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- Creators: Barrett, The Honors College
Methods: Two-day dietary and fluid intake records as well as 24-h urine samples were collected from 177 children over different weekends. The dietary records were analyzed with Nutrition Data System for Research to obtain TWI from food (TWI-F) as well as TWI from fruits and vegetables (TWI-FV). The fluid intake data was used to determine TWI from liquids (TWI-L). The urine samples were analyzed for volume (UVol), urine osmolality (UOsm), urine specific gravity (USG), and urine color (UCol) to examine hydration. Age was categorized into 3, 4-8, and 9-13 y based on the Institute of Medicine (IOM).
Results: About 52% of the children did not meet water intake recommendations by IOM and 39.8% of the children were underhydrated based on elevated urine osmolality. The average TWI was found to be 1,911± 70 mL. TWI-F was observed to be 492±257 mL, while TWI-L was 1,419±702 mL. TWI-FV only contributed 200±144 mL. As expected TWI was significantly higher in the older children (9-13 y) than children in other age group (3 and 4-8 y). The average UVol was 709±445 mL, USG was 1.019±0.006, UOsm was 701±233 mOsm·kg-1, and UCol was a 3±1 (based on the urine color chart). Only urine volume seemed to be influenced by the age of the children as it was significantly higher for the children in the 9-13 y age group.
Conclusion: Nearly half of the children did not meet water recommendations by IOM and were underhydrated. Fruits and vegetables did not have a significant contribution to TWI. Dietary interventions to increase F&V consumption, lower consumption of SSB, as well as maintain proper hydration may benefit the health of children.
physical health compared to children without cancer. Many studies have been done to examine the effects of emotional distress and mental health on the cancer patient, as well as the role of familial support. It was found that children with cancer may suffer from depression, anxiety, PTSD, and socio-emotional problems as a result of the trauma of being diagnosed and treated for a pervasive, life-threatening disease. Late effects may also worsen co-morbid mental health disorders. Childhood cancer patients who experience co-morbid mental health problems of depression and anxiety end up having a longer duration of recovery, as well as a worsened outcome than others with a single disorder (Massie, 2004). It was also shown that family members are affected emotionally and mentally from dealing with childhood cancer. Not only is the cancer patient at risk for PTSD during or after treatment, but also family members (National Cancer Institute, 2015). Siblings of the child with cancer may experience feelings of loneliness, fear, and anxiety, as the parent’s attention is focused on the child suffering with cancer. According to the National Cancer Institute (2015), familial problems can affect the child’s ability to adjust to the diagnosis and treatment in a positive way. However, children with strong familial and social support adjust easier to living with cancer. A common theme found in literature is that regular mental health checkups during and after cancer treatment is important for quality of life. Therefore, it is important for all childhood cancer patients and their families to receive information about mental health awareness, as well as therapeutic interventions that are developed for families caring for a child with cancer.
The purpose of this paper is to examine cross-cultural differences between the United States and Turkey by coding multiple dimensions, such as parental intrusiveness, child persistence, and various others. The main research questions of this paper were as follows: (1) How does parental intrusiveness vary by country? (2) How does child persistence vary by country? and (3) Are parental intrusiveness and child persistence correlated, and if so, what is the direction of the correlation? The hypotheses were that (1) Turkish parents would score higher on parental intrusiveness, (2) American children would show higher levels of persistence, and (3) Parental intrusiveness and child persistence are correlated, with higher levels of parental intrusiveness resulting in lower levels of child persistence. While all of the hypotheses were supported with statistically significant results, it was found that in the U.S., higher parental intrusiveness does result in lower levels of child persistence, but in Turkey, parental intrusiveness was not a predictor of child persistence. The findings are therefore able to support cross-cultural differences in the correlation between parental intrusiveness and child persistence.
Significant health inequalities exist between different castes and ethnic communities in India, and identifying the roots of these inequalities is of interest to public health research and policy. Research on caste-based health inequalities in India has historically focused on general, government-defined categories, such as “Scheduled Castes,” “Scheduled Tribes,” and “Other Backward Classes.” This method obscures the diversity of experiences, indicators of well-being, and health outcomes between castes, tribes, and other communities in the “scheduled” category. This study analyzes data on 699,686 women from 4,260 castes, tribes and communities in the 2015-2016 Demographic and Health Survey of India to: (1) examine the diversity within and overlap between general, government-defined community categories in both wealth, infant mortality, and education, and (2) analyze how infant mortality is related to community category membership and socioeconomic status (measured using highest level of education and household wealth). While there are significant differences between general, government-defined community categories (e.g., scheduled caste, backward class) in both wealth and infant mortality, the vast majority of variation between communities occurs within these categories. Moreover, when other socioeconomic factors like wealth and education are taken into account, the difference between general, government-defined categories reduces or disappears. These findings suggest that focusing on measures of education and wealth at the household level, rather than general caste categories, may more accurately target those individuals and households most at risk for poor health outcomes. Further research is needed to explain the mechanisms by which discrimination affects health in these populations, and to identify sources of resilience, which may inform more effective policies.