Sleep Disturbances in Generalized Anxiety Disorder: The Role of Calcium Homeostasis Imbalance.
Plan d'étude
- Type d'étude
- cross_sectional
- Taille de l'échantillon
- 211
- Population
- 211 patients with generalized anxiety disorder (GAD)
- Intervention
- Sleep Disturbances in Generalized Anxiety Disorder: The Role of Calcium Homeostasis Imbalance. None
- Comparateur
- not_applicable
- Critère de jugement principal
- association between calcium homeostasis imbalance (calcium, vitamin D, PTH) and sleep quality/anxiety in GAD patients
- Direction de l'effet
- Neutral
- Risque de biais
- Moderate
Résumé
Patients with a generalized anxiety disorder (GAD) often report preeminent sleep disturbances. Recently, calcium homeostasis gained interest because of its role in the regulation of sleep-wake rhythms and anxiety symptoms. This cross-sectional study aimed at investigating the association between calcium homeostasis imbalance, anxiety, and quality of sleep in patients with GAD. A total of 211 patients were assessed using the Hamilton Rating Scale for Anxiety (HAM-A), Pittsburgh Sleep Quality Index questionnaire (PSQI) and Insomnia Severity Index (ISI) scales. Calcium, vitamin D, and parathyroid hormone (PTH) levels were evaluated in blood samples. A correlation and linear regression analysis were run to evaluate the association of HAM-A, PSQI, and ISI scores with peripheral markers of calcium homeostasis imbalance. Significant correlations emerged between HAM-A, PSQI, ISI, PTH, and vitamin D. The regression models showed that patients with GAD displaying low levels of vitamin D and higher levels of PTH exhibit a poor subjective quality of sleep and higher levels of anxiety, underpinning higher psychopathological burden. A strong relationship between peripheral biomarkers of calcium homeostasis imbalance, insomnia, poor sleep quality, and anxiety symptomatology was underlined. Future studies could shed light on the causal and temporal relationship between calcium metabolism imbalance, anxiety, and sleep.
En bref
A strong relationship between peripheral biomarkers of calcium homeostasis imbalance, insomnia, poor sleep quality, and anxiety symptomatology was underlined and future studies could shed light on the causal and temporal relationship between calcium metabolism imbalance, anxiety, and sleep.
Texte intégral
1. Introduction
Sleep is a basic human need and is essential for good health, well-being, and good quality of life. We spend nearly a third of our life sleeping. However, people often experience difficulties in sleeping that may become disabling and result in daytime dysfunction [
About 60–70% of patients with GAD and panic disorder reported prominent sleep disturbances [
Sleep–wake regulation is classically described as resulting from the interaction of circadian and homeostatic processes [
In recent years, calcium homeostasis has received increasing interest, with research supporting the role of parathyroid hormone (PTH), vitamin D (Vit D), and calcium (Ca++) in mental health conditions [
This could be explained considering different activities of Vit D, Ca++, and PTH. Vit D receptors are widely expressed in all human bodies and brain [
Vit D has gained prominence due to its antioxidant, anti-inflammatory, pro-neurogenic, and neuromodulator properties that appear to be fundamental to its anxiolytic properties [
Although several studies investigated the co-occurrence of sleep disturbances and anxiety disorders [
Based on the above, the current study aimed at investigating the association between calcium imbalance through the determination of Ca++, Vit D, and PTH levels, anxiety psychopathology severity, and altered hypnic pattern in a sample of patients suffering from a generalized anxiety disorder. Thus, the current study tries to explore whether calcium metabolism imbalance could be associated with sleep quality and worsening of symptoms in patients with anxiety disorders. Therefore, the aims of the present study are (1) to identify the association between calcium imbalance and quality of sleep in patients suffering from generalized anxiety disorder (GAD) and (2) to evaluate how this association may impact illness severity in patients suffering from GAD.
2. Materials and Methods
Consecutive outpatients were screened for eligibility at the Psychiatric Unit of the University Hospital Mater Domini in Catanzaro from May 2020 to July 2022. Inclusion criteria were age between 18 and 75 years; primary diagnosis of GAD according to the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-5) [
Patients presenting comorbid depressive features were not excluded, considering the high prevalence of anxiety and depressive symptoms co-occurrence in clinical practice. However, we excluded patients with a severe or subthreshold depressive condition clinically evaluated at the moment of the enrollment.
All participants meeting the inclusion/exclusion criteria were recruited and included in the study after receiving a full description of the study aims and design and obtaining their written informed consent to participate in the study. The Structured Interview for DSM-5 Disorders, Clinician Version (SCID-5-CV) [
The study was carried out following the latest version of the Declaration of Helsinki and the protocol approval was obtained by the Ethics Committee of the University of Catanzaro (307/2020).
2.1. Procedures and Measures
Patients’ socio-demographic and clinical characteristics were collected using an ad hoc schedule evaluating sex, age, civil status, education, employment status, family history of psychiatric illnesses, and age at onset of the disorder.
2.1.1. Psychological Measures
Participant answered the following scales: Hamilton Rating Scale for Anxiety (HAM-A) [ Pittsburgh Sleep Quality Index Questionnaire (PSQI), to analyze sleep quality. The self-reported questionnaire is made up of 19 items, used to create seven components with a score ranging between 0 (no problem) and 3 (major problem), namely, subjective sleep quality (hereafter referred to as Quality), sleep latency (Latency), sleep duration (Duration), habitual sleep efficiency (Efficiency), sleep disturbances (Disturbances), use of sleeping medication (Medication), and daytime dysfunction (Dysfunction). The total score from these seven components varies between 0 (no problem) and 21 (major problem). A global score of ≥5 is used to identify people with poor sleep quality [ Insomnia Severity Index (ISI), to assess the nature, severity, and impact of sleep difficulties in the last 2 weeks. A 5-point Likert scale is used to rate the 7 items, with scores ranging 0–28 that yield four categories: absence of insomnia (0–7); subthreshold insomnia (8–14); moderate insomnia (15–21); and severe insomnia (22–28) [
2.1.2. Biological Measures
Serum levels of calcium (mmol/L), 25-OH-vitamin D (ng/mL), and PTH (pg/mL) were assessed in the same laboratory to ensure standardized procedures. Blood samples were collected from all patients at recruitment after 12–14 h fasting.
Calcium was measured using standard laboratory methods. Blood was centrifuged, and serum was stocked at −30 °C for α,25 (OH)2 vitamin D and PTH and evaluated by chemiluminescence immunoassays using adequate kits (Diasorin Liaison; ADVIA Centaur). According to the Endocrine Society’s Clinical Practice Guideline, Vit D deficiency was considered when its values were <20 ng/mL; insufficiency between 21–29 ng/mL; and sufficiency between 30–100 ng/mL [
Levels of Vit D < 20 ng/mL, Ca++ < 8.8 mg/dL or >10 mg/dL, and PTH < 15 pg/mL or >55 pg/mL were the cut-off considered for calcium homeostasis imbalance (
2.2. Statistical Analysis
Descriptive statistics were calculated for socio-demographic and clinical characteristics, as well as for scores at relevant assessment instruments. The quantitative variables were expressed as mean and standard deviation (SD) and the qualitative variables as frequency and percentage (%).
A Spearman correlation analysis was used to assess the relationship between sleep quality, anxiety symptoms, and calcium homeostasis imbalance. Linear regression analysis was performed to further investigate the relationship between sleep quality, anxiety, and calcium homeostasis imbalance using PSQI, ISI, and HAM-A scores as dependents variables and PTH, calcium, and Vit D as independent variables. All tolerance values in the regression analyses were >0.1 and all variance inflation factors were <10, expressing that the assumption of multicollinearity was not violated. The
3. Results
Overall, 211 participants suffering from GAD met the inclusion/exclusion criteria and were enrolled in the study. The average age (±standard deviation, SD) was 46.9 (±13.8). Most of the participants were female (51%), married (45.5%), graduated (76%), employed (63%), and with positive family history for psychiatric disorders (64.5%). The mean age at onset was 27.8 ± 11.1. The mean of HAM-A total, PSQI total, ISI total was 25.6 ± 13.7, 10.96 ± 6.2 and 14.36 ± 8.2, respectively. Indices of calcium metabolism showed a normal calcium level 9.5 ± 0.4, higher PTH level (54.6 ± 20.5), and lower Vit D level (29.4 ± 25.1) (
A linear regression analysis was performed to assess the association between calcium imbalance, anxiety symptoms, and quality of sleep. In the three models, PSQI total, HAM-A total, and ISI total, respectively, were selected as dependent variables and PTH, Vit D, and Ca++ as independent variables. In the first model, higher PTH levels and lower Vit D levels (R2 = 0.603; F = 80.752;
4. Discussion
This study found a strong relationship between calcium homeostasis imbalance, poor sleep quality, and anxiety symptomatology in patients suffering from GAD. To the best of our knowledge, this is the first study aimed at investigating the association between calcium homeostasis imbalance and quality of sleep in patients with GAD. The study findings suggest that patients with GAD and low levels of Vit D and higher levels of PTH exhibit insomnia, poor quality of sleep, and higher levels of anxiety, highlighting its impact on the psychopathological burden.
A growing body of literature focused on the calcium imbalance in psychiatric disorders [
Interestingly, Vit D is involved in regulating the conversion of tryptophan into 5-HTP and producing melatonin [
Most studies evaluating anxiety-related symptoms in different populations indicate an association between low levels of Vit D and anxiety [
On the other hand, many of the positive effects of Vit D on behaviors might be associated with its ability to regulate both peripheral and CNS immune responses. As noted, anxiety is frequently associated with a low-grade inflammatory status and peripheral increase of inflammatory cytokines [
The results of the present study should be read considering some limitations. First, the cross-sectional study design, the type of patients included (only outpatients), and the relatively small sample size does not allow to generalize to a large proportion of the psychiatric population and preclude establishing causal relationships. In this light, prospective studies are recommended. Second, the self-administered scale and the retrospective nature of the study were affected by the effect of recall bias and represent a structural limitation regarding the assembly and reliability of the data. Third, psychiatric medications are known to trigger symptoms of sleep disorders. Due to heterogeneity in our sample, patients were prescribed different psychotropic medications which would be difficult to control. Hence, it was not possible to examine the association between psychotropic medication and symptoms of sleep disorders. Lastly, the wide overlap of features and neurophysiological systems involved in anxiety and depressive symptoms, even if occurring only in a few patients of our sample, prevented us to examine the unique relationship between calcium imbalance and anxiety disorder. Further studies should assess the role that calcium imbalance plays in this relationship, distinguishing mood disorders from anxiety disorders and using major depressive disorder as a control group.
Despite these limitations, the major strengths of this study are represented by the focus on calcium imbalance and sleep quality in patients with GAD in a real-world setting with broad inclusion criteria. Furthermore, this was the first attempt to evaluate the role and implications of calcium homeostasis in GAD, considering its relationships to sleep and anxiety symptoms. Moreover, the study includes the concomitant assessment of Vit D, PTH, and Ca++ levels to assess and analyze the whole metabolism axis. Nevertheless, future large-scale prospective studies are needed to confirm the findings of this study and to better clarify the association between calcium imbalance, sleep quality, and psychopathology severity. Identifying and addressing sleep quality, insomnia, and calcium imbalance may have a positive impact on the prognosis and quality of life of patients with GAD.
5. Conclusions
In conclusion, the study found a strong association between levels of parathyroid hormone and Vit D, sleep quality, and anxiety symptomatology in patients suffering from GAD. The study results suggest that patients with GAD and low levels of Vit D and higher levels of PTH exhibit poor quality of sleep and higher levels of anxiety highlighting its impact on the psychopathological burden. Results should suggest that calcium homeostasis may be disrupted in this population but additional prospective studies in real-world settings with direct comparisons between these two conditions are needed. Therefore, it may represent an area of clinical research interest for the future, to reach more patients focused on clinical practice to anticipate a precise diagnosis, manage personalized treatment, and improve prognosis. Indeed, future studies could shed light on the causal and temporal relationship existing between calcium metabolism imbalance, anxiety, and sleep, opening new and interesting frontiers in both clinical and research fields.
Tableaux
Table 1
Serum levels cut-off for biological variables.
| Deficiency Level | Intermediate Level | Excess Level | |
|---|---|---|---|
| Vit D | <20 ng/mL | 21–29 ng/mL (insufficiency level) | >100 ng/mL |
| Ca++ | <8.8 mg/dL | 8–10 mg/dL | >10 mg/dL |
| PTH | <15 pg/mL | 15–55 pg/mL | >55 pg/mL |
Table 2
Socio-demographic and clinical variables.
| Total Sample | |||
|---|---|---|---|
| N (%) | |||
| Sex | Female | 108 (51.2) | |
| Male | 103 (48.8) | ||
| Diploma | yes | 161 (76.3) | |
| Marital status | Single | 3 (1.4) | |
| Married | 96 (45.5) | ||
| Co-habiting | 78 (37.0) | ||
| Divorced | 32 (15.2) | ||
| Widowed | 2 (0.9) | ||
| Occupation | Unemployed | 73 (34.6) | |
| Employed | 133 (63.0) | ||
| Retired | 5 (2.4) | ||
| Family Psychiatric History | yes | 136 (64.5) | |
| M (SD) | Range | ||
| Age | 46.91 (13.76) | 22–75 | |
| Age at onset of GAD | 27.82 (11.01) | 16–66 | |
| HAM-A | Total score | 25.6 (13.74) | 7–54 |
| PSQI | Quality | 1.75 (1.03) | 0–3 |
| Latency | 1.52 (1.11) | 0–3 | |
| Duration | 1.51 (0.94) | 0–3 | |
| Efficiency | 1.43 (0.99) | 0–3 | |
| Disturbances | 1.43 (1.04) | 0–3 | |
| Medication | 1.62 (1.10) | 0–3 | |
| Dysfunction | 1.64 (1.10) | 0–3 | |
| Total score | 10.96 (6.18) | 0–21 | |
| ISI | Total score | 14.36 (8.22) | 0–33 |
| Calcium level | 9.46 (0.38) | 8.60–11.00 | |
| PTH level | 54.64 (20.45) | 12.40–87.00 | |
| Vit D level | 29.42 (25.10) | 4.0–332.0 | |
Table 3
Results of Spearman correlation analysis.
| Ca++ | PTH | Vit D | HAM-A Total | PSQI Quality | PSQI | PSQI | PSQI | PSQI | PSQI Medication | PSQI Dysfunction | PSQI Total | ISI Total | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Ca++ | - | ||||||||||||
| PTH | −0.115 | - | |||||||||||
| Vit D |
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| HAM-A Total |
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| PSQI Quality |
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| PSQI Latency |
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| PSQI Efficiency |
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| PSQI Disturbances |
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| PSQI Medication |
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| PSQI Dysfunction |
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| PSQI Total |
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Table 4
Linear regression analysis.
| Dependent Variable | Independent Variables | Not Standardized Coefficients | Standardized Coefficients | Sign. | ||
|---|---|---|---|---|---|---|
| B | Error Standard | Beta | t | |||
| PSQI Total | PTH | 0.212 | 0.015 | 0.700 | 140.198 |
|
| Vit D | −0.035 | 0.012 | −0.144 | −20.909 |
| |
| Ca++ | −0.485 | 0.706 | −0.030 | −0.686 | 0.493 | |
| a Model 1 | Dependent variable: PSQI Total; R2 = 0.603; F = 80.752; | |||||
| HAM-A Total | PTH | 0.516 | 0.030 | 0.767 | 170.457 |
|
| Vit D | −0.067 | 0.024 | −0.123 | −20.783 |
| |
| Ca++ | 0.813 | 10.398 | 0.023 | 0.581 | 0.562 | |
| b Model 2 | HAM-A Total; R2 = 0.685; F = 115.137; | |||||
| ISI Total | PTH | 0.306 | 0.018 | 0.759 | 160.781 |
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| Vit D | −0.035 | 0.015 | −0.108 | −20.375 |
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| Ca++ | −10.203 | 0.862 | −0.056 | −10.395 | 0.164 | |
| c Model 3 | Dependent | variable: ISI Total; R2 = 0.672; F = 105.516; | ||||
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