Journal Article Summary
The research article from volume 48, issue eight from the Associations Between Swedish Mothers’ and 3- and 5-Year-Old Children’s Food Intake. The main objective is to observe the relations between mother’s and children’s food consumption. The goal of the study is to find out if the parent’s food intake has a great deal of influence on the child’s eating habits and what the participants are actually consuming in a diary for two, four day periods. The context is relevant today because children are very influenced by their parent’s decisions, not only with food. Moreover, a child’s eating habits are formed greatly by their parents. If a professional such as a registered dietitian were to counsel the parents on healthy food options, this could help the child clarify what kinds of food they should really eat by the influence of the educated parent.
The study used in this research article is cross-sectional with background variables collected through self-reports from the register of total population in this study on two, four day periods. The study they mention in this article is Social Cognitive Theory. According to the Social Cognitive Theory, a major construct to changing behavior is observational learning. The results showed that the strongest correlation of food intake between mother and child is pizza and oily fish. The weakest correlation is sugared drinks, fruits, and berries. The child’s age moderated the intake of savory foods. Analytical methods are used in this study because they identify causes and determines whether those variables are connected. This article could be improved more with the participants they asked to contribute in the study. I believe it could be improved because in a chart, they asked 2400 total participants, only 514 accepted to respond and out of that 514, many more did not hand in their food record. The random selection of participants in a population was the major cause of rejection in this case. If the study was focused more on families that want to learn how to influence their children with healthier eating habits, there could have been more participants to actually partake.
The first term I did not understand is methodology. Methodology is methods intend to use to collect data in the study. The second term I could not define on my own is statistically significant. The definition of statistically significant is the probability that an association between two or more variables is caused by something other than random chance. The third term I did not understand from the article is maternal. Maternal is relating to or in association to a mother. The fourth definition I did not understand was cross-sectional. The definition I found for cross-sectional is a type of observational study that examines data collected from a population, or a representative subgroup, at a precise point in time. The fifth word I did not understand is background variables. Background variables are inessential to a calculation or experiment and is assumed to be insignificant in its effect on the subject matter. The last word I did not understand is longitudinal data. Longitudinal data is data that tracks the same sample at different points in time.
Two articles referenced at the end of the original article is Primary prevention of childhood obesity through counselling sessions at Swedish child health centres: design, methods and baseline sample characteristics of the PRIMROSE cluster-randomised trial and the second referenced article is Protocol for systematic reviews of determinants/correlates of obesity-related dietary and physical activity behaviors in young children (preschool 0 to 6 years): evidence mapping and syntheses. Primary prevention of childhood obesity through counselling sessions at Swedish child health centres: design, methods and baseline sample characteristics of the PRIMROSE cluster-randomised trial ties into this study because this is one way children can become educated during these counselling sessions on what to eat. If more children were to go to the sessions, this could reduce the number of obesity in children. This study targets first-time parents and their children at Swedish child health centers. The study was completed because childhood obesity is a growing concern that can lead to health problems in their adulthood. There needs to be more education about prevention of obesity before the person actually becomes obese or ill.
Protocol for systematic reviews of determinants/correlates of obesity-related dietary and physical activity behaviors in young children (preschool 0 to 6 years): evidence mapping and syntheses is the second study from the reference articles in the main study. In this study, interventions are completed to reduce obesity in young children. There are many factors that need to be looked at for the interventions such as: needing to understand whether it would be more important to target the family, child care settings, or environmental. Then they must identify the most effective way of changing these behaviors. I believe this article is referenced at the end of the research article to show what else can be done to prevent childhood obesity from growing.
Examples of learned behavior include:
Citations for the images above:
Featured image on cover photo for this post cited:
Grenier, Virginia S. Encourage Healthy Eating Habits in Kids. Digital image. Families Matter. SFC Publishing, 30 Dec. 2012. Web. 30 Sept. 2016.
References for paper
Doring N, Hansson LM, Andersson ES, et al. Primary prevention of childhood obesity through counselling sessions at Swedish child health centres: design, methods and baseline sample characteristics of the PRIMROSE cluster-randomised trial. BMC Public Health. 2014;14:335.
Hansson LM, Heitmann BL, Larsson C, et al. Associations Between Swedish Mothers’ and 3- and 5-Year-Old Children’s Food Intake. ScienceDirect. 2016;1:520-529.
Lakshman R, Mazarello Paes V, Hesketh K, et al. Protocol for systematic reviews of determinants/correlates of obesity-related dietary and physical activity behaviors in young children (preschool 0 to 6 years): evidence mapping and syntheses. Syst Rev. 2013;2:28.