Prevalence of Vitamin D and Calcium Deficiency and Insufficiency in Women of Childbearing Age and Associated Risk Factors: A Systematic Review and Meta-Analysis
Abstract
:1. Introduction
2. Materials and Methods
2.1. Search Strategy and Databases
2.2. Eligibility Criteria
2.2.1. Inclusion Criteria
- Studies that provide data on the prevalence of serum calcium and/or vitamin D deficiency in women of childbearing age (15–49 years or menarche and menopause).
- Studies with representative population-based samples in hospitals, health centers, or outpatient clinics.
- Prevalence data in women of different age groups, such as adolescents, pregnant women, lactating women, and premenopausal adult women.
- Studies with a cross-sectional design and data from longitudinal studies (cohort studies) or intervention studies, such as clinical trials or community trials, provided they had prevalence information for a specific time. Articles in English, Portuguese, and Spanish were included.
2.2.2. Exclusion Criteria
- ○
- Opinion articles, comments, or editorials.
- ○
- Duplicate articles, i.e., the same study found in different databases.
- ○
- Articles with the same database/population/sample, in which case the study with the largest sample size was considered.
- ○
- Articles with primary data not accessible even after request to the authors.
- ○
- Case-control articles, narrative reviews, and case series.
- ○
- Studies conducted among female athletes of any sport.
- ○
- Studies conducted among women with the following specific diseases: autoimmune diseases such as lupus, psoriasis, thyroiditis, rheumatoid arthritis, and multiple sclerosis; eating disorders such as anorexia and bulimia; hematological diseases such as thalassemia and sickle cell disease; respiratory diseases such as chronic obstructive pulmonary disease, asthma, pneumonia, respiratory infections, and tuberculosis; chronic diseases such as heart failure, kidney failure, liver disease, chronic kidney disease, heart disease, nephrotic syndrome, AIDS, inflammatory bowel disease, hypo- or hyperthyroidism, sepsis, and cancer; genetic diseases and syndromes such as vitamin D receptor mutation, cystic fibrosis, and Prader–Willi syndrome; neurological or psychiatric disorders such as epilepsy (or antiepileptic medication use), attention deficit hyperactivity disorder, and schizophrenia.
- ○
- Studies conducted among post-surgical patients, patients with trauma or burns, or patients undergoing recent treatment for fractures or orthopedic/osteoarticular diseases.
- ○
- Studies conducted among patients undergoing intensive, urgency or emergency, or palliative care.
- ○
- Studies with fewer than 50 participants.
- ○
- Studies conducted among indigenous women.
2.3. Reviewer Training
2.4. Review Process
2.5. Data Extraction and Risk of Bias Assessment
2.6. Statistical Analysis
3. Results
3.1. Prevalence of Vitamin D Deficiency and Insufficiency
3.2. Factors Associated with Vitamin D Deficiency and Insufficiency
3.3. Prevalence of Calcium Deficiency and Associated Risk Factors
3.4. Quality Analysis of the Evidence
3.5. Meta-Analysis of the Prevalence of Vitamin D Deficiency and Insufficiency
4. Discussion
5. Conclusions
Supplementary Materials
Author Contributions
Funding
Conflicts of Interest
References
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Author/Year/Location | Investigated Variables | Summary of the Association of Vitamin D Deficiency or Insufficiency |
---|---|---|
Pregnant women | ||
Pereira-Santos/2017 [35] San Antonio de Jesus-Bahia Northeast | Age, MFI, YS, skin color, MS, GA, number of weekly SEs, region of body exposed to sun, SY, means of transport | Association–risk factor to: Being married or in a relationship Face and hands on the sun Use of vehicle as transport Season-winter |
Chrisostomo/2018 [33] Curitiba-Paraná South | Age, ethnic origin, skin phototype according to the Fitzpatrick classification, tobacco exposure, AI, YS, PCI, SY; clinical data: preeclampsia, DM, HIV, BMI, medication use, stage of pregnancy, parity, number of spontaneous abortions, NP | Association–risk factor to: Preeclampsia Serum vitamin D Increase when blood collection is in the summer |
Souza/2019 [34] São Luís-Maranhão Northeast | Marital status, skin color, PCI, religion, sunscreen use, adolescence, NP, gestational trimester | Lower mean Vitamin D–risk factor to: Religion/protestant Primiparous Association hypovitaminosis-risk factor to: Adolescents Primiparous, Income |
Prado/2015 [43] Viçosa-Minas Gerais Southeast | Women: age, skin color, place of residence, parity, supplementation, US, SE, education, MS, TD, AP, Ca, PTH, P | No association |
Figueiredo/2017 [44] Rio de Janeiro Southeast | Age, skin color, YS, PCI, parity, smoking in the 1st trimester, AI in the 1st trimester, PA before pregnancy, SY, daily calcium and VD intake | No association Only increase of serum Vitamin D during the third trimester of pregnancy stated in winter or spring |
Non-pregnant women | ||
Ferreira/2015/Rio de Janeiro-RJ [45] Southeast | Age, skin color, AI, daily Ca consumption, creatinine, TPL, albumin, globulin, intracellular Ca, serum Ca, ionic Ca, urinary Ca/creatinine, PTH, W, BMI, BF, WC, HC, WC/HC ratio, WC/height ratio, glucose, insulin, HOMA-IR, TCL, HDL, LDL, TG, leptin, adiponectin, hs-CRP, RHI, SBP, DBP. | Association–risk factor to: Serum glucose, Homeostatic model assessment for insulin resistance |
Araújo/2017 [36] João Pessoa-PB Northeast | Age, skin color, daily hours of sleep, SE, PA, daily VD intake, weight, height, BMI | Association–risk factor to: Calcium |
Vivan **/2019 [46] Porto Alegre-RS South | Age, sex, skin color, educational level, SY, BMI, SAH, DM, multiple comorbidities, use of thiazide diuretics, use of Ca channel blocker, Hb1Ac, FBG | Association–risk factor to: Non-white skin Diabetes Use of calcium channel blocker Glycated hemoglobin Fasting blood glucose Autumn-winter Body mass index |
Fonseca Valle/2019 [37] Rio de Janeiro-RJ Southeast | Age, weight, height, BMI, WC, waist-to-height ratio, CI, PTH, LDL, HDL, TCL, TG, SBP, DBS, FBG, Hb1Ac, SI, HOMA-IR, | Association–risk factor to: Weight Body mass index Waist circumference Waist-to-height ratio Systolic blood pressure Homeostatic model assessment for insulin resistance |
Peters/2009 [39] Indaiatuba-SP Southeast | Sunscreen, physical exercise, sun exposure, DBS, SBP | No association |
Santos **/2012 [40] Curitiba-PR, Porto Alegre-RS South | Age, height, BMI, age at menarche, thelarche, SY, genotype, WC | No association |
Lopes/2017 [41] Brasilia DF Midwest | Infertility (low ovarian reserve, PCOS, tubal factors, endometriosis, multiple factors, unexplained infertility) | No association |
Santos/2019 [42] Brazil South | BP, weight, height, WC, BMI, TCL, LDL, HDL, TG, HOMA-IR, estradiol, testosterone, SHBG, PTH, VDBP, albumin | No association |
Segheto **/2021 [38] Viçosa-Minas Gerais Southeast | Bone mass, total bone mineral content | No association |
Lopes/2015 [47] São Paulo-SP Southeast | Not investigated | |
Maciel/2017 [48] Jacareí-SP Southeast | Not investigated | |
Mendes/2020 [49] several cities in Brazil | Not investigated |
Study (Year) | Conflict of Interests | Ethical Approval | Downs and Black Checklist | GRADE | |||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
A/1 | B/2 | C/3 | D/5 | E/6 | F/7 | G/9 | H/10 | I/11 | J/12 | K/17 | L/18 | M/20 | N/21 | O/25 | P/26 | Total | Score # | ||||
Segheto et al. (2021) [39] | * | YES | 1 | 1 | 1 | 2 | 1 | 1 | - | 1 | 1 | 1 | - | 1 | 1 | 1 | 13/13 | 100% | ●●● | ||
Mendes et al. (2020) [49] | * | YES | 1 | 1 | 1 | 2 | 1 | 1 | - | 1 | 0 | 0 | - | 1 | 1 | - | 1 | - | 11/13 | 85% | ●●● |
De Souza; Silva; Figueiredo (2019) [44] | * | YES | 1 | 1 | 1 | 0 | 1 | 1 | - | 1 | 0 | 0 | - | 1 | 1 | - | 0 | - | 8/13 | 62% | ●● |
Valle; Giannini (2019) [37] | * | NO | 1 | 1 | 1 | 0 | 1 | 1 | - | 1 | 0 | 1 | - | 1 | 1 | - | 1 | - | 10/13 | 77% | ●● |
Vivan et al. (2019) [46] | * | YES | 1 | 1 | 1 | 1 | 1 | 1 | - | 1 | 0 | 0 | - | 1 | 1 | - | 1 | - | 10/13 | 77% | ●●●● |
Christostomo et al. (2018) [33] | * | YES | 1 | 1 | 1 | 1 | 1 | 1 | - | 1 | 0 | 1 | - | 1 | 1 | - | 1 | - | 11/13 | 85% | ●●● |
Figueiredo et al. (2017) [44] | * | YES | 1 | 1 | 1 | 2 | 1 | 1 | 1 | 1 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 15/17 | 88% | ●●● |
Araújo et al. (2017) [36] | * | YES | 1 | 1 | 1 | 1 | 1 | 1 | - | 1 | 0 | 0 | - | 1 | 1 | - | 1 | - | 10/13 | 77% | ●●● |
Pereira-Santos et al. (2017) [35] | * | YES | 1 | 1 | 1 | 1 | 1 | 1 | - | 1 | 1 | 1 | - | 1 | 1 | - | 1 | - | 12/13 | 92% | ●●● |
Lopes et al. (2017) [41] | * | NO | 1 | 1 | 1 | 1 | 1 | 1 | - | 1 | 0 | 1 | - | 1 | 1 | - | 1 | - | 11/13 | 85% | ●●● |
Maciel; Reis (2017) [48] | * | YES | 1 | 1 | 1 | 0 | 1 | 1 | - | 0 | 0 | 0 | - | 1 | 1 | - | 0 | - | 7/13 | 54% | ● |
Ferreira et al. (2015) [45] | * | YES | 1 | 1 | 1 | 2 | 1 | 1 | - | 1 | 0 | 0 | - | 1 | 1 | - | 1 | - | 11/13 | 85% | ●●● |
Prado et al. (2015) [43] | * | YES | 1 | 1 | 1 | 2 | 1 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 12/13 | 92% | ●●● | ||||
Lopes et al. (2015) [47] | * | YES | 1 | 1 | 1 | 1 | 1 | 1 | - | 1 | 0 | 1 | - | 1 | 1 | - | 1 | - | 11/13 | 85% | ●●● |
Santos et al. (2012) [40] | * | YES | 1 | 1 | 1 | 2 | 1 | 1 | - | 1 | 0 | 0 | - | 1 | 1 | - | 1 | - | 11/13 | 85% | ●●● |
Peters et al. (2009) [39] | * | YES | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 1 | 1 | 1 | 10/13 | 77% | ●● |
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da Silveira, E.A.; Moura, L.d.A.N.e.; Castro, M.C.R.; Kac, G.; Hadler, M.C.C.M.; Noll, P.R.E.S.; Noll, M.; Rezende, A.T.d.O.; Delpino, F.M.; Oliveira, C.d. Prevalence of Vitamin D and Calcium Deficiency and Insufficiency in Women of Childbearing Age and Associated Risk Factors: A Systematic Review and Meta-Analysis. Nutrients 2022, 14, 4351. https://doi.org/10.3390/nu14204351
da Silveira EA, Moura LdANe, Castro MCR, Kac G, Hadler MCCM, Noll PRES, Noll M, Rezende ATdO, Delpino FM, Oliveira Cd. Prevalence of Vitamin D and Calcium Deficiency and Insufficiency in Women of Childbearing Age and Associated Risk Factors: A Systematic Review and Meta-Analysis. Nutrients. 2022; 14(20):4351. https://doi.org/10.3390/nu14204351
Chicago/Turabian Styleda Silveira, Erika Aparecida, Letícia de Almeida Nogueira e Moura, Maria Clara Rezende Castro, Gilberto Kac, Maria Claret Costa Monteiro Hadler, Priscilla Rayanne E. Silva Noll, Matias Noll, Andréa Toledo de Oliveira Rezende, Felipe Mendes Delpino, and Cesar de Oliveira. 2022. "Prevalence of Vitamin D and Calcium Deficiency and Insufficiency in Women of Childbearing Age and Associated Risk Factors: A Systematic Review and Meta-Analysis" Nutrients 14, no. 20: 4351. https://doi.org/10.3390/nu14204351
APA Styleda Silveira, E. A., Moura, L. d. A. N. e., Castro, M. C. R., Kac, G., Hadler, M. C. C. M., Noll, P. R. E. S., Noll, M., Rezende, A. T. d. O., Delpino, F. M., & Oliveira, C. d. (2022). Prevalence of Vitamin D and Calcium Deficiency and Insufficiency in Women of Childbearing Age and Associated Risk Factors: A Systematic Review and Meta-Analysis. Nutrients, 14(20), 4351. https://doi.org/10.3390/nu14204351