Journal List > Korean J Community Nutr > v.21(3) > 1038546

Jeong, Kim, Shin, Han, Seo, and Sohn: Relationship between Bone Mineral Density and Bone Metabolic Biochemical Markers and Diet Quality Index-International(DQI-I) in Postmenopausal Obese Women

Abstract

Objectives

This study compared the differences of postmenopausal women's bone mineral density in relation to the degree of obesity, metabolism index and dietary factors that affect bone mineral density.

Methods

The subjects included in the study are 39 postmenopausal women of normal weight with body mass index less than 25 kg/m2 and 32 postmenopausal who are obese. Anthropometry and biochemical analysis were performed and nutrient intakes and DQI-I were assessed.

Results

Normal weight women were 56.03 ± 3.76 years old and obese women were 58.09 ± 5.13 years old and there was no significant difference in age between the two groups. The T-score of bone mineral density was 0.03 ± 1.06 in normal weight women and −0.60 ± 1.47 in obese women and this was significantly different between the two groups (p<0.05). Blood Leptin concentration was significantly lower in normal weight women (6.09 ± 3.37 ng/mL) compared to obese women in (9.01 ± 4.99 ng/mL) (p<0.05). The total score of diet quality index-international was 70.41±9.34 in normal weight women and 64.93 ± 7.82 in obese women (p<0.05). T-score of bone mineral density showed negative correlations with percentage of body fat (r = −0.233, p=0.05), BMI (r = −0.197, p=0.017), triglyceride (r = −0.281, p=0.020) and leptin (r = −0.308, p=0.011). The results of multiple regression analysis performed as the method of entry showed that with 22.0% of explanation power, percentage of body fat (β =−0.048, p<0.05), triglyceride (β=−0.005, p<0.05) and HDL-cholesterol (β=0.034, p<0.01), moderation of DQI-I (β=−0.231, p<0.05) affected T-score significantly.

Conclusions

The results of the study showed that obese women have less bone density than those with normal weight women. In addition, the factor analysis result that affect bone mineral density showed that intake of fat is a very important factor. Therefore, postmenopausal women need to maintain normal weight and manage blood lipid levels within normal range. They also need to take various sources of protein and reduce consumption of empty calorie foods that have high calories, fat, cholesterol and sodium.

Figures and Tables

Table 1

Comparison of anthropometric measurements

kjcn-21-284-i001

1) Mean±SD

*: p < 0.05 Significantly different between postmenopausal normal women and obese women by Student t-test

Table 2

Comparison of biochemical indices of subjects

kjcn-21-284-i002

1) Mean±SD

2) CTx: C-terminal telopeptides of Type l collagen

*: p < 0.05 Significantly different between postmenopausal normal women and obese women by Student t-test

Table 3

Comparison of bone mineral density of subjects

kjcn-21-284-i003

1) Mean±SD

*: p < 0.05 Significantly different between postmenopausal normal women and obese women by Student t-test

Table 4

Nutrient intakes compared to 1,000 kcal energy intake

kjcn-21-284-i004

1) Mean±SD

*: p < 0.05 Significantly different between postmenopausal normal women and obese women by Student t-test

Table 5

Diet Quality Index-International (DQI-I)

kjcn-21-284-i005

1) Mean±SD

2) PUFA: Polyunsaturated Fatty Acid, MUFA: Monounsaturated Fatty Acid, SFA: Saturated Fatty Acid

*: p < 0.05, **: p < 0.01 Significantly different between postmenopausal normal women and obese women by Student t-test

Table 6

Correlation of bone mineral density (T-score) with related anthropometric and biochemical index

kjcn-21-284-i006
Table 7

Correlation of bone mineral density (T-score) with related Diet Quality Index-International

kjcn-21-284-i007
Table 8

Multiple regression analysis on bone mineral density (T-score) by anthropometric and biochemical index and Diet Quality Index-International

kjcn-21-284-i008

Adjusted for age, weight, height, dietary supplement, hormonal replacement therapy

Acknowledgments

This research was supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Science, ICT and Future Planning (project no.: NRF- 2012R1A1A3012499).

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Cheongmin Sohn
https://orcid.org/http://orcid.org/0000-0003-0529-7037

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