Global dietary calcium intake among adults: a systematic review

Abstract

Low calcium intake may adversely affect bone health in adults. Recognizing the presence of low calcium intake is necessary to develop national strategies to optimize intake. To highlight regions where calcium intake should be improved, we systematically searched for the most representative national dietary calcium intake data in adults from the general population in all countries. We searched 13 electronic databases and requested data from domain experts. Studies were double-screened for eligibility. Data were extracted into a standard form. We developed an interactive global map, categorizing countries based on average calcium intake and summarized differences in intake based on sex, age, and socioeconomic status. Searches yielded 9780 abstracts. Across the 74 countries with data, average national dietary calcium intake ranges from 175 to 1233 mg/day. Many countries in Asia have average dietary calcium intake less than 500 mg/day. Countries in Africa and South America mostly have low calcium intake between about 400 and 700 mg/day. Only Northern European countries have national calcium intake greater than 1000 mg/day. Survey data for three quarters of available countries were not nationally representative. Average calcium intake is generally lower in women than men, but there are no clear patterns across countries regarding relative calcium intake by age, sex, or socioeconomic status. The global calcium map reveals that many countries have low average calcium intake. But recent, nationally representative data are mostly lacking. This review draws attention to regions where measures to increase calcium intake are likely to have skeletal benefits.

Electronic supplementary material

The online version of this article (10.1007/s00198-017-4230-x) contains supplementary material, which is available to authorized users.

Introduction

Calcium intake is one of the many factors affecting the development of peak bone mass and preservation of bone mass in adults. Calcium is an important component of bone, accounting for about 30 to 35% of its mass and much of its strength. The contribution of dietary calcium intake to bone mass is easiest to document during periods when bone mass is changing rapidly, that is, during adolescence when the skeleton gains up to 409 g per year in boys and 325 g per year in girls [1], and late in life when bone loss occurs at a rate of about 1% per year, resulting in calcium loss of approximately 15 g per year [2]. Low calcium intake in some populations may be adversely affecting the development of peak bone mass in adolescents and young adults and the retention of bone mass in older adults. Recognizing the presence of low calcium intake is a necessary first step in developing culturally appropriate strategies and policies to address the deficiency.

The International Osteoporosis Foundation (IOF) took the initiative to describe dietary calcium intake in the general adult population in different countries based on a systematic review and to present the data on a global map. This study follows on a similar review and map of global vitamin D status conducted in 2011 (https://www.iofbonehealth.org/facts-and-statistics/vitamin-d-studies-map) [3]. The aim of the current review was to find the most representative data for each country, regarding average dietary intake of calcium in general population adults. The available studies were used to populate a color-coded global map of average dietary calcium intake per country.

Methods

We used a systematic review approach to search for, select, and analyze available studies, following, to the extent possible, Institute of Medicine guidance [4]. The protocol was discussed and agreed upon with the Calcium Map Steering Committee of the IOF. The research team (EMB, GPA, VNL, AE) independently conducted the review. Preliminary findings were presented at the World Congress on Osteoporosis, Osteoarthritis, and Musculoskeletal Diseases on March 24, 2017. Attendees were encouraged to inform the team of any missing or erroneous studies.

Data sources

We searched 13 electronic databases that focus on medical, nutrition, allied health, and global health literature. These included PubMed, Embase, CINAHL, CAB Abstracts, Global Health, Academic Search Premier, Africa-Wide Information, American Bibliography of Slavic and East European Studies, Anthropology Plus, Bibliography of Asian Studies, Environment Index, Humanities & Social Sciences Index Retrospective, SocINDEX, and LILACS. The searches were conducted on December 16, 2016, and included terms for calcium, micronutrients, dairy, and other calcium-rich foodstuffs; nutrition, health, diet, and food surveys, food frequency questionnaires, and food records; and lists of 154 countries and 158 known national or regional food surveys (Electronic supplementary material—Appendix A). In databases that allowed it, searches were restricted to primary studies or systematic reviews of humans and adults. From relevant reviews and selected primary studies, we searched for additional studies in reference lists. We also conducted web-based searches for national dietary surveys in general and specific named surveys where we had basic information. We also requested known studies from domain experts in the IOF. One author was contacted to help obtain data alluded to in her publication [5]. Data for India and Gambia were obtained for us by an IOF member from the survey researchers directly (Varghese JS et al., Daily adult calcium intake in Indian states based on the NSSO (2012) data, personal communication; Ward K. Gambia. Medical Research Council Lifecourse Epidemiology, University of Southampton, UK. Funded by the Nutrition and Bone Health Research Programme, Medical Research Council (MRC) Elsie Widdowson Laboratory, Cambridge, UK, personal communication).

Study selection

Four researchers screened abstracts and full-text articles in duplicate. Screening was conducted in two phases. The first phase aimed to find all potentially relevant articles. The second phase selected the one or two most representative studies for each country. To select studies, we formulated an ideal set of eligibility criteria and included the studies that best matched these criteria. For countries that did not have ideal data, we included less representative studies. The ideal eligibility criteria were national (or regional) surveys (designed to be nationally representative) of general population adults (≥ 18 years old) that reported average dietary calcium intake (excluding supplement intake) in milligrams per day or equivalent, surveyed since 2010. Ideally, studies also reported subgroup analyses based on sex, age, and socioeconomic status. For countries that lacked such studies, we allowed nonnational (e.g., city-level) studies and studies of selective populations (e.g., by age or sex). In addition, when necessary, we allowed studies that included children or calcium supplement intake. When studies were not nationally representative, we allowed multiple studies from a single country if the studies were complementary (e.g., represented different regions or age ranges).

We excluded studies that were restricted to children, institutionalized adults or those with comorbidities (e.g., studies of nursing home residents or those with osteoporosis or diabetes), lactating or pregnant women, or if study participants had to undergo imaging testing (e.g., bone mineral density or coronary calcium testing). We also excluded studies that reported only normalized calcium intake, intake in terms of recommended daily allowance (or equivalent), that estimated available dietary calcium (e.g., based on food market surveys), or that reported calcium intake only from selected foodstuffs (e.g., dairy, fruit).

After the full list of potentially relevant studies was collected, we extracted basic study data from the abstracts including country, specific location (e.g., if limited to a city), survey name, survey year, sample size, subpopulation data if relevant (e.g., age limitation), and whether subgroup analyses were reported. Based on these data, full-text articles were iteratively retrieved starting with the studies that most closely met ideal eligibility criteria (i.e., that were most representative and recent). Full-text articles were screened to ensure studies met eligibility criteria. Multicountry studies (e.g., EPIC) were evaluated separately for each included country.

Data extraction

Data were extracted from eligible studies by one researcher and confirmed by a second. We extracted data regarding the publication, country, study location (e.g., city name), survey used and years of survey, methodology for estimation of dietary calcium intake, study eligibility criteria, participant characteristics (age, sex, body mass index), whether children or supplement intake were included, sample size, average estimated dietary calcium intake data, and pertinent subgroup data. Studies were categorized as either nationally representative of current dietary calcium intake (without supplements) among general population adults or not. For countries with multiple estimates of calcium intake (either within study by subgroup, e.g., by sex, or across studies), we determined weighted averages by sample size (or simple averages if sample sizes were not reported) to calculate a single average intake per country. Countries were categorized across the range of average calcium intake. Within-study comparisons of subgroups were evaluated and compared across studies.

Role of the funding source

The funder of the study had no role in study design, data collection, data analysis, data interpretation, or writing of the report. The corresponding author had full access to all the data in the study and had final responsibility for the decision to submit for publication.

Results

The literature searches yielded 9780 abstracts after deduplication, of which 443 articles were deemed potentially relevant. Data from two additional nutrition surveys were also included. Our final dataset included 78 eligible studies covering 74 countries (Fig. 1). See Electronic supplementary material—Appendix C for the full reference list. The most common reasons studies were rejected were a lack of reported calcium data, less restrictive studies available, more recent data available, and other similar reasons. A full list of excluded studies, with rejection reasons, is available in the Electronic supplementary material—Appendix B.

Fig. 1.

Literature flow chart. * The 78 studies included two unpublished datasets

Across the 74 countries with data, the best estimate of average dietary calcium intake among general population adults ranged from 175 mg/day (Nepal) to 1233 mg/day (Iceland) (Table 1). The most notable patterns internationally were that most countries in South, East, and Southeast Asia have low average dietary calcium intake, less than 400 to 500 mg/day (Fig. 2). Most countries with data in Africa and South America have moderately low average dietary calcium intake between about 400 and 700 mg/day. However, many countries in Africa, Central and South America, the Middle East, and Central Asia did not have available estimates. All countries with average dietary calcium intake greater than 1000 mg/day were in Northern Europe.

Table 1.

Average dietary calcium intake by country and study characteristics

Calcium intake (mg/day)	Vitamin D statusa (nmol/L)	Country	Survey years	Ages (years)	Female (%)	BMI (kg/m2)	Calcium intake assessment	N total	Representativeb	Female:male ratio	Age analysesc	SES analysesc
175	nd	Nepal	2003	≥ 20	62	19.4	FFQ and food record	317	No (local, small)	0.85
238	nd	Uganda	nd (pre-2011)	nd d			Recall	173 households	No (local, children, small)
297	nd	Colombia	2003	20–60			Food record	70	No (local, age, small)
313	> 75	Thailand	nd (pre-2008)	20–85		22.4	Recall	436	No (local, small)	0.70
335	> 75	Gambia	2011–2013	≥ 40	52		Food record	467	No (age, small)	0.78	Similar e
338	25–49	China	2002	2−101 d			Recall	68,962	No (children)			Rural (vs. urban) lower
342	nd	Indonesia	1998	nd			nd	nd	No (old)
345	> 75	Vietnam	2000	nd			FFQ	4080	No (local)
358	nd	Burkina Faso	2006	nd			Recall	1005 households	No (local)
384 f	nd	Ecuador	2012	19–60			Recall	10,592	No (age)	0.96
393	nd	Cape Verde	2002	All d			Food record	4824 households	No (children)
399	25–49	Malaysia	2002–2003	18–59	52		Recall	6886	No (age)	0.99	Similar e	Rural (vs. urban) lower
427	nd	Argentina	2004–2005	18–49	100		nd	4819	No (age, women)
429	25–49	India	2011–2012	≥ 18	50		Recall	306,329	Yes	0.83
440	nd	Philippines	2003	Alld			Food record	25,882	No (children)
444	nd	Mali	2007	15–49	100		Recall	108	No (local, women, small)
458	nd	Bolivia	2002	nd			FFQ	5746 households	Yes
462	nd	Pakistan	2008	≥ 18	100	23.8	Recall	200	No (local, women, small)
471	nd	Tanzania	1987	35–74			Recall	173	No (local, age, small, old)	Urban 0.91, rural 1.13	Older lower	Rural (vs. urban) higher
479	25–49	South Africa	1983–2000	≥ 15			Recall	3231	No (old)	0.65
483	25–49	South Korea	2010–2012	≥ 19	50		Recall	15,603	Yes			Food insufficient lower
487	nd	Barbados	2000	≥ 18		25.8	FFQ and recall	1739	Yes	0.89g	Older higher
488	50–74	Norway	1994–1995	24–70		25.6	FFQ	18,914	No (age, old)	0.81
489	nd	Guam	nd (early 2000s)	18–83			Recall	400	No (small)	0.87
492	50–74	Israel	1999–2001	25–64			Recall	2782	No (age, old)
495	nd	Egypt	2004	20–60	100h		Recall	1090	No (age, women)
498	nd	Myanmar	1998	nd			nd	nd	No (old)
505	50–74	Brazil i	2009	20–59/≥ 60		25.5/nd	Food record	21,003/4322	No (age)	0.89/0.95		Income groups similar
507	nd	Palestine	nd (pre-2012)	31–50	100		Recall	149	No (local, age, women, small)
529	nd	Bangladesh	2011	All d	51		Unclear	31,066	No (children)	0.96		Rural (vs. urban) lower
533	50–74	Japan	2003–2007	18–74			Food record	22,712	No (age)	0.99
587	> 75	Taiwan	2005–2008	19–64			Recall	1942	No (age)	0.92
588	nd	Botswana	2007	18–75	80	26.2	Recall	79	No (local, age, small)
607	nd	Tonga	2005–2006	40–59		32.2	Recall	34	No (local, age, small)	0.76
616	nd	Algeria	2009–2010	41–66 (71% of sample)		27.1	Recall	176	No (local, age, small)	1.18
636	nd	Nigeria	2003–2004	ndd			FFQ	13,142 households	No (children)			Rural (vs. urban) lower
664	nd	Ethiopia	2005	≥ 18		22.8	Recall	356	No (local, small)	0.75
672	nd	Morocco	2004	≥ 16	61		FFQ	691	No (local, small)		Older lower
673	nd	Hungary	2009	≥ 19			FFQ	3077	Yes	0.93	Older lower
673	nd	Costa Rica	1996–1998	20–65	50		Recall	60	No (age, small, old)
695	nd	Kuwait	2008–2009	≥ 19	55.3		Recall	1049	Yes	0.79	Similare
702	nd	Chile i	2014/2012	≥ 65/35–70	61/nd	27.4/29.1	FFQ	597/66	No (local, age, small)
728	50–74	Belgium	2004	≥ 19			Recall	nd	Yes	0.88	Older lower
760	50–74	Cameroon	2001	nd			nd	557 households	No (local, small)
765	25–49	Italy	2005–2006	≥ 18		25.4	Recall	2831	Yes	0.91	Older higher
773	25–49	Austria	nd (pre-2004)	≥ 55			nd	641	No (age, small)	1.06
782	50–74	Czech Republic	2005	45–69		27.8	FFQ	7913	No (local, age)	1.16
787	50–74	Canada	2004	≥ 19			Recall	35,107	Yes	0.86	Older lower
788	25–49	Russia	2005	45–69		26.5	FFQ	9098	No (local, age)	0.95
789	50–74	Spain	2002–2003	≥ 19			Recall	1923	Yes	0.94	Older lower
794	nd	Singapore	2010	18–69	50		FFQ	1647	No (age)	0.94	Older lower
805	50–74	Australia	2011–2012	≥ 19	53		Recall	9338	Yes	0.86	Older lower
805	nd	Mexico	2006	20–59	60		FFQ	15,746	No (age)	0.9		Urban vs. rural similar
807	25–49	New Zealand	2009	≥ 19		27.6	Recall	4721	Yes	0.83g	Older lower
830	25–49	Polandi	2002–2005/2010–2011	45–69/45–64		27.1/29.1	FFQ	9859/3862	No (local, age)	1.03/1.07		Rural (vs. urban) lower
837	nd	Jamaica	nd (pre-2000)	25–74	60	26.7	Recall	73	No (local, age, small, old)
838	nd	Serbia	1998 and 2003	30–74			Food record	1305	No (age)	younger 0.77, older 0.92	Older lower
856	25–49	Jordan	2012	≥ 18	51		Recall	55	No (small)
859	25–49	Iran	2001	≥ 40			Recall	1922	No (local, age)	0.91	Older lower
865	nd	Latvia	1997	19–64			Recall	32	No (age, small, old)
877	50–74	France	2005–2007	18–79			Food record	1082	Yes		Middle-age higher
923	nd	Portugal	1999–2003	≥ 19			FFQ	2974	Yes	1.09	Older lower
934	50–74	USA	2001–2010	≥ 19		28.4	Recall	22,823	Yes
942	25–49	Greece	1992–2001	33–72 (95% of sample)	59		Recall	1982	No (age, old)
958	25–49	Denmark	2000–2004	18–75			Food record	4479	Yes	0.94	Older lower
965	nd	Croatia	nd (early 2000s)	18–55	71	23.3	FFQ	161	No (local, age, small)	0.82
992	>75	Sweden i	1997	49–83/45–79	100/0	24.7/25.7	FFQ	61,433/48,850	No (age, old)	0.85
994	50–74	UK	1992–2004	25–72 (95% of sample)	70		Recall	5885	No (age)
1067	50–74	Switzerland	2006–2012	35–74	50	25.1	FFQ	4307	No (local, age)	0.90
1068	25–49	Germany	2005–2007	≥ 19			Recall	13,959	Yes	0.91	Older lower
1080	nd	Ireland	2010	18–90			Food record	1499	Yes
1097f	25–49	Finland	2002	25–64			Recall	2007	No (age)	0.89
1102	50–74	Netherlands	2010	19–69			Recall	2100	No (age)
1233f	25–49	Iceland	2003	30–85	52		FFQ	944	No (local, age, small)		Older higher

Table data are grouped according to emphasis (italics and normal text) by bands of average dietary calcium intake. See Electronic supplementary material—Appendix C for references

BMI body mass index, FFQ Food Frequency Questionnaire, N sample size, nd no data (not reported), SES socioeconomic status

^aSerum/plasma 25-hydroxyvitamin D levels country-level categorizations among adults. From Wahl et al. [3]

^bWas the study nationally representative and current? Local = survey conducted in specific towns, cities, or regions; age = restricted by age range; children = children included; women = women only; small = sample size < 1000; old = surveys conducted before 2000

^cDifferences in dietary calcium intake between different subgroups, by age or socioeconomic status; lower and higher refer to average calcium intake in noted subgroup. No assessment of statistical significance is implied

^dIncludes children

^eOr no pattern noted

^fExplicitly included dietary supplements; however, most studies did not report whether supplement intake was included

^gLess than 0.80 in younger age groups (18/19 to 29/30 years old)

^hMothers only

ⁱTwo complementary studies were included for these countries. Relevant data are reported for each study, separated by a forward slash, with the larger study reported first. Where only a single value is presented, the data were the same for both studies, except for calcium intake (which is an average across studies) and whether the studies are nationally representative (which is assessed across studies)

Fig. 2.

Global map of average dietary calcium intake categories. Each country with available data is colored based on its estimate of mean or median dietary calcium intake. Bright red < 400 mg/day, dark red 400–499 mg/day, orange 500–599 mg/day, brown 600–699 mg/day, yellow 700–799 mg/day, moss green 800–899 mg/day, light green 900–999 mg/day, and dark green ≥ 1000 mg/day. An interactive version of the map is also available online at www.iofbonehealth.org/facts-and-statistics/calcium-map

However, for only 18 of the 74 countries (24%) were the estimates of dietary calcium intake current (since 2000) and nationally representative (Table 1). Thirteen (of 78) study surveys (17%) were conducted since 2010, 49 studies (63%) mostly between 2000 and 2010, 12 studies (15%) mostly prior to 2000, and four other studies (5%) conducted their surveys at some unreported date prior to about 2004 to 2012. Study sample sizes ranged from 32 to 306,329, with 25 studies (32%) having fewer than 1000 participants, but 18 studies (23%) with more than 10,000; three studies did not provide sample sizes. At least 27 of the studies (35%) were conducted in specific towns, cities, or regions, but many studies did not report where surveys were conducted. Thirty studies (38%) included all adults (age 15 years and older), while six studies (8%) included children, and 39 studies (50%) included a limited range of adults. Among 28 studies that reported data on sex, the median study included 59% women (range 49.6–100%), but five were restricted to women. Six studies were conducted at the household (instead of individual) level. Also of note, for two countries with high average calcium intake (Finland and Iceland), the studies explicitly included supplement intake in their estimates; however, for most countries, it was only implied that supplement intake was not included.

Among the studies that reported subgroup analyses based on sex, age, or urban versus rural residence, there were no clear patterns across countries (Table 1). In the 42 countries that had subgroup data by sex, the median calcium intake ratio between women and men was 0.90 (range 0.65, 1.18); in 36 (86%) countries, women’s intake was lower than men’s. However, the countries with relatively low calcium intake ratios (< 0.80) or with greater intake among women did not fall into any geographic or cultural groupings. In two thirds of countries with reported subgroup estimates by age (N = 21), older people consume less dietary calcium, with no discernable patterns across countries. In five of seven mostly low-resource countries, rural residents had lower dietary calcium intake than urban residents. In South Korea, people with worse food sufficiency had lower calcium intake than others, but in Brazil, average dietary calcium intake was similar across income groups.

Discussion

In summary, data on dietary calcium intake were available for 74 countries. However, many of the studies were not nationally representative of general population adults, with about 40% of countries having only small sample size or local region data available. Most surveyed countries in South, East, and Southeast Asia have low dietary calcium intake (< 400 mg/day). Most surveyed countries in Africa and South America have moderately low calcium intake (400–700 mg/day). The countries with mean calcium intake greater than 1000 mg/day were all in Northern Europe. Subgroup analyses comparing sexes, ages, and urban versus rural populations did not reveal any consistent patterns across countries.

Review of the global calcium map reveals that there are many countries in which calcium intake is very low, under 400 mg/day. The countries with very low calcium intake are clustered in the Asia-Pacific region and include countries with large populations such as China, India, Indonesia, and Vietnam, among others. Countries in the next lowest intake categories, 400 to 500 and 500 to 600 mg/day, are clustered in South America (Argentina, Bolivia, Brazil) and scattered throughout the Far East, North Africa, and elsewhere. Of the total of 195 countries, we could identify calcium intake data for only 74 or 38%. This leaves 123 countries without qualifying survey data on calcium intake.

Asia-Pacific countries with very low calcium intakes also have suboptimal vitamin D status. In 2012, the IOF published results of a systematic review conducted by the Mannheim Institute describing serum 25-hydroxyvitamin D levels [25(OH)D] around the globe [3]. Among adults age 18 years and older in most Asia-Pacific countries, mean serum 25(OH)D levels were in the range of 25–49 nmol/L, which is considered insufficient by the Institute of Medicine, at least for the US general population [6]. The combination of low calcium intake and low 25(OH)D levels is of particular concern because it is known to increase the risk of osteoporosis. In older adults, for instance, supplementation with calcium in combination with vitamin D reduces bone loss [7], reduces the risk of any fracture [7–9], and specifically reduces the risk of hip fracture [8, 9]. In much of the Asia-Pacific region where calcium intake is low, serum 25(OH)D levels also are low [3]. This is notable in China, Malaysia, and India, and also in South Korea where serum 25(OH)D levels are generally in the range of 25–49 ng/mL (Table 1).

While the implications of low calcium intake for bone mass have not been systematically evaluated in many countries in the Asia-Pacific region, they have in South Korea. In South Korean adults aged 50 years and older in the 2009–2010 Korean National Health and Examination Survey (KNHANES), Joo et al. examined associations of quintiles of calcium intake with bone mineral density (BMD) within three categories of serum 25(OH)D levels: < 50, 50–75, and > 75 nmol/L [10]. Within each category of serum 25(OH)D, higher calcium intake was significantly positively associated with BMD of the femoral neck. Within the lower two 25(OH)D categories, calcium intake was positively associated with BMD of the spine. These observations in older adults indicate not only that low calcium intake is associated with lower BMD but also that higher 25(OH)D levels do not compensate for an inadequate calcium intake. The mean calcium intake of the older adults was 485 mg/day, and the top quintile consumed at least 666 mg/day. The Korean RDA for calcium for adults age 50 years and older is 700 mg/day [11]. Clearly over 80% of the older segment of the South Korean population has calcium intake below their RDA. The positive associations of bone mass with calcium intake strongly suggest that a higher calcium intake would improve bone mass in older South Korean adults.

Our goal was to summarize current, representative estimates of dietary calcium intake in adults. However, few countries provided such data. Most studies were not nationally representative or were based on old surveys. Numerous studies had other deficiencies, particularly incomplete reporting of sample size, study eligibility criteria, survey dates, and basic demographic information. Moreover calcium intake was assessed by different methodologies, including food frequency questionnaires, recall, and diet records, which have well-recognized differences and limitations [12]. For most countries, future, representative, national nutrition surveys are needed to better estimate dietary calcium intake. Notably, we failed to find data for over half the world’s nations, particularly from Africa, Asia, and Latin America. Our methodology called for selecting the most representative data for each country; we did not attempt to summarize all available evidence for all countries. Despite clear a priori eligibility criteria, judgments had to be made regarding whether specific studies or articles were less representative than others; for example, whether to choose older, larger studies or newer, smaller studies with a broader eligible age range.

Hip fractures are projected to increase from 1.66 million in 1990 to 6.26 million by 2050 [13]. Europe and North America accounted for about half of all hip fractures in 1990, and this proportion will fall to one quarter in 2050, due to steep increases in reported hip fractures in Asia and South America [13]. Steep increases in Beijing, China, have recently been confirmed [14]. Among adults age 70 years and older, hip fracture rates have increased more than threefold in women and twofold in men in the short interval between 1990–1992 and 2002–2006 [14]. Although several dietary, lifestyle, and genetic factors influence hip fracture risk, inadequate calcium intake appears to amplify this risk. To the extent that the current very low calcium intake in Asia-Pacific region and South America adversely affects the skeleton, it becomes a public health priority to increase calcium intake to combat the disabling, growing, and costly problem of osteoporosis in these regions.

In conclusion, this systematic review compiled available data on average national dietary calcium intake around the globe. The key findings are that calcium intake is low (averaging less than 400 mg/day) in many large countries of Southeast Asia and nearly as low in much of South America. Calcium intake has not been reported in over half of the world’s countries. This work draws attention to regions where calcium intake needs to be assessed and where measures to increase calcium intake are likely to have skeletal benefits.

Funding

The study was supported by an unrestricted educational grant to the International Osteoporosis Foundation from Pfizer Consumer Health. The funder had no role in the study design, data collection, analysis, preparation of the manuscript, or decision to publish.

Compliance with ethical standards

Conflicts of interest

Dr. Balk, Ms. Adam, Ms. Langberg, and Ms. Earley report a grant from International Osteoporosis Foundation during the conduct of the study.

Dr. Clark and Dr. Mithal report no conflict of interest.

Dr. Ebeling reports grants and personal fees from Amgen and Eli-Lilly; grants from Novartis and Merck; and personal fees from Gilead, UCB, and Radius, outside the submitted work.

Dr. Rizzoli reports personal fees from Labatec, Nestlé, and Radius Health, outside the submitted work.

Dr. Zerbini reports grants from Pfizer, Lilly, Merck, Amgen, Sanofi Novartis, and Advisory Board work for Lilly and Pfizer, outside the submitted work.

Dr. Pierroz reports grants from Pfizer Consumer Health, during the conduct of the study.

Dr. Dawson-Hughes reports grants from Pfizer and DSM and personal fees from Amgen, Pfizer, Takeda, and Tricida, outside the submitted work.