A specific point made by Skelton, et al, in a study including 12,384 children ages 2-19, nearly 16% were obese and 4% are morbidly obese. This data was used to explain the claim when using the number as the representation of the total child population. Taking the representation and comparing it to those who are not obese. The obese had “significantly different mean levels of systolic and diastolic blood pressure, high-density lipoprotein cholesterol, and insulin” (325). Risk factors that would be detrimental to long term health if not
Look up “Growth Charts”. What did you find/learn? Describe the two types of Growth Charts that are primarily used? Growth charts are made of a distribution of percentiles to show pediatricians, nurses, and parents where a child is at developmentally in terms of growth measurements as compared to other children that are of similar age (U.S. Department of Health & Human Services [HHS], 2010). Depending on the growth chart being used, the chart helps caregivers and health care professionals monitor the growth of a child ranging from 0 to 20 years of age.
Oluwafunmilayo Mary Bankole A00019358 WRI 102 Dr. Agatha Ukata 18th March, 2017. Rhetorical analysis on Supersize Your Child In the article “Supersize You Child”, Richard Hayes tries to inform his audience about the advantages and disadvantages of genetically engineering children.
He states. “For eldest sibling, this is a pretty sweet deal.” Kluger also explains that the birth order can affect households with siblings in them, it can affect how the siblings grow up into adulthood, and how the birth order can affect the children after adult hood. Kluger gives examples like, “the first child is always bigger in height and weight, how the first child will be smarter through school, and into adulthood the eldest child will have a better paying job.” These three examples aren’t the only research that he had found.
DEVELOPING HEAD START IN OUR SCHOOL U.S. Department of Health and Human Services’ Administration for Children and Families has released improved Head Start Performance Standards. This is the first comprehensive overhaul of standards since they were first published. Both the early education landscape and our knowledge of the science of early learning have changed vividly in the last half century. Change and common core performance standards were sorely in need of modernization.
The United Nations Children’s Fund is a key player in cholera prevention, preparedness and response. The organization has been facilitating programs and activities to control cholera such as providing supplies and equipment, establishing rapid response alert systems, and restoring safe conditions in hurricane-affected treatment centers. Furthermore, UNICEF continues to support the Government by co-leading sectors in WASH, education and nutrition, and child protection. Through UNICEF’s cholera vaccination campaign, 807,395 people received the cholera vaccine (UNICEF, 2017) within six weeks post-Hurricane Matthew. During that time, UNICEF also increased its number of Immediate Response Teams (IRT) from 5 to 36 and were ready to deploy within 48 hours.
behavior, learning and memory of an individual ( 1). While Dr. Noble noted the more affluent children possessed larger hippocampuses than their disadvantaged counterparts (Brain Trust 47), Hanson notes that the lifestyle of less affluent families affect the hippocampus negatively. For instance, maternal separation can negatively impact the hippocampus, I.e. working mother's. The lower the income a household has, the more stress it faces. Outstanding stress can have long-lasting negative effects on the hippocampus (1.).
Three major points that this film discussed were the statistics behind obesity, the relationship between public health and the food industry, and it also discussed obesity prevention. Childhood obesity is an ever growing
Obama final case asserts the rhetorical strategy ethos to by showing her knowledge of childhood obesity. She uses ethos to give credibility to experts to support her speech. Mrs. Obama states a few experts but could have supported them more clearly. She gives credit to “FDA” by stating “were working with the FDA and the food industry to provide better labeling, something simple, so folks don’t have to spend hours squinting at labels, trying to figure out whether the food they’re buying is healthy or not. ”(Obama 425)
Childhood obesity is, according to the World Health Organisation (WHO) one of the most public health challenges of the 21 century, with over 42 million children under 5 estimated to be overweight (WHO). The epidemic is caused by a global trend towards radically reduced physical activity levels. This is coupled by a global shift in diet towards energy-dense foods that are high in fat, salt and sugars (HFSS), but low in vitamins and minerals, and advertising and marketing for these types of food products are argued to be partly to blame for the shift in dietary intake. There are some considerable concerns expressed about the Level of children’s exposure to brands on social networks, leading to complex arguments about children’s resulting sense of reality and feelings of self-esteem. Skaar (2009) for example argues that the constant viewing of brands and products online, and the opportunity for children to adopt the strategies and resources of professional marketers to market them, lay foundations for social competition and reinforces patterns of exclusion and uniformity.
Emma’s BMI (body mass index) is 34 which on a body mass index scale is considered very obese. Obesity is one of the main risk factors that can have an effect on Emma’s fertility. Obesity can cause a variation of fertility issues such as to polycystic ovary syndrome (PCOS), insulin resistance, and issues with menstruation and ovulation. A simple loss of five to ten percent of Emma’s body weight can restore ovulation.
Moreover, within the subgroup there are different stressors that may potentially put someone at higher risk for an adverse event. By identifying a subgroup as different it may lead discrimination from other subgroups. However, if disaggregated data was not able to assess sub groups programs could not be responsive to the needs of the subgroup. Hence, the data can determine who is more susceptible for disease, where do they reside, and implement policies to address the issue (Tshabalala & Taylor, 2016). Nonetheless, due to the extensive amount of aggregated data, lack of disaggregated data may lead to poor informed decisions in regards to community needs.
Publications have shown racial and ethnic disparities in prevalence of obesity and few changes in the prevalence of obesity with adults since 2003–2004.(1) A prevalence of obesity among black adults from 2011-2013. Courtesy of Vox. Why is This Happening?
Over the past generation obesity has become a major health issue. The term obesity is best describe as someone having a body mass index (BMI) equal to or above the 95th percentile. Within both genders of African American children and adolescent obesity has increased tremendously. Obesity can contribute too many chronic illnesses down the line if left untreated such as cardiovascular disease, cancer, asthma, and type 2 diabetes (Coreil, 2009). Studies have reported that within low income communities 1 out of 3 children are considered as overweight or obese (Ogden et al., 2010).
To aggravate the situation, children who are part of this classification are victims of bullying at school, which in some cases can lead of the development of other issues against their psychological wellbeing (AIHW, 2008). Analyzing the situation of the Indigenous Australians regarding the rise of childhood obesity; we could gather that in the year 2012–13, among Indigenous children aged 2–14: 30% were classified as overweight (20%) or obese (10%). Indigenous children aged 2–14 were significantly more likely than non-Indigenous children to be either overweight or obese (1.2 times as likely; 30% compared with 25%), and to be obese (1.6 times as likely; 10.2% compared with 6.5%) (ABS 2014d)