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Revista de Saúde Pública

Print version ISSN 0034-8910On-line version ISSN 1518-8787

Rev. Saúde Pública vol.53  São Paulo  2019  Epub Dec 20, 2018

http://dx.doi.org/10.11606/s1518-8787.2019053000608 

Original Article

Association between diabetes mellitus and depressive symptoms in the Brazilian population

Cauê Pontes BrigantiI 

Marcus Tolentino SilvaI  II 

José Vanilton de AlmeidaI 

Cristiane de Cássia BergamaschiI 

IUniversidade de Sorocaba. Programa de Pós-Graduação em Ciências Farmacêuticas. Sorocaba, SP, Brasil

IIUniversidade Federal do Amazonas. Faculdade de Medicina. Manaus, AM, Brasil

ABSTRACT

OBJECTIVE

To determine the prevalence of current depressive symptoms in people with diabetes mellitus and their association with the disease.

METHODS

Data were collected from the Brazilian National Health Survey (Pesquisa Nacional de Saúde - PNS), a cross-sectional, population-based study conducted in 2013. Study participants were selected by simple random cluster sampling in three stages: census tracts, households, and residents aged ≥ 18 years. The presence of diabetes was self-reported, whereas the presence of current depressive symptoms was determined by the Patient Health Questionnaire-9 (PHQ-9) and mean scores of this questionnaire were calculated for the variables assessed. Tobit regression was used to evaluate variation in these individuals.

RESULTS

Of the 60,202 interviewees, 6.03% (n = 3,636) reported diabetes mellitus. The disease was more frequent in female, older, widowed, obese and with incomplete elementary education. Depression symptoms were mild-to-moderately severe in 22% of the diabetics. The severity of current depressive symptoms was higher in individuals that were female (PHQ-9 mean = 3.35), older adults (PHQ-9 mean = 3.01), indigenous (PHQ-9 mean = 3.46), separated/divorced (PHQ-9 mean = 3.13), widowed (PHQ-9 mean = 3.39), obese (PHQ-9 mean = 3.13) and with incomplete primary education (PHQ-9 mean = 3.21). Higher severity of depressive symptoms was associated with the use of insulin and with coma (PHQ-9 mean = 8.32), limb amputation (PHQ-9 mean = 7.55), circulatory problems (PHQ-9 mean = 6.94), infarction (PHQ-9 mean = 6.83), diabetic foot (PHQ-9 mean = 6.62), and kidney problems (PHQ-9 mean = 6.68). The severity of current depressive symptoms was associated with diabetes severity and degree of limitation in activities of daily living (PHQ-9 mean = 10.62).

CONCLUSIONS

Interventions to improve depressive symptoms should be prioritized in people with diabetes are female, older adults, indigenous, widowed, separated/divorced, obese and with incomplete elementary education.

DESCRIPTORS Adult; Diabetes Mellitus, epidemiology; Depression, epidemiology; Risk factors; Patient Health Questionnaire, utilization; Health Surveys

INTRODUCTION

Diabetes is a chronic, progressive disease often associated with numerous neuropsychiatric comorbidities, particularly depression. The prevalence of depression is 2-3 times higher in patients with diabetes than in the general population1,2. Depression is considered one of the most overlooked symptoms in diabetics and is directly associated with a worse quality of life2.

According to the International Diabetes Federation, there were 382 million people with type 2 diabetes mellitus in 20133. Epidemiological studies in the United Nations’ countries found a global prevalence of diabetes of 8.3% among adults aged 20-79 years in 2011, with an estimated increase to 9.9% by 20304.

A systematic review showed that depression rates among people with diabetes in low- and middle-income countries may be higher than that in high-income countries3. Another systematic review of data from high-income countries indicated that depression contributes to increased diabetes-related comorbidities and higher health system costs5. Yet another showed that people with type 2 diabetes have a 24% higher likelihood of developing depressive symptoms in comparison to individuals without the disease6.

The severity of depressive episodes, dysthymia, mood disorders, and suicidal ideation is associated with lower quality of life, increased comorbidities, and poor diabetes control7. There are several obstacles to detecting cases using population-based surveys, including the lack of a gold standard and the high level of resources required to conduct two-step interviews. Consequently, validated instruments measuring depressive symptoms at the time of interview tend to be employed8.

A cross-sectional study evaluated the prevalence of depressive and anxiety symptoms together with the decline in quality of life in 210 individuals with type 1 and 2 diabetes. The authors found a higher prevalence of anxiety and depression in patients with type 1 diabetes. In general, individuals with symptoms of depression and anxiety had worse quality of life9.

A Brazilian hospital survey of 346 individuals with type 1 and 2 diabetes demonstrated that patients with type 1 diabetes had a higher quality of life score than patients with type 2 diabetes regarding mobility, self-care, performance of activities of daily living, pain and discomfort, and anxiety and depression10.

In Brazil, diabetes prevalence is generally estimated by health surveys based on self-reported measures owing to difficulties collecting biochemical data in large populations11. The National Health Survey (Pesquisa Nacional da Saúde - PNS) was carried out by the Brazilian Ministry of Health and described the health situation and lifestyles of Brazilians, as well as their healthcare in terms of access and use of services, preventive actions, continuity of care, and healthcare expenditure12. This population-based survey determined the prevalence of self-reported diabetes in the Brazilian population.

Data from the National Health Survey in 2013 showed that 4.1% of the Brazilian population currently had depressive symptoms. The authors observed that depression was more frequent among individuals that were female, aged ≥ 40-59 years, living in urban areas, less educated, smokers, hypertensive, diabetic and with heart disease13.

The mental health state of the population is an important and essential component of public health since depression is the most prevalent mental disorder worldwide13. In Brazil, there are no epidemiological studies determining the prevalence of depression among diabetic individuals or the factors associated with the condition. This cross-sectional study sought to determine the prevalence of current depressive symptoms in diabetes mellitus and their association with the disease.

METHODS

Study Design

This is a cross-sectional study drawing on the National Health Survey, a population-based household survey with national representativeness, conducted in 2013. Self-reported diabetes mellitus and current depressive symptoms were the primary outcomes analyzed.

Research Site and Setting

The National Health Survey was carried out by the Brazilian Institute of Geography and Statistics, in collaboration with the Ministry of Health, and entailed interviews conducted with adults, collecting data on their health status, access to public services, participation in prevention activities, and lifestyles12.

Households were drawn from the master sample of the National Household Sample Survey, an annual survey used by the IBGE for planning Federal Government actions. This approach provided greater geographic coverage and improved accuracy of estimates14.

Methodological details, including the survey design and development process, have been described by Damacena et al.12 and Souza-Júnior et al.15

Sample Selection

The National Health Survey adopted simple randomized cluster sampling in three stages: census tracts, households, and residents aged ≥ 18 years14. The total sample size was 81,357 households. In the first stage of the random selection process, sectors with special characteristics and low population (indigenous, barracks, military bases, lodgings, camps, boats, penitentiaries, penal colonies, prisons, asylums, orphanages, convents, and hospitals) were excluded16. Thus, 81,167 households were visited, of which 69,994 were occupied. A total of 60,202 individual interviews were conducted with the randomly selected residents13. For this study, interviews containing answers to questions about the presence of diabetes mellitus and depressive symptoms were selected.

Data Collection Procedure

The individual questionnaires were completed with the aid of handheld computers by interviewers previously trained by the IBGE and Ministry of Health. The results are available for download on the IBGE website (http://www.ibge.gov.br/home/estatistica/populacao/pns/2013_vol3/default_microdados.shtm).

Diabetes prevalence was self-reported and addressed by the question: “Has a doctor ever diagnosed you with diabetes?”. The presence and severity of current depressive symptoms in the population with diabetes were measured by the Patient Health Questionnaire-9 (PHQ-9)17. Such questionnaire comprises nine questions scored as zero (no days), one (less than half the days), two (more than half the days) and three (almost every day). Interviewees were stratified by the severity of current depressive symptoms according to the PHQ-9 score: none-minimal (0-4 points), mild (5-9 points), moderate (10-14 points), moderately-severe (15-19 points), and severe (20-27 points).

To characterize the sample, the following information was extracted from the database: gender (male, female), age (18-39, 40-59, ≥ 60), ethnicity (white, black, Asian, brown, or indigenous), marital status (married, separated or divorced, widowed, and single), education (higher education or post-secondary education, secondary school, elementary school, incomplete elementary school), Body Mass Index - BMI (normal weight, overweight, obese), strategies used in diabetes treatment, habitual activities, and the severity of current depressive symptoms in the population.

Regarding treatment strategies, participants were asked whether they regularly visited the doctor for diabetes mellitus, received treatment guidelines, were routinely examined for diabetes-related complications (visual problems, infarction, stroke, other circulatory problems, kidney problems, diabetic foot, upper and lower limb amputation, diabetic coma, and others) and whether they had been hospitalized for diabetes. Limitations in habitual activities due to diabetes were measured by a Likert-type scale (not limited, a little, moderately, severely, and very severely).

Statistical Analysis

Presence of diabetes and the PHQ-9 score were used for quantitative analyses. The participants’ characteristics were described using simple frequencies and stratified by the presence of diabetes and severity of current depressive symptoms. Treatment strategies frequency, the degree of limitation in habitual activities, and severity of current depressive symptoms were described for the diabetic population.

PHQ-9 mean values were calculated for the variables studied. Considering the ceiling effect of the PHQ-9 score (most people do not present depressive symptoms and have zero scores), Tobit regression was used to evaluate score variation in patients with diabetes. The effect of complex sampling was considered for all calculations and associations were regarded as significant when p < 0.05. Analyses were performed using the statistical program Stata (version 14.2). Sensitivity analysis was performed using a bootstrap technique.

Ethics Approval and Participant Consent

The National Health Survey was approved by the National Ethics Commission on July 8, 2013, under Protocol 10853812.7.0000.0008. Adult participation in the survey was voluntary and the confidentiality of information was ensured, in accordance with Resolution no. 466 of December 12, 2012, of the National Health Council.

RESULTS

In a population of 60,202 respondents, 3,636 (6.03%) had diabetes. The total population consisted predominantly of females, individuals aged 18-39 years, white and brown, married, single or widowed, educated until the high school level, and non-obese.

The population with diabetes mellitus comprised predominantly individuals that were female, older adults, widowers, with incomplete primary education and obese. Moderately-severe or severe current depressive symptoms were also higher in this group, although most had none or minimal depressive symptoms. Approximately 22.5% of participants had mild- to-severe current depressive symptoms (Table 1).

Table 1 Sociodemographic and clinical characteristics of the Brazilian population with diabetes mellitus as a function of depressive symptoms. Brazil, 2013. (n = 3,636) 

Variable Population Depressive symptoms
Total n (%) Diabetes n (%) p % None-minimal % Mild % Moderate % Moderately severe % Severe p
Gender
Male 25,916 (43.0) 1,281 (6.3) 0.0025 85.43 9.85 3.00 1.14 0.58 < 0.0001
Female 34,286 (56.9) 2,355 (7.6) 73.08 16.20 6.37 2.90 1.45
Age (years)
18-39 28,722 (47.7) 315 (1.2) < 0.001 81.25 12.32 4.07 1.63 0.73 < 0.0001
40-59 20,613 (34.2) 1,425 (7.9) 76.73 14.09 5.50 2.32 1.36
≥ 60 10,866 (18.0) 1,896 (19.1) 76.81 13.86 5.33 2.76 1.25
Ethnicity*
White 28,571 (47.5) 1,556 (7.3) 0.0779 79.53 12.98 4.47 2.08 0.94 < 0.1241
Black 5,538 (9.2) 415 (8.2) 79.08 12.36 5.21 2.02 1.33
Asian 565 (0.94) 29 (6.8) 79.39 12.93 4.38 2.29 1.00
Brown 25,272 (41.9) 1,608 (6.5) 78.22 13.56 5.06 2.05 1.11
Indigenous 252 (0.4) 27 (8.5) 69.66 22.24 5.16 2.82 0.13
Marital status
Married 26,669 (44.3) 1,621 (8.3) < 0.001 79.84 12.32 4.71 2.08 1.05 < 0.0015
Separated/Divorced 3,913 (6.5) 416 (9.8) 75.30 14.67 6.09 2.43 1.51
Widowed 4,021 (6.7) 757 (17.5) 73.40 15.78 6.42 3.17 1.23
Single 25,597 (42.5) 842 (3.2) 79.33 13.50 4.40 1.83 0.94
Education*
Higher or postgraduate 9,228 (15.3) 365 (4.3) < 0.001 81.35 12.95 3.75 1.44 0.50 < 0.0001
High School 23,575 (39.2) 730 (3.8) 81.55 12.24 3.99 1.53 0.69
Elementary School 2,516 (4.2) 1,788 (9.7) 77.09 13.61 5.42 2.35 1.52
Incomplete elementary school 2,233 (3.7) 216 (11.5) 75.13 14.90 5.43 3.29 1.25
Body Mass Index*
Normal weight (18.5-25 kg/m2) 27,801 (46.2) 602 (3.8) < 0.001 80.72 12.52 4.37 1.50 0.89 < 0.0001
Overweight (≥ 25 kg/m2) 21,161 (35.1) 931 (7.5) 80.81 12.64 4.11 1.65 0.78
Obese (≥ 30 kg/m2) 1 1,239 (1 8.7) 823 (12.4) 74.98 15.02 5.94 3.06 1.00

*Not all participants responded.

The presence of current depressive symptoms in the population with diabetes mellitus was higher in women, and especially among older adults, indigenous, separated/divorced and widowed, obese individuals and those with incomplete primary education (Table 2).

Table 2 Variables predicting depressive symptoms in the Brazilian population with diabetes mellitus. Brazil, 2013. (n = 3,636) 

Variable Mean PHQ-9 Coefficient p
Gender
Male 1.97 Ref
Female 3.35 2.59 < 0.001
Age (years)
18-39 2.40 Ref
40-59 2.96 0.99 < 0.001
≥ 60 3.01 1.15 < 0.001
Ethnicity
White 2.62 Ref
Black 2.74 0.19 0.351
Asian 2.64 -0.05 0.927
Brown 2.78 0.36 0.020
Indigenous 3.46 1.55 0.011
Marital status
Married 2.63 Ref
Separated/Divorced 3.13 0.91 < 0.001
Widowed 3.39 1.41 < 0.001
Single 2.60 0.00 0.991
Education
Higher or postgraduate 2.32 Ref
High School 2.34 0.05 0.739
Elementary School 2.99 1.17 < 0.001
Incomplete elementary school 3.21 1.66 < 0.001
Body Mass Index
Normal weight (18.5-24.99 kg/m2) 2.49 Ref
Overweight (≥ 25 kg/m2) 2.44 -0.19 0.171
Obese (≥ 30 kg/m2) 3.13 1.00 < 0.001

Ref: reference; PHQ-9: Patient Health Questionnaire-9

The severity of current depressive symptoms was evaluated in relation to treatment strategies, duration of illness, and diabetes complications. Patients with diabetes diagnosed within the last two years had the greatest severity of depressive symptoms. The frequency of medical visits for diabetes was not associated with severity of depressive symptoms. The use of insulin was associated with higher severity of depressive symptoms compared with the use of oral medications. Mean values of the PHQ-9 were higher in individuals with coma, limb amputation, circulatory problems, infarction, diabetic foot, and kidney problems. The severity of current depressive symptoms was higher the greater the limitation in habitual activities caused by diabetes (Table 3).

Table 3 Treatment strategies, diabetes complications, and limitation of habitual activities as a function of depressive symptoms severity in the population with diabetes mellitus. Brazil, 2013. (n = 3,636) 

Variables % Diabetes % None-minimal % Mild % Moderate % Moderately severe % Severe p Mean PHQ-9 PHQ-9 Coefficient p
Duration of illness (years)
0-2 27.8 66.7 18.1 8.9 4.4 1.9 0.8471 4.22 Ref
3-7 24.8 68.3 16.9 7.7 5.3 1.8 4.05 -0.28 0.659
8-15 23.5 67.6 19.8 6.2 3.8 2.7 3.99 -0.37 0.562
≥ 16 23.9 68.8 15.8 6.9 5.3 3.3 4.19 -0.37 0.603
Use of oral medication 75.2 68.1 17.2 7.2 5.1 2.4 0.6740 4.09 -0.19 0.712
Use of insulin 17.8 62.2 16.1 9.2 8.9 3.7 0.0082 5.25 2.03 0.002
Do you regularly visit the doctor for diabetes
Yes 67.7 68.1 16.98 7.28 5.18 2.46 0.3035 4.17 Ref
No (only if you have problem) 23.0 69.81 17.64 7.32 2.64 2.58 3.76 -0.73 0.223
Never visit 9.3 60.68 22.39 9.28 6.41 1.25 4.61 0.57 0.458
Complications of diabetes
Visual problems 31.9 60.3 18.5 11.0 6.1 4.1 0.0004 5.26 2.41 < 0.001
Infarction 4.3 48.4 21.2 7.3 20.5 2.6 < 0.0001 6.83 3.34 0.029
Stroke 3.9 39.9 36.3 13.5 8.4 2.0 0.0002 6.14 3.31 < 0.001
Other circulatory problems 13.7 49.6 20.4 13.2 8.8 8.1 < 0.0001 6.94 4.36 < 0.001
Kidney problem 12.3 50.2 20.5 14.3 8.8 6.2 < 0.0001 6.68 3.82 < 0.001
Diabetic foot 6.1 51.1 21.9 10.6 11.9 4.5 0.0484 6.62 3.37 0.008
Amputation of upper or lower limbs 1.6 52.7 13.2 11.0 1.3 21.8 < 0.0001 7.55 3.55 0.215
Diabetic coma 2.1 40.6 29.3 9.5 5.5 15.1 < 0.0001 8.32 5.51 0.001
Other 1.8 60.7 19.8 11.1 3.9 4.5 0.7758 5.18 1.89 0.163
Hospitalization 15.4 54.2 19.1 10.6 12.2 3.9 < 0.0001 6.19 3.34 < 0.001
Diabetes or complication of diabetes limit your habitual activities
Does not limit 66.5 75.2 15.3 5.8 2.6 1.2 < 0.0001 3.12 Ref
Limit a little 17.5 59.6 23.8 8.9 5.2 2.4 4.87 2.75 < 0.001
Moderately 9.0 54.9 21.2 9.8 9.2 4.9 5.95 4.10 < 0.001
Severely 5.1 37.1 21.3 13.1 21.6 6.9 8.80 7.15 < 0.001
Very severely 2.0 28.1 17.2 27.6 8.2 18.9 10.62 9.34 < 0.001

Ref: Reference; PHQ-9: Patient Health Questionnaire-9

DISCUSSION

Summary of Findings and Interpretation Based on Available Literature

In this study, one in every 16 respondents was diagnosed with diabetes mellitus, corresponding to approximately 6% of the population. The diabetes group comprised predominantly women, older adults, divorced or separated individuals with incomplete elementary education and obese status. Approximately 22% of the patients with diabetes had current depressive symptoms, whose severity was higher in women, older adults, indigenous, separated/divorced and widowed individuals with incomplete primary education and obese status.

Diabetic patients diagnosed within the last two years and in use of insulin had greater severity of current depressive symptoms. In addition, the presence of comorbidities (coma, limb amputation, circulatory problems, infarction, diabetic foot and kidney problems) was associated with greater severity of depressive symptoms. When the disease severely limited the activities of individuals with diabetes, this was also associated with a greater severity of depressive symptoms.

A 2016 population-based study conducted in Spain, involving 320 interviews with type 2 diabetes mellitus, found that 27.2% had depressive symptoms (as measured by the Spanish version of the Beck Depression Inventory). These symptoms predominantly affected women, single individuals and the unemployed18; similar to the pattern observed in this study.

An observational study conducted between 2013 and 2014 in Pakistan identified the presence of depressive symptoms (according to PHQ-9 and the Diagnostic and Statistical Manual of Mental Disorders) in 133 (38.35%) patients with type 2 diabetes mellitus. Most patients were women, had low education, shorter time since diabetes diagnosis and obese status19. Although the population of the cited study was smaller than that of this investigation, the profile of patients was similar - female gender, low education, obesity status and a short time since diagnosis.

Another cross-sectional study evaluating the prevalence of depression in 80 patients with type 2 diabetes hospitalized in the south of India found that 38.75% of subjects with type 2 diabetes were diagnosed with depression (based on the Diagnostic and Statistical Manual of Mental Disorders). One should note that none of the factors evaluated (age, sex, education, income, and marital status) had a significant influence on the occurrence of depression; this, according to the author, may have been due to the small sample size, which precluded the generalization of findings20.

A cross-sectional study carried out in Australia involving 5,462 older men with self-reported diabetes showed that 6.5% had depressive symptoms (according to the Geriatric Depression Scale - GDS15). These older individuals were nearly twice as likely to have depression compared with those without diabetes (OR = 1.94, 95%CI 1.15-2.48)21. Although the study was specifically in a male population, it demonstrated the presence of depressive symptoms in older adults with diabetes, a finding also observed in the Brazilian population.

In a cross-sectional study with 700 participants, conducted at three public clinics in Malaysia in 2013, the prevalence of any degree of depression was 41.7%, with frequent mild depressive symptoms in 30.6% of patients. These symptoms were more prevalent in individuals who were single, divorced/separated and with microvascular complications (retinopathy, nephropathy, and diabetic foot)22. In this study, some of the complications of diabetes (coma, limb amputation, circulatory problems, infarction, and the presence of diabetic foot and kidney problems) were also associated with increased severity of depressive symptoms.

A cross-sectional multicenter study carried out at four outpatient clinics in Pakistan included 889 adults with type 2 diabetes. Approximately 43% of the participants had depression, and this condition was significantly associated with being female, older, having ischemic heart disease and obese status23. Such result was similar to the findings of this study, with depression being found predominantly in females, older adults, and obese participants.

Many studies, including systematic reviews, have found that people at risk of having diabetes and diabetics have more depressive symptoms compared with non-diabetics24,25, and the literature has shown depression is a risk factor for developing diabetes. A systematic review observed that depressed individuals have a 41% greater risk for developing diabetes mellitus and a 32% greater risk for developing type 2 diabetes. However, the authors noted that the mechanisms underlying this relationship remain unclear and warrant further research26.

A study conducted in Romania with 1,171 diabetic patients, using the PHQ-9 and the Diabetes Costs Questionnaire (DCQ), assessed direct and indirect costs related to diabetes. This study showed statistically significant higher diabetes-related costs for patients with severe or mild depression than for patients without depressive symptoms27.

It is important emphasize that published data, also based on the National Health Survey (2013), showed that 4.1% of the Brazilian population had current depressive symptoms13, a lower prevalence than the rate found in the Brazilian population with diabetes; confirming the findings of the literature and showing the negative impact of diabetes on the living of the Brazilian population.

Validity of the Study: Limitations and Strengths

Due to the cross-sectional design of this study, home interviews have been biased by including only participants who were at home at the time of data collection. In addition, it should be considered that depressed patients might be less interviewed, leading to underestimation of the association found.

On the other hand, the sample size is a strength of this study. The National Health Survey is a nationwide, community-based epidemiological survey that includes Federal and capital units, metropolitan areas, and the rest of the Federal units in the country. This study was based on the master sample of such system, which provided wide geographical coverage and improved the accuracy of estimates14,16.

Some methodological limitations inherent to prevalence studies, and the fact that diabetes mellitus was self-reported, may have led to disease underdiagnoses. The data was therefore insufficient for allowing diabetes to be categorized. However, for a survey of this magnitude, it is impractical to collect data in two steps to confirm the diagnosis.

In addition, the use of a validated instrument to assess depressive symptoms (PHQ-9) demonstrates the care taken in devising the questionnaire. However, it should be pointed out that the measure of depressive symptoms was based on the 2-week period leading up to interview and, therefore, provides only a current prevalence of depression. Lastly, it is important to emphasize that the prevalence of depression reported by studies may vary owing to differences in assessment methods (self-reported, screening instruments, clinical diagnosis etc.), sample type (population-based, hospital in-patients etc.), among other factors.

Implications for Clinical Practice and Research

Cross-sectional studies are important for collecting up-to-date information on the population with diabetes and can aid health service planning and future research. In this respect, this study is important given the absence of electronic databases containing this much-needed information.

The creation of strategies to improve depressive symptoms in individuals with diabetes mellitus should prioritize women, older individuals indigenous, widowed, separated/divorced, obese and with incomplete elementary education.

The information yielded by this study may contribute to a better understanding of depression and its associated factors in the Brazilian population with diabetes mellitus and help guide initiatives and programs promoting care in this group of patients.

REFERENCES

1. Barnard KD, Skinner TC, Peveler R. The prevalence of co-morbid depression in adults with Type 1 diabetes: systematic literature review. Diabet Med. 2006;23(4):445-8. https://doi.org/10.1111/j.1464-5491.2006.01814.xLinks ]

2. Zanoveli JM, Morais H, Dias ICS, Schreiber AK, Souza CP, Cunha JM. Depression associated with diabetes: from pathophysiology to treatment. Curr Diabetes Rev. 2016;12(3):165-78. https://doi.org/10.2174/T573399811666T505L5125349Links ]

3. Mendenhall E, Norris SA, 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):276-85. https://doi.org/10.1016/j.diabres.2014.01.001Links ]

4. Whiting DR, Guariquata L, Weil C, Shaw J. IDF diabetes atlas: global estimates of the prevalence of diabetes for 2011 and 2030. Diabetes Res Clin Pract. 2011;94(3):311-21. https://doi.org/10.1016/j.diabres.2011.10.029Links ]

5. Groot M, Anderson R, Freedland KE, Clouse RE, Lustman PJ. Association of depression and diabetes complications: a meta-analysis. Psychosom Med. 2001;63(4):619-30. https://doi.org/10.1097/00006842-200107000-00015Links ]

6. Nouwen A, Winkley K, Twisk J, Lloyd CE, Peyrot M, Ismail K, et al. Type 2 diabetes mellitus as a risk factor for the onset of depression: a systematic review and meta-analysis. Diabetologia. 2010;53(12):2480-6. https://doi.org/10.1007/s00125-010-1874-xLinks ]

7. Ceretta LB, Réus GZ, Abelaira HM, Jornada LK, Schwalm MT, Hoepers NJ, et al. Increased prevalence of mood disorders and suicidal ideation in type 2 diabetic patients. Acta Diabetol. 2012;49 Suppl1:S227-S34. https://doi.or/10.1007/s00592-012-0435-9Links ]

8. Gilbody S, Richards D, Brealey S, Hewitt C. Screening for depression in medical settings with the Patient Health Questionnaire (PHQ): a diagnostic meta-analysis. J Gen Intern Med. 2007;22(11):1596-602. https://doi.org/10.1007/s11606-007-0333-yLinks ]

9. Ornelas Maia AC, Braga AA, Paes F, Machado S, Carta MG, Nardi AE, et al. Comorbidity of depression and anxiety: association with poor quality of life in type 1 and 2 diabetic patients. Clin Pract Epidemiol Ment Health. 2013;9:136-41. https://doi.org/10.2174/1745017901309010136Links ]

10. Mata AR, Álvares J, Diniz LM, Silva MR, Alvernaz dos Santos BR, Guerra Júnior AA, et al. Quality of life of patients with Diabetes Mellitus Types 1 and 2 from a referal health centre in Minas Gerais, Brazil. Expert Rev Clin Pharmacol. 2016;9(5):739-46. https://doi.org/10.1586/17512433.2016.1152180Links ]

11. Schmidt M, Duncan BB, Hoffmann JF, Moura L, Malta DC, Carvalho RM. Prevalence of diabetes and hypertension based on self-reported morbidity survey, Brazil, 2006. Rev Saude Publica. 2009;43 Supl 2:74-82. https://doi.org/10.1590/S0034-89102009000900010Links ]

12. Damacena GN, Szwarcwald CL, Malta DC, Souza Júnior PRB, Vieira MLFP, Pereira CA, et al. O processo de desenvolvimento da Pesquisa Nacional de Saúde no Brasil, 2013. Epidemiol Serv Saude. 2015;24(2):197-206. https://doioi.org/10.5123/S1679-49742015000200002Links ]

13. Munhoz TN, Nunes bp, wehrmeister FC, Santos IS, Matijasevich A. A nationwide population-based study of depression in Brazil. J Affect Disord. 2016;192:226-33. https://doi.org/10.1016/j.jad.2015.12.038Links ]

14. Szwarcwald CL, Malta DC, Pereira CA, Vieira MLFP, Conde WL, Souza Júnior PRB, et al. National Health Survey in Brazil: design and methodology of application. Cienc Saude Coletiva. 2014;19(2):333-42. https://doi.org/10.1590/1413-81232014192.14072012Links ]

15. Souza-Júnior PRB, Freitas MPS, Antonaci GA, Szwarcwald CL. Desenho da amostra da Pesquisa Nacional de Saúde 2013. Epidemiol Serv Saude. 2015;24(2):207-16. https://doi.org/10.5123/S1679-49742015000200003Links ]

16. Instituto Brasileiro de Geografia e Estatística. pesquisa Nacional de Saúde 2013: percepção do estado de saúde, estilo de vida e doenças crônicas: Brasil, grandes regiões e unidades da federação. Rio de Janeiro: IBGE; 2014 [cited 2017 Mar 23]. Available from: ftp://ftp.ibge.gov.br/PNS/2013/pns2013.pdfLinks ]

17. Santos IS, Tavares BF, Munhoz TN, Almeida LSP, Silva NTB, Tams BD, et al. Sensitivity and specificity of the Patient Health Questionnaire-9 (PHQ-9) among adults from the general population. Cad Saude Publica. 2013;29(8):1533-43. https://doi.org/10.1590/0102-311X00144612Links ]

18. Nicolau J, Simó R, Sanchís P, Ayala L, Fortuny R, Rivera R, et al. Prevalence and clinical correlators of undiagnosed significant depressive symptoms among individuals with type 2 diabetes in a Mediterranean population. Exp Clin Endocrinol Diabetes. 2016;124(10):630-6. https://doi.org/10.1055/s-0042-109606Links ]

19. Arshad AR, Alvi KY. Frequency of depression in type 2 diabetes mellitus and an analysis of predictive factors. J Pak Med Assoc. 2016;66(4):425-9. [ Links ]

20. Mushtaque A, Gulati R, Hossain MM, Azmi SA. Prevalence of depression in patients of type 2 diabetes mellitus: a cross sectional study in a tertiary care centre. Diabetes Metab Syndr. 2016;10(4):238-41. https://doi.org/10.1016/j.dsx.2016.06.016Links ]

21. Almeida OP, McCaul K, Hankey GJ, Yeap BB, Golledge J, Norman PE, et al. Duration of diabetes and its association with depression in later life: The Health In Men Study (HIMS). Maturitas. 2016;86:3-9. https://doi.org/10.1016/j.maturitas.2016.01.003Links ]

22. Chew BH, Vos R, Mohd-Sidik S, Rutten GE. Diabetes-related distress, depression and distress-depression among adults with type 2 diabetes mellitus in Malaysia. PLoS One. 2016;22;11(3):e0152095. https://doi.org/10.1371/journal.pone.0152095Links ]

23. Khuwaja AK, Lalani S, Dhanani R, Azam IS, Rafique G, White F. Anxiety and depression among outpatients with type 2 diabetes: a multi-centre study of prevalence and associated factors. Diabetol Metab Syndr. 2010;2:72. https://doi.org/10.1186/1758-5996-2-72Links ]

24. Hasan SS, Mamun AA, Clavarino AM, Kairuz T. Incidence and risk of depression associated with diabetes in adults: evidence from longitudinal studies. Community Ment Health J. 2015;51(2):204-10. https://doi.org/10.1007/s10597-014-9744-5Links ]

25. Chen S, Zhang Q, Dai G, Hu J, Zhu C, Su L, et al. Association of depression with pre-diabetes, undiagnosed diabetes, and previously diagnosed diabetes: a meta-analysis. Endocrine. 2016;53(1):35-46. https://doi.org/10.1007/s12020-016-0869-xLinks ]

26. Yu M, Zhang X, Lu F, Fang L. Depression and risk for diabetes: a meta-analysis. Can J Diabetes. 2015;39(4):266-72. https://doi.org/10.1016/j.jcjd.2014.11.006Links ]

27. Chereches RM, Litan CM, Zlati AM, Bloom JR. Does co-morbid depression impact diabetes related costs? Evidence from a cross-sectional survey in a low-income country. J Ment Health Policy Econ. 2012;15(3):127-38. [ Links ]

Received: December 09, 2017; Accepted: April 09, 2018

Correspondence: Cristiane de Cássia Bergamaschi, Universidade de Sorocaba - UNISO, Rodovia Raposo Tavares km 92.5 18023-000 Sorocaba, SP, Brasil E-mail: cristiane.motta@prof.uniso.br

Authors' Contribution: Study design and planning: CCB, MTS. Data collection, analysis, and interpretation: CPB, JVA. Study preparation or review: CCB, MTS, CPB, JVA. Approval of the final version: CCB, MTS, CPB, JVA.

Conflict of Interest: The authors declare no conflict of interest.

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