Original Article |
Corresponding author: Muhammad Raza Sarfraz ( mrazasarfraz@outlook.com ) © 2025 Rehana Batool, Seemab Khan, Hur Abbas, Syed Muhammad Abbas, Mirza Shaheer Hyder, Syed Arbab Shah, Muhammad Raza Sarfraz, Humera Fiaz.
This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Citation:
Batool R, Khan S, Abbas H, Abbas SM, Hyder MS, Shah SA, Sarfraz MR, Fiaz H (2025) Serum Vitamin D levels in males with premature androgenetic alopecia: a prospective case-control study. Folia Medica 67(1): e138514. https://doi.org/10.3897/folmed.67.e138514
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Introduction: Androgenetic alopecia (AGA), the predominant form of hair loss, affects a significant global population. While emerging research suggests a potential correlation between serum vitamin D levels and AGA severity, the current body of evidence remains inconclusive, necessitating further investigation to elucidate this relationship and its clinical implications.
Objective: To evaluate serum vitamin D levels in AGA patients and explore their relationship with the condition’s severity.
Materials and methods: A seven-month prospective case-control study was carried out in Pakistan. Male participants aged 18-30 yeas were divided into AGA patients and matched controls. AGA severity was assessed using the Norwood-Hamilton classification, and serum vitamin D levels were measured via radioimmunoassay. Statistical analysis included chi-squared, Fisher’s exact, and unpaired t tests.
Results: Patients with AGA had significantly lower sun exposure and higher rates of vitamin D deficiency (84% vs. 22%, p<0.0001) compared to controls. These patients had a higher BMI (24.68±3.18 vs. 22.89±2.80, p=0.0035). Their serum vitamin D levels were significantly lower in patients (45.64±29.99 nmol/L) than controls (91.93±30.55 nmol/L, p<0.0001). A strong association was found between vitamin D deficiency and AGA (p<0.001). Vitamin D levels correlated with the severity of AGA, and ROC analysis showed high diagnostic accuracy (AUC=0.89, p<0.0001).
Conclusion: Serum vitamin D levels show a significant inverse association with AGA, with substantially lower concentrations and higher deficiency rates in patients compared to controls. The observed correlation between vitamin D levels and AGA severity suggests potential therapeutic implications for vitamin D supplementation in the management of AGA.
androgenetic alopecia, case-control study, hair loss, male pattern baldness, vitamin D deficiency
Alopecia is characterized by hair loss on different parts of the body and can be divided into two main types: scarring and non-scarring alopecia.[
The impact of AGA extends beyond its physical manifestations, significantly affecting patients’ psychosocial well-being and quality of life.[
The etiology of AGA is multifactorial, involving genetic predisposition, hormonal influences, and environmental factors. While androgens, particularly dihydrotestosterone (DHT), play a crucial role in AGA pathogenesis by affecting dermal papilla cells and causing hair follicle miniaturization, other factors such as chronic micro-inflammation and oxidative stress contribute to its development.[
Emerging research suggests a link between serum vitamin D levels and AGA, though evidence remains limited, particularly in regions with prevalent vitamin D deficiency. This study evaluates serum vitamin D in young male AGA patients and explores its relationship with disease severity in Pakistan, where data is scarce. Additionally, the role of androgen levels and micronutrient status in AGA remains unclear, underscoring a knowledge gap. By examining vitamin D’s role in AGA progression, this study may provide insights that in-form diagnostic and therapeutic approaches, advancing the understanding and management of AGA.
This was a hospital-based prospective case-control study conducted at the Department of Dermatology, Pakistan Navy Ship Shifa Hospital, Karachi, Pakistan, for over seven months, from March to August 2023. The sample size was determined using OpenEpi based on relevant research literature.[
Samples were selected using a random sampling technique. Subjects were categorized into two groups: the control group and the patient group, as illustrated in Fig.
Participants in the patient group were males aged 18 to 30 years with a clinical diagnosis of androgenetic alopecia. An equal number of healthy male controls, matched for age, socioeconomic status, and outdoor exposure, were recruited from volunteers attending the Dermatology Outpatient Department during the study period. Exclusion criteria included patients who refused to participate, those with a history of drug abuse, or those diagnosed with chronic illnesses, psychiatric disorders, or other scalp hair disorders such as alopecia areata, trichotillomania, tinea capitis, and traction alopecia. Individuals with clinical or biochemical evidence of hyperandrogenemia, those taking medications or supplements that could alter serum vitamin D levels (e.g., systemic corticosteroids, antiepileptic drugs, cholesterol-lowering drugs), and those with malabsorption disorders, nutritional deficiencies, or kidney, liver, or bone diseases were also excluded from the study.
Data were collected using a detailed questionnaire that included demographic information such as age, sex, socioeconomic status, and measurements like height, weight, and body mass index (BMI). Participants provided information about their occupation, mainly focusing on factors that might affect sun exposure, such as working or engaging in outdoor activities. The questionnaire also asked about sun exposure habits, estimating the time spent outdoors during daylight hours based on participants’ self-reports. The questionnaire covered a comprehensive medical history, including past or current health conditions, medications, and family history of androgenetic alopecia or related conditions. A thorough record of medication use was taken to identify any drugs that might influence hair growth or vitamin D levels. Participants also underwent a general physical examination to assess their overall health. To assess the type and severity of androgenetic alopecia, the Norwood-Hamilton classification system instrument was used to categorize patients.[
Blood samples were collected from each patient using standard venipuncture techniques. Following collection, the blood samples were immediately placed into serum separator tubes and allowed to clot at room temperature for 30 minutes. The samples were then centrifuged at 1500×g for 10 minutes to separate the serum. The serum was carefully aliquoted into sterile, labelled cryovials and stored at −80°C until further analysis. Serum vitamin D levels were measured using a highly sensitive and specific radioimmunoassay, following the standard protocols. The assay’s precision and accuracy were verified by including quality control samples with known vitamin D concentrations in each assay run. Vitamin D levels were categorized based on established clinical guidelines into three groups: deficiency (<25 nmol/L), insufficiency (25–75 nmol/L), and sufficiency (75–250 nmol/L).
Data were stored and analyzed using IBM SPSS version 25.0 and GraphPad Prism version 8.1. The normality of the data was assessed with the Shapiro-Wilk test. Categorical variables were presented as frequencies and percentages, while continuous variables were expressed as means and standard deviations. Categorical variables were analyzed using chi-squared or Fisher’s exact tests, including alopecia severity, hair loss site, AGA, and vitamin D level reference ranges. Unpaired t-tests were conducted to compare the means of continuous variables, such as age, BMI, and serum vitamin D levels (nmol/L), between the patient and control groups. Spearman’s rho test was used to assess correlations, and a heat map was generated to visualize the strength of these relationships. The ROC curve was employed to visualize the area under the curve. Data was visually presented using bar charts or box plots with whiskers. Statistical significance was set at p<0.05, with a 95% confidence interval.
The study followed the ethical guidelines set by institutional and national research committees and the principles of the Helsinki Declaration. Ethical approval was granted by the Pakistan Navy Ship Shifa Hospital’s Ethical Review Committee (reference No ERC/2023/Derm/02). Written, informed, and voluntary consent was obtained from all participants. Data was coded to ensure confidentiality and was accessible only to the principal investigator.
Out of a total of 100 participants in the study, there were equal numbers of patients (50%) and healthy con-trols (50%). The mean age of controls and patients were 23.28±4.10 and 24.42±3.87 years, respectively. Significant differences were observed between the patient and control groups across several variables.
The patient group had a higher percentage of married individuals (62% vs. 40%, p=0.04) and more people earning over 50,000 PKR (64% vs. 36%, p=0.02). While occupation and residential status were similar, patients had higher levels of graduation education (44% vs. 24%, p=0.06). Daily sun exposure was significantly lower in patients, with only 4% having more than 6 hours compared to 34% in controls (p=0.00). Vitamin D deficiency was notably higher in the patient group (84% vs. 22%, p<0.0001). These differences underscore the socioeconomic and clinical disparities between the groups (Table
Vitamin D status differed by group (p<0.001): 36% of patients were deficient, 48% insufficient, and 16% were sufficient, while controls had no deficiencies, 22% insufficiency, and 78% sufficient. All deficient and most insufficient participants were in the patient group, while 83% of those with sufficient levels were in the control group (Fig.
The distribution of vitamin D levels among patients with different initial hair loss sites and family history did not show statistically significant differences. Vitamin D insufficiency was common across all hair loss sites, with the temporal region showing 52.9% insufficiency (p=0.175). Similarly, patients without a family history had slightly higher vitamin D sufficiency (23.1% vs. 8.3% with a family history, p=0.352) (Table
Vitamin D levels varied significantly across AGA grades (p=0.002). Most patients with stage II alopecia had sufficient vitamin D (100%), while those with stages IV and V had higher rates of deficiency (50% and 81.8%, respectively). Stages II (A) and III (A) showed a mix of insufficiency and sufficiency, with no deficiency reported. These results indicate a clear association between alopecia stage and vitamin D levels (Fig.
The comparison between control and patient groups revealed significant differences in BMI and serum vitamin D levels but not in age. The patient group had a higher mean BMI (24.68±3.18) than controls (22.89±2.80), with a statistically significant p-value of 0.0035. Serum vitamin D levels were significantly lower in patients (45.64±29.99 nmol/L) than in controls (91.93±30.55 nmol/L), with a p-value of <0.0001, as shown in Table
Table
Comparison of demographic and clinical characteristics between patient and control groups, chi-square test.
Variables | Patients (50) | Control (50) | p-value | |
Frequency (%) | ||||
Marital status | Married | 31 (62%) | 20 (40%) | 0.04 |
Unmarried | 19 (38%) | 30 (60%) | ||
Monthly income (PKR) | Less than 20,000 | 1 (2%) | 3 (6%) | 0.02 |
Between 20,000 and 50,000 | 17 (34%) | 29 (58%) | ||
More than 50,000 | 32 (64%) | 18 (36%) | ||
Occupation type | Indoor | 30 (60%) | 36 (72%) | 0.29 |
Outdoor | 20 (40%) | 14 (28%) | ||
Residential status | Rural | 6 (12%) | 13 (26%) | 0.12 |
Urban | 44 (88%) | 37 (74%) | ||
Education | Illiterate | 1 (2%) | 0 (0%) | 0.06 |
Primary | 4 (8%) | 3 (6%) | ||
Secondary | 2 (4%) | 9 (18%) | ||
Higher Secondary | 21 (42%) | 26 (52%) | ||
Graduation | 22 (44%) | 12 (24%) | ||
Average sun exposure (hrs) | Less than 1 hour | 15 (30%) | 12 (24%) | 0.00 |
Between 1 to 6 hours | 33 (66%) | 21 (42%) | ||
More than 6 hours | 2 (4%) | 17 (34%) | ||
Vitamin D levels (nmol/L) | Low | 42 (84%) | 11 (22%) | <0.0001 |
Normal | 8 (16%) | 39 (78%) |
Association of vitamin D levels with initial site of hair loss and family history, chi-square test, 95% confidence interval, androgenetic alopecia (AGA)
Variables | Vitamin D levels (nmol/L) Reference range | p-value | |||
Deficiency | Insufficiency | Sufficiency | |||
Initial site of hair loss | Frontal | 6 (37.5%) | 8 (50%) | 2 (12.5%) | 0.175 |
Temporal | 3 (17.6%) | 9 (52.9%) | 5 (29.4%) | ||
Vertex | 9 (52.9%) | 7 (41.2%) | 1 (5.9%) | ||
Family history of AGA | No | 9 (34.6%) | 11 (42.3%) | 6 (23.1%) | 0.352 |
Yes | 9 (37.5%) | 13 (54.2%) | 2 (8.3%) |
Distribution of vitamin D levels across different grades of alopecia. (a) Androgenetic alopecia classification according to Hamilton-Norwood scale.
Comparison of age, BMI, and serum vitamin D levels between control and patient groups, unpaired t-test, 95% confidence interval
Variables | Controls | Patients | 95% CI | p-value | ||
Mean±SD | Minimum - Maximum | Mean±SD | Minimum - Maximum | |||
Age | 23.28±4.10 | 18–30 | 24.42±3.87 | 18–30 | −0.4437 to 2.724 | 0.1563 |
BMI | 22.89±2.80 | 18.3–30 | 24.68±3.18 | 17.8–35.4 | 0.6030 to 2.985 | 0.0035 |
Serum vitamin D levels (nmol/L) | 91.93±30.55 | 42.3–163.5 | 45.64±29.99 | 18–186 | −58.31 to −34.28 | <0.0001 |
ROC curve for serum vitamin D levels (nmol/L).
Correlation matrix of disease onset, duration, age, and vitamin D levels, Spearman’s rho test
Variables | Age at onset of disease | Duration of disease | Age |
Duration of disease | p=0.401, r=−0.12 | ||
95% CI: [−0.3937–0.1709] | |||
Age | p<0.001, r=0.96 | p=0.022, r=0.32 | |
95% CI: [0.7541–0.9172] | 95% CI: [0.03863–0.5562] | ||
Vitamin D levels (nmol/L) | p=0.012, r=0.35 | p<0.001, r=−0.55 | p=0.887, r=0.02 |
95% CI: [0.07113–0.5783] | 95% CI: [−0.7254 - −0.3188] | 95% CI: [−0.2672–0.3048] |
Comparison of vitamin D levels in androgenetic alopecia (AGA): a review of case-control studies
Author | Study design | Sample size Number of Patients | Population | Vitamin D levels in cases | Vitamin D levels in controls | p-value |
(a) Our study | CCS | 50 | Male | 45.64±29.99 nmol/L | 91.93±30.55 nmol/L | <0.0001 |
(b) Sanke S, et al.[4] | CCS | 50 | Male | 20.10±4.8 ng/mL | 29.34±5.6 ng/mL | <0.001 |
(c) Tahlawy SM, et al.[26] | CCS | 30 | Male | 37.1±11.9 ng/mL | 44.2±9.6 ng/mL | 0.01 |
(d) Saraç G, et al.[27] | CCS | 58 | Male and female | 12.2±8.3 ng/dL | 16.02±8.3 ng/dL | 0.01 |
(e) Zhao J, et al.[17] | CCS | 777 | Male | 50.00 nmol/L [48.90, 51.40] | 53.05 nmol/L [51.55, 54.60] | 0.0005 |
Over a billion children and adults worldwide suffer from vitamin D insufficiency and inadequacy, making it a global health concern.[
Our study included 50 male patients with androgenetic alopecia (AGA), with a mean disease duration of 27.64±17.836 months and an average age of onset at 22.02±3.645 years. Vitamin D deficiency was much more common in patients compared to the control group. Patients had significantly lower serum vitamin D levels (45.64±29.99 nmol/L) than controls (91.93±30.55 nmol/L), with p<0.0001. Among the patients, 36% were vitamin D deficient, 48% were insufficient, and 16% had sufficient levels. Notably, all participants with vitamin D deficiency were in the patient group. Across various case-control studies, including ours, a consistent trend of lower vitamin D levels in patients with AGA compared to controls is observed. Our study, involving 50 male patients, found significantly lower serum vitamin D levels in patients compared with the controls. Similarly, Sanke et al. reported lower levels in AGA patients (20.10±4.8 ng/mL) than in controls (29.34±5.6 ng/mL).[
Moreover, a significant negative correlation between vitamin D levels and BMI was observed, suggestin that obesity may influence vitamin D status. Since vitamin D is lipid-soluble, adipose tissue is believed to sequester it, reducing the amount available for physiological and metabolic processes. Wortsman et al. suggest that while obesity does not affect the skin’s ability to produce vitamin D3, it may hinder its release into circulation due to increased sequestration by subcutaneous fat.[
The severity of AGA is commonly assessed using the Hamilton-Norwood scale (HNS) in men[
Hair follicles are sensitive to hormones, including vitamin D, which is important for calcium metabolism, immune system regulation, and cell growth and differentiation.[
Our study provides novel insights into the relationship between vitamin D deficiency and premature AGA in young males, an underexplored demographic in this geographical region. The significantly higher rates of vitamin D deficiency in AGA patients, correlated with disease severity, suggest potential therapeutic implications. These findings underscore the need for increased vitamin D screening and supplementation as adjunct interventions to manage this condition.
Our study reveals a significant relationship between vitamin D insufficiency and early-onset AGA in young males. Patients exhibited lower serum vitamin D levels than healthy controls, with a high prevalence of vitamin D deficiency and insufficiency. We identified reduced sun exposure and higher BMI as potential risk factors. Future research directions include randomized controlled trials exploring vitamin D supplementation as a potential therapy and investigating genetic factors affecting vitamin D metabolism. These findings provide a foundation for understanding the pathophysiology of premature AGA in men and may lead to new treatment strategies.
This study presents several methodological strengths alongside notable limitations. The case-control design facilitated a detailed comparison of vitamin D levels between cases and controls, with the sample size providing adequate statistical power to detect significant differences. However, certain limitations warrant consideration. Firstly, the sample, while sufficient for our primary analyses, was relatively modest in size and sourced from a single center, potentially limiting the generalizability of our findings. Secondly, our analytical approach did not account for potential seasonal variations in vitamin D levels, which may have influenced inter-group comparisons. Lastly, the study’s scope did not extend to examining VDR expression or polymorphisms. These limitations underscore the need for more extensive, multi-center studies incorporating seasonal adjustments and molecular analyses.
Conceptualization: R.B. and S.K.; writing of initial drafts: R.B., H.A., S.M.A., M.S.H., and H.A.; review and editing: R.B., S.K., H.A., M.R.S., and H.F.; project supervision: R.B., S.K., and H.A.; data curation: R.B., H.A., and M.S.H.; software: M.R.S.; data analysis: R.B. and M.R.S.; resources: M.R.S., S.A.S., and H.F.; All authors approved the final manuscript before submission to the journal. All authors have contributed signifi cantly to this publication.
The authors have declared that no competing interests exist.
The authors have no funding to report.
The authors are grateful for the patients who so willingly gave their time and participated in this study.