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Nigerian Medical Journal : Journal of the Nigeria Medical Association logoLink to Nigerian Medical Journal : Journal of the Nigeria Medical Association
. 2026 Mar 2;67(2):547–559.

Psychosocial Adaptation, Disability, and Resilience among Individuals with Amputations in an Indian setting

Lishma Shann Mathew 1,*, Anandha Ruby Jacob 1, Sheeba Rani P 1, Grace Rebekah 2, Judy Ann John 3
PMCID: PMC13473921  PMID: 42602433

Abstract

Background:

Traumatic amputations significantly affect physical function, coping, and self-esteem, highlighting the need for comprehensive rehabilitation and holistic nursing care. The study aims to assess the functional disability, coping strategies, and self-esteem of patients with upper or lower limb amputation.

Methodology:

Overall, 250 subjects were recruited from various departments and their services for this cross-sectional correlational study. Data was collected using standardized tools such as the WHODAS 2.0 – 36 Item questionnaire (α=0.98), Coping Inventory for Stressful Situations–SF21 (α=0.81), and Rosenberg’s Self-esteem scale (α=0.88) by using a researcher-administered method. Descriptive and Inferential statistics were used for analysis.

Results:

The findings revealed that 240 (96%) had a severe functional disability, 140 (56%) had a medium level of coping, and 200 (80%) had average self-esteem. Severe functional difficulty 180 (72%) was seen in participation. The majority had a medium level of avoidance coping 140 (56%). Correlation analysis showed a moderate negative association between functional disability and coping strategies (r = −0.514, p < 0.001), a weak negative association between functional disability and self-esteem (r = −0.140, p = 0.027), and a weak-to-moderate negative association between coping strategies and self-esteem (r = −0.280, p < 0.001). These findings indicate statistically significant associations among functional disability, coping strategies, and self-esteem.

Conclusion:

The study reveals a deeper connection between functional disability, coping strategies, and self-esteem among amputated patients, pressing the critical need for targeted nursing assessments and strategic interventions.

Keywords: Amputation, Functional disability, self-esteem, coping strategies, Nursing care

Introduction

According to the World Health Organization (WHO), musculoskeletal conditions such as amputation pose a major global health burden, leading to long-term limitations in mobility, daily functioning, and rehabilitation needs(1). Despite advancements in medical care, a striking 94% of amputees still view amputation as an unacceptable reality. This widespread perception stems from several factors, including poor self-esteem, ineffective coping strategies, inadequate social support, financial hardship, and stigma (2).

The Amputee Coalition of America recognizes limb loss as a widespread condition with significant implications for long-term rehabilitation and psychosocial well-being (3). In India, however, there is a lack of comprehensive, specific, and up-to-date data regarding the prevalence of amputations. Findings from the National Sample Survey Organization (NSSO) underscore the ongoing burden of locomotor impairments in India, highlighting the need for sustained rehabilitation and supportive care services (5, 6).

Amputation profoundly affects daily living activities, social roles, and responsibilities, often leading to increased dependency and feelings of powerlessness (6). However, maintaining the ability to perform basic tasks such as eating, bathing, and moving around independently can contribute to a secure and fulfilling quality of life. (7) On the other hand, poor coping mechanisms and low self-esteem following amputation can lead to mental health challenges, including anxiety, depression, and post-traumatic stress disorder (8).

Despite recognition of these multifaceted challenges globally, research from India remains sparse, with limited empirical studies addressing psychosocial outcomes, coping mechanisms, or the role of structured nursing interventions in rehabilitation; existing Indian literature predominantly consists of heterogeneous observational reports that document psychological distress in amputees but do not systematically investigate tailored psychosocial nursing support models or longitudinal rehabilitation outcomes, indicating a significant gap in rehabilitation-focused nursing research that integrates psychosocial assessment, mental health support, and evidence-based psychosocial interventions into post-amputation care(9).

Nurses are typically the first to recognize a decline in functionality during follow-up hospital visits (10). The key challenge lies in understanding the factors that influence functional disability and in implementing effective coping strategies that can enhance amputees' self-esteem, thereby improving their overall quality of life.

Despite the high number of cases, research in this area remains limited, with only two studies conducted, focusing on the role of nurses in the care of amputees. With this in mind, our study aimed to evaluate the functional disability, coping strategies, and self-esteem of patients with upper or lower limb amputation, ultimately contributing to enhanced care and support for this underserved population.

Conceptual Framework

This Conceptual framework is based on the International Classification of Functioning, Disability and Health (ICF) model developed by the WHO in 2001 and modified by McDougall, J et al in the year 2010, incorporating quality of life into it (11). This model links data for patients undergoing amputation after a long term, aiming to more effectively and transparently reveal information as a “Gold standard” in health care (12). (Figure.1)

Figure 1:

Figure 1:

Conceptual Framework of the study

Objectives

The aim of this study is to assess the functional disability and its impact, coping strategies, and self-esteem among patients with upper or lower limb amputation, and to evaluate the correlation and association between the functional disability, coping strategies, and self-esteem of patients with upper or lower limb amputation

Methodology:

Study Design: A cross-sectional correlational study was conducted among 250 patients with upper or lower limb amputation recruited from a tertiary care hospital in South India.

Operational Definitions

Functional Disability:

Denotes the limitations in performing daily activities by an individual after 6 months of amputation as measured by the WHO Disability Assessment Schedule 2.0 36-Item Questionnaire, using the researcher administration method (13).

Coping Strategy:

Denotes the methods of thought or action utilized to manage everyday life following 6 months of amputation, as measured by the Coping Inventory for Stressful Situations -SF 21 using the researcher administration method (14).

Self-Esteem:

Denotes the personal feelings of worth and how a person views themselves after 6 months of amputation as measured by Rosenberg’s Self-Esteem Scale, using the researcher administration method (Rosenberg, 2022).

Patients with Upper or Lower Limb Amputation:

Denotes a person who has undergone one or both of their upper or lower limb amputation, which includes shoulder, wrist, hip, and knee disarticulation; forequarter, above the elbow, below the elbow, above the knee, below the knee, and foot amputation (16).

Sample Size & Calculation

According to the referenced study, the average (standard deviation) of the WHODAS 2.0 Score was 38.22 (8.02). The sample size was determined based on the given estimate of standard deviation, with a desired precision of 1 and a 95% confidence interval. The study sample size was 247 (17).

Inclusion Criteria

Participants who are:

  • Patients who have undergone upper or lower limb amputation (Shoulder, wrist, hip, and knee disarticulation; forequarter, trans-humeral, trans-radial, transtibial, transfemoral, and foot amputations) after 6 months of amputation.

  • Patients who are conscious and provide written consent to participate in the study

  • Individuals above the age of 18 years

Exclusion Criteria

  • Participants other than upper or lower limb amputation (finger/toe)

  • Participants with cognitive impairment

  • Subjects becoming sick during the study

Data Collection Tools

  1. WHODAS 2.0 36-Item Questionnaire: measures functional disability and includes items focusing on six domains: Cognition, Mobility, Self-care, Getting along with people, Life activities, and Participation (13).

    The WHODAS 2.0 (36-item) questionnaire was scored using the simple scoring method as recommended by the WHO manual. Each item was rated on a 5-point Likert scale (1 = none to 5 = extreme/cannot do), with higher scores indicating greater disability. Total scores were converted into percentage scores and categorized as moderate disability (25–49%) and severe disability (≥50%), consistent with prior published literature.

  2. Coping inventory for stressful situations (CISS SF-21): a twenty-one-item scale focusing on how an individual tries to cope with a stressful situation (14).

  3. Rosenberg’s Self-Esteem Scale includes 10 items focusing on the subjective negative and positive feelings (15).

Demographic variable

The Demographic factors encompass age, gender, marital status, religion, education, occupation, family monthly income, type of family, housing, and substance use habits.

Clinical variable

The Clinical Variables include causes, level, and duration of amputation, laterality, body mass Index, Range of motion, and use of ambulatory aid, prosthesis, stump, and phantom limb pain.

Ethical Consideration

This study was conducted in accordance with the ethical principles that have been outlined in the Declaration of Helsinki in line with Good Clinical Practice (GCP) guidelines, and compliant with the applicable regulatory requirements. Ethical approval for the study was obtained from the Institutional Ethics Committee of Christian Medical College, Vellore (Approval No: 56/03/2023; Date: 07/07/2023). Written informed consent was obtained from all participants enrolled in the study.

Data Collection Procedure

The study was conducted at the Amputation Clinic, PMR-OPD, and Community outreach clinic within a 100-kilometer radius of a tertiary hospital in South India. Patients who met the inclusion and exclusion criteria were selected through a convenience sampling method from the medical records office, based on their registered serial numbers. Informed consent was obtained from the patients after introducing the study to them and their family members. The investigator collected demographic and clinical data through interviews. The researcher administered the questionnaires, including the WHODAS, CISS SF-21, and Rosenberg’s Self-esteem scale, in the patient’s preferred language using a researcher-led administration method. All collected data were kept confidential with password protection, and the anonymity of the subjects was maintained. A pilot study was conducted to assess its feasibility.

Data Analysis

Data were entered using MS Excel. Descriptive statistics were employed to report demographic and clinical characteristics of the participants. Inferential statistics were analyzed using the chi-square test for cells with counts greater than 5, while Fisher’s exact test was applied for cells with counts less than 5. Pearson’s correlation coefficient was used to analyze the relationship between continuous variables. A p-value of less than 0.05 was considered statistically significant. All statistical analyses were performed using SPSS version 21.

Results

A total of 250 participants were enrolled in the study. Most participants were aged 41–60 years (40%, n = 100), and 68.4% (n = 171) were male. Regarding occupation, 37.6% (n = 94) were unskilled workers. A family monthly income of ₹5,000–₹10,000 was reported by 43.6% (n = 109) of participants. The majority belonged to nuclear families (94%, n = 235), lived in basic housing conditions (66%, n = 165), and were from urban areas (78.4%, n = 196). Substance use was reported by 43.2% (n = 102) of participants.

The most common cause of amputation was road traffic accidents (39.6%, n = 99). Nearly half of the participants (47.2%, n = 118) had undergone amputation 6 months to 1 year prior to the study, and 97.2% (n = 243) had unilateral amputations. Pressure over the stump was reported by 36% (n = 90), and 77.2% (n = 193) reported phantom limb pain.

Functional Disability

Based on WHODAS 2.0 scores, 96% (n = 240) of participants were categorized as having severe functional disability, while 4% (n = 10) had moderate functional disability (Figure 2). Domain-wise analysis showed that participants reported moderate difficulty in cognition (72%, n = 180) and severe difficulty in mobility (60%, n = 150), self-care (65.2%, n = 163), getting along with people (49%, n = 122), and participation (80%, n = 200). Extreme difficulty was reported in household activities (52%, n = 130) and work activities (72%, n = 180) (Figure 5).

graphic file with name nmj-67-02-547-f2.jpg

Figure 4.

Figure 4

Distribution of subjects based on their level of self-esteem (n=250)

Coping Strategies

Regarding overall coping strategies, 56% (n = 140) of participants demonstrated medium-level coping, while 44% (n = 110) demonstrated high-level coping (Figure 3).

Figure.2.

Figure.2

Distribution of subjects based on their level of functional disability among upper or lower limb amputation (n=250)

In subscale analysis, task-oriented coping was reported at medium and high levels by 40% (n = 100) and 56% (n = 140) of participants, respectively. Emotion-oriented coping was reported at a medium level by 48% (n = 120) and at a high level by 36% (n = 90). Avoidance coping was predominantly at a medium level (56%, n = 140), followed by high (40%, n = 100) and low levels (4%, n = 10) (Figure 6).

Figure.5.

Figure.5

Distribution of Functional Disability Across WHODAS 2.0 Domains Among Patients with Upper or Lower Limb Amputation (n = 250). This figure illustrates the distribution of difficulty levels (no, mild, moderate, severe, and extreme) across WHODAS 2.0 domains, including cognition, mobility, self-care, getting along with people, household activities, work activities, and participation among patients with upper or lower limb amputation.

Self-Esteem

Most participants (80%, n = 200) reported average self-esteem, while 12% (n = 30) reported good self-esteem, and 8% (n = 20) reported poor self-esteem (Figure 4).

Figure.3.

Figure.3

Analysis of subjects based on each aspect of coping strategies (n=250)

Correlation Analysis

Pearson’s correlation analysis demonstrated a statistically significant negative correlation between functional disability and coping strategies (r = −0.514, p < 0.001). A weak but statistically significant negative correlation was observed between functional disability and self-esteem (r = −0.140, p = 0.027). A statistically significant negative correlation was also observed between coping strategies and self-esteem (r = −0.280, p < 0.001) (Table 1).

Table 1.

Correlation between functional disability and coping strategies, Self-esteem; the relationship between Coping strategies and self-esteem(n=250)

R P
Functional Disability and Coping Strategies -0.514 ** <0.001
Functional Disability and Self-Esteem -0.140 * 0.027
Coping Strategies and Self-Esteem -0.280 ** <0.001

Association Analysis

A statistically significant association was found between functional disability and type of family (p < 0.05). No significant associations were observed between functional disability and clinical variables (p > 0.05). Moreover, a statistically significant association was observed between coping strategies and substance use habits (p < 0.05), while no significant association was found between coping strategies and clinical variables (p > 0.05). In addition, self-esteem showed statistically significant associations with occupation and family monthly income (p < 0.05). No significant associations were observed between self-esteem and clinical variables (p > 0.05).

Discussion

Participants were categorized into standard age groups for analysis, with most individuals classified as adults aged 19–59 years, and a smaller proportion as senior adults. A higher proportion of males had undergone amputation compared to females, a pattern consistent with previous studies reporting greater amputation prevalence among older age groups and males. The majority of participants were married, highlighting the relevance of spousal involvement during recovery, as supported by earlier research (18). These demographic patterns align with existing Indian and international literature on amputation profiles (18–20).

Regarding socio-economic characteristics, a substantial proportion of participants had low educational attainment and were engaged in unskilled occupations. Most belonged to nuclear families and lived in basic housing conditions. Compared with studies from high-income countries, differences were observed in housing accessibility and place of residence, with a higher proportion of participants originating from rural areas (21). Alcohol consumption emerged as the most common substance use habit, followed by tobacco-related practices, consistent with findings from previous multi-center studies (22,23). These characteristics collectively reflect the socio-economic context of the study population and are comparable with trends reported in similar settings.

Road traffic accidents emerged as the most common cause of amputation in the present study, followed by diabetes mellitus, while tumors, sepsis, and crush injuries were less frequent, and congenital conditions and Hansen’s disease were rare. This pattern differs from several retrospective studies in which diabetes-related vascular causes predominated, reflecting differences in study settings and population characteristics (24). Transtibial and transfemoral amputations were the most common levels observed, consistent with previous cross-sectional studies (25). Nearly half of the participants had undergone amputation within the previous year, indicating a cohort largely in the early phase of rehabilitation. The predominance of unilateral amputations aligns with earlier quality-of-life studies (26). Variations in body mass index distribution compared with previous reports may reflect heterogeneity in clinical profiles and population characteristics across settings (23).

With respect to rehabilitation-related characteristics, crutches were the most frequently used mobility aid, although a substantial proportion of participants did not use any assistive device. This pattern is comparable with earlier studies reporting high reliance on crutches among amputees (27). Stump-related complications such as pressure, redness, and ulcers were reported by a subset of participants, and phantom limb pain was prevalent in the majority. The higher prevalence of phantom limb pain compared with some international studies is consistent with literature suggesting a greater symptom burden in resource-limited healthcare settings (28,29). Collectively, these findings reflect the rehabilitation challenges commonly encountered among amputees in similar clinical contexts.

Functional assessment revealed that most participants experienced severe difficulty in performing daily activities, with fewer individuals reporting moderate difficulty. This distribution differs from some international studies that have reported a wider range of functional limitations among amputees (30). Domain-specific analysis demonstrated moderate-to-severe difficulty across cognition, mobility, and self-care domains, with mobility-related limitations particularly prominent. These findings are consistent with previous studies indicating restricted functional mobility following lower-limb amputation and its association with clinical and prosthesis-related factors (31).

Social functioning and participation were also substantially affected. Many participants reported moderate-to-severe difficulty in social interactions, household responsibilities, and work-related roles. Extreme difficulty was frequently reported in household and work activities, while participation restrictions were predominantly severe. These findings align with earlier research documenting significant limitations in social engagement, domestic activities, and community participation among individuals with amputation, underscoring the broad functional impact of limb loss across multiple life domains (32).

In terms of psychosocial adaptation, avoidance coping at a medium level was most commonly reported, followed by high-level avoidance coping, a pattern consistent with findings reported by Kakooza et al. (33). Task-oriented coping was predominantly reported at high and medium levels, while emotion-oriented coping was largely reported at medium and high levels. These patterns are comparable to previous studies describing diverse coping responses among amputees following limb loss (33). Self-esteem assessment indicated that most participants had average self-esteem, with smaller proportions reporting good or poor self-esteem. Similar distributions have been reported in previous studies, although variations exist across cultural and clinical contexts (34,35).

Correlation analysis demonstrated a moderate negative association between functional disability and coping strategies and a weak but statistically significant negative association between functional disability and self-esteem, suggesting that higher disability levels are associated with lower coping capacity and self-esteem. A statistically significant negative association was also observed between coping strategies and self-esteem, highlighting the complex interplay between functional limitations, coping patterns, and psychological adjustment. These findings are consistent with earlier studies reporting reduced psychological well-being and life satisfaction among amputees, with acceptance and active coping identified as commonly used strategies (35–37).

Finally, significant associations were observed between family type and functional disability, with individuals from nuclear families more frequently classified as having severe disability, consistent with previous reports linking family structure to functional outcomes (38). Substance use habits were significantly associated with coping strategies, and emotion-oriented coping showed a significant association with family type, findings supported by earlier research highlighting the influence of family support and substance use on coping among amputees (39,40). Socio-economic factors, including occupation and family income, were significantly associated with self-esteem, emphasizing their role in psychological adjustment following amputation. Additionally, a significant association was observed between the type of amputation and social difficulties, with unilateral amputees reporting greater challenges than bilateral amputees, consistent with literature suggesting that functional demands and social adjustment vary according to amputation characteristics (32,41).

Implications

The findings emphasize the need for nursing-led functional assessment, psychosocial screening, and individualized rehabilitation planning for amputees. Integrating coping strategy evaluation and self-esteem support into routine nursing care may improve rehabilitation outcomes.

Limitations

This study employed convenience sampling, which may introduce selection bias and limit generalizability. As participants were recruited from a tertiary care hospital and outreach clinics, findings may overrepresent individuals with greater functional impairment. The cross-sectional design precludes causal inference, and multiple statistical comparisons increase the risk of Type I error.

Conclusion

This study highlights the importance of providing holistic care to amputee patients, focusing on functional assessment, coping strategies, prosthesis use, and self-esteem for complete recovery. It guides nurses, managers, and educators in enhancing knowledge, skills, and collaboration through training, workshops, and curriculum improvements. The study also proposes developing a patient education pamphlet, care protocol, posters, and counseling modules to strengthen nursing competence. By identifying gaps and barriers in current systems, it offers insights for improving service quality. Overall, the findings promote evidence-based, patient-centered care, ensuring better rehabilitation and well-being for amputated patients.

References

  • 1.World Health Organization Team. Musculoskeletal health [Internet]. 2022. [cited 2024 Nov 18]. Available from: https://www.who.int/news-room/fact-sheets/detail/musculoskeletal-conditions [Google Scholar]
  • 2.Kam S, Kent M, Khodaverdian A, Daiter L, Njelesani J, Cameron D, et al. The influence of environmental and personal factors on participation of lower-limb prosthetic users in low-income countries: prosthetists’ perspectives. Disabil Rehabil Assist Technol. 2015. May;10(3):245–51. [DOI] [PubMed] [Google Scholar]
  • 3.Kenney. Annual Report 2019 [Internet]. Washington DC: Amputee Coalition; 2019. [cited 2023 Oct 29]. Available from: https://www.amputee-coalition.org/about-us/annual-report/2019-annual-report [Google Scholar]
  • 4.Pooja GD, Sangeeta L. Prevalence and aetiology of amputation in Kolkata, India: A retrospective analysis. Hong Kong Physiother J. 2013. Jun;31(1):36–40. [Google Scholar]
  • 5.Megha Sood. India had most deaths in road accidents in 2019: Report. Hindustan Times [Internet]. 2020. Oct 25 [cited 2024 Nov 18]; Available from: https://www.hindustantimes.com/mumbai-news/india-had-most-deaths-in-road-accidents-in-2019-report/story-pikRXxsS4hptNVvf6J2g9O.html [Google Scholar]
  • 6.Silva A das M, Furtado G, Dos Santos IP, da Silva CB, Caldas LR, Bernardes KO, et al. Functional capacity of elderly with lower-limb amputation after prosthesis rehabilitation: a longitudinal study. Disabil Rehabil Assist Technol. 2021. Jul;16(5):556–60. [DOI] [PubMed] [Google Scholar]
  • 7.Guidet B, Zafeiridis T, Boumendil A, Leaver S, Watson X, Boulanger C, et al. The contribution of frailty, cognition, activity of daily life and comorbidities on outcome in acutely admitted patients over 80 years in European ICUs: the VIP2 study. Intensive Care Med. 2020. Jan;46(1):57–69. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Perkins ZB, De’Ath HD, Sharp G, Tai NRM. Factors affecting outcome after traumatic limb amputation. Br J Surg. 2012. Jan;99 Suppl 1:75–86. [DOI] [PubMed] [Google Scholar]
  • 9.Swarnakar R, Yadav SL, Surendran D. Lower limb amputation rehabilitation status in India: A review. World J Clin Cases. 2023. Oct 26;11(30):7261–7. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Husakova J, Bem R, Fejfarova V, Jirkovska A, Woskova V, Jarosikova R, et al. Factors Influencing the Risk of Major Amputation in Patients with Diabetic Foot Ulcers Treated by Autologous Cell Therapy. J Diabetes Res. 2022;2022:3954740. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.McDougall J, Wright V, Rosenbaum P. The ICF model of functioning and disability: incorporating quality of life and human development. Dev Neurorehabilitation. 2010;13(3):204–11. [DOI] [PubMed] [Google Scholar]
  • 12.Kohler F, Cieza A, Stucki G, Geertzen J, Burger H, Dillon MP, et al. Developing Core Sets for persons following amputation based on the International Classification of Functioning, Disability and Health as a way to specify functioning. Prosthet Orthot Int. 2009. Jun;33(2):117–29. [DOI] [PubMed] [Google Scholar]
  • 13.WHO Team. Measuring health and disability : manual for WHO Disability Assessment Schedule (WHODAS 2.0) [Internet]. Australia: WHO; 2012. [cited 2024 Nov 18]. 88 p. Available from: https://www.who.int/publications/i/item/measuring-health-and-disability-manual-for-who-disability-assessment-schedule-(-whodas-2.0)
  • 14.Endler N, Parker JDA. Coping Inventory for Stressful Situations [Internet]. 2018. [cited 2024 Nov 18]. Available from: https://doi.apa.org/doi/10.1037/t13031-000 [Google Scholar]
  • 15.Rosenberg. Rosenberg Self Esteem Scale [Internet]. 2022. [cited 2024 Nov 18]. Available from: https://socy.umd.edu/about-us/rosenberg-self-esteem-scale [Google Scholar]
  • 16.John Hopkins Medicine. Amputation [Internet]. 2024. [cited 2024 Nov 18]. Available from: https://www.hopkinsmedicine.org/health/treatment-tests-and-therapies/amputation#:~:text=Amputation%20is%20the%20loss%20or,emotional%20trauma%20can%20complicate%20recovery. [Google Scholar]
  • 17.Dean AG, Sullivan KM,, Soe MM. OpenEpi: Open Source Epidemiologic Statistics for Public Health, Version [Internet]. 2013. [cited 2024 Nov 18]. Available from: https://www.openepi.com/Menu/OE_Menu.htm [Google Scholar]
  • 18.Oloruntola EO, Eze CJ, Alao GO, Opateye M, Gbadebo OT, Akinbote PE, et al. Experiences and needs of persons who have undergone limb amputation in Saki West, Oyo State, Nigeria. Int Health. 2025. May 1;17(3):324–33. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Murray CD, Simpson J, Eccles F, Forshaw MJ. Involvement in rehabilitative care and wellbeing for partners of people with an amputation. Psychol Health Med. 2015. Jan 2;20(1):71–6. [DOI] [PubMed] [Google Scholar]
  • 20.Srivastava K, Saldanha D, Chaudhury S, Ryali V, Goyal S, Bhattacharyya D, et al. A Study of Psychological Correlates after Amputation. Med J Armed Forces India. 2010. Oct;66(4):367–73. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.von Reichert C, Berry EH. Rural-urban patterns of disability: The role of migration. Popul Space Place. 2019. Oct;1:1–18. [PMC free article] [PubMed] [Google Scholar]
  • 22.Yepson H, Mazzone B, Eskridge S, Shannon K, Awodele E, Farrokhi S, et al. The Influence of Tobacco Use, Alcohol Consumption, and Weight Gain on Development of Secondary Musculoskeletal Injury After Lower Limb Amputation. Arch Phys Med Rehabil. 2020. Oct;101(10):1704–10. [DOI] [PubMed] [Google Scholar]
  • 23.Tuglo LS. Prevalence and determinants of lower extremity amputations among type I and type II diabetic patients: A multicenter‐based study. Int Wound J. 2023. Apr;20(4):903–9. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.Hagan R, Kadzi J, Rahman G, Morna M. PATTERNS AND INDICATIONS OF AMPUTATION IN CAPE COAST TEACHING HOSPITAL: A FOUR YEAR RETROSPECTIVE REVIEW. J West Afr Coll Surg. 2018;8(3):45–58. [PMC free article] [PubMed] [Google Scholar]
  • 25.Reddy GP, Hari PS, Sahu S, Kumar M, Varma CK, Goyal V. Limb Amputations in a Tertiary Care Hospital, North India: A Cross-sectional Epidemiological Study – Can We Prevent This? J Mar Med Soc [Internet]. 2024. Feb 29 [cited 2024 Dec 16]; Available from: https://journals.lww.com/10.4103/jmms.jmms_149_23 [Google Scholar]
  • 26.Matos DR, Naves JF, Araujo TCCFD. Quality of life of patients with lower limb amputation with prostheses. Estud Psicol Camp. 2020;37:e190047. [Google Scholar]
  • 27.Hando D J. Factors Influencing the Health-Related Quality of Life among Limb Amputees: A Two-Center Cross-Sectional Study. East Afr Health Res J. 2023. Jul 12;7(1):121–6. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28.Limakatso K, Bedwell GJ, Madden VJ, Parker R. The prevalence and risk factors for phantom limb pain in people with amputations: A systematic review and meta-analysis. Eshraghi A, editor. PLOS ONE. 2020. Oct 14;15(10):e0240431. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29.Limakatso K, Tucker J, Banda L, Robertson C, Parker R. The profile of people undergoing lower limb amputations at Groote Schuur Hospital. Afr J Disabil [Internet]. 2024. Feb 14 [cited 2024 Oct 29];13. Available from: http://www.ajod.org/index.php/AJOD/article/view/1152 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30.Roberts DJ, Nagpal SK, Forster AJ, Brandys T, Murphy C, Jennings A, et al. Disability, pain, and wound-specific concerns self-reported by adults at risk of limb loss: A cross-sectional study using the World Health Organization Disability Assessment Schedule 2.0. Singh K, editor. PLOS ONE. 2021. Jun 15;16(6):e0253288. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31.Mukkamala N, Vala S. Functional Mobility in Individuals With Lower Limb Amputation: An Observational Study. Cureus [Internet]. 2024. Jan 22 [cited 2024 Oct 29]; Available from: https://www.cureus.com/articles/215953-functional-mobility-in-individuals-with-lower-limb-amputation-an-observational-study [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32.Calabrese L, Maffoni M, Torlaschi V, Pierobon A. What Is Hidden behind Amputation? Quanti-Qualitative Systematic Review on Psychological Adjustment and Quality of Life in Lower Limb Amputees for Non-Traumatic Reasons. Healthcare. 2023. Jun 5;11(11):1661. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33.Kakooza S, Nanyunja Z, Muwonge K, Kiyingi F, Serunjogi D. Psychological Correlates of Traumatic Experiences and Coping Strategies of Post Amputation: A case study of Mulago Specialized National Hospital, Kampala Uganda. [Internet] [Master of Science in Clinical Psychological Counseling]. [Kampala]: Uganda Martyr’s University; 2020. [cited 2024 Oct 29]. Available from: http://sjhresearchafrica.org/index.php/public-html/article/view/9 [Google Scholar]
  • 34.Holzer LA, Sevelda F, Fraberger G, Bluder O, Kickinger W, Holzer G. Body Image and Self-Esteem in Lower-Limb Amputees. Serino A, editor. PLoS ONE. 2014. Mar 24;9(3):e92943. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 35.Alkadem A.T.A., Noori A.K.M. Self-esteem and its Correlation with Quality of Life among Amputees. Afarand Sch Publ Inst Turk. 2023. Oct;15(3):315–21. [Google Scholar]
  • 36.Peirano A, Franz R. Spirituality and Quality of Life in Limb Amputees. Int J Angiol. 2012. Mar;21(01):047–52. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37.Oaksford K, Frude N, Cuddihy R. Positive Coping and Stress-Related Psychological Growth Following Lower Limb Amputation. Rehabil Psychol. 2005. Aug;50(3):266–77. [Google Scholar]
  • 38.Raghuraman P, Balasundaram S, Sarkar S, Subramaniam E. A cross-sectional study of psychiatric morbidity and quality of life among participants utilizing the preventive health-care services of a tertiary hospital. Indian J Psychiatry. 2019;61(2):192–7. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 39.Yang S, Wang S, Yang B, Zheng J, Cai Y, Yang Z. Alcohol Consumption Is a Risk Factor for Lower Extremity Arterial Disease in Chinese Patients with T2DM. J Diabetes Res. 2017;2017:1–6. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 40.Turner AP, Williams RM, Norvell DC, Henderson AW, Hakimi KN, Blake DJ, et al. Prevalence and 1-Year Course of Alcohol Misuse and Smoking in Persons with Lower Extremity Amputation as a Result of Peripheral Arterial Disease. Am J Phys Med Rehabil. 2014. Jun;93(6):493–502. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 41.Ghai S, Hitzig SL, Eberlin L, Melo J, Mayo AL, Blanchette V, et al. Reporting of Rehabilitation Outcomes in the Traumatic Lower Limb Amputation Literature: A Systematic Review. Arch Phys Med Rehabil. 2024. Jun;105(6):1158–70. [DOI] [PubMed] [Google Scholar]

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