Literature DB >> 28088200

Vitamin D status among the elderly Chinese population: a cross-sectional analysis of the 2010-2013 China national nutrition and health survey (CNNHS).

Jing Chen1, Chunfeng Yun2, Yuna He3, Jianhua Piao1, Lichen Yang1, Xiaoguang Yang4.   

Abstract

BACKGROUND: Vitamin D inadequacy is common among the elderly, especially within the Asian population. The vitamin D status among healthy adults in the elderly Chinese population was evaluated.
METHODS: A total of 6014 healthy adults aged 60 years or older (2948 men, 3066 women) participated in this descriptive cross-sectional analysis. Possible predictors of vitamin D inadequacy were evaluated via multiple logistic regression analyses.
RESULTS: The median serum 25-hydroxyvitamin D (25(OH)D) levels were 61.0 nmol/l (interquartile range (IQR) 44.3-80.6, range 5.1-154.5) for men and 53.7 nmol/l (IQR 38.8-71.0, range 6.0-190.0) for women, with 34.1% (95% confidence interval (CI) 32.4-35.8) of men and 44.0% (95% CI 42.2-45.8) of women presenting vitamin D inadequacy (25(OH)D <50 nmol/l). According to the multivariate logistic regression analyses, vitamin D inadequacy was positively correlated with female gender (P <0.0001), underweight (P = 0.0259), the spring season (P <0.0001), low ambient UVB levels (P <0.0001) and living in large cities (P = 0.0026). For men, vitamin D inadequacy was positively correlated with the spring season (P = 0.0015), low ambient UVB levels (P <0.0001) and living in large cities (P = 0.0022); for women, vitamin D inadequacy was positively correlated with the spring season (P = 0.0005) and low ambient UVB levels (P <.0001).
CONCLUSIONS: Vitamin D inadequacy is prevalent among the elderly population in China. Because residing in regions with low ambient UVB levels increases the risk of vitamin D inadequacy both for men and women, vitamin D supplementation and sensible sun exposure should be encouraged, especially during the cooler seasons. Further studies are required to determine the optimal vitamin D intake and sun exposure levels to maintain sufficient vitamin D levels in the elderly Chinese population.

Entities:  

Keywords:  China; Elderly population; Environment; Risk factors; Vitamin D

Mesh:

Substances:

Year:  2017        PMID: 28088200      PMCID: PMC5237548          DOI: 10.1186/s12937-016-0224-3

Source DB:  PubMed          Journal:  Nutr J        ISSN: 1475-2891            Impact factor:   3.271


Background

Vitamin D status is related to many types of health outcomes among the elderly population and can contribute to musculoskeletal complications (including proximal myopathy, bone and muscle pain, secondary hyperparathyroidism, osteoporosis, and osteomalacia) [1], chronic diseases (cancer and cardiovascular diseases) [2], autoimmune diseases (systemic lupus erythematosus, multiple sclerosis, scleroderma or systemic sclerosis, autoimmune thyroid diseases, rheumatoid arthritis and primary biliary cirrhosis) [3, 4], and psychotic disorders (depression, self-neglect and cognitive impairment) [5-7]. All these diseases can cause disability among the elderly. Compared to individuals with sufficient vitamin D levels, older women with vitamin D deficiency were significantly older, heavier, and less physically active; furthermore, these women presented with more comorbidities [8]. A healthy vitamin D status in an elderly individual is important to avoid disability. Because the percentage of people in China aged 60 years and older is expected to reach 36.5% by 2050 and 39.6% by 2100 [9], the health of the elderly Chinese population is receiving increasing levels of attention. The primary source of vitamin D for most human populations is sunlight exposure between approximately 9:00 and 15:00 h (local solar time) during the spring, summer and autumn seasons [10]. At more extreme latitudes, the solar elevation angles and ambient UVB levels are always low; thus, the UVB exposure periods required to produce an ideal quantity of vitamin D are sometimes impractical, especially during the cooler seasons. Vitamin D requirements are thought to vary with age, yet all age groups have been shown to exhibit a high prevalence of 25-hydroxyvitamin D (25(OH)D) insufficiency and secondary hyperparathyroidism [11]. The elderly population requires more vitamin D to produce the increased 25(OH)D concentrations necessary to overcome the hyperparathyroidism associated with their diminishing renal function [11]. Currently, vitamin D deficiency among the elderly population constitutes a widespread and urgent public health issue that must be remedied. In the present study, the prevalence of vitamin D deficiency and insufficiency in a nationally representative sample of the Chinese population over 60 years old was evaluated. The primary risk factors of inadequate vitamin D levels among the elderly Chinese population was predicted based on age, gender, BMI, ambient UVB levels in the residential regions, vitamin D supplementation levels and hypertension. National vitamin D data are instrumental to the development of appropriate health monitoring of the elderly Chinese population, and the Chinese Center for Disease Control and Prevention could use these data to identify at-risk groups and provide advice regarding the use of vitamin D supplements.

Methods

Study design

Data for the present analysis were extracted from the China National Nutrition and Health Survey (CNNHS), 2010–2013. This survey was a nationally representative cross-sectional study conducted by the Chinese Center for Disease Control and Prevention to assess the health and nutrition of Chinese civilians. The survey randomly selected 150 districts (urban) or counties (rural) within all thirty-one provinces, autonomous regions and municipalities directly under the central Chinese government (except Taiwan, Hong Kong and Macao). The country was divided into four strata according to socioeconomic characteristics: large cities, small to medium cities, general rural areas and poor rural areas.

Participants and setting

This study used a stratified multistage probability sampling design and aimed to randomly survey approximately 40 people (20 men, 20 women) aged 60 years or older in each district or county. Participants who did not have adequate serum samples for 25(OH)D measurement and individuals with a history of either kidney disease or chronic liver disease were excluded. Finally, 2948 men and 3066 women were enrolled in the study. Serum samples were collected from the participants between June 2013 and March 2014, and the body mass index (BMI) was calculated as the weight (in kg) divided by the height (in m) squared. According to the Chinese definitions, underweight, overweight and obesity were defined using the BMI cut-off points of 18.5, 24 and 28 kg/m2, respectively [12].

Data collection

Demographic data (age, ethnicity) and data on vitamin D supplement use and educational level were collected based on self-reports. After 5 min of rest in a seated position, blood pressure levels were measured twice from the right arm of each participant; the mean of the two measurements was used for analysis. Hypertension was defined as two separate blood pressure measurements >140/90 mmHg at least 6 h apart [13]. On the day after the participants provided written informed consent, blood samples were collected in the morning after a fasting period of 10–12 h and centrifuged within 0.5–1 h following collection. Serum samples were then aliquoted and stored at —80 °C until further analysis.

Measurement of serum 25-hydroxyvitamin D

Serum 25(OH)D levels were quantified by using 25-Hydroxyvitamin D radioimmunoassay kits (DiaSorin-RIA; DiaSorin Inc., Stillwater, MN) on a GC-2016 gamma counter (ANHUI UCTC ZONKIA SCIENTIFIC INSTRUMENTS CO. LTD, Anhui, China). The interassay coefficients of variation (CVs) were 3.8 and 3.5% at 24.8 and 57.5 nmol/l, respectively. The DiaSorin-RIA method used in this study was in acceptable agreement with an LC-MS/MS method that has been accepted by the College of American Pathologists (CAP) as a proficient test to assess vitamin D deficiency and insufficiency [14]. In our study, participants with a serum 25(OH)D concentration lower than 30 nmol/l were stratified as vitamin D deficient; those with a concentration between 30 and 50 nmol/l as vitamin D insufficient; and those with a concentration above 50 nmol/l as vitamin D sufficient [15]. Both vitamin D deficiency and vitamin D insufficiency were grouped together as vitamin D inadequacy (25(OH)D less than 50 nmol/l).

Ambient UVB measurements

The ambient UV radiation exposure levels for each participant was estimated using the Chinese administrative division codes of each participant’s current residential address. Latitudinal and longitudinal coordinates were obtained for each code and matched against available UVB data available from a 1° latitude × 1° longitude grid of readings of a total ozone mapping spectrometer (TOMS) mounted on the Nimbus-7 satellite; the UVB data were obtained from an archived database at the NASA Goddard Space Flight Center. This database was used to estimate the average erythemally weighted UVB dose (J/m2) reaching the Earth at each location between June 2013 and March 2014. The HDFtool in MATLAB 7.11.0 (R2010b) was utilized to extract relevant information from the database, and the annual average ambient UVB levels for the entire cohort were classified into tertiles.

Statistical analysis

The participants were divided into sub-classes according to a number of hypothesized predictors for vitamin D status: regional stratum, ambient UVB level at the place of residence, season (spring, March to May; summer, June to August; autumn, September to November; and winter, December to February), age, BMI, vitamin D supplement usage, and hypertension. The Kolmogorov-Smirnov test was used to analyse the normality of each sub-class, and the results indicated that most sub-classes did not follow a normal distribution. Therefore, a Kruskal-Wallis test followed by a Mann-Whitney U test was conducted to examine the relationships between vitamin D levels and the hypothesized predictors. To investigate the relationship between vitamin D inadequacy and several possible predictors (e.g., age, BMI, ambient UVB level at area of residence, vitamin D supplement use, hypertension), a multinomial logistic regression analysis was performed. The statistical software package SAS version 9.2 was used for data analysis. The primary analysis was descriptive and includes the 95% confidence interval (CI). Using two-sided tests, the significance level was set at P <0.05.

Results

As a part of the CNNHS in 2010–2013, the serum 25(OH)D levels of 6014 healthy individuals over 60 years old (man 2948, women 3066) were analysed. The median ages were 67.5 years (interquartile range (IQR) 63.2–73.2, range 60.0–100.2) for men and 66.8 years (IQR 63.0–72.5, range 60.0–98.2) for women. Among elderly men, the median BMI level was 23.2 kg/m2 (IQR 20.3–25.8, range 12.3–44.8) with 14.0% of the participants underweight (BMI <18.5 kg/m2), 29.5% overweight (BMI = 24–28 kg/m2) and 12.3% obese (BMI> 28 kg/m2). Among elderly women, the median BMI level was 23.3 kg/m2 (IQR 20.5–25.9, range 11.4–38.9) with 13.5% of the participants underweight (BMI <18.5 kg/m2), 32.5% overweight (BMI = 24–28 kg/m2) and 11.8% obese (BMI> 28 kg/m2). In addition, 29.4% of the elderly men and 29.9% of the elderly women were classified as hypertensive. In total, only 0.3% of the elderly men and 0.3% of the elderly women reported using vitamin D supplements. The baseline characteristics and 25(OH)D values of all the participants are presented in Table 1.
Table 1

Demographic characteristics of the elderly Chinese study participants

MenWomen
n25(OH)D (nmol/l)Percentage with 25(OH)D levels P valuen25(OH)D (nmol/l)Percentage with 25(OH)D levels P value
meanSD<30 nmol/l30–50 nmol/l>50 nmol/lmeanSD<30 nmol/l30–50 nmol/l>50 nmol/l
Total294863.325.17.826.365.9306656.122.9123256
Age group0.70210.2938
60–69181863.925.17.525.567198756.423.111.232.756.1
70–7995162.5258.227.764.187855.422.413.730.256.2
80+17961.924.68.427.963.72015622.911.933.854.2
BMI (kg/m2)0.78260.3829
<18.541462.725.96.83063.339856.124.512.633.454
18.5–24.0130363.924.97.72567.3136356.923.111.431.457.2
24.0–28.087063.2258.225.466.495755.322.11331.555.6
>28.036162.224.98.629.162.33485521.810.934.554.6
Ethnicity0.0060.2212
Han nationality271963.7257.326.266.5281056.42311.831.656.6
Hui nationality1171.924.69.1090.92053.517.455045
Other nationality21857.82513.828.957.323652.220.714.43649.6
Regional strata<0.00010.0005
Large cities70158.2239.830.759.572455.322.110.137.652.3
Small to medium cities87565.626.56.625.967.488555.823.512.233.754.1
General rural areas85965.625.47.921.570.592457.223.614.226.859
Poor rural areas51362.423.86.82964.153355.621.310.330.858.9
Vitamin D supplementation0.82370.4676
No294063.325.17.826.365.9305756.122.9123256
Yes868.424.302575951.91411.133.355.6
Ambient UVB levels (J/m2)<0.0001<0.0001
Low95360.125.28.13457.996451.721.613.839.646.6
Medium95362.925.38.626.964.5104555.723.113.431.555.1
High104266.624.36.818.874.4105760.522.98.925.665.5
Hypertension0.55230.6414
No208163.9257.525.966.6215055.922.812.531.955.6
Yes86761.925.28.527.364.191656.622.910.732.357
Education level0.80440.0779
Illiteracy24861.224.99.32763.72545525.915.830.353.9
Literate270063.525.17.726.366.1281256.222.611.632.256.2
Season0.1786<0.0001
Spring12556.125.113.632.853.613249.118.916.740.243.2
Summer38264.123.96.324.968.83835921.87.328.264.5
Autumn194363.825.57.526.466.1204256.623.311.532.256.3
Winter49862.624.28.625.565.950953.722.416.132.251.7

Mann-Whitney U test was used for comparisons of different sub-groups

Demographic characteristics of the elderly Chinese study participants Mann-Whitney U test was used for comparisons of different sub-groups Among elderly men, the median serum 25(OH)D levels were 61.0 nmol/l (IQR 44.3–80.6, range 5.1–154.5), with an estimated 7.8% (95% CI 6.9–8.8) presenting vitamin D deficiency (25(OH)D <30 nmol/l) and 26.3% (95% CI 24.7–27.9) showing signs of vitamin D insufficiency (30 nmol/l ≤25(OH)D <50 nmol/l). Among elderly women, the median serum 25(OH)D levels were 53.7 nmol/l (IQR 38.8–71.0, range 6.0–190.0), with an estimated 12.0% (95% CI 10.8–13.2) presenting vitamin D deficiency (25(OH)D <30 nmol/l) and 32.0% (95% CI 30.4–33.7) showing signs of vitamin D insufficiency (30 nmol/l ≤25(OH)D <50 nmol/l). (Table 1) In the logistic regression analysis for all the participants (Table 2), the following factors were associated with vitamin D inadequacy (OR; 95% CI): gender (women: 1.544; 1.388–1.717; P <0.0001 relative to men), BMI (underweight: 1.238; 1.049–1.462; P = 0.0259 relative to normal weight); season (spring: 2.487; 1.849–3.346, P <0.0001 relative to summer); ambient UVB levels in region of residence (low: 2.233; 1.952–2.553; P <0 · 0001 relative to high) and regional strata (large cities: 1.287: 1.109–1.494; P = 0.0026 relative to general rural areas). According to a logistic regression analysis of men (Table 2), vitamin D inadequacy was associated with season (spring: 2.137; 1.398–3.268; P = 0.0015 relative to summer) ambient UVB levels at region of residence (low: 2.119; 1.743–2.575; P <0 · 0001 relative to high) and regional strata (large cities: 1.466; 1.179–1.823; P = 0.0022 relative to general rural areas). According to a logistic regression analysis of women (Table 2), vitamin D inadequacy was associated with season (spring: 2.858; 1.887–4.327; P = 0.0005 relative to summer) and ambient UVB levels at region of residence (low: 2.352; 1.954–2.832; P <.0001 relative to high).
Table 2

Associations of various lifestyle factors with vitamin D inadequacy among the elderly Chinese population

Total (n=6014)Men (n=2948)Women (n=3066)
OR (95% CI) P valueOR (95% CI) P valueOR (95% CI) P value
Gender
Menref
Women1.544 (1.388–1.717)<0.0001
Age group
60–69refrefref
70–791.066 (0.948–1.199)0.94051.126 (0.952–1.332)0.60011.01 (0.858–1.19)0.5367
80+1.149 (0.923–1.432)0.33341.132 (0.816–1.572)0.69471.159 (0.86–1.56)0.3447
BMI (kg/m2)
18.5–24.0refrefref
<18.51.238 (1.049–1.462)0.02591.261 (0.994–1.6)0.08571.225 (0.971–1.546)0.1284
24.0–28.01.005 (0.885–1.141)0.14510.974 (0.806–1.177)0.13291.031 (0.868–1.226)0.5529
>28.01.079 (0.904–1.289)0.97131.11 (0.86–1.433)0.77361.044 (0.815–1.336)0.7716
Season
Summerrefrefref
Spring2.487 (1.849–3.346)<0.00012.137 (1.398–3.268)0.00152.858 (1.887–4.327)0.0005
Autumn1.462 (1.235–1.731)0.22011.269 (0.996–1.618)0.34421.66 (1.313–2.098)0.4294
Winter1.591 (1.301–1.947)0.68091.245 (0.929–1.667)0.34911.977 (1.496–2.614)0.1581
Ambient UVB (J/m2)
Highrefrefref
Low2.233 (1.952–2.553)<0.00012.119 (1.743–2.575)<0.00012.352 (1.954–2.832)<0.0001
Medium1.646 (1.442–1.877)0.09391.665 (1.37–2.025)0.11111.625 (1.358–1.944)0.4636
Education level
Illiteracyrefrefref
Literate0.854 (0.704–1.036)0.10850.875 (0.661–1.158)0.35150.837 (0.641–1.094)0.1928
Region strata
General rural areasrefrefref
Large cities1.287 (1.109–1.494)0.00261.466 (1.179–1.823)0.00221.147 (0.935–1.408)0.2101
Small to medium cities1.136 (0.987–1.307)0.6641.093 (0.887–1.346)0.21451.18 (0.974–1.429)0.0716
Poor rural areas1.052 (0.894–1.238)0.29121.234 (0.974–1.565)0.60480.916 (0.732–1.145)0.0573
Hypertension
Norefrefref
Yes1.012 (0.894–1.145)0.85290.911 (0.76–1.093)0.31811.099 (0.928–1.301)0.2751
Associations of various lifestyle factors with vitamin D inadequacy among the elderly Chinese population

Discussion

More than one-third of the elderly Chinese participants in the present study had vitamin D inadequacies (25(OH)D <50 nmol/l), even during the summer and autumn seasons. The prevalence of vitamin D deficiency peaked at approximately 40 and 50% for men and women, respectively, during the spring season. The prevalence of vitamin D levels <50 nmol/l among Chinese adults is 34.3%, which is similar to that of the Canadian population (36.8%) [16], slightly lower than that of the European population(40.4%) [17] and higher than that of the US population (24%) [18]. In this study, the median 25(OH)D level in Chinese adults was 61.0 nmol/l, which was similar with the studies in the US [18] (median 25(OH)D3: 63.6 nmol/l) and Canadian populations (median 25(OH)D: 63.8 nmol/l) [16]. Seasonal variations were observed in the serum 25(OH)D concentrations among the participants, with the lowest serum 25(OH)D concentrations reported during the spring months. The 2007–2010 National Health and Nutrition Examination Survey (NHANES) provided the nationally representative serum 25(OH)D concentrations in the US, and seasonal differences in vitamin D status were also observed [18]. In addition, our result was similar to a previous study, which noted that the vitamin D status was poorest during the spring among the elderly population in northern China [19]. In this study, a significant gender difference regarding the risk of vitamin D deficiency was identified. Compared to older men, older women had a 1.544-fold increased risk of vitamin D deficiency; this result is similar with a previous study focused in Jinan (Shandong province, China), which reported that the men had a better vitamin D status than women [20]. Another study in Caucasian adults indicated that plasma 25(OH)D levels were lower in women overall, especially among older subjects [21]. The different hormone levels and lifestyles may be possible contributors to different vitamin D levels between men and women. Women are more likely to use sunglasses, sunscreen or other sun protection equipment than men [22], especially among the Chinese population [23]. In addition, multivariate linear regression analysis showed that lower vitamin D levels were strongly associated with sunscreen use [24]. Elderly individuals who were underweight had a higher risk of vitamin D deficiency than those at a normal weight. There has been extensive discussion regarding the relationship between vitamin D deficiency and body weight, with many studies reporting an inverse association between vitamin D deficiency and obesity [25-28]. The long-standing concept that fat tissue is a storage site for vitamin D has led many researchers to believe that the association between vitamin D deficiency and obesity may due to increased metabolic clearance of vitamin D through enhanced uptake in fat tissue [29] and/or decreased bioavailability of vitamin D once it is deposited in fat tissue [30]. However, identify an association between increased body weight and vitamin D deficiency was not identified in the present study. Furthermore, the low percentage of participants with a high BMI might have impaired the ability to detect this association. Blum et al. [31] reported that fat tissue and serum vitamin D concentrations were positively correlated, which indicated that we need to rediscover the cause responsible for the association between vitamin D deficiency and body weight. In our study, underweight individuals were at higher risk for vitamin D deficiency, an observation that was similar to those of previous reports [21, 32]. Although underweight people are more likely to be malnourished, which could result in vitamin D deficiency [32], the real cause is still unknown. Men living in large cities are at increased risk for vitamin D deficiency than those living in rural areas. Air pollution in the cities can decrease the ambient UVB level and affected the vitamin D health of the urban population [33]; this may be an explanation why, in our study, older people living in big cities presented a poorer vitamin D status than rural residents. However, the differences between rural and urban citizens could not be observed among older women, who were more likely to be vitamin D deficient than men in this study. Almost half of the elderly women in China were categorized with vitamin D inadequacy; therefore, the different vitamin D statuses between the urban and rural populations were not as significant among older Chinese women. Based on our logistic regression, the elderly population (men and women) living in regions with low ambient UVB levels are at higher risk of vitamin D inadequacy than individuals living in areas with high or medium ambient UVB levels. As skin exposure to UVB rays serves is a primary source of vitamin D for most people, the exposure period required to achieve an equivalent oral dose of approximately 1000 IU vitamin D increases with increasing latitude [10]; therefore, ambient UVB levels were an expected predictor of vitamin D inadequacy in our study. However, vitamin D deficiency is also common in regions with plentiful sunlight [34, 35]. In China, there was an increasing trend in the risk of vitamin D deficiency among pregnant women exposed to low ambient UVB levels [36]. The study presents some limitations. Several studies have shown that sun exposure is an important determinant of serum 25(OH)D levels [37, 38]; however, we were unable to determine the duration and region of sun exposure for each participant. Instead, we used the ambient UVB levels to estimate the sun exposure levels for the participants and found that these ambient UVB levels affect the serum 25(OH)D levels among the elderly Chinese population. Dietary calcium intake is another crucial factor that affects vitamin D status, and some experimental studies have shown that dietary calcium deficiency can lead to secondary vitamin D deficiency [39]. Unfortunately, we did not estimate the dietary calcium intake levels for each participant. The study was a descriptive cross-sectional analysis. These results can only inform us of associations between potential predictive factors and vitamin D deficiency levels, but we cannot assess the root causes of the increased incidence of vitamin D deficiency and insufficiency among the elderly Chinese population, which may be another limitation of our study. Although the study was cross-sectional in nature, the findings suggest that exposure to elevated UVB levels may prevent vitamin D deficiency and insufficiency.

Conclusions

Vitamin D deficiency and insufficiency were common among the elderly Chinese population, with almost one-third of the participants classified as having vitamin D deficiency or insufficiency. These conditions are common among older women, individuals residing in regions with low ambient UVB levels and older men living in large cities. During the spring season, vitamin D deficiency and insufficiency are more pronounced than during any other season. Further studies must identify optimal durations of outdoor activity and the necessary vitamin D intake levels to maintain sufficient vitamin D levels (25(OH)D >50 nmol/l) among the elderly population in China.
  36 in total

1.  Calculated ultraviolet exposure levels for a healthy vitamin D status.

Authors:  Ann R Webb; Ola Engelsen
Journal:  Photochem Photobiol       Date:  2006 Nov-Dec       Impact factor: 3.421

2.  National Estimates of Serum Total 25-Hydroxyvitamin D and Metabolite Concentrations Measured by Liquid Chromatography-Tandem Mass Spectrometry in the US Population during 2007-2010.

Authors:  Rosemary L Schleicher; Maya R Sternberg; Anne C Looker; Elizabeth A Yetley; David A Lacher; Christopher T Sempos; Christine L Taylor; Ramon A Durazo-Arvizu; Khin L Maw; Madhulika Chaudhary-Webb; Clifford L Johnson; Christine M Pfeiffer
Journal:  J Nutr       Date:  2016-04-06       Impact factor: 4.798

3.  Determinants of vitamin D status in Caucasian adults: influence of sun exposure, dietary intake, sociodemographic, lifestyle, anthropometric, and genetic factors.

Authors:  Mathilde Touvier; Mélanie Deschasaux; Marion Montourcy; Angela Sutton; Nathalie Charnaux; Emmanuelle Kesse-Guyot; Karen E Assmann; Léopold Fezeu; Paule Latino-Martel; Nathalie Druesne-Pecollo; Christiane Guinot; Julie Latreille; Denis Malvy; Pilar Galan; Serge Hercberg; Sigrid Le Clerc; Jean-Claude Souberbielle; Khaled Ezzedine
Journal:  J Invest Dermatol       Date:  2014-09-11       Impact factor: 8.551

4.  A new mechanism for induced vitamin D deficiency in calcium deprivation.

Authors:  M R Clements; L Johnson; D R Fraser
Journal:  Nature       Date:  1987 Jan 1-7       Impact factor: 49.962

Review 5.  Vitamin D deficiency and secondary hyperparathyroidism in the elderly: consequences for bone loss and fractures and therapeutic implications.

Authors:  P Lips
Journal:  Endocr Rev       Date:  2001-08       Impact factor: 19.871

6.  Comparison of two 25-hydroxyvitamin D immunoassays to liquid chromatography-tandem mass spectrometry in assessing samples from the Chinese population.

Authors:  Chunfeng Yun; Jing Chen; Chun Yang; Yajie Li; Jianhua Piao; Xiaoguang Yang
Journal:  Clin Chim Acta       Date:  2015-06-17       Impact factor: 3.786

Review 7.  Vitamin D and autoimmunity.

Authors:  Y Rosen; J Daich; I Soliman; E Brathwaite; Y Shoenfeld
Journal:  Scand J Rheumatol       Date:  2016-05-18       Impact factor: 3.641

8.  The impact of atmospheric pollution on vitamin D status of infants and toddlers in Delhi, India.

Authors:  K S Agarwal; M Z Mughal; P Upadhyay; J L Berry; E B Mawer; J M Puliyel
Journal:  Arch Dis Child       Date:  2002-08       Impact factor: 3.791

9.  Vitamin D(3) in fat tissue.

Authors:  Miriam Blum; Gregory Dolnikowski; Elias Seyoum; Susan S Harris; Sarah L Booth; James Peterson; Edward Saltzman; Bess Dawson-Hughes
Journal:  Endocrine       Date:  2008-03-13       Impact factor: 3.633

10.  Predicting vitamin D deficiency in older Australian adults.

Authors:  Bich Tran; Bruce K Armstrong; Kevin McGeechan; Peter R Ebeling; Dallas R English; Michael G Kimlin; Robyn Lucas; Jolieke C van der Pols; Alison Venn; Val Gebski; David C Whiteman; Penelope M Webb; Rachel E Neale
Journal:  Clin Endocrinol (Oxf)       Date:  2013-04-13       Impact factor: 3.478

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3.  The Relationship Between Serum 25-Hydroxyvitamin D Levels and Physical Performance in Community-Dwelling Older Adults.

Authors:  Hana Moon; Hae-Jin Ko; A-Sol Kim
Journal:  Ann Geriatr Med Res       Date:  2019-03-31

4.  Correlation between 25-hydroxyvitamin D level and arterial elasticity in middle-aged and elderly cadres in Guiyang, China: A retrospective observational study.

Authors:  Lan Shi; Qiao Zhang; Sai-Nan Song; Lin Ma; Qing Chang; Shuang-Yun Zhang
Journal:  Medicine (Baltimore)       Date:  2021-05-07       Impact factor: 1.889

5.  Vitamin D Status of Residents in Taiyuan, China and Influencing Factors.

Authors:  Xiaoning Yan; Jasmine S Thomson; Ruibao Zhao; Ruifang Zhu; Zhaolin Wang; Na Zhang; Jane Coad
Journal:  Nutrients       Date:  2017-08-18       Impact factor: 5.717

6.  Vitamin D Nutritional Status and its Related Factors for Chinese Children and Adolescents in 2010-2012.

Authors:  Yichun Hu; Jing Chen; Rui Wang; Min Li; Chunfeng Yun; Weidong Li; Yanhua Yang; Jianhua Piao; Xiaoguang Yang; Lichen Yang
Journal:  Nutrients       Date:  2017-09-15       Impact factor: 5.717

7.  Nutrihealth Study: Seasonal Variation in Vitamin D Status Among the Slovenian Adult and Elderly Population.

Authors:  Maša Hribar; Hristo Hristov; Matej Gregorič; Urška Blaznik; Katja Zaletel; Adrijana Oblak; Joško Osredkar; Anita Kušar; Katja Žmitek; Irena Rogelj; Igor Pravst
Journal:  Nutrients       Date:  2020-06-19       Impact factor: 5.717

8.  A Nonlinear Relationship Between Serum 25-Hydroxyvitamin D and Urine Albumin to Creatinine Ratio in Type 2 Diabetes: A Cross-Sectional Study in China.

Authors:  Qian Liang; Haofei Hu; Han Wu; Xuan Chen; Wei Wang; Ying Le; Shufen Yang; Lijing Jia
Journal:  Diabetes Metab Syndr Obes       Date:  2021-06-09       Impact factor: 3.168

9.  Vitamin D Status and Its Associated Risk Factors among Adults in the Southwest Region of Cameroon.

Authors:  Delphine A Tangoh; Tobias O Apinjoh; Yasir Mahmood; Robert V Nyingchu; Beatrice A Tangunyi; Emmanuel N Nji; Abid Azhar; Eric A Achidi
Journal:  J Nutr Metab       Date:  2018-03-19

10.  Seasonal variation and correlation analysis of vitamin D and parathyroid hormone in Hangzhou, Southeast China.

Authors:  Miaoda Shen; Zhuoyang Li; Duo Lv; Ge Yang; Ronghuan Wu; Jun Pan; Shuo Wang; Yifan Li; Sanzhong Xu
Journal:  J Cell Mol Med       Date:  2020-05-16       Impact factor: 5.310

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