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Changes in retained weight and waist circumference during the first six months postpartum : a latent growth curve modelCheng, Hsiu-Rong 21 October 2013 (has links)
Few studies have measured the changes of postpartum weight retention (PWR), and none of them have assessed the effect of pregnancy on waist circumference (WC) in Taiwanese women. The primary aims of this longitudinal study were to explore the changes in body weight and WC during the first six months postpartum and to identify the explanatory factors of PWR and of WC. A theoretical framework that incorporated Bandura's social learning theory and the results of a literature review was used to guide this study. Structured questionnaires were used for data collection. Postpartum body weight and WC were measured. Data were collected from May 2011 to January 2013 and analyzed using the SPSS 19.0 and Mplus 6.12. A sample of 200 healthy postpartum women was recruited from three clinics in Tainan City, Taiwan. The mean age of the women was 31.19 years, and the majority of them were married (98.0%), primiparas (56%), had a bachelor's degree (52.5%), and planned to have this pregnancy (62.5%). The mean prepregnancy body weight was 55.84 kg, and the mean GWG was 13.76 kg. About one third of the sample gained weight exceeding the GWG recommendations of the IOM. The mean PWR decreased over time from 9.13 kg at hospitalization to 2.73 kg at 6 months postpartum. Approximately 24% of the participants still retained 5 kg or more at 6 months postpartum, and about 44% of the women had at least one kind of weight-related risk--substantial PWR, overweight, or central obesity. Age, prepregnancy BMI, parity, GWG, and place for doing the month significantly affected PWR. The final latent growth curve (LGC) model of PWR explained 91.5% and 33.9% of the variance in initial status and overall change rate in PWR. Age, prepregnancy BMI, parity, GWG, and cesarean delivery significantly affected WC, which explained 84.1% and 38.1% of the variance in initial status and change rate in WC. GWG was the most influential factor in the change rate of PWR and WC. Establishing tailored recommendations for GWG for Taiwanese women is warranted. / text
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Övervikt och fetma under graviditetBlixt, Anne-Sofie, Mejerblad, Maria January 2008 (has links)
ABSTRACT Overweight and obesity is an increasing problem worldwide although high-income countries take a leed. High BMI during pregnancy and delivery constitute to many risks for both the mother and her outcome. Intervention programmes with the purpose to get the pregnant women to eat healthier and to excercise more are now working out in many different shapes. The effect of these activities varies. The aim of this study was to investigate if interventions during pregnancy, with women who’s BMI are 25 or more, affects health of the mother and her expected child, delivery outcome and self estimated health. The design of this study was quantitative. A total of 163 women participated in this study who took place i two cities in Sweden. All of the women gave birth at the same hospital. 96 of the women participated in the intervention group and 69 in the comparison group. Data was analyzed using SPSS. The results shows that most of the women (60 percent), choose not to participate in water aerobics. The results of the women who used a stepcounter showed that the women were more active during early pregnancy than later on. Results showed that there was a significantly increased risk for complications during delivery if the women had gained more than seven kilograms during pregnancy. Overweight women who had a weight gain of more than seven kilograms also had an increased risk for delivering large babies (more than 4000 gram), compared with those who gained less. There were no difference in self estimated health between the groups. The results of the study shows that a weight gain less than eight kilograms is positively associated with less complications during pregnancy. Women should be helped to get motivated to live a healthy and active life during pregnancy. What motivates pregnant women towards healthier living needs to be examined further.
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Psychosocial Processes Influencing Weight Management Among Persons Newly Prescribed Atypical Antipsychotic MedicationsXiao, Sarah 08 September 2010 (has links)
PURPOSE: To generate a theory of the psychosocial processes influencing weight management among persons newly prescribed atypical antipsychotic medications.
RESEARCH QUESTIONS:
1. What influences weight management in persons with first-episode psychosis who are newly prescribed atypical antipsychotic medications?
2. How is weight management facilitated in persons with first-episode psychosis who are newly prescribed atypical antipsychotic medications?
3. What psychosocial processes impede weight management in persons with first-episode psychosis who are newly prescribed atypical antipsychotic medications?
METHODS: A qualitative, grounded theory research design was used to guide the study. Semi-structured interviews were the method of data collection and analysis was performed using constant comparison.
SAMPLE & SETTING: A sample of 10 participants with first-episode psychosis prescribed atypical antipsychotics for at least eight weeks and six participants with a diagnosis of chronic schizophrenia who have been taking atypical antipsychotic medication for at least three years were obtained from an Outpatient Psychiatric program using theoretical sampling.
FINDINGS: Contextual factors influencing weight management were: accessibility to resources, unstructured lifestyle, and others’ perception of their weight. Conditions influencing weight management were: rapid weight gain, insatiable hunger, and a lack of motivation boosters. Participants’ early responses to actions influencing weight gain management included discontinuing medications, choosing lower calorie foods, using walking in daily activities as exercise, accepting weight gain, and trying to manage weight but giving up. The consequences revealed from data analysis were contemplating weight management and not trying, as the barriers to weight management substantially exceeded the facilitators and many procrastinated in taking on any weight management strategies.
CONCLUSION: The theoretical framework developed in this study can assist with the understanding and management of weight gain among this unique population. / Thesis (Master, Nursing) -- Queen's University, 2010-09-06 00:12:11.781
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Is the change in Body Mass Index among youth newly diagnosed with type 1 diabetes mellitus associated with obesity at age 18?Manyanga, Taruwona 25 September 2014 (has links)
Abstract
Background: Patients diagnosed with Type 1 diabetes mellitus (T1DM) require insulin therapy. Although necessary, insulin therapy is associated with an immediate increase in Body Mass Index (BMI). Excessive increase in BMI may lead to obesity, which is associated with both short and long-term negative health outcomes. The objective of this study was to determine whether weight change in the six months after diagnosis in children and adolescents with T1DM is related to obesity status at age 18.
Methods: Data from the Diabetes Education Resource for Children and Adolescents database was used for this study. This unique database combines extensive clinical information on each patient with virtually universal coverage. The study population comprised all children 2-18 years old diagnosed with T1DM by DER-CA endocrinologists in Manitoba between 1997 and 2012 (N=377). BMI z- scores calculated from measured height and weight were used to classify BMI group membership using the 2000 Centers for Disease Control growth charts. Regression models were used to assess the association between change in BMI z-score six months after diagnosis, and BMI z-score at last visit prior to transfer to adult care. The models controlled for BMI z-score at diagnosis, sex, pubertal status and length of follow up. Additional stratified analyses examined sub-groups within the sample, to determine whether the effects were different for children with different characteristics (e.g. sex and pubertal status at diagnosis).
Results: At diagnosis, 9% of the study cohort was underweight, 68% normal weight, 15% overweight and 8% obese. Most, (91%) but not all patients gained weight in the six months after T1DM diagnosis and initiation of insulin therapy. The pattern of weight change differed by BMI group at diagnosis, sex, and pubertal status. At last visit, average BMI z-scores for all groups of patients were above zero, and varied less than BMI z-scores at diagnosis. Results of the multivariate analytic model (adjusted R2= 0.56) show that BMI z-score at diagnosis was most important, followed by female sex, change in BMI z-score in the six months after diagnosis, the interaction between BMI z-score at diagnosis and change in BMI z-score in the six months after diagnosis, and duration of follow up.
Conclusion: Results of this study demonstrate that patients’ BMI group, sex, and pubertal status at diagnosis influenced the pattern of their BMI z-score change in the six months after diagnosis, and thereafter. Diabetic care teams may need to monitor not only the amount of weight change in the period after T1DM diagnosis, but also consider BMI at diagnosis.
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Effect of diet, physical activity, and lifestyle characteristics on body weight of incoming freshmen at a midwestern universityBayless, Anthea J. January 2006 (has links)
The purpose of this study was to determine the effect of diet, physical activity, and lifestyle characteristics on body weight of incoming freshmen at a Midwestern university. Research shows that many college students gain weight during their first year at college due to a change in dietary habits, lack of physical activity, and other lifestyle characteristics, such as drinking alcohol and smoking cigarettes.A systematic sample of incoming freshmen completed an online pre- and post-questionnaire regarding diet, physical activity, and lifestyle characteristics. In addition, students had their height and weight measurements taken to determine body mass index at the beginning and end of their first semester in college.Of the 69 incoming freshmen who participated in this study, 66.7% (n=46) gained an average of 2.6 ± 2.1 pounds and increased their BMI from 24.7 to 25.0 kg/m2 in one semester; 24.6% (n=17) lost an average of 1.5 ± 1.0 pounds. More than half of the students reported they usually tried to make healthy eating choices; however, 58% of the students reported having on average 2 meals per day and the majority did not meet the recommended number of servings for all five food groups. Less than 50% of the students exercised 3 or more days per week and less than one-third strength trained. The majority of incoming freshmen neither smoked nor consumed alcohol. Interestingly, there was an association of weight gain in college students who decreased the average number of meals they had each day or increased the average number of servings of fruits each week. / Department of Family and Consumer Sciences
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Dietary, Physical Activity, and Sedentary Behaviors and Their Relationship to Weight Gain in a College Age PopulationLee, Faegen Dillon 2012 August 1900 (has links)
Weight gain affects all living beings and excessive weight gain can lead to obesity and comorbidities linked to obesity. In order to better understand how the college student population gains weight and increase in BMI, data collected under the Council of Environment and Dietary Activity (CEDA) at Texas A&M University was examined and analyzed in order to understand how physical activity, sedentary behavior, and dietary activity affect weight gain or weight loss. The college population was divided into BMI categories, gender, and where they lived on campus at Texas A&M University. The data shows that physical activity was associated with loss of weight and BMI in females. Sedentary behavior was associated with weight gain in males but also weight loss in females. Meat consumption was associated with weight gain in males. Fish consumption was associated with weight loss in females. Pastries consumption was associated with weight gain in females. Physical activity appeared to have a stronger effect on weight than dietary behavior even though both can interact to affect weight for females. Speed of service and location have a significant effect on where students would eat. In conclusion, physical activity and sedentary activity have an effect on weight and BMI. Diet can also have an effect on weight and BMI. More specifically, sugar snacks affect weight in females and meat affects weight and BMI in males. However, physical activity appears to have a larger on weight and BMI than diet. Location also affects where a student will eat.
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Factors affecting weight development after pregnancy - the SPAWN (Stockholm Pregnancy And Women's Nutrition) study /Linné, Yvonne, January 2002 (has links)
Diss. (sammanfattning) Stockholm : Karol. inst., 2002. / Härtill 6 uppsatser.
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Weight stability and influences upon eating and exercise behaviors among college studentsJensen, Julie A. January 2007 (has links)
Thesis (M.S.)--Oregon State University, 2008. / Includes bibliographical references (leaves 84-90).
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Essays on health economicsShafrin, Jason T. January 2009 (has links)
Thesis (Ph. D.)--University of California, San Diego, 2009. / Title from first page of PDF file (viewed June 16, 2009). Available via ProQuest Digital Dissertations. Vita. Includes bibliographical references (p. 101-113).
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The effect of dietary selenium on weight gain and gonad production in the sea urchin Lytechinus variegatusJones, Warren T. January 2007 (has links) (PDF)
Thesis (M.S.)--University of Alabama at Birmingham, 2007. / Description based on contents viewed Oct. 3, 2008; title from PDF t.p. Includes bibliographical references (p. 39-53).
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