Vitamin D as a Modifiable Risk Factor in Schizophrenia a Systematic Review
Abstract
1. Introduction
1.1. Vitamin D Metabolism
1.2. Serum Concentrations of 25(OH)D
1.3. Vitamin D Sources
1.3.1. Sun Exposure
1.3.2. Dietary Intake
1.3.3. Supplementation
2. Materials and Methods
3. Results
3.1. Maternal Vitamin D
3.2. Neonatal Vitamin D
3.3. Vitamin D Status in Population Diagnosed with Schizophrenia
3.4. Symptoms
3.5. Medication
3.6. Neurobiological Implications
3.7. Bone Health
3.8. Metabolic Syndrome
3.9. Influence of Sun Exposure on Vitamin D Concentration
3.10. Influence of Blood Markers on Vitamin D
3.11. Other Mental Disorders
4. Discussion
5. Conclusions
Author Contributions
Funding
Conflicts of Interest
Abbreviations
1,25-(OH)2D | calcitriol |
DBP | Vitamin D-binding protein |
25(OH)D | Calcidiol |
VDR | Vitamin D receptor |
IU | International unit |
SPF | Sun protection factor |
PANSS | Positive and negative syndrome scale |
SANS | Scale for the assessment of negative symptoms |
SAPS | Scale for the assessment of positive symptoms |
BACS | Brief assessment of cognition in schizophrenia |
TMT | Trail making test |
DSM | Diagnostic and statistical manual of mental disorders |
ICD | International classification of diseases |
EPS | Extrapyramidal symptoms |
PTH | Parathyroid hormone |
MDD | Major depressive disorder |
CRP | C-reactive protein |
BDNF | Brain-derived neurotrophic factor |
MetS | Metabolic syndrome |
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Scheme 25. Hydroxyvitamin D [25(OH)D] Concentration (nmol/L) | Serum 25-Hydroxyvitamin D [25(OH)D] Concentration (ng/mL) | Health Status |
---|---|---|
<30 | 6 to <12 | Vitamin D Deficiency |
>30 to <50 | 12 to <20 | Vitamin D Insufficiency—considered inadequate for bone and overall health in healthy individuals |
≥50 | ≥20 | Generally considered adequate for bone and overall health in healthy individuals |
Study | D1 | D2 | D3 | Overall |
---|---|---|---|---|
McGrath et al. [27] | ||||
Sourander et al. [28] | ||||
McGrath et al. [29] | ||||
Eyles et al. [30] | ||||
Rey-Sanchez et al. (2009) [31] | ||||
Okasha et al. (2020) [32] | ||||
Jamilian et al. (2013) [33] | ||||
Zhu et al. (2015) [34] | ||||
Ghosh et al. (2023) [35] | ||||
Yazici et al. (2019) [36] | ||||
Yazici et al. (2019) [37] | ||||
Shahini et al. (2022) [38] | ||||
Yuan et al. (2020) [39] | ||||
Bulut et al. (2016) [40] | ||||
Rajith et al. 2022 [41] | ||||
Van der Leeuw et al. (2020) [42] | ||||
Salavert et al. (2017) [43] | ||||
Kulaksizoglu et al. (2017) [44] | ||||
Itzhaky et al. (2012) [45] | ||||
Azar et al. (2017) [46] | ||||
Yüksel et al. (2014) [47] | ||||
Clelland et al. (2014) [48] | ||||
Goh et al. (2024) [49] | ||||
Akinlade et al. (2017) [50] |
Study | D1 | D2 | D3 | Overall |
---|---|---|---|---|
Shivakumar et al. (2015) [51] | ||||
Prasanty et al. (2018) [52] | ||||
Boerman et al. (2016) [53] | ||||
Schneider et al. (2000) [54] | ||||
Gaebler et al. (2022) [55] | ||||
Humble et al. (2010) [56] | ||||
Menkes et al. (2012) [57] | ||||
Arya et al. (2023) [58] | ||||
Partti et al. (2010) [59] | ||||
Eskelinen at al. (2020) [60] | ||||
Yoo et al. (2018) [61] | ||||
Cieslak et al. (2014) [62] | ||||
Gaebler et al. (2022) [63] | ||||
Lally et al. (2016) [64] | ||||
Ling et al. (2023) [65] |
No. | Study | BMI | Sun Exposure | Ethnicity | Smoking | Comorbidities | Medication Adherence | Other Notes |
---|---|---|---|---|---|---|---|---|
1 | Rey-Sanchez et al. (2009) [31] | Assessed but not included in regression models | Not assessed | Spanish | Not adjusted | Individuals with low-trauma fractures and other causes of hyperprolactinemia were excluded | Not adjusted for | Controlled for age |
2 | Shivakumar et al. (2015) [51] | Not assessed | Not assessed | Indian | No smoking 24 h prior to blood draw | Substance abuse (excluding nicotine) excluded | Drug naïve/free subjects | Controlled for age, years of education, and total intracranial volume (in VBM analyses). |
3 | Prasanty et al. (2018) [52] | Assessed but not included in regression models | 30 min daily mid-day sunlight exposure prior to blood draw | Batak tribe | Not assessed | General medical/psychiatric comorbidities were excluded at enrollment—not adjusted for | Fixed dose of risperidone—not adjusted for | Key confounding factors were explicitly controlled at the design level and during statistical stratification |
4 | Okasha et al. (2020) [32] | Not assessed | Not assessed | Egyptian | Not assessed | General medical/psychiatric comorbidities were excluded at enrollment—not adjusted for | Not adjusted for | Controlled for age, gender, and social standard (matched) |
5 | Boerman et al. (2016) [53] | Not assessed | Adjusted for season of sampling | Dutch (they noted non-Western immigrants at risk) | Not assessed | General medical/psychiatric comorbidities were excluded at enrollment—not adjusted for | Not assessed | Adjusted for diagnosis, ethnicity, season of sampling |
6 | Schneider et al. (2000) [54] | Not assessed | Not assessed | No information on ethnicity (German sample) | Not assessed | Patients with renal or hepatic insufficiency were excluded—not adjusted for | Not assessed | Stratified comparisons and subgroup testing |
7 | Jamilian et al. (2013) [33] | Not assessed | Not assessed | Iranian | Not assessed | General medical comorbidities were excluded at enrollment—not adjusted for | Not assessed | General linear models (covariates included: sex, medical history, history of psychiatric hospitalization, substance abuse, education level, marital status, income level, employment status, and family history of psychiatric disorder) |
8 | Gaebler et al. (2022) [55] | Not assessed | Not assessed | No information on ethnicity (German sample) | Not assessed | Not assessed | Not assessed | The study adjusted for anticholinergic drug burden and mutually adjusted cognitive scores in multivariate analysis |
9 | Zhu et al. (2015) [34] | Adjusted for | Adjusted for season of blood draw (winter–spring vs. summer–autumn) | Chinese | Not assessed | Not assessed | Not assessed | Adjusted for age, sex, residence (urban vs. rural), BMI, education (<12 vs. ≥12 years), monthly income, and season of blood draw |
10 | Ghosh et al. (2023) [35] | Assessed, not adjusted for | Not assessed | Indian | Not assessed | General medical comorbidities were excluded at enrollment—not adjusted for | Drug free subjects | Controlled for confounding through design features like age/sex matching |
11 | Yazici et al. (2019) [36] | Not assessed | Seasonality of blood draw | Turkish | Not assessed | Not assessed | Chlorpromazine-equivalent antipsychotic dose | Controlled for age, sex, PANSS/CGI/GAF scores, inpatient vs. outpatient (relapse vs. remission), and Vitamin B12 and folate status |
12 | Yazici et al. (2019) [37] | Not assessed | Not assessed | Turkish | Not assessed | Not assessed | Not assessed | No variables were adjusted for the statistical models, and no regression or multivariate modeling was performed |
13 | Shahini et al. (2022) [38] | Not assessed | Not assessed | Iranian | Not assessed | Not assessed | Not assessed | Matched for age and sex (no analytic adjustment was conducted) |
14 | Yuan et al. (2020) [39] | Assessed, not adjusted for | Not assessed | Chinese | Not assessed | Not assessed | Assessed, but not adjusted for | Controlled for age, sex, albumin, bilirubin, triglyceride, and cholesterol |
15 | Bulut et al. (2016) [40] | Assessed, not adjusted for | Not assessed | Turkish | Self-reported smoking history | Excluded comorbid Axis I disorder, an organic/medical condition, and use of medications that affect vitamin D level | Not assessed | Design-based adjustments |
16 | Humble et al. (2010) [56] | Not assessed | Adjusted for season of blood draw | Self-reported (Northern vs. Southern origin) | Not assessed | Comorbid diagnoses present but main diagnosis used for analysis | Comorbid psychiatric diagnoses are present, but only primary diagnosis was entered into the analysis. | Ethnicity, age, sex, and diagnosis group were examined in relation to 25-OHD and iPTH levels via stratified comparisons |
17 | Menkes et al. (2012) [57] | Not assessed | Not assessed | Maori vs. Pākehā | Not assessed | General psychiatric outpatients | Patients represented a “real-world” outpatient population (no exclusions) | Results stratified by ethnicity (Maori vs. non-Maori), diagnosis, sex, and age |
18 | Arya et al. (2023) [58] | Not assessed | Not assessed | Iranian | Collected information on smoking history | Patients with any acute or chronic illness known to affect vitamin D, calcium, PTH, or CRP were excluded | Excluded any acute or chronic illness known to affect vitamin D, calcium, PTH, or CRP | Results stratified by diagnosis, first episode psychosis vs. chronic psychosis, sex, education level, and marital status |
19 | Partti et al. (2010) [59] | Adjusted for | Not assessed | Finnish | Adjusted for smoking status | Excluded patients on osteoporosis medication | Adjusted for current antipsychotic/mood-stabilizer use | Broadband ultrasound attenuation (BUA) and Speed of Sound (SOS), standardized by age/sex (Z-scores); women: current oral estrogen-use and menstruation status; men: highest educational level and weekly alcohol consumption |
20 | Rajith et al. 2022 [41] | Recorded and analyzed | Collected via self-report (hours/day); categorized as <1 h, 1–3 h, >3 h | Indian | Assessed | Excluded those with metabolic, hepatic, and renal disorders, as well as intellectual disability or substance dependence (other than nicotine) | Patients in remission with a minimum of 6 months on treatment (adherence not assessed) | The study controlled for potential confounders through inclusion/exclusion criteria and matching on age and sex |
21 | Eskelinen at al. (2020) [60] | Obesity status used in subgroup analyses (no mean BMI given) | Not assessed | Finnish | Not assessed | Not assessed | Not assessed | Not assessed through interaction terms or stratified models, but subgroup results for obesity and clozapine use were explored descriptively |
22 | Van der Leeuw et al. (2020) [42] | Not assessed | Adjusted for season of blood draw | Dutch (Caucasian) vs. non-Caucasian | Not assessed | Not assessed | Not assessed | Adjusted for age and sex; assessed PANSS scores |
23 | Salavert et al. (2017) [43] | Not assessed | Assessed daily sun exposure (suitable: ≥30 min/day); season of birth included as regressor | European | Not assessed | Excluded major medical/neurological disease and recent substance use | Antipsychotic-naïve at baseline | Adjusted for sex, season of birth, calcemia, Ca-intake, and sun exposure (multiple linear regression) |
24 | Yoo et al. (2018) [61] | Assessed, not adjusted for | Not assessed | Korean | Not assessed | Excluded active substance use | Not assessed | Adjusted for physical activity (IPAQ) and dietary habit scores |
25 | Cieslak et al. (2024) [62] | Not assessed | Not assessed | Not assessed | Not assessed | Not assessed | All stable on antipsychotics (no med changes ≥1 month) | Controlled for age and sex |
26 | Kulaksizoglu et al. (2017) [44] | Assessed, not adjusted for | Not assessed | Turkish | Assessed, not adjusted for | Excluded chronic diabetes, cardiovascular disease and hypertension | Not assessed | The study did not adjust for potential confounders in statistical modeling |
27 | Gaebler et al. (2022) [63] | Not assessed | Not assessed | No information on ethnicity (German sample) | Not assessed | Not assessed | Normalized for antipsychotic dose and explicitly modeled drug identity/CYP3A4-dependence | The study adjusted for analytic variables (metabolism modeling and drug identity) |
28 | Lally et al. (2016) [64] | Mean BMI not reported; waist circumference measured and correlated | Adjusted for season of draw | UK sample (Black African/Caribbean vs. White noted) | Assessed, not adjusted for | Excluded other psychiatric disorders | Not assessed | Adjusted for age and sex, ethnicity, and season of sampling |
29 | Itzhaky et al. (2012) [45] | Not assessed | Not assessed | Israeli | Not assessed | No physical health or comorbidity exclusions were imposed | Assessed, not adjusted for | Confounding assessed via group stratification and comparisons |
30 | Azar et al. (2017) [46] | Not assessed | Weekly hours of sun exposure (adjusted for) | Lebanese | Assessed, not adjusted for | Excluded any metabolic disease known to affect serum vitamin D concentrations | Assessed, not adjusted for | Multivariate logistic: socioeconomic level, sun exposure, and MRSS score |
31 | Yüksel et al. (2014) [47] | Not assessed | Daily duration of sun exposure (self-report) (not adjusted for) | Turkish | Assessed, not adjusted for | Excluded substance dependence, organic mental disorders, learning disabilities, and metabolic diseases affecting vitamin D | On antipsychotics (remission vs. acute groups) | Controlled through study design (matching on age and sex; standardized season of recruitment) |
32 | Clelland et al. (2014) [48] | Not assessed | Season of blood draw (adjusted for) | African-American, Caucasian, and Hispanic (matched) | Not assessed | Excluded organic disorders and substance dependence | Not assessed | Adjusted for education level, ethnicity, and season |
33 | Ling et al. (2023) [65] | Not assessed | Not assessed | Chinese | Not assessed | None | Not assessed | Adjusted for age, sex, education, and disease duration |
34 | Goh et al. (2024) [49] | WHO Asian cut-offs for subgroup analyses | Not assessed | Malaysian | Adjusted for | Excluded other psychoses and substance abuse | Stratified analyses by drug class | Adjusted for age, sex, ethnicity, and smoking status |
35 | Akindale et al. (2017) [50] | Assessed | Not assessed | No information on ethnicity (Nigerian sample) | Not assessed | Excluded patients with severe/unstable medical comorbidities | Not assessed | Confounding controlled through group design and mean comparisons |
Study | Year | Study Design | n: Cases/Controls | Samples Collection | Diagnosis | Results |
---|---|---|---|---|---|---|
Maternal Vitamin D | ||||||
McGrath et al. [27] | 2003 | Case–control | Cases: 26 Controls: 51 | Third trimester | DSM-IV | There was no significant difference in third trimester maternal vitamin D in the entire sample; OR 0.98 (95% CI 0.92–1.05). |
Sourander et al. [28] | 2024 | Case–control | Cases: 1145 Controls: 1145 | First and early second trimester | ICD-9 ICD-10 | Maternal vitamin D levels in early pregnancy were not associated with offspring schizophrenia in unadjusted (OR 0.96, 95% CI 0.78–1.17, p = 0.69) or adjusted analyses (OR 0.98, 95% CI 0.79–1.22, p = 0.89). |
Neonatal Vitamin D | ||||||
McGrath et al. [29] | 2010 | Case–control | Cases: 424 Controls: 424 | Dried blood spots from newborns | ICD-10 | Both low and high concentrations of neonatal vitamin D are associated with an increased risk of schizophrenia. Compared with the fourth quintile, neonates in the lowest quintile had a RR of 2.1 (95% CI, 1.3–3.5) while those in the second and third quintiles had a RR of 2.0 (95% CI, 1.3–3.2) and 2.1 (95% CI, 1.3–3.4), respectively. The highest quintile also had a significantly increased RR of 1.71 (95% CI, 1.04–2.8). |
Eyles et al. [30] | 2018 | Case–control | Cases: 1301 Controls: 1301 | Dried blood spots from newborns | ICD-10 | Compared with the reference (fourth) quintile, those in the lowest quintile (<20.4 nmol/L) had a significantly increased risk of schizophrenia (IRR = 1.44, 95%CI: 1.12–1.85). |
Study | Study Design | Diagnosis | n: Cases/Controls | Sex Distribution in Study Group | Age (Mean ± SD) | Antipsychotic Medication | Vitamin D—25(OH)D3 (ng/mL) (Mean ± SD) | Results |
---|---|---|---|---|---|---|---|---|
Rey-Sanchez et al. (2009) [31] | Cross-sectional; Case–control | DSM-IV | Cases: 73 Controls: 73 | Female: 25 Male: 48 | Female: 59.84 ± 17.01 Male: 61.89 ± 12.95 | Yes | Female: 20.42 ± 26.05 Male: 15.12 ± 11.96 | A total of 74.1% of women and 69.6% of men had vitamin D levels below 15 ng/mL. There was a significant negative correlation between vitamin D and PTH levels in both men and women (p < 0.0001). |
Shivakumar et al. (2015) [51] | Cross-sectional | DSM-IV | Cases: 35 | Female: 15 Male: 20 | 32.14 ± 6.6 | No | 14.5 ± 5.7 | A total of 97% percent of the schizophrenia patients had suboptimal levels of vitamin D (83% deficiency). A significant positive correlation between vitamin D levels and the right hippocampal gray matter volume was found (p = 0.002). Serum vitamin D did not correlate significantly with symptom scores. |
Prasanty et al. (2018) [52] | Cross-sectional | ICD-10 | Cases: 54 | Female: 19 Male: 26 | Female: 29.684 ± 5.478 Male: 31.167 ± 8.241 | Yes | Female: 18.400 ± 3.877 Male: 23.639 ± 4.990 | There was a significant difference between male and female serum levels (p < 0.05). The lower the serum levels of vitamin D, the higher the total score of the PANSS. |
Okasha et al. (2020) [32] | Cross-sectional; Case–control | DSM-IV | Cases: 20 Controls: 20 | N/A | 31 ± 8 | Yes | 27.4 ± 27.5 | A total of 80% of patients with schizophrenia had below normal vitamin D levels. Schizophrenia patients had lower vitamin D levels than control group but higher levels than patients with major depressive disorder (MDD). The difference between schizophrenia and the MDD groups was not statistically significant (p = 0.298). |
Boerman et al. (2016) [53] | Cross-sectional | DSM-IV | Cases: 149 | N/A | N/A | Yes | Female: 21.12 ± 11.78 Male: 17.55 ± 9.75 | Vitamin D levels were deficient in 34.7% of the patients with schizophrenia or schizoaffective disorder. There was no significant difference between bipolar disorder and schizophrenia or schizoaffective disorder. Vitamin D deficiency was 4.7 times more common among psychiatric patients than among the Dutch population. |
Schneider et al. (2000) [54] | Cross-sectional | DSM-III | Cases: 34 | Female:15 Male: 19 | 38.9 ± 2.1 | N/A | 35.16 ± 26.1 | Patients with schizophrenia had significantly lower 25(OH)D levels than healthy controls (p < 0.02). There was no significant difference between groups (schizophrenia, depression, alcoholism). The levels of 25(OH)D negatively correlated with the parathyroid hormone (p < 0.01). |
Jamilian et al. (2013) [33] | Cross-sectional | DSM-IV | Cases: 100 Controls: 100 | Female: 32 Male: 68 | 35.67 ± 10.46 | N/A | 47.00 ± 11.39 | The serum vitamin D levels in healthy participants were significantly higher than in both depressed (p < 0.001) and schizophrenic (p = 0.001) patients. There was no significant difference between the vitamin D levels in the depressed and schizophrenic group (p = 0.563). |
Gaebler et al. (2022) [55] | Cross-sectional | DSM-V | Cases: 141 | Female: 40 Male: 101 | 33.1 ± 11.4 | Yes | 14.5 ± 8.9 | A total of 78% of patients exhibited low vitamin D levels, with more pronounced cognitive impairments. |
Zhu et al. (2015) [34] | Cross-sectional | DSM-IV | Cases: 93 Controls: 93 | Female: 49 Male: 44 | 29.49 ± 9.93 | No | 10.55 ± 5.32 | The mean 25(OH) levels were 39.6% lower for patients with schizophrenia compared to controls. Participants with a high CRP and low 25(OH)D had the highest prevalence of schizophrenia, while participants with a low CRP and high 25(OH)D had the lowest. |
Ghosh et al. (2023) [35] | Cross-sectional | ICD-10 | Cases: 50 Controls: 50 | N/A | N/A (20–39 yo) | no | Median: 12.45 ng/mL | The median level of vitamin D was statistically significant (p = 0.009) among the cases (12.45 ng/mL) and among the controls (20.03 ng/mL). |
Yazici et al. (2019) [36] | Cross-sectional | DSM-IV | Inpatient: 30 Outpatient: 30 Controls: 28 | Male: 60 | Inpatients: 40.63 ± 13.5 Outpatients: 40.50 ± 10.59 | Yes | Inpatients: 16.20 ± 17.93 Outpatients: 11.37 ± 4.58 | The study found no statistically significant differences in vitamin D levels between the control group and schizophrenia patients, both in acute and remission stages. The correlation between vitamin D level and PANSS score was not significant. |
Yazici et al. (2019) [37] | Cross-sectional | DSM-V | Cases: 189 Controls: 109 | Female: 81 Male: 108 | 41.44 ± 12.28 | N/A | 17.52 ± 9.65 | The study found that 66.46% of schizophrenia subjects had vitamin D insufficiency and 21.95% had a deficiency, leading to an overall insufficiency/deficiency incidence of 88.41%. The vitamin D deficiency was significantly higher in the schizophrenia group than in the substance use disorder (p ≤ 0.001) and healthy control (p ≤ 0.05) groups. |
Shahini et al. (2022) [38] | Case–control | DSM-V | Cases: 33 Controls: 33 | Female: 8 Male: 25 | Median 40 (34–47 yo) | N/A | Median (µg/dl) 5.3 (1.75–9.65) | Serum vitamin D levels were significantly lower in schizophrenic patients than in the general population (p = 0.035). The correlation between vitamin D level and PANSS score was not significant. |
Yuan et al. (2020) [39] | Case–control | DSM-IV | Cases: 163 Controls: 75 | Male/Female: Aripiprazole 24/27 Olanzapine 25/23 Paliperidone 17/16 Amisulpride 14/11 Nonmedicated 3/3 | Aripiprazole 28.8 ± 11.1 Olanzapine 28.7 ± 7.9 Paliperidone 29.1 ± 9.3 Amisulpride 30.8 ± 9.8 Nonmedicated 29.7 ± 10.4 | yes | Aripiprazole 13.5 ± 5.5 Olanzapine 10.4 ± 5.3 Paliperidone 10.7 ± 4.8 Amisulpride 7.7 ± 4.6 Non-medicated 8.1 ± 2.6 | Significantly lower vitamin D concentrations were found in the non-medicated group compared with healthy controls after covariance analysis. Additionally, aripiprazole could affect vitamin D concentrations in vivo, and a positive correlation between aripiprazole concentrations and vitamin D concentrations (r = 0.319, p = 0.025) was seen in the aripiprazole group. |
Bulut et al. (2016) [40] | Cross-sectional | DSM-IV | Cases: 80 Controls: 74 | Female: 38 Male: 42 | 36.59 ± 9.96 | N/A | 23.46 ± 13.98 | There was no significant difference in 25(OH)D levels between schizophrenia and healthy control groups. Lower vitamin D correlated with the occurrence of positive and negative symptoms along with an increased severity of the symptoms. |
Humble et al. (2010) [56] | Cross-sectional | ICD-10 | Cases: 20 | Female: 12 Male: 8 | 47.4 | N/A | Median 35 (23.5; 52.5) | Only 14.5% of the patients had recommended levels of 25-OHD, whereas 56.4% of patients had vitamin D levels under 50 nmol/l. There was a negative correlation between 25OHD and iPTH (p = 0.002). |
Menkes et al. (2012) [57] | Cross-sectional | DSM-IV | Cases: 38 | N/A | N/A | yes | 13.8 ± 6.16 | Vitamin D varied by diagnosis, with schizophrenia associated with markedly lower levels than mania and depression (p < 0.001). A total of 34% of schizophrenia patients had vitamin D deficiency, compared with 9.4% of other participants (p = 0.003). |
Arya et al. (2023) [58] | Cross-sectional | DSM-IV | Cases: 49 | Female: 10 Male: 39 | 24.92 ± 2.85 | no | Median 10.8 (3.4–36.7) | There was no significant difference in vitamin D levels between schizophrenia and controls. |
Partti et al. (2010) [59] | Cross-sectional | DSM-IV | Cases: 48 | Female: 28 Male: 20 | 53.5 (95% Cl 52.2–56.7) | yes | 15.59 (95% Cl 13.76–17.36) | Significantly lower vitamin D levels were observed in subjects with schizophrenia in comparison with the general population (p = 0.006). Women with schizophrenia had significantly lower bone ultrasound values compared with matched controls (p = 0.001). |
Rajith et al. 2022 [41] | Cross-sectional | DSM-V | Cases: 74 Controls: 72 | Female: 26 Male: 48 | 42.7 ± 13 | yes | 16.25 ± 5.5 | There was no significant difference in the mean vitamin D levels between groups. Antipsychotic treatment had no significant effect on vitamin D. |
Eskelinen at al. (2020) [60] | Cross-sectional | N/A | Cases: 275 | Female: 85 Male: 190 | 44.9 ± 12.6 | yes | 21.24 ± 7.84 | A total of 47% of schizophrenia patients had vitamin D levels below the reference range. |
Van der Leeuw et al. (2020) [42] | Cross-sectional | DSM-IV | Cases: 347 Controls: 282 | Female: 79 Male: 268 | 30.3 ± 6.9 | yes | 18.8 ± 10.44 | Vitamin D concentrations were significantly lower in patients (p = 0.005). Urbanicity at birth was negatively associated with vitamin D concentration in schizophrenia (p = 0.020). Higher vitamin D was associated with a lower PANSS score. |
Salavert et al. (2017) [43] | Cross-sectional; Case–control | DSM-IV | Cases: 22 Controls: 22 Other psychoses: 22 | Female: 6 Male: 16 | 31.1 ± 9.2 | no | 13.14 ± 5.96 | Schizophrenia had significantly lower levels of vitamin D compared with controls (p < 0.001). No significant differences were found between schizophrenia versus other psychoses groups. |
Yoo et al. (2018) [61] | Cross-sectional | ICD-10 | Cases: 302 | Female: 134 Male: 168 | 40.7 ± 12.0 | yes | 15.5 ± 6.4 | A total of 78.1% of patients had vitamin D insufficiency. Vitamin D insufficiency was significantly associated with metabolic syndrome (p = 0.006) and hypertension (p = 0.017). |
Cieslak et al. (2024) [62] | Cross-sectional | N/A | Cases: 22 | Female: 9 Male: 13 | Female: 41.9: ± 9.6 Male: 44.3 ± 7.2 | yes | 17.3 ± 8.87 | A total of 91% of schizophrenia patients had deficient or insufficient Vitamin D levels. |
Kulaksizoglu et al. (2017) [44] | Cross-sectional | DSM-IV | Cases: 64 Controls: 54 | Female: 28 Male: 36 | 38.25 ± 7.69 | yes | 10.06 ± 2.64 | The schizophrenia patient group expressed lower vitamin D and brain-derived neurotrophic factor (BDNF) levels, and had a significant, positive correlation between BDNF and vitamin D levels (p = 0.017). Lower levels of vitamin D were found in the schizophrenia patient group with MetS compared with the patient group without metabolic syndrome (MetS); however, the difference was not significant. |
Gaebler et al. (2022) [63] | Cross-sectional | DSM-V | Cases: 80 | Female: 19 Male: 61 | Median 30 | yes | Median 12.6 | A negative relationship has been observed between vitamin D and dose-adjusted antipsychotic drug concentrations, which was particularly pronounced for drugs which were predominantly metabolized via CYP3A4 (aripiprazole and quetiapine). |
Lally et al. (2016) [64] | Cross-sectional | ICD-10 | Cases: 218 | N/A | N/A | N/A | 11.5 ± 6.7 | Individuals with non-affective psychosis had lower vitamin D levels than those with affective psychosis; however, the results were not significant (p = 0.061). |
Itzhaky et al. (2012) [45] | Cross-sectional | N/A | Cases: 50 Controls: 33 Depression group: 50 | Female: 16 Male: 34 | 40.2 ± 13.4 | yes | 15.0 ± 7.3 | Lower serum vitamin D concentrations were detected among patients with schizophrenia (15.0 ± 7.3 ng/mL) compared with patients with depression (19.6 ± 8.3 ng/mL, p < 0.05) and controls (20.2 ± 7.8 ng/mL, p < 0.05). The correlation between vitamin D levels and the PANSS score was not significant. |
Azar et al. (2017) [46] | Case–control | N/A | Cases: 100 Controls: 100 | Female: 30 Male: 70 | 37.00 ± 11.65 | yes | N/A (groups were divided into <25 ng/mL or >25 ng/mL 25(OH)D) | Schizophrenia patients had lower vitamin D levels compared with control group; the difference was not significant (p = 0.053). |
Yüksel et al. (2014) [47] | Case–control | DSM-IV | Cases: remission: 41 acute: 40 Controls: 40 | Remission Female: 14 Male: 27 Acute Female:20 Male:20 | Remission: 38.85 ± 10.64 Acute: 38.08 ± 11.26 | Median (25–75%) Remission: 15.03 (9.8–20.1) Acute: 15.02 (8–21.7) | Patients in an acute episode had significantly lower vitamin D levels compared with patients in remission and healthy controls (p < 0.0001). There were no significant differences between groups in terms of serum p, Ca and PTH levels. No significant impact of weekly duration of sun exposure on total vitamin D levels. | |
Clelland et al. (2014) [48] | Case–control | DSM-IV | Cases: 64 Controls: 90 | Female: 33 Male: 31 | 38.5 ± 11.3 | yes | 31.63 ± 22.64 | Patients with schizophrenia had significantly lower levels of 25(OH)D compared to matched controls (OR 2.1, adjusted p = 0.044, 95% CI: 1.02–4.46). The results suggest that over one third of the association between 25(OH)D insufficiency and schizophrenia may be explained by the presence of hyperprolinemia. |
Ling et al. (2023) [65] | Cross-sectional | DSM-V | Cases: 118 | Female:46 Male: 72 | 43.13 ± 10.17 | yes | n/o (groups were divided into <30 ng/mL or >30 ng/mL 25(OH)D) | Patients with vitamin D insufficiency had higher bone resorption marker levels and lower bone formation marker levels compared with those with sufficiency. There was no direct association between vitamin D levels and overall cognitive function (RBANS). |
Goh et al. (2024) [49] | Case–control | DSM-V | Cases: 150 Controls: 139 | Female:70 Male: 80 | 42.6 ± 17.6 | yes | n/o (groups were divided into <30 ng/mL (deficiency) and <20 ng/mL (insufficiency) 25(OH)D | Patients with schizophrenia had significantly lower serum vitamin D levels compared to healthy controls (p < 0.01), especially those taking atypical antipsychotics (p = 0.02) and those who were obese (BMI ≥ 27.5 kg/m2) (p = 0.04). |
Akindale et al. (2017) [50] | Case–control | DSM-IV ICD-10 | Cases: 60 Controls: 30 | n/a | 35.10 ± 9.15 | yes | 19.75 ± 5.19 | Vitamin D was significantly lower in patients with schizophrenia compared with the controls (p < 0.05). There was no significant correlation between vitamin D level and PANSS scores (p = 0.66). |
Study | Symptoms Scale | Effect | Notes |
---|---|---|---|
Shivakumar et al. (2015) [51] | SANS, SAPS | 0 | No significant relationship with vitamin D level. |
Shahini et al. (2022) [38] | PANSS | 0 | No significant relationship with vitamin D level. |
Itzhaky et al. (2012) [45] | PANSS | 0 | No significant relationship with vitamin D level. |
Yazici et al. (2019) [37] | PANSS, CGI, GAF | 0 | No significant relationship with vitamin D level. |
Akinlade et al. (2017) [50] | PANSS | 0 | No significant relationship with vitamin D level. |
Prasanty et al. (2018) [52] | PANSS | - | Negative correlation between serum levels of vitamin D and the PANSS score in schizophrenic patients for positive PANSS score (p < 0.001), negative PANSS score (p < 0.001), general psychopathology (p < 0.001), and total PANSS score (p < 0.001). |
Bulut et al. (2016) [40] | SANS, SAPS | - | Negative correlations found for SANS total points (p = 0.038), attention points (p = 0.044), and positive formal thoughts (p = 0.021) |
Van der Leeuw et al. (2020) [42] | PANSS | - | Higher vitamin D concentration was associated with lower positive (p = 0.049) and negative symptom levels (p = 0.008). |
Gaebler et al. (2022) [55] | TMT, BCRS | + | Patients with lower vitamin D levels exhibited more pronounced cognitive impairments, after regression analysis the impact of vitamin D remained only significant for TMT-A (p-corrected = 0.045). |
Ling et al. (2023) [65] | RBANS | 0 | No significant relationship with vitamin D level. |
Study | Medication | Effect Direction | Notes |
---|---|---|---|
Rajith et al. (2022) [41] | haloperidol, trifluoperazine, risperidone, olanzapine, clozapine | 0 | No significant influence on vitamin D level. |
Itzhaky et al. (2012) [45] | non-specified antipsychotics | 0 | No significant influence on vitamin D level. |
Yuan et al. (2020) [39] | non-medicated | – | Vitamin D level was significantly lower than in health controls (Mean 8.1 ± 2.6 ng/mL vs. 13.1 ± 5.2; p < 0.05). Small sample, n = 6. |
olanzapine, paliperidone, amisulpride | 0 | No significant influence on vitamin D level. | |
aripiprazole | + | Positive correlation between aripiprazole plasma level and vitamin D (r = 0.319, p = 0.025). | |
Goh et al. (2024) [49] | atypical antipsychotics, combined antipsychotics | – | Atypical (p = 0.02) and combined (p = 0.02) antipsychotic users had significantly lower vitamin D levels compared to control. |
Gaebler et al. (2022) [63] | aripiprazole, quetiapine | – | Negative association between vitamin D concentration and antipsychotics predominantly metabolized by CYP3A4. The drug metabolism with aripiprazole (p = 0.031) and quetiapine (p = 0.006) exhibited the highest anti-correlation. Patients above median vitamin D more often had aripiprazole/quetiapine levels below therapeutic range. |
clozapine, risperidone, amisulpride, olanzapine | - | Non-significant inverse trend: amisulpride (p = 0.298), olanzapine (p = 0.228), clozapine (p = 0.58), and risperidone (p = 0.345). |
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Mosiołek, J.; Mosiołek, B.; Szulc, A. Vitamin D as a Modifiable Risk Factor in Schizophrenia a Systematic Review. Biomolecules 2025, 15, 1094. https://doi.org/10.3390/biom15081094
Mosiołek J, Mosiołek B, Szulc A. Vitamin D as a Modifiable Risk Factor in Schizophrenia a Systematic Review. Biomolecules. 2025; 15(8):1094. https://doi.org/10.3390/biom15081094
Chicago/Turabian StyleMosiołek, Jadwiga, Bartosz Mosiołek, and Agata Szulc. 2025. "Vitamin D as a Modifiable Risk Factor in Schizophrenia a Systematic Review" Biomolecules 15, no. 8: 1094. https://doi.org/10.3390/biom15081094
APA StyleMosiołek, J., Mosiołek, B., & Szulc, A. (2025). Vitamin D as a Modifiable Risk Factor in Schizophrenia a Systematic Review. Biomolecules, 15(8), 1094. https://doi.org/10.3390/biom15081094