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        <title>IMC Journal of Medical Science</title>
        <link>https://admin.imcjms.com/ </link>
        <description>Ibrahim Medical College Journal of Medical Science</description>

                        <item>
                    <title><![CDATA[Reference interval of Serum 25-Hydroxyvitamin D of
adult Bangladeshi population]]></title>
                    <author>Wasim Md Mohosin Ul Haque*</author><author>Md Faruque Pathan</author><author>M Abu Sayeed</author>                    <link> https://admin.imcjms.com/registration/journal_full_text/600 </link>
                    <pubDate>2026-05-04 10:27:03</pubDate>
                    <category>Original Article</category>
                    <comments>January 2026; Vol. 20(1):006</comments>
                    <description>
                        <![CDATA[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 were 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 occured 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.  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).
 
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.
 
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: <50
nmol/L (<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 x<x0
  
 
 
  
  ​k2​⋅x+y0​−k2​⋅x0
  
  
  for x≥x0​​
  
 

In this model:
l    x =Vitamin D level (independent variable).
l    y = PTH level (dependent variable).
l    x0​ = deflection point where the
two lines meet.
l    y0 =i PTH level at the deflection
point.
l    k1 = slope of the line before the
deflection point (for x<x0​).
l    K2​= slope of the line after the
deflection point (for x≥x0).
The steps for
calculating the deflection point included:
1.   Initial estimation: A starting guess for x0
is made based on visual inspection or prior knowledge.
2.   Curve fitting: The SciPy curve fit function
optimizes x0, y0​, k1and k2 by
minimizing the difference between the model and observed data.
3.   Confidence intervals: Standard errors are
used to calculate 95% confidence intervals for the estimates.
This approach
effectively identified the point where the relationship between vitamin D and
iPTH levels changes.
Ethical Consideration: The protocol was approved by the Ethics Review Committee (ERC) of the
Centre for Higher Studies and Research, Bangladesh University of Professionals and
Diabetic Association of Bangladesh. Written informed consent was obtained from
each participant prior to enrolment in the study and collection of blood sample. Participants had the
right to withdraw from the study at any time.
 
Result
Group-1 and Group-2
consisted of 125 coastal fishermen and 371 urban residents respectively. Out of
371 Group 2 participants, 47.2% were male and 52.8% were females. The mean age
of Group-1 and 2 study population was 37.98 ± 11.61 and 44.19 ± 11.48 years respectively. Mean
BMI of both groups was not significantly (p> 0.05) different (22.22 ± 3.15 kg/m² and 26.28 ± 3.72kg/m²). Detail socio-demographic
and anthropometric characteristics of Group-1 and 2 study populations are shown
in Table-1. All the biochemical parameters of Group-1 study populations were
within normal ranges (Table-2).
 
Table-1:
Socio-demographic and anthropometric
parameters of Group-1 (n=125) and Group-2 (n=371) study population
 
 
Table-2: Biochemical
parameters of Group-1 study population (n=125)
 
 
The mean serum vitamin D level of Group-1 study population was
27.36±7.27 ng/ml, (95% CI: 26.08, 28.65). No significant difference (F = 0.506, p
= 0.679) and correlation (r = -0.05511, p =
0.5416, 95% CI: -0.2285, 0.1217) were found in vitamin D levels amongst
different age groups. However, there was a significant difference among BMI
groups (F = 3.377, p = .037). Post-hoc testing using Bonferroni correction
revealed that individuals with the highest BMI (25-29.9 kg/m²) had
significantly (p = 0.037) lower serum 25(OH)D levels compared to those with the
lowest BMI (<18.5 kg/m²), with a mean difference of -6.82 ng/ml. However, No
significant differences of vitamin D levels were observed between other BMI
groups (Table-3).
 
Table-3: Age
and BMI-specific serum Vitamin D levels of Group-1 study population (n=125)
 
 
Based on the Endocrine Society cut-off value [9],
out of total 125 participants, 39 (31.2%), 63 (50.4%) and
23 (18.4%) participants had
adequate (≥30 ng/ml), insufficient (21-29.9 ng/ml) and deficient ((<20
ng/ml)) levels of vitamin D respectively (Table-4). There
was no significant difference in serum iPTH level and other relevant
biochemical parameters amongst these three vitamin D status groups
(Table-5). Also, overall no
significant correlation was observed between serum 25(OH)D level and serum iPTH
or other relevant biochemical parameters of the total Group-1 study population
(Table-6).
 
Table-4: Serum Vitamin D status of the Group-1 (coastal fishermen) study population
based on the Endocrine Society cut-off value [9] (9)
 
 
Table-5: Levels
of serum iPTH and other relevant biochemical markers related to vitamin D
status of Groups-1 study population (n=125)
 
 
Table-6: Correlation
between serum 25(OH)D levels and relevant biochemical
parameters of Group-1 study population
 
 
The reference interval for serum vitamin D levels of our Group-1
reference population (coastal fishermen) was calculated in accordance with the
CLSI Guidelines C28-A3 [15] using a 90% confidence interval (CI). The calculated reference interval of serum vitamin D value
by parametric, non-parametric and robust methods were 15.78-44.29,
15.88-45.27 and 15.69-44.68 ng/ml, respectively. Detail is shown in Table-7. Figure-1
displays the 95% reference interval for vitamin D, visually representing the
ranges defined by the aforementioned methods, ensuring a comprehensive understanding
of the expected vitamin D levels within this population group.
This structured approach enhances the reliability of the reference
intervals, providing a solid foundation for further comparative analyses within
the study.
 
Table-7: Reference interval of vitamin D levels calculated by different methods using serum 25(OH)D level of Group-1 study population
 
 
 
 
Figure-1: Reference interval of vitamin D. (95%
Reference interval, Double-sided)
 
In the second part of the study, Group 2 population, consisting of 371 adult urban residents, was used
to determine the lower
cutoff value for serum 25-hydroxyvitamin D [25(OH)D] deficiency levels in
healthy Bangladeshi adult population. Urban residents,
exhibited a mean serum vitamin D level of 21.53±15.98 ng/ml (95% CI: 19.90, 23.16),
with a median level of 17.18 ng/ml, ranging from 3.48 to 147.32 ng/ml.
Parametric tests showed no significant differences in vitamin D levels between
males and females (male: 20.16±16.18 ng/ml and females: 22.76±15.74 ng/ml (p
> .05, 95% CI: -5.86, 0.66). However, nonparametric tests indicated
significantly higher levels in females (p = .008). An analysis of age-related
trends revealed that older age groups in the urban population exhibited
significantly higher mean serum vitamin D levels, demonstrating a clear
positive correlation with age (r = .174, p = .001, 95% CI: 0.073, 0.271). The
distribution of vitamin D levels across different age groups and BMI categories
is detailed in Table-8. Despite these age-related variations, no significant
differences were found in vitamin D levels across different BMI categories (F =
0.173, p > .05).
 
Table-8: Age and BMI-specific Serum Vitamin D Levels
of Group-2 Study Population (n=371)
 
 
According to the Endocrine Society cut-off value [9],
83.6% of the urban population had below-normal (inadequate) vitamin D levels. However, using
the fishermen's reference intervals established in the first phase of this
study, only 44.2% of the urban population were found to have below-normal
vitamin D levels (Table-9). This discrepancy highlights that nearly half
of the urban residents categorized as vitamin D deficient by conventional
standards might actually fall within an adequate range when using our
fishermen's reference intervals. The mean
serum vitamin D level was significantly (p < .001) lower in the urban group
(21.53±15.98 ng/ml) compared to fishermen (27.36±7.27 ng/ml).
 
Table-9: Vitamin D status of the urban people based
on the Endocrine society cut-off value and fishermen's reference interval
 
 
The
average serum intact parathyroid hormone (iPTH) level of Group-2 urban
population was 62.80 ±31.67 pg/ml, ranging widely from 10.20 to 227.54 pg/ml,
with a median value of 56.4 pg/ml. A significant negative correlation was
observed between serum vitamin D and iPTH levels, evidenced by a correlation
coefficient (r) of -0.233, indicating that iPTH levels generally rise as
vitamin D levels fall. This relationship was statistically significant, with a
p-value less than .001 and a 95% confidence interval ranging from -0.3273 to
-0.1347. The analysis of iPTH levels across different vitamin D status
segments, as defined by the Endocrine Society, is shown in Table-10.
 
Table-10: Mean PTH level in
different vitamin D segments based on Endocrine society
cut-off value
 
 
These findings suggest a nonlinear relationship between vitamin D and
iPTH, where iPTH levels decrease as vitamin D increases, with notable
differences in mean iPTH levels across vitamin D segments (F=5.55, p=.001;Figure-2).
The
LOWESS (locally weighted scatter plot smoothing) method was employed to
illustrate the relationship between iPTH and 25(OH)D.
It depicts the dynamic relation between iPTH and 25(OH)D levels. The
scatterplot highlights a deflection point in the relationship, initially
estimated at 12.5 ng/ml, and refined to 12.16 ng/ml (95% CI: 11.04, 13.28)
through piecewise linear regression. This deflection point marks a new lower
cut-off for optimal serum vitamin D levels based on physiological responses
observed in iPTH.
 
 
Figure-2: The scatterplot with
LOESS fitting (50%) illustrates the relationship between vitamin D and PTH,
with vitamin D (ng/ml) on the x-axis and serum iPTH (pg/ml) on the y-axis. The
vertical line indicates the PTH deflection point using the raw data.
 
Discussion
Presently, reference
intervals used to assess the vitamin D status of Bangladeshi population, and
many other similar non-Western populations, are predominantly derived from
studies conducted in Western populations and therefore, may not accurately
reflect the physiological needs or health outcomes of these diverse population
[9,10]. Variations in genetics, skin colour, dietary habits, and sun exposure
significantly impact vitamin D levels, rendering universal reference intervals
potentially inappropriate for Bangladeshi as well as many non-Western
populations. Therefore, in the present study was conducted to establish a reference
interval for serum 25-hydroxyvitamin D of adult Bangladeshi population using a
defined reference population groups. The result of this study is expected to
prevent over estimation of low vitamin D status among our local population.
In
our study, coastal fishermen group constituted the reference population for
vitamin D estimation. The coastal environment, with its pollution-free air,
excellent sun exposure, and consumption of marine fish, ensured vitamin D
adequacy for our reference group. Prior studies, such as the 1958 birth cohort
study in Scotland, have also linked coastal climates with higher levels of
25(OH)D due to increased sun exposure [16]. In our study, only male participants
were enrolled in Group-1 to ensure adequate sun exposure. Though this might be considered
as a limitation, other studies indicate no significant gender-specific
differences in vitamin D levels [8,17].
Overweight
subjects were excluded from our Group-1, yet consistent with findings of other
studies previous studies, a significant negative correlation between vitamin D
and BMI was observed [18-21]. Studies consistently show an inverse relationship
between BMI and vitamin D levels, highlighting the impact of body weight on
vitamin D status [22-24]. The lack of correlation between age and serum vitamin
D levels in Group-1 suggests the overall good health of the study population.
This might obscure the typical association between lower vitamin D levels and older
age, often attributed to reduced outdoor activity and impaired kidney function
in older adults [25]. 
In
the present study, health status of the Group-2 participants was not strictly
controlled. Only those with acute illnesses were excluded. This approach aligns
with other studies examining the correlation between iPTH and vitamin D, which
often include people with a broader range of health statuses [26-32].
In
the present study, irrespective of the adequacy of sun exposure, most
participants in both the fishermen and urban groups had low vitamin D levels,
with means of 27.36±7.27 ng/ml and 21.53±15.98 ng/ml, respectively. This high
prevalence of vitamin D inadequacy aligns with recent studies reporting
widespread vitamin D insufficiency or deficiency in Bangladesh [8,33-39]. For
instance, Mahmood et al. (2017) found that 100% of garment workers and 97% of
agricultural and construction workers had low vitamin D levels. Garment
workers, in particular, are at high risk due to limited sun exposure and poor
nutritional status [40].
Within
urban participants, hospital staff had lower vitamin D levels and a higher
prevalence of inadequacy compared to healthy volunteers. This finding is
supported by multiple studies indicating a high prevalence of vitamin D inadequacy
among health personnel [41-46]. The positive correlation between vitamin D and
age in the urban population may be explained by higher supplement use among
older individuals [43,47,48]. Vitamin D supplementation, as shown in various
studies, significantly increases serum 25(OH)D levels [43,49].
Higher
vitamin D levels in our reference population (coastal fishermen) compared to
urban dwellers underscores the importance of sunlight exposure. Similar
studies, such as those by Lee et al. [50] and Haddad and Chyu [51], also
reported higher vitamin D levels in individuals with significant sun exposure.
Despite this, according to the Endocrine Society's cut-off, around 70% of
coastal fishermen in this study had low vitamin D levels, raising questions about
the validity of the use of current threshold values. Previous studies in
heavily sun-exposed regions in India, report similar findings of low vitamin D
levels despite abundant sun exposure [52,53]. Thus, the reference intervals for
vitamin D determined in this study using healthy coastal fishermen as reference
population represent the optimal levels for the Bangladeshi population. This
conclusion is based on the nature of the studied group and the limitations of
previous definitions of "optimal" vitamin D status.
In
this study, a reference interval of 15.88 ng/mL (90% CI: 14.26–16.92) to 45.27
ng/mL (90% CI: 41.11–51.85) was determined using non-parametric methods
aligning with the Clinical and Laboratory Standards Institute (CLSI) Guidelines
[54]. The non-parametric approach is appropriate given the asymmetry of the
data, providing a robust understanding of the distribution in the fishermen
population. The upper limit of 45.27 ng/mL aligns with the commonly accepted
upper limit proposed by the Endocrine Society, suggesting the upper threshold
of vitamin D status is consistent across various populations.
However,
the lower limit of 15.88 ng/mL stands below the traditionally accepted
threshold levels of 20-30 ng/mL. Other studies also proposed lower cut-off
values for vitamin D sufficiency. Studies from South Korea [50], India [30],
China [28], and Greece [29] have consistently shown lower thresholds of 13-20
ng/mL. The range in this study is also closer to those findings, implying that
vitamin D requirements are influenced by both environmental and genetic
factors, and that a universal cut-off point may not be applicable globally.
Moreover,
iPTH dynamics provide additional support for our observed lower thresholds of
vitamin D. Vitamin D inadequacy is often marked by increased iPTH levels, which
serve as a surrogate marker for deficiency. However, in this study, no
significant correlation between vitamin D and iPTH levels was found in the
coastal fishermen group, unlike in the urban population, where a deflection
point in iPTH occurred at levels far below the Endocrine Society’s recommended
level of 30 ng/mL. Studies involving other population have noted
similar findings: iPTH rises as vitamin D level drops below 8 - 21.1ng/mL [26, 28
-30, 32, 55-58]. Recently, a study involving seven non-identical
occupational groups, also reported significant increase in iPTH when vitamin D
level dropped below <11.8ng/ml [59]. These studies suggest that a threshold
for iPTH deflection, and thus vitamin D sufficiency, may indeed be lower than
previously thought. The absence of iPTH deflection in our coastal fishermen is
indicative of overall vitamin D adequacy in this population. 
Additional
support in favour of our low reference interval and lower cut-off values for
vitamin D sufficiency comes from recent randomized controlled trials (RCTs) and
cohort studies like VITAL and ViDA [60-62]. Post hoc analyses from trials like
VITAL and ViDA revealed that vitamin D supplementation benefited participants
only when baseline levels were below 12-15 ng/mL [60-62]. Also, Martineau et
al. (2017) noted that vitamin D supplementation was most effective in
preventing respiratory infections in participants with baseline levels below 10
ng/mL [63]. These findings argue against higher supplementation thresholds and
support a more moderate cut-off for deficiency. Furthermore, based on
epidemiological evidence, Manson et al. and the Institute of Medicine (IOM),
support a deficiency threshold closer to 12.5 ng/mL[62,64] Studies on pregnancy
and diabetes prevention also point toward 15 ng/mL as a sufficient level of
vitamin D for avoiding adverse outcomes [31,65].
In
view of the above, it is concluded that the reference interval identified in
the current study (15.88–45.27 ng/mL) truly reflects the optimal range of
vitamin D level for the adult Bangladeshi population. The high sun exposure in
coastal fishermen makes this population an ideal reference group, better
reflecting the biological requirements of individuals in sun-rich environments
like Bangladesh. Moreover, the lower limit of this range is consistent with
thresholds suggested by contemporary studies that challenge higher vitamin D
cut-off points. Thus, considering the iPTH dynamics and recent trial data, the present
study provides a more region-specific, evidence-backed approach regarding
optimal vitamin D levels.
The strength of our study lies in the fat that the study used a defined
population as ‘reference population’ with supposedly adequate vitamin D levels.
Also, reference intervals were determined following the Clinical and Laboratory
Standards Institute (CLSI) Guidelines C28-A3 for precise comparison across
populations, and the lower cutoff value was identified using the iPTH deflection
point. However, the study did not employ strict random sampling and gold-standard
LC-MS/MS vitamin D assay.
 
Conclusion 
This
study's findings on healthy coastal fishermen provide critical insights into
the optimal serum vitamin D levels for adult Bangladeshi population.
Additionally, the study has defined the lower normal limit of vitamin D
sufficiency by determining the iPTH deflection point, suggesting a lower
optimal range than currently used. Thus, the findings of the present study
would help in guiding clinicians and policymakers in developing appropriate
treatment and supplementation guidelines for Bangladeshi population.
 
Acknowledgement
Authors
gratefully acknowledge the support of Bangladesh Institute of Research and
Rehabilitation for Diabetes Endocrine and Metabolic Disorders and The Centre for Higher Studies and
Research, Bangladesh University of Professionals. We are thankful to Professor Jalaluddin Ashraful Haq for his suggestions and support
in carrying out the project.
 
Authors’ Contributions
WMMUH was the primary
researcher, and mainly involved in data collection, analysis, and drafting of
the manuscript. MFP, MAS and JAH, contributed equally to the conception,
design, interpretation of the data, and critical revision of the manuscript.
 
Conflict of interest
The authors declare that
they have no conflict of interest.
 
Funding
The research received
funding from the Bangladesh Medical Research Council (BMRC)
 
Preprint statement 
The article was published as preprint under the title “Reference
interval of optimal vitamin D level for an adult population of Bangladesh” in
medRxiv. doi: https://doi.org/10.1101/2024.11.07.24316898.
 
Data Availability
Statement
The dataset of this study is available in the Zenodo repository, DOI: 10.5281/zenodo.13950605. Additional
materials, such as the technical appendix and statistical code, can also be
accessed at this DOI.
 
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Cite this article as:
Haque WMM, Pathan MF, Sayeed MA. Reference
interval of Serum 25-Hydroxyvitamin D of adult
Bangladeshi population. IMC J Med Sci. 2026; 20(1):006. DOI: https://doi.org/10.55010/imcjms.20.006.]]>
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