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Mediating effect of fasting blood glucose and peripheral arterial disease on the relationship between sexual functioning and health-related quality of life among Nigerians with type 2 diabetes

Abstract

Background

Poor glycemic control and sexual dysfunction have been shown to impair health-related quality of life (HRQoL) of individuals with diabetes. However, mediators underlying this relationship have not been evaluated. This study aimed/sought to assess the effect of fasting blood glucose (FBG) and peripheral arterial disease (PAD) on the relationship between sexual functioning (SeF) and HRQoL among Nigerians with type 2 diabetes mellitus (T2DM).

Methods

This cross-sectional study consecutively recruited 210 participants diagnosed with T2DM. The recent FBG and lipid profiles were gleaned from the medical records of the participants. We assessed the ankle-brachial index by 8 MHz handheld vascular Doppler. Participants completed the Changes in Sexual Functioning Questionnaire and Short Form 12 (SF-12) questionnaire to assess SeF and HRQoL, respectively.

Results

Significant differences exist in HRQoL of participants with good and poor glycemic control (mean rank = 111.02 vs. 93.64, p = 0.035) but none between participants with and without PAD (mean rank = 101.39 vs. 107.60, p = 0.483). There was a significant correlation between SeF and HRQoL (r = 0.181, CI = 0.043–0.313, p = 0.008), and a significant negative correlation between HRQoL and FBG (r = -0.149, CI = -0.284 - -0.008, p = 0.033). There is a significant indirect effect of impact of SeF on HRQoL through FBG (b = -0.027, t = -0.899) and PAD (b = 0.034, t = 1.246). Furthermore, the direct effect of SeF on HRQoL in the presence of the mediators was also significant (b = 0.483, p = 0.001). This shows that PAD and FBG mediates the relationship between SeF and HRQoL.

Conclusion

Good glycemic control and the absence of PAD mediate the relationship between SeF and HRQoL in Nigerians with T2DM.

Clinical trial number

Not applicable.

Peer Review reports

Introduction

Type 2 diabetes mellitus (T2DM) remains a major public health issue globally. It is estimated to affect 476 million people globally in 2017 and projected to increase to 693 million by 2045 [1, 2]. This translates to 6059 cases per 100,000 in 2017 with increase to 7079 cases per 100,000 [3] by 2030. The vital proportion of these affected individuals reside in sub-Saharan Africa and is estimated to increase from 25 million people in 2021 to 55 million by 2045 [4]. In Nigeria, T2DM is estimated to affect 4.7 million in 2015 and 3.6 million in 2021 [4, 5]. T2DM and its complications have imposed a great burden not only on the afflicted but the society at large. To mitigate these burden, focus has shifted from a biomedical model of health to a biopsychosocial model of health in offering adequate treatment for T2DM [6]. One of such biopsychosocial aspect is the improvement in health-related quality of life (HRQoL) of people with type 2 diabetes.

Uncontrolled blood glucose and other complications of T2DM negatively impact HRQoL of people with T2DM [7,8,9]. The more the number of diabetes complications, the poorer the HRQoL [7, 10]. Literature search suggests that individuals with T2DM who have good glycemic control demonstrated better HRQoL than those who have poor glycemic control [10,11,12,13]. The mechanism by which controlled blood glucose translates to a better quality of life has been attributed to reduction in diabetes complications [7, 10].

One of the T2DM complications that impacted HRQoL is sexual dysfunction. Evidence suggests that people with T2DM have lower sexual functioning compared with the general population [14,15,16,17]. This reduction in sexual functioning has been reported to impact the quality of life of individuals with diabetes negatively [18, 19]. A negative relationship between sexual dysfunction and quality of life exists among people with diabetes [18,19,20,21]. It therefore becomes imperative to find a way of improving the sexual functioning of individuals with diabetes in order to better their quality of life.

HRQoL among individuals with T2DM has been shown to be impacted by microvascular and macrovascular complications [8, 9] one of which is peripheral arterial disease (PAD). People with T2DM who have developed PAD experience significant reduction in their HRQoL and walking distance [22]. T2DM with PAD has been suggested to be at risk of impaired functional capacity, reduced general health and greater social isolation [22].

Several studies have determined the HRQoL and its correlates or determinants and reported that a significant impact of these correlates impaired the HRQoL in the T2DM population [9,10,11,12, 23,24,25,26,27]. There are few studies on factors that may mediate or moderate these correlates. It is essential to elucidate factors that can mediate these correlations for optimal glycemic control and quality of life. As mentioned above both poor glycemic control and presence of PAD independently impacted HRQoL. Thus, both FBG and PAD were chosen as mediators that may likely mediate association between sexual functioning and HRQoL. Therefore, this study assessed the relationship between sexual functioning and health-related quality of life and its mediators among Nigerians with type 2 diabetes.

Methods

Design and population

This cross-sectional study consecutively recruited participants diagnosed with type 2 diabetes mellitus using WHO criteria [28] sourced from the endocrinology clinic of Olabisi Onabanjo University Teaching Hospital, Sagamu, Nigeria. Inclusion criteria are that study participants must have been attending clinic and receiving treatment for diabetes for at least four weeks, give informed consent and be able to communicate and complete the questionnaires. Prior to the study, a standard formula was used to estimate sample size with an error margin set at 0.05, 95% confidence level Z scores at 1.959964, p = 0.5, and diabetes population attendees at a clinic set at 414 [29]. A minimum of 199 participants was required to power the study.

Informed written consent was obtained from all the participants prior to recruitment whilst Olabisi Onabanjo University Teaching Hospital Health Research and Ethics Committee approved the study (Approval no: OOUTH/HREC/472/2021AP).

Measurement

Sociodemographic data including age, sex, marital and occupation were obtained from the participants. The recent fasting blood glucose and lipid profiles were gleaned from the medical records of the participants. Fasting blood glucose (FBG) < 7.0 mmol/L (< 126 mg/dl) was set as achieving blood glucose control [28].

Ankle-brachial index (ABI) was assessed with a standard method using 8 MHz handheld vascular Doppler (Dopplex Doppler, LUS-D900-P-VP8KIT, Arjo Inc), Sphygmomanometer (DEKAMET MK3 ACCOSON), and Stethoscope (3M Littmann®Classic II S.E. Stethoscope) [30] as a ratio of ankle systolic pressure and brachial systolic pressure. The ABI is assessed during the clinic visit in the morning hours after the patient rests for five minutes in a supine position on a plinth in a private room. Both arms were measured simultaneously then followed by both ankles. The arm with the highest brachial systolic pressure was used for ABI calculation. Brachial pressure was measured with the patient in the supine position. An appropriate blood pressure cuff linked to a sphygmomanometer was wrapped around the arm, with the arm at the level of the heart. The stethoscope was placed on the antecubital fossa over the participant’s brachial pulse. The cuff was inflated to about 180 mmHg. Then slowly deflate the cuff, not faster than 3 mmHg/sec. The first Korotkoff sound was recorded as the brachial systolic pressure. Ankle pressure was assessed placing the appropriate cuff linked to the sphygmomanometer just above the ankle or immediately proximal to the malleoli. Ultrasound gel was placed on the skin overlying the dorsalis pedis (DP) artery in the foot. We locate the Doppler signal of the DP slightly lateral to the midline of the dorsum of the foot with a handheld 8 MHz vascular Doppler. We slowly move the Doppler until the strongest signal is heard. The cuff was inflated until the signal disappeared. Then the cuff was slowly deflated until the Doppler signal reappeared. This was recorded as the ankle systolic pressure measurement. ABI was used to determine the presence or absence of arterial disease for both legs. ABI value < 0.90 was set as the presence of peripheral arterial disease (PAD) [31]. Both legs were used for analysis by categorizing it as the presence of PAD in at least one limb or both and no PAD. For mediation analysis, the continuous variable of ABI was used, and the mean values of both legs were used in addition to the right and left leg separately.

Short Form 12 (SF-12) questionnaire was used to assess health-related quality of life. It consists of 12 items, six each from physical and mental summary measures. The score ranges from 0 (the worst) to 100 (the best), with higher scores associated with the highest levels of quality of life. Its validity has been established among the Nigerian population [32].

A standardized validated questionnaire, a short form of the Changes in Sexual Functioning Questionnaire (CSFQ-14) was utilized to evaluate the sexual functioning of the participants. It consists of 14 items rated on a five-point Likert scale of frequency (1 = never to 5 = every day/always) to assess behavior or problems during phases of the sexual response cycle. This instrument had been validated in ill health and among healthy people with Cronbach’s alphas coefficient of 0.87 [33, 34].

Data analysis

Data was tested for normal distribution. Shapiro-Wilk test of normality indicated that sexual functioning, quality of life, fasting blood sugar, and peripheral arterial disease data were not normally distributed (p < 0.001). IBM Statistical Package for Social Science (SPSS) version 28 (SPSS Inc., Chicago, IL) was used to analyze the data. The p-value was set at 0.05.

Descriptive statistics of mean, mean rank, standard deviation, and percentage were used to summarize the data. Mann-Whitney U test was used to assess differences in sexual functioning and quality of life between participants with good and poor glycemic control as well as differences in sexual functioning and quality of life between the presence and absence of PAD.

Spearman’s correlation was used to assess the relationship between sexual functioning, quality of life, FBG, and PAD. Model 4 of Hayes PROCESS Macro was used to assess the mediating effect of FBG and PAD on the relationship between sexual functioning and quality of life. The model has a continuous dependent variable as HRQoL, a continuous independent variable as sexual functioning, continuous mediators of FBG, and PAD.

Results

Two hundred and ten (210) subjects participated in the study. There were more females (71.4%), mostly married (70%) with mean age of 59.7 ± 11.6 years. About half of study participants achieved good glycemic control (49.5%) while 71 (33.8%) have PAD in at least one limb (Fig. 1).

Fig. 1
figure 1

Sociodemographic and clinical characteristics of the participants (N = 210)

Table 1 shows the health-related quality of life (HRQoL) and sexual functioning stratified by glycemic control and PAD. A significant difference was demonstrated among participants who have good and poor glycemic control in overall quality of life (mean rank = 111.02 vs. 93.64, p = 0.035) and its mental composite domain (mean rank = 111.53 vs. 93.11, p = 0.026). This indicates that participants with good glycemic control have better HRQoL than those with poor glycemic control. There were no significant differences in the mean ranks of sexual functioning and HRQoL of participants with and without PAD (p > 0.05). However, participants with no PAD demonstrated insignificant higher values or better HRQoL and sexual functioning than those with PAD.

Table 1 Health-related quality of life and sexual functioning by glycemic control and peripheral arterial disease

Table 2 shows correlation matrixes between sexual functioning, quality of life, FBG, and PAD. There was a significant correlation between sexual functioning and quality of life (r = 0.181, CI = 0.043–0.313, p = 0.008). A significant negative correlation exists between quality of life and FBG (r = -0.149, CI = -0.284 - -0.008, p = 0.033).

Table 2 Spearman’s correlation matrixes between sexual functioning, health-related quality of life, fasting blood glucose and peripheral arterial disease (N = 210)

The study assessed the mediating role of FBG and PAD on the relationship between sexual functioning and HRQoL. Table 3 shows the mediation analysis for the mean values of ABI to report PAD and also provides a summary of the overall model with R2 = 7.99% (p < 0.001). The results revealed a significant indirect effect of impact of sexual functioning on HRQoL through FBG (b = -0.027, t = -0.899). This indicates that FBG mediates the relationship between sexual functioning and HRQoL. The study also found a significant indirect effect of impact of sexual functioning on HRQoL through PAD (b = 0.034, t = 1.246). This indicates that PAD mediates the relationship between sexual functioning and HRQoL. Furthermore, the direct effect of sexual functioning on HRQoL in the presence of the mediators was also found to be significant (b = 0.483, p = 0.001). Hence, both FBG and PAD partially mediated the relationship between sexual functioning and HRQoL (Table 3). The results were similar when using ABI values for each of right and left leg (Table S1 and Table S2).

Table 3 Mediating effect of fasting blood glucose and peripheral arterial disease (mean of both legs) on sexual functioning and health-related quality of life (N = 204)

The FBG (b = -0.071, t = -1.325) and PAD (b = 0.033, t = 0.846) independently mediate (indirect effect) the relationship between sexual functioning and HRQoL among females when the data was stratified by sex (Table S3). Also, the direct effect of sexual functioning on HRQoL in the presence of the mediators was significant among females (b = 0.601, p = 0.002). Comparable results were demonstrated for the right and left legs (Table S4 and Table S5).

Discussion

In this cross-sectional study of 210 subjects with T2DM, individuals with good glycemic control have better HRQoL and mental health than those with poor glycemic control. This was consistent with previous studies which reported that poor glycemic control impaired HRQoL [10,11,12]. This suggests that maintaining good glycemic control is essential for better HRQoL among individuals with T2DM. Therefore, health professionals involved in diabetes management should strive to formulate and promote management that enhances glycemic control for optimum HRQoL. This is necessary as about half (50.5%) of present study participants have not achieved optimum glycemic control. Generally, about 65% of Nigerians with diabetes have been reported to attain optimum glycemic control [35, 36]. HRQoL was not significantly different whether there was the presence or absence of PAD in our subjects. However, individuals without PAD showed better HRQoL than those who have PAD though not significant. Studies have suggested that individuals with PAD are at increased risk of poorer HRQoL and that PAD is an independent predictor of poor quality of life [9, 22]. About one-third of participants in the present study have PAD which corroborates the previous findings among Nigerians with diabetes, reporting prevalence ranges between 22% and 40% of PAD [37,38,39].

Our data indicates no significant differences in sexual functioning between individuals with good and or poor glycemic control. This was at variance with previous studies which reported that people with poor glycemic have greater odds of sexual dysfunction [40,41,42,43]. The present study relied on FBG to stratify good or poor glycemic control while all those previous studies used glycated hemoglobin (HbA1c) to assess the participants. This may account for differences in our findings, as the HbA1c has shown high sensitivity in screening sexual dysfunction in high-risk individuals [42]. The presence or absence of PAD in the present study participants indicated no significant difference in sexual functioning. Although not significant, individuals without PAD exhibited higher sexual function values than those who have PAD. Literature search suggests that presence of PAD impaired sexual function among individuals with T2DM and that the presence of PAD is an independent predictor of sexual dysfunction [44, 45]. PAD is reported as a modifiable risk factor for erectile dysfunction in men [44]. Therefore, efforts should be directed at mitigating the occurrence of PAD among individuals with T2DM for optimum care and improved sexual function.

One of the key findings of the present study is the significant relationship between sexual functioning and quality of life in our subjects. The better the sexual function, the better the quality of life of individuals with diabetes. The mediation analysis further confirmed this positive relationship. Lower sexual functioning significantly impacts HRQoL of the participants. This is in tandem with previous studies that reported a positive correlation between sexual functioning and HRQoL and that erectile dysfunction predicted poor HRQoL [18, 20, 21]. Again, this serves as pointer that all health professionals involved in the management of people with diabetes should strive to engage patients in sexual health for optimum HRQoL. This study also observes a significant negative correlation between FBG and HRQoL. This suggests the higher the FBG the poorer the HRQoL. This is in tandem with a previous study in multi-linear regression reporting a negative correlation and reported uncontrolled FBG as predicting poor HRQoL [12].

One of the principal aims of this study is to assess the mediating effect of FBG and PAD on the relationship between sexual functioning and HRQoL. Results from this study suggest that PAD mediates the relationship between sexual functioning and HRQoL. This suggests that if PAD, a modifiable risk factor can be delayed in individuals with T2DM, it can enhance better HRQoL in the presence of sexual dysfunction. FBG also mediates the relationship between sexual functioning and HRQoL suggesting the need for optimal glycemic control.

This study results also indicate that the interaction of both PAD and FBG mediated the relationship between sexual functioning and HRQoL. This may suggest that delayed onset of PAD in addition to good glycemic control may confer better HRQoL on individuals with T2DM even though there is sexual dysfunction. While the presence of PAD and poor glycemic control have been shown to be independent predictors of sexual dysfunction and poor HRQoL, poor glycemic control can result in macrovascular complications like PAD and sexual dysfunction which can subsequently impact HRQoL [9, 22, 46, 47]. These results reinforce the need for a strategy to formulate effective management among individuals with T2DM who are experiencing sexual dysfunction for optimal glycemic control to delay PAD and in effect mitigate the negative outcome of sexual dysfunction on their HRQoL. Another observation from the present study is that the total and direct effects of mediators on the relationship between sexual functioning and HRQoL are stronger among women. This may suggest that optimal glycemic control in the absence of PAD may improve sexual function and confer better HRQoL among women.

To our knowledge, this study seems to be the first to assess the mediating effect of FBG and PAD on the relationship between sexual functioning and HRQoL among Nigerians with T2DM. This study has suggested that these modifiable factors (FBG and PAD) can mediate the influence of sexual dysfunction on HRQoL. This may open a new focus of target of management among patients with diabetes who have sexual dysfunction complications. Management that delays the onset of PAD and optimum glycemic may confer better HRQoL in the presence of sexual dysfunction. However, the results of the present study must be interpreted with caution as some limitation exists. The study was conducted in a single center which may limit the generalizability of the results. The cross-sectional nature of the study limited causal relationship. Despite these limitations, the results may serve as preliminary and point the attention of health professionals involved in the management of diabetes to the possible risk factors that can be mitigated to improve HRQoL and optimum care outcomes.

In conclusion, good glycemic control and absence of PAD mediates the relationship between sexual functioning and quality of life of Nigerians with T2DM. In effect, good glycemic control and delayed onset of PAD may confer better quality of life even in presence of sexual dysfunction.

Data availability

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

Abbreviations

HRQoL:

Health-Related Quality of Life

FBG:

Fasting Blood Glucose

PAD:

Peripheral arterial disease

SF-12:

Short Form 12

SeF:

Sexual Functioning

T2DM:

Type 2 diabetes mellitus

ABI:

Ankle-brachial index

CSFQ-14:

Changes in Sexual Functioning Questionnaire

HbA1c:

Glycated hemoglobin

References

  1. Lin X, Xu Y, Pan X, Xu J, Ding Y, Sun X, et al. Global, regional, and national burden and trend of diabetes in 195 countries and territories: an analysis from 1990 to 2025. Sci Rep. 2020;10:14790.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  2. Cho NH, Shaw JE, Karuranga S, Huang Y, da Rocha Fernandes JD, Ohlrogge AW, et al. IDF Diabetes Atlas: global estimates of diabetes prevalence for 2017 and projections for 2045. Diabetes Res Clin Pract. 2018;138:271–81.

    Article  PubMed  CAS  Google Scholar 

  3. Khan MAB, Hashim MJ, King JK, Govender RD, Mustafa H, Al Kaabi J. Epidemiology of type 2 diabetes - global burden of Disease and Forecasted trends. J Epidemiol Glob Health. 2020;10:107–11.

    Article  PubMed  PubMed Central  Google Scholar 

  4. Magliano DJ, Boyko EJ, Committee IDA 10. th edition scientific. Diabetes by region. In: IDF DIABETES ATLAS [Internet]. 10th edition. International Diabetes Federation; 2021.

  5. Adeloye D, Ige JO, Aderemi AV, Adeleye N, Amoo EO, Auta A, et al. Estimating the prevalence, hospitalisation and mortality from type 2 diabetes mellitus in Nigeria: a systematic review and meta-analysis. BMJ Open. 2017;7:e015424.

    Article  PubMed  PubMed Central  Google Scholar 

  6. Lowry E, Rautio N, Karhunen V, Miettunen J, Ala-Mursula L, Auvinen J, et al. Understanding the complexity of glycaemic health: systematic bio-psychosocial modelling of fasting glucose in middle-age adults; a DynaHEALTH study. Int J Obes (Lond). 2019;43:1181–92.

    Article  PubMed  Google Scholar 

  7. Sepúlveda E, Poínhos R, Constante M, Pais-Ribeiro J, Freitas P, Carvalho D. Relationship between chronic complications, hypertension, and health-related quality of life in Portuguese patients with type 2 diabetes. Diabetes Metab Syndr Obes. 2015;8:535–42.

    Article  PubMed  PubMed Central  Google Scholar 

  8. Tan MHP, Ong SC, Vasan Thakumar A, Mustafa N. Quantifying health-related quality of life in Malaysian type 2 diabetes: focusing on complication types and severity. Qual Life Res. 2023;32:1925–41.

    Article  PubMed  Google Scholar 

  9. Tan MHP, Ong SC, Bujang MA, Shah SA, Mustafa N. Evaluation of the health-related quality of life of patients with type 2 diabetes in relation to macrovascular and microvascular complications. Acta Diabetol. 2023. https://doiorg.publicaciones.saludcastillayleon.es/10.1007/s00592-023-02164-2.

    Article  PubMed  Google Scholar 

  10. Rodríguez-Almagro J, García-Manzanares Á, Lucendo AJ, Hernández-Martínez A. Health-related quality of life in diabetes mellitus and its social, demographic and clinical determinants: a nationwide cross-sectional survey. J Clin Nurs. 2018;27:4212–23.

    Article  PubMed  Google Scholar 

  11. Alshayban D, Joseph R. Health-related quality of life among patients with type 2 diabetes mellitus in Eastern Province, Saudi Arabia: a cross-sectional study. PLoS ONE. 2020;15:e0227573.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  12. Natarajan J, Mokoboto-Zwane S. Health-related quality of life and domain-specific Associated factors among patients with Type2 diabetes Mellitus in South India. Rev Diabet Stud. 2022;18:34–41.

    Article  PubMed  PubMed Central  Google Scholar 

  13. Aoto H, Tanimura C, Majbauddin A, Kobayashi N, Morita T, Inoue K, et al. A conceptual model for quality of life among people with type 2 diabetes in the Philippines. Yonago Acta Med. 2019;62:53–61.

    Article  PubMed  PubMed Central  Google Scholar 

  14. Obaid ZM, Amer AW, Zaky MS, Elhenawy RM, Megahed AEM, Hanafy NS, et al. Prevalence of female sexual dysfunction among diabetic females: a cross-sectional case controlled study. Postgrad Med. 2022;134:680–5.

    Article  PubMed  CAS  Google Scholar 

  15. Bąk E, Marcisz C, Krzemińska S, Dobrzyn-Matusiak D, Foltyn A, Drosdzol-Cop A. Relationships of sexual dysfunction with Depression and Acceptance of illness in women and men with type 2 diabetes Mellitus. Int J Environ Res Public Health. 2017;14:E1073.

    Article  Google Scholar 

  16. Ezeani I, Onyeonoro U, Ugwu E. Evaluation of female sexual function in persons with type 2 diabetes Mellitus seen in a Tertiary Hospital in Southeast Nigeria with emphasis on its frequency and predictors. J Sex Marital Ther. 2020;46:170–6.

    Article  PubMed  Google Scholar 

  17. Kouidrat Y, Pizzol D, Cosco T, Thompson T, Carnaghi M, Bertoldo A, et al. High prevalence of erectile dysfunction in diabetes: a systematic review and meta-analysis of 145 studies. Diabet Med. 2017;34:1185–92.

    Article  PubMed  CAS  Google Scholar 

  18. Malavige LS, Jayaratne SD, Kathriarachchi ST, Sivayogan S, Ranasinghe P, Levy JC. Erectile dysfunction is a strong predictor of poor quality of life in men with type 2 diabetes mellitus. Diabet Med. 2014;31:699–706.

    Article  PubMed  CAS  Google Scholar 

  19. Avasthi A, Grover S, Bhansali A, Dash RJ, Gupta N, Sharan P, et al. Erectile dysfunction in diabetes mellitus contributes to poor quality of life. Int Rev Psychiatry. 2011;23:93–9.

    Article  PubMed  Google Scholar 

  20. De Berardis G, Pellegrini F, Franciosi M, Belfiglio M, Di Nardo B, Greenfield S, et al. Longitudinal assessment of quality of life in patients with type 2 diabetes and self-reported erectile dysfunction. Diabetes Care. 2005;28:2637–43.

    Article  PubMed  Google Scholar 

  21. De Berardis G, Franciosi M, Belfiglio M, Di Nardo B, Greenfield S, Kaplan SH, et al. Erectile dysfunction and quality of life in type 2 diabetic patients: a serious problem too often overlooked. Diabetes Care. 2002;25:284–91.

    Article  PubMed  Google Scholar 

  22. Oka RK, Sanders MG. The impact of type 2 diabetes and peripheral arterial disease on quality of life. J Vasc Nurs. 2005;23:61–6. quiz 67–8.

    Article  PubMed  Google Scholar 

  23. Shetty A, Afroz A, Ali L, Siddiquea BN, Sumanta M, Billah B. Health-related quality of life among people with type 2 diabetes mellitus - A multicentre study in Bangladesh. Diabetes Metab Syndr. 2021;15:102255.

    Article  PubMed  CAS  Google Scholar 

  24. Venkataraman K, Wee HL, Leow MKS, Tai ES, Lee J, Lim SC, et al. Associations between complications and health-related quality of life in individuals with diabetes. Clin Endocrinol (Oxf). 2013;78:865–73.

    Article  PubMed  CAS  Google Scholar 

  25. Aschalew AY, Yitayal M, Minyihun A. Health-related quality of life and associated factors among patients with diabetes mellitus at the University of Gondar referral hospital. Health Qual Life Outcomes. 2020;18:62.

    Article  PubMed  PubMed Central  Google Scholar 

  26. Choi GW, Chang SJ. Correlation of health-related quality of life for older adults with diabetes mellitus in South Korea: theoretical approach. BMC Geriatr. 2023;23:491.

    Article  PubMed  PubMed Central  Google Scholar 

  27. Lygidakis C, Uwizihiwe JP, Bia M, Uwinkindi F, Kallestrup P, Vögele C. Quality of life among adult patients living with diabetes in Rwanda: a cross-sectional study in outpatient clinics. BMJ Open. 2021;11:e043997.

    Article  PubMed  PubMed Central  Google Scholar 

  28. World Health Organization. HEARTS D: diagnosis and management of type 2 diabetes. World Health Organization; 2020.

  29. Charan J, Biswas T. How to calculate sample size for different study designs in medical research? Indian J Psychol Med. 2013;35:121–6.

    Article  PubMed  PubMed Central  Google Scholar 

  30. Verma MK, Gangwar V, Jasrotia RB, John NA. Assessment of peripheral artery disease risk in building construction workers by Ankle-Brachial index measurement with automated oscillometric and hand-held Doppler device. J Family Med Prim Care. 2022;11:139–43.

    Article  PubMed  PubMed Central  Google Scholar 

  31. Benchimol D, Pillois X, Benchimol A, Houitte A, Sagardiluz P, Tortelier L, et al. Accuracy of ankle-brachial index using an automatic blood pressure device to detect peripheral artery disease in preventive medicine. Arch Cardiovasc Dis. 2009;102:519–24.

    Article  PubMed  Google Scholar 

  32. Mbada CE, Awokoya AS, Oyewole OO, Idowu OA, Akinsulore A, Fatoye C, et al. Translation, cross-cultural adaptation and psychometric evaluation of yoruba version of the short-form 12 health survey. Ann Ig. 2021;33:254–67.

    PubMed  CAS  Google Scholar 

  33. Getie Mekonnen E, Yeshita HY, Bishaw Geremew A. Sexual dysfunction among men with diabetes mellitus attending chronic out-patient department at the three hospitals of Northwest Amhara region, Ethiopia: prevalence and associated factors. PLoS ONE. 2021;16:e0256015.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  34. Keller A, McGarvey EL, Clayton AH. Reliability and construct validity of the changes in sexual functioning questionnaire short-form (CSFQ-14). J Sex Marital Ther. 2006;32:43–52.

    Article  PubMed  Google Scholar 

  35. Mustafa IO, Tanko Y, Yusuf R, Musa SA. The use of glycated haemoglobin (HbA1C) in determining glycemic control (and relevance of BMI) in diabetic patients in Ahmadu Bello University Teaching Hospital Zaria, Nigeria. Diabetes & Metabolic Syndrome: Clinical Research & Reviews. 2019;13:2967–72.

  36. Jackson IL, Onung SI, Oiwoh EP. Self-care activities, glycaemic control and health-related quality of life of patients with type 2 diabetes in a tertiary hospital in Nigeria. Diabetes & Metabolic Syndrome: Clinical Research & Reviews. 2021;15:137–43.

  37. Soyoye DO, Ikem RT, Kolawole BA, Oluwadiya KS, Bolarinwa RA, Adebayo OJ. Prevalence and correlates of peripheral arterial disease in nigerians with type 2 diabetes. Adv Med. 2016;2016:3529419.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  38. Umuerri EM, Obasohan AO. Lower extremity peripheral artery disease: prevalence and risk factors among adult nigerians with diabetes mellitus. West Afr J Med. 2013;32:200–5.

    PubMed  CAS  Google Scholar 

  39. Ogbera AO, Adeleye O, Solagberu B, Azenabor A. Screening for peripheral neuropathy and peripheral arterial disease in persons with diabetes mellitus in a Nigerian University Teaching Hospital. BMC Res Notes. 2015;8:533.

    Article  PubMed  PubMed Central  Google Scholar 

  40. Romeo JH, Seftel AD, Madhun ZT, Aron DC. Sexual function in men with diabetes type 2: association with glycemic control. J Urol. 2000;163:788–91.

    Article  PubMed  CAS  Google Scholar 

  41. Ahmed I, Aamir A, ul H, Anwar E, Ali SS, Ali A, Ali A. Erectile dysfunction and type 2 diabetes mellitus in northern Pakistan. J Pak Med Assoc. 2013;63:1486–90.

    PubMed  Google Scholar 

  42. Awad H, Salem A, Gadalla A, El Wafa NA, Mohamed OA. Erectile function in men with diabetes type 2: correlation with glycemic control. Int J Impot Res. 2010;22:36–9.

    Article  PubMed  CAS  Google Scholar 

  43. Tamrakar D, Bhatt DS, Sharma VK, Poudyal AK, Yadav BK. Association between Erectile Dysfunction and Type 2 diabetes Mellitus. J Nepal Health Res Counc. 2021;19:378–83.

    PubMed  Google Scholar 

  44. Nutalapati S, Ghagane SC, Nerli RB, Jali MV, Dixit NS. Association of erectile dysfunction and type II diabetes mellitus at a tertiary care centre of south India. Diabetes Metab Syndr. 2020;14:649–53.

    Article  PubMed  Google Scholar 

  45. Ndang Ngou Milama S, Mougougou A, Olagui SG, Mbethe D, Nsame D, Boundama HG, et al. Analysis of the factors Associated with ED in type 2 diabetics at the University Hospital of Libreville. Sex Med. 2022;10:100564.

    Article  PubMed  PubMed Central  Google Scholar 

  46. Zeleke M, Hailu D, Daka D. Erectile dysfunction and associated factors among diabetic patients at, Hawassa, Southern, Ethiopia. BMC Endocr Disord. 2021;21:139.

    Article  PubMed  PubMed Central  Google Scholar 

  47. Parmar RS, Verma S, Neelkamal null, Pathak VK, Bhadoria AS. Prevalence of erectile dysfunction in type 2 diabetes mellitus (T2DM) and its predictors among diabetic men. J Family Med Prim Care. 2022;11:3875–9.

    Article  PubMed  PubMed Central  Google Scholar 

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Acknowledgements

We thank all the participants and the staff of physiotherapy department and diabetes clinic for their support in data collection.

Funding

There was no external funding for this study.

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Contributions

Olufemi Oyewole, Ayotunde Ale, and Olatunde Odusan contributed to the concept of this study. Olufemi Oyewole, Ayotunde Ale, Olatunde Odusan, Ayanbola Adepoju and Grace Emmanuel made substantial contributions to the design and acquisition of data. Olufemi Oyewole performed the statistical analysis and drafted the article. Olufemi Oyewole, Ayotunde Ale, Olatunde Odusan, Ayanbola Adepoju, Olufunmilayo Oyewole, Michael Ogunlana and Grace Emmanuel contributed to its critical revision. All authors approved the final manuscript for publication.

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Correspondence to Olufemi O. Oyewole.

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Informed consent was obtained from all the participants prior to recruitment and those who consented gave written informed consent. Olabisi Onabanjo University Teaching Hospital Health Research Ethics Committee approved the study (Approval no: OOUTH/HREC/472/2021AP). The study was conducted in adherence to the ethical principles of the Declaration of Helsinki.

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Not applicable.

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The authors declare no competing interests.

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Oyewole, O.O., Ale, A.O., Adepoju, A.I. et al. Mediating effect of fasting blood glucose and peripheral arterial disease on the relationship between sexual functioning and health-related quality of life among Nigerians with type 2 diabetes. BMC Endocr Disord 24, 247 (2024). https://doiorg.publicaciones.saludcastillayleon.es/10.1186/s12902-024-01784-1

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