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Calcium absorption in postmenopausal Chinese women: a randomized crossover intervention study

Published online by Cambridge University Press:  01 January 2007

Yu-ming Chen
Affiliation:
Department of Community & Family Medicine, and the School of Public Health, The Chinese University of Hong Kong, Hong Kong, SARPeoples Republic of China Department of Medical Statistics and Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, 510080, Peoples Republic of China
Birgit Teucher
Affiliation:
Institute of Food Research, Norwich Research Park, Norwich, NR4 7UA, UK
Xin-yi Tang
Affiliation:
Department of Pediatrics, The Third Affiliated Hospital, Sun Yat-sen University, Guangzhou, 510630, Peoples Republic of China
Jack R. Dainty
Affiliation:
Institute of Food Research, Norwich Research Park, Norwich, NR4 7UA, UK
Kenneth K. C. Lee
Affiliation:
School of Pharmacy, The Chinese University of Hong Kong, Hong Kong, SAR Peoples Republic of China
Jean L. F. Woo
Affiliation:
Department of Medicine and Therapeutics, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong, SARPeoples Republic of China
Suzanne C. Ho*
Affiliation:
Department of Community & Family Medicine, and the School of Public Health, The Chinese University of Hong Kong, Hong Kong, SARPeoples Republic of China
*
*Corresponding author: Professor Suzanne C. Ho, Department of Community and Family Medicine, The Chinese University of Hong Kong, 4th Floor, School of Public Health, Prince of Wales Hospital, Shatin, N.T., Hong Kong SAR, fax +852 2602 6986, email [email protected]
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Abstract

The Ca intake and food sources of Chinese postmenopausal women are quite different from those of their Western counterparts. But, little information on Ca metabolism is available in Chinese populations. We determined true fractional calcium absorption (TFCA), true Ca absorption ( = TFCA × Ca intake, Va), urinary Ca excretion (Vu) and the difference between Va and Vu (Va − u), in response to three dietary Ca intake levels. Twenty-one healthy postmenopausal Chinese women aged 49–64 years were recruited for this randomized crossover trial from a general community, Guangzhou, China. Subjects were randomly assigned to receive 0, 500 and 1000 mg Ca/d for 5 weeks separated by 2-week washout periods. TFCA using Ca stable isotopes, total urinary Ca excretion and Ca intake were determined after 4 weeks of adaptation. Mean values for total Ca intake (Vi) of the three phases were 391 (sd 197), 880 (sd 130) and 1382 (sd 160) mg/d. On usual diet, TFCA, Vu, Va and Va − u were 0·57 (sd 0·12), 175 (sd 59) mg/d, 216 (sd 98) mg/d and 41 (sd 99) mg/d, respectively. With the supplementations of 500 and 1000 mg Ca/d, TFCA significantly decreased to 0·52 (sd 0·12) and 0·43 (sd 0·13) (P < 0·001); whereas urinary Ca (P = 0·003), Va and Va − u increased significantly (P < 0·001). Using a mixed-effects nonlinear regression model, it was estimated that Va − u was approaching a plateau when mean Ca intake reached 1300 mg/d. In conclusion, the present findings suggest postmenopausal Chinese women have high Ca absorption efficiency and a mean Ca intake of about 1300 mg/d is required to maximize the Va − u.

Type
Research Article
Copyright
Copyright © The Authors 2007

Epidemiological data have shown that age-adjusted rates of hip fracture were much higher in the Caucasian populations than in the Asian populations (Gullberg et al. Reference Gullberg, Johnell and Kanis1997; Lau et al. Reference Lau, Lee, Suriwongpaisal, Saw, Das, Khir and Sambrook2001), whereas Ca intakes in Asians are only half to three-quarters of that of their Western counterparts (US Department of Agriculture, 1989; Woo et al. Reference Woo, Leung, Ho, Lam and Janus1998). In Chinese urban adults, mean Ca intake ranged from 350 to 500 mg/d (Ge et al. Reference Ge, Zhai and Yan1996). Although the differences in Ca intake tend to be small in the middle-aged and elderly populations (US Department of Agriculture, 1989; Woo et al. Reference Woo, Leung, Ho, Lam and Janus1998), it remains unclear whether the differences in the fracture rates could be partly due to the discrepancies in the efficiency of Ca utilization.

Ca absorption efficiency plays a key role in optimizing Ca utilization. The limited published data have shown that intestinal true fractional Ca absorption (TFCA) was about 2-fold higher in the Chinese (Kung et al. Reference Kung, Luk, Chu and Chiu1998) than in the Western populations (Heaney et al. Reference Heaney, Recker, Stegman and Moy1989). However, the study by Kung et al. (Reference Kung, Luk, Chu and Chiu1998) has limitations; and as indicated by Heaney (Reference Heaney1999), a 100 mg Ca carrier load was used (as the chloride salt) without accompanying food. Therefore, the study may not provide the desired information on Ca absorption and requirement in Chinese women.

Due to the relatively low level of Ca intake, different dietary habits and Ca sources as compared with White populations, the Chinese might have higher TFCA. About 72 % of the dietary Ca for US adults is derived from dairy products, 11 % from grain products, and 6 % from vegetables and fruits (US Department of Agriculture, 1989). Dietary Ca in the Chinese population is mainly provided by vegetables (37 %) and fruits and beans (10 %); while milk and its products supply approximately 24 % of the Ca (Chen, Reference Chen2003). Ca from different sources varies in bioavailability. Weaver et al. (Reference Weaver, Heaney, Nickel and Packard1997) reported that TFCA from several commonly consumed Chinese vegetables is higher than that from milk by almost 10 %. Further, several studies have demonstrated adaptation in Ca absorption and excretion depending on Ca intake levels. Malm (Reference Malm1958) showed that subjects transferred from a high to a low Ca diet were initially in negative balance, but zero balance was achieved after a period of adaptation (1·5 years). Lee et al. (Reference Lee, Leung, Fairweather-Tait, Leung, Tsang, Eagles, Fox, Wang, Xu and Zeng1994) also reported higher TFCA in children with habitual lower Ca intake than those with higher Ca intake, using the same Ca test load.

The purpose of the present study was to determine true Ca absorption, and urinary Ca excretion, and to evaluate benefits to the Ca economy at double the Ca intake currently consumed by the majority of postmenopausal Chinese women.

Subjects and methods

Subjects

Twenty-one apparently healthy postmenopausal Chinese women within 10 years of natural menopause were recruited from a community near the Third Affiliated Hospital of Sun Yat-sen University in Guangzhou, China. Eligibility criteria included Guangzhou residents (at least 5 years) of Chinese origin aged between 48 and 64 years, and within 10 years of natural menopause, defined as at least 12 months since the last menstrual cycle. Subjects who were taking hormonal replacement therapy for 3 months or more, and those who had a confirmed medication known to affect bone health, such as malabsorption syndromes, chronic liver or kidney diseases, parathyroid and thyroid diseases, gastric operation or cancer, were excluded from the study. Women who had undergone oophorectomy and/or hysterectomy were also excluded because of the inability to determine menopausal status. Procedures, objectives and requirements of the study were explained in detail to the eligible subjects. The protocol was approved by the Ethical Committee of the Chinese University of Hong Kong, and written informed consent was obtained from each subject.

Study protocol

Subjects participated in a randomized cross-over trial consisting of three successive periods of Ca supplementation of 5 weeks each, separated by 2-week washout periods. During the intervention periods, subjects were supplemented with either 0 mg (no placebo) (A), 500 mg (B) or 1000 mg (C) Ca (as calcium carbonate). Eligible subjects were randomly assigned to one of the three study arms, i.e. A-B-C, B-C-A or C-A-B. Ca supplements (Phase B: half tablet; Phase C: one tablet; 500 mg per tablet) were consumed twice daily (in the morning and evening) within 10 min of completing the relevant meals during the 4-week adaptation period and the subsequent 5 d test period. Subjects were advised to consume their habitual diet and avoid any other supplements including vitamins, minerals, fish oils and herbs during the whole course of the study. TFCA and urinary Ca were determined during the fifth week of each intervention period by using a dual stable-isotope technique. The duplicate diet technique was used to assess habitual Ca intake.

Isotope preparation

Calcium carbonate enriched with 42Ca (enrichment 87 %) or 43Ca (enrichment 52 %) was purchased from Asian Isotopes Ltd (Hong Kong). The Ca isotope solutions for oral (42Ca) and intravenous (43Ca) administration were prepared as previously described by Lee et al. (Reference Lee, Leung, Fairweather-Tait, Leung, Tsang, Eagles, Fox, Wang, Xu and Zeng1994). The solution of 43Ca for injection was dispensed into glass bottles, sealed, autoclaved and sterilized. Each 25 ml dose of 42Ca for oral administration was dispensed into a polyethylene tube, sealed and stored at − 20°C until use. The enrichments of the two Ca isotope solutions, as determined by inductively coupled plasma MS were: 14·59 % 40Ca, 84·45 % 42Ca, 0·12 % 43Ca and 0·83 % 44Ca for the oral 42CaCl solution; 30·81 % 40Ca, 0·90 % 42Ca, 51·17 % 43Ca, and 17·11 % 44Ca for the intravenous 43CaCl solution.

Administration of stable isotopes

The subjects were invited to the hospital, after an overnight fast, in the morning (approximately 08.00–09.30 hours) of the first day of the fifth week during each intervention period. About 1·0 mg 43Ca/60 kg body weight in 5 ml normal saline was infused via the antecubital vein over approximately 1–2 min, and flushed with 5 ml normal saline. Approximately 4·0 mg 42Ca/60 kg body weight in 300 ml fresh orange juice ( ≈ 36 mg Ca), mixed 24 h before administration, was divided into three bottles (100 ml each) and taken orally by the subjects with breakfast, lunch and dinner (within 5 min post-meal) on the same day. The supplements and oral dose were taken with a meal in the morning and evening in the sequence of ‘meal → Ca tablet → isotope dose’. A standard breakfast (150 ml milk+150 g bread+100 ml orange juice with isotope dose, ∼200 mg Ca) was provided on the test day and the subjects were sent home after breakfast. Telephone calls were made to remind them to drink the oral isotope with lunch and dinner of a self-selected diet. The exact quantity of oral and intravenous isotope given to each subject was precisely weighed by using a 1/1000 g balance.

Sample collection, preparation and analysis

Subjects were instructed to empty their bladders before the isotope administration. About 40 ml urine was collected at baseline. A 120 h urine specimen in two pools (0–48 h, 48–120 h) was collected during each metabolic phase immediately post-dosing by using acid-washed polyethylene pots. Aliquots of 90 ml were digested using concentrated nitric acid and the residue dissolved in 0·2 m-nitric acid.

The urine digests were purified by using an oxalate precipitation procedure similar to that described by Patterson et al. (Reference Patterson, Veillon, Hill, Moser-Veillon and O'Haver1999) and Turnlund et al. (Reference Turnlund, Keyes and Scott1993). In brief, approximately 0·5–3·0 ml of digest in solution (containing approximately 1–3 mg Ca) was transferred to an acid-washed tube, and mixed with 0·5 ml saturated ammonium oxalate (pH 8). The pH was then adjusted to ∼8·0 with 5 % ammonia. The solution was mixed and left to stand overnight. The samples were centrifuged, and the supernatant was discarded. The remaining Ca precipitate was then washed twice with MilliQ water (5 ml each time). The isotope profile of the purified samples was determined using a Single Focussing Multicollector Mass Spectrometer (Isoprobe; Micromass, Manchester, UK) using a desolvating sample introduction system with a microconcentric nebulizer (Aridus and T1H; Cetac, Omaha, NE, USA). All samples were calibrated against NIST915 with the following accuracies (%relative standard deviation): 44/40, 0·018 %; 42/40, 0·025 %; 43/40, 0·048 %. The total Ca concentration in digested urine was measured using a colorimetric method (Commercial Kit, Randox Laboratories Ltd, Co. Antrim, UK). The average CV for intra- and inter-runs were 0·76 % and 2·04 %, respectively. Isotope profile and total Ca concentration were then used to calculate TFCA.

Calculation of true fractional calcium absorption

The TFCA was calculated in a similar manner to that described by DeGrazia et al. (Reference DeGrazia, Ivanovich, Fellows and Rich1965). In brief, the TFCA is given by the ratio of the mass of the two stable isotopes measured in urine, expressed as the fraction of the administered dose. This technique assumes that the oral tracer, once absorbed, follows the same kinetics as the intravenous tracer and natural Ca. Fractional absorption was calculated from the isotope mass determined in urine samples collected in the first 120 h post-dosing.

where

Mtot Ca is the total Ca mass in urine; Ca fraction oral is the mole fraction of Ca of the oral dose; Ca fraction IV is the mole fraction of Ca of the intravenous dose; Ca fraction NA is the mole fraction of natural Ca in urine; MW oral, MW IV and MW NA are the molecular weights of the oral dose, intravenous dose and natural Ca, respectively.

Calcium intake

Habitual Ca intake was assessed by measuring the Ca content in duplicate food samples collected for 3 d consecutively after the isotope administration during each intervention phase. Wet and dry foods were collected separately, and edible parts of the samples were carefully weighed on the following day. The samples were then homogenized, and combined into one pool. About 20 g of the homogenized sample were ashed at 450°C for 48 h, and dissolved using 0·2 m-HNO3. The total Ca concentration in digested food samples was measured using the same method for testing total urinary Ca.

In some cases, duplicate diet collections were incomplete due to reasons such as not enough foods was prepared, subjects had forgotten to collect or it was not convenient to collect foods consumed while eating out. All subjects were advised to record in detail the type and quantity of the foods consumed and our staff would check the food records following each day of collection. A total of 4·8 % (energy ratio) of foods were not collected and calculated based on the food record. Energy and other dietary nutrients such as protein, carbohydrates and phosphorus were calculated based on the weighed food data using computerized food tables (US Department of Health, Education and Welfare & Food and Agriculture Organization of the United Nations, 1972; Wang, Reference Wang1991).

Biochemical analysis

Serum cross-linked N-telopeptide (NTx) was measured by ELISA (Osteomark; Ostex International Inc., Seattle, WA, USA); the intra-assay variability (CV) was 5·1 %. Serum intact parathyroid hormone (PTH) was measured by ELISA (BioSource International Inc., Camarillo, CA, USA); the intra-assay variability (CV) was 6·4 %. Inter-assay variation for NTx and PTH was avoided by analysing all samples from the study on the same plate.

Compliance assessment

Ca tablet consumption during the 5-week intervention periods was assessed by counting the leftover tablets at the end of each of the study phases. All subjects consumed more than 90 % of the supplements during the relevant intervention periods. On the days of testing and sample collection, all subjects, except one during the first phase, took the supplements as instructed. Compliance with the collection of urine and food samples was assessed by face-to-face interview.

Statistical analysis

True absorbed Ca (V a) was calculated as TFCA × Ca intake. The difference between V a and urinary Ca (V u) was calculated and is referred to as V a − u.

A non-linear regression model was initially used to describe the association of Ca retention with Ca intake in previous studies (Institute of Medicine, 1997; Jackman et al. Reference Jackman, Millane, Martin, Wood, McCabe, Peacock and Weaver1997). Due to the high correlations of repeated observations from the same individuals, a relevant mixed-effects model was used to fit the association of V a and V a − u with Ca for the present study, as described by Pinheiro & Bates (Reference Pinheiro and Bates1995).

where a, b, c and d are fixed-effect parameters: a is the range between the minimum and maximum value of V a − u or V a; b is a determinant of the intercept of the curve; c is the slope; d represents the minimum V a − u; u 1 is a random-effect parameter which follows a normal distribution with a mean of 0 and a variance of σ2.

The ‘proc nlmixed’ procedure of the SAS software version 8.2 (SAS Institute Inc., Cary, NC, USA) was used for the data modelling and the calculation of mean (with 95 % CI) prediction of V a − u and V a in relation to Ca intakes.

Analysis of covariance for repeated measures was used to examine the effects of Ca supplementation on TFCA, urinary Ca excretion, V a, V a − u, PTH and NTx. The model included possible confounding factors, such as age, years since menopause, body weight, height and BMI, and dietary protein and phosphorus. A linear mixed-effects model was used to test the linear trend of the above parameters in response to Ca intake after adjusting for possible confounding factors. SAS software was used for statistical analysis. All results were considered significant at P < 0·05.

Results

Of the twenty-one participants, two subjects were excluded after the first phase because of the introduction of hormone replacement therapy and menses-like bleeding. One subject dropped out due to personal reasons during the second phase. The remaining eighteen subjects completed the study. None of the subjects suffered from any diagnosed disease or used medication known to affect bone health during the preceding 3 years.

Subjects had a mean age of 54·3 (sd 4·4) years (range 49·2–63·6), mean years since menopause of 5 (sd 3) (range 1–10) and mean BMI of 24·1 (sd 3·0) kg/m2 (range 19·5–29·3) (Table 1). Of the twenty-one subjects who attended the study at baseline, ten were retirees, seven were clerks, officers, doctors or nurses, and the remaining two were blue-collar workers. Ten subjects had achieved college education; eight and three subjects had attained secondary and primary levels of education, respectively.

Table 1 Baseline characteristics of the subjects (n 21)

Means for TFCA of the three groups were 0·57 (sd 0·12), 0·52 (sd 0·12) and 0·43 (sd 0·13), respectively. There was no significant difference in the habitual dietary Ca intake between the three intervention phases. With the increases in Ca intake through supplementation, the TFCA decreased significantly (P < 0·001), and urinary Ca (P = 0·003), V a and V a − u increased significantly (P < 0·001) (Table 2).

Table 2 Means of parameters on calcium metabolism by the calcium intervention doses

TFCA, true fractional calcium absorption; BCE, bone collagen equivalent.

Mean values were significantly different from those of the 0 mg Ca/d group: *P < 0·05; **P < 0·01.

Mean values were significantly different from those of the 500 mg Ca/d group: †P < 0·01.

For details of procedures, see pp. 161–163.

§ Average daily Ca intake from diet assessed by measuring a 3 d duplicated food sample after isotope administration. Total Ca intake =  Ca from diet + Ca from supplements. Urinary Ca is the 5 d average urinary Ca excretion; V a is the true absorbed Ca fraction ( =  TFCA × Ca intake). V a-u is the difference between V a and urinary Ca.

P value from ANOVA for repeated measures. Covariates: age, years since menopause, body weight, height and BMI, and dietary protein and phosphorus (no covariate for the comparison of dietary intakes).

P value for coefficients derived from linear mixed-effects models (dependent variables: parameters listed in the table; independent variable: total Ca intake; covariates were the same as those in the ANOVA).

Non-linear mixed-effects models were used to fit the association of V a − u and V a with Ca intake. The estimated values of the parameters are shown in Table 4. V a − u = (524+u 1)/[1+e(2·34 − 0·00 408 × Ca intake] − 135, and V a = (633+u 1)/[1+e(2·09 − 0·00 348 × Ca intake)]. The random-effect parameter u 1 follows a normal distribution with a mean of zero and a variance of 21 006 (for V a-u) and 21 171 (for V a).

Table 3 Predicted value of true absorbed calcium fraction (V a) and V a-u in relation to calcium intakes

V a-u is the difference between true absorbed Ca fraction and urinary Ca. The predictions of V a and V a-u were made based on the non-linear regression model indicated in Figs. 1 and 2, and Table 4.

§ Equal to 95 % (81–109 %) of predicted maximal value of V a-u.

Table 4 Parameters of the non-linear mixed-effect model describing the associations of V a and V a-u with calcium intake

V a is the true absorbed Ca fraction (mg/d); V a-u is the difference between V a and urine Ca (mg/d). The associations between V a or V a-u and Ca intake were fitted into non-linear mixed models of and , respectively; where a, b, c and d are the fixed-effect parameters: a is the range between the minimum and maximum value of V a-u or V a; b is a determinant of the intercept of the curve; c is the slope; d represents the minimum V a-u; u 1 is the random-effect parameter assumed to follow a normal distribution with a mean of 0 and a variance of σ 2.

Figures 1 and 2 show the observed values for individuals and mean predicted values of V a and V a − u in relation to Ca intake. The mean (with 95 % CI) predicted values of V a − u and V a at different levels of Ca intake are summarized in Table 3. The present findings demonstrate that the predicted mean V a − u was approaching a plateau (defined as 95 % of the maximum V a − u) when the mean Ca intake reached 1300 mg/d.

Fig. 1 Observed individual values and predicted values (●●●, mean; ···, 95 % CI) of the true absorbed calcium (Ca) fraction in relation to Ca intake. For details of procedures, see pp. 161–163. The same markers represent replicate values for a given woman; the different markers represent twenty-one participants. The predicted values of V a were derived from a non-linear mixed-effect model: V a = (633+u 1)/[1+e(2·09 − 0·0035 × Ca intake)]. 95 % CI and P values of the parameters in the model are presented in Table 4.

Fig. 2 Observed individual values and predicted values (●●●, mean; ···, 95 % CI) of V a-u in relation to calcium (Ca) intake. For details of procedures, see pp. 161–163. The same markers represent replicate values for a given woman; the different markers represent twenty-one participants. The predicted values of V a-u were derived from a non-linear mixed-effect model: V a-u = (524+u 1)/[1+e(2·339 − 0·00 408 × Ca intake)] − 135·3. 95 % CI and P values of the parameters in the model are presented in Table 4.

Discussion

In this crossover study, we examined true Ca absorption and urinary Ca excretion in postmenopausal Chinese women after adaptation to three levels of Ca supplementation (0, 500 and 1000 mg/d). The decline in TFCA in response to an additional 500 mg/d was not statistically significant (0·57 v. 0·52). The statistically significant decline in TFCA following supplementation with 1000 mg/d (0·57 v. 0·43) agrees with the previously published inverse relationship between Ca intake and fractional absorption (Heaney & Recker, Reference Heaney and Recker1986). As expected, the V a, V a − u and urinary Ca increased significantly with Ca supplementation.

The TFCA in the subjects consuming their habitual diet (0·57 (sd 0·12)) was similar to that obtained in healthy 9–17-year-old north Chinese girls (0·60 (sd 0·14)) consuming on average 600 mg Ca/d (Lee et al. Reference Lee, Jiang, Hu, Hu, Roberts and Cheng2002). Other studies also using the double-isotope technique found a mean TFCA of 0·27 (sd 0·10) in Western women with a mean Ca intake of around 800 mg/d (Heaney & Recker, Reference Heaney and Recker1986; Heaney et al. Reference Heaney, Recker, Stegman and Moy1989). The subjects in the present study with a similar level of Ca intake (Phase B) had a TFCA of almost twice this value (0·52 (sd 0·12)). Potential reasons for the observed differences in TFCA are likely to include racial differences, life-long adaptation to low Ca intake especially in childhood, different Ca food sources and potential inter-laboratory errors (Fleming & Heimbach, Reference Fleming and Heimbach1994; Leung et al. Reference Leung, Ho, Woo, Lam and Janus1997).

Although the postmenopausal Chinese and the Caucasian women have similar levels of Ca intake after adjusting for body weight, the Ca intake is much lower in the Chinese during childhood (aged 5 years, 200–400 mg/d; Lee et al. Reference Lee, Leung, Ng, Wang, Xu, Zeng and Lau1993) and early adulthood than their American counterparts (aged 2–17 years, 921 mg/d; US Department of Agriculture, 1989). Life-long adaptation might thus contribute to the higher TFCA in the Chinese. So far, little is known about the effect of ethnicity on differences in TFCA between Caucasian and Chinese populations, and further studies are needed to address this issue.

TFCA was measured using a dual-isotope method as performed in previous studies (Abrams et al. Reference Abrams, Sidbury, Muenzer, Esteban, Vieira and Yergey1991; Heaney & Recker, Reference Heaney and Recker1994; Heaney & Skillman, Reference Heaney and Skillman1964). We used a similar approach to Eastell et al. (Reference Eastell, Vieira, Yergey and Riggs1989) in that the oral tracer was divided into three equal parts and then given to the subjects with the three main meals on the test day. The supplement was given as 250 mg (Phase B) or 500 mg (Phase C) twice daily. That the isotope doses were not given in parallel to the Ca supplements on the test day might result in an overestimation of the Ca absorption. Based on the regression equation [TFCA = 0Ċ889 − 0Ċ0537 × ln (Caload) ± 0Ċ095] by Heaney et al. (Reference Heaney, Weaver and Fitzsimmons1990), our method, as compared to the approach of equal Ca load and three equal isotope doses given, would overestimate the overall absorption by 3·2 % and 7·2 % at Phases B and C, respectively. The adjusted mean TFCA would thus be 0·50 and 0·40 at Phases B and C, respectively.

Urine Ca excretion is quite high in this population. Two, four and six subjects excreted urinary Ca of more than 250 mg/d during the intervention periods of 0, 500 and 1000 mg Ca/d, respectively. The mean urinary Ca excretion (175 (sd 59) mg/d) in subjects consuming their habitual diet was higher than that reported for Japanese (152 (sd 68) mg/d; Itoh et al. Reference Itoh, Nishiyama and Suyama1998) and Caucasian women (median 134, 5th to 95th percentile 55–264, mg/d) (Heaney et al. Reference Heaney, Recker and Ryan1999). The difference may be explained by other dietary and non-dietary factors that affect urinary Ca excretion such as sodium and protein intake, age and menopausal status.

In the present study, we found that the non-linear mixed-effects model could well describe the association of V a − u or V a with dietary Ca intake. Based on the model, it was predicted that the V a − u was approaching a plateau (defined as 95 % of estimated maximal V a − u) when the mean Ca intake reached 1300 mg/d. Although the association between the observed values of V a and Ca intake could be well fitted to the non-linear mixed-effects model, it was inappropriate to estimate the Ca intake that produces plateau absorption due to the limited test range of Ca intake in the present study. Moreover, it might not be valid to make any prediction using these models if a given Ca intake is out of the test range.

Very high values of mean V a − u (273 and 376 mg/d) were observed in the subjects in the present study at the phases of 500 and 1000 mg Ca intervention. It seems unphysiologic that so much Ca is accreted to bone on these intakes for a long time (such as over 1 or 2 years). The high apparent retention may be due to the bone remodelling being transient after the short-term sharp changes of Ca intake. Heaney (Reference Heaney2001) found that bone balance increased from − 20 mg Ca/d at baseline to the maximum value of ∼230 mg Ca/d during the transient period, and then decreased to ∼20 mg Ca/d after adaptation to 1 year bisphosphonate treatment of osteoporosis. On the other hand, the high V a − u might also be counteracted by an increase in endogenous faecal Ca excretion, and a moderate Ca balance would thus be expected in the subjects with Ca supplementation.

We found a significant negative association between PTH and Ca intake which is in agreement with other studies (Meier et al. Reference Meier, Woitge, Witte, Lemmer and Seibel2004; Pfeifer et al. Reference Pfeifer, Begerow, Minne, Nachtigall and Hansen2001). Secondary hyperparathyroidism in postmenopausal women and/or the elderly population increases bone resorption. The PTH levels were significantly lower ( − 23·6 %) during Phase C (+1000 mg Ca/d) compared to Phase A (habitual diet) (P < 0·05). All but one subject (104 pg/ml) had PTH values in the reference range (12·5–49·1 pg/ml).

Compared to habitual diet, the bone resorption marker, serum NTx, decreased on average by 7 % and 4 % in subjects supplemented with 1000 and 500 mg Ca/d, respectively. Others have reported a more pronounced reduction in urine NTx (25 %) in postmenopausal women with low habitual Ca intake after supplementation with 1200 mg Ca/d for 2 months (Kamel et al. Reference Kamel, Fardellone, Meddah, Lorget-Gondelmann, Sebert and Brazier1998).

We recognize that the relatively small sample size of the present study might limit the generalization of the results regarding TFCA, V a and V a − u in relation to Ca intake in postmenopausal Chinese women. Another limitation is that the foods during test periods were home prepared rather than controlled diets with constant Ca contents, suggesting larger day-to-day variation in Ca intake. Moreover, a 5-week adaptation period was too short to produce a long-term equilibrium regarding Ca kinetics and bone remodelling. A short-term adaptation to high Ca intake might also overestimate Ca absorption efficiency in this population with a habitually low Ca intake.

In conclusion, the present study demonstrates that postmenopausal Chinese women have a high level of Ca absorption efficiency. A minimum mean Ca intake of about 1300 mg/d is required to maximize V a − u.

Acknowledgements

The study was supported by the Centre for Nutritional Studies of the School of Public Health of The Chinese University of Hong Kong, and partially supported by the Research Grants Council of Hong Kong (CUHK 4162/00M). The authors would like to thank the participants for their enthusiastic participation and co-operation.

References

Abrams, SA, Sidbury, JB, Muenzer, J, Esteban, NV, Vieira, NE & Yergey, AL (1991) Stable isotopic measurement of endogenous fecal calcium excretion in children. J Pediatr Gastroenterol Nutr 12, 469473Google ScholarPubMed
Chen, YM (2003) Calcium Requirement Study in Chinese Postmenopausal Women. Hong Kong: The Chinese University of Hong KongGoogle Scholar
DeGrazia, JA, Ivanovich, P, Fellows, H & Rich, C (1965) A double isotope method for measurement of intestinal absorption of calcium in man. J Lab Clin Med 66, 822829Google ScholarPubMed
Eastell, R, Vieira, NE, Yergey, AL & Riggs, BL (1989) One-day test using stable isotopes to measure true fractional calcium absorption. J Bone Miner Res 4, 463468CrossRefGoogle ScholarPubMed
Fleming, KH & Heimbach, JT (1994) Consumption of calcium in the U.S.: food sources and intake levels. J Nutr 124, 1426S1430SCrossRefGoogle ScholarPubMed
Ge, KY, Zhai, FY & Yan, HC (1996) Dietary and Nutritional Status of the Chinese Population. Beijing: People's Medical Publishing House (in Chinese)Google Scholar
Gullberg, B, Johnell, O & Kanis, JA (1997) World-wide projections for hip fracture. Osteoporos Int 7, 407413CrossRefGoogle ScholarPubMed
Heaney, RP (1999) Age-related osteoporosis in Chinese women. Am J Clin Nutr 69, 12911292CrossRefGoogle ScholarPubMed
Heaney, RP (2001) The bone remodeling transient: interpreting interventions involving bone-related nutrients. Nutr Rev 59, 327334CrossRefGoogle ScholarPubMed
Heaney, RP & Recker, RR (1986) Distribution of calcium absorption in middle-aged women. Am J Clin Nutr 43, 299305CrossRefGoogle ScholarPubMed
Heaney, RP & Recker, RR (1994) Determinants of endogenous fecal calcium in healthy women. J Bone Miner Res 9, 16211627CrossRefGoogle ScholarPubMed
Heaney, RP, Recker, RR & Ryan, RA (1999) Urinary calcium in perimenopausal women: normative values. Osteoporos Int 9, 1318CrossRefGoogle ScholarPubMed
Heaney, RP, Recker, RR, Stegman, MR & Moy, AJ (1989) Calcium absorption in women: relationships to calcium intake, estrogen status, and age. J Bone Miner Res 4, 469475CrossRefGoogle Scholar
Heaney, RP & Skillman, TG (1964) Secretion and excretion of calcium by the human gastrointestinal tract. J Lab Clin Med 64, 2941Google ScholarPubMed
Heaney, RP, Weaver, CM & Fitzsimmons, ML (1990) Influence of calcium load on absorption fraction. J Bone Miner Res 5, 11351138CrossRefGoogle ScholarPubMed
Institute of Medicine Model for estimating calcium intake for desirable calcium retention (1997) In Dietary Reference Intakes for Calcium, Phosphorus, Magnesium, Vitamin D and Fluoride, pp. 394398[Standing Committee on the Scientific Evaluation of Dietary Reference Intakes, Food and Nutrition Board, editor]. Washington, DC: National Academy PressGoogle Scholar
Itoh, R, Nishiyama, N & Suyama, Y (1998) Dietary protein intake and urinary excretion of calcium: a cross-sectional study in a healthy Japanese population. Am J Clin Nutr 67, 438444CrossRefGoogle Scholar
Jackman, LA, Millane, SS, Martin, BR, Wood, OB, McCabe, GP, Peacock, M & Weaver, CM (1997) Calcium retention in relation to calcium intake and postmenarcheal age in adolescent females. Am J Clin Nutr 66, 327333CrossRefGoogle ScholarPubMed
Kamel, S, Fardellone, P, Meddah, B, Lorget-Gondelmann, F, Sebert, JL & Brazier, M (1998) Response of several markers of bone collagen degradation to calcium supplementation in postmenopausal women with low calcium intake. Clin Chem 44, 14371442CrossRefGoogle ScholarPubMed
Kung, AW, Luk, KD, Chu, LW & Chiu, PK (1998) Age-related osteoporosis in Chinese: an evaluation of the response of intestinal calcium absorption and calcitropic hormones to dietary calcium deprivation. Am J Clin Nutr 68, 12911297CrossRefGoogle ScholarPubMed
Lau, EM, Lee, JK, Suriwongpaisal, P, Saw, SM, Das, DS, Khir, A & Sambrook, P (2001) The incidence of hip fracture in four Asian countries: the Asian Osteoporosis Study (AOS). Osteoporos Int 12, 239243CrossRefGoogle ScholarPubMed
Lee, WT, Jiang, J, Hu, P, Hu, X, Roberts, DC & Cheng, JC (2002) Use of stable calcium isotopes (42Ca & 44Ca) in evaluation of calcium absorption in Beijing adolescents with low vitamin D status. Food Nutr Bull 23, 4247CrossRefGoogle ScholarPubMed
Lee, WT, Leung, SS, Fairweather-Tait, SJ, Leung, DM, Tsang, HS, Eagles, J, Fox, T, Wang, SH, Xu, YC & Zeng, WP (1994) True fractional calcium absorption in Chinese children measured with stable isotopes (42Ca and 44Ca). Br J Nutr 72, 883897CrossRefGoogle Scholar
Lee, WT, Leung, SS, Ng, MY, Wang, SF, Xu, YC, Zeng, WP & Lau, J (1993) Bone mineral content of two populations of Chinese children with different calcium intakes. Bone Miner 23, 195206CrossRefGoogle ScholarPubMed
Leung, SS, Ho, SC, Woo, J, Lam, TH & Janus, ED (1997) Hong Kong Adult Dietary Survey. Hong Kong: The Chinese University of Hong KongGoogle Scholar
Malm, OJ (1958) Calcium requirement and adaptation in adult man. Scand J Clin Lab Invest 10, 1290Google Scholar
Meier, C, Woitge, HW, Witte, K, Lemmer, B & Seibel, MJ (2004) Supplementation with oral vitamin D3 and calcium during winter prevents seasonal bone loss: a randomized controlled open-label prospective trial. J Bone Miner Res 19, 12211230CrossRefGoogle ScholarPubMed
Patterson, KY, Veillon, C, Hill, DA, Moser-Veillon, PB & O'Haver, TC (1999) Measurement of calcium stable isotope tracers using cool plasma ICP-MS. J Anal Atom Spectrom 14, 16731677CrossRefGoogle Scholar
Pfeifer, M, Begerow, B, Minne, HW, Nachtigall, D & Hansen, C (2001) Effects of a short-term vitamin D3 and calcium supplementation on blood pressure and parathyroid hormone levels in elderly women. J Clin Endocrinol Metab 86, 16331637Google ScholarPubMed
Pinheiro, J & Bates, DM (1995) Approximations to the log-likelihood function in the nonlinear mixed-effects model. J Comput Graph Stat 4, 1235Google Scholar
Turnlund, JR, Keyes, WR & Scott, KC (1993) Isotope ratios of calcium determined in calcium-46 enriched samples from infants by automated multiple-collector thermal ionization mass spectrometry. J Anal Atom Spectrom 8, 983987CrossRefGoogle Scholar
US Department of Agriculture (1989) Nationwide Food Consumption Survey, pp. 19871988. Washington, DC: US Government Printing OfficeGoogle Scholar
US Department of Health, Education and Welfare, Food and Agriculture Organization of the United Nations (1972) Food Composition Table for Use in East Asia. Bethesda, MD: National Institutes of HealthGoogle Scholar
Wang, G (1991) Food Composition Tables. Beijing: People's Medical Publishing House (in Chinese)Google Scholar
Weaver, CM, Heaney, RP, Nickel, KP & Packard, PI (1997) Calcium bioavailability from high oxalate vegetables: Chinese vegetables, sweet potatoes and rhubarb. J Food Sci 62, 524525CrossRefGoogle Scholar
Woo, J, Leung, SS, Ho, SC, Lam, TH & Janus, ED (1998) Dietary intake and practices in the Hong Kong Chinese population. J Epidemiol Community Health 52, 631637CrossRefGoogle ScholarPubMed
Figure 0

Table 1 Baseline characteristics of the subjects (n 21)

Figure 1

Table 2 Means of parameters on calcium metabolism by the calcium intervention doses‡

Figure 2

Table 3 Predicted value of true absorbed calcium fraction (Va) and Va-u in relation to calcium intakes‡

Figure 3

Table 4 Parameters of the non-linear mixed-effect model describing the associations of Va and Va-u with calcium intake‡

Figure 4

Fig. 1 Observed individual values and predicted values (●●●, mean; ···, 95 % CI) of the true absorbed calcium (Ca) fraction in relation to Ca intake. For details of procedures, see pp. 161–163. The same markers represent replicate values for a given woman; the different markers represent twenty-one participants. The predicted values of Va were derived from a non-linear mixed-effect model: Va = (633+u1)/[1+e(2·09 − 0·0035 × Ca intake)]. 95 % CI and P values of the parameters in the model are presented in Table 4.

Figure 5

Fig. 2 Observed individual values and predicted values (●●●, mean; ···, 95 % CI) of Va-u in relation to calcium (Ca) intake. For details of procedures, see pp. 161–163. The same markers represent replicate values for a given woman; the different markers represent twenty-one participants. The predicted values of Va-u were derived from a non-linear mixed-effect model: Va-u = (524+u1)/[1+e(2·339 − 0·00 408 × Ca intake)] − 135·3. 95 % CI and P values of the parameters in the model are presented in Table 4.