Prevalence of Depression Among U.S. Adults With Diabetes Findings from the 2006 Behavioral Risk Factor Surveillance System
ABSTRACT To estimate the prevalence rate of depression among adults with diabetes using a large population-based sample in the U.S.
Data from the 2006 Behavioral Risk Factor Surveillance System, a standardized telephone survey among U.S. adults aged >or=18 years, were analyzed (n = 18,814). The Patient Health Questionnaire diagnostic algorithm was used to identify major depression.
The age-adjusted prevalence rate of major depression was 8.3% (95% CI 7.3-9.3), ranging from a low of 2.0% in Connecticut to a high of 28.8% in Alaska. There were 25-fold differences in the rate among racial/ethnic subgroups (lowest, 1.1% among Asians; highest, 27.8% among American Indians/Alaska Natives). People with type 2 diabetes who were currently using insulin had a higher rate than people with type 1 diabetes (P = 0.0009) and those with type 2 diabetes who were currently not using insulin (P = 0.01).
Major depression was highly prevalent among people with diabetes; the prevalence rate varied greatly by demographic characteristics and diabetes types.
Full-textDOI: · Available from: Tara Strine, Feb 04, 2014
- SourceAvailable from: Mario D Garrett
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- "reported that overall 8.2% of patients with diabetes in the United States also had depression but for AIAN the rate was the highest. AIANs with diabetes suffer higher rates of depression than any other ethnic group (Li et al., 2008 "
ABSTRACT: According to the 2010 Census, 5.2 million people identified themselves as American Indian or Alaska Native (AIAN) in the United States. This was an increase of 39% from the prior Census, making AIANs one of the nation’s fastest growing populations. The health and social programs reaching them, however, have experienced documented devastating shortfalls. Decades of inadequate resources have resulted in significant health and socioeconomic disparities. AIANs are often considered an “invisible minority.” In 2012, there were 266,000 AIAN elders 65 or older who claimed one race alone. That number is projected to almost triple by 2030—when the nation’s baby boomers move into the ranks of the older population. This article provides an overview of two primary mental health issues—depression and dementia—that will confront this emerging AIAN elder population. Although other health and social issues exist, this article addresses depression and dementia because they are hidden from the community and from health care agencies. This paper focuses both on the unique characteristics of the AIAN population and why it is important to address depression and dementia. The conclusion explores pragmatic policy recommendations for improving the health and long-term mental health care status of AIAN elders.The Gerontologist 02/2015; DOI:10.1093/geront/gnu181 · 3.21 Impact Factor
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- "The PHQ-9 has 9 questions with a score ranging from 0 to 3 for each question. It has been validated and used for screening and diagnostic purposes in different settings both developed and developing countries including Sri Lanka [10,28-30]. Shortness coupled with its construct and criterion validity makes the PHQ-9 an attractive, dual purpose instrument for making diagnoses and assessing severity of depressive disorders, particularly in the busy setting of clinical practice . "
ABSTRACT: In Sri Lanka, civilians in the Northern Province were affected by a long-term armed conflict that ended in 2009. This study aims to describe the prevalence of depression and its associated factors among adult patients attending primary care settings in the Northern Province in Sri Lanka. We report data from a cross-sectional patient morbidity registry established in 16 primary care facilities (12 Divisional Hospitals and 4 Primary Medical Care Units) in four districts of the Northern Province. The Patient Health Questionnaire-9 (PHQ-9) was used to assess depression among all patients aged >=18 years, between March and May 2013. A sample of 12,841 patient records was included in the analysis. A total score of >=10 in the PHQ-9 was considered as major depression. Factors associated with major depression were tested using multivariable logistic regression analysis. The prevalence of major depression was 4.5% (95% CI: 4.1-4.9) and mild depression was 13.3% (95% CI: 12.7-13.9). The major depression was significantly higher in females than males (5.1% vs. 3.6%) and among unpaid family workers (6.0%) than any other category who earned an income (varied between 1.2% and 3.2%). The prevalence was rising significantly with advancing age, and ranged from 0.3% in the youngest to 11.6% in the elderly.Multivariable regression analysis revealed that the females have a higher risk for major depression than males (OR = 1.4; 95% CI: 1.1-1.7). Older patients were more likely to be depressed than younger patients, OR (95% CI) were 4.9 (1.9-12.5), 5.6 (2.2-14.0), 5.7 (2.3-14.2) and 4.7 (1.8-11.9) for the age groups 25-34, 35-49, 50-64, and >=65 years respectively, in contrast to 18-24 year group. Disability in walking (OR = 7.5; 95% CI: 5.8-9.8), cognition (OR = 4.5; 95% CI: 3.6-5.6), self-care (OR = 2.6; 95% CI: 1.7-4.0), seeing (OR = 2.3; 95% CI: 1.8-3.0), and hearing (OR = 2.0; 95% CI: 1.5-2.5) showed significant associations with depression. Depression is a common issue at primary care settings in a post-conflict population, and the elders, women and persons with disability are at a greater risk. Strengthening capacity of primary care facilities and community mental health services is necessary for early detection and management.BMC Psychiatry 03/2014; 14(1):85. DOI:10.1186/1471-244X-14-85 · 2.21 Impact Factor
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- "Relationship between DM and depression has been investigated by many researchers. Prevalence of depression among individuals with DM appears to vary by type of DM, race/ethnicity, and among developed and developing nations [11,12]. Therefore, screening for depression among diabetic patients is important in different races and ethnicities. "
ABSTRACT: Diabetes mellitus is a common chronic metabolic disorder and one of the main causes of death in Palestine. Palestinians are continuously living under stressful economic and military conditions which make them psychologically vulnerable. The purpose of this study was to investigate the prevalence of depression among type II diabetic patients and to examine the relationship between depression and socio-demographic factors, clinical factors, and glycemic control. This was a cross-sectional study at Al-Makhfiah primary healthcare center, Nablus, Palestine. Two hundred and ninety-four patients were surveyed for the presence of depressive symptoms using Beck Depression Inventory (BDI-II) scale. Patients' records were reviewed to obtain data pertaining to age, sex, marital status, Body Mass Index (BMI), level of education, smoking status, duration of diabetes mellitus, glycemic control using HbA1C test, use of insulin, and presence of additional illnesses. Patients' medication adherence was assessed using the 8-item Morisky Medication Adherence Scale (MMAS-8). One hundred and sixty four patients (55.8%) of the total sample were females and 216 (73.5%) were < 65 years old. One hundred and twenty patients (40.2%) scored >=16 on BDI-II scale. Statistical significant association was found between high BDI-II score (>= 16) and female gender, low educational level, having no current job, having multiple additional illnesses, low medication adherence and obesity (BMI >= 30 kg/m2). No significant association between BDI score and glycemic control, duration of diabetes, and other socio-demographic factors was found. Multivatriate analysis showed that low educational level, having no current job, having multiple additional illnesses and low medication adherence were significantly associated with high BDI-II scores. Prevalence of depression found in our study was higher than that reported in other countries. Although 40% of the screened patients were potential cases of depression, none were being treated with anti-depressants. Psychosocial assessment should be part of routine clinical evaluation of these patients at primary healthcare clinics to improve quality of life and decrease adverse outcomes among diabetic patients.BMC Public Health 02/2014; 14(1):163. DOI:10.1186/1471-2458-14-163 · 2.26 Impact Factor