The relationship between BPAQ-derived physical activity and bone density of middle-aged and older men

2014 ◽  
Vol 25 (11) ◽  
pp. 2663-2668 ◽  
Author(s):  
K. A. Bolam ◽  
B. R. Beck ◽  
K. N. Adlard ◽  
T. L. Skinner ◽  
P. Cormie ◽  
...  
Keyword(s):  
Physical Activity ◽  
Bone Density ◽  
Older Men ◽  
Middle Aged ◽  
The Relationship

scholarly journals OCCUPATIONAL PHYSICAL ACTIVITY AND BONE DENSITY IN OLDER MEN

2003 ◽  
Vol 35 (Supplement 1) ◽  
pp. S20
Author(s):  
D A. Bemben ◽  
M L. Griffith ◽  
M G. Bemben ◽  
M K. Dinger
Keyword(s):  
Physical Activity ◽  
Bone Density ◽  
Older Men ◽  
Occupational Physical Activity

Physical Activity Augments The Relationship Between FFSTM And Bone Density In Young Men

2007 ◽  
Vol 39 (Supplement) ◽  
pp. S439
Author(s):  
Katrina L. Butner ◽  
Steve G. Guill ◽  
Trent A. Hargens ◽  
Jessica E. Mabry ◽  
Adrian Aron ◽  
...  
Keyword(s):  
Physical Activity ◽  
Bone Density ◽  
Young Men ◽  
The Relationship

scholarly journals Dairy Consumption and Insulin Resistance: The Role of Body Fat, Physical Activity, and Energy Intake

2015 ◽  
Vol 2015 ◽  
pp. 1-11 ◽  
Author(s):  
Larry A. Tucker ◽  
Andrea Erickson ◽  
James D. LeCheminant ◽  
Bruce W. Bailey
Keyword(s):  
Physical Activity ◽  
Insulin Resistance ◽  
Energy Intake ◽  
Body Fat ◽  
Model Assessment ◽  
Middle Aged ◽  
Fat Percentage ◽  
Dairy Intake ◽  
Dairy Consumption ◽  
The Relationship

The relationship between dairy consumption and insulin resistance was ascertained in 272 middle-aged, nondiabetic women using a cross-sectional design. Participants kept 7-day, weighed food records to report their diets, including dairy intake. Insulin resistance was assessed using the homeostatic model assessment (HOMA). The Bod Pod was used to measure body fat percentage, and accelerometry for 7 days was used to objectively index physical activity. Regression analysis was used to determine the extent to which mean HOMA levels differed across low, moderate, and high dairy intake categories. Results showed that women in the highest quartile of dairy consumption had significantly greater log-transformed HOMA values (0.41 ± 0.53) than those in the middle-two quartiles (0.22 ± 0.55) or the lowest quartile (0.19 ± 0.58) (F= 6.90,P= 0.0091). The association remained significant after controlling for each potential confounder individually and all covariates simultaneously. Adjusting for differences in energy intake weakened the relationship most, but the association remained significant. Of the 11 potential confounders, only protein intake differed significantly across the dairy categories, with those consuming high dairy also consuming more total protein than their counterparts. Apparently, high dairy intake is a significant predictor of insulin resistance in middle-aged, nondiabetic women.

Physical Activity Preferences of Middle-Aged and Older Adults: A Community Analysis

1999 ◽  
Vol 7 (4) ◽  
pp. 386-399 ◽  
Author(s):  
Sara Wilcox ◽  
Abby C. King ◽  
Glenn S. Brassington ◽  
David K. Ahn
Keyword(s):  
Physical Activity ◽  
Older Adults ◽  
Community Analysis ◽  
Older Men ◽  
Middle Aged ◽  
Individual Preferences ◽  
Healthy Women ◽  
Physical Activity Interventions ◽  
Exercise Class ◽  
Activity Preferences

Physical activity interventions are most effective when they are tailored to individual preferences. This study examined preferences for exercising on one’s own with some instruction vs. in a class in 1,820 middle-aged and 1,485 older adults. Overall, 69% of middle-aged and 67% of older adults preferred to exercise on their own with some instruction rather than in an exercise class. The study identified subgroups—5 of middle-aged and 6 of older adults—whose preferences for exercising on their own with some instruction ranged from 33–85%. Less educated women younger than 56, healthy women 65–71, and older men reporting higher stress levels were most likely to prefer classes. All other men and most women preferred exercising on their own. The identification of these subgroups enables us to tailor exercise recommendations to the preferences of middle-aged and older adults, with increased rates of physical activity adoption and maintenance a likely result.

scholarly journals The relationship between iron deficiency and bone mineral density in young female athletes

Food Research ◽  
2020 ◽  
Vol 4 (S3) ◽  
pp. 99-108
Author(s):  
D.K. Pradita ◽  
F.F. Dieny ◽  
D.M. Kurniawati ◽  
A.F.A. Tsani ◽  
N. Widyastuti ◽  
...  
Keyword(s):  
Physical Activity ◽  
Vitamin D ◽  
Bone Density ◽  
Iron Deficiency ◽  
Muscle Mass ◽  
Female Athletes ◽  
Young Female ◽  
Bivariate Analysis ◽  
Mineral Density ◽  
The Relationship

The iron deficiency that occurs in young female athletes can cause a decrease in bone density in three mechanisms, through the process of hydrolysis of procollagen formation, metabolism along with vitamin D and hypoxia. The aimed of this study is to analyze the relationship of iron deficiency with bone density in young female athletes. A crosssectional study design with 70 athletes aged 12-21 years conducted at the BPPLOP Central Java, Salatiga Athletics Club and Athletics and Swimming Club Semarang State University. Iron deficiency was determined by levels of ferritin serum, bone density measured by Bone Densitometer Quantitative Ultrasound, body fat percentage and muscle mass measured by Body Composition Analyzer. Bone-specific Physical Activity Questionnaire was used for physical activity data. Nutrition intakes such as protein, calcium, vitamin D, phosphorus, iron, potassium, magnesium, and sodium was collected by Semi Quantitative-Food Frequency Questionnaire. This study used bivariate analysis with Pearson and Rank-Spearman Correlation Tests and multivariate analysis with Multiple Linear Regression Test. A young female athlete who suffers from iron deficiency is approximately 14.3%. All subjects had normal bone density. Significant relationships were observed between iron deficiency based on serum ferritin (p = 0.044) and muscle mass (p = 0.002) with bone density on young female athletes. The muscle mass variable had the strongest influence on bone density (p = 0.002; adjusted R2 = 0.117). This study showed that iron deficiency and muscle mass are related to bone density, but the other factors that might have an impact on bone density must be considered.

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