Skip to main content

Potential metabolic monitoring indicators of suicide attempts in first episode and drug naive young patients with major depressive disorder: a cross-sectional study

Abstract

Backgrounds

Major depressive disorder is an ordinary mental disorder, and suicide is considered to be a major concern among patients with MDD. Previous studies focused on the relationship between suicide attempts and metabolism in elderly patients with MDD, while ignore the young people. The aim of this study is to find the potential relationship between suicide attempts and metabolism in young patients with MDD to find a way to prevent and ultimately reduce suicide in young patients with MDD.

Methods

Cross-sectional design was employed in the study.740 patients aged between 18 and 45 years old with MDD had been consecutively recruited in this study between 2011 and 2017, 128 of whom had suicide attempts. Their serum samples used to monitor fasting blood glucose, serum lipids as well as socio-demographic characteristics were collected. Besides, some clinical scales were also employed to measure symptoms of anxiety, depression and other conditions.

Results

This study indicated that compared with non-suicide attempters, suicide attempters in young patients with MDD showed higher levels of FBG, TC, LDL-C (all p <  0.05) and lower levels of HDL-C(p <  0.001). Further logistic regression analysis suggested that suicide attempts were associated with increased FBG, decreased HDL-C, the course of disease, HAMD scores and obvious anxiety.

Conclusions

Suicide attempts in young patients with MDD may be predicted by metabolic levels in the future. And our findings suggested that the level of FBG and HDL-C can be promising biomarkers to predict the occurrence of this event.

Peer Review reports

Background

Major depressive disorder (MDD) is a common mental disorder characterized by an insidious onset and recurrent course. It manifests as depressed, reduced interest, impaired concentration, insomnia or even intense suicidal ideation [1]. MDD is recognized as one of the leading causes of burden, which is associated with increased years lived with disability (YLDs) [2]. Suicide is common in MDD and is considered to be a major concern among patients with MDD [3]. Suicidal behavior is a global cause of injury and mortality, with the World Health Organization (WHO) ranking it as the 15th leading cause of death [4]. Thus, it is arguably the most severe consequence of MDD [5].

Earlier studies have indicated that current major episode of depression [6], gender [7], age, education level, chronic diseases [8], the disturbance of metabolism [9], alcohol dependence [10], smoking [11], among others, are risk factors for suicide attempts. However, the exact mechanisms underlying these risk factors remain unknown. According to the data from WHO in 2017, about 800,000 people commit suicide worldwide every year. The incidence of suicide among youth is higher than among other age groups; the WHO defines youth as those aged between 18 and 45 years. Further, rapid growth in the incidence of suicide occurs between the early period of adolescence and young adulthood [12]. Young people are the backbone of a nation; thus, suicidal attempts among youth warrant social concerns.

Research suggests that metabolic levels have a bidirectional relationship with psychological distress [13] and are also associated with suicide attempts. The relationship between metabolism and suicide attempts has been discussed in many studies. For instance, a community-based cohort study reported that metabolic abnormalities were correlated with suicide [14]. The sample for this study was drawn from the community and all participants were greater than 30 years of age; none had specific mental health diseases. It could be better if they also focused on other different health care systems or more specific people. Another study reported that lower serum cholesterol and triglyceride levels were in men with the bipolar disorder, who had attempted suicide relative to those who had not attempted suicide [9]. However, another study of patients with bipolar disorder aged between 21 and 60 years found that the incidence of suicide attempts was associated with higher cholesterol levels [15]. Thus, both studies examined the correlation between serum cholesterol and suicide among bipolar disorder patients, but each study came to a different conclusion. It should be noted that several other studies have reported that low cholesterol increases suicide risk [16,17,18]. Nonetheless, this association requires further investigation. Research also suggests that blood glucose levels are associated with suicide risk. A pilot study suggested that abnormal glucose metabolism may reflect biological changes prior to or concomitant with suicide [19]. Diabetes mellitus among patients with depression is also associated with a higher rate of suicide attempts [20]. What’s more, a cohort study about investigating the risk factors for future suicide found that diabetes rather than increased blood glucose was associated with suicide [21]. However, due to the low incidence of metabolic diseases in young people, most studies have neglected to study this group. Further, we speculate that abnormal metabolism in patients with depression, although not up to the disease standard, may also have an impact on suicidal behavior [22].

When considering the published literature, it is clear that there are few studies that have investigated the relationship between metabolic levels and suicide attempts in patients with MDD, and among the available studies, few have studied youth. For example, one study of patients with MDD found that serum lipid levels were associated with suicide attempts in adults [23]. Another found that glucose disturbances and lipid metabolism disturbances commonly exist in patients with depression aged 35 years and older [24].Since of all the age groups, the incidence of suicide in youth is higher. However, most related studies either concentrated on the whole crowd nor on the middle-aged and elderly, while ignoring the group of youth. The group of youth is worthy of attention, for they are pillars of the society. Further, due to life pressures and other factors, an increasing number of young people experience depression; some ignore it at first and it can then develop into MDD with an increased risk of suicide. Given the potential links between metabolic levels and suicide attempts in adults with MDD, we speculated that the relationship between metabolic levels and suicide attempts in young patients with MDD can also be found. Specifically, we speculated that changes in blood glucose and cholesterol levels may directly or indirectly influence the occurrence of suicide attempts in young patients with MDD.

Therefore, in the current study, we systematically analyzed the correlations between metabolic levels and suicide attempts in patients with MDD aged 18–45 years. It was hoped that these results would contribute to the identification of biomarkers for suicide ideation in MDD so that early intervention can be achieved.

Methods

Study design

A cross-sectional design was employed in this study. The aim of this study was to identify if there is a relationship between suicide attempts and metabolism in young patients with MDD, with the goal of effectively preventing and ultimately reducing the incidence of suicide in young patients with MDD.

Subjects

In total, 740 patients with MDD, who met the inclusion and exclusion criteria, were consecutively recruited to this study between 2011 and 2017; 128 of the patients had attempted suicide previously. The study inclusion criteria were: (1) Han ethnicity, aged between 18 and 45 years; (2) conformed diagnosis of MDD based on the DSM-IV; (3) score of 24 or greater on the 17-item Hamilton Rating Scale for Depression (HAMD) and patients experiencing their first episode of depression at the time of enrolment in the study; (4) no previous use of antidepressants or antipsychotics. The exclusion criteria were: (1) psychiatric diagnosis other than MDD; (2) patient is labile or has a severe physical condition, for example, epilepsy, liver or kidney diseases, diabetes, or heart disease; (3) patient is pregnant or breastfeeding; (4) patient has a drug addiction or alcohol dependence; (5) patient refuses to participate. Patients who agreed to participate were required to give a detailed medical history and then underwent a systematic physical examination as well as laboratory testing.

Collection and evaluation of socio-demographic and clinical measures

The socio-demographic data included age, course of disease, age at onset, gender, cultural degree, marital status, and body mass index (BMI). Further, for patients with MDD who had previous suicide attempts, detailed information about these attempts was collected.

The 17-item HAMD was used to quantify each patient’s severity of depression. The HAMD ratings were confirmed by semi-structured clinical interviews with a maximum score of 52 [25]. The standard for evaluation was as follows: ≤7, not depressed; ≥8, depressed; ≤17, mild to moderate depressive symptom; and ≥ 24, severe depression [26]. The cut-point of 24 was used to distinguish the presence or absence of MDD.

In addition, the Hamilton anxiety rating scale (HAMA) was employed to comprehensively measure the severity of perceived anxiety symptoms. Items on this measure are rated on a 5-point scale from 0 (not present) to 4 (severe). The maximum total HAMA score is 56 [27]. If the total score reaches or exceeds 21, the patient is considered to have obvious anxiety symptoms.

The Positive and Negative Syndrome Scale (PANSS) was employed to find whether there is a connection between suicide attempt and psychotic symptom in patients with MDD or not, because the independent increase of positive symptoms of psychosis as well as the symptoms of depression can lead to the increase of suicidal ideation [28, 29]. Each item is scored on a 7-point scale based on the level of psychopathology. In this study, patients with a total positive symptom subscale score reaching or exceeding 15 were defined as having psychotic symptoms [29, 30].

The Mini-International Neuropsychiatric Interview (MINI) was used to ensure the accuracy and consistency of the diagnostic process. The MINI comprises modules for 17 psychiatric diagnoses. Each item is answered either “yes” or “no”. In order to facilitate responses, examples are provided for each question.

Requests of the staff

At least two qualified psychiatrists who had received good training on the use of the HAMD, HAMA, and PANSS scales were needed for this study. After staff training, the inter-rater correlation coefficient for each scale was greater than 0.8. All interviewers were completely unaware of the patient’s condition before the interview process.

Measurement of suicide attempts

Suicide attempt was defined as the presence of suicidal thoughts or an attempt at suicide, but for various reasons, suicide was not successful or complete. Each patient was carefully asked whether they had attempted suicide in their lifetime; if they answered yes, they were categorized as a suicide attempter. Then, suicide attempters were asked further questions to determine the frequency, approach, and date of their suicide attempts. If they answered uncertainly or unclearly, complementary information was gained by asking their family members, relatives, or friends. In this study, suicide attempts in patients with MDD were related to this depressive disorder.

Collection and detection of serum samples and others

Overnight fasting blood samples of the patients were collected by the nurses and then delivered to the hospital’s laboratory center to be measured by a chemiluminescence immunoassay using Cobas E610 (Roche, Basel, Switzerland). The serum indices measured included: fasting blood-glucose (FBG), total cholesterol (TC), high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL-C) and triglyceride (TG). The normal range for each index was 3.90–6.10 mmol/L for FBG, less than 5.17 mmol/L for TC, 1.04–2.07 mmol/L for HDL-C, less than 3.10 mmol/L for LDL-C, and 0.56–1.69 mmol/L for TG. Further, systolic blood pressure (SBP) and diastolic blood pressure (DBP) were also monitored.

Statistical analysis

Socio-demographic data and clinical characteristics were compared between participants with and without suicide attempts with the use of one-way analysis of variance (ANOVA) and the Chi-squared test. In addition, binary logistic regression analysis was utilized to analyze the factors associated with suicide attempts in young patients with MDD. Odds ratios (ORs) and 95% confidence intervals (95% CIs) were evaluated. The dependent variable was whether or not the patient with MDD had attempted suicide and the independent variables were age, course of disease, gender, cultural degree, marital status, HAMD score, psychotic symptoms, obvious anxiety, FBG, TC, HDL-C, TG, and LDL-C. Then Pearson correlation analysis was used to explore the potential correlations between the serum indicators and clinical variables. Bonferroni corrections were used to adjust for multiple testing. All tests were two-sided with a p value of 0.05. Correlations were quantified and assessed by coefficient values, and the effect size. Data analysis was conducted by using SPSS version 25.0 (SPSS Inc., Chicago, IL).

Results

Table 1 compares the socio-demographics, clinical characteristics, and metabolic indices of patients with MDD who had attempted suicide with those who had not. In total, 128 of the 740 (17.3%) patients with MDD had attempted suicide while the remaining 612 patients (82.7%) were classified as non-suicide attempters. Compared with non-suicide attempters, suicide attempters had relatively higher serum levels of FBG, TC, and LDL-C, and lower HDL-C levels (all p <  0.05). Further, young patients with MDD who had attempted suicide also showed differences in the course of the disease, HAMD scores, HAMA scores, PANSS scores, and blood pressure compared with those who had not attempted suicide (all p <  0.05).

Table 1 Socio-demographics, clinical characteristics and metabolic indictors between patients with and without suicide attempts

Further binary logistic regression analysis(Table 2) indicated that in young patients with MDD, suicide attempts were related to the course of disease, with an OR of 1.111 (95% CI: 1.043–1.184; df = 1, p <  0.01), HAMD scores, with an OR of 1.217 (95% CI: 1.105–1.341; df = 1, p <  0.001), obvious anxiety, with an OR of 3.050 (95% CI: 1.806–5.149; df = 1, p <  0.001), increased FBG, with an OR of 1.918 (95% CI: 1.104–3.331; df = 1, p <  0.05), and decreased HDL-C, with an OR of 1.794 (95% CI: 1.127–2.857; df = 1, p <  0.05).

Table 2 Logistic regression for factors associated with suicide attempts in patients with MDD

Pearson correlation analysis revealed significant correlations between FBG levels and the following parameters: depression (r = 0.282, df = 740, p <  0.001), positive symptoms (r = 0.149, df = 740, p <  0.001), and anxiety (r = 0.091, df = 740, p = 0.013). There were also significant correlations between TC and depression (r = 0.563, df = 740, p <  0.001), positive symptoms (r = 0.215, df = 740, p <  0.001), and anxiety (r = 0.277, df = 740, p <  0.001). Further, LDL-C was significantly correlated with depression (r = 0.365, df = 740, p <  0.001), positive symptoms (r = 0.122, df = 740, p <  0.001), and anxiety (r = 0.193, df = 740, p <  0.001). Finally, HDL-C was significantly associated with depression (r = − 0.168, df = 740, p <  0.001), positive symptoms (r = − 0.117, df = 740, p = 0.001), and anxiety (r = − 0.086, df = 740, p = 0.019) (Table 3). Aside from the significant correlations between level of FBG and anxiety (p = 0.013) and between level of LDL-C and anxiety (p = 0.019), all significant differences passed Bonferroni correction (Bonferroni corrected p <  0.05/12 = 0.0042).

Table 3 Inter-corrections between some serum variables and clinical variables

Discussion

To the best of our knowledge, this study is the first to focus on exploring the relationship between metabolic levels and suicide attempts among young (aged 18–45 years), first episode, drug-naive patients with MDD. The sample size of this study was relatively large. The study aimed to examine potential relationships between suicide attempts and metabolic levels in young patients with MDD to identify a promising way to effectively prevent and ultimately reduce the incidence of suicide in young patients with MDD.

In general, this study found that, among young patients with MDD, suicide attempts were associated with relatively high levels of FBG, TC, and LDL-C in serum, low levels of HDL-C, and high blood pressure readings; these indices may be promising biomarkers for evaluating the risk of suicide attempts in patients with MDD. Binary logistic regression analysis suggested that course of the disease, HAMD score, elevated FBG level, decreased HDL-C level, and obvious anxiety were independent risk factors for suicide attempts in young patients with MDD.

In general, the course of the disease and HAMD scores can reflect the severity of MDD, which may predict the occurrence of suicide attempts in patients. Further, the findings of the current study suggest that high serum FBG levels are associated with suicide risk in patients with MDD aged from 18 to 45, which is in accordance with previous studies, to a certain extent. Koponen found higher levels of blood glucose in the oral glucose tolerance test (OGTT) at baseline and 2 h in patients with depression who had attempted suicide compared to those without suicide attempts [24]. Other studies also reported the relationship between high level of blood glucose and suicide. Batty et al. conducted a 14-year follow up study and found that increased fasting blood glucose increased the risk of suicide [21]. Further, Ko et al. reported that elevated levels of fasting plasma glucose may lead to suicidal risk [31]. Glucose is a ubiquitous source of energy and provides energy to human brain cells. Some psychological processes, such as self-control and regulation of emotions, are associated with the supply of glucose in brain cells [32]. Elevated peripheral blood glucose can reflect intracellular glucose deficiency. When brain cells lack glucose, the dysregulation of emotions may occur, which can lead to aggressive impulses, pessimism and impulsivity. Hyperglycemia is a decrease in the ability of cells to absorb circulating glucose due to insulin deficiency or insulin resistance. This may explain why Diabetes mellitus combined with depression showed higher past rate of suicide attempts. Morbid blood glucose metabolism can greatly aggravate the risk of suicide attempts. Thus, we speculate that fluctuant blood glucose in the normal range, particularly elevated blood glucose, influences the uptake of glucose in brain cells, which can also increase the risk of suicide attempts. Moreover, we found correlations between FBG levels and depression, anxiety, and psychotic symptoms. Suicidal ideation can be further amplified when depression worsens [33]. Furthermore, Wanqiu Yang et al. suggested that anxiety deteriorated the depression and in patients with MDD increased the rate of suicide attempts [34]. Elevated glucose levels are associated with mood disorders [35]. Thus, we speculate that changes in FBG, especially increases in FBG, can also indirectly increase the risk of suicide attempts by aggravating the degree of anxiety, depression symptoms, and psychotic symptoms.

Our study also revealed that patients with MDD, aged 18–45 years, who had attempted suicide had higher TC and LDL-C levels than non-attempters. This is in contrast to the findings of some studies. For example, in a study of patients in Northern Mexico, Segoviano-Mendoza et al. found that patients with MDD who had attempted suicide had lower levels of cholesterol compared with healthy people [18].The difference may occurred by the regional disparities and the ways of comparison was different from us. What’s more, Papadopoulou et al. suggested that psychiatric patients who were used to have suicidal attempts showed lower TC than normal people [36]. However, the sample size of this study was relatively small and the sample was comprised of patients with heterogeneous psychiatric disorders. Interestingly, Bartoli et al. found that serum cholesterol was not associated with suicide attempts [16]. The participants in this study included patients who had taken antipsychotics and / or antidepressants before, and drugs can have an effect on serum cholesterol levels as well as lead to confounding factors of the results. Besides, the average age of the patients in the above study was relatively high. However, some other studies drew another conclusion. For instance, Brunner et al. suggested that serum cholesterol and suicide had a positive association [37]. According to 2010 Korean National Health and Nutrition Examination Survey, Sun-Mi Kim et al. found that people with suicidal ideation had relatively higher TC than those without suicidal ideation [38]. Nevertheless, this study put the emphasis on the relationship between metabolic syndrome and suicidal ideation in adolescents and adults, without specific reference to patients with MDD. Even though, we can also get inspired that the level of cholesterol may be different in different groups or conditions.

Our study focused on young people based on the premise that, due to the modern lifestyle and improvements in living standards, an increasing number of young people are susceptible to dietary or other factors that may influence serum lipid levels. Besides, previous studies have focused on western samples, while the current study was conducted with a Chinese sample. These factors may underlie the variation in findings observed here relative to the published literature. In short, the relationship between suicide attempts and both TC and LDL-C levels remain controversial to some extent; however, it may be possible to use level of HDL-C to predict suicide attempts in young patients with MDD based on our finding that decreased HDL-C level was a significant risk factor of suicide attempts in young patients with MDD. We also found relationships between HDL-C and anxiety, depression, and psychotic symptoms. Previous studies reported that the increase of positive symptoms as well as the symptoms of depression can increase the risk of suicidal ideation [28, 29]. Further, Capron et al. reported that anxiety can amplify the stress response, which in turn can increase the suicidal tendency [33]. What’s more, Buydens-Branchey et al. reported that low HDL-C was associated with reduced 5-HT function [39]. When 5-HT function reduced, it can aggravate the degree of depression and increase the risks of suicide behaviors. So, we speculated that clinical states may take part in the potential link between HDL-C and suicide attempts. The result is also similar with other previous studies, for example, Zhang J et al. found that low level of HDL-C was associated with suicide attempt in young healthy women. Although the participants didn’t have depression, the results may inspire us that the connection between HDL-C and suicide attempt is direct [40]. Further, Maes et al. made a research and found that depressed men with suicide attempt had a significantly lower level of HDL-C than those without suicide attempt [41]. As for the potential mechanisms, there are still no final conclusions and there are few studies on the relationship between HDL-C and suicide attempt in patients with MDD. Maybe some related personality traits or perceived stress are potential mediators for such link. Firstly, personality traits can affect emotional perception, decision-making, and then behavior [42]. For example, Peters et al. reported that impulsivity was associated with suicide attempt [43]. And low serum cholesterol has something to do with impulsivity [44]. So, we thought that impulsive personality may play a role between HDL-C and suicide attempt. Even though, further studies are still necessary to find the potential mechanism. What’s more, referring to perceived stress, Shelef et al. reported that perceived stress was identified as one of primary determinants among young suicide attempters [45]. And Gowey MA reported that increased depressive symptoms and perceived stress are usually associated with decreased level of HDL [46]. So, we considered that a certain degree of perceived stress may take part in the influence of lower HDL-C on suicide attempts.

The current study did have several limitations that should be considered. Firstly, the cross-sectional design does not allow for the determination of causal relationships between metabolic levels and suicide attempts in young patients with MDD. Therefore, a longitudinal design should be considered in future studies in order to study causal relationships. Secondly, several socio-demographic factors that may influence the results were not included in the current study. For instance, alcohol consumption, cigarette smoking, and economic conditions. Thirdly, the current study was restricted to a certain age group. Future studies should include a larger age range.

Conclusions

Identifying strong and accurate risk factors is a promising way to effectively prevent and ultimately reduce the incidence of suicide in young patients with MDD. The findings of the current study revealed that, in young patients with MDD with suicide attempts, levels of metabolic indicators were quite different from those of young MDD patients without suicide attempts. Among the metabolic indicators, we found that levels of FBG and HDL-C were promising biomarkers; in particular, elevated FBG levels and decreased HDL-C levels. The results are important for clinical practice as changes in serum indicators or psychiatric symptoms may predict a certain risk of suicide attempts in young patients with MDD. Nonetheless, further studies are still needed to clarify the intrinsic relationships between metabolism and suicide attempts in young patients with MDD, as the results of the current study were inconsistent with previous studies in some instances. There are several potential factors that could account for these differences; these require further study in the future.

Availability of data and materials

Data can be gained from the corresponding author.

Abbreviations

MDD:

Major Depressive Disorder

YLD:

Years Lived with Disability

HAMD:

Hamilton Depression Rating Scale

HAMA:

Hamilton Anxiety Rating Scale

PANSS:

The Positive and Negative Syndrome Scale

BMI:

Body Mass Index

SBP:

Systolic Blood Pressure

DBP:

Diastolic Blood Pressure

FBG:

Fasting Blood Glucose

TC:

Total Cholesterol

HDL-C:

High-density Lipoprotein Cholesterol

LDL-C:

Low-density Lipoprotein Cholesterol

TG:

Triglyceride

References

  1. Uher R, Payne JL, Pavlova B, Perlis RH. Major depressive disorder in DSM-5: implications for clinical practice and research of changes from DSM-IV. Depress Anxiety. 2014;31(6):459–71.

    PubMed  Google Scholar 

  2. Ferrari AJ, Charlson FJ, Norman RE, Patten SB, Freedman G, Murray CJL, Vos T, Whiteford HA. Burden of depressive disorders by country, sex, age, and year: findings from the global burden of disease study 2010. PLoS Med. 2013;10(11):e1001547.

    PubMed  PubMed Central  Google Scholar 

  3. Dong M, Wang S-B, Li Y, Xu D-D, Ungvari GS, Ng CH, Chow IHI, Xiang Y-T. Prevalence of suicidal behaviors in patients with major depressive disorder in China: a comprehensive meta-analysis. J Affect Disord. 2018;225:32–9.

    PubMed  Google Scholar 

  4. Klonsky ED, May AM, Saffer BY. Suicide, suicide attempts, and suicidal ideation. Annu Rev Clin Psychol. 2016;12:307–30.

    PubMed  Google Scholar 

  5. Holma KM, Melartin TK, Haukka J, Holma IA, Sokero TP, Isometsa ET. Incidence and predictors of suicide attempts in DSM-IV major depressive disorder: a five-year prospective study. Am J Psychiatry. 2010;167(7):801–8.

    PubMed  Google Scholar 

  6. Popovic D, Vieta E, Azorin JM, Angst J, Bowden CL, Mosolov S, Young AH, Perugi G. Suicide attempts in major depressive episode: evidence from the BRIDGE-II-mix study. Bipolar Disord. 2015;17(7):795–803.

    PubMed  Google Scholar 

  7. Jeon HJ, Woo JM, Kim HJ, Fava M, Mischoulon D, Cho SJ, Chang SM, Park DH, Kim JW, Yoo I, et al. Gender differences in somatic symptoms and current suicidal risk in outpatients with major depressive disorder. Psychiatry Investig. 2016;13(6):609–15.

    PubMed  PubMed Central  Google Scholar 

  8. Barnes AJ, Eisenberg ME, Resnick MD. Suicide and self-injury among children and youth with chronic health conditions. Pediatrics. 2010;125(5):889–95.

    PubMed  Google Scholar 

  9. Vuksan-Cusa B, Marcinko D, Nad S, Jakovljević M. Differences in cholesterol and metabolic syndrome between bipolar disorder men with and without suicide attempts. Prog Neuro-Psychopharmacol Biol Psychiatry. 2009;33(1):109–12.

    CAS  Google Scholar 

  10. Lin JY, Huang Y, Su YA, Yu X, Lyu XZ, Liu Q, Si TM. Association between perceived stressfulness of stressful life events and the suicidal risk in Chinese patients with major depressive disorder. Chin Med J. 2018;131(8):912–9.

    PubMed  PubMed Central  Google Scholar 

  11. Mann JJ, Waternaux C, Haas GL, Malone KM. Toward a clinical model of suicidal behavior in psychiatric patients. Am J Psychiatry. 1999;156(2):181–9.

    CAS  PubMed  Google Scholar 

  12. Cha CB, Franz PJ, Guzmán EM, Glenn CR, Kleiman EM, Nock MK. Annual research review: suicide among youth - epidemiology, (potential) etiology, and treatment. J Child Psychol Psychiatry. 2018;59(4):460–82.

    PubMed  Google Scholar 

  13. Roohafza H, Sadeghi M, Naghnaeian M, Shokouh P, Ahmadi A, Sarrafzadegan N. Relationship between metabolic syndrome and its components with psychological distress. Int J Endocrinol. 2014;2014:203463.

    PubMed  PubMed Central  Google Scholar 

  14. Chang JC, Yen AM, Lee CS, Chen SL, Chiu SY, Fann JC, Chen HH. Metabolic syndrome and the risk of suicide: a community-based integrated screening samples cohort study. Psychosom Med. 2013;75(9):807–14.

    CAS  PubMed  Google Scholar 

  15. Shakeri J, Farnia V, Valinia K, Hashemian AH, Bajoghli H, Holsboer-Trachsler E, Brand S. The relationship between lifetime suicide attempts, serum lipid levels, and metabolic syndrome in patients with bipolar disorders. Int J Psychiatry Clin Pract. 2014;19(2):124–31.

    PubMed  Google Scholar 

  16. Bartoli F, Crocamo C, Dakanalis A, Riboldi I, Miotto A, Brosio E, Clerici M, Carra G. Association between total serum cholesterol and suicide attempts in subjects with major depressive disorder: exploring the role of clinical and biochemical confounding factors. Clin Biochem. 2017;50(6):274–8.

    CAS  PubMed  Google Scholar 

  17. Oh J, Kim TS. Serum lipid levels in depression and suicidality: the Korea National Health and nutrition examination survey (KNHANES) 2014. J Affect Disord. 2017;213:51–8.

    CAS  PubMed  Google Scholar 

  18. Segoviano-Mendoza M, Cardenas-de la Cruz M, Salas-Pacheco J, Vazquez-Alaniz F, La Llave-Leon O, Castellanos-Juarez F, Mendez-Hernandez J, Barraza-Salas M, Miranda-Morales E, Arias-Carrion O, et al. Hypocholesterolemia is an independent risk factor for depression disorder and suicide attempt in northern Mexican population. BMC Psychiatry. 2018;18(1):7.

    PubMed  PubMed Central  Google Scholar 

  19. Forsman J, Keltanen T, Liberg B, Sajantila A, Masterman T, Lindroos K. Glucose metabolism in completed suicide: a forensic-pathological pilot study. Croat Med J. 2017;58(1):34–9.

    CAS  PubMed  PubMed Central  Google Scholar 

  20. Myers AK, Grannemann BD, Lingvay I, Trivedi MH. Brief report: depression and history of suicide attempts in adults with new-onset type 2 diabetes. Psychoneuroendocrinology. 2013;38(11):2810–4.

    PubMed  Google Scholar 

  21. Batty GD, David Batty G, Kivimaki M, Park IS, Jee SH. Diabetes and raised blood glucose as risk factors for future suicide: cohort study of 1 234 927 Korean men and women. J Epidemiol Community Health. 2012;66(7):650–2.

    PubMed  Google Scholar 

  22. Chang BP, Franklin JC, Ribeiro JD, Fox KR, Bentley KH, Kleiman EM, Nock MK. Biological risk factors for suicidal behaviors: a meta-analysis. Transl Psychiatry. 2016;6(9):e887.

    CAS  PubMed  PubMed Central  Google Scholar 

  23. Baek JH, Kang ES, Fava M, Mischoulon D, Nierenberg AA, Yu BH, Lee D, Jeon HJ. Serum lipids, recent suicide attempt and recent suicide status in patients with major depressive disorder. Prog Neuro-Psychopharmacol Biol Psychiatry. 2014;51:113–8.

    CAS  Google Scholar 

  24. Koponen H, Kautiainen H, Leppänen E, Mäntyselkä P, Vanhala M. Association between suicidal behaviour and impaired glucose metabolism in depressive disorders. BMC Psychiatry. 2015;15:163.

    PubMed  PubMed Central  Google Scholar 

  25. Leucht S, Fennema H, Engel R, Kaspers-Janssen M, Lepping P, Szegedi A. What does the HAMD mean? J Affect Disord. 2013;148(2–3):243–8.

    PubMed  Google Scholar 

  26. Lin CH, Wang FC, Lin SC, Chen CC, Huang CJ. A comparison of inpatients with anxious depression to those with nonanxious depression. Psychiatry Res. 2014;220(3):855–60.

    PubMed  Google Scholar 

  27. Thompson E. Hamilton rating scale for anxiety (HAM-A). Occup Med (Lond). 2015;65(7):601.

    Google Scholar 

  28. Bornheimer LA. Moderating effects of positive symptoms of psychosis in suicidal ideation among adults diagnosed with schizophrenia. Schizophr Res. 2016;176(2–3):364–70.

    PubMed  PubMed Central  Google Scholar 

  29. Bornheimer LA, Jaccard J. Symptoms of depression, positive symptoms of psychosis, and suicidal ideation among adults diagnosed with schizophrenia within the clinical antipsychotic trials of intervention effectiveness. Arch Suicide Res. 2017;21(4):633–45.

    PubMed  Google Scholar 

  30. Kay SR, Fiszbein A, Opler LA. The positive and negative syndrome scale (PANSS) for schizophrenia. Schizophr Bull. 1987;13(2):261–76.

    CAS  Google Scholar 

  31. Ko JK, Han KM, Shin C, Lee SH, Han C, Kim YK, Yoon HK, Ko YH. Association of metabolic syndrome and its components with suicidal ideation and depression in adults: a nationally representative sample of the Korean population. J Affect Disord. 2019;249:319–26.

    PubMed  Google Scholar 

  32. Gailliot MT, Baumeister RF. The physiology of willpower: linking blood glucose to self-control. Personal Soc Psychol Rev. 2007;11(4):303–27.

    Google Scholar 

  33. Capron DW, Norr AM, Macatee RJ, Schmidt NB. Distress tolerance and anxiety sensitivity cognitive concerns: testing the incremental contributions of affect dysregulation constructs on suicidal ideation and suicide attempt. Behav Ther. 2013;44(3):349–58.

    PubMed  Google Scholar 

  34. Yang W, Zhang G, Jia Q, Qian ZK, Yin G, Zhu X, Alnatour OI, Trinh TH, Wu HE, Lang X, et al. Prevalence and clinical profiles of comorbid anxiety in first episode and drug naive patients with major depressive disorder. J Affect Disord. 2019;257:200–6.

    PubMed  Google Scholar 

  35. Ceretta LB, Réus GZ, Abelaira HM, Jornada LK, Schwalm MT, Hoepers NJ, Tomazzi CD, Gulbis KG, Ceretta RA, Quevedo J. Increased prevalence of mood disorders and suicidal ideation in type 2 diabetic patients. Acta Diabetol. 2012;49(Suppl 1):S227–34.

    PubMed  Google Scholar 

  36. Papadopoulou A, Markianos M, Christodoulou C, Lykouras L. Plasma total cholesterol in psychiatric patients after a suicide attempt and in follow-up. J Affect Disord. 2013;148(2–3):440–3.

    CAS  PubMed  Google Scholar 

  37. Brunner J, Bronisch T, Pfister H, Jacobi F, Höfler M, Wittchen H-U. High cholesterol, triglycerides, and body-mass index in suicide attempters. Arch Suicide Res. 2006;10(1):1–9.

    PubMed  Google Scholar 

  38. Kim S-M, Lee C-S, Park C-S, Kim B-J, Cha B, Lee S-J, Seo J-Y, Kim J. Metabolic syndrome and suicidal ideation in korean based on the 2010 korean national health and nutrition examination survey. Psychiatry Investig. 2014;11(3):325–9.

    PubMed  PubMed Central  Google Scholar 

  39. Buydens-Branchey L, Branchey M, Hudson J, Fergeson P. Low HDL cholesterol, aggression and altered central serotonergic activity. Psychiatry Res. 2000;93(2):93–102.

  40. Zhang J, McKeown RE, Hussey JR, Thompson SJ, Woods JR, Ainsworth BE. Low HDL cholesterol is associated with suicide attempt among young healthy women: the third National Health and nutrition examination survey. J Affect Disord. 2005;89(1–3):25–33.

    CAS  PubMed  Google Scholar 

  41. Maes M, Smith R, Christophe A, Vandoolaeghe E, Van Gastel A, Neels H, Demedts P, Wauters A, Meltzer HY. Lower serum high-density lipoprotein cholesterol (HDL-C) in major depression and in depressed men with serious suicidal attempts: relationship with immune-inflammatory markers. Acta Psychiatr Scand. 1997;95(3):212–21.

    CAS  PubMed  Google Scholar 

  42. Bi B, Liu W, Zhou D, Fu X, Qin X, Wu J. Personality traits and suicide attempts with and without psychiatric disorders: analysis of impulsivity and neuroticism. BMC Psychiatry. 2017;17(1):294.

    PubMed  PubMed Central  Google Scholar 

  43. Peters EM, Balbuena L, Marwaha S, Baetz M, Bowen R. Mood instability and impulsivity as trait predictors of suicidal thoughts. Psychol Psychother. 2016;89(4):435–44.

    PubMed  Google Scholar 

  44. Pozzi F, Troisi A, Cerilli M, Autore AM, Lo Castro C, Ribatti D, Frajese G. Serum cholesterol and impulsivity in a large sample of healthy young men. Psychiatry Res. 2003;120(3):239–45.

    CAS  PubMed  Google Scholar 

  45. Shelef L, Brunstein Klomek A, Yavnai N, Shahar G. Perceived stress and intent to die in Young soldiers who attempt suicide. Crisis. 2018;39(2):144–8.

    PubMed  Google Scholar 

  46. Gowey MA, Khodneva Y, Tison SE, Carson AP, Cherrington AL, Howard VJ, Safford MM, Dutton GR. Depressive symptoms, perceived stress, and metabolic health: the REGARDS study. Int J Obes. 2019;43(3):615–32.

    CAS  Google Scholar 

Download references

Acknowledgements

We are grateful to all the medical staffs and patients in our study and to those who contributed to the diagnosis and clinical evaluation of the subjects.

Funding

This work was supported by the basic scientific research project of Wenzhou (Y20180115), the Natural Science Foundation of Zhejiang Province (No. LQ18H090009) as well as medical and health research project of Zhejiang province (2020KY926). The funding body played no role in the study design, the collection, analysis and interpretation of the data.

Author information

Authors and Affiliations

Authors

Contributions

ZK, ZSY, ZXY, TW and WW participated in the research design. SX, CJU, ZYY, FKL and ZXY collected and analyzed the data. ZXY, WW and TW helped conduct the analysis with constructive discussions. ZK, ZSY, SX, CJU, ZYY, FKL, ZXY, WW and TW contributed to the writing of the manuscript. All authors had read and approved the final manuscript.

Corresponding author

Correspondence to Wei Tang.

Ethics declarations

Ethics approval and consent to participate

This study was conducted at the psychiatric clinic department in a general hospital in Taiyuan, Shanxi province, China. And the study was authorized by the Institutional Review Board (IRB) of the First Clinical Medical College, Shanxi Medical University. All patients had signed the informed consent and were informed of having rights to make up their mind or refuse to participate or quit anytime. All procedures carried out in studies conformed to the 1964 Helsinki Declaration and its subsequent amendments or similar ethical standards.

Consent for publication

Not applicable.

Competing interests

None.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Zhao, K., Zhou, S., Shi, X. et al. Potential metabolic monitoring indicators of suicide attempts in first episode and drug naive young patients with major depressive disorder: a cross-sectional study. BMC Psychiatry 20, 387 (2020). https://0-doi-org.brum.beds.ac.uk/10.1186/s12888-020-02791-x

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://0-doi-org.brum.beds.ac.uk/10.1186/s12888-020-02791-x

Keywords