Skip to main content
Elsevier - PMC COVID-19 Collection logoLink to Elsevier - PMC COVID-19 Collection
. 2020 Dec 7;15(1):93–98. doi: 10.1016/j.dsx.2020.12.015

Self care practices and psychological distress among diabetic patients in Manipur during COVID-19: A scenario from the North East

Renu Bala 1, Amit Srivastava 1,, Thadoi Potsangbam 1, Lily Anal 1, Gouri D Ningthoujam 1
PMCID: PMC7720010  PMID: 33316765

Abstract

Background and aim

Uncontrolled diabetes has emerged as one of the major risk factors for mortality in patients with coronavirus disease (COVID-19). Physical inactivity, alterations in dietary habits, and inability to seek guidance from the physician are some of the contributing factors. This study aims to assess the self-care practices and psychological distress during the pandemic among diabetic patients visiting the institute’s out patient department.

Method

A convenient sampling method was used to recruit subjects from a representative clinical sample using validated scales like the Summary of Diabetes Self-Care Activities (SDSCA) and Kessler Psychological Distress Scale (K10).

Result

The study enrolled a total of 108 subjects with the mean age being 56.3 years. The everyday healthy eating plan was followed by 76.85% (N = 83) subjects and daily physical activity for at least 30 min performed by 50% (54) subjects. Only 12.04% (13) subjects tested their blood sugar and 6.48% (7) respondents checked their feet daily. There was no significant difference found between the SDSCA and psychological distress based on socio-demographic variables.

Conclusion

Participants in this study typically reported a good level of self-care behavior particularly for diet followed by exercise whereas the self-care behavior was not adequate for foot care and blood-glucose testing. People were not too anxious about COVID-19. This study highlighted the fact that people with diabetes should monitor their blood sugar levels more often along with their foot care.

Keywords: COVID-19, Diabetes mellitus, Kessler psychological distress scale, Pandemic, Summary of diabetes self care activities

1. Introduction

Diabetes Mellitus (DM) is a metabolic disease characterized by chronic hyperglycemia resulting from defects in insulin secretion, insulin action, or both [1]. The burden of diabetes has steadily increased in India and across the globe over the last few decades. The prevalence of overweight in adults aged 20 years or older in India increased from 9·0% in 1990 to 20·4% in 2016 [2]. The global diabetes prevalence in 2030 is estimated to be 10.2% (578 million) rising to 10.9% (700 million) by 2045 [3].

Coronavirus disease (COVID-19) outbreak on December 31, 2019 in the city of Wuhan in China is characterized by a febrile respiratory syndrome caused by a new Severe Acute Respiratory Syndrome coronavirus 2 (SARS-CoV-2) [4]. Even though COVID-19 has varying degrees of illness, the mortality rate is low in healthy individuals [5]. However, patients suffering from DM have distinctive co-morbidity that is associated with severe diseases, like acute respiratory distress syndrome (ARDS). With a large pool of undiagnosed people with DM in India, it is reasonable to recommend a blood glucose check above 30 years who have COVID-19 [6]. Among the geriatric population also, hypertension and DM poses a risk for many diseases like heart attack, stroke, kidney failure, leg amputation, vision loss, blood vessels, and peripheral nerve damage. A study in Uttarakhand, India showed a high prevalence of hypertension and DM in the geriatric population residing in rural areas that were unaware of their health issue [7].

DM is common in developing countries including India with a big impact on mental health, the reason being the burden of physical and financial sufferings that were enough to cause depression among the patients [8]. Anxiety and depression are commonly found in patients with diabetes and have a big impact on the health-related quality of life [9]. Also elevated symptoms of anxiety in diabetes patients lead them to a more stressful life [10]. A study with a high prevalence of depression in diabetic patients showed that the risk factors for depression were age, central obesity, diabetic complications particularly neuropathy and diabetic foot disease, and increased pill burden which is associated with poor outcomes [11].

Good glycemic control is an important factor in preventing the complications associated with DM that can be attained by adaption of good lifestyle modification including a balanced diet, exercise, proper sleep, and psychological well-being with medical guidance. Self-care for diabetes patients during COVID-19 has been a great struggle physically as well mentally due to the impact of social distancing, quarantine, and frequent lockdown and containments. Few main problems faced are diminished physical activity, restriction in food supplies compelled patients to alter food habits leading to uncontrolled hyperglycemia, problems of medication, and lastly difficulty to access medical consultation for routine checkups.

Self-monitoring of blood glucose once or twice a week is acceptable and patients should discuss psychological issues with their physicians [12]. Both physical inactivity and obesity seem to be strongly and independently associated with DM and its related co-morbidities [13]. It has been known that diabetes and hyperglycemia were independent predictors for death and morbidity in Severe Acute Respiratory Syndrome (SARS) patients and metabolic control may improve the prognosis in these patients [14]. There is evidence of increased incidence and severity of COVID-19 in patients with DM and COVID-19 could affect the pathophysiology of diabetes. Blood glucose control is important not only for diabetic patients infected with COVID-19 but also in uninfected [15].

The current evidence hints towards a poorer outcome in both new-onset hyperglycemia without diabetes and new-onset diabetes in COVID-19 compared with normoglycemic individuals and people with pre-existing diabetes [16,17]. Hence, it is advisable for persons with underlying DM to take extra precautions by following guidelines on social distancing, hand and respiratory hygiene. People with DM should ensure good glucose control as improvement in glycemia does boost host immune response [18]. There is scarce data on diabetic ketoacidosis in COVID-19 infection yet diabetic ketoacidosis occurs as a result of interactions between SARS-CoV-2 and the renin-angiotensin-aldosterone system which might aggravate pancreatic beta-cell function and precipitate diabetic ketoacidosis [19].

During the COVID-19 pandemic, regardless of the severity and duration of diabetes, it is very crucial to aware patients about self-care, maintaining weight, reducing intake of saturated fat, quitting alcohol and smoking, increasing physical activity, nutrition counseling, self-monitoring blood glucose, and improving medication adherence [20]. Considering the mental health issues as a major health concern during the ongoing COVID-19 pandemic, it is indispensable to study how diabetic people are coping with such a major disaster and to appropriately understand their mental health status [21]. Determining the prevalence of stress is the first important step for implementing early targeted intervention and reducing the possibility of further irrational behaviors might help diabetic people return to normal life. Therefore, this present study aims to assess the impact of COVID-19 on psychological well-being and self-care practices among diabetics during the period of the pandemic.

2. Methodology

2.1. Study setting

A cross-sectional study was conducted from 3rd August to August 28, 2020 among diabetic patients who are under treatment at the out patient department (OPD) of Regional Research Institute for Homoeopathy, Imphal. Participants above 18 years who agree to participate in the study were enrolled in the study.

2.2. Study procedure

The prevalence of DM in Manipur is around 7% [22]. Epi-info software was used for calculating the sample size for observational study [23]. Considering the level of significance 5% (confidence interval 95%) and a design effect of one, the estimated sample size for the study was calculated to be 101 subjects. The diabetic patients who visited the OPD for treatment were recruited on-site using the assessment questionnaires. No incentive was offered to any participant in the survey. The study was approved by the Institutional Ethical Committee of Regional Research Institute for Homoeopathy, Imphal.

2.3. Study instruments

The participants were informed about the background, objectives of the study, and confidentiality of identity through the ‘Informed written consent form’. Respondents who gave consent of their free will/and understand that they have the right to withdraw from the study at any time without any effect on the treatment in OPD of the institute signed the form. In the case of illiterate, a literate witness (attendant) gave consent on his/her behalf. Participant’s socio-demographic characteristics were recorded in a pre-designed format. The self-reported questionnaire in this study included questions from validated scales that are:

  • The Summary of Diabetes Self-Care Activities (SDSCA): It is a brief self-report questionnaire of diabetes self-management that includes items assessing the following aspects of the diabetes regimen: general diet, specific diet, exercise, blood-glucose testing, foot care, and smoking. It consists of ten questions that inquire about diabetes self-care activities during the past seven days with response options being the mean number of days. One additional question records the smoking behavior of the participants and the final score was calculated after reversing the response to question number four and summing the response to all the questions [24].

  • Kessler Psychological Distress Scale (K10): It is a simple measure of psychological distress and involves ten questions about emotional states each with a five-level response scale. Scores of the 10 items are summed, yielding a minimum score of 10 and a maximum score of 50 [25].

2.4. Statistical analysis

The descriptive analysis gave frequency, percentage, mean scores, and standard deviation (SD) of response under each section. Analysis of Variance (ANOVA) or t-test was performed to find any significant difference in SDSCA and K10 scores depending on demographic variables. The p-value was kept at 0.05.

3. Results

The study recruited a total of 108 subjects. The demographic characteristics of the study participants are given in Table 1 . The mean age of the study sample was 56.3 years with the maximum participants between the age of 46–55 years (N = 33; 30.56%). The majority of the subjects were male (60; 55.56%), married (106; 98.15%), and lived in urban areas (64; 59.26%). The educational level of the participants with graduate and higher qualification was 36.11% (N = 39) while 23.15% (25) attained education up to intermediate level. 32.41% (35) participants were homemakers and 74.07% (80) lived in a joint family. 65.74% (71) of the population did not take any prophylactic medicine for COVID-19 while 34.26% (37) of people took Homoeopathic medicine as a prophylactic measure against COVID 19. The main source of information about COVID-19 was from News media (83; 76.85%).

Table 1.

Socio-demographic characteristic of the study participants.

Demographic variable N = 108 %
Age Mean age 56.306
Standard Deviation 11.600
Upto 45 years 20 18.52
46–55 years 33 30.56
56–65 years 27 25.00
Above 65 years 28 25.93
Gender Male 60 55.56
Female 48 44.44
Marital status Married 106 98.15
Unmarried 2 1.85
Type of area Rural 44 40.74
Urban 64 59.26
Education Upto junior high school 19 17.59
High school 25 23.15
Higher secondary 25 23.15
Graduate and higher 39 36.11
Occupation Government job 15 13.89
Private job 12 11.11
Business 18 16.67
Retired 18 16.67
Homemaker/Housewife 35 32.41
Unemployed 10 9.26
Type of family Nuclear 28 25.93
Joint 80 74.07
Prophylactic medicine Homoeopathic medicine 37 34.26
I did not took any medicine 71 65.74
Source of information News media 83 76.85
Social media 25 23.15

N= Number.

% = Percentage.

The response to SDSCA under different heads is given in Table 2 . The results of the study showed that a daily healthy eating plan was followed by 76.85% (83) subjects in the last seven days and 75% (81) subjects over the past month. 45.37% (49) of the participants ate five or more serving of fruits and vegetables and 48.15% (52) of subjects consumed high-fat food in the last seven days. The mean score and the standard deviation (SD) of the general diet score was 6.347 (1.383) and the specific diet score was 5.38 (1.414). Daily physical activity for at least 30 min was performed by 50% (54) subjects while 24.07% (26) participated in specific exercise such as swimming, walking, etc. in the last seven days giving the mean score (SD) of exercise 3.954 (2.29). Among the participants, 85.19% (92) subjects had not tested their blood sugar while only 12.04% (13) subjects tested once in the last seven days as recommended by health care providers. The mean score (SD) of the blood glucose test was 0.148 (0.394).

Table 2.

The summary of diabetes self-care activities (SDSCA).


0
1
2
3
4
5
6
7



N % N % N % N % N % N % N % N % Mean SD 95% CL
How many of the last SEVEN DAYS have you followed a healthful eating plan? 0 0.00 0 0.00 6 5.56 2 1.85 4 3.70 5 4.63 8 7.41 83 76.85 6.370 1.378 0.263
On average, over the past month, how many DAYS PER WEEK have you followed your eating plan? 0 0.00 0 0.00 6 5.56 2 1.85 5 4.63 6 5.56 8 7.41 81 75.00 6.324 1.400 0.267
General Diet Score 6.347 1.383 0.264
On how many of the last SEVEN DAYS did you eat five or more servings of fruits and vegetables? 10 9.26 5 4.63 17 15.74 6 5.56 8 7.41 7 6.48 6 5.56 49 45.37 4.657 2.566 0.489
On how many of the last SEVEN DAYS did you eat high fat foods such as red meat or full-fat dairy products?∗ 2 1.85 1 0.93 0 0.00 0 0.00 2 1.85 20 18.52 31 28.70 52 48.15 6.102 1.282 0.245
Specific Diet Score 5.380 1.414 0.270
On how many of the last SEVEN DAYS did you participate in at least 30 min of physical activity? 14 12.96 0 0.00 1 0.93 4 3.70 12 11.11 16 14.81 7 6.48 54 50.00 5.204 2.379 0.454
On how many of the last SEVEN DAYS did you participate in a specific exercise session (such as swimming, walking, biking) other than what you do around the house or as part of your work? 57 52.78 2 1.85 1 0.93 1 0.93 8 7.41 7 6.48 6 5.56 26 24.07 2.704 3.085 0.589
Exercise Score 3.954 2.290 0.437
On how many of the last SEVEN DAYS did you test your blood sugar? 92 85.19 15 13.89 0 0.00 0 0.00 1 0.93 0 0.00 0 0.00 0 0.00 0.176 0.508 0.097
On how many of the last SEVEN DAYS did you test your blood sugar the number of times recommended by your health care provider? 95 87.96 13 12.04 0 0.00 0 0.00 0 0.00 0 0.00 0 0.00 0 0.00 0.120 0.327 0.062
Blood Glucose Testing Score 0.148 0.394 0.075
On how many of the last SEVEN DAYS did you check your feet? 90 83.33 5 4.63 2 1.85 2 1.85 0 0.00 2 1.85 0 0.00 7 6.48 0.685 1.868 0.356
On how many of the last SEVEN DAYS did you inspect the inside of your shoes? 105 97.22 1 0.93 0 0.00 1 0.93 0 0.00 0 0.00 0 0.00 1 0.93 0.102 0.735 0.140
Foot Care Score 0.394 1.142 0.218
Have you smoked a cigarette—even one puff—during the past SEVEN DAYS?
No = 0
Yes = 1
107 99.07 1 0.93
Total SDSCA Score 16.231 3.068 0.585

N= Number.

% = Percentage.

SD= Standard Deviation.

CL= Confidence Limit of Mean.

∗ = Response is reverse coded.

Participants showed poor foot care behavior evident by the fact that 83.33% (90) didn’t check their feet and 97.22% (105) subjects didn’t inspect the inside of the shoes in the last seven days. Only 6.48% (7) respondents checked their feet daily in the last seven days. The mean score (SD) of the foot care was 0.394 (1.142). Out of all the participants, 99.07% (107) subjects did not smoke even one puff during the past seven days. The mean (SD) of the total SDSCA score was 16.231 (3.068).

During the past one month, 32.41% (35) subjects often felt tired out for no reason, 17.59% (19) felt nervous and 12.04% (13) subjects felt so nervous that nothing could calm down. The restless or fidgety feeling was felt by 17.59% (19) whereas 12.04% (13) respondents felt so restless that they couldn’t sit still in past one month. A feeling of depression was experienced by 14.82% (16) subjects, 4.63% (5) subjects felt hopeless, 2.78% (3) could often feel worthless and 27.78% (30) subjects felt that everything was an effort in last month. Only a few respondents (8; 7.41%) could feel so sad that nothing could cheer them up and in the last month. The mean score (SD) of the Kessler’s Distress scale was 15.083 (5.088) (Table 3 ). The study found no significant differences in the SDSCA and Kessler’s Distress scale based on any socio-demographic variables (Table 4 ).

Table 3.

Kessler’s distress scale.

None of the Time
A Little of the Time
Some of the Time
Most of the Time
All of the Time



N % N % N % N % N % Mean SD 95% CL
In the past 4 weeks, about how often did you feel tired out for no good reason? 43 39.81 30 27.78 28 25.93 7 6.48 0 0 1.991 0.962 0.183
In the past 4 weeks, about how often did you feel nervous? 55 50.93 34 31.48 15 13.89 4 3.70 0 0 1.704 0.846 0.161
In the past 4 weeks, about how often did you feel so nervous that nothing could calm you down? 79 73.15 16 14.81 11 10.19 2 1.85 0 0 1.407 0.749 0.143
In the past 4 weeks, about how often did you feel hopeless? 95 87.96 8 7.41 4 3.70 1 0.93 0 0 1.176 0.526 0.100
In the past 4 weeks, about how often did you feel restless or fidgety? 62 57.41 27 25.00 15 13.89 4 3.70 0 0 1.639 0.859 0.164
In the past 4 weeks, about how often did you feel so restless you could not sit still? 79 73.15 16 14.81 12 11.11 1 0.93 0 0 1.398 0.723 0.138
In the past 4 weeks, about how often did you feel depressed? 64 59.26 28 25.93 15 13.89 1 0.93 0 0 1.565 0.765 0.146
In the past 4 weeks, about how often did you feel that everything was an effort? 74 68.52 4 3.70 9 8.33 15 13.89 6 5.56 1.843 1.348 0.257
In the past 4 weeks, about how often did you feel so sad that nothing could cheer you up? 88 81.48 12 11.11 6 5.56 2 1.85 0 0 1.278 0.653 0.125
In the past 4 weeks, about how often did you feel worthless? 102 94.44 3 2.78 3 2.78 0 0.00 0 0 1.083 0.365 0.070
TOTAL 15.083 5.088 0.971

N= Number.

% = Percentage.

SD= Standard Deviation.

CL= Confidence Limit of Mean.

Table 4.

Comparison of SDSCA and Kessler’s Distress score based on socio-demographic variables.

N % SDSCA
Kessler Distress
Mean SD t/F∗ p-value Mean SD t/F p-value
16.231 3.068 15.083 5.088
Age Upto 45 years 20 18.52 15.250 3.279 1.879 0.138 15.000 5.099 0.098 0.961
46–55 years 33 30.56 16.955 3.045 14.727 6.611
56–65 years 27 25.00 16.685 3.244 15.259 3.928
Above 65 years 28 25.93 15.643 2.589 15.393 4.166
Gender Male 60 55.56 16.658 2.961 1.618 0.109 14.717 5.149 −0.838 0.404
Female 48 44.44 15.698 3.147 15.542 5.027
Marital status Married 106 98.15 16.278 3.073 1.967 0.299 14.915 4.976 −4.415 0.142
Unmarried 2 1.85 13.750 1.768 24.000 2.828
Type of area Rural 44 40.74 15.932 3.234 −0.827 0.411 14.886 4.632 −0.342 0.733
Urban 64 59.26 16.438 2.957 15.219 5.412
Education Upto junior high school 19 17.59 16.368 3.833 0.413 0.744 17.579 6.239 2.026 0.115
High school 25 23.15 15.640 2.523 14.200 3.329
Higher secondary 25 23.15 16.320 3.162 15.040 4.605
Graduate and higher 39 36.11 16.487 2.983 14.462 5.481
Occupation Government job 15 13.89 17.267 3.615 1.801 0.119 14.467 6.833 0.241 0.943
Private job 12 11.11 17.667 3.360 14.750 5.048
Business 18 16.67 16.778 2.396 15.056 6.467
Retired 18 16.67 15.333 2.389 16.222 3.059
Homemaker/Housewife 35 32.41 15.457 2.956 14.857 4.551
Unemployed 10 9.26 16.300 3.751 15.200 5.051
Type of family Nuclear 28 25.93 16.321 3.312 0.171 0.865 14.607 3.852 −0.676 0.501
Joint 80 74.07 16.200 3.000 15.250 5.467

SDSCA= Summary of Diabetes Self-Care Activities.

N= Number.

% = Percentage.

SD= Standard Deviation.

∗ = t-test or Analysis of Variance (ANOVA)p-value< 0.05.

4. Discussion

The current situation of intermittent lockdown and frequent containments being a significantly important step to stop and prevent the spread of COVID-19 infection was taken by the government of Manipur but it may have affected the lifestyle and ultimately the glycemic control in diabetic patients [26]. Good lifestyle including a healthy diet, regular exercise, and sound sleep is important to have good immunity and glycemic control which helps to prevent complications related to DM. Diabetes self-care becomes an important aspect as the majority of day-to-day care in diabetes is handled by patients and their families which includes a range of activities (e.g. self-monitoring of blood glucose, eating a healthy, low-saturated-fat diet, regular physical exercise, and checking one’s feet). Hence this study aimed to identify the self-care measures adopted by the diabetic patients visiting the institute’s OPD during this current pandemic.

Diabetes was the condition reported to be most impacted by the reduction in healthcare resources due to COVID-19 [27]. It is not yet known whether people with diabetes are more susceptible to COVID-19, but several studies have reported a greater risk of severe COVID-19 in diabetic patients [28,29]. SDSCA is probably the most widely used self-report instrument for measuring diabetes self-management in adults [[30], [31], [32], [33]]. The SDSCA has been administered to the participants as a self-completion questionnaire in paper and-pencil form. Among the total participants, very few (12.04%) subjects tested their blood sugar levels once in the last seven days. Another study also reported that only 28% of participants tested their blood sugar levels regularly [34]. From this study, we highlight that education among the patients about the importance and use of self-testing their blood sugar levels is required. Patients must be educated and sensitized on this aspect to keep their diabetes under control.

Diabetic foot syndrome is one of the severe complications in diabetes mellitus due to increased plantar pressure, which resulted from undetected mechanical trauma of the lower extremities. High incidence of foot lesions and ulceration are at the plantar region of metatarsal heads, where plantar pressures are mostly the highest [35,36]. It is also noteworthy in this study that foot care among diabetic patients came out very poor (6.48%). Diabetic foot education among the patients may enhance the reduction of plantar pressures and improve functional outcomes and quality of life in the diabetic population. The majority of participants (76.85%) maintained good dietary compliance along with everyday intake of fruits, vegetables which is also in compliance with another study with 80% and 95% people following their routine dietary advice [34,37]. Side by side, the intake of high-fat foods was also seen among half of the patients.

Although measures by the government are necessary to fight COVID-19 spread, there are some concerns that prolonged home confinement to avoid SARS-CoV2 transmission may lead to reduced physical activity. The beneficial effect of physical activity on HbA1c has been extensively investigated, and a recent meta-analysis showed an overall effect on HbA1c of −0.85% [38]. Restriction measures for the COVID-19 pandemic do not imply that all forms of physical activities must be eliminated. Indoor exercises that can be safe, simple, and easily implementable (e.g., bodyweight exercise, jump rope, yoga, etc.) can help in preserving fitness levels while maintaining social distancing [39]. It has been postulated that some activity is better than none, and more is better than less [40]. Half of the participants (50%) in this study were found to be physically active, though specific exercises as walking were limited to a small group only (24.07%). One study showed that some form of exercise was followed by 62% of patients while 80% of participants were regular with their exercise in another study. Similar results were found in another study with 61% performing physical activity during the quarantine [34,41,42].

In the current situation, regular exercise is fundamental not only for glycemic control but also for psychological well-being, since regular physical activity reduces stress and anxiety and improves mood and sleep quality [43]. Surprisingly, people in this study were not too anxious about the COVID-19 situation and were very optimistic contrary to another Indian study where the prevalence of anxiety (3.29%), obsession (13.47%), and fear (46.9%) from COVID-19 was found significantly high [44]. Participants in this study typically reported good levels of dietary self-care followed by exercise self-care. A poor level of self-care was reported for foot care and blood-glucose testing.

The present study has a few limitations. First, being a cross-sectional study, results are based on single observation and do not factor in the effect of prolonged restrictions due to the prevailing pandemic situation. Second, the data were collected from residents of Manipur state and it might have been affected by the cultural norms. A larger study may be designed to recruit participants from diverse cultural backgrounds. Third, a convenient sampling method may bias the data and may not be representative of the population. Despite these limitations, the present study generates robust evidence and it is important that these findings need to be ascertained in a larger sample of patients.

5. Conclusion

To conclude, COVID-19 is a novel viral infection, an ongoing pandemic. It is imperative to follow preventive measures such as social distancing, frequent hand washing for at least 20 s using soap/alcohol-based hand sanitizer, wearing the mask in the public, watch for symptoms, practicing respiratory hygiene [45]. During the current pandemic there have been many lifestyle changes noted in all people with diabetes. Taking care of diet with the inclusion of fruits daily and physical exercise regularly could help patients with DM maintain good glycemic control. Since people with DM seem to develop more severe complications with COVID-19 infection, they should take adequate care of their blood sugar levels. This study highlighted the fact that people with diabetes should monitor their blood sugar levels more often along with their foot care.

Source(s) of support

None.

Presentation at a meeting

None.

Conflicting Interest (if present, give more details)

None declared.

Acknowledgment

The authors acknowledge the support provided by the Central Council for Research in Homoeopathy. New Delhi in conduction of this study. The authors would like to thank all the respondents who participated in this study.

References

  • 1.American Diabetes Association Diagnosis and classification of diabetes mellitus. Diabetes Care. 2013;36(Suppl 1):S67–S74. doi: 10.2337/dc13-S067. Suppl 1. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.Tandon N., Anjana R.M., Mohan V., Kaur T., Afshin A., Ong K. The increasing burden of diabetes and variations among the states of India: the Global Burden of Disease Study 1990–2016. The Lancet Global Health. 2018;6(12):e1352–e1362. doi: 10.1016/S2214-109X(18)30387-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Saeedi P., Petersohn I., Salpea P., Malanda B., Karuranga S., Unwin N. Global and regional diabetes prevalence estimates for 2019 and projections for 2030 and 2045: results from the international diabetes federation diabetes atlas, 9th edition. Diabetes Res Clin Pract. 2019;157:107843. doi: 10.1016/j.diabres.2019.107843. [DOI] [PubMed] [Google Scholar]
  • 4.World Health Organization Coronavirus disease (COVID-19). [cited 2020 Oct 31] https://www.who.int/emergencies/diseases/novel-coronavirus-2019 Available from:
  • 5.Guan W., Ni Z., Hu Y., Liang W., Ou C., He J. Clinical characteristics of coronavirus disease 2019 in China. N Engl J Med. 2020;382(18):1708–1720. doi: 10.1056/NEJMoa2002032. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Gupta R., Ghosh A., Singh A.K., Misra A. Clinical considerations for patients with diabetes in times of COVID-19 epidemic. Diabetes Metab Syndr. 2020;14(3):211–212. doi: 10.1016/j.dsx.2020.03.002. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Kapil U., Khandelwal R., Ramakrishnan L., Khenduja P., Gupta A., Pandey R.M. Prevalence of hypertension, diabetes, and associated risk factors among geriatric population living in a high-altitude region of rural Uttarakhand, India. J Fam Med Prim Care. 2018;7(6):1527–1536. doi: 10.4103/jfmpc.jfmpc_108_18. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Mendenhall E., Norris S.A., Shidhaye R., Prabhakaran D. Depression and type 2 diabetes in low and middle income countries: a systematic review. Diabetes Res Clin Pract. 2014;103(2):276–285. doi: 10.1016/j.diabres.2014.01.001. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Liu X., Haagsma J., Sijbrands E., Buijks H., Boogaard L., Mackenbach J.P. Anxiety and depression in diabetes care: longitudinal associations with health-related quality of life. Sci Rep. 2020;10(1):8307. doi: 10.1038/s41598-020-57647-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Grigsby A.B., Anderson R.J., Freedland K.E., Clouse R.E., Lustman P.J. Prevalence of anxiety in adults with diabetes: a systematic review. J Psychosom Res. 2002;53(6):1053–1060. doi: 10.1016/s0022-3999(02)00417-8. [DOI] [PubMed] [Google Scholar]
  • 11.Raval A., Dhanaraj E., Bhansali A., Grover S., Tiwari P. Prevalence and determinants of depression in type 2 diabetes patients in a tertiary care centre. Indian J Med Res. 2010;132:195–200. [PubMed] [Google Scholar]
  • 12.Banerjee M., Chakraborty S., Pal R. Diabetes self-management amid COVID-19 pandemic. Diabetes Metab Syndr. 2020;14(4):351–354. doi: 10.1016/j.dsx.2020.04.013. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Sullivan P.W., Morrato E.H., Ghushchyan V., Wyatt H.R., Hill J.O. Obesity, inactivity, and the prevalence of diabetes and diabetes-related cardiovascular comorbidities in the U.S., 2000–2002. Diabetes Care. 2005;28(7):1599–1603. doi: 10.2337/diacare.28.7.1599. [DOI] [PubMed] [Google Scholar]
  • 14.Yang J.K., Feng Y., Yuan M.Y., Yuan S.Y., Fu H.J., Wu B.Y. Plasma glucose levels and diabetes are independent predictors for mortality and morbidity in patients with SARS. Diabet Med. 2006;23(6):623–628. doi: 10.1111/j.1464-5491.2006.01861.x. [DOI] [PubMed] [Google Scholar]
  • 15.Singh A.K., Gupta R., Ghosh A., Misra A. Diabetes in COVID-19: prevalence, pathophysiology, prognosis and practical considerations. Diabetes Metab Syndr. 2020;14(4):303–310. doi: 10.1016/j.dsx.2020.04.004. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Fadini G.P., Morieri M.L., Boscari F., Fioretto P., Maran A., Busetto L. Newly-diagnosed diabetes and admission hyperglycemia predict COVID-19 severity by aggravating respiratory deterioration. Diabetes Res Clin Pract. 2020;168:108374. doi: 10.1016/j.diabres.2020.108374. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Singh A.K., Singh R. Hyperglycemia without diabetes and new-onset diabetes are both associated with poorer outcomes in COVID-19. Diabetes Res Clin Pract. 2020;167:108382. doi: 10.1016/j.diabres.2020.108382. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Pal R., Bhansali A. COVID-19, diabetes mellitus and ACE2: the conundrum. Diabetes Res Clin Pract. 2020;162:108132. doi: 10.1016/j.diabres.2020.108132. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Yj C., Sjh N., E Y Diabetic ketoacidosis precipitated by Covid-19 in a patient with newly diagnosed diabetes mellitus. Diabetes Res Clin Pract. 2020;164:108166. doi: 10.1016/j.diabres.2020.108166. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Zhang Y., Chu L. Effectiveness of systematic health education model for type 2 diabetes patients. International Journal of Endocrinology. 2018;2018:6530607. doi: 10.1155/2018/6530607. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Roy D., Tripathy S., Kar S.K., Sharma N., Verma S.K., Kaushal V. Study of knowledge, attitude, anxiety & perceived mental healthcare need in Indian population during COVID-19 pandemic. Asian J Psychiatr. 2020;51:102083. doi: 10.1016/j.ajp.2020.102083. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.Anjana R.M., Deepa M., Pradeepa R., Mahanta J., Narain K., Das H.K. Prevalence of diabetes and prediabetes in 15 states of India: results from the ICMR-INDIAB population-based cross-sectional study. Lancet Diabetes Endocrinol. 2017;5(8):585–596. doi: 10.1016/S2213-8587(17)30174-2. [DOI] [PubMed] [Google Scholar]
  • 23.Dean A., Sullivan K., Soe M. Open source epidemiologic statistics for public health. 2013. April 06; cited 2020 Oct 12]. Available from: https://www.openepi.com/Menu/OEMenu.htm.
  • 24.Toobert D.J., Hampson S.E., Glasgow R.E. The summary of diabetes self-care activities measure: results from 7 studies and a revised scale. Diabetes Care. 2000;23(7):943–950. doi: 10.2337/diacare.23.7.943. [DOI] [PubMed] [Google Scholar]
  • 25.Kessler R.C., Barker P.R., Colpe L.J., Epstein J.F., Gfroerer J.C., Hiripi E. Screening for serious mental illness in the general population. Arch Gen Psychiatr. 2003;60(2):184. doi: 10.1001/archpsyc.60.2.184. [DOI] [PubMed] [Google Scholar]
  • 26.Samom S. Manipur extends Covid-19 lockdown till August 31. https://www.hindustantimes.com/india-news/manipur-extends-covid-19-lockdown-till-august-31/story-wfH9jCld96zgRqlVpWdVGI.html Hindustan Times 2020 [updated 2020 Aug 15; cited 2020 Nov 2]. Available from:
  • 27.Chudasama Y.V., Gillies C.L., Zaccardi F., Coles B., Davies M.J., Seidu S. Impact of COVID-19 on routine care for chronic diseases: a global survey of views from healthcare professionals. Diabetes Metab Syndr. 2020;14(5):965–967. doi: 10.1016/j.dsx.2020.06.042. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28.Zhou F., Yu T., Du R., Fan G., Liu Y., Liu Z. Clinical course and risk factors for mortality of adult inpatients with COVID-19 in Wuhan, China: a retrospective cohort study. Lancet. 2020;395(10229):1054–1062. doi: 10.1016/S0140-6736(20)30566-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29.Guo W., Li M., Dong Y., Zhou H., Zhang Z., Tian C. Diabetes is a risk factor for the progression and prognosis of COVID-19. Diabetes Metab Res Rev. 2020;36(7) doi: 10.1002/dmrr.3319. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30.Nouwen A., Gingras J., Talbot F., Bouchard S. The development of an empirical psychosocial taxonomy for patients with diabetes. Health Psychol. 1997;16(3):263–271. doi: 10.1037//0278-6133.16.3.263. [DOI] [PubMed] [Google Scholar]
  • 31.Talbot F., Nouwen A., Gingras J., Gosselin M., Audet J. The assessment of diabetes-related cognitive and social factors: the Multidimensional Diabetes Questionnaire. J Behav Med. 1997;20(3):291–312. doi: 10.1023/a:1025508928696. [DOI] [PubMed] [Google Scholar]
  • 32.Toobert D.J., Glasgow R.E., Nettekoven L.A., Brown J.E. Behavioral and psychosocial effects of intensive lifestyle management for women with coronary heart disease. Patient Educ Counsel. 1998;35(3):177–188. doi: 10.1016/s0738-3991(98)00074-3. [DOI] [PubMed] [Google Scholar]
  • 33.Ruggiero L., Glasgow R., Dryfoos J.M., Rossi J.S., Prochaska J.O., Orleans C.T. Diabetes self-management. Self-reported recommendations and patterns in a large population. Diabetes Care. 1997;20(4):568–576. doi: 10.2337/diacare.20.4.568. [DOI] [PubMed] [Google Scholar]
  • 34.Nachimuthu S., Vijayalakshmi R., Sudha M., Viswanathan V. Coping with diabetes during the COVID-19 lockdown in India: results of an online pilot survey. Diabetes Metab Syndr. 2020;14(4):579–582. doi: 10.1016/j.dsx.2020.04.053. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 35.Veves A., Murray H.J., Young M.J., Boulton A.J. The risk of foot ulceration in diabetic patients with high foot pressure: a prospective study. Diabetologia. 1992;35(7):660–663. doi: 10.1007/BF00400259. [DOI] [PubMed] [Google Scholar]
  • 36.Cavanagh P.R., Rodgers M.M., Liboshi A. Pressure distribution under symptom-free feet during barefoot standing. Foot Ankle. 1987;7(5):262–278. doi: 10.1177/107110078700700502. [DOI] [PubMed] [Google Scholar]
  • 37.Pal R., Yadav U., Grover S., Saboo B., Verma A., Bhadada S.K. Knowledge, attitudes and practices towards COVID-19 among young adults with type 1 diabetes mellitus amid the nationwide lockdown in India: a cross-sectional survey. Diabetes Res Clin Pract. 2020;166:108344. doi: 10.1016/j.diabres.2020.108344. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 38.MacMillan F., Kirk A., Mutrie N., Matthews L., Robertson K., Saunders D.H. A systematic review of physical activity and sedentary behavior intervention studies in youth with type 1 diabetes: study characteristics, intervention design, and efficacy. Pediatr Diabetes. 2014;15(3):175–189. doi: 10.1111/pedi.12060. [DOI] [PubMed] [Google Scholar]
  • 39.Chen P., Mao L., Nassis G.P., Harmer P., Ainsworth B.E., Li F. Coronavirus disease (COVID-19): the need to maintain regular physical activity while taking precautions. J Sport Health Sci. 2020;9(2):103–104. doi: 10.1016/j.jshs.2020.02.001. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 40.Powell K.E., Paluch A.E., Blair S.N. Physical activity for health: what kind? How much? How intense? On top of what? Annu Rev Publ Health. 2011;32(1):349–365. doi: 10.1146/annurev-publhealth-031210-101151. [DOI] [PubMed] [Google Scholar]
  • 41.Ghosh A., Arora B., Gupta R., Anoop S., Misra A. Effects of nationwide lockdown during COVID-19 epidemic on lifestyle and other medical issues of patients with type 2 diabetes in north India. Diabetes Metab Syndr. 2020;14(5):917–920. doi: 10.1016/j.dsx.2020.05.044. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 42.Tornese G., Ceconi V., Monasta L., Carletti C., Faleschini E., Barbi E. Glycemic control in type 1 diabetes mellitus during covid-19 quarantine and the role of in-home physical activity. Diabetes Technol Therapeut. 2020;22(6):462–467. doi: 10.1089/dia.2020.0169. [DOI] [PubMed] [Google Scholar]
  • 43.Peluso M.A.M., Andrade LHSG de. Physical activity and mental health: the association between exercise and mood. Clinics. 2005;60(1):61–70. doi: 10.1590/s1807-59322005000100012. [DOI] [PubMed] [Google Scholar]
  • 44.Srivastava A., Bala R., Srivastava A.K., Mishra A., Shamim R., Sinha P. Anxiety, obsession and fear from coronavirus in Indian population: a web-based study using COVID-19 specific scales. Int J Community Med Public Health. 2020;7(11):4570–4577. [Google Scholar]
  • 45.Ministry of Health and Family Welfare Standard Operating Procedures on preventive measures to contain spread of COVID19 during festivities. 2020. https://www.mohfw.gov.in/pdf/StandardOperatingProceduresonpreventivemeasurestocontainspreadofCOVID19duringfestivities.pdf [cited 2020 Nov 2]. Available from:

Articles from Diabetes & Metabolic Syndrome are provided here courtesy of Elsevier

RESOURCES