Dietary Behaviors That Place Young Adults at Risk for Future Osteoporosis

Abstract

Dietary behaviors during adolescence and emerging adulthood have important consequences for peak bone mass (PBM) attainment. This study aimed to examine dietary factors that are either beneficial or detrimental to bone health and determine the major sources of calcium in the diets of a sample of young adults. A cross-sectional survey was conducted among 189 Australians aged 18–30 years. Three-day dietary intakes were collected using consecutive 24 h recall interviews. Daily totals for energy and nutrients and serves for food groups were computed. The proportion contribution of calcium (mg) from different food groups as well as calcium (mg) per portion and per 100 g were calculated. Females and males failed to meet the recommendations for dairy (91%, 82%), fruit (89%, 94%) and vegetables (74%, 86%). Eighty percent were above the recommended daily intake range for sodium. For calcium, 53% of females and 48% of males had intakes below the estimated average requirement (EAR). Milk products and dishes made the highest mean calcium contribution per portion (mg) mean standard deviation (SD), 204 mg (212) and accounted for 30% of calcium intake in females and 35% in males. As young adulthood is the final chance for dietary manipulation before PBM is achieved, these dietary risk factors should be addressed.

Diet Quality of Elite Australian Athletes Evaluated Using the Athlete Diet Index

“…Overall, the athletes had a higher intake of fruit (2.4 vs. 1.4), vegetable (3.6 vs. 2.9), plus dairy and alternative (2.7 vs. 1.5) servings compared to the general population of Australian adults [ 44 ]. In addition, the athletes consumed fewer servings of discretionary foods and alcohol than previously reported in Australian adults [ 44 , 45 ]. Therefore, our results suggest that elite Australian athletes have at least comparable, and likely better diets overall, when compared to young Australian adults [ 42 , 44 , 45 ].…”

“…Furthermore, differences observed in the sub-scores associated with the stage of the training cycle suggest the importance of measuring diet quality longitudinally across a competitive season (i.e., pre-season vs. in season). As the electronic ADI evaluates dietary intake based on the previous seven days, fluctuations in dietary intake due to the periodisation of training over the micro- (i.e., 1 week), meso- (i.e., 2 to 6 weeks), and macro-cycle (i.e., competitive season) [ 3 , 6 , 7 , 8 , 9 , 10 , 11 , 12 , 13 , 14 , 15 , 16 , 17 , 18 , 19 , 20 , 21 , 22 , 23 , 24 , 25 , 26 , 27 , 28 , 29 , 30 , 31 , 32 , 33 , 34 , 35 , 36 , 37 , 38 , 39 , 40 , 41 , 42 , 43 , 44 , 45 , 46 , 47 , 48 , 49 ] support the importance of longitudinal measurement.…”

Smart Solutions for Diet-Related Disease Management: Connected Care, Remote Health Monitoring Systems, and Integrated Insights for Advanced Evaluation

“…• Certain Cancers: while genetics and environmental factors play a role, diets high in processed foods [5] and red meat and low in fruits, vegetables, and fibre are associated with increased cancer risk, particularly colorectal, breast, and prostate cancers. • Osteoporosis: inadequate intake of calcium and vitamin D, often due to poor dietary choices or malnutrition, can contribute to osteoporosis [6], weakening bones and increasing fracture risk, especially in older adults.…”