Suchergebnisse

ABSTRACT Childbirth is the process of spending conception results (fetus and Uri) that has enough months (37 - 42 weeks) or can live outside the womb through the birth canal, then followed by the removal of the placenta and fetal membranes (Retnani, 2013). In childbirth mothers usually experience various difficulties, one of the complications is preeclampsia. Preeclampsia is a vasospastic disease, which involves many systems and is characterized by hemoconcentration, hypertension, and proteinuria. Obese women before pregnancy have a greater risk of suffering from preeclampsia than normal women. Excessive weight gain during pregnancy can also increase the risk of preeclampsia in pregnant women. The purpose of this study was to determine the relationship between the Body Mass Index and the incidence of Preeclampsia in women giving birth in Bulukumba District in 2017. This study uses Historical Cohort design. The sample in the study was selected with a Cluster Sampling method of 332 people. Data collection methods are carried out using Secondary data. Data were analyzed by univariate and bivariate analysis using Chi-Square statistical tests. The results showed that P-value = 0,000 (P <0,05) it was proven that the Body Mass Index was more significantly related to the incidence of Preeclampsia. It is expected that the results of this study can be used as a means of learning in an effort to broaden students' horizons regarding the incidence of preeclampsia in women who are related to the Body Mass Index and can be input for the District / City in following up on these problems by proclaiming programs in the city government, so they can reduce the incidence of Preeclampsia.

BACKGROUND: Pregestational excessive body mass index (BMI) is linked to an increased risk for gestational diabetes mellitus (GDM), but less is known on the effect of adolescent BMI on GDM occurrence. The study aimed to investigate possible associations of adolescent BMI and changes in BMI experienced before first pregnancy, with gestational diabetes risk. METHODS: This retrospective study was based on linkage of a military screening database of adolescent health status (Israel Defence Forces) including measured height and weight, with medical records (Maccabi Healthcare Services, MHS) of a state-mandated health provider. The latter covers about 25% of the Israeli population; about 90% of pregnant women undergo screening by the two-step Carpenter-Coustan method. Adolescent BMI was categorized according to Center of Disease Control and Prevention percentiles. Only first documented pregnanies were analyzed and GDM was the outcome. FINDINGS: Of 190,905 nulliparous women, 10,265 (5.4%) developed GDM. Incidence proportions of GDM were 5.1%, 6.1%, 7.3%, and 8.9% among women with adolescent normal BMI, underweight, overweight, and obesity (p<0.001), respectively. In models that accounted for age at pregnancy, birth year, and sociodemographic variables, the adjusted odd ratios (aORs) for developing GDM were: 1.2 (95%CI, 1.1-1.3), 1.5 (1.4-1.6), and 1.9 (1.7-2.1) for adolescent underweight, overweight, and obesity (reference group, normal BMI). Adolescent BMI tracked with BMI notes in the pre-pregnancy period (r=63%). Resuming normal pre-pregnancy BMI from overweight or obesity in adolescence diminished GDM risk, but this diminished risk was not observed among those who returned to a normal per-pre-pregnancy BMI from being underweight in adolescence. Sustained overweight or obesity conferred an aOR for developing GDM of 2.5 (2.2-2.7); weight gain from adolescent underweight and normal BMI to pre-pregnancy excessive BMI conferred aORs of 3.1 (1.6-6.2) and 2.6 (2.2-2.7), respectively. INTERPRETATION: Change in BMI status ...

"This study examines the relationship between child weight and fast food and fruit and vegetable prices and the availability of fast food restaurants, full-service restaurants, supermarkets, grocery stores and convenience stores. We estimate cross-sectional and individual-level fixed effects (FE) models to account for unobserved individual-level heterogeneity. Data are drawn from the Child Development Supplement of the Panel Study of Income Dynamics combined with external food price and outlet density data at the zip code level. FE results show that higher fruit and vegetable prices are statistically significantly related to a higher body mass index (BMI) percentile ranking among children with greater effects among low-income children: fruit and vegetable price elasticity for BMI is estimated to be 0.25 for the full sample and 0.60 among low-income children. Fast food prices are statistically significantly related to child weight only in cross-sectional models among low-income children with a price elasticity of -0.77. Increased supermarket availability and fewer available convenience stores are related with lower weight outcomes among low-income children. These results provide evidence on the potential effectiveness of using fiscal pricing interventions such as taxes and subsidies and other interventions to improve supermarket access as policy instruments to address childhood obesity"--National Bureau of Economic Research web site

SummaryThis study assesses differential labour performance by body mass index (BMI), focusing on heterogeneity across three distinct employment statuses: unemployed, self-employed and salaried. Data were drawn from the Korean Labor and Income Panel Study. The final sample included 15,180 person-year observations (9645 men and 5535 women) between 20 and 65 years of age. The findings show that (i) overweight/obese women are less likely to have salaried jobs than underweight/normal weight women, whereas overweight/obese men are more likely to be employed in both the salaried and self-employed sectors than underweight/normal men, (ii) overweight/obese women have lower wages only in permanent salaried jobs than underweight/normal weight women, whereas overweight/obese men earn higher wages only in salaried temporary jobs than underweight/normal weight women, (iii) overweight/obese women earn lower wages only in service, sales, semi-professional and blue-collar jobs in the salaried sector than underweight/normal weight women, whereas overweight/obese men have lower wages only in sales jobs in the self-employed sector than underweight/normal weight women. The statistically significant BMI penalty in labour market outcomes, which occurs only in the salaried sector for women, implies that there is an employers' distaste for workers with a high BMI status and that it is a plausible mechanism for job market penalty related to BMI status. Thus, heterogeneous job characteristics across and within salaried versus self-employed sectors need to be accounted for when assessing the impact of BMI status on labour market outcomes.

"Measuring the body mass index (BMI) of students in schools is an approach to address obesity that is attracting much attention across the nation from researchers, school officials, legislators, and the media. In 2005, the Institute of Medicine called upon the federal government to develop guidance for BMI measurement programs in schools. The Centers for Disease Control and Prevention produced 'Body Mass Index Measurement in Schools' to describe the purpose of school-based BMI surveillance and screening programs, examine current practices, and review research on BMI measurement programs. The article summarizes the recommendations of experts, identifies concerns surrounding programs, and outlines needs for future research. Guidance is provided on specific safeguards that need to be addressed before schools decide to collect BMI information." ; Title from PDF title screen (viewed June 14, 2010). ; Executive summary of an article published in Journal of school health. 2007;77(10):651-671. ; Includes bibliographical references (p. 5). ; Nihiser AJ, Lee SM, Wechsler H, McKenna M, Odom E, Reinold C, Thompson D, Grummer-Strawn L. Body Mass Index Measurement in Schools. Journal of School Health. 2007;77(10):651-671.

Obesity is projected to increase in the coming years, despite the various socioeconomic policies implemented by governments and policy makers. As a result, some studies have suggested that obesity should be looked at from a psychological point of view, that is, individuals' propensity to become addicted to the consumption of fat-rich foods. Although previous studies have supported this, the results have been inconclusive: methodologically and geographically. This study uses a robust approach to elicit the risk and time preferences of food consumers. It goes further to ascertain the correlations between these parameters and obesity. Despite the methodological and geographical differences, our results support a strong relationship between body mass Index and risk aversion, but not for loss aversion. In addition, time discounting significantly influences individuals' propensity to increase body mass Index. ; Peer Reviewed ; Postprint (author's final draft)

Objective: This study presents anthropometric data for individuals with high body mass index (BMI). Modified anthropometric dimensions were also developed to address the challenges of obtaining accurate and repeatable data for this population segment. Background: The prevalence of obesity affects approximately 40% of the U.S. adult population. Anthropometric data are needed to guide product design and safety, but few individuals with high BMI have been measured in available datasets. Method: Anthropometric data for a convenience sample of 288 adults with high BMI (≥30 kg/m2) were collected. To increase participation and minimize participant discomfort, measurements were collected at three bariatric weight loss clinics and one academic research institution. Results: The current obese cohort are heavier than the U.S. general population, with a difference in mean body weight of 47 kg for women and 56 kg for men. The obese cohort are also heavier and have a higher BMI compared with the NIOSH (National Institute for Occupational Safety and Health) truck driver population. Waist circumferential measures of the current obese cohort were larger than women or men in either population compared, a result indicative of meaningful body shape differences. Conclusion: To our knowledge, this study is the first to collect anthropometric data for the obese population segment and conduct comparisons to the U.S. general population and available occupational databases. The obese cohort differed substantially with respect to the distributions of anthropometric variables. Application: These data provide insights about the obese population segment that are relevant to product design, and establish a foundation for future data collection efforts.

Background: Malnutrition is a common cause of morbidity and mortality amongst children with TOF. Objective: To analyze the BMI profile of children with TOF age 0 – 18 years old at Pediatric Department, Dr. Soetomo General Hospital, Surabaya. Material and method: A cross-sectional study of the BMI from the medical record of TOF patients age 0 – 18 years old at the Pediatric Department, Dr. Soetomo General Hospital, Surabaya since January 2016 to December 2017 was conducted. The data included gender, age group, demographic distribution, weight, and height. BMI was calculated by WHO formula reference; body weight (kg) divided by height squared body (m2), which was converted into z-score histogram size. BMI classification was guided by the Government's Anthropometry Standards for Nutritional Status Assessment. Result: From 84 TOF patients, there were 43 males (51%) and 41 females (49%). The most dominant age group is 0 – 4 years old (n=47;56%). The majority of patients were from outside of Surabaya (n=64;76,2%). Based on their BMI, 36 patients (42.9%) have severe underweight, 10 patients (11.9%) were underweight, and 35 patients (41.7%) were normal, whilst the rests (3.6%) were overweight. Conclusion: In this study, the number of male patients was slightly higher than female patients. The majority of TOF patients were 0 – 4 years old and resided out town of Surabaya. The predominant BMI found was the underweight and severe underweight below of normal BMI.