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1.
J Nutr Health Aging ; 26(1): 46-51, 2022.
Article in English | MEDLINE | ID: mdl-35067702

ABSTRACT

PURPOSE: Low serum vitamin D status has been associated with reduced muscle mass in observational studies although the relationship is controversial and a causal association cannot be determined from such observations. Two-sample Mendelian randomization (MR) was applied to assess the association between serum vitamin D (25(OH)D) and total, trunk, arm and leg fat-free mass (FFM). METHODS: MR was implemented using summary-level data from the largest genome-wide association studies (GWAS) on vitamin D (n=73,699) and total, trunk, arm and leg FFM. Inverse variance weighted method (IVW) was used to estimate the causal estimates. Weighted median (WM)-based method, and MR-Egger, leave-one-out were applied as sensitivity analysis. RESULTS: Genetically higher serum 25(OH)D levels had a positive effect on total (IVW = Beta: 0.042, p = 0.038), trunk (IVW = Beta: 0.045, p = 0.023) and arm (right arm IVW = Beta: 0.044, p = 0.002; left arm IVW = Beta: 0.05, p = 0.005) FFM. However, the association with leg FFM was not significant (right leg IVW = Beta: 0.03, p = 0.238; left leg IVW = Beta: 0.039, p = 0.100). The likelihood of heterogeneity and pleiotropy was determined to be low (statistically non-significant), and the observed associations were not driven by single SNPs. Furthermore, MR pleiotropy residual sum and outlier test did not highlight any outliers. CONCLUSIONS: Our results illustrate the potentially causal, positive effect of serum 25(OH)D concentration on total, trunk and upper body appendicular fat-free mass.


Subject(s)
Adipose Tissue , Body Composition , Mendelian Randomization Analysis , Vitamin D/blood , Arm , Genome-Wide Association Study , Humans , Leg , Polymorphism, Single Nucleotide , Torso , Vitamin D/analogs & derivatives
2.
J Musculoskelet Neuronal Interact ; 17(3): 192-196, 2017 09 01.
Article in English | MEDLINE | ID: mdl-28860421

ABSTRACT

OBJECTIVES: 1) To study if limb length explains variability in appendicular and total muscle mass better than height and 2) if muscle mass adjusted for limb length rather than height correlates better with grip and knee extension strength. METHODS: 400 healthy women aged 20-40 were recruited as a reference population. Body composition, limb length, grip strength and knee extension strength were measured. New relative muscle mass indexes were computed by adjusting upper limb muscle mass for upper limb length (ULRSMI) and lower limb muscle mass for lower limb length (LLRSMI). RESULTS: Height correlated strongest with all muscle mass measures. Height had the highest R² values for predicting variability in appendicular skeletal muscle mass (0.33), upper limb skeletal muscle mass (0.20), lower limb skeletal muscle mass (0.34) and total skeletal muscle mass (0.36). Correlation of relative skeletal muscle mass index (RSMI) with grip and knee extension strength (r=0.47 and 0.43) was higher when compared with correlation of ULRSMI and LLRSMI with these measures. CONCLUSION: Compared to limb length, height correlates better with regional and total muscle mass. Muscle mass adjusted for height correlates better with grip strength and knee strength when compared with muscle mass adjusted for limb length.


Subject(s)
Anthropometry , Body Height , Muscle Strength , Muscle, Skeletal , Adult , Cohort Studies , Female , Finland , Humans , Muscle, Skeletal/anatomy & histology , Muscle, Skeletal/physiology , Young Adult
3.
J Nutr Health Aging ; 21(6): 622-630, 2017.
Article in English | MEDLINE | ID: mdl-28537325

ABSTRACT

It has been hypothesized that high protein intakes are associated with lower bone mineral content (BMC). Previous studies yield conflicting results and thus far no studies have undertaken the interaction of body mass index (BMI) and physical activity with protein intakes in relation to BMC and bone mineral density (BMD). OBJECTIVE: To evaluate the associations of dietary total protein (TP), animal protein (AP) and plant protein (PP) intakes with BMC and BMD and their changes. We tested also the interactions of protein intake with, obesity (BMI ≤30 vs. >30 kg/m2) and physical activity level (passive vs. active). Design/ Setting: Prospective cohort study (Osteoporosis Risk-Factor and Fracture-Prevention Study). Participants/measures: At the baseline, 554 women aged 65-72 years filled out a 3-day food record and a questionnaire covering data on lifestyle, physical activity, diseases, and medications. Intervention group received calcium 1000 mg/d and cholecalciferol 800 IU for 3 years. Control group received neither supplementation nor placebo. Bone density was measured at baseline and year 3, using dual energy x-ray absorptiometry. Multivariable regression analyses were conducted to examine the associations between protein intake and BMD and BMC. RESULTS: In cross-sectional analyses energy-adjusted TP (P≤0·029) and AP (P≤0·045) but not PP (g/d) were negatively associated with femoral neck (FN) BMD and BMC. Women with TP≥1·2 g/kg/body weight (BW) (Ptrend≤0·009) had lower FN, lumbar spine (LS) and total BMD and BMC. In follow-up analysis, TP (g/kg/BW) was inversely associated with LS BMD and LS BMC. The detrimental associations were stronger in women with BMI<30 kg/m2. In active women, TP (g/kg/BW) was positively associated with LS BMD and FN BMC changes. CONCLUSIONS: This study suggests detrimental associations between protein intake and bone health. However, these negative associations maybe counteracted by BMI>30 kg/m2 and physical activity.


Subject(s)
Body Mass Index , Bone Density/drug effects , Bone and Bones/drug effects , Diet , Dietary Proteins/adverse effects , Exercise , Osteoporosis, Postmenopausal/etiology , Absorptiometry, Photon/methods , Aged , Aged, 80 and over , Animals , Bone and Bones/metabolism , Calcium, Dietary/pharmacology , Cholecalciferol/pharmacology , Cross-Sectional Studies , Dietary Proteins/administration & dosage , Dietary Proteins/pharmacology , Dietary Supplements , Energy Intake , Female , Fractures, Bone/etiology , Fractures, Bone/metabolism , Fractures, Bone/prevention & control , Humans , Osteoporosis, Postmenopausal/metabolism , Osteoporosis, Postmenopausal/prevention & control , Prospective Studies , Regression Analysis , Surveys and Questionnaires
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