Background
Schizophrenia is a disease associated with high disability and high mortality [
1‐
3]. Existing studies have shown that the life expectancy in patients with schizophrenia is 10 to 20 years shorter than that in people without schizophrenia [
4]. One of the leading causes of premature death in patients with schizophrenia is cardiovascular disease [
5‐
7]. Among the risk factors for cardiovascular disease, obesity is prominent and very common [
8,
9].
Researchers have recently divided obesity into two phenotypes: metabolically abnormal obese (MAO) and metabolically healthy but obese (MHO) [
10‐
13]. In recent years, studies have found that MAO people have the highest risk of cardiovascular disease and the worst cardiovascular prognosis, followed by MHO people; metabolically healthy normal-weight (MHWN) individuals have the lowest risk and the best cardiovascular prognosis [
14‐
16].
Patients with schizophrenia have a high incidence of metabolic side effects and obesity due to the use of second-generation antipsychotics, such as clozapine, olanzapine, and quetiapine [
17‐
19]. Additionally, because of the specific lifestyle characteristics of people with schizophrenia, such as poor diet [
20], sedentary lifestyle [
21] and lack of exercise [
22], the incidence of obesity is increased in this population. Therefore, it is necessary to closely attend to the specific group--schizophrenia patients with MAO phenotype.
However, there is no report on the prevalence of the MAO phenotype in people with schizophrenia. Additionally, it is not clear whether the prevalence of the MAO phenotype is higher in schizophrenia patients than in the general population. In addition, while studies have identified poor cardiovascular outcomes in MAO individuals, the current mental state of MAO individuals with schizophrenia has not been reported; is it also poor? This is also the purpose of our research. Therefore, our study mainly explored the prevalence of MAO in patients with schizophrenia and compared it with that of the control group. Furthermore, it was deemed important to explore the current mental symptoms of MAO individuals with schizophrenia.
Results
Comparison between the patients with schizophrenia and the controls
A total of 329 patients with chronic schizophrenia and 175 sex- and age-matched people without schizophrenia were recruited for this study. The frequencies of MAO and MHNW phenotypes in patients with schizophrenia were 15.8 and 9.4%, respectively, and the corresponding values for the control subjects were 9.1 and 14.9%, respectively. The MAO phenotype of patients with schizophrenia was significantly higher than that of the control group (p = 0.037). In addition, among the obese subjects, the proportions of the MAO phenotype were 96.3 and 84.2% in the patients and the control groups, respectively.
The demographic characteristics and clinical data of patients and controls were shown in Table
1. The marriage prevalence, food intake, education level and HDL-C level were lower in the patients than in the control group. The BMI, triglyceride level, LDL-C level, and plasma C-peptide level were higher in the schizophrenia group than in the control group.
Table 1
The characteristics and clinical data of patients with schizophrenia and the control participants
Female | 134 | 40.7 | 81 | 46.3 | 1.44 | 0.230 |
Married | 95 | 30.1 | 139 | 82.7 | 126.05 | < 0.001 |
Current smokers | 97 | 29.7 | 44 | 25.1 | 3.90 | 0.272 |
Insulin resistance | 103 | 31.9 | 43 | 24.7 | 2.81 | 0.094 |
MAO phenotype | 52 | 15.8 | 16 | 9.1 | 4.35 | 0.037 |
MHNW phenotype | 31 | 9.4 | 26 | 14.9 | 3.36 | 0.067 |
Food intake |
I | 98 | 30.3 | 24 | 14.6 | 14.29 | < 0.001 |
II | 225 | 69.7 | 140 | 85.4 | | |
| Mean | SD | Mean | SD | Z/t | P |
Age (years) | 45.23 | 11.72 | 46.08 | 13.33 | −0.82 | 0.410 |
Education (years) | 8.11 | 3.63 | 9.46 | 3.79 | −3.69 | < 0.001 |
BMI (kg/m2) | 24.12 | 3.84 | 23.45 | 3.16 | 1.96 | 0.049 |
Glucose (mmol/l) | 5.36 | 1.36 | 5.33 | 1.08 | −0.37 | 0.711 |
Cholesterol (mmol/l) | 4.76 | 1.41 | 4.58 | 0.89 | −0.89 | 0.373 |
Triglycerides (mmol/l) | 2.24 | 1.51 | 1.63 | 1.06 | −6.08 | < 0.001 |
HDL _C (mmol/l) | 1.05 | 0.27 | 1.16 | 0.27 | −4.75 | < 0.001 |
LDL_C (mmol/l) | 2.40 | 0.63 | 2.23 | 0.53 | 2.97 | 0.003 |
C-peptide (ng/ml) | 2.75 | 1.14 | 2.54 | 1.32 | −2.79 | 0.005 |
Insulin (mU/L) | 9.48 | 8.08 | 8.69 | 8.29 | −1.81 | 0.070 |
HOMA-IR | 2.37 | 2.97 | 2.20 | 3.00 | −1.57 | 0.116 |
Comparison between the MAO and MHNW groups of patients with schizophrenia
As shown in Table
2, we classified 52 patients into the MAO group and 31 patients into the MHNW group. The MAO group had more females, higher education levels and lower chlorpromazine equivalents than the MHNW group. The MAO group had worse metabolic status than the MHNW group, as indicated by higher C-peptide levels, insulin levels, glucagon levels, HOMA-IR index values, and insulin resistance rates. Regarding psychiatric symptoms, the patients in the MAO group had lower negative factor, cognitive factor and PANSS total scores than those in the MHNW group.
Table 2
Comparison between the MAO group and the MHNW group for patients with schizophrenia
Female | 34 | 41.0 | 28 | 53.8 | 6 | 19.4 | 9.55 | 0.002 |
Married | 21 | 25.3 | 15 | 28.8 | 6 | 19.4 | 2.36 | 0.500 |
Current smokers | 24 | 28.9 | 13 | 25.0 | 11 | 35.5 | 2.06 | 0.356 |
Insulin resistance | 32 | 40.0 | 29 | 56.9 | 3 | 10.3 | 16.67 | < 0.001 |
Food intake |
I | 24 | 29.6 | 13 | 26.0 | 11 | 35.5 | 0.825 | 0.364 |
II | 57 | 70.4 | 37 | 74.0 | 20 | 64.5 | | |
Antipsychotics |
Clozapine | 36 | 43.4 | 24 | 46.2 | 12 | 38.7 | 0.438 | 0.508 |
Olanzapine | 16 | 19.3 | 10 | 19.2 | 6 | 19.4 | 0.01 | 0.989 |
Risperidone | 28 | 33.7 | 16 | 30.8 | 12 | 38.7 | 0.55 | 0.459 |
Aripiprazole | 15 | 18.1 | 8 | 15.4 | 7 | 22.6 | 0.68 | 0.410 |
| Mean | SD | Mean | SD | Mean | SD | Z/t | P |
Age (years) | 43.36 | 12.44 | 43.40 | 12.40 | 43.29 | 12.73 | 0.04 | 0.968 |
Education (years) | 7.63 | 4.01 | 8.42 | 4.04 | 6.29 | 3.65 | −2.80 | 0.005 |
Age of onset (years) | 26.33 | 8.12 | 26.79 | 9.73 | 25.55 | 8.31 | 0.671 | 0.504 |
Duration of illness (years) | 16.94 | 10.18 | 16.42 | 9.73 | 17.81 | 10.99 | −0.39 | 0.695 |
hospitalization days | 109.47 | 103.18 | 120.62 | 125.02 | 92.73 | 54.50 | −0.731 | 0.465 |
Chlorpromazine equivalents (mg/day) | 457.38 | 277.47 | 404.47 | 241.49 | 546.13 | 313.54 | −2.31 | 0.024 |
BMI (kg/m2) | 26.86 | 4.72 | 30.21 | 1.74 | 21.23 | 1.82 | 22.35 | < 0.001 |
Glucose (mmol/l) | 5.33 | 1.35 | 5.57 | 1.63 | 4.93 | 0.44 | −1.78 | 0.075 |
Cholesterol (mmol/l) | 4.81 | 1.17 | 5.11 | 1.24 | 4.32 | 0.86 | 3.12 | 0.003 |
Triglycerides (mmol/l) | 2.37 | 1.77 | 3.13 | 1.87 | 1.13 | 0.35 | −7.18 | < 0.001 |
HDL _C (mmol/l) | 1.07 | 0.25 | 0.95 | 0.19 | 1.28 | 0.19 | −7.59 | < 0.001 |
LDL_C (mmol/l) | 2.45 | 0.58 | 2.56 | 0.55 | 2.28 | 0.60 | 2.13 | 0.036 |
Glucagon (pg/ml) | 28.29 | 20.26 | 34.75 | 20.86 | 17.46 | 13.73 | 4.11 | < 0.001 |
C-peptide (ng/ml) | 3.09 | 1.37 | 3.66 | 1.36 | 2.08 | 0.60 | 5.95 | < 0.001 |
Insulin (mU/L) | 12.16 | 12.55 | 15.74 | 14.33 | 5.74 | 3.07 | −5.68 | < 0.001 |
HOMA-IR | 3.24 | 5.20 | 4.36 | 6.24 | 1.26 | 0.70 | −5.73 | < 0.001 |
PANSS |
Positive factor | 9.95 | 4.58 | 9.96 | 4.54 | 9.94 | 4.71 | 0.025 | 0.980 |
Negative factor | 18.39 | 7.42 | 15.94 | 6.89 | 22.48 | 6.49 | −4.28 | < 0.001 |
Cognitive factor | 8.98 | 2.96 | 8.44 | 3.22 | 9.87 | 2.25 | −2.17 | 0.033 |
Depressive factor | 6.88 | 2.87 | 7.00 | 3.02 | 6.68 | 2.65 | 0.49 | 0.624 |
Excited factor | 7.71 | 3.59 | 7.67 | 3.78 | 7.77 | 3.30 | −0.13 | 0.899 |
PANSS total | 78.65 | 23.84 | 74.50 | 25.46 | 85.61 | 19.30 | −2.10 | 0.039 |
To eliminate possible confounding factors and compare psychiatric symptoms, we performed binary logistic regression analyses with the “Enter” method. The covariables included sex, age, education level, age of onset, duration of disease, hospitalization days, food intake, marital status, smoking status, types of antipsychotic medicines, chlorpromazine equivalents, and the PANSS factor scores. The significant difference in negative factor between the two groups persisted (p = 0.003, OR = 1.29, 95% CI = 1.09–1.52), but the difference in cognitive factor (p = 0.112, OR = 1.24, 95% CI = 0.95–1.62) and PANSS total scores (p = 0.066, OR = 1.03, 95% CI = 0.99–1.06) disappeared.
Correlation between MS components and diabetes related variables in patients with schizophrenia
As shown in Table
3, the Spearman correlation showed that diabetes related variables were associated with almost all metabolic indicators. Insulin, C-peptide and HOAM-IR were positively correlated with BMI, glucose, cholesterol, triglyceride, LDL-C, SBP and DBP, and negatively correlated with HDL-C. Blood glucose was positively correlated with BMI, cholesterol, triglyceride and LDL-C. Glucagon was positively correlated with BMI, triglyceride and DBP, and negatively correlated with HDL-C.
Table 3
The correlation between the MS components and diabetes related indicators in patients with schizophrenia (N = 329)
BMI | 0.121* | 0.477*** | 0.482*** | 0.295*** | 0.475*** |
Glucose | – | 0.159** | 0.131* | 0.047 | 0.412*** |
Cholesterol | 0.120* | 0.183*** | 0.150** | 0.073 | 0.206*** |
Triglycerides | 0.169** | 0.395*** | 0.360*** | 0.248*** | 0.403*** |
HDL _C | −0.095 | −0.162** | −0.221*** | − 0.190*** | −0.174** |
LDL_C | 0.160** | 0.171** | 0.136* | 0.081 | 0.208*** |
SBP | 0.024 | 0.143** | 0.163** | 0.101 | 0.151** |
DBP | −0.011 | 0.176*** | 0.225*** | 0.172** | 0.179*** |
Discussion
In this study, we found that the prevalence of the MAO phenotype in patients with chronic schizophrenia and individuals without schizophrenia were 15.8 and 9.1% respectively. To the best of our knowledge, this is the first report of the prevalence of the MAO phenotype in people with schizophrenia. Most previous studies have reported in the general population. In a study in Ireland, based on three different definitions of metabolic abnormalities (NCPE/ATP III MS criteria, HOMA-IR criteria, and Wildman criteria), the rate of the MAO phenotype in the general population was 19.8–23.8% (BMI ≥ 30 kg/m
2) [
34]. A survey in Fujian Province in China reported that the prevalence of MAO in the general population was 34.6% (BMI ≥ 24 kg/m
2, metabolic abnormalities ≥1 NCPE/ATP III MS criterion or HOMA-IR > 2.69) [
35]. The differences in these studies are mainly due to different diagnostic criteria, race, population etc.
The prevalence of the MAO phenotype in patients with schizophrenia was higher than in the general population, which was also the first report of this finding. The use of second generation antipsychotics resulted in adverse reaction, mainly including metabolic abnormalities and obesity. Antipsychotics can act on adipose tissue, destroy adipose tissue cells, and create intracellular imbalance, resulting in metabolic disorders in the body and causing IR [
17]. Existing studies have also found that antipsychotic drug receptors such as H1 [
36], 5-HT 2A, 5-HT 2C, D2 [
37], D3, and M3 [
38] are associated with energy metabolism, feeding and weight and contribute to weight gain and obesity [
39]. In addition, less exercise [
22] and poor diet [
20] in patients with schizophrenia can also lead to weight gain.
We found that most diabetes-related variables (for example HOMA-IR) were positively correlated with MS components except HDL_C, and negatively correlated with HDL_C. This suggested that worse metabolic levels were closely related to higher risk of diabetes. The result was similar to some previous studies [
40]. Some internal connections about them had been reported. The main pathological mechanism of type 2 diabetes was the decrease of insulin receptor sensitivity, that is, IR, resulting in relative lack of insulin [
41]. Chronic, low-level inflammation of adipose tissue macrophages in obesity was an important contributor to IR [
42]. During IR, the circulatory function of free fatty acids was impaired, resulting in an increase in triglyceride and LDL_C, a decrease in HDL_C, and lipid accumulation in liver and muscle tissue [
43]. And insulin has a direct vasodilating effect, and the average vasodilatory response was in the range 15–30% under the physiological dose, but this effect was weakened in patients with IR or diabetes [
44,
45]. In summary, the metabolic level was closely related to insulin function, and the worse the metabolic level, the higher the risk of diabetes.
In this study, we found a phenomenon contrary to conventional wisdom. Schizophrenia patients with the MAO phenotype had milder negative symptoms compared to patients with the MHNW phenotype and the difference remained after controlling for confounding variables. Mezquida et al. reported a negative correlation between BMI and negative symptoms [
46], which was somewhat similar to the findings of this study. Virawudh et al. reported that IR was strongly positively associated with negative symptoms after controlling for BMI [
47]. IR is the central link of MS and is essentially a “synonym” of abnormal metabolism. In our study, when metabolic abnormalities and obesity were combined, the negative symptoms were alleviated.
Schizophrenia patients with the MAO phenotype had mild negative symptoms, and this indicated that the worse the metabolism, the milder the negative symptoms. The underlying pathophysiologic mechanisms were not clear. Regarding this, we propose three possible hypotheses. First, we guessed it may be related to the use of antipsychotics. Antipsychotics can relieve negative symptoms, and also can lead to metabolic side effects [
48]. In our MAO sample, the metabolic status of patients was worse, but the negative symptoms were milder. We believe that these patients with worse metabolism may respond better to antipsychotics, and have better therapeutic effects, resulting in milder negative symptoms. In addition, the types of antipsychotics also have a great impact on negative symptoms and metabolism. For example, olanzapine is more likely to lead to metabolic side effects than aripiprazole, and is more effective in treating negative symptoms [
48]. So, prescriptions for antipsychotics may have a potential impact on the results. Psychiatrists may prefer antipsychotics that are effective against psychiatric symptoms, even if they have metabolic side effects [
49]. Second, S.F. Chen et al. reported that after controlling for drug use, negative symptoms were negatively correlated with triglyceride levels and positively correlated with HDL-C levels [
50]. The authors suggested that negative symptoms may be related to a peculiar lipid pathological mechanism [
50]. Third, we think that the reward system may be involved. In patients with schizophrenia, the reward system is damaged due to the dysfunction in dopamine transmission [
51]. Patients with more serious negative symptoms had lower reward responses and reward adaptation, which led to a decrease in the ability and accuracy to obtain rewards [
52]. Obesity has been associated with the food reward [
53]. Some studies have found that a stronger reward response was associated with a higher BMI [
54]. Therefore, there might be a reward mechanism. In MAO patients with lower negative symptoms, their reward responsiveness may be less impaired, with relatively more eating rewards remaining, which led to obesity.
There may be some unknown physiological mechanisms in regard to the presence of mild negative symptoms in MAO patients. It is necessary to continue exploring the internal relationships between metabolic status and negative symptoms in patients with schizophrenia. It is expected that new methods that can alleviate negative symptoms without worsening metabolism will be found.
There were few shortcomings in this research. First, this was a cross-sectional study, which prevents conclusions of causality. Further cohort studies are needed to determine the internal relationships between abnormal metabolic obesity and negative symptoms. Second, the sample size was relatively small, and our results need to be replicated and expanded in a larger population. However, to avoid sample selection bias, our study was conducted at three different locations. Third, our schizophrenia sample included only inpatients, control group was a non-hospitalized population, and the different lifestyles of the two groups may have biased the results of study. Fourth, all the patients were chronic schizophrenia patients, with a long duration of illness. The drug previously taken by patients extended too far into the past to be verified. The antipsychotic drugs and doses noted in this study refer only to currently administered drugs.
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