| Literature DB >> 35936520 |
Dariush D Farhud1,2,3, Marjan Zarif-Yeganeh3,4, Atefeh Mehrabi3, Ali-Reza Afshari5, Mohammad Bagher Rokni1, Keyvan Majidi6, Maryam Jalali6, Ali Akbar Amir Zargar6,7, Abdolfattah Sarafnejad6,7, Hamid Reza Sadeghipour6,8, Shaghayegh Zokaei3, Farideh Khosravi6,7, Mahmoud Jalali6,9, Mohammad Khazeni10.
Abstract
Background: Calcium is a necessary mineral for life to keep the body and bones healthy. Various factors including hormones, diet, age, and gender affect serum calcium status. The aim of this sturdy was to assess the serum calcium level (SCL) of Tehran population, which has about 10 million multi-Ethnic populations and represents from the whole country.Entities:
Keywords: Calcium; Hypercalcemia; Hypocalcemia; Iran
Year: 2022 PMID: 35936520 PMCID: PMC9288392 DOI: 10.18502/ijph.v51i4.9245
Source DB: PubMed Journal: Iran J Public Health ISSN: 2251-6085 Impact factor: 1.479
Fig. 1:Three main hormones involved in Calcium homeostasis, PTH (parathyroid), calcitonin (parafollicular cells, thyroid), calcitriol (mainly produced in the kidneys). In low serum Ca2+, the actions of PTH and calcitriol predominate, leading to increased Ca2+ uptake from the gut and bone, and decreased renal Ca2+ excretion. In high serum Ca2+, the action of calcitonin predominates, causing decreased Ca2+ uptake from the gut, increased renal excretion, and storage of excess Ca2+ in bone (38)
Normal and abnormal SCL in studied population, by gender
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| Male | Female | ||||
| Calcium status | |||||
| Normal | Number | 30,355 | 43,772 | ||
| % | 83.6 | 79.66 | |||
| Hypocalcemia | Number | 4,658 | 9,452 | ||
| % | 12.83 | 17.2 | <0.0001 | ||
| Hypercalcemia | Number | 1,296 | 1,724 | ||
| % | 3.57 | 3.14 | |||
| Total | Number | 36,309 | 54,948 | ||
| % | 100 | 100 | |||
Fig. 2:Serum calcium level of the studied population during 2009–2018, by gender
Fig. 3:Mean serum calcium level s in different age groups by gender (from 2009–2018)
Serum calcium level s of both genders among different age groups
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| Number | Mean | SD
| Number | Mean | SD | P value | |
| <10 | 4,855 | 9.85 | 0.57 | 4,374 | 9.94 | 0.59 | 0.0001 |
| 11–20 | 2,653 | 9.65 | 0.50 | 2,912 | 9.48 | 0.50 | 0.0001 |
| 21–30 | 3,569 | 9.48 | 0.56 | 6,698 | 9.22 | 0.52 | 0.0001 |
| 31–40 | 6082 | 9.39 | 0.51 | 10366 | 9.15 | 0.50 | 0.0001 |
| 41–50 | 6,734 | 9.32 | 0.51 | 10,014 | 9.17 | 0.53 | 0.0001 |
| 51–60 | 5,279 | 9.27 | 0.54 | 9,979 | 9.37 | 0.55 | 0.0001 |
| 61–70 | 4,057 | 9.24 | 0.55 | 6,490 | 9.39 | 0.55 | 0.0001 |
| 71–80 | 2,332 | 9.17 | 0.65 | 3,151 | 9.38 | 0.59 | 0.0001 |
| >80 | 742 | 9.15 | 0.65 | 957 | 9.35 | 0.71 | 0.0001 |
Standard deviation
Fig. 4:Frequency of normal and abnormal serum calcium level based on age group
Fig. 5:Frequency of normal and abnormal serum calcium based on different years
Fig. 6:Mean serum calcium level s in different months (from 2009–2018) in Male and Female
Fig. 7:Relationship between mean serum calcium level and mean age of individuals over a 10-year period (2009–2018)
Frequency of normal and abnormal serum calcium levels in different age groups by gender
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| 0–10 | 11–20 | 21–30 | 31–40 | 41–50 | 51–60 | 61–70 | 71–80 | >80 | Men | Women | ||||
| Normal | no | 7,514 | 5,038 | 8,418 | 13,022 | 13,151 | 12,771 | 8,650 | 4,304 | 1,250 | <0.0001 | 30,355 | 43,772 | <0.0001 |
| % | 81.42 | 90.53 | 81.99 | 79.17 | 78.52 | 83.7 | 82.01 | 78.5 | 73.57 | 83.6 | 79.66 | |||
| Hypocalcemia | no | 248 | 338 | 1,668 | 3,229 | 3,389 | 2,190 | 1,628 | 1,027 | 391 | 4,658 | 9,452 | ||
| % | 2.69 | 6.07 | 16.25 | 19.63 | 20.24 | 14.35 | 15.44 | 18.73 | 23.01 | 12.83 | 17.2 | |||
| Hypercalcemia | no | 1,467 | 189 | 181 | 197 | 208 | 297 | 269 | 152 | 58 | 1,296 | 1,724 | ||
| % | 15.9 | 3.4 | 1.76 | 1.2 | 1.24 | 1.95 | 2.55 | 2.77 | 3.41 | 3.57 | 3.14 | |||
| Total | no | 9,229 | 5,565 | 10,267 | 16,448 | 16,748 | 15,258 | 10,547 | 5,483 | 1,699 | 36,309 | 54,948 | ||
| % | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | |||
Association of demographic factors with abnormal serum calcium
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| Effect of female gender | Hypocalcemia | 1.41 | <0.0001 | 1.35, 1.46 |
| Hypercalcemia | 0.92 | 0.032 | 0.86, 0.99 | |
| Effect of age | Hypocalcemia | 1.03 | 0.104 | 0.99, 1.07 |
| Hypercalcemia | 0.60 | <0.0001 | 0.56, 0.66 | |
| Effect of age among men | Hypocalcemia | 2.51 | <0.0001 | 2.36, 2.67 |
| Hypercalcemia | 0.37 | <0.0001 | 0.32, 0.44 | |
| Effect of age among women | Hypocalcemia | 0.62 | <0.0001 | 0.59, 0.65 |
| Hypercalcemia | 0.78 | <0.0001 | 0.71, 0.86 |
Comparison of average blood calcium level of Tehran population, by gender and year (2009–2018)
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| Number | Mean | SD | Number | Mean | SD | Number | Mean | SD | ||
| 2009 | 5,279 | 9.60 | 0.69 | 2,200 | 9.67 | 0.69 | 3,079 | 9.55 | 0.69 | <0.0001 |
| 2010 | 6,197 | 9.60 | 0.64 | 2,473 | 9.64 | 0.66 | 3,724 | 9.57 | 0.63 | 0.0001 |
| 2011 | 7,490 | 9.40 | 0.64 | 2,981 | 9.43 | 0.68 | 4,509 | 9.37 | 0.62 | 0.0004 |
| 2012 | 8,155 | 9.45 | 0.69 | 3,195 | 9.49 | 0.71 | 4,960 | 9.41 | 0.67 | <0.0001 |
| 2013 | 8,519 | 9.41 | 0.64 | 3,308 | 9.45 | 0.64 | 5,211 | 9.39 | 0.64 | <0.0001 |
| 2014 | 10,018 | 9.22 | 0.56 | 3,933 | 9.27 | 0.55 | 6,085 | 9.18 | 0.56 | <0.0001 |
| 2015 | 11,308 | 9.30 | 0.51 | 4,366 | 9.37 | 0.50 | 6,942 | 9.25 | 0.50 | <0.0001 |
| 2016 | 12,196 | 9.25 | 0.50 | 5,095 | 9.31 | 0.49 | 7,101 | 9.22 | 0.51 | <0.0001 |
| 2017 | 12,050 | 9.35 | 0.50 | 4,726 | 9.40 | 0.48 | 7,324 | 9.31 | 0.50 | <0.0001 |
| 2018 | 10,045 | 9.31 | 0.45 | 4,032 | 9.36 | 0.44 | 6,013 | 9.27 | 0.45 | <0.0001 |
| Total | 91,257 | 9.36 | 0.58 | 36,309 | 9.41 | 0.58 | 54,948 | 9.33 | 0.58 | <0.0001 |
Standard deviation