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Health-related quality of life and associated factors in people with diabetes at high risk of foot ulceration



The health-related quality of life (HRQoL) of people with diabetes-related foot complications has been increasingly reported, mostly from studies of people with a foot ulcer. The aim of this study was to assess HRQoL and determine factors associated with HRQoL in people with diabetes at high risk of foot ulceration.


In all, 304 participants enrolled in the Diabetic Foot Temperature Trial (DIATEMP) were included in the cross-sectional analysis. HRQoL was measured by the RAND® 36-Item Short Form Health Survey (SF-36) at baseline. Potential factors associated with HRQoL were analysed using multiple linear regression analyses for the eight domains of the SF-36.


Participants were predominantly male (72%), mean age 64.6 (±10.5) years, 77% type 2 diabetes and mean duration of diabetes 20 (±14) years. Mean SF-36 domain scores for the General Health (49.2 ± 20.1), Role Physical (50.9 ± 44.7), Physical Function (58.5 ± 27.9) and Vitality domains (59.8 ± 21.6) were lower compared to the Mental Health (78.4 ± 18.0), Social Functioning (75.3 ± 24.2), Role Emotional (73.5 ± 38.9) and Bodily Pain (67.0 ± 27.0) domains. HRQoL was lower than Dutch population-based and general diabetes samples, but higher than in samples with an ulcer. Use of a walking aid was associated with lower HRQoL across all 8 SF-36 domains (β range − 0.20 to − 0.50), non-Caucasian descent was associated with lower HRQoL in 5 domains (β range − 0.13 to − 0.17). Not working, higher BMI and younger age were associated with lower HRQoL in 3 domains.


People at high risk of diabetes-related foot ulceration have reduced HRQoL that varies across domains, with the physical domains most affected. Assessing mobility, ethnicity, BMI and job status may be useful in daily practice to screen for people who might benefit from interventions targeting HRQoL.

Trial registration

Netherlands Trial Registration: NTR5403. Registered on 8 September 2015.

Peer Review reports


The International Diabetes Federation has estimated that 463 million people had diabetes in 2019, and 1 in 10 people (693 million) will have diabetes by 2045 [1]. People with diabetes are at high risk of developing lower-extremity complications, including peripheral neuropathy and peripheral artery disease, which can lead to foot ulceration and lower-extremity amputation [2]. Recent research has shown that diabetes-related foot complications are a large and growing contributor to the disability burden worldwide, with an estimated 2.1% of the global years lived with disability (YLD), and 59% of all diabetes-related YLD [3]. Diabetes-related foot complications are hard to manage and often recur, especially in the case of ulceration [4].

Health-related quality of life (HRQoL) and other patient-reported outcomes provide additional information to traditional biomedical measures of health when assessing preventative interventions or outcomes of treatment [5]. Over the past two decades, the HRQoL of people with diabetes-related foot complications has been increasingly investigated [5]. These studies predominantly focus on people with diabetes-related foot ulceration and a recent meta-analysis has shown that the HRQoL of people with such foot ulcers is low, especially with respect to physical function and perceptions of general health [6]. HRQoL has hardly been investigated in those people who heal from an ulcer. More insight in this population is important, because of the high risk for ulcer recurrence, [4] and the association between HRQoL and worsening foot morbidity [7].

There is also limited data on the factors associated with HRQoL in people at highest risk of ulceration [8]. Understanding the factors associated with HRQoL in this population may assist with identifying key areas of intervention that can impact patients’ HRQoL. Such insights could assist in the design of screening programs and development of personalised or behavioural interventions to promote well-being and contribute to ulcer prevention [9]. Thus, the aim of this study was to assess HRQoL in people with diabetes at high risk of foot ulceration and to determine factors associated with HRQoL.


Study design

This was a cross-sectional analysis of HRQoL data obtained at baseline from people enrolled in the Diabetic Foot Temperature Trial (DIATEMP), a multi-centre randomised controlled trial that aimed to assess the cost-effectiveness and cost utility of at-home foot temperature monitoring to reduce the incidence of foot ulcer recurrence [10, 11].


Informed consent was obtained by participants enrolled from multi-disciplinary clinics and affiliated podiatry clinics of three university and four community hospitals spread across the Netherlands. All participants were at high risk of developing a diabetes-related foot ulcer, with all having diabetes, loss of protective sensation and a history of foot ulceration (within the past 4 years) or a history of Charcot neuro-osteoarthropathy [10, 11]. Loss of protective sensation was measured using a 10-g Semmes-Weinstein monofilament and a 128 Hz tuning fork and was diagnosed if participants failed one or both tests. Participants were excluded if, at the time of assessment, they had a foot ulcer, foot infection, an active Charcot neuro-osteoarthropathy, critical limb ischaemia, bilateral amputation proximal to the tarso-metatarsal (Lisfranc) joint, an estimated survival of less than 18 months, or if they were already using home temperature monitoring as part of their foot care. Further details on the inclusion and exclusion criteria is described elsewhere [10, 11].

Outcomes of interest

Health-related quality of life as measured by SF-36

Health-related quality of life was measured with the Dutch translation of the RAND® 36-Item Short Form Health Survey (SF-36) (Version 1.0) [12, 13]. The survey was administered at baseline in the participating setting. The SF-36 is a comprehensive, standardised and psychometrically sound generic measure of health status in general and specific populations [12, 14]. The SF-36 includes one scale for each of eight important domains of health: Physical Function (practical physical activity), Role Physical limitations (physical health-related role limitations), Role Emotional (accomplishment of work or other usual activities), Vitality (levels of energy), Mental Health (feelings of peace, happiness and calmness), Social Functioning (health-related physical or emotional effects on the quantity and quality of social activities), Bodily Pain and General Health (measuring a general rating of health and the views and expectations of health) [12]. Details on the survey and item responses can be found elsewhere [12,13,14].

Potential factors associated with HRQoL

Participant characteristics measured at baseline in the DIATEMP trial were considered as potential factors associated with HRQoL [10]. These include variables according to setting (university medical centre, community hospital, podiatry practice); general demographics (age, sex, ethnicity, education levels, if living alone, if working; socio-economic score measured by postcode linked to the Netherlands Institute for Social Research); diabetes-related variables (diabetes type, duration, control, BMI); presence of microvascular complications such as retinopathy, nephropathy or need for dialysis; health-related behaviour (smoking, alcohol consumption); use of a walking aid to improve mobility (walking stick, walking frame, wheelchair, scooter); footwear (including walking barefoot at home and use of orthopaedic footwear); and foot health at baseline (presence of peripheral artery disease [15], presence of foot deformity [16], presence of minor foot skin lesions, history of lower-extremity amputation, time since healing of previous foot ulcer and duration of previous two ulcers).

Statistical analysis

The SF-36 was scored using a two-step process [12, 13]. First, numeric values were recoded so that a higher score defined a more favourable health state and were in a 0 (worst possible) to 100 (best possible) range. Outcome data was normally distributed so items in the same scale were averaged together to create eight mean health domain scale scores. Items left blank by respondents were not considered, so the final domain score represented the average for all items in a scale that the participants answered [13]. For all other independent variables, consolidation of groups was undertaken where appropriate for a regression analysis. To determine the factors associated with HRQoL, multiple linear regression analyses were used for each of the eight SF-36 health domains with statistically significant (p < 0.200) independent variables found after univariate analysis entered into the multivariate models [17]. Factors associated with HRQoL for each health domain of the SF-36 were determined if statistically significant (p < 0.05) after multivariate analysis. The analysis was performed with SPSS, version 26 (SPSS Inc., Chicago, IL).


Participant characteristics and HRQoL

A total 304 participants were recruited from the participating centres with 29% recruited from a university medical centre, 44% from a community hospital and 27% from podiatry practice. Participant characteristics are detailed in Table 1. Mean age was 64.6 ± 10.5 years, with 72.4% men and mean duration of diabetes 20 ± 14 years. Two hundred and ninety-five participants were included based on history of ulceration and nine participants were included based on having a history of Charcot neuro-osteoarthropathy.

Table 1 Participant characteristics (N = 304)

Mean SF-36 domain scores are found in Table 2. Lowest scores were found for General Health (49.2 ± 20.1), while highest scores were found for Mental Health (78.4 ± 18.0). The mean score for Role-Physical (50.9 ± 44.7) was next lowest, with Physical Function (58.5 ± 27.9), Vitality (59.8 ± 21.6) and Bodily Pain (67 ± 27). Along with Mental Health, Social Functioning (75.3 ± 24.2) and Role-Emotional (73.5 ± 38.9) had a mean score > 70.

Table 2 Mean SF36 domain scores (n = 304)

Factors associated with HRQoL

Factors identified after univariate analyses  were determined (Table 3) and entered into the multivariate analyses and the significant factors associated with the eight domains of the SF-36 are presented in Table 4. There were nine factors associated with one or more of the eight SF-36 domains. Of these, use of a walking aid (29% of the study sample) was associated with each of the 8 domains of HRQoL, where those using a walking aid reported lower mean domain scores than those who did not. This difference was most marked in the Physical Functioning, Role Physical and Bodily Pain domains. Caucasian descent (93% of the sample) was also a prominent factor of HRQoL, where those identifying as Caucasian had significantly higher and more favourable scores in the Role Physical, Role Emotional, Mental Health, Social Functioning and Bodily Pain domains. Older age was associated with higher Vitality, Mental Health and General Health domain scores. Those working (25% of sample) had higher Physical Function, Vitality and General Health domain scores and. A higher BMI was associated with lower Physical Function, Vitality and Bodily Pain scores. Alcohol intake was associated with higher Role Physical score. Those with type 2 diabetes (77% of sample) had a higher Social Functioning score compared to those with type 1 diabetes. There were two foot-health related factors associated with HRQoL, with those with minor lesions (40% of sample) reporting higher Vitality and Social Functioning scores than those without and those with a history of amputation (27% of sample) reporting higher Bodily Pain mean scores than those without.

Table 3 Factors entered in the multivariate models for each of the SF-36 domainsa
Table 4 Factors associated with SF-36 domains after multivariate analysis

Whilst all multivariate models were significant, the largest explanatory effect (46%) was seen for Physical Function domain scores (R2 = 0.46), based on use of walking aid, working status and BMI. The smallest explanatory effect (12%) was seen for the Role Emotional domain scores (R2 = 0.12), based on ethnicity and use of a walking aid.


Health-related quality of life of people at high risk of diabetes-related ulceration

This is the first study of HRQoL from a large sample of people at high risk of diabetes-related foot ulceration. Overall, the most significant HRQoL impairment was in the General Health, Role Physical and Physical Function domains. The Mental Health domain scored highest, followed by Social Functioning, Role Emotional, Bodily Pain and Vitality. In comparison to other populations, the HRQoL of our study sample at high risk of ulceration was lower than of representative Dutch population-based [18] and diabetes [19] samples, but higher than in samples with a current ulcer [6] (see Fig. 1 for a visual depiction of this pattern). This trend has also been found in previous studies in people with diabetes-related foot complications such as ulceration, infection or amputation, indicating HRQoL is lower when groups have worse foot and ulcer outcomes [5]. This also suggests that the protective benefits to the HRQoL of people remaining in ulcer remission may be significant, especially across physical functioning and general health.

Fig. 1
figure 1

DIATEMP baseline SF36 scores compared to selected studies from different samples

The reported impairments in Physical Function and Role Physical are understandable given the population studied. All participants in this study had peripheral neuropathy, and it has been shown that people with peripheral neuropathy exhibit symptoms such as unsteadiness or limitations to balance which can influence falls risk [20]. Limitations to Physical Function and Role Physical have also been found in a small Dutch cross-sectional study of people with ulceration assessing physical mobility, where the potential was raised for HRQoL to be increased with rehabilitation interventions to enhance mobility [21]. It is also understandable that the General Health domain was low in the current study. Participants reported a mean score over twenty points lower than a Dutch general population [18], and a reduction in the General Health domain is a consistent finding amongst people with diabetes [22].

There were more favourable HRQoL scores reported across the mental-emotional-social domains of the SF-36. The Mental Health domain had the highest mean domain score, which is a similar finding in samples with a foot ulcer [5, 6, 8]. It is important though to not discount the role peripheral neuropathy has on mental health in light of clear associations being found between peripheral neuropathy with anxiety and depression, and it is possible that the mental and emotional domains of the SF-36 do not adequately capture neuropathy-related emotional distress [23]. There was also a comparatively high domain score for Role Emotional and Social Functioning, with scores consistently higher than reported in people with ulceration [6]. Vitality was lower compared to the Mental Health and Role Emotional scores, and this reduction in energy levels can also be seen in the general and other populations (Fig. 1).

Factors associated with health-related quality of life

The independent variables entered into the regression analyses explained between 12 to 46% of the variance in the eight SF-36 domain scores. The strongest model showed that working status, use of walking aid and BMI combined predicted 46% of the variance in the Physical Function domain, with not working, having a walking aid and a higher BMI independently associated with lower Physical Function scores. Overall, the factors associated with HRQoL concerned mainly individual and lifestyle characteristics (e.g. age, ethnicity, working status, walking aid, alcohol intake), while, with the exception of BMI, there were fewer diabetes- or foot health-related factors associated with HRQoL. Key areas of clinical focus should include addressing potentially modifiable factors associated with HRQoL such as interventions to reduce the need for a walking aid, to lower BMI and to improve employment potential.

The use of a walking aid was the strongest associated factor of HRQoL across all domains of the SF-36. While this is a new finding, use of a walking aid has recently been found from the DIATEMP sample to be a predictor of plantar foot ulceration [24]. For the 29% of the participants who used a walking aid, scores indicated lower HRQoL compared to non-users of walking aids across both physical and mental domains of HRQoL, with the largest effect being for Physical Function and Role Physical. Walking aids can indicate disability, mobility problems, balance impairment and risk of falling [25]. However, as the design for this study was a randomised controlled trial on the effectiveness of foot thermometry, there were limited variables collected and analysed relating to using a walking aid such as balance and safety [25]. However, these findings suggest that assessment of physical function might be useful in people at high risk of foot ulceration to identify areas of important interventions to improve HRQoL. This could include the prescription of rehabilitation programs [21] that include exercise training, as adherence to exercise has been shown to be associated with better HRQoL in the Physical Function, Vitality, Mental Health, Social Functioning and Bodily Pain domains [8].

Participant ethnic and racial background was also a consistent factor of HRQoL, with Caucasians scoring more favourably than non-Caucasians on Role Physical, Role Emotional, Mental Health, Social Functioning and Bodily Pain domains. Although caution must be taken when interpreting these results as there were only 7% non-Caucasian participants in the study, it is significant that the non-Caucasian participants reported lower HRQoL across these domains. This may reflect a level of disadvantage and a need for additional support for their care. However, selection bias is a possibility, as most of the non-Caucasian participants attended a university medical centre and had higher morbidity (data not shown). Further studies including larger non-Caucasian populations remain needed to investigate this association.

The next most prevalent factors associated with lower HRQoL were younger age (in domains Vitality, Mental Health, General Health), work status (Physical Function, Vitality, General Health) and higher BMI (Physical Function, Vitality, Bodily Pain). Work status as a factor of HRQoL is consistent with research in people with diabetes showing that paid work is associated with lower risk of impairment in activities of daily living and provides valuable social participation [26]. As has been found in other clinical populations of people with history of ulceration [27], the younger participants in this study were more likely to have type 1 diabetes and worse blood glucose control (data not shown), indicating worse morbidity with possible subsequent effect on HRQoL. Similarly, the negative association between BMI with HRQoL is consistent with the literature [28].

There are few studies that have specifically investigated the factors associated with HRQoL in people with or at risk of diabetes-related foot ulceration. Our findings contrast with previous findings from a sample of people with ulceration, where the key factors associated with HRQoL as measured by the SF-36 were biochemical signs of inflammation [29]. Two other previous studies of people with healed ulceration have investigated factors associated with self-perceived health [30, 31]. One found that younger age, cardiovascular disease and depression were associated with poorer self-perceived health [30], contrasting with a more recent study that showed older age, female gender, low education, high BMI and presence of complications were associated with poorer perceived health [31]. These contrasting results from different populations suggest that further research is required to explore the potentially different factors associated with HRQoL for people with different levels of diabetes-related foot morbidity.

Methodological considerations

This study from a relatively large and representative sample adds information that is currently lacking about the HRQoL in people at high risk of ulceration. The data appears valid when observing the pattern of results compared to previous research across different populations, as they align with data that suggests worsening morbidity is associated with worse HRQoL (Fig. 1). The design of the DIATEMP trial, where the focus of the study was on incident ulceration and foot thermometry, limited the measurement of other potentially relevant HRQoL parameters, such as other co-morbidities, medication regime, and more detailed sociodemographic information. This may be reflected in the relatively low predictive power of the multivariate analyses. Further, whilst the SF-36 is an established generic measure of HRQoL, it has been asserted that it may inadequately measure mental and emotional responses in this population [5, 23].


This study has determined the HRQoL in a large sample of people at high risk of diabetes-related foot ulceration. People at high ulcer risk have reduced HRQoL across most domains of HRQoL in comparison to the general population, and higher than in studies reporting on people with diabetes and a foot ulcer. Use of walking aid was associated with reduced HRQoL across all domains of the SF-36. Non-Caucasian ethnicity, not working, higher BMI and younger age were the next most common factors associated with reduced HRQoL. Although causal inferences cannot be made from this study, assessing mobility, ethnicity, BMI and job status may be useful in daily practice to screen for people who might benefit from interventions targeting HRQoL. Future research should investigate the clinical implications of these association over time and to explore possible causal pathways.

Availability of data and materials

The datasets used and/or analysed during the current study are available from the corresponding author on reasonable request.



Health-related quality of life


Diabetic Foot Temperature Trial


Body Mass Index


Years lived with disability


RAND® 36-Item Short Form Health Survey (Version 1.0)


  1. Saeedi P, Petersohn I, Salpea P, Malanda B, Karuranga S, Unwin N, et al. Global and regional diabetes prevalence estimates for 2019 and projections for 2030 and 2045: results from the international diabetes federation diabetes atlas, 9(th) edition. Diabetes Res Clin Pract. 2019;157:107843.

    Article  PubMed  Google Scholar 

  2. Boulton AJ, Vileikyte L, Ragnarson-Tennvall G, Apelqvist J. The global burden of diabetic foot disease. Lancet (London, England). 2005;366(9498):1719–24.

    Article  Google Scholar 

  3. Zhang Y, Lazzarini PA, McPhail SM, van Netten JJ, Armstrong DG, Pacella RE. Global disability burdens of diabetes-related lower-extremity complications in 1990 and 2016. Diabetes Care. 2020;43(5):964–74.

    Article  PubMed  Google Scholar 

  4. Armstrong DG, Boulton AJM, Bus SA. Diabetic foot ulcers and their recurrence. N Engl J Med. 2017;376(24):2367–75.

    Article  PubMed  Google Scholar 

  5. Wukich DK, Raspovic KM. Assessing health-related quality of life in patients with diabetic foot disease: why is it important and how can we improve? The 2017 Roger E. Pecoraro award lecture. Diabetes Care. 2018;41(3):391–7.

    Article  PubMed  Google Scholar 

  6. Khunkaew S, Fernandez R, Sim J. Health-related quality of life among adults living with diabetic foot ulcers: a meta-analysis. Qual Life Res. 2019;28(6):1413–27.

    Article  PubMed  Google Scholar 

  7. Siersma V, Thorsen H, Holstein PE, Kars M, Apelqvist J, Jude EB, et al. Health-related quality of life predicts major amputation and death, but not healing, in people with diabetes presenting with foot ulcers: the Eurodiale study. Diabetes Care. 2014;37(3):694–700.

    Article  PubMed  Google Scholar 

  8. Polikandrioti M, Vasilopoulos G, Koutelekos I, Panoutsopoulos G, Gerogianni G, Babatsikou F, et al. Quality of life in diabetic foot ulcer: associated factors and the impact of anxiety/depression and adherence to self-care. Int J Low Extrem Wounds. 2020;19(2):165–79.

    Article  PubMed  Google Scholar 

  9. van Netten JJ, Woodburn J, Bus SA. The future for diabetic foot ulcer prevention: a paradigm shift from stratified healthcare towards personalized medicine. Diabetes Metab Res Rev. 2020;36(Suppl 1):e3234.

    PubMed  Google Scholar 

  10. aan de Stegge WB, Mejaiti N, van Netten JJ, Dijkgraaf MGW, van Baal JG, Busch-Westbroek TE, et al. The cost-effectiveness and cost-utility of at-home infrared temperature monitoring in reducing the incidence of foot ulcer recurrence in patients with diabetes (DIATEMP): study protocol for a randomized controlled trial. Trials. 2018;19(1):520.

    Article  Google Scholar 

  11. Bus SA, aan de Stegge WB, van Baal JG, Busch-Westbroek TE, Nollet F, van Netten JJ. Effectiveness of at-home skin temperature monitoring in reducing the incidence of foot ulcer recurrence in people with diabetes: a multicenter randomized controlled trial (DIATEMP). BMJ Open Diabetes Res Care. 2021;9(1):e002392.

    Article  PubMed  PubMed Central  Google Scholar 

  12. Ware JE Jr, Sherbourne CD. The MOS 36-item short-form health survey (SF-36). I. Conceptual framework and item selection. Med Care. 1992;30(6):473–83.

    Article  PubMed  Google Scholar 

  13. RAND Health Care. 36-item short form survey (SF-36). Available from: Accessed 20 June 2021.

  14. Maruish ME, editor. User's manual for the SF-36v2 health survey. 3rd ed. Lincoln: QualityMetric Incorporated; 2011.

    Google Scholar 

  15. Schaper NC. Diabetic foot ulcer classification system for research purposes: a progress report on criteria for including patients in research studies. Diabetes Metab Res Rev. 2004;20(Suppl 1):S90–5.

    Article  PubMed  Google Scholar 

  16. Bus SA, Waaijman R, Arts M, de Haart M, Busch-Westbroek T, van Baal J, et al. Effect of custom-made footwear on foot ulcer recurrence in diabetes: a multicenter randomized controlled trial. Diabetes Care. 2013;36(12):4109–16.

    Article  PubMed  PubMed Central  Google Scholar 

  17. aan de Stegge WB, Abu-Hanna A, Bus SA. Development of a multivariable prediction model for plantar foot ulcer recurrence in high-risk people with diabetes. BMJ Open Diabetes Res Care. 2020;8(1):e001207.

    Article  Google Scholar 

  18. Picavet HSJ, Hoeymans N. Health related quality of life in multiple musculoskeletal diseases: SF-36 and EQ-5D in the DMC study. Ann Rheum Dis. 2004;63(6):723.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  19. Kleefstra N, Ubink-Veltmaat LJ, Houweling ST, Groenier KH, Meyboom-de Jong B, Bilo HJ. Cross-sectional relationship between glycaemic control, hyperglycaemic symptoms and quality of life in type 2 diabetes (ZODIAC-2). Neth J Med. 2005;63(6):215–21.

    CAS  PubMed  Google Scholar 

  20. Reeves ND, Brown SJ, Petrovic M, Boulton AJM, Vileikyte L. How does self-perceived unsteadiness influence balance and gait in people with diabetes? Preliminary observations. Diabetes Care. 2017;40(5):e51–e2.

    Article  PubMed  Google Scholar 

  21. Meijer JW, Trip J, Jaegers SM, Links TP, Smits AJ, Groothoff JW, et al. Quality of life in patients with diabetic foot ulcers. Disabil Rehabil. 2001;23(8):336–40.

    Article  CAS  PubMed  Google Scholar 

  22. Norris SL, McNally TK, Zhang X, Burda B, Chan B, Chowdhury FM, et al. Published norms underestimate the health-related quality of life among persons with type 2 diabetes. J Clin Epidemiol. 2011;64(4):358–65.

    Article  PubMed  Google Scholar 

  23. Vileikyte L, Crews RT, Reeves ND. Psychological and biomechanical aspects of patient adaptation to diabetic neuropathy and foot ulceration. Curr Diab Rep. 2017;17(11):109.

    Article  PubMed  Google Scholar 

  24. aan de Stegge WB, Schut MC, Abu-Hanna A, van Baal JG, van Netten JJ, Bus SA. Development of a prediction model for foot ulcer recurrence in people with diabetes using easy-to-obtain clinical variables. BMJ Open Diabetes Res Care. 2021;9(1):e002257.

    Article  Google Scholar 

  25. Charette C, Best KL, Smith EM, Miller WC, Routhier F. Walking aid use in Canada: prevalence and demographic characteristics among community-dwelling users. Phys Ther. 2018;98(7):571–7.

    Article  PubMed  Google Scholar 

  26. Vassilev I, Rogers A, Sanders C, Cheraghi-Sohi S, Blickem C, Brooks H, et al. Social status and living with a chronic illness: an exploration of assessment and meaning attributed to work and employment. Chronic Illn. 2014;10(4):273–90.

    Article  PubMed  Google Scholar 

  27. Perrin BM, Allen P, Gardner MJ, Chappell A, Phillips B, Massey C, et al. The foot-health of people with diabetes in regional and rural Australia: baseline results from an observational cohort study. J Foot Ankle Res. 2019;12(1):56.

    Article  PubMed  PubMed Central  Google Scholar 

  28. Kolotkin RL, Andersen JR. A systematic review of reviews: exploring the relationship between obesity, weight loss and health-related quality of life. Clin Obes. 2017;7(5):273–89.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  29. Ribu L, Hanestad BR, Moum T, Birkeland K, Rustoen T. Health-related quality of life among patients with diabetes and foot ulcers: association with demographic and clinical characteristics. J Diabetes Complicat. 2007;21(4):227–36.

    Article  Google Scholar 

  30. Hoogendoorn CJ, Gonzalez JS, Schechter CB, Flattau A, Reeves ND, Boulton AJM, et al. Correlates of self-rated health in people with diabetic peripheral neuropathy: a longitudinal study. Diabet Med. 2021;38(5):e14383.

    Article  CAS  PubMed  Google Scholar 

  31. Iversen MM, Midthjell K, Tell GS, Moum T, Ostbye T, Nortvedt MW, et al. The association between history of diabetic foot ulcer, perceived health and psychological distress: the Nord-Trøndelag health study. BMC Endocr Disord. 2009;9:18.

    Article  PubMed  PubMed Central  Google Scholar 

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The DIATEMP trial was supported by ZonMw (the Netherlands Organisation for Health Research and Development [project nr. 837002508], with 10% matching funded by the NVvP (Dutch Society for Podiatrists) and ProVoet (branch organisation for pedicures). The funders were not involved in the conduct of the research, the writing of the report or submission of article for publication.

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Authors and Affiliations



SB conceived and designed the DIATEMP trial. SB, WadS, JvN drafted or edited DIATEMP trial protocol. TB advised and contributed to the DIATEMP trial design. BP designed and undertook the analysis plan for SF-36 analysis reported this article, and JvN, SB, WadS and TB advised and contributed. BP drafted the article, and all authors read and commented on the article, and approved the final version of the manuscript.

Corresponding author

Correspondence to Byron M. Perrin.

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The trial was conducted according to the principles of the Declaration of Helsinki (64th version, October 2013) and in accordance with the Medical Research Involving Human Subjects Act. Ethical approval for the trial was been obtained by the METC of the Academic Medical Center in Amsterdam (NL 52735.018.115).

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Perrin, B.M., van Netten, J.J., aan de Stegge, W.B. et al. Health-related quality of life and associated factors in people with diabetes at high risk of foot ulceration. J Foot Ankle Res 15, 83 (2022).

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