Association Between Bone Mineral Density and Nutritional Status, Body Composition and Bone Metabolism in Older Adults

Vieira, Nathalia Fidelis Lins; Nascimento, Janaína da Silva; Nascimento, Carlos Queiroz do; Neto, João Araújo Barros; Santo, A C S Oliveira Dos

doi:10.1007/s12603-020-1452-y

Cited by 17 publications

(13 citation statements)

References 24 publications

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“…In our study, increasing BMI was inversely related to low BMD. This conclusion is similar to that of previous studies [ 34 ]. Two mechanisms have been proposed for this phenomenon.…”

Section: Discussionsupporting

confidence: 94%

Environmental and personal factors for osteoporosis or osteopenia from a large health check-up database: a retrospective cohort study in Taiwan

Chung

Chan

2022

BMC Public Health

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Background Osteoporosis is an important public health issue in aging societies because of its associated morbidity, mortality, and decreased quality of life. The study aims to identify the association of low bone mineral density, including osteoporosis and osteopenia, with environmental and personal factors. Methods The data of participants aged ≥ 20 years with multiple visits were obtained from a health check-up database in Taiwan from 2008 to 2016. Multivariable logistic regressions were performed to identify the selected factors associated with low bone mineral density for multiple visit data. Results A total of 194,910 participants with 359,943 visits were included in this study. The prevalence of low bone mineral density (BMD) in the study population was 10.6% (n = 20.615). Older women, ever and current smokers (odds ratio (OR) = 1.04 [95% confidence interval (CI) = 1.01, 1.08]), or participants who were underweight (OR = 1.72 [1.64, 1.81]), consumed a vegetarian diet (OR = 1.32 [1.25, 1.39]), or had higher triglyceride levels (OR = 1.04 [1.01, 1.06]) were significantly associated with a higher risk of low BMD. Participants who had higher educational years (OR = 0.43 [0.41, 0.46]), higher physical activity (OR = 0.93 [0.89, 0.97]), appropriate sleep duration and better quality (OR = 0.98 [0.97, 0.99]), dairy intake (≥ 1 slice of yogurt or cheese/week, OR = 0.97 [0.95, 0.99]), higher uric acid (OR = 0.93 [0.91, 0.95]), higher walkability (OR = 0.997 [0.995,0.999]), and higher solar radiation exposure (OR = 0.997 [0.97,0.99]) were significantly associated with a lower risk of low BMD. Conclusion Interventions in different directions, such as having better health behaviors, increasing sun exposure, and residing in a highly walkable environment, are beneficial for reducing the risk of low BMD.

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“…In our study, increasing BMI was inversely related to low BMD. This conclusion is similar to that of previous studies [ 34 ]. Two mechanisms have been proposed for this phenomenon.…”

Section: Discussionsupporting

confidence: 94%

Environmental and personal factors for osteoporosis or osteopenia from a large health check-up database: a retrospective cohort study in Taiwan

Chung

Chan

2022

BMC Public Health

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“…Reporting normative data from nearly 100 adult temporal bones, this work demonstrates that cochlear promontory thickness exhibits a wide range across subjects, from 0.55 to 1.85 mm. Cochlear promontory thickness was statistically significantly greater among men and with increasing body mass index, paralleling existing literature surrounding bone mineral density in adults 9–11 . Interestingly, those with a clinical diagnosis of osteopenia or osteoporosis diagnosed by DEXA scan according to the World Health Organization criteria had significantly decreased cochlear promontory thickness 6 .…”

Section: Discussionsupporting

confidence: 76%

“…Cochlear promontory thickness was statistically significantly greater among men and with increasing body mass index, paralleling existing literature surrounding bone mineral density in adults. 9 , 10 , 11 Interestingly, those with a clinical diagnosis of osteopenia or osteoporosis diagnosed by DEXA scan according to the World Health Organization criteria had significantly decreased cochlear promontory thickness. 6 Taken together, these findings help characterize cochlear promontory thickness with the most direct application surrounding the use of subendosteal and transpromontory electrode placement techniques.…”

Section: Discussionmentioning

confidence: 99%

Cochlear promontory anatomy relevant to development of subendosteal and transpromontory electrodes using 192‐section ultra‐high resolution temporal bone CT imaging

Marinelli

Patel

Lohse

et al. 2022

Laryngoscope Investig Oto

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Objective To characterize normative adult ranges for cochlear promontory thickness relevant to the development of subendosteal and transpromontory electrodes to rehabilitate various neurotologic disorders. Patients Adults (≥18 years). Intervention In vivo radiologic assessment using a 192‐slice CT scanner (Force‐192; Siemens Healthcare) with ultrahigh‐resolution scan mode combined and iterative reconstruction. Main Outcome Measure Cochlear promontory thickness. Results Among 48 included patients (96 ears), the mean (SD) age was 56 (18) years (range 25–94) and included 25 (52%) women. Of that 12 patients (25%) had osteopenia (n = 6) or osteoporosis (n = 6). The mean (SD) body mass index was 28 (5) kg/m2. The mean (SD) promontory thickness for the 96 temporal bones under study was 1.22 (0.24) mm (range 0.55–1.85). There was not a statistically significant association between age and promontory thickness (correlation coefficient .08; p = .44). Promontory thickness was significantly greater for men than women (mean 1.28 vs. 1.17 mm; p = .03) and increased with increasing body mass index (correlation coefficient .30; p = .004). Last, promontory thickness was significantly less for patients with osteopenia or osteoporosis compared with those without these conditions (mean 1.09 vs. 1.27 mm; p = .002). Conclusions Cochlear promontory thickness can vary by almost 1.5 mm across patients and is significantly associated with patient sex, body mass index, and comorbid osteopenia/osteoporosis. Subendosteal and transpromontory electrode placement techniques must account for this degree of variability. Level of Evidence IV

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“…The outcomes of body composition analysis mainly provide the proportion of water, muscle, fat, and inorganic salts in the total body mass. These values can be used to evaluate the nutritional and energy metabolism status and overall health status of the body and can guide the diagnosis, treatment, and prognosis of a variety of diseases [ 41 ]. The present study suggests that lower limb muscle mass is a protective factor to keep the normal index of BMD in the female working in the city of Tai'an.…”

Section: Discussionmentioning

confidence: 99%

The Relationship between Body Composition and Bone Mineral Density of Female Workers in A Unit of Tai’an

Wang

Chen

et al. 2022

Computational and Mathematical Methods in Medicine

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Objective. To explore the relationship between body composition and bone mineral density (BMD) of female workers in a university of Tai’an. Methods. This study randomly selected 90 female employees in a university of Tai’an. The body composition was monitored by body composition analyzer (inbody770), and the lumbar bone mineral density was monitored by dual energy X-ray absorptiometry (BMD model). The data were analyzed by SPSS 22.0 statistical software. Results. With the increasing of body mass index (BMI), BMD of female lumbar spines 1-4 (L1-4) increased gradually. Spearman correlation analysis showed that BMI, skeletal muscle mass, upper limb muscle mass, trunk muscle mass, lower limb muscle mass, and whole-body phase angle were positively correlated with L1-4BMD. Age was negatively correlated with L1-4BMD. Linear regression analysis showed that age was a negative factor of L1-4BMD, and skeletal muscle mass was a protective factor of abnormal bone mass, especially lower limb muscle mass. Conclusions. Lower limb muscle mass is a protective factor of female BMD. Strengthening physical exercise to improve lower limb muscle mass is conducive to the prevention of female osteoporosis.

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Association Between Bone Mineral Density and Nutritional Status, Body Composition and Bone Metabolism in Older Adults

Cited by 17 publications

References 24 publications

Environmental and personal factors for osteoporosis or osteopenia from a large health check-up database: a retrospective cohort study in Taiwan

Environmental and personal factors for osteoporosis or osteopenia from a large health check-up database: a retrospective cohort study in Taiwan

Cochlear promontory anatomy relevant to development of subendosteal and transpromontory electrodes using 192‐section ultra‐high resolution temporal bone CT imaging

The Relationship between Body Composition and Bone Mineral Density of Female Workers in A Unit of Tai’an

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