Exploring the Link between the Components of Metabolic Syndrome and the Risk of Depression

Examining the cross-sectional relationship of platelet/high-density lipoprotein cholesterol ratio with depressive symptoms in adults in the United States

AIMS

Herein, we examined the correlation between platelet/high-density lipoprotein cholesterol ratio (PHR) and symptoms of depression among United States adults.

METHODS

Data acquired from the 2007-2018 National Health and Nutrition Examination Survey, involving individuals ≥ 20 years of age, with available PHR and depression diagnosis information. We employed weighted uni- and multivariable logistic regression analyses to assess the distinct correlation between PHR and depressive symptoms. Additionally, we conducted subgroup, interaction, and restricted cubic spline analyses.

RESULTS

In all, 28,098 subjects were recruited for analysis, with 8.04% depression status and 19.31 ± 0.11 mean PHR value. Depressive symptoms increased with higher quartiles of PHR. Following fully confounder adjustments in model 2, participants with the largest PHR quartiles exhibited a 53% (OR: 1.53, 95%CI: 1.00-2.33, P = 0.05) raised depressive symptoms, relative to participants with least PHR quartiles. Based on the two-piece-wise regression, the breakpoint was PHR = 23.76, and a positive association was more evident when PHR < 23.76 (OR = 1.06, 95%CI: 1.02-1.10, P = 0.01). When PHR ≥ 23.76, the correlation disappeared (P = 0.85). Using subgroup and interaction analyses, we revealed a positive relationship between PHR and depressive symptoms almost consistent among various population settings.

CONCLUSIONS

A convenient biomarker, the PHR was independently associated with an increased risk of depressive symptoms and may be a promising new bioindicator for the prediction of depression diagnosis.

Incidence and risk factors of depression in patients with metabolic syndrome

BACKGROUND

Many studies have explored the relationship between depression and metabolic syndrome (MetS), especially in older people. China has entered an aging society. However, there are still few studies on the elderly in Chinese communities.

AIM

To investigate the incidence and risk factors of depression in MetS patients in mainland China and to construct a predictive model.

METHODS

Data from four waves of the China Health and Retirement Longitudinal Study were selected, and middle-aged and elderly patients with MetS (n = 2533) were included based on the first wave. According to the center for epidemiological survey-depression scale (CESD), participants with MetS were divided into depression (n = 938) and non-depression groups (n = 1595), and factors related to depression were screened out. Subsequently, the 2-, 4-, and 7-year follow-up data were analyzed, and a prediction model for depression in MetS patients was constructed.

RESULTS

The prevalence of depression in middle-aged and elderly patients with MetS was 37.02%. The prevalence of depression at the 2-, 4-, and 7-year follow-up was 29.55%, 34.53%, and 38.15%, respectively. The prediction model, constructed using baseline CESD and Physical Self-Maintenance Scale scores, average sleep duration, number of chronic diseases, age, and weight had a good predictive effect on the risk of depression in MetS patients at the 2-year follow-up (area under the curve = 0.775, 95% confidence interval: 0.750-0.800, P < 0.001), with a sensitivity of 68% and a specificity of 74%.

CONCLUSION

The prevalence of depression in middle-aged and elderly patients with MetS has increased over time. The early identification of and intervention for depressive symptoms requires greater attention in MetS patients.

The association between non-high-density lipoprotein cholesterol to high-density lipoprotein cholesterol ratio (NHHR) and risk of depression among US adults: A cross-sectional NHANES study

BACKGROUND

NHHR (non-high-density lipoprotein cholesterol to high-density lipoprotein cholesterol ratio) is a new lipid parameter used to assess the risk of cardiovascular disease. However, the association between NHHR and the risk of depression has not been studied before.

METHODS

We conducted a cross-sectional study using datasets from the National Health and Nutrition Examination Survey (NHANES) 2005-2016. The PHQ-9 questionnaire was used to evaluate depression. A weighted multivariable logistic regression model and a restricted cubic spline (RCS) model were applied to investigate the association between NHHR and depression risk. Additionally, subgroup and sensitivity analyses were conducted to test the robustness of the results.

RESULTS

In the total population, compared with the lowest reference group of NHHR, participants in the fourth quartile had a significantly increased risk of depression after full adjustments (OR: 1.61, 95%CI: 1.05-2.49). A linear dose-response relationship existed between NHHR and depression risk (P non-linearity = 0.264). The association remained significant in several subgroup analyses.

LIMITATIONS

The cross-sectional design and use of self-reported scales.

CONCLUSION

NHHR was significantly associated with a higher risk of depression in U.S. adults. Additional research on NHHR would help in depression prevention and treatment.

Association of metabolic syndrome with depression in US adults: A nationwide cross-sectional study using propensity score-based analysis

Background

The association of metabolic syndrome (MetS) with depression has been previously reported; however, the results are ambiguous due to imbalanced confounding factors. Propensity score-based analysis is of great significance to minimize the impact of confounders in observational studies. Thus, the current study aimed to clarify the influence of MetS on depression incidence in the U.S. adult population by using propensity score (PS)-based analysis.

Methods

Data from 11,956 adults aged 20-85 years from the National Health and Nutrition Examination Survey (NHANES) database between 2005 and 2018 were utilized. Using 1:1 PS matching (PSM), the present cross-sectional study included 4,194 participants with and without MetS. A multivariate logistic regression model and three PS-based methods were applied to assess the actual association between MetS and depression incidence. Stratified analyses and interactions were performed based on age, sex, race, and components of MetS.

Results

After PSM, the risk of developing depression in patients with MetS increased by 40% in the PS-adjusted model (OR = 1.40, 95% confidence interval [CI]: 1.202-1.619, P < 0.001), and we could still observe a positive association in the fully adjusted model (OR = 1.37, 95% CI: 1.172-1.596, P < 0.001). Regarding the count of MetS components, having four and five conditions significantly elevated the risk of depression both in the PS-adjusted model (OR = 1.78, 95% CI: 1.341-2.016, P < 0.001 vs. OR = 2.11, 95% CI: 1.626-2.699, P < 0.001) and in the fully adjusted model (OR = 1.56, 95 CI%: 1.264-1.933, P < 0.001 vs. OR = 1.90, 95% CI: 1.458-2.486, P < 0.001). In addition, an elevation in MetS component count was associated with a significant linear elevation in the mean score of PHQ-9 (F =2.8356, P < 0.001). In the sensitivity analysis, similar conclusions were reached for both the original and weighted cohorts. Further interaction analysis revealed a clear gender-based difference in the association between MetS and depression incidence.

Conclusion

MetS exhibited the greatest influence on depression incidence in US adults, supporting the necessity of early detection and treatment of depressive symptoms in patients with MetS (or its components), particularly in female cases.

Association Between Depression and Metabolic Syndrome in Korean Adults: Data From the 2014 and 2016 Korea National Health and Nutrition Examination Survey

This study aimed to examine the association of depression with metabolic syndrome and to investigate levels of awareness and treatment of depression in Korean adults. We analyzed data extracted from the Korea National Health and Nutrition Examination Survey (2014 and 2016) using the Patient Health Questionnaire-9 depression screening instrument. Among the survey participants, 10 459 were selected for data analysis. Of them, 7.2% had depression, 24.4% had metabolic syndrome, and 10.0% had both depression and metabolic syndrome. Among those with depression, 33.1% were aware of their condition and 25.7% received treatment, with significant differences found between those with and without metabolic syndrome. The mean Patient Health Questionnaire-9 scores significantly increased with the number of metabolic syndrome components ( F = 6.06, P = <.001). In logistic regression analysis, the odds ratio (OR) for depression with metabolic syndrome was 1.41 (95% confidence interval [CI] = 1.12-1.76). For the number of metabolic syndrome components, having 2 (OR = 1.37, 95% CI = 1.01-1.86), 3 (OR = 1.57, 95% CI = 1.12-2.21), 4 (OR = 1.95, 95% CI = 1.32-2.87), and 5 (OR = 2.18, 95% CI = 1.38-3.46) conditions significantly increased the OR for depression. Including depression in the management of metabolic syndrome could help make people with depression more aware of their condition.

Depression and metabolic syndrome in the older population: A review of evidence

BACKGROUND

Metabolic syndrome (MetS) has been shown to be associated with depression in older adults but the results are mixed. We summarized and evaluated the association between depression and MetS in people aged 60 years or over.

METHODS

Relevant published studies from January 1997 to July 2017 were identified by searching two electronic databases: PubMed/Medline and EMBASE. Observational studies were considered.

RESULTS

Twelve studies were included in the systematic review. Depression seemed to be related with MetS in the majority of the studies (10/12 = 83.3%). As far as the longitudinal studies are concerned, the onset of depression was related to MetS in 2 out of 3 studies (66.6%), while a relation between chronicity of depression and MetS was reported (1 study). Regarding cross-sectional studies, 7 out of 9 (77.7%) concluded that there was a positive association between depression and MetS. Mixed evidence was found among studies concerning the association between depression and the individual components of MetS. Four out of ten studies (40%) reported that depression was significantly associated with the waist circumference, a component of MetS.

LIMITATIONS

There was a high degree of heterogeneity between studies regarding their design. Only studies written in English, from peer-reviewed journals were included.

CONCLUSIONS

Depression seemed to be significantly associated with MetS in people aged 60 years or over. Among the components of MetS, abdominal obesity seemed to be associated more strongly and consistently with depression. The direction of the causality and mechanisms underlying the relationship are still largely unknown.