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Je M, Kang K, Yoo JI, Kim Y. The Influences of Macronutrients on Bone Mineral Density, Bone Turnover Markers, and Fracture Risk in Elderly People: A Review of Human Studies. Nutrients 2023; 15:4386. [PMID: 37892460 PMCID: PMC10610213 DOI: 10.3390/nu15204386] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2023] [Revised: 09/24/2023] [Accepted: 09/26/2023] [Indexed: 10/29/2023] Open
Abstract
Osteoporosis is a health condition that involves weak bone mass and a deteriorated microstructure, which consequently lead to an increased risk of bone fractures with age. In elderly people, a fracture attributable to osteoporosis elevates mortality. The objective of this review was to examine the effects of macronutrients on bone mineral density (BMD), bone turnover markers (BTMs), and bone fracture in elderly people based on human studies. A systematic search was conducted in the PubMed®/MEDLINE® database. We included human studies published up to April 2023 that investigated the association between macronutrient intake and bone health outcomes. A total of 11 meta-analyses and 127 individual human studies were included after screening the records. Carbohydrate consumption seemed to have neutral effects on bone fracture in limited studies, but human studies on carbohydrates' effects on BMD or/and BTMs are needed. The human studies analyzed herein did not clearly show whether the intake of animal, vegetable, soy, or milk basic proteins has beneficial effects on bone health due to inconsistent results. Moreover, several individual human studies indicated an association between eicosapentaenoic acid (EPA), docosahexaenoic acid (DHA), and osteocalcin. Further studies are required to draw a clear association between macronutrients and bone health in elderly people.
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Affiliation(s)
- Minkyung Je
- Department of Food and Nutrition, Gyeongsang National University, 501 Jinju-daero, Jinju 52828, Republic of Korea; (M.J.); (K.K.)
| | - Kyeonghoon Kang
- Department of Food and Nutrition, Gyeongsang National University, 501 Jinju-daero, Jinju 52828, Republic of Korea; (M.J.); (K.K.)
| | - Jun-Il Yoo
- Department of Orthopaedic Surgery, Inha University Hospital, 27 Inhang-Ro, Incheon 22332, Republic of Korea;
| | - Yoona Kim
- Department of Food and Nutrition, Institute of Agriculture and Life Science, Gyeongsang National University, 501 Jinju-daero, Jinju 52828, Republic of Korea
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Murat S, Dogruoz Karatekin B, Demirdag F, Kolbasi EN. Anthropometric and Body Composition Measurements Related to Osteoporosis in Geriatric Population. Medeni Med J 2021; 36:294-301. [PMID: 34937323 PMCID: PMC8694162 DOI: 10.4274/mmj.galenos.2021.32396] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/01/2022] Open
Abstract
Objective: This study aimed to evaluate different anthropometric and body composition measurements, including weight, body mass index (BMI), body fat percentage (fat%), skeletal muscle index (SMI), a body shape index (ABSI), waist circumference (WC), and hip circumference (HC), in relation to bone mineral density. Methods: This is a cross-sectional study of a total of 482 patients who consulted the geriatric outpatient clinic between 2018 and 2019. Patients were evaluated with dual-energy X-ray absorptiometry. Anthropometric measurements (HC, WC, weight, BMI, and ABSI), as well as body composition analysis (fat% and SMI) by bioimpedance analysis system, were performed. The patients were evaluated with the rapid Assessment of Physical Activity Index in terms of aerobic exercise habits. Results: There was a significant correlation between lumbar spine (LS) T-score and SMI (r=0.36, p=0.000) and between LS T-score and weight (r=0.21, p=0.000), BMI (r=0.10, p=0.045) and WC (r=0.15, p=0.001). There was a statistically significant correlation between femur neck (FN) T-score and fat% (r=0.15, p=0.001), SMI (r=0.15, p=0.010), weight (r=0.22, p=0.000), BMI (r=0.20, p=0.000), WC (r=0.14, p=0.003), and HC (r=0.17, p=0.001). There was no statistically significant correlation between physical activity and LS T-score (n=353, r=0.08, p=0.16) and FN T-score (n=360, r=0.03, p=0.53). In multiple regression analysis, SMI contributes most in predicting FN and LS T-scores. Conclusions: Anthropometric measurements should be carefully selected in the geriatric population. Among the measurements, the strongest relationship was found between LS T-score and SMI.
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Affiliation(s)
- Sadiye Murat
- Istanbul Medeniyet University Goztepe Prof. Dr. Suleyman Yalcin City Hospital, Department of Physical Medicine and Rehabilitation, Istanbul, Turkey
| | - Bilinc Dogruoz Karatekin
- Istanbul Medeniyet University Goztepe Prof. Dr. Suleyman Yalcin City Hospital, Department of Physical Medicine and Rehabilitation, Istanbul, Turkey
| | - Filiz Demirdag
- Goztepe Prof. Dr. Suleyman Yalcin City Hospital, Clinic of Internal Medicine, Division of Geriatrics, Istanbul, Turkey
| | - Esma Nur Kolbasi
- Istanbul Medeniyet University Faculty of Health Sciences, Physiotherapy and Rehabilitation, Istanbul, Turkey
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Deng G, Yin L, Li K, Hu B, Cheng X, Wang L, Zhang Y, Xu L, Xu S, Zhu L, Shao J, Hao X, Zhou J, Tang J, Li W, Jiang Y, Cheng X. Relationships between anthropometric adiposity indexes and bone mineral density in a cross-sectional Chinese study. Spine J 2021; 21:332-342. [PMID: 33091612 DOI: 10.1016/j.spinee.2020.10.019] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/26/2020] [Revised: 09/18/2020] [Accepted: 10/14/2020] [Indexed: 02/03/2023]
Abstract
BACKGROUND CONTEXT Previous studies have reported conflicting results for the relationships between anthropometric adiposity indexes and bone mineral density, based on dual-energy X-ray absorptiometry (DXA). However, few studies were published based on quantitative computed tomography (QCT), especially for Chinese population. PURPOSE To evaluate the associations of spine bone mineral density (BMD) with body mass index (BMI), waist circumstance (WC), waist-to-hip ratio (WHR), waist-to-height ratio (WHtR) and a body shape index (ABSI) using QCT. STUDY DESIGN/SETTING A Cross-sectional study. PATIENT SAMPLE Around 3,457 participants in multiple communities across 7 administrative regions of China. OUTCOME MEASURES Spine BMD was measured using QCT, and the classification of osteoporosis was defined as follows: 1) osteoporosis if BMD <80mg/cm3, 2) osteopenia if BMD 80-119 mg/cm3, and 3) normal bone mass if BMD≥120 mg/cm3. METHODS This study was conducted using convenient sampling between 2013 and 2017. Multivariable linear regression model and logistic regression models were used for the associations of continuous and categorical BMD, respectively. RESULTS Around 3,405 participants were included in the final analyses, including 1,272 males and 2,133 females, with spine BMD of 111.00±35.47 mg/cm3 and 99.38±40.60 mg/cm3, respectively. Spine BMD decreased significantly with the increase of ABSI in females (adjusted β, -5.74; 95% confidence interval [CI], -8.50 to -2.98), and this trend also was kept in females aged at less than 60 years (adjusted β, -14.54; 95% CI, -20.40 to -8.68), and females with age ≥60 years (adjusted β, -7.59; 95% CI, -10.91 to -4.28). However, this inverse association was observed only in males with age ≥ 60 years (adjusted β, -5.19; 95% CI, -10.08 to -0.29). Except ABSI, negative associations of Spine BMD with WC (adjusted β, -0.46; 95% CI, -0.77 to -0.15), WHR (adjusted β, -6.25; 95% CI, -10.63 to -1.86), WHtR (adjusted β, -6.80; 95% CI, -11.63 to -1.97) were shown in females aged at <60 years, and positive association with BMI in males with age ≥60 years (adjusted β, 0.92; 95% CI, 0.29-1.55). CONCLUSIONS ABSI had more remarkable association with spine BMD, compared with the other four indexes.
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Affiliation(s)
- Guijuan Deng
- Medical Research and Biometrics Center, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Fuwai Hospital, Beijing, China; School of Public Health, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Lu Yin
- Medical Research and Biometrics Center, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Fuwai Hospital, Beijing, China
| | - Kai Li
- Department of Radiology, Beijing Jishuitan Hospital, Beijing, China
| | - Bo Hu
- Medical Research and Biometrics Center, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Fuwai Hospital, Beijing, China
| | - Xiaoru Cheng
- Medical Research and Biometrics Center, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Fuwai Hospital, Beijing, China
| | - Ling Wang
- Department of Radiology, Beijing Jishuitan Hospital, Beijing, China
| | - Yong Zhang
- Department of Radiology, Beijing Jishuitan Hospital, Beijing, China
| | - Li Xu
- Department of Radiology, Beijing Jishuitan Hospital, Beijing, China
| | - Shaoqi Xu
- Department of Radiology, Nanjing University of Chinese Medicine Affiliated Wujin Hospital of Traditional Chinese Medicine, Changzhou 213161, China
| | - Lei Zhu
- Department of Radiology, The People's Hospital of Dayi County, Chengdu, China
| | - Jiman Shao
- Department of Radiology, The Affiliated Hospital of Jiangxi University of Traditional Chinese Medicine, Nanchang, China
| | - Xiaoguang Hao
- Department of Radiology, Taiyuan Central Hospital, Taiyuan, China
| | - Jun Zhou
- Department of Radiology, The Fourth People's Hospital of Shenyang, Shenyang, China
| | | | - Wei Li
- Medical Research and Biometrics Center, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Fuwai Hospital, Beijing, China.
| | - Yu Jiang
- School of Public Health, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
| | - Xiaoguang Cheng
- Department of Radiology, Beijing Jishuitan Hospital, Beijing, China.
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Park S, Kang S, Kim DS. Severe calcium deficiency increased visceral fat accumulation, down-regulating genes associated with fat oxidation, and increased insulin resistance while elevating serum parathyroid hormone in estrogen-deficient rats. Nutr Res 2020; 73:48-57. [DOI: 10.1016/j.nutres.2019.09.008] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2019] [Revised: 09/17/2019] [Accepted: 09/17/2019] [Indexed: 12/30/2022]
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Wright HH, Kruger MC, Schutte WD, Wentzel-Viljoen E, Kruger IM, Kruger HS. Magnesium Intake Predicts Bone Turnover in Postmenopausal Black South African Women. Nutrients 2019; 11:nu11102519. [PMID: 31635369 PMCID: PMC6836205 DOI: 10.3390/nu11102519] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2019] [Revised: 10/15/2019] [Accepted: 10/15/2019] [Indexed: 12/28/2022] Open
Abstract
This prospective study investigated the association between nutrient intake, dietary patterns, and changes in bone turnover and bone mineral density (BMD) in postmenopausal urban black South African women over two years. These women (n = 144) underwent BMD measurements at the distal radius, lumbar spine, femoral neck (FN), as well as a biochemical analysis which included the parathyroid hormone (PTH), 25-hydroxyvitamin D, C-Telopeptide of type I collagen (CTX-1) in 2010 and 2012. Their dietary intake was assessed in 2010 using a food frequency questionnaire, and sociodemographic and health information was collected. Four dietary patterns explained 54.4% of the variance of dietary intake, namely staple foods and processed meats, home cooking, snacking, and high sugar. Dietary magnesium negatively correlated with CTx-1 in 2012 (r = −0.21, p = 0.02), calcium correlated with distal radius BMD in 2010 (r = 0.22, p = 0.01) and 2012 (r = 0.24, p = 0.005), and the snacking dietary pattern score correlated with FN BMD in 2010 (r = 0.18, p = 0.03) and 2012 (r = 0.21, p = 0.02). The baseline CTx-1 and dietary magnesium intake predicted 22% of the variance in percentage change of CTx-1 over two years (p < 0.001).The magnesium intake predicted short-term bone resorption over two years.
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Affiliation(s)
- Hattie H Wright
- School of Health and Sport Sciences, University of the Sunshine Coast, Maroochydore 4556, Australia.
- Centre of Excellence for Nutrition, North-West University, Potchefstroom 2520, South Africa.
| | - Marlena C Kruger
- School of Health Sciences, Massey University, Palmerston North 4410, New Zealand.
| | - Willem D Schutte
- Centre for Business Mathematics and Informatics, North-West University, Potchefstroom 2520, South Africa.
| | | | - Iolanthe M Kruger
- Africa Unit for Transdisciplinary Health Research, North-West University, Potchefstroom 2520, South Africa.
| | - Herculina S Kruger
- Centre of Excellence for Nutrition, North-West University, Potchefstroom 2520, South Africa.
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Bierhals IO, Dos Santos Vaz J, Bielemann RM, de Mola CL, Barros FC, Gonçalves H, Wehrmeister FC, Assunção MCF. Associations between body mass index, body composition and bone density in young adults: findings from a southern Brazilian cohort. BMC Musculoskelet Disord 2019; 20:322. [PMID: 31288773 PMCID: PMC6617655 DOI: 10.1186/s12891-019-2656-3] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/22/2019] [Accepted: 05/27/2019] [Indexed: 12/24/2022] Open
Abstract
BACKGROUND This study aimed to evaluate the association of body composition components and obesity with bone density. METHODS Prospective study with data on 2968 members of the 1993 Pelotas Birth Cohort from follow-ups at 18 and 22 years of age. Areal bone mineral density (aBMD, g/cm2) was evaluated for whole body, lumbar spine, and femoral neck at 22 years using dual-energy X-ray absorptiometry. Simple and multiple linear regression, stratified by sex, were used to assess the effect of BMI, fat mass (FMI) and lean mass index (LMI), evaluated at 18 and 22 years, and obesity trajectories classified by FMI and categorized as "never", "only at 18 years", "only at 22 years" or "always" on aBMD. RESULTS Among men, the largest coefficients were observed for BMI, followed by lean mass and fat mass. Compared to fat mass, lean mass presented the largest coefficients for all sites, with the strongest associations observed for the femoral neck (β: 0.035 g/cm2; 95% CI: 0.031; 0.039 for both follow-ups), while the largest effect for FMI was observed for whole-body aBMD at 18 years (β: 0.019 g/cm2; 95% CI: 0.014; 0.024). Among women, the strongest associations were observed for LMI. The largest coefficients for LMI and FMI were observed for femoral neck at age 18, presented β: 0.030 g/cm2, 95% CI: 0.026, 0.034 for LMI and β: 0.012 g/cm2; 95% CI: 0.009; 0.015) for FMI. Men who were "always obese" according to FMI had smallest aBMD for spine (β: -0.014; 95%CI: - 0.029; - 0.001). Women who were obese "only at 18 years" had smallest aBMD for the whole-body (β: -0.013; 95%CI: - 0.023; - 0.002), whereas those who were obese "only at 22 years" had larger whole-body and femoral neck aBMD (β: 0.013; 95%CI: 0.009; 0.017 and β: 0.027; 95%CI: 0.016; 0.038, respectively) and those "always obese" for whole-body aBMD (β: 0.005; 95%CI: 0.001; 0.011) compared to the reference category. CONCLUSIONS The indexes were positively associated with aBMD in this sample. Fat mass had smaller positive influence on these outcomes than lean mass, suggesting the most important body composition component for bone density is the lean mass.
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Affiliation(s)
- Isabel Oliveira Bierhals
- Postgraduate Program in Epidemiology, Federal University of Pelotas, Rua Marechal Deodoro, 1160 - 3o andar, Pelotas/RS, 96020-220, Brazil.
| | - Juliana Dos Santos Vaz
- Postgraduate Program in Epidemiology, Federal University of Pelotas, Rua Marechal Deodoro, 1160 - 3o andar, Pelotas/RS, 96020-220, Brazil
| | - Renata Moraes Bielemann
- Postgraduate Program in Epidemiology, Federal University of Pelotas, Rua Marechal Deodoro, 1160 - 3o andar, Pelotas/RS, 96020-220, Brazil
| | - Christian Loret de Mola
- Postgraduate Program in Epidemiology, Federal University of Pelotas, Rua Marechal Deodoro, 1160 - 3o andar, Pelotas/RS, 96020-220, Brazil
| | - Fernando Celso Barros
- Postgraduate Program in Epidemiology, Federal University of Pelotas, Rua Marechal Deodoro, 1160 - 3o andar, Pelotas/RS, 96020-220, Brazil
| | - Helen Gonçalves
- Postgraduate Program in Epidemiology, Federal University of Pelotas, Rua Marechal Deodoro, 1160 - 3o andar, Pelotas/RS, 96020-220, Brazil
| | - Fernando César Wehrmeister
- Postgraduate Program in Epidemiology, Federal University of Pelotas, Rua Marechal Deodoro, 1160 - 3o andar, Pelotas/RS, 96020-220, Brazil
| | - Maria Cecília Formoso Assunção
- Postgraduate Program in Epidemiology, Federal University of Pelotas, Rua Marechal Deodoro, 1160 - 3o andar, Pelotas/RS, 96020-220, Brazil
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Darling AL, Manders RJF, Sahni S, Zhu K, Hewitt CE, Prince RL, Millward DJ, Lanham-New SA. Dietary protein and bone health across the life-course: an updated systematic review and meta-analysis over 40 years. Osteoporos Int 2019; 30:741-761. [PMID: 30903209 DOI: 10.1007/s00198-019-04933-8] [Citation(s) in RCA: 36] [Impact Index Per Article: 7.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/27/2018] [Accepted: 03/04/2019] [Indexed: 12/31/2022]
Abstract
We undertook a systematic review and meta-analysis of published papers assessing dietary protein and bone health. We found little benefit of increasing protein intake for bone health in healthy adults but no indication of any detrimental effect, at least within the protein intakes of the populations studied. This systematic review and meta-analysis analysed the relationship between dietary protein and bone health across the life-course. The PubMed database was searched for all relevant human studies from the 1st January 1976 to 22nd January 2016, including all bone outcomes except calcium metabolism. The searches identified 127 papers for inclusion, including 74 correlational studies, 23 fracture or osteoporosis risk studies and 30 supplementation trials. Protein intake accounted for 0-4% of areal BMC and areal BMD variance in adults and 0-14% of areal BMC variance in children and adolescents. However, when confounder adjusted (5 studies) adult lumbar spine and femoral neck BMD associations were not statistically significant. There was no association between protein intake and relative risk (RR) of osteoporotic fractures for total (RR(random) = 0.94; 0.72 to 1.23, I2 = 32%), animal (RR (random) = 0.98; 0.76 to 1.27, I2 = 46%) or vegetable protein (RR (fixed) = 0.97 (0.89 to 1.09, I2 = 15%). In total protein supplementation studies, pooled effect sizes were not statistically significant for LSBMD (total n = 255, MD(fixed) = 0.04 g/cm2 (0.00 to 0.08, P = 0.07), I2 = 0%) or FNBMD (total n = 435, MD(random) = 0.01 g/cm2 (-0.03 to 0.05, P = 0.59), I2 = 68%). There appears to be little benefit of increasing protein intake for bone health in healthy adults but there is also clearly no indication of any detrimental effect, at least within the protein intakes of the populations studied (around 0.8-1.3 g/Kg/day). More studies are urgently required on the association between protein intake and bone health in children and adolescents.
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Affiliation(s)
- A L Darling
- Department of Nutritional Sciences, School of Biosciences and Medicine, Faculty of Health and Medical Sciences, University of Surrey, Guildford, GU2 7XH, UK.
| | - R J F Manders
- Department of Nutritional Sciences, School of Biosciences and Medicine, Faculty of Health and Medical Sciences, University of Surrey, Guildford, GU2 7XH, UK
| | - S Sahni
- Hinda and Arthur Marcus Institute for Aging Research, Hebrew SeniorLife, 1200 Centre St, Boston, MA, 02131, USA
- Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, 330 Brookline Ave, Boston, MA, 02215, USA
| | - K Zhu
- Department of Endocrinology and Diabetes, Sir Charles Gairdner Hospital, Nedlands, Western Australia, Australia
- Medical School, University of Western Australia, Crawley, Western Australia, Australia
| | - C E Hewitt
- York Trials Unit, Department of Health Sciences, University of York, York, UK
| | - R L Prince
- Department of Endocrinology and Diabetes, Sir Charles Gairdner Hospital, Nedlands, Western Australia, Australia
- Medical School, University of Western Australia, Crawley, Western Australia, Australia
| | - D J Millward
- Department of Nutritional Sciences, School of Biosciences and Medicine, Faculty of Health and Medical Sciences, University of Surrey, Guildford, GU2 7XH, UK
| | - S A Lanham-New
- Department of Nutritional Sciences, School of Biosciences and Medicine, Faculty of Health and Medical Sciences, University of Surrey, Guildford, GU2 7XH, UK
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Dostal AM, Arikawa A, Espejo L, Kurzer MS. Long-Term Supplementation of Green Tea Extract Does Not Modify Adiposity or Bone Mineral Density in a Randomized Trial of Overweight and Obese Postmenopausal Women. J Nutr 2016; 146:256-64. [PMID: 26701796 PMCID: PMC4725430 DOI: 10.3945/jn.115.219238] [Citation(s) in RCA: 52] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2015] [Accepted: 11/17/2015] [Indexed: 12/31/2022] Open
Abstract
BACKGROUND Green tea extract (GTE) consumption has been linked to favorable changes in adiposity and bone mineral density (BMD), although it is unknown if these effects are due to green tea catechins or caffeine. The catechol-O-methyltransferase (COMT) genotype may also modify these associations. OBJECTIVE We examined the impact of decaffeinated GTE on body composition (using dual-energy X-ray absorptiometry) and obesity-associated hormones. METHODS The Minnesota Green Tea Trial was a 12-mo randomized, double-blind, placebo-controlled clinical trial in 937 postmenopausal women (aged 50-70 y) assigned to receive either GTE containing 843 mg (-)-epigallocatechin-3-gallate or placebo. This substudy was conducted in 121 overweight/obese participants [body mass index (BMI) (kg/m(2)) ≥25.0]. RESULTS There were no differences in changes in BMI (-0.13 ± 0.11 compared with -0.05 ± 0.11; P = 0.61), total fat mass (-0.30 ± 0.16 compared with -0.12 ± 0.15 kg; P = 0.40), percentage of body fat (-0.15% ± 0.17% compared with -0.15% ± 0.16%; P = 0.99), or BMD (-0.006 ± 0.002 compared with -0.003 ± 0.002 g/cm(2); P = 0.49) over 12 mo between women taking GTE (n = 61) and those taking a placebo (n = 60). Interactions were observed between treatment and time for gynoid percentage of fat (%fat) and tissue %fat. Gynoid %fat increased from baseline to month 12 in the placebo group as baseline BMI increased and decreased over time as baseline BMI increased in the GTE group (P-interaction = 0.02). Tissue %fat increased from baseline to month 12 in the placebo group as baseline BMI increased. In the GTE group, tissue %fat decreased during the intervention as baseline BMI increased (P-interaction = 0.04). No changes were seen in circulating leptin, ghrelin, adiponectin, or insulin concentrations. COMT genotype did not modify the effect of GTE on any variable. CONCLUSIONS Decaffeinated GTE was not associated with overall reductions in adiposity or improvements in BMD in overweight/obese postmenopausal women. However, GTE may be beneficial for reduction in tissue and gynoid %fat in individuals with higher BMI. This clinical trial was registered at www.clinicaltrials.gov as NCT00917735.
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Affiliation(s)
- Allison M Dostal
- Department of Food Science and Nutrition, University of Minnesota, St. Paul, MN; and
| | - Andrea Arikawa
- Department of Nutrition and Dietetics, University of North Florida, Jacksonville, FL
| | - Luis Espejo
- Department of Food Science and Nutrition, University of Minnesota, St. Paul, MN; and
| | - Mindy S Kurzer
- Department of Food Science and Nutrition, University of Minnesota, St. Paul, MN; and
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