Depression is associated with diabetes status of family members: NHANES (1999-2016)

Association between weight-adjusted-waist index and depression in US adults: A cross-sectional study

BACKGROUND

Current evidence implicates a significant association between depression and obesity and related metabolic dysfunction. The weight-adjusted-waist index (WWI) was recently identified as an ideal index that integrates total body fat, muscle mass, and bone mass. This study investigated the relationship between WWI and depressive symptoms in adults.

METHODS

Participants from the National Health and Nutrition Examination Survey (2005-2018) were enrolled. Depressive symptom severity was measured with the Patient Health Questionnaire-9 (PHQ-9). Survey-weighted multivariable logistic regression, subgroup analysis, and generalized additive models were used to determine the relationship between WWI and depressive symptoms.

RESULTS

A total of 34,575 participants were included, with a mean WWI of 11.01; 2,979 participants were suspected of having depressive symptoms (PHQ-9 score ≥ 10). A significant positive association was identified between WWI and depressive symptoms (odds ratio = 1.416, 95 % confidence interval: 1.303-1.539, P < 0.0001). Subgroup analyses suggested that the association between WWI and depressive symptoms was stronger in individuals who were female, overweight, divorced, middle-aged or older (over 40 years old), and had diabetes. Furthermore, the non-linear multivariable regression revealed an inflection point for the WWI at 11.438, and the association was only significant when the WWI was higher than this point.

LIMITATIONS

This study was retrospective and only included participants from the United States; therefore, further validation is needed from studies in other countries, especially middle-to-low-income countries, using longitudinal cohorts.

CONCLUSIONS

This study identified a significant positive association between WWI and depressive symptoms.

Network Structure of Comorbidity Patterns in U.S. Adults with Depression: A National Study Based on Data from the Behavioral Risk Factor Surveillance System

Background

People with depression are at increased risk for comorbidities; however, the clustering of comorbidity patterns in these patients is still unclear.

Objective

The aim of the study was to identify latent comorbidity patterns and explore the comorbidity network structure that included 12 chronic conditions in adults diagnosed with depressive disorder.

Methods

A cross-sectional study was conducted based on secondary data from the 2017 behavioral risk factor surveillance system (BRFSS) covering all 50 American states. A sample of 89,209 U.S. participants, 29,079 men and 60,063 women aged 18 years or older, was considered using exploratory graphical analysis (EGA), a statistical graphical model that includes algorithms for grouping and factoring variables in a multivariate system of network relationships.

Results

The EGA findings show that the network presents 3 latent comorbidity patterns, i.e., that comorbidities are grouped into 3 factors. The first group was composed of 7 comorbidities (obesity, cancer, high blood pressure, high blood cholesterol, arthritis, kidney disease, and diabetes). The second pattern of latent comorbidity included the diagnosis of asthma and respiratory diseases. The last factor grouped 3 conditions (heart attack, coronary heart disease, and stroke). Hypertension reported higher measures of network centrality.

Conclusion

Associations between chronic conditions were reported; furthermore, they were grouped into 3 latent dimensions of comorbidity and reported network factor loadings. The implementation of care and treatment guidelines and protocols for patients with depressive symptomatology and multimorbidity is suggested.

Mediating Role of Depression Between Diabetes Management Self-Efficacy and Diabetes Self-Care Behavior Among Elderly Type 2 Diabetes Mellitus Patients in China

Objective

To investigate the current status of diabetes self-care behavior and the association between depression, self-efficacy and self-care in a sample of Chinese elderly type 2 diabetes mellitus (T2DM) patients.

Methods

A cross-sectional study with a convenient sample including 240 elderly T2DM patients collected the data of demographic characteristics, diabetes self-care behavior, self-efficacy and depression status. The difference of self-care behavior in different sample characteristics was compared by independent t-test. The Personal correlation analysis was employed to examine the correlation of study variables. The method of bootstrap was used to analyze mediating role of depression.

Results

Only 22.5% of patients reported better diabetes self-care behavior and depression partly mediated the association between self-efficacy and self-care behavior. The significant coefficient of path a (B = -0.052, p < 0.001) and path b (B = -0.423, p < 0.05) indicated negative associations of self-efficacy on depression, and depression on self-care behavior. The indirect effect (Path a × b) between self-efficacy and self-care behavior through depression was significant (B = 0.022, p < 0.05), the 95% bias-corrected bootstrap confidence interval was 0.004 to 0.006. Meanwhile, the mediating role of depression was not found significant among the participants reported 60-74 years old (B = 0.104, p < 0.001). But depression completely mediated this association among the participants reported 75-89 years old (B = 0.034, p > 0.05).

Conclusion

The level of diabetes self-care behavior among the elderly T2DM patients in Dahu community of Anqing city was hardly optimistic. The self-efficacy focused intervention could be encouraged for community and clinicians to improve diabetes self-care behavior. Moreover, the prevalence of depression and T2DM is increasing in younger population. More work is needed to confirm these findings, especially conducting cohort studies on different populations.

The association of depression with use of prescription drugs in adults with noncommunicable diseases: Based on NHANES in 2005-2016

BACKGROUND

It is not clear how the noncommunicable diseases (NCDs) performed in the association of depression with use of prescription drugs.

METHODS

This cross-sectional study involved 20,836 participants with at least one NCDs who aged over 20 years old in the National Health and Nutrition Examination Survey (NHANES) from 2005-2016. Ordinal logistic regression under complex sampling was used to examine the association of depression with use of prescription drugs in patients with different categories of NCDs.

RESULT

Among patients with respiratory diseases (OR: 1.41, 95% CI: 1.13-1.76), genitourinary diseases (OR: 1.59, 95% CI: 1.28-1.98), and cardiovascular diseases (OR: 1.43, 95% CI: 1.27-1.60), the risk of depression was higher among those who used prescription drugs than those who did not. The results showed that the association of depression with use of prescription drugs was significantly stronger, especially in patients with genitourinary diseases ≥65 years of age (OR: 1.91, 95% CI: 1.01-3.61). Trend analysis showed that the categories of prescription drugs used and the risk of depression was significantly statistically different (P for trend <0.001).

LIMITATIONS

Self-reported prevalence of depression may differ from actual prevalence of depression. The categories of NCDs studied in this article are limited and the association between specific drugs and depression is not analyzed.

CONCLUSIONS

In patients with NCDs, use of prescription drugs increased the risk of depression, and this risk increased significantly, especially in patients with genitourinary diseases who aged over 65 years. The risk of depression was increasing with the categories of prescription drugs used.

Identification of clinical and psychosocial characteristics associated with perinatal depression in the south Indian population

BACKGROUND

Longitudinal perinatal depression (PND) data is sparsely available in the Indian population. We have employed Edinburgh Postnatal Depression Scale (EPDS) to assess the prevalence and identify characteristics associated with PND in the south Indian population. PND was assessed longitudinally using EPDS scores with traditional cut-off approach as well as a novel method of latent class mixture modeling (LCMM). The LCMM method, to the best of our knowledge, has been used for the first time in the Indian population.

METHODS

Three hundred and forty seven women, predominantly from economically-weaker sections of rural and urban South India were longitudinally assessed for antenatal depression (AD) and postnatal depression (PD) using EPDS cutoff-scores ≥13 and ≥10, respectively. Uni/multivariable analyses were used to identify PND associated characteristics. LCMM was then implemented, followed by risk characteristics identification.

RESULTS

PND prevalence from traditional approach was 24.50 % (12.68 % AD; 18.16% PD). Characteristics associated with PND were urban-site and recent adverse life events. Irregular menstrual history and chronic health issues were associated with AD and PD, respectively. Three distinct PND trajectories were observed from LCMM-analysis: low-risk (76.08%), medium-risk (19.89%) and high-risk (4.04%). Urban-site, recent adverse life events, irregular menstrual history and pregnancy complications were associated with medium-risk/high-risk trajectories.

LIMITATIONS

EPDS is a screening tool and not a diagnostic tool for depression. Since the study population included women from economically-weaker sections, the results need verification in other socio-economic groups.

CONCLUSIONS

Both the traditional cut-off-based approach and LCMM provided very similar conclusions regarding the prevalence of PND and characteristics associated with it. Higher PND prevalence was observed in urban women compared to rural women. In low-income countries, identifying risk characteristics associated with PND is a critical component in designing prevention strategies for PND related conditions because of the limited access to mental health resources.

Psychosocial adjustment of young offspring in the context of parental type 1 and type 2 diabetes: a systematic review

AIMS

To identify all available research on psychosocial outcomes in young people who have a parent with type 1 or type 2 diabetes.

METHODS

Embase, PsychInfo, Scopus, Web of Science, PubMed and ProQuest Social Sciences databases were searched according to a registered study protocol (PROSPERO CRD42019125301). Quality assessment, data extraction and data synthesis were carried out.

RESULTS

The initial search yielded 11 599 articles, 10 of which met the criteria for this review: six for type 1 diabetes and four for type 2 diabetes. Through thematic analysis, five categories emerged related to offspring psychosocial adjustment: offspring mental health, offspring physical health, offspring personal resources, parental illness characteristics and offspring caregiving. Overall, there were few studies focusing solely on the effects of parental type 1 and type 2 diabetes on young people. From the limited available research, there is weak evidence suggesting both parental types of diabetes can adversely impact young offspring. Illness-related variables were only explored in parental type 1 diabetes studies, while offspring caregiving was only examined in parental type 2 diabetes studies.

CONCLUSIONS

Research on the effects of parental diabetes on young people is scarce; however, there was weak evidence to suggest some young people are at risk of adverse psychosocial impacts. Given the rise in the incidence of diabetes globally, there is a pressing public health need to conduct more rigorously designed studies to ascertain the extent to which young people are at risk of mental and physical health problems and to identify risk and protective factors associated with youth adjustment in the context of parental diabetes.

Disability and severe depression among Peruvian older adults: analysis of the Peru Demographic and Family Health Survey, ENDES 2017

BACKGROUND

Depression is considered a mental health-related disability that affects approximately 350 million people worldwide. On the other hand, it is estimated that 15% of the world's population lives with some form of disability, and this scenario is currently riddled with the global burden of mental disorders, non-communicable diseases and other age-related comorbidities.

AIM

To assess the association between disability and depression among Peruvian older adults.

METHODS

We used data from the 2017 Peru Demographic and Familiar Health Survey, with a focus on adults aged 50 years and older. Whereas the presence of disability was assessed using different questions of the survey, depression was measured with the Patient Health Questionnaire-9 (PHQ-9). We calculated the adjusted prevalence ratios (aPR) using Poisson regression models with log link function, with their respective 95% confidence intervals (95% CI).

RESULTS

From the study population, 5% had a disability. In addition, 43.3% were screened positive for depression (13.2% for moderately severe/severe). After adjusting for confounding variables, disability was associated with moderate and severe depression (aPR: 1.06; 95% CI: 1.01-1.11, aPR: 1.10; 95% CI: 1.05-1.15).

CONCLUSION

Disability was positively associated with moderate and severe depression. Public health policies should address the early diagnosis and rehabilitation of patients with any of these problems. Likewise, coping strategies should be promoted among families of persons with disabilities.

How to collect non-medical data in a pediatric trial: diaries or interviews

BACKGROUND

Non-medical data, such as the amount of time that patients and caregivers spend managing their condition, may be relevant when assessing therapeutic strategies. For chronic pediatric conditions, the time that patients and caregivers spend in seeking and providing care (which are the indirect costs in an economic evaluation) can be significantly different depending on the treatment arm. To explore methods for collecting information on the care burden for caregivers and patients, we investigated whether a patient diary provided additional information compared to retrospective investigator-led interviews and whether a diary that was completed intermittently produced more or less information than a diary completed continually. The main objective of this study was to identify which type of data collection was most effective for measuring the time spent by caregivers and for estimating indirect treatment costs over 9 months.

METHODS

Start-In! is a randomized controlled trial comparing the efficacy of three strategies of real-time continuous glucose monitoring for 12 months in children and adolescents with type 1 diabetes. We designed an ancillary study to assess methods of collecting information on the time spent by patients and caregivers in managing their condition (indirect costs). Data were entered retrospectively in case report forms (CRFs) by investigators during quarterly follow-up visits, which were supplemented with diaries completed prospectively by children or caregivers either continuously or intermittently. Data about absences from school and work as well as the time that caregivers spent on diabetes care were collected and the three collection methods were compared.

RESULTS

At the end of the 9-month study, 42% of the study participants failed to return their diary. For the diaries that were received, less than 10% of expected data were collected versus 82% during investigators'interviews. Based on all the information collected, we calculated that over 9 months, caregivers lost on average 3.9 days of working time (€786) and 4 days of personal time, i.e. the equivalent of €526, and spent around 15 min of time on care per day, i.e. the equivalent of €1700.

CONCLUSIONS

The CRFs completed by investigators during quarterly visits cannot be replaced by a diary. Completing the diaries appeared to represent an important additional burden to children and their caregivers, and the diaries provided little additional information compared to investigators' entries in the CRF.

TRIAL REGISTRATION

ClinicalTrials.gov, NCT00949221. Registered on 30 July 2009. Registry name: Study of Insulin Therapy Augmented by Real Time Sensor in Type 1 Children and Adolescents (START-IN!).