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Salud mental

versión impresa ISSN 0185-3325

Salud Ment vol.40 no.2 México mar./abr. 2017

https://doi.org/10.17711/sm.0185-3325.2017.007 

Original article

Distress and its association with self-care in people with type 2 diabetes

Distress y su asociación con el autocuidado en personas con diabetes tipo 2

Ingrid Patricia Martinez-Vega1 

Svetlana V. Doubova1 

Ricardo Pérez-Cuevas2 

1Unidad de Investigación Epidemiológica y en Servicios de Salud (UIESS), Centro Médico Nacional Siglo XXI, Ciudad de México, México.

2División de Protección Social y Salud, Banco Interamericano de Desarrollo, Ciudad de México, México.


Abstract

Introduction.

Low adherence to diabetes self-care affects glycemic control and increases the risk of diabetes complications and premature deaths. Studies from the United States have found a relationship between distress and adherence to self-care in patients with diabetes; however, there is a lack of research on distress and its association with self-care in Mexican patients with diabetes.

Objective.

To evaluate the prevalence and association of distress with low self-care in patients with type 2 diabetes.

Method.

A cross-sectional study was carried out in two family medicine clinics of the Mexican Institute of Social Security in Mexico City. Four hundred eighty-nine type 2 diabetic patients ≥ 19 years of age participated. The statistical analysis incorporated a multiple Poisson regression.

Results.

Of the patients 18.8% had distress, 44.8% had low adherence to medication, 43.8% had low adherence to regular physical exercise, 82.4% did not consume the recommended amount of vegetables and 51.1% consumed foods with high sugar content. The distress was associated with poor adherence to medication and lack of regular physical exercise.

Discussion and conclusion.

The high prevalence of distress in type 2 diabetic patients in comparison with the general population reveals the importance of distress screening and health care at family practice clinics

Keywords: Distress; self-care; type 2 diabetes

Resumen

Introducción.

La baja adherencia al autocuidado de la diabetes afecta el control glucémico y aumenta el riesgo de complicaciones y de muerte prematura. Estudios realizados en Estados Unidos han encontrado una relación entre el distrés y la adherencia al autocuidado de los pacientes con diabetes; sin embargo, se desconoce la magnitud del distrés y su relación con el autocuidado en pacientes mexicanos con diabetes tipo 2.

Objetivo.

Evaluar la prevalencia y asociación del distrés con el autocuidado deficiente en pacientes con diabetes tipo 2.

Método.

Estudio transversal que se llevó a cabo en dos unidades de medicina familiar del Instituto Mexicano del Seguro Social, en la Ciudad de México. Participaron 489 pacientes con diabetes tipo 2 ≥ 19 años. El análisis estadístico se realizó mediante una regresión múltiple de Poisson.

Resultados.

De los pacientes, el 18.8% presentó distrés, 44.8% mostró baja adherencia al tratamiento farmacológico, 43.8% tenía falta de ejercicio físico regular, 82.4% no consumía la cantidad recomendada de verduras y 51.1% consumía alimentos con alto contenido de azúcar. El distrés se asoció con la baja adherencia al tratamiento farmacológico y con la falta de ejercicio físico regular.

Discusión y conclusión.

La alta prevalencia de distrés en pacientes con diabetes tipo 2 en comparación con la población en general y su asociación con el autocuidado sugieren la importancia de su tamizaje y atención en medicina familiar.

Palabras clave: Distrés; autocuidado; diabetes tipo 2

Introduction

The prevalence of type 2 diabetes showed a significant growth, from 7% to 9.2%, between 2006 and 2012 ( National Health and Nutrition Survey [ENSANUT], 2012 ). Such an increment has been apparent in the higher demand for hospital and ambulatory services, a higher rate of patients with acute and chronic complications, an increase in the mortality derived from complications, and in the increasing expenses on medical attention. Prevention, providing high quality treatment and metabolic control of diabetes patients are the priorities of the Mexican health sector ( Córdova-Villalobos et al., 2008 ; Secretaría de Salud, 2006 ).

Patient’s self-care through the adherence to drug and non-drug treatments, such as regular physical exercise and a healthy way of eating, allows to achieve control of diabetes, delay its complications, reduce disabilities and increase life expectancy ( World Health Organization [WHO], 2014 ). Unfortunately, the proportion of patients with optimal self-care practices is very low. In Mexican patients, adherence to drug treatment is 78.4%; to regular physical exercise, 44.3%; and to eating low contents of sugar and high contents of vegetables, 58% ( Lerman et al., 2004 ). Such figures partly account for the fact that only 29.7% of the patients reach glycemic control ( Flores-Hernández et al., 2015 ).

In the individual realm, there are three groups of factors associated with the low adherence to self-care. The first group includes those factors related to the disease and its treatment, such as the duration of the illness, presence of comorbidity, acute and chronical complications, number and frequency of medication use. The second group involves intrapersonal factors such as gender, age, self-efficacy, psychological (e.g. distress), and psychiatric factors (e.g. depression). The third group comprises interpersonal factors such as physician-patient communication and the social support the patient has ( World Health Organization [WHO], 2014 ).

Diabetes provokes relevant psychological responses in patients. People with diabetes frequently feel frustrated, angry, discouraged, stressed, and anxious, and may develop some emotional disorder due to various reasons such as the diagnosis of the disease, the emergence of complications, difficulties for carrying out a treatment regime as well as other stressful events in their surroundings ( Polonsky et al., 2005 ). Responses to environmental stressors and to those related to the disease may range from some positive adaptation called eustress to a negative response called distress, which overcomes the abilities of the patients and the situation they have to face ( Selye, 1974 ). Thence, distress in diabetic patients is defined as an emotional upsetting load (non-psychiatric) secondary to the disease, which has not yet gone further into a more severe clinical profile ( Fisher, Hessler, Polonsky & Mullan, 2012 ).

Studies carried out in the United States ( Gonzalez, Shreck, Psaros & Safren, 2015 ; Hessler et al., 2014 ; Franks et al., 2012 ) and Nigeria ( Ogbera & Adeyemi-Doro, 2011 ) have found that people suffering diabetes and distress have a greater risk of presenting low adherence to self-care in comparison with patients who do not.

In Mexico, research in diabetic patients has focused on psychiatric disorders such as anxiety and depression ( Lerman et al., 2004 ; Fabián, García & Cobo, 2010 ; Serrano, Zamora, Navarro & Villarreal, 2012 ; Castro, Tovar & Mendoza, 2009 ; Sánchez, Hipólito, Mugártegui & Yáñez, 2016 ; León, Guillen & Vergara, 2012 ). Distress has received little attention in this population ( Lerman et al., 2009 ). However, considering its relation to diabetes, it is convenient to analyze its magnitude, that is, the frequency of distress and its relation to the lack of adherence to treatment in Mexican patients. Therefore, the purpose of the present study was the assessment of the frequency of distress and its association with deficient self-care in Mexican patients with type 2 diabetes.

Method

A study was carried out; its design was cross-sectional (measurement of all variables), bilective (gathering of data in files and interviews to diabetic persons), retrospective (the subjects assessed were asked to locate themselves temporarily in a unit of a month prior to evaluation); homodemic (population beneficiary of the Mexican Institute of Social Security [IMSS]); multicentric (sample was obtained in two family practice clinical centers); and analytical (for its scope in the analysis and explanation of the relation between variables). The study was carried out between January and June 2014. The two family practice clinics were selected based on convenience, one in the North and the other in the South part of the city. Both family practice clinics have 30 offices and the same services and infrastructure (outpatient area, preventive medicine, emergency area, clinical laboratory, drugstore). These clinics cover approximately 1.4 million people.

Participants

The sample included 489 people with type 2 diabetes. Inclusion criteria were being older than 19 years of age, having at least a three-month diagnosis and accepting to participate in the study by means of a letter of informed consent.

People with cognitive alterations were not included in the study; this was confirmed by asking patients whether they had any memory issues as well as by reviewing files in relation to medical diagnosis of dementia or mental retardation. Finally, no patients were included with a diagnosis of schizophrenia, psychosis, disorders related to the use of substances (substance induced delirium, amnesic disorder, substance induced mood disorder), or bipolar disorder.

Two nurses received one week of training to perform field work. Training included strategies for the identification and recruitment of participants and questionnaire administration. Nurses were in charge of identifying patients with diabetes who fulfilled inclusion criteria, inviting them to take part in the study, administering the questionnaire and verifying diagnosis and treatment in the participants’ files. Nurses also interviewed type 2 diabetes patients who attended the clinic during the morning and afternoon shifts at the time of the study and who accepted answering the questionnaire.

The project was approved by the National Committee for Research and Ethics of the IMSS (number R2013-785-034).

Measurement instruments and study variables

Distress secondary to diabetes was the independent variable. Distress was defined with the Distress Scale for patients with Diabetes and Hypertension (DSDH17M) ( Martínez, Doubova, Aguirre & Infante, 2016 ) which is an adaptation of the Diabetes Distress Scale (DDS17) designed in the United States ( Polonsky et al., 2005 ). Both the DDS and the DSDH17M include 17 items under three domains (distress related to the treatment regime, interpersonal distress and distress related to the physician). Each item is graded with a six-point scale ranging from “it is not a problem” to “a very serious problem”. Total score is the sum of the items divided by the total number of items. According to Fisher et al. a score ≥ 3 points out to the presence of emotional distress ( Fisher et al., 2012 ).

A deficient self-care of the patients was conceptualized by means of three dependent variables: 1. Low adherence to drug treatment, when the patients reported not complying with the dosage or hours indicated for drugs prescribed the previous month; 2. lack of regular physical exercise, when the patients answered they did not engage in or engaged in less than three thirty-minute sessions per week (so that this variable was operating when we used the criteria of the guide for the prescription of physical exercise for patients with cardiovascular risk, which takes into account patients with diabetes) ( Abellán, Sainz de Baranda & Ortín, 2014 ); 3. lack of a proper diet, which was identified by means of two variables defined from recommendations of the Clinical Practice Guideline, Diagnosis and treatment of type 2 diabetes mellitus (2012) . Variables were: a) low intake of vegetables, defined as an intake lower than four rations of vegetables per day, and b) frequent intake of food and beverages with high sugar content. A frequent intake was defined when the participant reported consumption of food and beverages with high sugar content, three or more times per week.

Relevant co-variables related to self-care were grouped into five categories: 1. Sociodemographic characteristics, 2. health condition, 3. behavior related to health, 4. general self-efficacy, and 5. information about self-care.

  • 1. Sociodemographic characteristics included: gender, age group (0 = < 65 and 1 = ≥ 65 years), schooling (1 = primary school or less, and 0 = secondary or higher), job (1 = paid job or 0 = no paid job or retired).

  • 2. Health condition included: duration of diabetes ≤ 3 years after diagnosis, presence of comorbidity such as hypertension, presence of any diabetes complication; probable depression and/or anxiety, and number of drugs prescribed: < 3 (codified as 0) or ≥ 3 (codified as 1). Depression and anxiety were assessed with the Hospital Anxiety and Depression Scale (HADS). This scale is a screening instrument which assesses depression and anxiety in non-psychiatric hospital environments. HADS has 2 subscales (depression-7 items and anxiety-7 items) and its items have Likert 4 point answers. Sum score per subscale is 0 to 21 points. Scores ≥ 11 identified probable anxiety or depression ( Nogueda, Pérez, Barrientos, Robles & Sierra, 2013 ).

  • The presence of contraindications to engage in physical exercise was identified as specified in the guidelines for prescription of physical exercise for patients with cardiovascular risk ( Abellán et al., 2014 ). Contraindications included cardiovascular ailments such as recent myocardial infarction, or any other acute cardiac event, unstable angina, uncontrolled cardiac arrhythmia, severe symptomatic aortic stenosis, uncontrolled symptomatic cardiac insufficiency, acute pulmonary embolism or lung infarction, acute myocarditis or pericarditis, aneurysm, moderate stenosis, electrolyte abnormalities (hypokalemia, hypomagnesemia), severe arterial hypertension (systolic arterial pressure > 200 mm Hg or diastolic arterial pressure > 110 mm Hg at rest), hypertrophic cardiomyopathy, and rheumatoid disorders exacerbated by exercise, auriculoventricular block, or aneurysm, apart from physical or mental handicap generating inability to perform exercise adequately.

  • 3. Behavior related to health focused on smoking and alcohol intake. Tobacco addiction was classified as 1 = smoker of at least one cigarette per day, and 0 = nonsmokers. Alcohol consumption was classified as nondrinkers (never drank alcohol), occasional drinkers (who hardly ever drank or less than once a week), moderate drinkers (1 to 14 drinks per week) and intense drinkers (over 14 drinks per week) ( Clemens, Matthews, Young & Powers, 2007 ). Due to the low proportion of moderate and intense drinkers (n = 28), they were grouped with the occasional drinkers and data was presented as 0 = does not drink alcohol, and 1 = drinks alcohol.

  • 4. The self efficacy of the patient was assessed with the General Self-efficacy Scale. This scale has 10 4-point Likert answer items and has been translated and validated in 28 different languages, including Spanish. This scale measures a person’s perception regarding his/her ability to handle with efficacy different stressing situations. A ≤ 19-point score means lack of self efficacy ( Schwarzer & Jerusalem, 1995 ; Cid, Orellana & Barriga, 2010 ).

  • 5. Information regarding self-care was determined by identifying whether the patient had received and understood information about: a) dosage and/or hours for drug treatment; b) adverse reactions to medication; c) reasons to engage in physical activity; d) kinds of physical activity, time per session and frequency per week; e) importance of the increase in daily intake of vegetables; f) reasons for increasing intake of vegetables; g) importance of diminishing intake of foods with high sugar content. These variables were codified as 1 if the patient had not received or understood the information and 0 if the patient had received and understood the information.

Sample size

Sample size was based on the practice which ascertains 30 participants for every variable included in the multiple regression model ( Wilson & Morgan, 2007 ).

Statistical analysis

Descriptive statistics was used to characterize the population of the study. Later on, a bivariate analysis with square chi test was applied to compare frequency between the independent variable (distress) and the co-variables among groups of patients according to dependent variables (for example, distress frequency in patients with or without low adherence to drug treatment; in patients with or without lack of regular physical exercise, etc.) Finally, to estimate the independent association between distress and each one of the dependent variables, we built multiple Poisson regression models with a heavy variance estimator for each dependent variable. This statistical model offers direct calculations of the reasons of prevalence and their 95% confidence intervals, as the best alternative for logistic regression in cross-sectional studies with binary results, when the result of interest is common ( > 10%) ( Barros & Hirakata, 2003 ). Construction of multivariate models considered conceptually that the independent variable and the co-variables are clinically relevant in accordance to literature related to this topic.

Results

Table 1 describes the characteristics of the 489 diabetic patients who participated in the study. Less than one third were men, 65 years or older, with low schooling and a paid job. Only 17.8% had a recent diagnosis of diabetes. Over half of them had comorbidity with hypertension and diabetes complications. Distress was identified in 18.8%; also, 20.2% scored for possible anxiety and 10.0% for depression (such percentages were obtained with a screening instrument and not by means of psychiatric assessment). Low adherence to drug treatment was identified in 44.8%, while 43.8% did not engage in regular physical exercise. From the total, 82.4% had low vegetables intake and 51.1% frequently consumed food with a high sugar content. However, only 9.6% had lack of general self-efficacy.

Table 1 Study population personal characteristics and results of behavior (n = 489) 

As for information regarding self-care, 16.8% of the patients had not received or understood the information about the drug treatment regime, 94.5% about possible adverse effects of the medication, 28.4% about the reasons to engage in regular physical exercise, 55.6% about the kind of exercise and the length and frequency of the weekly sessions, 31.3% about the importance of increasing their daily intake of vegetables and 8.4% about the relevance of diminishing the consumption of foods with a high sugar content.

Table 2 presents the results of the bivariate and multivariate analysis of the association of distress and other conceptually relevant covariables with the low adherence to drug treatment. Bivariate analysis showed that the group of patients with low adherence to treatment were those who had distress and anxiety, who had not finished their primary school and who had not understood or received the information about doses and hours of the drug treatment.

Table 2 Association of distress secondary to diabetes with low adherence to drug treatment 

Note: *p < .05; **p < .01; ***p < .001; ****p < .0001

Multivariate analysis showed that patients with distress had greater probability (24.7%) of presenting low adherence to drug treatment (95% CI [1.01, 1.64]).

Table 3 shows that patients with distress had a 27% greater chance of not engaging in regular physical exercise (95% CI [1.01, 1.75]). Other associated factors were: lack of self-efficacy (RP 1.44; 95% CI [1.11, 1.89]), not having received or understood the reasons to engage in physical activity (RP 1.31; 95% CI [1.06, 1.62]) and having contraindications for engaging in regular aerobic physical exercise (RP 1.29; 95% CI [1.01, 1.66]).

Table 3 Association of distress secondary to diabetes with lack of regular physical exercise 

Note: *p < .05; **p < .01; ***p < .001; ****p < .0001

Table 4 shows there was no association between distress and low intake of vegetables. Factors associated with low intake of vegetables were: paid job (RP 1,08; 95% CI [1.02, 1.22]) and lack of self-efficacy (RP 1.14; 95% CI [1.04, 1.25]).

Table 4 Association between distress secondary to diabetes and low intake of vegetables 

Note: *p < .05; **p < .01; ***p < .001; ****p < .0001

Table 5 shows there was no association between distress and frequent intake of foods with high contents of sugar. Variables associated to this variable were: smoking (RP 1.26, 95% CI [1.03, 1.55]) and not having received or understood the recommendation of diminishing consumption of food with a high sugar content (RP 1.41, 95% CI [1.11, 1.80]).

Table 5 Association between distress secondary to diabetes and frequent intake of foods with high contents of sugar 

Note: *p < .05; **p < .01; ***p < .001; ****p < .0001

Discussion and conclusion

The present research shows that two out of every 10 patients with type 2 diabetes suffered from distress, which was associated with low adherence to drug treatment and lack of regular physical exercise.

We found that the emotional load secondary to diabetes is shown on a greater prevalence of distress (18.8%) and possible psychiatric disorders, such as anxiety (20.2%) and depression (10%). Such numbers are greater if compared to general population, where prevalence of anxiety is 14.3%, distress ranges between 3.4% and 12%, and depression is 7.8% ( Medina-Mora et al., 2003 ; Weissman, Pratt, Miller & Parker, 2015 ; Moriarty, Zack, Holt, Chapman & Safran, 2009 ; Doherty, Moran & Doherty, 2008 ). Data on prevalence of anxiety and depression came from Mexico; however, the referent for prevalence of distress came mainly from the United States, since these data are not available for Mexican population. At the same time, prevalence of affective disorders (anxiety and depression) found in the present study is similar to the figures reported in similar studies ( Fisher et al. 2012 ; Sturt, Dennick, Due-Christensen & McCarthy, 2015 ; Fisher, Glasgow & Strycker, 2010 ).

In our study, distress in diabetic patients was associated with poor adherence to medication and lack of regular physical exercise. Such results are in accordance with several studies from the United States, which found an association of distress with low adherence to medication ( Aikens, 2012 ), and the lack of regular physical exercise ( Shin, Chiu, Choi, Cho & Bang, 2012 ).

Some researchers have pointed out that possible paths for the relation between stress and adherence to self-care might be a low motivation in chronic patients due to an erroneous perception of the low risk of not adhering to treatment, as well as the patient’s feeling of inability to have an impact on the disease, which is perceived in low self-efficacy ( González et al., 2015 ; Berry, Lockhart, Davies, Lindsay & Dempster, 2015 ). Thence, detection and psychological support for handling distress in diabetic patients may be an essential step for promoting self-care ( González et al., 2015 ; Castro et al., 2009 ; Laaksonen et al., 2005 ).

Consistently with other studies, we did not find an association between distress and intake of vegetables and sugar. For instance, one study in the United States reported that depression and not distress was significantly associated with intake of a healthy diet in type 2 diabetes patients ( Berry et al., 2015 ). In the case of our study, no psychological factors, including depression and anxiety, were linked to the intake of vegetables and sugar. Deficiencies in this component of self-care were associated to low self-efficacy and lack of information.

Offering information and education to patients about self-care is essential to improve their health condition. We found that a high percentage (between 16.8% and 94.5%) of the patients in our study informed not having received or understood the information regarding some of the points of their self-care. Besides, failures in the provision of information were associated to low adherence to drug treatment, lack of regular physical exercise, and consumption of foods with high sugar content. These findings are coherent with previous studies which mentioned that not having received or understood the information about portions and the frequency of meals may be associated with low adherence to diet in diabetic patients ( Ranasinghe et al., 2015 ; Cheng et al., 2016 ; Parajuli, Saleh, Thapa & Ali, 2014 ). Thence, it is important that the information provided to the diabetic patient has clear recommendations for self-care, expressed in a kind of language that the patient may fully understand. Myths or erroneous beliefs regarding self-care may increase due to lack of information, provoking the sensation of being deprived and denied medical recommendations ( Cheng et al., 2016 ).

The high prevalence of distress in type 2 diabetes patients compared to general population and its association with self-care suggests the importance of its screening and care in family practice. Screening may be performed by trained health professionals (v.gr. nurses, social workers), followed by the attention of the problem identified by a psychologist. It is also relevant to test our findings with studies in other locations and populations in Mexico.

Also, the association between distress and low adherence to drug treatment and lack of regular physical exercise suggests that further multidisciplinary research be made, including specialists in different areas, with the purpose of carrying out in depth research of each one of the elements of distress and self-care.

Limitations

Among the limitations of this study, it is important to mention that, by being a cross-sectional study, it is impossible to establish a causality. However, the results of the study identify the magnitude of the issues of distress in diabetic patients, which allow for the planning of strategies to improve the well-being of this population. Another limitation of the study is that the aspects of self-care were assessed by means of self-reports and not through objective measuring (v.gr. counting the pills, measuring the concentration of prescribed medication in blood, measuring glycosylated haemoglobin), which may present a chance of memory bias and social desirability. The strategies to reduce such biases included: 1. having a non-inclusion criteria to patients with cognitive problems; 2. focusing the items of the questionnaire on self-care activities during the last month, and 3. confirming information by means of reviewing the clinical files. Thanks to these strategies, percentages of patients with low adherence to drug treatment, lack of regular physical exercise, and deficiencies in diet were similar to those found previously on diabetic patients in Mexico ( Lerman et al., 2004 ; Krass, Schieback & Dhippayom, 2015 ; Faria et al., 2014 ; Mumu, Saleh, Ara, Afnan & Ali, 2014 ). On the other hand, the study sample was limited to patients in two family practice medical units of the IMSS, which prevents the study from being representative. However, due to the uniformity of the affiliation criteria to the IMSS and for the care of diabetic patients, which are based on institutional clinical guidelines, it is expected that the results may be generalized to the population of the IMSS, which is one of the largest health providers in Mexico.

Acknowledgements

We would like to thank the nurses of the Mexican Institute for Social Security for their taking part in field work: Lic. Leticia Rodríguez Aguilar and Lic. Ana Jesica Maya García.

REFERENCES

Abellán, J., Sainz de Baranda, P., & Ortín, E. J. (2014). Guideline for prescribing physical exercise in patients with cardiovascular risk. Madrid: Asociación de la Sociedad Española de Hipertensión. Liga Española para la Lucha contra la Hipertensión Arterial. Sociedades autonómicas de Hipertensión (SEH-LELHA). [ Links ]

Aikens, J. E. (2012). Prospective associations between emotional distress and poor outcomes in type 2 diabetes. Diabetes Care, 35(12), 2472-2478. DOI: http://dx.doi.org/10.2337/dc12-0181. [ Links ]

Barros, A. J., & Hirakata, V. N. (2003). Alternatives for logistic regression in cross-sectional studies: an empirical comparison of models that directly estimate the prevalence ratio. BMC Medical Research Methodology, 3, 21. [ Links ]

Berry, E., Lockhart, S., Davies, M., Lindsay, J. R., & Dempster, M. (2015). Diabetes distress: understanding the hidden struggles of living with diabetes and exploring intervention strategies. Postgraduate Medical Journal, 91(1075), 278-283. DOI: http://dx.doi.org/10.1136/postgradmedj-2014-133017. [ Links ]

Castro-Aké, G. A., Tovar-Espinosa, J. A., & Mendoza-Cruz, U. (2009). Trastorno depresivo y control glucémico en el paciente con diabetes mellitus 2. Revista Médica del Instituto Mexicano del Seguro Social, 47(4), 377-382. [ Links ]

Cheng, L., Leung, D. Y., Sit, J. W., Li, X. M., Wu, Y. N., & Yang, M. Y. (2016). Factors associated with diet barriers in patients with poorly controlled type 2 diabetes. Journal of Patient Preference and Adherence, 10, 37-44. DOI: http://dx.doi.org/10.2147/PPA.S94275. [ Links ]

Cid, P., Orellana, A., & Barriga, O. (2010). General self-efficacy scale validation in Chile. Revista Médica de Chile, 138, 551-557. https://www.ncbi.nlm.nih.gov/pubmed/20668809Links ]

Clemens, S. L., Matthews, S. L., Young, A. F., & Powers, J. R. (2007). Alcohol consumption of Australian women: results from the Australian Longitudinal Study on Women’s Health. Drug and Alcohol Review, 26(5), 525-535. [ Links ]

Córdova-Villalobos, J. Á., Barriguete-Meléndez, J. A., Lara-Esqueda, A., Barquera, S., Rosas-Peralta, M., Hernández-Ávila, M., et al. (2008). Chronic non-communicable diseases in Mexico: epidemiologic synopsis and integral prevention. Salud Pública de México, 50(5), 419-427 [ Links ]

Doherty, D. T., Moran, R., & Doherty, Y. K. (2008). Psychological distress, mental health problems and use of health services in Ireland. HRB Research Series 5. Dublin: Health Research Board. [ Links ]

ENSANUT. (2012). Encuesta Nacional de Salud y Nutrición. Resultados nacionales 2012. Cuernavaca: Instituto de Salud Pública de México. http://ensanut.insp.mx/informes/ENSANUT2012ResultadosNacionales.pdfLinks ]

Fabián-San Miguel, M. G., García-Sancho, M. C., & Cobo-Abreu, C. (2010). Prevalencia de síntomas de ansiedad y depresión en pacientes con diabetes mellitus tipo 2 y su asociación con el tipo de tratamiento, complicaciones de la diabetes y comorbilidades. Medicina Interna de México, 26(2), 100-108. [ Links ]

Faria, H. T., Santos, M. A., Arrelias, C. C., Rodrigues, F. F., Gonela, J. T., & Teixeira, C. R. (2014). Adherence to diabetes mellitus treatments in family health strategy units. Enfermagem da USP, Revista da Escola de 48(2), 257-263. [Article in Portuguese]. [ Links ]

Fisher, L., Glasgow, R. E., & Strycker, L. A. (2010). The relationship between diabetes distress and clinical depression with glycemic control among patients with type 2 diabetes. Diabetes Care, 33(5), 1034-1036. DOI: http://dx.doi.org/10.2337/dc09-2175 [ Links ]

Fisher, L., Hessler, D. M., Polonsky, W. H., & Mullan, J. (2012). When is diabetes distress clinically meaningful?: establishing cut points for the Diabetes Distress Scale. Diabetes Care, 35(2), 259-264. DOI: http://dx.doi.org/10.2337/dc11-1572 [ Links ]

Flores-Hernández, S., Saturno-Hernández, P. J., Reyes-Morales, H., Barrientos-Gutiérrez, T., Villalpando, S., & Hernández-Ávila, M. (2015). Quality of Diabetes Care: The Challenges of an Increasing Epidemic in Mexico. Results from Two National Health Surveys (2006 and 2012). PloS one, 10(7), e0133958. [ Links ]

Franks, M. M., Hemphill, R. C., Seidel, A. J., Stephens, M. A., Rook, K. S., & Salem, J. K. (2012). Setbacks in diet adherence and emotional distress: a study of older patients with type 2 diabetes and their spouses., Aging and Mental Health, 16(7), 902-910. DOI: http://dx.doi.org/10.1080/13607863.2012.674486 [ Links ]

Gonzalez, J. S., Shreck, E., Psaros, C., & Safren, S. A. (2015). Distress and type 2 diabetes-treatment adherence: A mediating role for perceived control. Health Psychology, 34(5), 505-513. DOI: http://dx.doi.org/10.1037/hea0000131 [ Links ]

Hessler, D., Fisher, L., Glasgow, R. E., Strycker, L. A., Dickinson, L. M., Arean, P. A., & Masharani, U. (2014). Reductions in regimen distress are associated with improved management and glycemic control over time. Diabetes Care, 37(3), 617-624. DOI: http://dx.doi.org/10.2337/dc13-0762 [ Links ]

IMSS. (2012). Clinical Practice Guideline, Diagnosis and treatment of type 2 diabetes mellitus. Mexico: Mexican Institute of Social Security. [ Links ]

Krass, I., Schieback, P., & Dhippayom, T. (2015). Adherence to diabetes medication: a systematic review. Diabetic Medicine, 32(6), 725-737. [ Links ]

Laaksonen, D. E., Lindström, J., Lakka, T. A., Eriksson, J. G., Niskanen, L., Wikström, K., ... & Ilanne-Parikka, P. (2005). Physical activity in the prevention of type 2 diabetes: the Finnish Diabetes Prevention Study. Diabetes, 54(1), 158-165. [ Links ]

León Astudillo, E., Guillen González, M. A., & Vergara López, A. (2012). Prevalencia de depresión y factores de riesgo asociados en pacientes con diabetes del Centro Médico Nacional “20 de Noviembre”. Revista de Endocrinología y Nutrición, 20(3), 102-106. [ Links ]

Lerman, I., Lozano, L., Villa, A. R., Hernández-Jiménez, S., Weinger, K., Caballero, A. E., ... & Rull, J. A. (2004). Psychosocial factors associated with poor diabetes self-care management in a specialized center in Mexico City. Biomedicine & Pharmacotherapy, 58(10), 566-570. [ Links ]

Lerman-Garber, I., Aguilar-Salinas, C., Tusie-Luna, T., Velasquez, D., Lobato- Valverde, M., Osornio-Flores, M., ... & Rull-Rodrigo, J. A. (2009). Early-onset type 2 diabetes mellitus. The experience from a third level medical institution. Gaceta Médica de Mexico, 146(3), 179-184. [ Links ]

Martínez-Vega, I. P., Doubova, S. V., Aguirre-Henández, R., & Infante Castañeda, C. (2016). Adaptation and validation of the Distress Scale for Mexican patients with type 2 diabetes and hypertension: across-sectional survey. BMJ Open. 6(3), e009723. DOI: http://dx.doi.org/10.1136/bmjopen-2015-009723 [ Links ]

Medina-Mora, M. E., Borges, G., Lara Muñoz, C., Benjet, C., Blanco Jaimes, J., & Fleiz Bautista, C. (2003). Prevalencia de trastornos mentales y uso de servicios: Resultados de la Encuesta Nacional de Epidemiología Psiquiátrica en México. Salud Mental, 26(4), 1-16. [ Links ]

Moriarty, D. G., Zack, M. M., Holt, J. B., Chapman, D. P., & Safran, M. A. (2009). Geographic patterns of frequent mental distress: U.S. adults, 1993-2001 and 2003-2006. American Journal of Preventive Medicine, 36(6), 497-505. DOI: http://dx.doi.org/10.1016/j.amepre.2009.01.038 [ Links ]

Mumu, S. J., Saleh, F., Ara, F., Afnan, F., & Ali, L. (2014). Non-adherence to life-style modification and its factors among type 2 diabetic patients. Indian Journal of Public Health 58(1), 40-44. DOI: http://dx.doi.org/10.4103/0019-557X.128165 [ Links ]

Nogueda Orozco, M. J., Pérez Terán, B., Barrientos Casarrubias, V., Robles García, R., & Sierra Madero, J. G. (2013). Hospital Anxiety and Depression Scale (HADS): validation in Mexican patients with HIV infection. Psicología Iberoamericana, 21(2), 29-37. [ Links ]

Ogbera, A., & Adeyemi-Doro, A. (2011). Emotional distress is associated with poor self care in type 2 diabetes mellitus. Journal of Diabetes 3(4), 348-352. DOI: http://dx.doi.org/10.1111/j.1753-0407.2011.00156.x. [ Links ]

Parajuli, J., Saleh, F., Thapa, N., & Ali, L. (2014). Factors associated with nonadherence to diet and physical activity among Nepalese type 2 diabetes patients; a cross sectional study. BMC Research Notes, 7, 758. DOI: http://dx.doi.org/10.1186/1756-0500-7-758. [ Links ]

Polonsky, W. H., Fisher, L., Earles, J., Dudl, R. J., Lees, J., Mullan, J., & Jackson, R. A. (2005). Assessing psychosocial distress in diabetes development of the diabetes distress scale. Diabetes care, 28(3), 626-631. [ Links ]

Ranasinghe, P., Pigera, A. S., Ishara, M. ., Jayasekara, L. M., Jayawardena, R., & Katulanda, P. (2015). Knowledge and perceptions about diet and physical activity among Sri Lankan adults with diabetes mellitus: a qualitative study. BMC Public Health, 15, 1160. DOI: http://dx.doi.org/10.1186/s12889-015-2518-3 [ Links ]

Sánchez Cruz, J. F., Hipólito Lorenzo, A., Mugártegui Sánchez, S. G., & Yáñez Gonzalez, R. M. (2016). Stress and Depression Associated with Non-Adherence to Treatment in Patients with Diabetes Mellitus Type 2. Atención Familiar, 23(2), 43-47. [ Links ]

Schwarzer, R., & Jerusalem, W. (1995). Generalized self-efficacy scale. In: J. Weinman, J. Wright and M. Johnston. Measures in health psychology: A user’s portfolio. Causal and control beliefs. Windsor, England: NFER-NELSON. [ Links ]

Secretaría de Salud/Dirección General de Información en Salud. Elaborado a partir de la base de datos de defunciones 1979-2008 INEGI/SS y de las proyecciones de la población de México 2005-2050 y proyección retrospectiva 1990-2004. (2006). CONAPO. [ Links ]

Selye, H. (1974). Stress without Distress. Philadelphia: Lippincott. [ Links ]

Serrano Becerril, C. I., Zamora Hernández, K. E., Navarro Rojas, M. M., & Villarreal Ríos, E. (2012). Comorbilidad entre depresión y diabetes mellitus. Medicina Interna de México, 28(4), 325-328. [ Links ]

Shin, J. K., Chiu, Y. L., Choi, S., Cho, S., & Bang, H. (2012). Serious psychological distress, health risk behaviours, and diabetes care among adults with type 2 diabetes: the California Health Interview Survey 2007. , Diabetes Research and Clinical Practice, 95(3), 406-414. DOI: http://dx.doi.org/10.1016/j.diabres.2011.10.043 [ Links ]

Sturt, J., Dennick, K., Due-Christensen, M., & McCarthy, K. (2015). The Detection and Management of Diabetes Distress in People With Type 1 Diabetes. Current Diabetes Report, 15(11), 101. DOI: http://dx.doi.org/10.1007/s11892-015-0660-z [ Links ]

Weissman, J. F., Pratt, L. A., Miller, E. A., & Parker, J. D. (2015). Serious Psychological Distress Among Adults: United States, 2009-2013. NCHS Data Brief, 203, 1-8. [ Links ]

Wilson VanVoorhis, C. R., & Morgan, B. L. (2007). Understanding Power and Rules of Thumb for Determining Sample Sizes. Tutorials in Quantitative Methods for Psychology, 3(2), 43-50. [ Links ]

World Health Organization. (2003). Adherence to long-term therapies: Evidence for action. Geneva: World Health Organization. [ Links ]

FundingNone.

Received: July 14, 2016; Revised: March 09, 2017; Accepted: March 09, 2017

Correspondence: Ingrid Patricia Martínez Vega. Unidad de Investigación Epidemiológica y en Servicios de Salud (UIESS), Centro Médico Nacional Siglo XXI, Av. Cuauhtémoc 300, Cuauhtémoc, Doctores, 06720, Ciudad de México, México. Phone: +52 (55) 5627-6900 ext. 21074. E-mail: psic_ing@hotmail.com

Conflict of Interest

The authors declare they have no conflict of interest.

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