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Medical Studies/Studia Medyczne
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vol. 33
Original paper

The association between calcium consumption and students body composition

Przemysław Zając
1, 2
Aneta Grochowska
Edyta Suliga

Doctoral Studies, Faculty of Medicine and Health Sciences, Jan Kochanowski University, Kielce, Poland
Nursing Department, Institute of Health Sciences, State Higher Vocational School, Tarnow, Poland
Department of the Prevention of Alimentary Tract Diseases, Institute of Nursing and Midwifery, Faculty of Medicine and Health Sciences, Jan Kochanowski University, Kielce, Poland
Medical Studies/Studia Medyczne 2017; 33 (3): 184–190
Online publish date: 2017/09/30
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Calcium is the main building material for bones, teeth, blood vessels, hair and nails, and it regulates many important life processes [1, 2]. Nearly 99% of this element in the body plays the role of building material in the form of hydroxyapatite. Biologically this form is practically inactive. The remaining part is present in the ionised form (Ca2+) in the intracellular fluid and extracellular fluid [1]. The average daily necessary intake of calcium for an adult (19 to 50 years old) is 800 mg, and the recommended daily consumption of this element is 1000 mg [3]. The best source of well assimilable calcium is milk and dairy products. Other excellent sources of calcium are fish consumed with their bones and wholemeal grain products [3].
According to research, the Polish population does not consume enough calcium [4–7]. The consequences of a low intake of calcium are negative changes in the human body and chronic illnesses. In adults, the health problems related to a low intake are usually osteopaenia and osteoporosis, which cause unstable fractures, mainly of the ilium, femoral neck, and the vertebrae column. Eventually, movement is impaired and the quality of life is poorer [7–9].
The active form of calcium (Ca2+) regulates many processes that take place in the human body. It is responsible for the normal contraction of smooth muscles, striated muscles, and the cardiac muscle. It lowers the permeability of blood vessels, ensures the normal conduction of nerve impulses, and it plays a role in hormone balance [10].
The results of many studies have led to formulation of a hypostasis that low calcium intake and/or low consumption of dairy products is associated with a higher mass of adipose tissue, and a higher risk of overweight and obesity [11–15]. Many studies have also pointed to the influence of an incorrect calcium level on the occurrence of metabolic syndrome [16].

Aim of the research

The aim of this work was the analysis of the relationship between calcium consumption, body mass index (BMI), and the body composition of students. It was also tested whether other factors, such as sex, socio-economic status, and selected healthy behaviours are connected with the value of BMI and the amount of adipose tissue in the participants of this study.

Material and methods

A total of 103 students of nursing from the State Higher Vocational School in Tarnow took part in the study in July 2016. The research had been granted permission from the Bioethical Committee of the Faculty of Medicine and Health Sciences of the Jan Kochanowski University in Kielce (no. 24/2016). Body height was measured using a medical scales stadiometer. Body composition was measured using electro impedance method with a Body Composition Monitor Tanita BC-545N. The following results were further analysed:
• body mass index (BMI) – body mass divided by the square of the body height expressed in kg/m2. The WHO classification was used to evaluate this indi-cator: < 18.5 kg/m2 – underweight; 18.5–24.99 kg/m2 – healthy value; 25.0–29.9 kg/m2 – overweight; ≥ 30 kg/m2 – obesity [17].
• body fat percentage (%BF) – the amount of body fat as a proportion of body weight. It was assumed that excess body fat is the value of ≥ 25% in men and ≥ 35% in women [18].
• total body water percentage (%TBW) – the total amount of fluid in the body expressed as a percentage of total body weight.
• visceral fat rating (VFR) – indicates the rating of visceral fat in the body. The results are given as levels from 1 to 59.
• muscle mass (MM) – the weight of muscle in your body including the skeletal muscles, smooth muscles (digestive muscles and cardiac), and water contained in these muscles expressed in kilograms.
• bone mass (BM) – the amount of bone in the body (bone mineral level includes calcium and other minerals) expressed in kilograms.
The authors used their own questionnaire to evaluate socio-economic status (place of living, material status) and selected healthy behaviours (tobacco smoking, taking calcium supplements). To evaluate the consumption of calcium the Dairy Products Frequency Questionnaire (ADOS-Ca) was used. This is a validated, semi-quantitative questionnaire that evaluates the amount and frequency of intake of 11 dairy products that have been habitually consumed during the last 6 months. It also enables us to calculate the general amount of calcium intake from daily diet, involving regression equations compiled by Szymelfejnik et al. [19].
It was assumed that the optimal calcium intake was the level of the EAR norm (Estimated Average Requirement), i.e. 800 mg/day [3]. Taking into account the centile distribution of total calcium intake, three categories of calcium consumption were distinguished: low (T1), average (T2), and high (T3).

Statistical analysis

The results were statistically analysed using the Statistica PL 9.0 program. A2 test was used to evaluate the association between selected factors, body mass indicators, and the amount of body fat. The following tests were utilised to evaluate the correlation between calcium consumption from daily diet as well as from rennet and cream cheeses, and body composition: a non-parametric Kruskal-Wallis test, a one-way ANOVA test, and a post-hoc test. The level of statistical significance was set at p = 0.05.


The study group consisted of 91 (88.3%) women and 12 (11.7%) men from 19 to 33 years old (21.7 ±2.9 years) (Table 1). The percentage of participants from rural areas was 56.3%, the remaining 43.7% were from urban areas. The significant majority of the participants stated that their material status was high or very high (71.8%). 27.3% declared that their material status was average, and 0.9% that it was low or very low. 8.7% of the participants smoked cigarettes; the others never smoked. The BMI showed that 6.8% of the students were underweight and 21.4% of students were overweight or obese. Participants with a normal level of adipose tissue (%BF) constituted 90.3% of the value of this indicator; the rest exceeded the norm.


Excess body mass appeared more often in men (58.3%) than in women (16.5%) (p = 0.0008) (Table 2). Among individuals who had a BMI ≥ 25 kg/m2, the percentage of those who consumed calcium in the amount that was equal or exceeded the EAR norm was higher (36.4%) than in the group with a lower BMI (14.8%) (p = 0.0234). In the case of the other variables, the authors did not notice any significant correlations with BMI. The authors did not find any significant associations between the variables analysed and the percentage of adipose tissue.
The research results demonstrated significant statistical differences between the levels of total calcium intake by the students, the amount of visceral fat (p = 0.0260), the amount of muscle mass (p = 0.0070), bone mass (p = 0.0040), and the value of BMI (p = 0.015) (Table 3). Individuals who consumed more calcium had more visceral fat in comparison to those with low calcium consumption. The lowest calcium consumption was associated with the lowest muscle mass and bone mass in comparison to persons with average and high calcium consumption. Individuals who demonstrated the lowest calcium consumption had the lowest BMI in comparison to persons with average calcium consumption. The authors did not notice a significant statistical difference between the levels of calcium consumption and the percentage of adipose tissue (p = 0.5000), as well as the percentage of body water (p = 0.3200).
The analysis carried out did not show a significant statistical difference between the percentage of adipose tissue (p = 0.0960), the amount of visceral fat (p = 0.3500), the percentage of body water (p = 0.1100), muscle mass (p = 0.4100), bone mass (p = 0.3200), and the value of BMI (p = 0.3500), in association with the level of calcium consumption from rennet and cream cheeses in the participants of this study (Table 4). However, it was observed that the individuals with the lowest calcium intake (T1 group) had notably lower adipose tissue in comparison to the other participants of this study.


A well-balanced diet is very important for the functioning of the human body. Limited consumption of dairy products that contain calcium may lead to many complications, including malnutrition or decalcification of bones [20]. A lower level of calcium is also associated with the occurrence of overweight and obesity. Eagan et al. demonstrated in their research that increased calcium intake from dairy products may prevent the build-up of adipose tissue in young, healthy women with normal body mass [21]. Also, Jacqmain et al. claim that, among adults, the potential influence of calcium on body mass and the amount of adipose tissue is visible, especially in women [22].
The research carried out by Zemel et al. confirmed that body mass, BMI and the amount of body fat were significantly higher in women who consumed less calcium [11]. Research carried out by Heiss et al. among post-menopausal women also shows that increased calcium consumption was associated with a low percentage of body fat [23]. There was not an association, however, between calcium consumption and BMI. A similar correlation between increased calcium consumption and lower body mass was presented in the work by Hlavata [24].
The authors found an opposite tendency in their own research. Higher calcium consumption in the students was associated with a higher amount of visceral fat and the value of BMI. It was observed that there were significantly more persons among overweight individuals who consumed the recommended (EAR norm) amount of calcium in comparison to individuals who had a low BMI. A significant statistical correlation between calcium intake and the percentage of body fat was not found. Moreover, the authors found in their own research that low calcium consumption was associated with low bone mass and muscle mass. Similar results of research were presented by Correa-Rodríguez et al. [25]. An examination of Spanish men and women demonstrated that a diet low in calcium in early adulthood may have a negative influence on bone mass and muscle mass. A positive association between the consumption of dairy products and fat-free mass in men was confirmed by Nezami et al. [26]. One may suppose that a higher BMI in individuals who consume more calcium can be associated more with their higher bone mass and muscle mass, not the amount of body fat.
The results of studies of many other researchers also do not confirm the hypothesis that a higher consumption of dairy products is correlated with a lower probability of the occurrence of overweight in adolescents. The results of the meta-analysis carried out by Schwingshackl et al. [27] demonstrated that the consumption of dairy products was not positively correlated with the changes in body mass. The only product from that group whose higher intake resulted in a lower risk of obesity and positive changes in body mass or waist circumference was yoghurt. Jones et al. carried out research on people who they divided into two groups [28]. The first group consumed products that contained a high amount of dairy and calcium; the second group consumed foods with a low amount of those elements. Results of this study also confirm that a diet rich in calcium was not associated with a higher loss of body mass. Nezami et al. [26] actually stated that the consumption of dairy products seems to play a role in developing abdominal obesity, especially in boys. The results of the authors’ own research that show a positive correlation between calcium consumption and the amount of visceral fat are in accordance with those observations.
Although the authors did not observe a significant statistical association between the consumption of calcium from rennet and cream cheeses, which are dairy products with the highest amount of fat, and the percentage value of body fat and BMI, it was observed that body fat tends to increase with a higher intake of calcium from these products. It may suggest that among the sources of calcium only low-fat dairy products have a positive influence on body mass and body composition. Similarly, Salehi-Abargouei et al. stated that increased dairy consumption without an energy restriction might not lead to a favourable change in weight or body composition [29]. Some products consumed by the researched students may have also contained the addition of sugar and/or high-fructose corn syrup. These ingredients may have been responsible for fat accumulation and elimination of the positive influence of calcium as well. However, the questionnaire applied by us did not allow for a more accurate determination of their content in the analysed products.
While many studies suggest a strong association between calcium consumption, body mass, and the amount of body fat, other researchers point to an inverse correlation between calcium supplementation and the reduction of body mass or adipose tissue [30–32]. The authors did not observe in their own research a significant difference between consuming calcium supplements and BMI or body composition, including the amount of adipose tissue. Similar results were presented by Boon et al. [33]. The research carried out on the Dutch population demonstrated a lack of influence of calcium supplementation on body mass or body composition. The results of the study by Reid et al. [34] are no different. The study in which post-menopausal women consumed calcium supplements did not show any significant changes in their body mass. Another randomised, controlled study by Jensen et al. noted that 1 g/day of calcium supplementation does not cause changes in body mass [35]. Also, Bowen et al. noted in their randomised parallel study of 50 overweight and obese people that an increase of calcium-rich product consumption does not influence the loss of body mass or change in body composition [36]. Phillips et al. also showed a lack of association between calcium intake and body composition in non-obese adolescents [37]. Nevertheless, if the supplement was taken in the company of sugary, high-calorie dairy products, it may have impaired the positive impact of calcium. In addition, calcium supplements taken in the company of dairy products are less well absorbed, which may also affect the outcome of the study [38–40].
Socio-economic factors and selected healthy behaviours did not show an association with the BMI value and the amount of body fat in the study group. A higher frequency of the occurrence of excess body mass in men than in women was observed.


The results of this study do not support the hypothesis that a higher consumption of dairy products is associated with a lower probability of occurrence of excess body mass and adipose tissue. A higher consumption of calcium by the students was connected with a higher amount of visceral fat and a higher BMI, but also with higher muscle mass and bone mass. The tendency to have a lower amount of visceral fat by persons that consume fewer dairy products high in fat may suggest that only low-fat dairy products have a positive influence on body mass and body composition. This issue requires further research.
Excess body mass was more frequently found in men in comparison to women. Socio-economic factors and selected healthy behaviours did not seem to be associated with the value of BMI and the amount of body fat.
The authors recommend promoting healthy dietary patterns among students, including a higher consumption of dairy products, especially low-fat products.

Conflict of interest

The authors declare no conflict of interest.


1. Szeleszczuk Ł, Kuras M. Znaczenie wapnia w metabolizmie człowieka i czynniki wpływające na jego biodostępność w diecie. Biul Wydz Farm WUM 2014; 3: 16-22.
2. Kostecka M. Frequency of consumption of foods rich in calcium and vitamin D among school-age children. Rocz Panstw Zakl Hig 2016; 67: 23-30.
3. Normy żywienia dla populacji polskiej – nowelizacja. Jarosz M (ed.). IŻiŻ, Warsaw 2012.
4. Marzec Z, Marzec A, Wyszogrodzka-Koma L, Buczek A. Ocena pobrania wapnia, magnezu, sodu i potasu z całodziennymi racjami pokarmowymi studentów z uwzględnieniem suplementacji. Bromat Chem Toksykol 2012; 45: 280-4.
5. Ustymowicz-Farbiszewska J, Smorczewska-Czupryńska B, Fiłon J, Zawadzka E, Karczewski J. Makroelementy w całodziennych racjach pokarmowych uczennic ze szkół policealnych Białegostoku. Bromat Chem Toksykol 2012; 45: 326-31.
6. Waśkiewicz A. Mineral supplements effect on total nutrient intake in Warsaw adult population: cross-sectional assessment. Rocz Panstw Zakl Hig 2015; 66: 123-8.
7. Kuthan RT, Kuthan RH. Niedobór wapnia, witaminy D i jej metabolitów w osteoporozie. Lek w Polsce 2014; 24: 34-42.
8. Cho K, Cederholm T, Look J. Calcium intake in elderly patients with hip fractures. Food Nutr Res 2008; 52: 10.3402/fnr.v52i0.1654.
9. Jawidan AN, Vafa M, Shidfar F, Khazaeipour Z, Shahbazi F, Rahimi A, Razayi SH. Calcium and vitamin D plasma concentration and nutritional intake status in patients with chronic spinal cord injury: a referral center report. J Res Med Sci 2014; 19: 881-4.
10. Ciborowska H, Rudnicka A. Dietetyka. Żywienie człowieka zdrowego i chorego. Wydawnictwo Lekarskie PZWL, Warsaw 2014.
11. Zemel MB, Shi H, Greer B, Dirienzo D, Zemel PC. Regulation of adiposity by dietary calcium. FASEB J 2000; 14: 1132-8.
12. Loos RJ, Rankinen T, Leon AS, Skinner JS, Wilmore JH, Rao DC, Bouchard C. Calcium intake is associated with adiposity in Black and White men and White women of the HERITAGE Family Study. J Nutr 2004; 134: 1772-8.
13. Mirmiran P, Esmaillzadeh A, Azizi F. Dairy consumption and body mass index: an inverse relationship. Int J Obes (Lond.) 2005; 29: 115-21.
14. Marques-Vidal P, Gonçalves A, Dias CM. Milk intake is inversely related to obesity in men and in young women: data from the Portuguese Health Interview Survey 1998–1999. Int J Obes (Lond.) 2006; 30: 88-93.
15. Rosell M, Hakansson NN, Wolk A. Association between dairy food consumption and weight change over 9 y in 19,352 perimenopausal women. Am J Clin Nutr 2006; 84: 1481-8.
16. Czerwonogrodzka-Senczyna A, Rymkiewicz-Kluczyńska B. Wpływ suplementacji diety wapniem na zmiany masy ciała oraz czynniki zespołu metabolicznego. Endokrynol Ped 2010; 9: 87-92.
17. WHO. Geneva: World Health Organization; 2006. Global database on Body Mass Index: BMI Classification.
18. AACE/ACE Obesity Task Force. AACE/ACE position statement on the prevention, diagnosis, and treatment of obesity. Endocrine Pract 1998; 4: 297-349.
19. Szymelfejnik EJ, Wądołowska L, Cichon R, Przysławski J, Bolesławska I. Dairy products frequency questionnaire (ADOS-Ca) calibration for calcium intake evaluation. Pol J Food Nutr Sci 2006; 15: 229-36.
20. Moctezuma-Velázquez C, Aguirre-Valadez J. Gastrointestinal and hepatic diseases. Gac Med Mex 2016; 152: 74-83.
21. Eagan MS, Lyle RM, Gunther CW, Peacock M, Teegarden D. Effect of 1-year dairy product intervention on fat mass in young women: 6-month follow-up. Obesity 2006; 14: 2242-8.
22. Jacqmain M, Doucet E, Després JP, Bouchard C, Tremblay A. Calcium intake, body composition, and lipoproteinlipid concentrations in adults. Am J Clin Nutr 2003; 77: 1448-52.
23. Heiss CJ, Shaw SE, Carothers L. Association of calcium intake and adiposity in postmenopausal women. J Am Coll Nutr 2008; 27: 260-6.
24. Hlavata K. Calcium, dairy products and weight reduction. Cas Lek Cesk 2014; 153: 238-41.
25. Correa-Rodríguez M, Rio-Valle JS, González-Jiménez E, Rueda-Medina B. The effects of body composition, dietary intake, and physical activity on calcaneus quantitative ultrasound in Spanish young adults. Biol Res Nurs 2016; 18: 439-44.
26. Nezami M, Segovia-Siapco G, Beeson WL, Sabate J. Associations between consumption of dairy foods and anthropometric indicators of health in adolescents. Nutrients 2016; 8: 427.
27. Schwingshackl L, Hoffmann G, Schwedhelm C, Kalle Uhlmann T, Missbach B, Knuppel S, Boeing H. Consumption of dairy products in relation to changes in anthropometrics variables in adult populations: a systematic review and meta-analysis of cohort studies. PLoS One 2016; 11: e0157461.
28. Jones KW, Eller LK, Parnell JA, Doyle-Baker PK, Edwards AL, Reimer RA. Effect of a dairy- and calcium-rich diet on weight loss and appetite during energy restriction in overweight and obese adults: a randomized trial. Eur J Clin Nutr 2013; 67: 371-6.
29. Salehi-Abargouei A, Janghorbani M, Salehi-Marzijarani M, Esmaillzadeh A. Effect of dairy consumption on weight and body composition in adults: a systematic review and meta-analysis of randomized controlled clinical trials. Int J Obes 2012; 36: 1485-93.
30. Harvey-Berino J, Gold BC, Lauber R, Starinski A. The impact of calcium and dairy product consumption on weight loss. Obes Res 2005; 13: 1720-6.
31. Gunther CW, Legowski PA, Lyle RM, McCabe GP, Eagan MS, Peacock M, Teegarden D. Dairy products do not lead to alterations in body weight or fat mass in young women in a 1-year intervention. Am J Clin Nutr 2005; 81: 751-6.
32. Dicker D, Belnic Y, Goldsmith R, Kaluski DN. Relationship between dietary calcium intake, body mass index, and waist circumference in MABAT – the Israeli National Health and Nutrition Study. Isr Med Assoc J 2008; 10: 512-5.
33. Boon N, Koppes LLJ, Saris WHM, Van Mechelen W. The relation between calcium intake and body composition in a Dutch population. The Amsterdam Growth and Health Longitudinal Study. Am J Epidemiol 2005; 162: 27-32.
34. Reid IR, Horne A, Mason B, Ames R, Bava U, Gamble GD. Effects of calcium supplementation on body weight and blood pressure in normal older women: a randomized controlled trial. J Clin Endocrinol Metab 2005; 90: 3824-9.
35. Jensen LB, Kollerup G, Quaade F, Sorensen OH. Bone minerals changes in obese women during a moderate weight loss with and without calcium supplementation. J Bone Miner Res 2001; 16: 141-7.
36. Bowen J, Noakes M, Clifton PM. Effect of calcium and dairy food in high protein, energy-restricted diets on weight loss and metabolic parameters in overweight adults. Int J Obes (Lond) 2005; 29: 957-65.
37. Phillips SM, Bandini LG, Cyr H, Colclough-Douglas S, Naumova E, Must A. Dairy food consumption and body weight and fatness studied longitudinally over the adolescent period. Int J Obes Relat Metab Disord 2003; 27: 1106-13.
38. Wierzejska R, Siuba-Strzelińska M, Jarosz M. Evaluation of dairy products available on the Polish market in the context of nutrient profiles. Clear arguments for reformulation of foodstuffs. Rocz Panstw Zakl Hig 2017; 68: 43-50.
39. Bronner F, Pansu D. Nutritional aspects of calcium absorption. J Nutr 1999; 129: 9-12.
40. Wieliczko M, Matuszkiewicz-Rowińska J. Homeostaza wapnia. Wiad Lek 2013; 66: 299-302.

Address for correspondence:

Przemysław Zając
Nursing Department
Institute of Health Sciences
State Higher Vocational School
ul. Mickiewicza 8, Tarnow, Poland
Phone: +48 517 600 701
Fax: +48 517 600 701
E-mail: zajac.przemyslaw@interia.pl
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