Most comfortable material was aluminium as reported by 49% (n=98) subjects followed by cast iron used by 40% (n=80) subjects. Factors that governed walker choice were easy transport and storage followed by independent activity performance, weight, no strain to wrist, durable body, sweat resistant grip, and adjustable height. Problems encountered on not using walker were slow and tiring to pick and settle and problems in learning balance reported by 100% (n=200) subjects and inability to carry things reported by 65% (n=130) subjects. These results were consistent with the findings of Graafmans WC et al7 in 2003 and Van der Esch M8 in 2003 where results for affecting walker use in study subjects reported by authors was comparable to the results of the present study.

The study results showed that for experience for walker use at different places, confidence to use assistive ambulatory devices at various locations, 69% (n=138) subjects reported that their friends and family accept in same way, 100% (n=200) reported that they experience a better quality of life and feel that their life is normal, 46% (n=92) subjects reported risk of injuring oneself, and 32% (n=64) subjects reported no difficulty in acceptance of using the device. Concerning the experience of dependence on assistive devices, all 100% (n=200) subjects reported they are dependent for going to living area and bedroom. 68% (n=136) reported needing assisting devices outside the building, and 23% (n=46) reported needing them for shopping complexes. For association in difficulties faced with walker use and reason for using the device, significant results were highest for tendency to fall followed by unable to participate in community, dependence for work, unable to walk around and participate in community with p=0.0001. These findings were in agreement with the results of Thomas S et al9 in 2010 and Bateni H et al10 in 2007 where results for experience for walker use at different places and association in difficulties faced with walker use and reason for using the device comparable to the present study was also reported by the authors in their studies.

On assessing the significant factors influencing the selection of the walker, most significant factors were ease of use, durability, safety, effectiveness, weight, and dimension as reported by 31% (n=62) subjects followed by comfort reported by 25% (n=50) subjects, and adjustments as reported by 10% (n=10) subjects respectively (Table 5). Concerning the relationship of satisfaction level and usage of assistive device in study subjects, a significant relationship was seen for BMI, material type, walker type, distance able to walk each day, usage duration in a day, and time period of disability with p=0.005, 0.004, 0.000, 0.003, 0.006, and 0.000 respectively. These results were in line with the findings of Melzed D et al11 in 2004 and Viegas V et al12 in 2018 where most significant factors affecting walker selection reported by authors were ease of use, durability, safety, effectiveness, weight, and dimension which was similar to the results of the present study.

CONCLUSION

Considering its limitations, the present study concludes that there is a need of improvement in public infrastructure, emotional support, training of caregivers, and customization of designs of the walker to ultimately promote the mobility and independence in walker using subjects.

REFERENCES
  1. Norlyk A, Martinsen B, Hall E, et al. Being in-between: the lived experience of becoming a prosthesis user following the loss of a leg. SAGE Open. 2016;6:215824401667137.
  2. Department for Work and Pensions. Family Resources Survey: financial year 2018/2019. Office for National Statistics, 2020.
  3. Public Health England. Chapter 3: trends in morbidity and risk factors. Health profile for England: 2018.
  4. Assistive technology - World Health Organization (WHO)
  5. Thies SB, Bates A, Costamagna E, et al. Are older people putting themselves at risk when using their walking frames? BMC Geriatrics. 2020;20:1-11.
  6. Ramadass S, Rai SK, Gupta SK, Kant S, Wadhwa S, Sood M, Sreenivas V. Prevalence of disability and its association with sociodemographic factors and quality of life in a rural adult population of northern India. National Medical Journal of India, 2018;31:268-273.
  7. Graafmans WC, Lips P, Wyheuzen GJ, et al. Daily physical activity and the use of a walking aid in relation to falls in elderly people in a residential care setting. Z Gerontol Geriat. 2003;36:23–8.
  8. Van der Esch M, Heijmans M, Dekker J. Factors contributing to possession and use of walking aids among persons with rheumatoid arthritis and osteoarthritis. Arthritis Care Res. 2003;49:838–842
  9. Thomas S, Halbert J, Mackintosh S, et al. Walking aid use after discharge following hip fracture is rarely reviewed and often inappropriate: An observational study. J Physiother. 2010;56:267–272. 
  10. Bateni H, Heung E, Zettel J, et al. Can use of walkers or canes impede lateral compensatory stepping movements? Gait Posture. 2004;20:74–83
  11. Melzer D, Lan TY, Tom BD, Deeg DJ, Guralnik JM. Variation in thresholds for reporting mobility disability between national population subgroups and studies. J Gerontol A Biol Sci Med Sci. 2004;59:1295–303.
  12. Viegas V, Dias Pereira, J.; Postolache, O.; Girão, P.S. Monitoring walker assistive devices: A novel approach based on load cells and optical distance measurements. Sensors. 2018;18:540.
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