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Article

Trends in Calcium Intake among the US Population: Results from the NHANES (1999–2018)

by
Zhongyi Yu
1,†,
Yaqi Li
1,†,
Djibril M. Ba
2,
Susan J. Veldheer
3,
Liang Sun
1,
Tingting Geng
4,* and
Xiang Gao
1,*
1
Department of Nutrition and Food Hygiene, Institute of Nutrition, School of Public Health, Fudan University, Shanghai 200032, China
2
Department of Public Health Sciences, Penn State College of Medicine, Hershey, PA 17033, USA
3
Department of Family and Community Medicine, Penn State College of Medicine, Hershey, PA 17033, USA
4
Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
*
Authors to whom correspondence should be addressed.
†
These authors contributed equally to this work.
Nutrients 2024, 16(5), 726; https://doi.org/10.3390/nu16050726
Submission received: 16 January 2024 / Revised: 27 February 2024 / Accepted: 28 February 2024 / Published: 2 March 2024
(This article belongs to the Special Issue Public Health, Nutritional Behavior and Nutritional Status)
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Abstract

:
Inadequate calcium intake is common in the US. Trends in calcium intake among the US population have been less studied, especially in more recent years. We used data from the National Health and Nutrition Examination Survey (NHANES) 1999–2000 to 2017–2018 to study trends in calcium derived from diet and dietary supplements among the US population aged 2 years, stratified by sex, age group, race, and ethnicity. Among the 80,880 participants included in our study, a substantial portion consistently lacked sufficient calcium intake, even when considering calcium from supplements. Concerning trends were observed over the more recent ten years (2009–2018), with decreased dietary calcium intake and no significant improvement in the prevalence of dietary calcium intake < Estimated Average Requirement (EAR) or the prevalence of taking calcium-containing dietary supplements among them. Decreasing trends in dietary calcium intake were more concerning among men, children, and non-Hispanic Whites. Attention should be given to subgroups with higher calcium intake requirements (e.g., 9–18 years and 60+ years), and subgroups with low levels of dietary calcium and a low prevalence of obtaining calcium from dietary supplements (e.g., the non-Hispanic Black subgroup). Concerning trends of calcium intake were observed among the US population from 2009 to 2018. Tailored guidance on dietary choices and dietary supplement use is required to change consumers’ behaviors.

1. Introduction

Calcium plays a crucial role in many aspects of human health, including the formation and metabolism of bones, the activation of clotting factors, and the regulation of blood pressure and nerve functions [1,2,3,4,5,6]. Dietary calcium deficiency is a worldwide public health concern [7,8,9,10,11]. In the United States (US), it was reported that 42% of Americans failed to reach their estimated average requirements (EARs) for calcium, based on data from the National Health and Nutrition Examination Survey (NHANES) 2009–2010 [12]. Calcium was classified as one of the four dietary components of public health concern for the general US population [13].
While the insufficient intake of calcium has been emphasized in many previous studies [12,13,14,15,16,17], the trends of calcium intake and hence whether such a concerning situation has been improved are less studied. It was briefly mentioned in Dietary Data Brief No. 13 (2014) (https://www.ncbi.nlm.nih.gov/books/NBK589560/, accessed on 2 May 2023) that the dietary calcium intake among the US population increased to around 85 to 190 mg from 1994 to 2010, but no more detail was reported [12]. Previous reports on the trends observed in the consumption of ultra-processed food [18,19], water and beverages [20,21,22,23,24,25], and the intake of added sugar [26,27] have suggested changes in dietary choices among the US population over the past two decades. An assessment based on the NHANES 2003–2006 showed that dietary supplement use among the US population was not sufficient in helping them meet their recommended calcium intake levels [17]. Previous studies suggested that the prevalence of dietary supplement use among the US population increased from 1986 to 2018 [28,29,30]. Supplemental calcium intake was reported to increase from 1999 to 2007–2010 with a subsequent decrease until 2014, but the evaluation did not include supplemental and dietary intake together [31]. Consequently, it was unclear how many individuals with insufficient dietary calcium intake used supplements.
To address these research gaps, we aimed to assess the trends in calcium intake, with and without dietary supplements, over 20 years from 1999–2000 to 2017–2018 in the US population, using data from the NHANES. Data on such past trends among the population and subgroups of particular interest would be a critical prerequisite for policymakers to make scientific and successful communication strategies that could lead to behavioral changes to move toward healthier dietary patterns.

2. Materials and Methods

2.1. Data Source and Study Population

The NHANES is a repetitive cross-sectional survey with a complex, multistage probability sample design. It is conducted by the National Center for Health Statistics (NCHS) to obtain health-related information about the civilian, noninstitutionalized population in the US. Details of the study design, protocol, and data collection were described elsewhere [32]. The protocols were approved by the NCHS Ethics Review Board. For individuals aged 2–17 years old, parental/guardian written informed consent was obtained [33,34,35].
In the current study, we included individuals aged two years or older who had complete and valid data on the first-day 24-hour dietary recall during the ten cycles of the NHANES between 1999–2000 and 2017–2018. Previous studies showed disparity in dietary patterns by sex, age, race, and ethnicity [14,36,37,38,39]. Therefore, the potential differences in dietary patterns among subpopulations with different sociodemographic factors were investigated. To allow for tailored communication strategies, we examined the data overall and by age group, sex, race, and ethnicity. Considering that different dietary recommendations are given to people at different life stages, we defined the age groups according to Dietary Guidelines for Americans 2020–2025 [13], with modification: Children aged 2–18 years old were divided into the age groups of 2–8 years old and 9–18 years old according to previous studies [26,40]. This resulted in four age groups: children aged 2–8 years old, children aged 9–18 years old, adults aged 19–59 years old, and older adults aged 60 years old or above. To reduce the impact of extreme records, the 82,534 sample persons were divided into eight subgroups by sex and age group. The top and bottom 1% for energy intake among each of the subgroups were further excluded from this study, resulting in 80,880 sample persons in total. The overall response rate was 86.2% (see Figure A1).

2.2. Dietary Calcium Intake Assessment

Dietary intake data and data on the calcium derived from individual foods were obtained from the 24 h dietary recall survey data “Dietary Interview—Individual Foods”. For survey cycles from 2003–2004 to 2017–2018, when two 24-h dietary recalls were performed, only the first day’s 24-h dietary recall data was included in this study to keep data consistent across all survey cycles [19,41,42]. Each sample person was assigned his/her EAR, recommended dietary allowance (RDA), and tolerable upper intake level (UL), based on his/her sex, age, and pregnancy and lactation status, according to dietary reference intakes (DRIs) determined by Institute of Medicine of the National Academies [43] (see Table A1). Only sample persons clearly self-reported to be pregnant or breastfeeding a child were assigned pregnant/lactating DRIs. Those whose responses were reported as “refused”, “don’t know” or “missing” were assumed to be not pregnant/breastfeeding. The dietary and total calcium intake of each sample person was compared with his/her DRIs to classify the sample person’s diet as “<EAR”, “≥EAR, <RDA”, “≥RDA, ≤UL”, or “>UL”. Seven subpopulations with different DRIs were defined based on age and sex: children aged 2–3 years old, 4–8 years old, and 9–18 years old; adults aged 19–50 years old; men aged 51–70 years old; men aged above 70 years old; and women aged above 50 years old.

2.3. Dietary Supplementation of Calcium

Each sample person was asked to report any dietary supplement taken within the last 30 days. For each dietary supplement reported, its ingredient list was screened for the keyword “calcium”. Any supplement with any ingredient name with “calcium” (e.g., calcium, calcium phosphate, etc.) was considered a calcium-containing dietary supplement. This was then used to identify sample persons whose dietary calcium intake did not reach their EARs and who did not take calcium-containing supplements (“<EAR, no supplement” group).
From the 2007–2008 survey cycle and onward, data were available on the total calcium derived from dietary supplements on the day of the 24 h dietary recall. The total calcium intake (dietary and dietary supplement) was calculated and compared to DRIs to identify populations whose calcium intake was still insufficient, as well as those exceeding their ULs.

2.4. Statistical Analysis

All analyses were conducted according to the NHANES analytical guidelines, which include sampling weights, stratification, and clustering, to account for the complex NHANES sampling design and ensure nationally representative estimates [18,19,20,44]. For each survey cycle, the weighted percentage of the population falling into different categories (such as the categories established by comparing their intake with their DRIs) with 95% confidence intervals were calculated using Proc Surveyfreq (SAS Institute). The weighted mean daily calcium intake, quartiles, and their respective 95% confidence intervals were calculated using Proc Surveymeans (SAS Institute). The absolute difference was calculated by comparing the weighted mean daily calcium intake from 1999–2000 to 2017–2018. The p values for trends were estimated by making the survey cycle a continuous variable and testing it with a linear regression model using Proc Surveyreg (SAS Institute). The speed of the increasing/decreasing trend of calcium intake was presented using the point estimate with 95% confidence intervals of the coefficient of the linear regression and converted to mg/10 years. Day-one dietary sample weight was used for calculating the weighted mean calcium intake and the proportions of the population of each survey cycle. Appropriate weights for the combined NHANES survey cycles were used based on the NHANES analytic guidelines to calculate p values for trends over multiple survey cycles [45].
All analyses were conducted with SAS version 9.4 (SAS Institute Inc., Cary, NC, USA), and two-tailed p < 0.05 was considered statistically significant. Given the potential for type I error due to multiple comparisons, outcomes for stratified analyses should be interpreted as exploratory.

3. Results

After excluding 11,325 participants without valid first-day 24 h dietary recall and 1654 participants with extreme energy intake (those falling under the top and bottom 1% energy intake within each sex and age group), data from a total of 80,880 individuals were analyzed. There were 12,768 participants aged 2–8 years old, 19,196 aged 9–18 years old, 34,043 aged 19–59 years old, and 16,527 aged 60 years or above. Details of the unweighted sample sizes in each survey cycle and among each subgroup are listed in Table 1 and Figure A1.

3.1. Dietary Calcium Intake

The mean daily dietary calcium intake increased from 848 ± 28.6 mg/d in 1999–2000 to 1022 ± 13.7 mg/d in 2009–2010 but then slightly dropped to 966 ± 24.2 mg/d in 2017–2018 (Table 2, Figure 1). Both the increase in 1999–2008 (118 ± 56.4 mg/d·10 years−1) and the decrease in 2009–2018 (−83.2 ± 36.3 mg/d·10 years−1) were statistically significant, with an overall significantly increasing trend observed in the 1999–2018 period (59.0 ± 15.9 mg/d·10 years−1) (Table 3).
When stratified by sex, age group, race, and ethnicity, men, children aged 9–18 years old, non-Hispanic Whites, and Mexican Americans had relatively higher dietary calcium intake. Across the ten survey cycles, women, adults aged 60+ years, and non-Hispanic Blacks consistently exhibited the lowest dietary calcium intake within their demographic subgroups. Among all age groups, adults aged 60+ years experienced the fastest increase in dietary calcium intake during 1999–2008 (136 ± 66.4 mg/d·10 years−1), followed by the slowest decrease in 2009–2018 (−44.9 ± 67.6 mg/d·10 years−1). The most significant decrease in 2009–2018 was observed among children aged 9–18 years (−135 ± 91.0 mg/d·10 years−1), followed by children aged 2–8 years (−130 ± 61.0 mg/d·10 years−1). From 1999 to 2008, the increase in dietary calcium intake was most significant among other Hispanic (183 ± 85.8 mg/d·10 years−1) and non-Hispanic Black (182 ± 57.9 mg/d·10 years−1) groups, followed by Mexican American (105 ± 73.9 mg/d·10 years−1) and non-Hispanic White (104 ± 77.3 mg/d·10 years−1) populations. A similar but not statistically significant increase was observed in other races and ethnicities (123 ± 175 mg/d·10 years−1). From 2009 to 2018, a significant decrease in dietary calcium intake was only observed among non-Hispanic Whites (−111 ± 46.2 mg/d·10 years−1) across all the races and ethnicities tested.

3.2. Proportion with Insufficient or Excessive Dietary Calcium Intake

From 1999 to 2018, the proportion of the US population (≥2 years old) not reaching their calcium EAR with their diet dropped from 60.1 ± 3.45% in 1999–2000 to 48.1 ± 2.60% in 2009–2010 but then remained stable until 49.8 ± 2.60% in 2017–2018 (Figure 1, for detailed data, see Table S1A). Similar trends were observed among most subpopulations when stratified by sex, age group, race, and ethnicity. Women, children aged 9–18 years old, adults aged 60+ years old, other Hispanics, non-Hispanic Blacks, and other races and ethnicities consistently had over 50% of the subpopulation with insufficient dietary calcium intake over the ten survey cycles tested. We did not observe notable improvement in the prevalence of dietary calcium less than EARs in any strata tested (by sex, age group, race, and ethnicity) since 2009–2010 (Table S1A). A small proportion of the population had dietary calcium above UL, fluctuating from 1.34 ± 0.35% in 1999–2000 to 3.48 ± 0.83% in 2009–2010, then to 2.54 ± 0.67% in 2017–2018. The quartiles of dietary calcium intake among subpopulations with different DRIs are presented in Figure A2, according to which children aged 9–18 years old, men aged above 70 years old, and women aged above 50 years old consistently had median dietary calcium intake below their EARs.
Among those whose dietary calcium intake failed to reach their EARs, the proportion of those with any calcium-containing dietary supplement taken within the past 30 days slightly increased from 37.0 ± 3.91% in 1999–2000 to 43.7 ± 2.79% in 2005–2006 but then declined to 33.3 ± 2.39% in 2017–2018 (Table S1B). This prevalence was lower among men, children aged 2–8 years old and 9–18 years old, Mexican Americans, other Hispanics, and non-Hispanic Blacks. Men, adults aged 60+ years, and non-Hispanic Whites consistently had the highest rate of dietary supplement use within their demographic subgroups.

3.3. Total Daily Calcium Intake

When the calcium intakes derived from diet and dietary supplements on the same day were combined (from 2007–2008 to 2017–2018 due to data availability), the overall daily calcium intake increased from 1081 ± 55.3 mg/d in 2007–2008 to 1160 ± 16.5 mg/d in 2009–2010 and then decreased to 1061 ± 25.5 mg/d in 2017–2018 (Table 2). Similar decreasing trends were observed among most strata, with the most significant decrease in 2009–2018 observed among non-Hispanic Whites (−170 ± 49.7 mg/d·10 years−1). Men, adults aged 60+ years, and non-Hispanic Whites consistently had the highest calcium intake, while women, children aged 2–8 years, and non-Hispanic Blacks consistently had the lowest calcium intake among their demographic subgroups. The proportion of the US population whose daily calcium intake did not reach their EARs dropped from 43.7 ± 3.93% in 2007–2008 to 39.7 ± 1.29% in 2009–2010 but then increased again to 44.1 ± 2.45% in 2017–2018 (Figure 2, Table S2). Among the four age groups included in this study, children aged 9–18 years old consistently had the highest proportion with total calcium intake (from diet and dietary supplements) lower than their EARs, followed by adults aged 60+ years. Non-Hispanic Blacks, followed by other races and ethnicities, had the highest proportion of participants with insufficient calcium intake among the four racial groups studied. This proportion was consistently the lowest among men, children aged 2–8 years, and non-Hispanic Whites among all demographic subgroups across the ten survey cycles. The proportion of those who reached their UL fluctuated between 4.69 ± 1.18% in 2015–2016 and 6.99 ± 0.89% in 2009–2010. The quartiles of total calcium intake among subpopulations with different DRIs are presented in Figure A3.

4. Discussion

In this nationally representative sample of the US population with data from 1999 to 2018, a consistently large proportion of the population had insufficient dietary calcium intake, even after including the calcium derived from dietary supplements. From 1999 to 2018, the dietary calcium intake level increased but then decreased since it peaked in 2009–2010. The trends observed over the more recent ten-year period (2009–2018) are concerning: (1) no significant improvement was observed in the prevalence of dietary calcium intake < EAR; (2) the mean dietary calcium intake decreased significantly; and (3) no improvement was observed in the prevalence of calcium-containing dietary supplement use among those whose dietary calcium intake failed to reach their EARs.
Similar trends were observed among most of the strata tested (by age groups, sex, race, and ethnicity). The increasing trend from 1999–2000 to 2007–2008 was significant among all the strata tested, except for other races and ethnicities. Compared to men, women had relatively lower dietary calcium intake but were more likely to take calcium-containing dietary supplements when their dietary calcium intake alone was not sufficient for them to meet their EARs. Among the four age groups, the decreasing trends in calcium consumption from 2009 to 2018 were most notable among children (both aged 9–18 years old and 2–8 years old), which should be brought to attention. Although children aged 9–18 years old had relatively higher dietary calcium intake, they had the highest proportion of participants with insufficient calcium intake due to their high calcium requirements and lower rates of calcium-containing dietary supplement use. Adults aged 19–59 years old had the fastest increase from 1999 to 2008 and the slowest decrease from 2009 to 2018. However, this age group still consistently had the lowest dietary calcium intake. This age group also consistently had the highest rate of calcium-containing dietary supplement use, making them the subgroup with the highest values in terms of total calcium intake. However, this subgroup still had the second highest rate of insufficient calcium intake due to their higher EARs.
Non-Hispanic Blacks, followed by other races and ethnicities, consistently had the highest proportion of participants with insufficient calcium intake (from diet and dietary supplements) from 2007 to 2018. Non-Hispanic Blacks not only had low dietary calcium intake but also had a lower proportion of calcium-containing dietary supplement use among those with insufficient dietary calcium intake. Both Mexican Americans and non-Hispanic Whites had relatively higher dietary calcium intake across all racial groups, together with similar increasing rates in 1999–2008. However, dietary calcium intake significantly decreased in 2009–2018 among non-Hispanic Whites but not in other racial groups. Compared to non-Hispanic Whites, Mexican Americans were less likely to obtain additional calcium from dietary supplements when their dietary calcium intake was insufficient, which explained their higher rate of insufficient total calcium intake. Among the racial groups tested, the sharp decrease observed in dietary calcium intake from 2009–2010 to 2017–2018 among non-Hispanic Whites should also be brought to attention.
While concerns regarding calcium deficiency among the US population have been clearly established previously [12,13,14,15,16,17], the results reported in this study reveal a concerning decline in calcium intake among the US population since the 2009–2010 survey cycle, immediately after an increasing trend was reported according to a previous study [12]. This highlights the urgent need for effective measures to improve the dietary patterns of those who fail to reach their calcium EARs and to encourage the use of calcium-containing dietary supplements among those needed. The stratified analysis revealed different patterns across each demographic subgroup, which helps to identify those subgroups in need of better guidance on their food choices and/or dietary supplement use. This includes subpopulations not making enough effort to fulfill their increased need for calcium at critical life stages (such as children aged 9–18 years old), subpopulations with relatively lower proportions not reaching their EARs but showing concerning trends that need behavior adjustment (such as children aged 2–8 years old), and subpopulations with consistently lower proportion meeting their EARs who need urgent interventions (such as the non-Hispanic Black subgroup). This helps policymakers in making tailored messages and measures for targeted subgroups that might be more successful in changing people’s perceptions and behaviors [46,47,48]. For example, messages given at certain events or places are more likely to reach certain subpopulations of interest. Social media has made it easier to push relevant messages to specific audiences. Calcium intake from diet and dietary supplements might be influenced by multiple factors such as culture, food preferences, health status, family income, education, environment, knowledge of nutrition science, and perception of certain foods and dietary supplements. Further analyses of trends in calcium-rich foods and the influence of potential factors are required to reveal the underlying changes in dietary choices that led to the trends observed in this study. Those who have difficulty in reaching their EARs with dietary calcium intake alone should be identified to support better guidance on dietary supplement use. This would further assist policymakers in understanding consumer food choices and deliver targeted and effective messages to guide different subpopulations. Even though dietary supplements were used by more US residents from 2007 to 2018, we did not observe any improvement in reducing calcium deficiency. Considering the coexistence of excessive calcium intake and supplement use among a small proportion of the population, individuals in this category should be carefully guided on their dietary supplement use to achieve better public health outcomes.
Limitations should be noted when interpreting the results of this study. As a cross-sectional study, the trends reported here could be partially explained by the cohort effect. For example, the generation falling under the 2–8-year-old age group in the 1999–2000 survey cycle would become part of the 19–59-year-old age group in the 2017–2018 survey cycle. Insufficient calcium intake was determined in this study as a calcium intake level that failed to reach the EAR level. It should be emphasized that the EAR level, by definition, reflects the estimated median requirement for a defined group of persons [43]. The mean calcium intake level reported in the subgroup analysis should not be compared with RNIs, as most of the subgroups presented in this study would have mixed RNIs. The subgroup including other races and ethnicities was less represented and was composed of many different races and ethnicities, which made their trends less clearly presented in this study. Considering that this subgroup had the second highest rate of insufficient calcium intake across all race and ethnicity strata, further study is required to identify minor races and ethnicities of concern. This study focused on calcium consumption alone but did not look at the bioavailability of the calcium consumed. Different forms of calcium and other nutrients consumed such as magnesium, phosphate, vitamin D, and casein phosphopeptides could all influence the health outcomes of calcium consumption and should be analyzed and discussed in future studies [49,50,51,52,53,54,55,56,57].

5. Conclusions

This study provides a nationally representative estimate of the calcium intake level and its sources among the US population aged 2 years or older over a 20-year period (1999 to 2018). A large proportion of the US population had insufficient calcium intake, but trends in more recent years were more concerning. Different trends were observed among certain subgroups, highlighting the need for tailored guidance.

Supplementary Materials

The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/nu16050726/s1, Table S1A: Dietary calcium intake distribution (weighted) across DRIs among the US population, from 1999–2000 to 2017–2018; Table S1B: Prevalence of calcium-containing dietary supplement use among the US population with dietary calcium intake lower than their EARs, from 1999–2000 to 2017–2018; Table S2: Dietary and dietary supplement calcium intake distribution (weighted) across DRIs among the US population, from 2007–2008 to 2017–2018.

Author Contributions

Conceptualization, Z.Y. and X.G.; methodology, L.S. and D.M.B.; software, Z.Y. and D.M.B.; validation, Z.Y., Y.L. and S.J.V.; formal analysis, Z.Y.; data curation, Z.Y. and S.J.V.; writing—original draft preparation, Z.Y. and Y.L.; writing—review and editing, Y.L., D.M.B., S.J.V., L.S. and T.G.; visualization, Z.Y.; supervision, T.G. and X.G.; project administration, X.G.; funding acquisition, Y.L, T.G. and X.G. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by the Startup Grant at Fudan University, grant numbers JIF201015Y and JIF201018Y. S. Veldheer is funded by the National Center for Advancing Translational Sciences, Grant KL2 TR002015 and Grant UL1 TR002014. The APC was funded by the Startup Grant at Fudan University.

Institutional Review Board Statement

Ethical review and approval were waived for this study because this study was a secondary analysis of public-use data available without personal identifiers. The survey data collected by the NHANES were approved under the NCHS Research Ethics Review Board (ERB), Protocol No 2011-17.

Informed Consent Statement

Informed consent was obtained from all subjects involved in the study.

Data Availability Statement

Publicly available datasets were analyzed in this study. These data can be found here: https://www.cdc.gov/nchs/nhanes/index.htm (accessed on 2 May 2023).

Acknowledgments

We are grateful to all those who contributed to the establishment and development of the NHANES database and all participants who responded to the survey.

Conflicts of Interest

The authors declare no conflicts of interest.

Appendix A

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Figure A1. Participant flowchart of the study.
Figure A1. Participant flowchart of the study.
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Appendix B

Table A1. Calcium dietary reference intakes (DRIs) by life stage (amount/day).
Table A1. Calcium dietary reference intakes (DRIs) by life stage (amount/day).
Life Stage GroupEARRDAUL
2–3 years old500 mg700 mg2500 mg
4–8 years old800 mg1000 mg2500 mg
9–18 years old *1100 mg1300 mg3000 mg
19–50 years old *800 mg1000 mg2500 mg
Men
 51–70 years old800 mg1000 mg2000 mg
 >70 years old1000 mg1200 mg2000 mg
Women
 >50 years old1000 mg1200 mg2000 mg
Pregnancy or Lactation *
 14–18 years old1100 mg1300 mg3000 mg
 19–50 years old800 mg1000 mg2500 mg
Abbreviations: EAR, estimated average requirement; RDA, recommended dietary allowance; UL, tolerable upper intake level. * For women who are pregnant or breastfeeding a child, DRIs for pregnancy or lactation are applied.

Appendix C

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Figure A2. Weighted quartiles of dietary calcium intake among subpopulations with different dietary reference intake levels. Abbreviations: EAR, estimated average requirement; RDA, recommended dietary allowance; UL, tolerable upper intake level.
Figure A2. Weighted quartiles of dietary calcium intake among subpopulations with different dietary reference intake levels. Abbreviations: EAR, estimated average requirement; RDA, recommended dietary allowance; UL, tolerable upper intake level.
Nutrients 16 00726 g0a2
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Figure A3. Weighted quartiles of total calcium intake (diet and dietary supplements) among subpopulations with different dietary reference intake levels. Abbreviations: EAR, estimated average requirement; RDA, recommended dietary allowance; UL, tolerable upper intake level.
Figure A3. Weighted quartiles of total calcium intake (diet and dietary supplements) among subpopulations with different dietary reference intake levels. Abbreviations: EAR, estimated average requirement; RDA, recommended dietary allowance; UL, tolerable upper intake level.
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References

  1. Cormick, G.; Belizán, J.M. Calcium intake and health. Nutrients 2019, 11, 1606. [Google Scholar] [CrossRef]
  2. Yao, P.; Bennett, D.; Mafham, M.; Lin, X.; Chen, Z.; Armitage, J.; Clarke, R. Vitamin D and calcium for the prevention of fracture: A systematic review and meta-analysis. JAMA Netw. Open 2019, 2, e1917789. [Google Scholar] [CrossRef] [PubMed]
  3. Rizzoli, R.; Biver, E.; Brennan-Speranza, T.C. Nutritional intake and bone health. Lancet Diabetes Endocrinol. 2021, 9, 606–621. [Google Scholar] [CrossRef] [PubMed]
  4. Shen, X.; Gu, X.; Liu, Y.-Y.; Yang, L.; Zheng, M.; Jiang, L. Association between dietary calcium and depression among American adults: National health and nutrition examination survey. Front. Nutr. 2023, 10, 1042522. [Google Scholar] [CrossRef] [PubMed]
  5. Sllamniku Dalipi, Z.; Dragidella, F. Calcium and Vitamin D Supplementation as Non-Surgical Treatment for Periodontal Disease with a Focus on Female Patients: Literature Review. Dent. J. 2022, 10, 120. [Google Scholar] [CrossRef] [PubMed]
  6. Subramaniam, T.; Fauzi, M.B.; Lokanathan, Y.; Law, J.X. The role of calcium in wound healing. Int. J. Mol. Sci. 2021, 22, 6486. [Google Scholar] [CrossRef] [PubMed]
  7. Shlisky, J.; Mandlik, R.; Askari, S.; Abrams, S.; Belizan, J.M.; Bourassa, M.W.; Cormick, G.; Driller-Colangelo, A.; Gomes, F.; Khadilkar, A.; et al. Calcium deficiency worldwide: Prevalence of inadequate intakes and associated health outcomes. Ann. N. Y. Acad. Sci. 2022, 1512, 10–28. [Google Scholar] [CrossRef] [PubMed]
  8. Fleming, K.H.; Heimbach, J.T. Consumption of calcium in the US: Food sources and intake levels. J. Nutr. 1994, 124, 1426S–1430S. [Google Scholar] [CrossRef] [PubMed]
  9. Ajong, A.B.; Kenfack, B.; Ali, I.M.; Yakum, M.N.; Ukaogo, P.O.; Mangala, F.N.; Aljerf, L.; Telefo, P.B. Calcium supplementation in pregnancy: An analysis of potential determinants in an under-resourced setting. PLoS ONE 2023, 18, e0292303. [Google Scholar] [CrossRef]
  10. Sutter, D.O.; Bender, N. Nutrient status and growth in vegan children. Nutr. Res. 2021, 91, 13–25. [Google Scholar] [CrossRef]
  11. Beal, T.; White, J.M.; Arsenault, J.E.; Okronipa, H.; Hinnouho, G.-M.; Murira, Z.; Torlesse, H.; Garg, A. Micronutrient gaps during the complementary feeding period in South Asia: A Comprehensive Nutrient Gap Assessment. Nutr. Rev. 2021, 79, 26–34. [Google Scholar] [CrossRef]
  12. Hoy, M.K.; Goldman, J.D. Calcium intake of the US population: What we eat in America, NHANES 2009–2010. In FSRG Dietary Data Briefs; United States Department of Agriculture (USDA): Beltsville, MD, USA, 2014. [Google Scholar]
  13. U.S. Department of Agriculture; U.S. Department of Health and Human Services. Dietary Guidelines for Americans, 2020–2025; U.S. Department of Agriculture: Washington, DC, USA, 2020.
  14. Cifelli, C.J.; Fulgoni, K.; Fulgoni, V.L., III; Hess, J.M. Disparity in Dairy Servings Intake by Ethnicity and Age in NHANES 2015–2018. Curr. Dev. Nutr. 2023, 7, 100010. [Google Scholar] [CrossRef] [PubMed]
  15. Ma, J.; Johns, R.A.; Stafford, R.S. Americans are not meeting current calcium recommendations. Am. J. Clin. Nutr. 2007, 85, 1361–1366. [Google Scholar] [CrossRef]
  16. Morgan, K.J.; Stampley, G.; Zabik, M.; Fischer, D.R. Magnesium and calcium dietary intakes of the US population. J. Am. Coll. Nutr. 1985, 4, 195–206. [Google Scholar] [CrossRef]
  17. Mangano, K.M.; Walsh, S.J.; Insogna, K.L.; Kenny, A.M.; Kerstetter, J.E. Calcium intake in the United States from dietary and supplemental sources across adult age groups: New estimates from the National Health and Nutrition Examination Survey 2003–2006. J. Am. Diet. Assoc. 2011, 111, 687–695. [Google Scholar] [CrossRef]
  18. Juul, F.; Parekh, N.; Martinez-Steele, E.; Monteiro, C.A.; Chang, V.W. Ultra-processed food consumption among US adults from 2001 to 2018. Am. J. Clin. Nutr. 2022, 115, 211–221. [Google Scholar] [CrossRef] [PubMed]
  19. Wang, L.; Steele, E.M.; Du, M.; Pomeranz, J.L.; O’Connor, L.E.; Herrick, K.A.; Luo, H.; Zhang, X.; Mozaffarian, D.; Zhang, F.F. Trends in consumption of ultraprocessed foods among US youths aged 2–19 years, 1999–2018. JAMA 2021, 326, 519–530. [Google Scholar] [CrossRef]
  20. Vieux, F.; Maillot, M.; Rehm, C.D.; Barrios, P.; Drewnowski, A. Trends in tap and bottled water consumption among children and adults in the United States: Analyses of NHANES 2011–16 data. Nutr. J. 2020, 19, 10. [Google Scholar] [CrossRef] [PubMed]
  21. Marriott, B.P.; Hunt, K.J.; Malek, A.M.; Newman, J.C. Trends in intake of energy and total sugar from sugar-sweetened beverages in the United States among children and adults, NHANES 2003–2016. Nutrients 2019, 11, 2004. [Google Scholar] [CrossRef]
  22. Drewnowski, A.; Rehm, C.D.; Constant, F. Water and beverage consumption among adults in the United States: Cross-sectional study using data from NHANES 2005–2010. BMC Public Health 2013, 13, 1068. [Google Scholar] [CrossRef]
  23. Drewnowski, A.; Rehm, C.D.; Constant, F. Water and beverage consumption among children age 4–13y in the United States: Analyses of 2005–2010 NHANES data. Nutr. J. 2013, 12, 85. [Google Scholar] [CrossRef] [PubMed]
  24. Della Corte, K.; Fife, J.; Gardner, A.; Murphy, B.L.; Kleis, L.; Della Corte, D.; Schwingshackl, L.; LeCheminant, J.D.; Buyken, A.E. World trends in sugar-sweetened beverage and dietary sugar intakes in children and adolescents: A systematic review. Nutr. Rev. 2021, 79, 274–288. [Google Scholar] [CrossRef] [PubMed]
  25. Dai, J.; Soto, M.J.; Dunn, C.G.; Bleich, S.N. Trends and patterns in sugar-sweetened beverage consumption among children and adults by race and/or ethnicity, 2003–2018. Public Health Nutr. 2021, 24, 2405–2410. [Google Scholar] [CrossRef] [PubMed]
  26. Ricciuto, L.; Fulgoni, V.L., III; Gaine, P.C.; Scott, M.O.; DiFrancesco, L. Trends in added sugars intake and sources among US children, adolescents, and teens using NHANES 2001–2018. J. Nutr. 2022, 152, 568–578. [Google Scholar] [CrossRef] [PubMed]
  27. DiFrancesco, L.; Fulgoni, V.L., III; Gaine, P.C.; Scott, M.O.; Ricciuto, L. Trends in added sugars intake and sources among US adults using the National Health and Nutrition Examination Survey (NHANES) 2001–2018. Front. Nutr. 2022, 9, 897952. [Google Scholar] [CrossRef] [PubMed]
  28. Kim, H.J.; Giovannucci, E.; Rosner, B.; Willett, W.C.; Cho, E. Longitudinal and secular trends in dietary supplement use: Nurses’ health study and health professionals follow-up study, 1986–2006. J. Acad. Nutr. Diet. 2014, 114, 436–443. [Google Scholar] [CrossRef] [PubMed]
  29. Kantor, E.D.; Rehm, C.D.; Du, M.; White, E.; Giovannucci, E.L. Trends in dietary supplement use among US adults from 1999–2012. JAMA 2016, 316, 1464–1474. [Google Scholar] [CrossRef]
  30. Cowan, A.E.; Tooze, J.A.; Gahche, J.J.; Eicher-Miller, H.A.; Guenther, P.M.; Dwyer, J.T.; Potischman, N.; Bhadra, A.; Carroll, R.J.; Bailey, R.L. Trends in overall and micronutrient-containing dietary supplement use in US adults and children, NHANES 2007–2018. J. Nutr. 2022, 152, 2789–2801. [Google Scholar] [CrossRef]
  31. Rooney, M.R.; Michos, E.D.; Hootman, K.C.; Harnack, L.; Lutsey, P.L. Trends in calcium supplementation, National Health and Nutrition Examination Survey (NHANES) 1999–2014. Bone 2018, 111, 23–27. [Google Scholar] [CrossRef]
  32. National Center for Health Statistics. About the National Health and Nutrition Examination Survey. Available online: https://www.cdc.gov/nchs/nhanes/about_nhanes.htm (accessed on 2 May 2023).
  33. Centers for Disease Control and Prevention. National Health and Nutrition Examination Survey—Survey Participants. Available online: https://www.cdc.gov/nchs/nhanes/participant/participant-confidentiality.htm (accessed on 2 May 2023).
  34. Centers for Disease Control and Prevention. National Health and Nutrition Examination Survey—NCHS Ethics Review Board (ERB) Approval. Available online: https://www.cdc.gov/nchs/nhanes/irba98.htm (accessed on 2 May 2023).
  35. Centers for Disease Control and Prevention. National Health and Nutrition Examination Survey—Examination Consent. Available online: https://www.cdc.gov/nchs/data/nhanes/nhanes_01_02/nh.cnstbrch.pdf (accessed on 2 May 2023).
  36. Millen, B.E.; Quatromoni, P.A.; Gagnon, D.R.; Cupples, L.A.; Franz, M.M.; D’Agostino, R.B. Dietary patterns of men and women suggest targets for health promotion: The Framingham Nutrition Studies. Am. J. Health Promot. 1996, 11, 42–52. [Google Scholar] [CrossRef] [PubMed]
  37. Rosinger, A.Y.; Patel, A.I.; Weaks, F. Examining recent trends in the racial disparity gap in tap water consumption: NHANES 2011–2018. Public Health Nutr. 2022, 25, 207–213. [Google Scholar] [CrossRef]
  38. Agarwal, S.; Fulgoni, V.L., III. Association of Pork (All Pork, Fresh Pork and Processed Pork) Consumption with Nutrient Intakes and Adequacy in US Children (Age 2–18 Years) and Adults (Age 19+ Years): NHANES 2011–2018 Analysis. Nutrients 2023, 15, 2293. [Google Scholar] [CrossRef]
  39. Overcash, F.; Reicks, M. Diet quality and eating practices among Hispanic/Latino men and women: NHANES 2011–2016. Int. J. Environ. Res. Public Health 2021, 18, 1302. [Google Scholar] [CrossRef] [PubMed]
  40. Qin, Y.; Cifelli, C.J.; Agarwal, S.; Fugoni, V.L. Dairy food consumption is beneficially linked with iodine status in US children and adults: NHANES 2001–2018. Public Health Nutr. 2023, 26, 1828–1839. [Google Scholar] [CrossRef]
  41. Murakami, K.; Livingstone, M.B.E. Prevalence and characteristics of misreporting of energy intake in US children and adolescents: National Health and Nutrition Examination Survey (NHANES) 2003–2012. Br. J. Nutr. 2016, 115, 294–304. [Google Scholar] [CrossRef] [PubMed]
  42. Yang, P.; Rooney, M.R.; Wallace, A.S.; Kim, H.; Echouffo-Tcheugui, J.B.; McEvoy, J.W.; Ndumele, C.; Christenson, R.H.; Selvin, E.; Rebholz, C.M. Associations between diet quality and NT-proBNP in US adults, NHANES 1999–2004. Am. J. Prev. Cardiol. 2023, 16, 100528. [Google Scholar] [CrossRef] [PubMed]
  43. Del Valle, H.B.; Yaktine, A.L.; Taylor, C.L.; Ross, A.C. Dietary Reference Intakes for Calcium and Vitamin D; National Academies Press (US): Washington, DC, USA, 2011. [Google Scholar]
  44. Centers for Disease Control and Prevention. SAS Survey Procedure Tips. Available online: https://wwwn.cdc.gov/nchs/nhanes/tutorials/softwaretips.aspx (accessed on 2 May 2023).
  45. Centers for Disease Control and Prevention. Weighting. Available online: https://wwwn.cdc.gov/nchs/nhanes/tutorials/Weighting.aspx (accessed on 2 May 2023).
  46. Kaptein, M.; De Ruyter, B.; Markopoulos, P.; Aarts, E. Adaptive persuasive systems: A study of tailored persuasive text messages to reduce snacking. ACM Trans. Interact. Intell. Syst. (TiiS) 2012, 2, 10. [Google Scholar] [CrossRef]
  47. Korda, H.; Itani, Z. Harnessing social media for health promotion and behavior change. Health Promot. Pract. 2013, 14, 15–23. [Google Scholar] [CrossRef]
  48. Gough, A.; Hunter, R.F.; Ajao, O.; Jurek, A.; McKeown, G.; Hong, J.; Barrett, E.; Ferguson, M.; McElwee, G.; McCarthy, M. Tweet for behavior change: Using social media for the dissemination of public health messages. JMIR Public Health Surveill. 2017, 3, e6313. [Google Scholar] [CrossRef]
  49. Liu, G.; Sun, S.; Guo, B.; Miao, B.; Luo, Z.; Xia, Z.; Ying, D.; Liu, F.; Guo, B.; Tang, J. Bioactive peptide isolated from casein phosphopeptides promotes calcium uptake in vitro and in vivo. Food Funct. 2018, 9, 2251–2260. [Google Scholar] [CrossRef]
  50. Rosanoff, A.; Weaver, C.M.; Rude, R.K. Suboptimal magnesium status in the United States: Are the health consequences underestimated? Nutr. Rev. 2012, 70, 153–164. [Google Scholar] [CrossRef]
  51. Bonjour, J.-P. Calcium and phosphate: A duet of ions playing for bone health. J. Am. Coll. Nutr. 2011, 30, 438S–448S. [Google Scholar] [CrossRef] [PubMed]
  52. Veldurthy, V.; Wei, R.; Oz, L.; Dhawan, P.; Jeon, Y.H.; Christakos, S. Vitamin D, calcium homeostasis and aging. Bone Res. 2016, 4, 16041. [Google Scholar] [CrossRef] [PubMed]
  53. Sun, S.; Liu, F.; Liu, G.; Miao, J.; Xiao, H.; Xiao, J.; Qiu, Z.; Luo, Z.; Tang, J.; Cao, Y. Effects of casein phosphopeptides on calcium absorption and metabolism bioactivity in vitro and in vivo. Food Funct. 2018, 9, 5220–5229. [Google Scholar] [CrossRef] [PubMed]
  54. Liu, G.; Guo, B.; Sun, S.; Luo, M.; Liu, F.; Miao, J.; Tang, J.; Huang, Y.; Cao, Y.; Song, M. Promoting the Calcium-Uptake Bioactivity of Casein Phosphopeptides in vitro and in vivo. Front. Nutr. 2021, 8, 743791. [Google Scholar] [CrossRef] [PubMed]
  55. Trailokya, A.; Srivastava, A.; Bhole, M.; Zalte, N. Calcium and calcium salts. J. Assoc. Physicians India 2017, 65, 100–103. [Google Scholar] [PubMed]
  56. Zhang, Y.Y.; Stockmann, R.; Ng, K.; Ajlouni, S. Opportunities for plant-derived enhancers for iron, zinc, and calcium bioavailability: A review. Compr. Rev. Food Sci. Food Saf. 2021, 20, 652–685. [Google Scholar] [CrossRef]
  57. Shkembi, B.; Huppertz, T. Calcium absorption from food products: Food matrix effects. Nutrients 2021, 14, 180. [Google Scholar] [CrossRef]
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Figure 1. Dietary calcium intake and its distribution across DRIs among the US population, from 1999–2000 to 2017–2018.
Figure 1. Dietary calcium intake and its distribution across DRIs among the US population, from 1999–2000 to 2017–2018.
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Figure 2. Calcium intake (dietary and supplement) and its distribution across DRIs among the US population, from 2007–2008 to 2017–2018.
Figure 2. Calcium intake (dietary and supplement) and its distribution across DRIs among the US population, from 2007–2008 to 2017–2018.
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Table 1. Demographic overview of the sample persons included.
Table 1. Demographic overview of the sample persons included.
CharacteristicsNo. of Participants (Weighted %) by NHANES Cycle a
1999–2000
(n = 7878)		2001–2002
(n = 8855)		2003–2004
(n = 8099)		2005–2006
(n = 8380)		2007–2008
(n = 8381)		2009–2010
(n = 8922)		2011–2012
(n = 7808)		2013–2014
(n = 7879)		2015–2016
(n = 7738)		2017–2018
(n = 6940)
Sex
  Men3828 (48.6%)4288 (48.7%)3955 (49.1%)4065 (48.8%)4207 (47.9%)4436 (48.7%)3920 (49.4%)3843 (49.3%)3790 (48.7%)3383 (48.7%)
  Women4050 (51.4%)4567 (51.3%)4144 (50.9%)4315 (51.2%)4174 (52.1%)4486 (51.3%)3888 (50.6%)4036 (50.7%)3948 (51.3%)3557 (51.3%)
Age Group
  2–8 years1113 (11.1%)1399 (10.1%)1175 (9.66%)1372 (9.82%)1379 (9.91%)1419 (9.76%)1415 (10.0%)1189 (9.10%)1157 (9.13%)894 (8.90%)
  9–18 years2387 (14.7%)2562 (15.3%)2303 (15.0%)2326 (14.6%)1533 (14.1%)1670 (14.2%)1524 (13.3%)1644 (13.8%)1544 (13.6%)1319 (13.6%)
  19–59 years2873 (57.6%)3400 (58.8%)2987 (57.5%)3306 (57.4%)3553 (58.4%)3958 (57.6%)3390 (57.4%)3530 (57.0%)3395 (56.0%)2969 (55.4%)
  ≥60 years1505 (16.6%)1494 (15.8%)1634 (17.9%)1376 (18.2%)1916 (17.6%)1875 (18.5%)1479 (19.4%)1516 (20.1%)1642 (21.2%)1758 (22.1%)
Race and Ethnicity
  Mexican American2665 (7.60%)2218 (8.47%)1985 (8.95%)2204 (9.35%)1686 (9.59%)1941 (9.90%)1052 (9.70%)1334 (10.8%)1468 (10.7%)1011 (11.0%)
  Other Hispanic467 (7.58%)398 (5.72%)257 (3.30%)269 (2.91%)970 (5.37%)945 (5.59%)809 (6.66%)745 (5.95%)1007 (6.71%)587 (6.88%)
  Non-Hispanic White2686 (67.9%)3770 (69.5%)3402 (70.5%)3294 (69.6%)3490 (67.7%)3847 (65.9%)2495 (63.3%)2985 (62.8%)2495 (61.3%)2423 (59.3%)
  Non-Hispanic Black1784 (11.6%)2133 (11.6%)2119 (12.0%)2207 (12.2%)1878 (12.0%)1657 (12.0%)2167 (12.4%)1697 (11.8%)1653 (11.6%)1600 (11.6%)
  Other race or ethnicity b276 (5.39%)336 (4.68%)336 (5.17%)406 (5.89%)357 (5.34%)532 (6.63%)1285 (7.94%)1118 (8.69%)1115 (9.74%)1319 (11.2%)
Pregnancy c
  Pregnant244 (5.58%)261 (4.65%)223 (4.76%)315 (5.47%)46 (2.25%)48 (2.94%)36 (2.15%)43 (2.59%)48 (3.06%)38 (2.64%)
  Not pregnant492 (36.2%)625 (39.7%)675 (47.1%)781 (50.3%)702 (37.6%)741 (35.2%)542 (32.8%)631 (35.6%)621 (36.9%)577 (39.2%)
  Refused, do not know, or missing1241 (58.2%)1343 (55.7%)1057 (48.1%)1072 (44.2%)1035 (60.1%)1252 (61.9%)1092 (65.1%)1216 (61.8%)1106 (60.1%)898 (58.2%)
Lactation c
  Currently breastfeeding42 (1.60%)61 (2.74%)50 (2.45%)49 (2.23%)30 (1.65%)32 (1.11%)21 (1.58%)40 (2.73%)41 (2.36%)38 (2.65%)
  Not breastfeeding155 (7.28%)175 (6.54%)115 (4.79%)162 (6.12%)99 (4.95%)113 (5.01%)69 (3.27%)101 (6.87%)118 (7.36%)102 (8.80%)
  Refused, do not know, or missing1780 (91.1%)1993 (90.7%)1790 (92.8%)1957 (91.6%)1654 (93.4%)1896 (93.9%)1580 (95.2%)1749 (90.4%)1616 (90.3%)1373 (88.6%)
Abbreviations: NHANES, National Health and Nutrition Examination Survey. a Percentages were adjusted for NHANES weights to generate nationally representative percentages; b included multiracial/ethnic groups; c among women aged 14 to 50 years.
Table 2. Mean daily calcium intake among the US population, from 1999–2000 to 2017–2018.
Table 2. Mean daily calcium intake among the US population, from 1999–2000 to 2017–2018.
Mean Daily Dietary Calcium Intake (mg/d), (95% CI)
1999–20002001–20022003–20042005–20062007–20082009–20102011–20122013–20142015–20162017–2018
Total Diet
  Men948 (919, 977)1019 (977, 1061)1024 (986, 1062)1056 (1022, 1089)1041 (996, 1085)1141 (1116, 1165)1135 (1093, 1177)1091 (1066, 1116)1060 (1024, 1096)1079 (1044, 1114)
  Women753 (723, 782)782 (755, 810)804 (771, 837)862 (824, 900)843 (796, 890)910 (896, 925)888 (863, 913)858 (837, 879)856 (820, 891)860 (834, 886)
  2–8 years old845 (791, 898)950 (909, 991)999 (938, 1061)951 (913, 988)951 (906, 995)1022 (981, 1064)1033 (989, 1076)998 (943, 1052)936 (896, 976)941 (909, 973)
  9–18 years old902 (857, 947)988 (920, 1057)1028 (951, 1106)999 (932, 1066)989 (934, 1044)1081 (1020, 1141)1084 (1031, 1137)1037 (987, 1088)1012 (946, 1077)981 (929, 1033)
  19–59 years old869 (834, 903)910 (868, 952)914 (874, 954)987 (943, 1030)961 (909, 1012)1049 (1027, 1072)1032 (996, 1068)988 (959, 1016)990 (951, 1029)1005 (975, 1034)
  ≥60 years old728 (689, 767)730 (695, 765)762 (728, 795)831 (787, 876)813 (768, 858)894 (864, 925)883 (835, 931)876 (847, 905)835 (784, 887)872 (826, 918)
  Mexican American825 (793, 857)920 (872, 967)957 (885, 1029)954 (913, 995)925 (879, 971)998 (951, 1046)1098 (1050, 1145)1038 (976, 1099)986 (961, 1012)1022 (985, 1059)
  Other Hispanic805 (740, 870)842 (785, 899)785 (714, 855)875 (776, 975)969 (933, 1006)960 (922, 999)955 (912, 998)955 (900, 1011)936 (873, 998)951 (866, 1036)
  Non-Hispanic White894 (848, 941)947 (906, 988)955 (923, 986)1001 (959, 1042)972 (920, 1025)1073 (1046, 1100)1048 (1018, 1079)1007 (980, 1034)995 (957, 1032)989 (961, 1017)
  Non-Hispanic Black666 (637, 695)687 (658, 716)716 (674, 759)789 (752, 826)796 (757, 836)858 (825, 892)860 (811, 908)829 (793, 865)794 (751, 837)849 (816, 882)
  Other race or ethnicity740 (592, 888)714 (649, 779)791 (672, 910)826 (763, 889)809 (743, 875)905 (846, 965)877 (833, 921)854 (812, 895)879 (816, 942)922 (867, 976)
  Overall848 (819, 876)898 (868, 928)912 (879, 945)957 (923, 990)938 (896, 980)1022 (1009, 1036)1010 (982, 1038)973 (953, 993)955 (920, 991)966 (942, 991)
Diet and Dietary Supplements
  MenNA *NA *NA *NA *1123 (1071, 1175)1223 (1196, 1250)1206 (1160, 1252)1166 (1133, 1199)1130 (1090, 1169)1135 (1097, 1173)
  WomenNA *NA *NA *NA *1042 (976, 1109)1101 (1085, 1118)1048 (1005, 1091)1025 (996, 1055)994 (945, 1042)991 (960, 1021)
  2–8 years oldNA *NA *NA *NA *965 (919, 1010)1041 (995, 1087)1044 (1000, 1087)1008 (952, 1064)943 (902, 984)945 (914, 977)
  9–18 years oldNA *NA *NA *NA *1019 (961, 1077)1105 (1044, 1166)1103 (1052, 1153)1056 (1005, 1106)1026 (956, 1096)994 (940, 1047)
  19–59 years oldNA *NA *NA *NA *1098 (1035, 1161)1177 (1152, 1203)1134 (1085, 1183)1099 (1065, 1133)1077 (1036, 1118)1086 (1052, 1120)
  ≥60 years oldNA *NA *NA *NA *1139 (1055, 1223)1214 (1179, 1249)1161 (1107, 1215)1148 (1107, 1189)1088 (1019, 1156)1086 (1030, 1141)
  Mexican AmericanNA *NA *NA *NA *975 (930, 1021)1051 (1001, 1101)1141 (1090, 1192)1078 (1013, 1144)1032 (1010, 1053)1064 (1020, 1108)
  Other HispanicNA *NA *NA *NA *1038 (996, 1080)1040 (993, 1087)1028 (983, 1073)1007 (950, 1063)985 (915, 1056)1011 (930, 1092)
  Non-Hispanic WhiteNA *NA *NA *NA *1151 (1080, 1223)1244 (1214, 1273)1191 (1151, 1232)1162 (1129, 1195)1126 (1082, 1169)1106 (1079, 1134)
  Non-Hispanic BlackNA *NA *NA *NA *865 (828, 902)930 (886, 974)928 (873, 983)893 (857, 930)843 (802, 884)899 (864, 935)
  Other race or ethnicityNA *NA *NA *NA *911 (831, 991)1014 (944, 1084)977 (934, 1021)963 (920, 1007)987 (919, 1055)1014 (955, 1073)
  OverallNA *NA *NA*NA *1081 (1026, 1136)1160 (1144, 1177)1126 (1087, 1165)1095 (1068, 1121)1060 (1016, 1103)1061 (1035, 1086)
Abbreviations: CI, confidence interval; NA, not applicable. The population might contain individuals with different dietary reference intake levels. * Data on calcium derived from dietary supplements was not collected.
Table 3. Trends of calcium intake among the US population.
Table 3. Trends of calcium intake among the US population.
From 1999–2000 to 2017–2018From 1999–2000 to 2007–2008From 2009–2010 to 2017–2018
Coefficient Estimate
(mg/d·10 years−1)		p for TrendCoefficient Estimate
(mg/d·10 years−1)		p for TrendCoefficient Estimate
(mg/d·10 years−1)		p for Trend
Total Diet
  Men62.5 (43.5, 81.5)<0.001110 (49.7, 170)<0.001−99.0 (−152, −46.5)<0.001
  Women55.2 (38.8, 71.7)<0.001129 (67.5, 190)<0.001−66.6 (−104, −29.6)<0.001
  2–8 years old34.7 (8.23, 61.2)<0.05108 (28.6, 188)<0.01−130 (−191, −69.3)<0.001
  9–18 years old36.7 (4.46, 68.8)<0.0590.5 (3.97, 177)<0.05−135 (−226, −44.1)<0.01
  19–59 years old70.5 (50.8, 90.3)<0.001129 (59.3, 199)<0.001−65.5 (−112, −19.5)<0.01
  ≥60 years old80.1 (56.5, 104)<0.001136 (69.3, 202)<0.001−44.9 (−113, 22.7)0.19
  Mexican American88.1 (61.3, 115)<0.001105 (30.9, 179)<0.01−33.5 (−113, 45.6)0.40
  Other Hispanic84.9 (42.9, 127)<0.001183 (97.6, 269)<0.001−18.9 (−123.0, 85)0.72
  Non-Hispanic White51.0 (30.3, 71.7)<0.001104 (26.4, 181)<0.01−111 (−157, −64.8)<0.001
  Non-Hispanic Black95.8 (75.4, 116)<0.001182 (124, 240)<0.001−42.6 (−100, 15.3)0.15
  Other race or ethnicity95.3 (47.5, 143)<0.001123 (−51.9, 299)0.1631.3 (−57.4, 120)0.48
  Overall59.0 (43.1, 75.0)<0.001118 (61.9, 175)<0.001−83.2 (−119, −46.9)<0.001
Diet and Dietary Supplements
  MenNA *NA *NA *NA *−126 (−182, −69.9)<0.001
  WomenNA *NA *NA *NA *−137 (−184, −89.8)<0.001
  2–8 years oldNA *NA *NA *NA *−147 (−210, −83.2)<0.001
  9–18 years oldNA *NA *NA *NA *−150 (−242, −57.4)<0.01
  19–59 years oldNA *NA *NA *NA *−120 (−173, −66.2)<0.001
  ≥60 years oldNA *NA *NA *NA *−163 (−244, −82.4)<0.001
  Mexican AmericanNA *NA *NA *NA *−42.1 (−126, 42.0)0.32
  Other HispanicNA *NA *NA *NA *−48.6 (−152, 54.9)0.35
  Non-Hispanic WhiteNA *NA *NA *NA *−170 (−220, −121)<0.001
  Non-Hispanic BlackNA *NA *NA *NA *−73.8 (−142, −5.81)<0.05
  Other race or ethnicityNA *NA *NA *NA *17.7 (−80.7, 116)0.72
  OverallNA *NA *NA *NA *−132 (−175, −90.0)<0.001
Abbreviation: NA, not applicable. The population might contain individuals with different dietary reference intake levels. * Results not available due to absence of data on calcium derived from dietary supplement from 1999–2000 to 2005–2006.
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MDPI and ACS Style

Yu, Z.; Li, Y.; Ba, D.M.; Veldheer, S.J.; Sun, L.; Geng, T.; Gao, X. Trends in Calcium Intake among the US Population: Results from the NHANES (1999–2018). Nutrients 2024, 16, 726. https://doi.org/10.3390/nu16050726

AMA Style

Yu Z, Li Y, Ba DM, Veldheer SJ, Sun L, Geng T, Gao X. Trends in Calcium Intake among the US Population: Results from the NHANES (1999–2018). Nutrients. 2024; 16(5):726. https://doi.org/10.3390/nu16050726

Chicago/Turabian Style

Yu, Zhongyi, Yaqi Li, Djibril M. Ba, Susan J. Veldheer, Liang Sun, Tingting Geng, and Xiang Gao. 2024. "Trends in Calcium Intake among the US Population: Results from the NHANES (1999–2018)" Nutrients 16, no. 5: 726. https://doi.org/10.3390/nu16050726

APA Style

Yu, Z., Li, Y., Ba, D. M., Veldheer, S. J., Sun, L., Geng, T., & Gao, X. (2024). Trends in Calcium Intake among the US Population: Results from the NHANES (1999–2018). Nutrients, 16(5), 726. https://doi.org/10.3390/nu16050726

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