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                <title><![CDATA[Reference interval of Serum 25-Hydroxyvitamin D of
adult Bangladeshi population]]></title>

                                    <author><![CDATA[Wasim Md Mohosin Ul Haque*]]></author>
                                    <author><![CDATA[Md Faruque Pathan]]></author>
                                    <author><![CDATA[M Abu Sayeed]]></author>
                
                <link data-url="https://imcjms.com/public/registration/journal_full_text/600">
    https://imcjms.com/public/registration/journal_full_text/600
</link>
                <pubDate>Mon, 04 May 2026 10:27:03 +0000</pubDate>
                <category><![CDATA[Original Article]]></category>
                <comments><![CDATA[January 2026; Vol. 20(1):006]]></comments>
                <description>Abstract
Background and
objectives:
Vitamin D deficiency is a significant public health concern globally including
Bangladesh. Currently, Bangladeshi population is being evaluated for
vitamin D status using reference interval derived from western studies. Reference
interval
derived from western populations may not reflect the actual status
of vitamin D status of Bangladeshi population due to differences in sun
exposure, ethnicity and dietary habits. Therefore, this study aimed to find out
the reference intervals and the
lower cutoff value of
serum 25-hydroxyvitamin D [25(OH)D] deficiency in healthy
Bangladeshi adult population.
Materials and methods: This cross-sectional
study was conducted involving two population groups. Group-1 comprised of
adequately sun exposed healthy coastal fishermen and Group-2 included healthy
urban dwellers. Group-1 represented an ideal population for assessing the
reference serum vitamin D level while Group-2 population was used to detect
the cut-off value of vitamin D deficiency level in adult Bangladeshi population. Chemiluminescent
microparticle immunoassay (CMIA) was used to estimate serum 25(OH) D. Serum
iPTH and other biochemical parameters were analysed by standard methods. The reference interval
of vitamin D was determined according to Clinical and Laboratory Standards
Institute (CLSI) Guidelines C28-A3. The lower cut-off value of vitamin D deficiency
level was
determined by detecting deflection point of parathyroid hormone (PTH) level
compared to serum 25(OH)D level. 
Results: Total
125 and 371 individuals were enrolled in Group 1 and Group 2 respectively. The
mean age of the Group-1 and 2 study populations were 37.98±11.61 and 44.19 ± 11.48
years respectively. The mean serum vitamin D levels of Group-1 and 2 study
population were 27.36±7.27 ng/ml (95% CI: 26.08, 28.65) and 21.53±15.98
ng/ml (95% CI: 19.9, 23.16) respectively. Serum reference
interval of vitamin D of healthy adults (Group-1) was found as 15.88 to 45.27
ng/ml. The cut-off value for vitamin D deficiency in Group-2 adult population
was 12.16 ng/ml (95% CI: 11.04, 13.28) as depicted by first upward deflection
of serum iPTH&amp;nbsp;when serum 25(OH)D level fell below 12.16 ng/ml.
Conclusion:
The findings suggest that current Western-based vitamin D reference intervals may
not be appropriate for the Bangladeshi population. The results of our study would help the
clinicians and policymakers in developing strategies to address vitamin D
deficiency in Bangladesh.January
2026; Vol. 20(1):006.&amp;nbsp; DOI: https://doi.org/10.55010/imcjms.20.006  
*Correspondence: Wasim Md Mohosin Ul Haque, Department
of Nephrology, Bangladesh
Institute of Research and Rehabilitation in Diabetes, Endocrine and Metabolic
Disorders, Dhaka, Bangladesh. E-mail: wmmhaque@live.com.
© 2026 The
Author(s). This is an open access article distributed under the terms of the Creative Commons
Attribution License(CC BY 4.0).
&amp;nbsp;
Introduction
Vitamin D, a crucial
fat-soluble vitamin, plays a vital role in various physiological functions,
including calcium and phosphorus homeostasis, immune function, and cell growth
modulation [1-4]. Consequently, its deficiency can lead to a range of diseases and
disabilities [3,5,6]. Despite Bangladesh’s favourable geographical location and
climatic condition, the prevalence of vitamin D deficiency remains high even
among seemingly healthy individuals [7,8].
Current reference
intervals for vitamin D are predominantly derived from studies conducted in
Western populations and may not accurately reflect the physiological needs or
health outcomes of diverse global populations [9,10]. Variations in genetics,
skin pigmentation, dietary habits, and sun exposure significantly impact
vitamin D levels, rendering universal reference intervals potentially
inappropriate for many non-Western populations. Genetic polymorphisms affecting
vitamin D metabolism and receptor activity vary among ethnic groups, leading to
different optimal levels of serum 25-hydroxyvitamin D required for health
[11,12]. Consequently, a one-size-fits-all approach can result in incorrect
diagnoses, unnecessary supplementation, potential toxicity, or under-treatment
and persistence of deficiency-related health issues. Therefore, establishing a
vitamin D reference interval specific to Bangladeshi population is crucial for
accurate diagnosis and effective management of vitamin D deficiency. This study
aimed to establish the reference interval of serum 25-hydroxyvitamin D levels
of the adult population of Bangladesh by examining two distinct groups:
adequately sun-exposed healthy coastal fishermen and urban individuals with
limited sun exposure. Also, the study determined the lower cut-off
value of vitamin D deficiency level in Bangladeshi adults by detecting the
deflection point of serum
intact parathyroid hormone (iPTH) level compared to serum 25(OH)D level. Vitamin D
deficiency physiologically induces increased synthesis/production of
parathyroid hormone.
&amp;nbsp;
Materials and methods
The
study was conducted from January 1, 2017, to December 31, 2021 on adult
population living in two geographical locations of Bangladesh. Cross-sectional
study design was employed to assess the vitamin D levels in study participants.
Study
site and population: The study was conducted in two geographical
locations: Cox’s Bazar, a coastal district, about 298 km south of Dhaka city
along the coast of Bay of Bengal with abundant sunlight; and capital city
Dhaka, characterized by limited sun exposure of its inhabitants due to
urbanization. Group-1 consisted of healthy adult coastal fishermen aged 18
years and above from Cox’s Bazar, who were regularly
and adequately exposed to sunlight and consumed marine fish, a rich source of
vitamin D. Adequate sun exposure was defined as exposure to direct sunlight at
least for 30 minutes, between 11 am and 2 pm, three times a week [13]. Group-1
individuals (coastal fishermen) were considered as reference population for
determining the serum vitamin D reference interval of adult healthy Bangladeshi
population. Group-2 comprised of ostensibly healthy urban residents from
Dhaka, aged 18 years and above, with limited sun exposure due to lifestyle and environmental factors.
Exclusion criteria: Any individual who refused to
participate in the study or who were physically and psychologically
handicapped, had known acute or chronic illnesses like diabetes mellitus,
hypertension, liver disease or gastrointestinal disorders, kidney disease,
malignancy, metabolic bone disease, primary hyperparathyroidism or lactose
intolerance were excluded. Anyone with relevant biochemical abnormalities and
on anti-epileptic drugs was also excluded. For Group-1,
any one who was consuming either vitamin D or
calcium-containing products or who had ever consumed such drugs in the past was
excluded.
Sampling
technique and sample size: Convenience sampling was used to select
participants from both groups. The sample size was determined based on the
desired confidence limits and the variability in vitamin D levels observed in
preliminary studies. 
Data
collection tools and procedures: Socio-demographic and
clinical data were collected using structured questionnaires. Height, weight
and blood pressure were measured. Blood samples were collected for estimation
of serum 25(OH)D, iPTH levels and relevant biochemical parameters. 
Collection
of blood and biochemical investigations: About 10 ml of venous
blood was collected aseptically from each participant after counselling and
thorough clinical evaluation. Serum was separated immediately and was preserved
at -600C for biochemical analysis. Chemiluminescent micro-particle
immunoassay (CMIA) was used to estimate serum 25(OH)D level by Architect
analyser [14]. Based on the Endocrine Society guideline [9] (9), vitamin D
level was categorised as: adequate/ normal range: 75-100 nmol/L (30-40ng/ml),
insufficient: 50 – 74.9 nmol/L (20ng/ml-29.99ng/ml) and deficient: &amp;lt;50
nmol/L (&amp;lt;20ng/ml). Samples were tested for random blood glucose (RBG), serum
creatinine, calcium, phosphate (PO4), albumin, alkaline phosphatase and iPTH by
Architect autoanalyser at the biochemistry laboratory of BIRDEM.
Statistical
analyses: Statistical analyses were conducted using descriptive and
inferential methods to summarize the data and assess factors influencing
vitamin D levels. Chi-square tests, correlation analyses, and regression models
were employed to explore these relationships. MedCalc version 14 statistical
software was utilized to calculate reference intervals (95%, double-sided)
following parametric, non-parametric, and robust methods as outlined in the
CLSI C28-A3 guideline [15]. A 90% confidence
interval (CI) was used for these reference intervals, applying the appropriate
statistical techniques.
To determine the lower
cut-off value of vitamin D deficiency, the deflection point of intact
parathyroid hormone (iPTH) levels was identified using a non-linear model.
Piecewise linear regression, applied through the Python plugin, was used to fit
two separate lines before and after the deflection point (or “break” point),
where the relationship between vitamin D and PTH shifts.
The equation used in this case represented as
follows:

 
  
  y= {
  
  
  k1​⋅x+y0​−k1​⋅x0
  
  
  for&amp;nbsp;x</description>

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