Filtering by
- All Subjects: sleep
- All Subjects: cobalamin
- Creators: Whisner, Corrie
One Particular nutrient that is commonly lacking in the vegetarian diet is vitamin B12. Vitamin B12 is found mainly in animal-derived food sources such as meat, poultry, fish, dairy, and eggs. Although some vegetarians, called lacto-ovo vegetarians, consume dairy and eggs, vegans do not consume any animal products at all. Vitamin B12 deficiency can have devastating consequences on the human body due to its role as a methylation cofactor. Metabolism, DNA replication, and cancer formation all involve methylation processes.
This cross-sectional, differential study aimed to further understand the relationship between vegetarianism, vitamin B12 status, and methylation capacity in healthy adults. A group of 34 healthy adults (18 vegetarians and 16 omnivores) was recruited to analyze serum B12, homocysteine, methylmalonic acid, serum total folate, and transcobalamin II status. It was hypothesized that (1) vegetarians would have a lower vitamin B12 status, and thus, a lower methylation capacity than omnivores and that (2) low vitamin B12 status would be correlated with low methylation capacity.
The data show that vegetarians did not have significantly lower vitamin B12 methylation capacity status than omnivores. Nor was vitamin B12 status correlated with methylation capacity. However, the data revealed that diet quality had a positive influence on folate status. There was also a statistical trend (p=0.08) for homocysteine reduction in participants consuming high-quality diets. The data herein suggest that methylation capacity may be impacted by the quality of diet rather than the type of diet.
Sleep is imperative for health and wellness with direct impacts on brain function, physiology, emotional well-being, performance and safety when compromised. Adolescents and young adults are increasingly affected by factors affecting the maintenance of regular sleep schedules. College and university students are a potentially vulnerable population to sleep deprivation and sleep insufficiency. Possible factors that could contribute to poor sleep hygiene include, but are not limited to, academic pressures, social activities, and increased screen time. Arguably, students are still experiencing bone mineralization, until the age of 30 or even 40 years old, which makes it more important to understand the effects that altered sleep patterns could have on continued development of bone health. It is our understanding that to date, studies assessing the risk of sleep insufficiency on bone mineral density in college students have not been conducted. We hypothesized that college-aged students, between the ages of 18-25 years, with shorter sleep durations, greater sleep schedule variability, and poorer sleep environments will have significantly lower bone mineral density. ActiGraph monitoring, via a wrist ActiWatch was used to quantitatively measure sleep habits for up to 7 consecutive days. During the week-long study participants also captured their self-reported sleep data through the use of a sleep diary. Participants were measured one time within the study for bone mineral density of the lumbar spine and total hip through a dual energy x-ray absorptiometry. This was a preliminary analysis of a larger cross-sectional analysis looked at 17 participants, of which there were 14 females and 3 males, (n=5, 1 and 11 Hispanic, Black and White, respectively). The mean age of participants was 20.8±1.7 y with an average BMI of 22.9±3.2 kg/m2. ActiWatch measurement data showed a mean daily sleep duration of participants to be 437.5 ± 43.1 (372.5 – 509.4) minutes. Mean sleep efficiency (minutes of sleep divided by minutes of time in bed) and mean number of awakenings were 87.4±4.3 (75.4-93.4) minutes and 32.1±6.4 (22.3-42.7) awakenings, respectively. The median time for wake after sleep onset (WASO) was 34.5±10.5 (18.3-67.4) minutes. The mean bone mineral density (BMD) for the hips was 1.06±0.14 (0.81-1.28) g/cm2 with a mean BMD of the lumbar spine being 1.24±0.12 (0.92-1.43) g/cm2. Age-matched Z-scores of the hips was 0.31±0.96 (-1.6-2.1) and lumbar spine was 0.53 (IQR: 0.13, 0.98; -2.25-1.55). Neither sleep duration nor sleep efficiency was significantly correlated to BMD of either locations. While WASO was positively associated with hip and spine BMD, this value was not statistically significant in this population. Overall, associations between sleep and BMD of the femur and spine were not seen in this cohort. Further work utilizing a larger cohort will allow for control of covariates while looking for potential associations between bone health, sleep duration and efficiency.