Assessment of Sleep Duration, Behavioral Habits and Factors Associated with Sleep Disorders Among Diabetic Patients in the Mopti Region, Mali, 2022

Abdoul Salam Diarra; Mohamed Diarra; Dramane Toure; Oumar Sangho; Salia Keita; Bakary Diarra; Housseini Dolo; Cheick Abou Coulibaly; Nouhoum Telly; Fanta Sangho; Lancina Doumbia; Borodjan Diarra; Oumar Traore; Hamadoun Sangho

doi:doi:10.11648/j.sjph.20261402.16

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Assessment of Sleep Duration, Behavioral Habits and Factors Associated with Sleep Disorders Among Diabetic Patients in the Mopti Region, Mali, 2022

Abdoul Salam Diarra^*

, Mohamed Diarra

, Dramane Toure

, Oumar Sangho

, Salia Keita

, Bakary Diarra

, Housseini Dolo

, Cheick Abou Coulibaly

, Nouhoum Telly

, Fanta Sangho

, Lancina Doumbia

, Borodjan Diarra

, Oumar Traore

, Hamadoun Sangho

Published in Science Journal of Public Health (Volume 14, Issue 2)

Received: 22 March 2026 Accepted: 10 April 2026 Published: 23 April 2026

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Abstract

Sleep disorders constitute a major public health concern due to their high frequency and their impact on alertness and overall health. The objective of this study was to assess sleep disorders and factors associated among diabetic patients attending public healthcare facilities in the Mopti Region in 2022. Methodology: A cross sectional study was conducted from March 1 to August 31, 2022. The study population was diabetic patients attending healthcare facilities in the Mopti region. Patients aged 18 years and older, attending public healthcare facilities and who provided informed consent, were included. A total of 289 patients were included in the study. Data were collected using a standardized questionnaire, including the Berlin Questionnaire, and were analyzed using SPSS software version 25. Results: The mean age of participants was 51.59 ± 11.39 years. Type 2 diabetes accounted for 66.9% of cases. The mean body mass index (BMI) was 27.62 ± 4.26 kg/m², and the mean sleep duration was 5.76 ± 1.43 hours per day. A high risk of obstructive sleep apnea syndrome (OSAS) was observed in 92.4% of participants. Variables statistically associated with the dependent variable (OSAS) included high blood pressure (OR = 52.4; 95% CI: 1.63–16.8), Tobacco no use (OR = 0.04; 95% CI: 0.03–0.70) and BMI ≥ 25 (OR = 3; 95% CI: 1.20–7.50) Conclusion: This study reveals a high frequency of sleep disorders among diabetic patients in the Mopti region. A nationwide study is warranted to better estimate the prevalence of this condition and to inform the implementation of effective control strategies. These findings highlight the need for large-scale national studies to more accurately estimate the burden of this condition and to guide the implementation of effective prevention and control strategies.

Published in	Science Journal of Public Health (Volume 14, Issue 2)
DOI	10.11648/j.sjph.20261402.16
Page(s)	105-113
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2026. Published by Science Publishing Group

Keywords

Sleep Disorders, Obstructive Sleep Apnea, Diabetes Mellitus, Obesity, Mali

1. Introduction

Sleep disorders encompass a group of conditions characterized by disturbances in the quantity, quality, or timing of sleep, resulting in impaired daytime functioning

[1, 2]

. These disorders can have significant consequences for both physical and mental health, including fatigue, cognitive impairment, increased cardiovascular risk, and metabolic disturbances.

Sleep disorders constitute a major public health concern, affecting a substantial proportion of the global population. It is estimated that more than 45% of individuals’ worldwide experience sleep disorders to varying degrees

[3]

. Among patients with diabetes, sleep disorders, particularly obstructive sleep apnea syndrome (OSAS) are highly prevalent. The global prevalence of OSAS among patients with type 2 diabetes is estimated at approximately 54–56%

[4]

In Africa, sleep disorders are common but remain underdiagnosed. An African meta-analysis reported prevalence rates of OSAS ranging from 10.6% to 78% depending on the country

[5]

. In Mali, data are limited; however, a study conducted in 2015 among drivers in Bamako reported a prevalence of sleep disorders of 12.4%

[6]

. These findings highlight the need for better characterization and monitoring of sleep disorders in African populations, particularly among high-risk groups such as patients with diabetes.

Sleep plays a crucial role in maintaining physiological homeostasis across multiple body systems. The recommended average sleep duration is 7 to 9 hours for adults and 7 to 8 hours for older adults. Among patients with diabetes, sleep duration is frequently reduced to less than 6 hours, often due to associated sleep disorders

[7]

. Notably, average sleep duration has declined markedly during the second half of the 20th century, particularly in developed countries. This reduction has been partly attributed to demographic transitions, increased workload relative to available time, and the growing use of digital devices such as computers, mobile phones, and television, often accompanied by the perception of sleep as an unproductive period

[7]

Sleep disorders are associated with numerous adverse health outcomes, including increased risks of cardiovascular diseases, metabolic disorders, and mortality, as well as occupational and traffic accidents, and significant impairment in quality of life and productivity

[8]

Overall, the high prevalence, underdiagnosis, and multiple health consequences of sleep disorders, particularly among diabetic patients, underscore the importance of evaluating sleep patterns and associated factors in this population. Therefore, we conducted this study with the objective of evaluating the frequency of sleep disorders and the factors associated with obstructive sleep apnea syndrome among diabetic patients in the Mopti region of Mali.

2. Methods

2.1. Study Type and Period

A cross-sectional study was conducted from March 1 to August 31, 2022.

2.2. Sitting of Study

This study was conducted in the Mopti region, which is the fifth administrative region of Mali. Prior to the recent administrative reorganization, it comprised eight health districts, four located in flood-prone areas and four in non-flooded areas (Figure 1).

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Figure 1. Health map of the Mopti region, 2022 (Source: Mopti Regional Health Directorate).

2.3. Study Population

The study population consisted of diabetic patients admitted to public healthcare facilities in the Mopti region. The study sample consisted of adult diabetic patients receiving follow-up care in public healthcare facilities in the region.

2.3.1. Inclusion and Exclusion Criteria

The inclusion criteria were as follows:

1) Adult diabetic patients (aged 18 years or older);

2) Patients who attended the selected health facilities during the study period;

3) Diabetic patients receiving medical follow-up in public healthcare facilities;

4) Patients who provided verbal informed consent to participate in the study.

Patients who were unavailable during the survey period, those unable to respond to the questionnaire, and patients followed in private healthcare facilities were not included.

2.3.2. Sampling Method

In 2022, the Mopti region comprised eight referral health centers and one regional hospital, still referred to as the second-level referral hospital, in addition to community health centers.

A random selection of four referral health centers was performed. The second-level referral hospital was purposively included to enhance the representativeness of the study sample.

All eligible patients meeting the inclusion criteria were consecutively recruited from the selected facilities, yielding a final sample size of 289 participants.

2.4. Variables

The primary outcome variable was obstructive sleep apnea syndrome (OSAS). Explanatory variables included sociodemographic characteristics (age, sex, income level, marital status, educational level, health insurance coverage, and place of residence), clinical variables (type and duration of diabetes, and comorbidities such as hypertension, cardiovascular disease, dyslipidemia, and nephropathy), and behavioral factors (physical activity, tobacco use, and alcohol consumption).

2.5. Data Collection Procedures and Instruments

Data on medical history and results of complementary investigations were obtained from consultation registers and patients’ medical records.

Data collection was conducted using a standardized questionnaire, including the validated Berlin Questionnaire for OSAS screening

[9]

. This instrument comprises 11 items organized into three domains: snoring, daytime sleepiness and associated risk factors, including a history of hypertension and obesity.

Each domain was considered positive if the score was ≥2. Participants were categorized as high risk for OSAS if two or more domains were positive and as low risk if zero or one domain was positive.

A presumptive diagnosis of OSAS was assigned to participants classified as high risk according to the Berlin Questionnaire.

The questionnaires were administered through face-to-face interviews.

2.6. Data Analysis

Data were analyzed using SPSS software version 20. First, a descriptive analysis was performed, with quantitative variables presented as means ± standard deviations and qualitative variables as percentages. Next, a bivariate analysis was conducted to identify factors associated with the dependent variable. The Chi-square test, Fisher’s exact test, and ANOVA were used as appropriate. Finally, a multivariate analysis using binary logistic regression was performed to identify factors independently associated with the dependent variable. The significance level was set at 0.05.

2.7. Ethical Considerations

For this study, approval was obtained from the administrative authorities of the Mopti Regional Health Directorate as well as from the health centers involved in the study. Confidentiality regarding access to and protection of personal data was ensured, and access to personally identifiable information was strictly limited to the study investigators. Survey forms were coded, and verbal informed consent was obtained from all participants.

3. Results

3.1. Sociodemographic Characteristics

The mean age of participants was 51.59 ± 11.39 years. Females accounted for 70.9% of the study population, and type 2 of diabetes represented 66.9% of cases. Most participants were married (71.8%), illiterate (61.4%), and resided in urban areas (88.6%).

The mean monthly income was 2,238.46 ± 847.87 CFA francs (Table 1).

Table 1. Distribution of patients according to sociodemographic characteristics.

Variables	n	%	Means ± SD*
Age (year) n= 196			51.59 ± 11.39
Sex (n=196)
Male	57	29.1
Female	139	70.9
Marital Status (n=195)
Single	9	4.6
Married	140	71.8
Divorced	4	2.1
Widowed	42	21.5
Level of Education (n=189)
None	116	61.4
Primary	47	24.9
Secondary	18	9.5
Tertiary	8	4.2
Residence (n=193)
Rural	22	11.4
Urban	171	88.6
Type of diabetes (n= 151)
Type 1	50	33.1
Type 2	101	66.9

SD*: Standard deviation; BMI*: Body Mass Index

3.2. Clinical Characteristics of Patients

The mean body mass index (BMI) was 27.62 ± 4.26 kg/m². The most common comorbidities were hypertension (72.8%), dyslipidemia (39.3%), nephropathy (26.5%), and cardiovascular diseases (12.5%).

3.3. Behavioral Habits of Participants

Among the participants, 165 (57.4%) provided responses regarding physical activity. Of these, 75.2% reported engaging in regular physical activity, and 38.9% exercised more than five times per week. The mean duration of physical activity was 72.33 ± 35.45 minutes per session.

More than three-quarters (76.9%) of respondents were non-smokers, and 96.0% reported no alcohol consumption. Additionally, 13.8% reported the use of other psychoactive substances (Table 2).

Table 2. Distribution of behavioral habits and Lifestyle of participants.

Variables	n	%	Means ± SD
Physical activity (n=165)
Yes	124	75.2
No	41	24.8
Frequency per week (n=128)
< 5	77	61.1
≥ 5	49	38.9
Duration per session (minutes) (n=118)			72.33 ± 35.45
Tobacco use (n=143)
Current smoker	8	5.6
Non-smoker	110	76.9
Former smoker	25	17.5
Alcohol consumption (n=125)
Consumer	1	0.8
Non-consumer	120	96.0
Former consumer	4	3.2
Other psychoactive substances
Cannabis (hashish) (n=136)	0	0.0
Kif (n=136)	1	0.7
Nefha (smokeless tobacco) (n=138)	15	10.9
Shisha (water pipe) (n=136)	3	2.2

3.4. Sleep Habits, Depressive Symptoms, and Sexual Health of Participants

Most participants (85.3%) reported sleeping less than 8 hours per day, with mean sleep duration of 5.76 ± 1.43 hours. More than half (66.2%) reported irregular sleep patterns, 75.9% reported taking daytime naps, and 51.6% reported moderate stress levels.

In terms of psychological symptoms, 88.8% of participants reported mood disturbances, 52.6% reported memory impairment, 84.7% reported increased irritability, and 47.2% reported difficulties with concentration (Table 3).

Table 3. Distribution of sleep habits, depressive symptoms, and sexual health of participants.

Variables	N	%	Means ± SD
Sleep habits
Sleep duration per day (hour) n= 191			5.76 ± 1.43
≥ 8 hours	28	14.7
˂ 8 hours	163	85.3
Time to fall asleep (minutes) n=178			57.16 ± 36.14
Regular sleep pattern (n= 195)
Yes	66	33.8
No	129	66.2
Daytime napping (siesta) (n=195)
Yes	148	75.9
No	47	24.1
Physical activity before sleep (n=189)
Yes	159	84.1
No	30	15.9
Stress level (n=192)
Low level	17	8.9
Medium level	99	51.6
High level	69	35.9
Very high	7	3.6
Depressive symptoms
Mood disturbances (n=196)
Yes	174	88.8
No	22	11.2
Memory impairment (n=192)
Yes	101	52.6
No	91	47.4
Irritability (n=196)
Yes	166	84.7
No	30	15.3
Difficulty concentrating (n=193)
Yes	91	47.2
No	102	52.8
Sexual health
Libido problems (n=168)
Yes	17	10.1
No	151	89.9

3.5. Factors Associated with Obstructive Sleep Apnea Syndrome

The explanatory variables significantly associated with the dependent variable (OSAS) were hypertension (OR = 5.24; 95% CI: 1.63–16.8), Tobacco no use (OR = 0.04; 95% CI: 0.03–0.70) and body mass index ≥ 25 kg/m² (OR = 3.0; 95% CI: 1.20–7.50) (Table 4).

Table 4. Factors Associated with Obstructive Sleep Apnea Syndrome (OSAS).

Variables	Low risk n (%)	High risk n (%)	p-value (Univariate)	Adjusted OR (aOR)	95% CI	p-value
Age (years), Mean ± SD	42.07 ± 13.73	52.39 ± 10.88	<0.001	1.1	0.9–1.1	0.09
Diabetes duration (years), Mean ± SD	5.65 ± 5.47	9.06 ± 5.73	0.02	1.1	0.9–1.3	0.08
Sex
Male	9 (6.5)	51 (89.5)	Ref	1	-	-
Female	6 (10.5)	129 (93.5)	0.37	0.3	0.06–1.4	0.12
Type of diabetes
Type 1	8 (7.9)	93 (92.1)	Ref	-	-	-
Type 2	3 (6.0)	47 (94.0)	1.00	-	-	-
Hypertension
No	14 (26.4)	39 (73.6)	Ref	1	-	-
Yes	1 (0.7)	141 (99.3)	<0.001	5.24	1.63–16.8	<0.001
Dyslipidemia
No	13 (10.9)	106 (89.1)	Ref	1	-	-
Yes	2 (2.6)	75 (97.4)	0.05	1.1	0.1–9.2	0.90
Cardiovascular disease
No	14 (8.0)	161 (92.0)	Ref	1	-	-
Yes	1 (4.8)	20 (95.2)	1.00	7.3	0.3–15.0	0.19
Intense physical activity (occupation)
Yes	8 (16.0)	42 (84.0)	Ref	1	-	-
No	6 (4.4)	130 (95.6)	<0.01	14.8	0.1–15.3	0.08
Tobacco use
Yes	3 (37.5)	5 (62.5)	Ref	1	-	-
No	11 (8.1)	124 (91.9)	0.03	0.04	0.03–0.70	0.02
Harmful substance use
No	10 (7.6)	122 (92.4)	-	-	-	-
Yes	3 (5.3)	54 (94.7)	0.75	-	-	-
Sleep duration ≤ 8 h/day
No	12 (7.4)	151 (92.6)	-	-	-	-
Yes	2 (7.1)	26 (92.9)	1.00	-	-	-
Sleep regularity
Yes	6 (9.1)	60 (90.9)	-	-	-	-
No	9 (7.0)	120 (93.0)	0.58	-	-	-
Mood disturbances
No	5 (22.7)	17 (77.3)	Ref	1	-	-
Yes	9 (5.2)	165 (94.8)	<0.01	0.2	0.02–2.9	0.29
Irritability
No	7 (23.3)	23 (76.7)	Ref	1	-	-
Yes	7 (4.2)	159 (95.8)	0.002	0.7	0.08–6.7	0.81
Difficulty concentrating
No	11 (10.8)	91 (89.2)	Ref	1	-	-
Yes	2 (2.2)	89 (97.8)	0.02	1.0	0.15–5.2	0.28
Body Mass Index (kg/m²)
< 25	12 (9.3)	117 (90.7)	Ref	1	-	-
≥ 25	3 (4.8)	59 (95.2)	0.39	3.0	1.20–7.50	0.04

M±SD*: Mean ± Standard deviation; aOR: Odds ratio adjusted

BMI*: Body Mass Index

4. Discussion

4.1. Sociodemographic Caracteristics

This study aimed to assess sleep disorders, particularly insomnia and obstructive sleep apnea syndrome (OSAS), as well as the factors associated with OSAS among diabetic patients.

The mean age of the participants was 51.59 ± 11.39 years, with a predominance of females. Several studies conducted on sleep disorders among diabetic patients have reported sociodemographic characteristics similar to ours

[10-12]

. The pathophysiological mechanism explaining the increase in sleep disorders with age is related to the progressive alteration of the circadian rhythm, decreased melatonin secretion, and increased sleep fragmentation. Studies have reported that the prevalence of obstructive sleep apnea syndrome (OSAS) and insomnia increases from approximately 10–20% in young adults to 30–48% after the age of 50

[13, 14]

. Regarding sex, numerous studies have shown that women experience more sleep disorders than men, particularly insomnia. This may be explained by psychosocial factors as well as hormonal factors, such as the decline in estrogen and progesterone levels during menopause. The literature reports that women have a 1.5 to 2 times higher risk of developing sleep disorders than men

[14, 15]

4.2. Sleep Duration and Regularity

The average sleep duration in adults corresponds to the number of hours of sleep required to maintain optimal physical, mental, and cognitive functioning. According to recommendations from the National Sleep Foundation and several international health organizations, this duration should range between 7 and 8 hours per night, while a sleep duration of less than 6 hours is classified as short sleep duration

[16, 17]

. In our study, the mean sleep duration was lower than the recommended level. This may be explained by the fact that our study population consisted of diabetic patients. Indeed, sleep duration can vary according to several factors, including age, sex, health status, lifestyle, stress, and chronic diseases. Insufficient sleep is generally associated with fatigue, cognitive disorders (such as memory and concentration problems), and mood disorders (including anxiety and depression), as also observed in our study.

Regarding sleep regularity, more than half of the participants (66.2%) reported irregular sleep habits. The literature indicates that diabetes and sleep regularity have a bidirectional relationship: irregular sleep patterns may disrupt glucose metabolism and increase the risk of diabetes, while diabetes itself may alter sleep rhythms

[18, 19]

. In our study, we were unable to determine whether diabetes was the cause of sleep irregularity or vice versa, although the frequency of obstructive sleep apnea syndrome (OSAS) was very high, as reported in several studies in the literature

[20]

4.3. Behavioral Habits of Participants

Behavioral factors, particularly engagement in appropriate physical activity and the avoidance of tobacco and alcohol consumption, play an important role in sleep quality and regularity, as well as in diabetes control. These behaviors may influence both the physiological mechanisms of sleep and glucose metabolism

[21, 22]

. In our study, three out of four participants reported engaging in regular physical activity, with a mean duration of 72.33 ± 35.45 minutes per session. Furthermore, the majority of participants (76.9%) were non-smokers, and almost all (96.0%) reported no alcohol consumption. These practices are encouraging, although the proportion remains relatively low for behaviors considered harmful to health.

4.4. Prevalence of Obstructive Sleep Apnea Syndrome and Associated Factors

The prevalence of a high risk of obstructive sleep apnea syndrome (OSAS) was remarkably high in our study. This may be explained by the fact that our study population consisted exclusively of diabetic patients, the majority of whom had comorbidities such as obesity and hypertension. Although the prevalence of a high risk of OSAS was higher among patients with type 2 diabetes than among those with type 1 diabetes, this difference was not statistically significant. Evidence regarding the relationship between type 1 diabetes and sleep disorders, particularly OSAS, remains limited. In contrast, most studies have focused on the association between OSAS and type 2 diabetes, given its higher prevalence

[23-26]

Numerous studies reported in the literature confirm that the risk of obstructive sleep apnea syndrome (OSAS) is strongly influenced by age and sex. These two factors act through anatomical, hormonal, and physiological mechanisms that alter upper airway patency during sleep

[27, 28]

. Several age-related changes, including reduced pharyngeal muscle tone, impaired neurological control of breathing, accumulation of peripharyngeal fat, and alterations in sleep architecture, contribute to upper airway obstruction

[29, 30]

. Moreover, Obstructive sleep apnea syndrome (OSAS) is generally more frequent in men than in women, particularly before menopause, due to the protective role of female hormones.

In our study, no statistically significant association was observed between high risk of OSAS and age in the multivariate analysis, although this association was significant in the univariate analysis. This discrepancy with the literature may be explained by the unequal distribution of men and women in our sample, resulting in limited statistical power for sex-related comparisons. However, our findings are consistent with previous studies regarding the associations between hypertension, smoking, and body mass index (BMI) with a high risk of OSAS. Several studies have identified overweight, particularly central obesity, as one of the most important risk factors for OSAS

[31, 32]

The underlying mechanism is that increased neck fat contributes to upper airway obstruction during sleep. In addition, the supine position and increased abdominal circumference reduce lung volume, further exacerbating hypoxia. OSAS is also associated with dysfunction in the neural control of upper airway muscles, which is necessary to maintain airway patency during sleep, although the precise role of obesity in this process remains unclear.

Consistent with our findings, the literature reports that smoking is a determinant of a high risk of obstructive sleep apnea syndrome (OSAS)

[33, 34]

. Tobacco use contributes to airway inflammation and sleep instability due to nocturnal nicotine withdrawal. In our study, certain characteristics, including the duration of diabetes, mood disorders, irritability, and difficulties in concentration, were significantly associated with a high risk of OSAS in the univariate analysis. These findings are consistent with previous reports

[35, 36]

, although the multivariate analysis did not show a statistically significant association between these factors and OSAS.

5. Conclusion

The study results showed a high frequency of sleep disorders (obstructive sleep apnea syndrome) among diabetic patients in the Mopti region. Factors independently associated with OSAS included high blood pressure, smoking status, and body mass index. Known consequences of sleep disorders include increased overall mortality, higher prevalence of certain chronic conditions (such as hypertension, type 2 of diabetes, depression, obesity, and cancer), increased risk of road traffic and occupational accidents, and a significant reduction in quality of life and productivity.

Further nationwide studies are needed to more estimates the frequency of this condition among diabetic patients and to inform the development and implementation of effective control strategies.

Abbreviations

OSAS	Sleep Apnea Syndrome
BMI	Body Mass Index

Acknowledgments

We thank Mopti Health Regional Director (Dr Sadio Sambala DIALLO) for his administrative support.

Author Contributions

Abdoul Salam Diarra: Conceptualization, Data curation, Formal analysis, Methodology, Software, Visualization, Writing – original draft, Validation

Mohamed Diarra: Conceptualization, Writing – original draft, Writing – review & editing, Visualization, Validation

Dramane Toure: Conceptualization, Writing – original draft, Writing – review & editing, Visualization, Validation

Oumar Sangho: Writing – review & editing, Visualization, Validation

Salia Keita: Data curation, Formal Analysis, Validation

Bakary Diarra: Visualization, Validation

Housseini Dolo: Visualization, Validation

Cheick Abou Coulibaly: Visualization, Validation

Nouhoum Telly: Visualization, Validation

Fanta Sangho: Visualization, Validation

Lancina Doumbia: Visualization, Validation

Borodjan Diarra: Visualization, Validation

Oumar Traore: Visualization, Validation

Hamadoun Sangho: Supervision, Validation

Conflicts of Interest

The authors declare no conflicts of interest.

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[23]	Ohkuma, T. et al. Association between sleep duration and urinary albumin excretion in patients with type 2 diabetes: the Fukuoka diabetes registry. PloS One 8, e78968 (2013). https://doi.org/10.1371/journal.pone.0078968
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Diarra, A. S., Diarra, M., Toure, D., Sangho, O., Keita, S., et al. (2026). Assessment of Sleep Duration, Behavioral Habits and Factors Associated with Sleep Disorders Among Diabetic Patients in the Mopti Region, Mali, 2022. Science Journal of Public Health, 14(2), 105-113. https://doi.org/10.11648/j.sjph.20261402.16

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ACS Style

Diarra, A. S.; Diarra, M.; Toure, D.; Sangho, O.; Keita, S., et al. Assessment of Sleep Duration, Behavioral Habits and Factors Associated with Sleep Disorders Among Diabetic Patients in the Mopti Region, Mali, 2022. Sci. J. Public Health 2026, 14(2), 105-113. doi: 10.11648/j.sjph.20261402.16

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AMA Style

Diarra AS, Diarra M, Toure D, Sangho O, Keita S, et al. Assessment of Sleep Duration, Behavioral Habits and Factors Associated with Sleep Disorders Among Diabetic Patients in the Mopti Region, Mali, 2022. Sci J Public Health. 2026;14(2):105-113. doi: 10.11648/j.sjph.20261402.16

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@article{10.11648/j.sjph.20261402.16,
  author = {Abdoul Salam Diarra and Mohamed Diarra and Dramane Toure and Oumar Sangho and Salia Keita and Bakary Diarra and Housseini Dolo and Cheick Abou Coulibaly and Nouhoum Telly and Fanta Sangho and Lancina Doumbia and Borodjan Diarra and Oumar Traore and Hamadoun Sangho},
  title = {Assessment of Sleep Duration, Behavioral Habits and Factors Associated with Sleep Disorders Among Diabetic Patients in the Mopti Region, Mali, 2022},
  journal = {Science Journal of Public Health},
  volume = {14},
  number = {2},
  pages = {105-113},
  doi = {10.11648/j.sjph.20261402.16},
  url = {https://doi.org/10.11648/j.sjph.20261402.16},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.sjph.20261402.16},
  abstract = {Sleep disorders constitute a major public health concern due to their high frequency and their impact on alertness and overall health. The objective of this study was to assess sleep disorders and factors associated among diabetic patients attending public healthcare facilities in the Mopti Region in 2022. Methodology: A cross sectional study was conducted from March 1 to August 31, 2022. The study population was diabetic patients attending healthcare facilities in the Mopti region. Patients aged 18 years and older, attending public healthcare facilities and who provided informed consent, were included. A total of 289 patients were included in the study. Data were collected using a standardized questionnaire, including the Berlin Questionnaire, and were analyzed using SPSS software version 25. Results: The mean age of participants was 51.59 ± 11.39 years. Type 2 diabetes accounted for 66.9% of cases. The mean body mass index (BMI) was 27.62 ± 4.26 kg/m², and the mean sleep duration was 5.76 ± 1.43 hours per day. A high risk of obstructive sleep apnea syndrome (OSAS) was observed in 92.4% of participants. Variables statistically associated with the dependent variable (OSAS) included high blood pressure (OR = 52.4; 95% CI: 1.63–16.8), Tobacco no use (OR = 0.04; 95% CI: 0.03–0.70) and BMI ≥ 25 (OR = 3; 95% CI: 1.20–7.50) Conclusion: This study reveals a high frequency of sleep disorders among diabetic patients in the Mopti region. A nationwide study is warranted to better estimate the prevalence of this condition and to inform the implementation of effective control strategies. These findings highlight the need for large-scale national studies to more accurately estimate the burden of this condition and to guide the implementation of effective prevention and control strategies.},
 year = {2026}
}

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TY  - JOUR
T1  - Assessment of Sleep Duration, Behavioral Habits and Factors Associated with Sleep Disorders Among Diabetic Patients in the Mopti Region, Mali, 2022
AU  - Abdoul Salam Diarra
AU  - Mohamed Diarra
AU  - Dramane Toure
AU  - Oumar Sangho
AU  - Salia Keita
AU  - Bakary Diarra
AU  - Housseini Dolo
AU  - Cheick Abou Coulibaly
AU  - Nouhoum Telly
AU  - Fanta Sangho
AU  - Lancina Doumbia
AU  - Borodjan Diarra
AU  - Oumar Traore
AU  - Hamadoun Sangho
Y1  - 2026/04/23
PY  - 2026
N1  - https://doi.org/10.11648/j.sjph.20261402.16
DO  - 10.11648/j.sjph.20261402.16
T2  - Science Journal of Public Health
JF  - Science Journal of Public Health
JO  - Science Journal of Public Health
SP  - 105
EP  - 113
PB  - Science Publishing Group
SN  - 2328-7950
UR  - https://doi.org/10.11648/j.sjph.20261402.16
AB  - Sleep disorders constitute a major public health concern due to their high frequency and their impact on alertness and overall health. The objective of this study was to assess sleep disorders and factors associated among diabetic patients attending public healthcare facilities in the Mopti Region in 2022. Methodology: A cross sectional study was conducted from March 1 to August 31, 2022. The study population was diabetic patients attending healthcare facilities in the Mopti region. Patients aged 18 years and older, attending public healthcare facilities and who provided informed consent, were included. A total of 289 patients were included in the study. Data were collected using a standardized questionnaire, including the Berlin Questionnaire, and were analyzed using SPSS software version 25. Results: The mean age of participants was 51.59 ± 11.39 years. Type 2 diabetes accounted for 66.9% of cases. The mean body mass index (BMI) was 27.62 ± 4.26 kg/m², and the mean sleep duration was 5.76 ± 1.43 hours per day. A high risk of obstructive sleep apnea syndrome (OSAS) was observed in 92.4% of participants. Variables statistically associated with the dependent variable (OSAS) included high blood pressure (OR = 52.4; 95% CI: 1.63–16.8), Tobacco no use (OR = 0.04; 95% CI: 0.03–0.70) and BMI ≥ 25 (OR = 3; 95% CI: 1.20–7.50) Conclusion: This study reveals a high frequency of sleep disorders among diabetic patients in the Mopti region. A nationwide study is warranted to better estimate the prevalence of this condition and to inform the implementation of effective control strategies. These findings highlight the need for large-scale national studies to more accurately estimate the burden of this condition and to guide the implementation of effective prevention and control strategies.
VL  - 14
IS  - 2
ER  -

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Author Information

Abdoul Salam Diarra

Department of Education and Research in Public Health and Specialties, University of Sciences, Techniques and Technologies of Bamako (USTTB), Bamako, Mali

Contact Email

http://orcid.org/0000-0003-3363-7860
Mohamed Diarra

Service of Pediatric, Health Referral Center, Mopti, Mali

http://orcid.org/0009-0006-9542-8617
Dramane Toure

Service of Pediatric, Health Referral Center of Kalaban Coro, Koulikoro, Mali

http://orcid.org/0009-0003-5735-0626
Oumar Sangho

Department of Education and Research in Public Health and Specialties, University of Sciences, Techniques and Technologies of Bamako (USTTB), Bamako, Mali

http://orcid.org/0000-0003-2856-0395
Salia Keita

Department of Education and Research in Public Health and Specialties, University of Sciences, Techniques and Technologies of Bamako (USTTB), Bamako, Mali

http://orcid.org/0009-0008-0647-9709
Bakary Diarra

Department of Education and Research in Public Health and Specialties, University of Sciences, Techniques and Technologies of Bamako (USTTB), Bamako, Mali

http://orcid.org/0009-0007-3335-3514
Housseini Dolo

Department of Education and Research in Public Health and Specialties, University of Sciences, Techniques and Technologies of Bamako (USTTB), Bamako, Mali

http://orcid.org/0000-0002-4234-3488
Cheick Abou Coulibaly

Department of Education and Research in Public Health and Specialties, University of Sciences, Techniques and Technologies of Bamako (USTTB), Bamako, Mali

http://orcid.org/0009-0004-5737-1993
Nouhoum Telly

Department of Education and Research in Public Health and Specialties, University of Sciences, Techniques and Technologies of Bamako (USTTB), Bamako, Mali

http://orcid.org/0000-0003-0976-152X
Fanta Sangho

Department of Education and Research in Public Health and Specialties, University of Sciences, Techniques and Technologies of Bamako (USTTB), Bamako, Mali

http://orcid.org/0009-0004-3162-9028
Lancina Doumbia

Department of Education and Research in Public Health and Specialties, University of Sciences, Techniques and Technologies of Bamako (USTTB), Bamako, Mali

http://orcid.org/0000-0002-7899-1356
Borodjan Diarra

Administrave Department, Regional Health Direction, Mopti, Mali

http://orcid.org/0009-0004-4134-8609
Oumar Traore

Sub-directorates of Health Establishments and Regulations, Directorate General of Health and Public Hygiene, Bamako, Mali

http://orcid.org/0009-0002-7434-0422
Hamadoun Sangho

Department of Education and Research in Public Health and Specialties, University of Sciences, Techniques and Technologies of Bamako (USTTB), Bamako, Mali

http://orcid.org/0000-0001-8636-8508

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Figure 1

Figure 1. Health map of the Mopti region, 2022 (Source: Mopti Regional Health Directorate).

Plain Text BibTeX RIS

APA Style

Diarra, A. S., Diarra, M., Toure, D., Sangho, O., Keita, S., et al. (2026). Assessment of Sleep Duration, Behavioral Habits and Factors Associated with Sleep Disorders Among Diabetic Patients in the Mopti Region, Mali, 2022. Science Journal of Public Health, 14(2), 105-113. https://doi.org/10.11648/j.sjph.20261402.16

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ACS Style

Diarra, A. S.; Diarra, M.; Toure, D.; Sangho, O.; Keita, S., et al. Assessment of Sleep Duration, Behavioral Habits and Factors Associated with Sleep Disorders Among Diabetic Patients in the Mopti Region, Mali, 2022. Sci. J. Public Health 2026, 14(2), 105-113. doi: 10.11648/j.sjph.20261402.16

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AMA Style

Diarra AS, Diarra M, Toure D, Sangho O, Keita S, et al. Assessment of Sleep Duration, Behavioral Habits and Factors Associated with Sleep Disorders Among Diabetic Patients in the Mopti Region, Mali, 2022. Sci J Public Health. 2026;14(2):105-113. doi: 10.11648/j.sjph.20261402.16

Copy | Download

@article{10.11648/j.sjph.20261402.16,
  author = {Abdoul Salam Diarra and Mohamed Diarra and Dramane Toure and Oumar Sangho and Salia Keita and Bakary Diarra and Housseini Dolo and Cheick Abou Coulibaly and Nouhoum Telly and Fanta Sangho and Lancina Doumbia and Borodjan Diarra and Oumar Traore and Hamadoun Sangho},
  title = {Assessment of Sleep Duration, Behavioral Habits and Factors Associated with Sleep Disorders Among Diabetic Patients in the Mopti Region, Mali, 2022},
  journal = {Science Journal of Public Health},
  volume = {14},
  number = {2},
  pages = {105-113},
  doi = {10.11648/j.sjph.20261402.16},
  url = {https://doi.org/10.11648/j.sjph.20261402.16},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.sjph.20261402.16},
  abstract = {Sleep disorders constitute a major public health concern due to their high frequency and their impact on alertness and overall health. The objective of this study was to assess sleep disorders and factors associated among diabetic patients attending public healthcare facilities in the Mopti Region in 2022. Methodology: A cross sectional study was conducted from March 1 to August 31, 2022. The study population was diabetic patients attending healthcare facilities in the Mopti region. Patients aged 18 years and older, attending public healthcare facilities and who provided informed consent, were included. A total of 289 patients were included in the study. Data were collected using a standardized questionnaire, including the Berlin Questionnaire, and were analyzed using SPSS software version 25. Results: The mean age of participants was 51.59 ± 11.39 years. Type 2 diabetes accounted for 66.9% of cases. The mean body mass index (BMI) was 27.62 ± 4.26 kg/m², and the mean sleep duration was 5.76 ± 1.43 hours per day. A high risk of obstructive sleep apnea syndrome (OSAS) was observed in 92.4% of participants. Variables statistically associated with the dependent variable (OSAS) included high blood pressure (OR = 52.4; 95% CI: 1.63–16.8), Tobacco no use (OR = 0.04; 95% CI: 0.03–0.70) and BMI ≥ 25 (OR = 3; 95% CI: 1.20–7.50) Conclusion: This study reveals a high frequency of sleep disorders among diabetic patients in the Mopti region. A nationwide study is warranted to better estimate the prevalence of this condition and to inform the implementation of effective control strategies. These findings highlight the need for large-scale national studies to more accurately estimate the burden of this condition and to guide the implementation of effective prevention and control strategies.},
 year = {2026}
}

Copy | Download

TY  - JOUR
T1  - Assessment of Sleep Duration, Behavioral Habits and Factors Associated with Sleep Disorders Among Diabetic Patients in the Mopti Region, Mali, 2022
AU  - Abdoul Salam Diarra
AU  - Mohamed Diarra
AU  - Dramane Toure
AU  - Oumar Sangho
AU  - Salia Keita
AU  - Bakary Diarra
AU  - Housseini Dolo
AU  - Cheick Abou Coulibaly
AU  - Nouhoum Telly
AU  - Fanta Sangho
AU  - Lancina Doumbia
AU  - Borodjan Diarra
AU  - Oumar Traore
AU  - Hamadoun Sangho
Y1  - 2026/04/23
PY  - 2026
N1  - https://doi.org/10.11648/j.sjph.20261402.16
DO  - 10.11648/j.sjph.20261402.16
T2  - Science Journal of Public Health
JF  - Science Journal of Public Health
JO  - Science Journal of Public Health
SP  - 105
EP  - 113
PB  - Science Publishing Group
SN  - 2328-7950
UR  - https://doi.org/10.11648/j.sjph.20261402.16
AB  - Sleep disorders constitute a major public health concern due to their high frequency and their impact on alertness and overall health. The objective of this study was to assess sleep disorders and factors associated among diabetic patients attending public healthcare facilities in the Mopti Region in 2022. Methodology: A cross sectional study was conducted from March 1 to August 31, 2022. The study population was diabetic patients attending healthcare facilities in the Mopti region. Patients aged 18 years and older, attending public healthcare facilities and who provided informed consent, were included. A total of 289 patients were included in the study. Data were collected using a standardized questionnaire, including the Berlin Questionnaire, and were analyzed using SPSS software version 25. Results: The mean age of participants was 51.59 ± 11.39 years. Type 2 diabetes accounted for 66.9% of cases. The mean body mass index (BMI) was 27.62 ± 4.26 kg/m², and the mean sleep duration was 5.76 ± 1.43 hours per day. A high risk of obstructive sleep apnea syndrome (OSAS) was observed in 92.4% of participants. Variables statistically associated with the dependent variable (OSAS) included high blood pressure (OR = 52.4; 95% CI: 1.63–16.8), Tobacco no use (OR = 0.04; 95% CI: 0.03–0.70) and BMI ≥ 25 (OR = 3; 95% CI: 1.20–7.50) Conclusion: This study reveals a high frequency of sleep disorders among diabetic patients in the Mopti region. A nationwide study is warranted to better estimate the prevalence of this condition and to inform the implementation of effective control strategies. These findings highlight the need for large-scale national studies to more accurately estimate the burden of this condition and to guide the implementation of effective prevention and control strategies.
VL  - 14
IS  - 2
ER  -

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