Data obtained from the health in pregnancy and post birth study

Data is being obtained via a randomised controlled trial to measure the efficacy of specialised health coaching intervention designed to prevent excessive gestational weight gain and postpartum weight retention among women.

The study will collect data via a self-report questionnaire (available in hardcopy and online) at 5 time points across pregnancy and post-birth, including Pregnancy (16 -32 weeks gestation) and Postpartum period (6 weeks to 12 months post-birth). Objective measures are obtained by researchers in a consulting room in a clinic room within a hospital antenatal clinic. Hospital records are also accessed via the Bed Optimization System (BOS). Data obtained includes: demographic information (e.g., education, income), objective measures of height, weight and waist circumference, healthcare resource use general distress and psychopathology (stress, anxiety, depression), exercise and dietary habits, motivation/readiness to change, body dissatisfaction, labour experiences and birth outcomes.

Adolescent depressive symptoms and subsequent pregnancy, pregnancy completion and pregnancy termination in young adulthood : findings from the Victorian Adolescent Health Cohort Study

Study Objective: To examine relationships between depressive symptoms in adolescence (14-18 years of age) and becoming pregnant, completing a pregnancy (live birth) and terminating a pregnancy in young adulthood (21-24 years of age).

Participants and Design: Data from 1000 females were drawn from a larger sample of 1943 young Australians participating in a longitudinal study of adolescent health and development, followed across 8 waves from adolescence (waves 1-6) to young adulthood (waves 7 and 8).

Setting: Victoria, Australia.

Main Outcome Measures: Pregnancy, pregnancy completion and pregnancy termination between 21-24 years of age.

Results: We observed a twofold increase in the odds of becoming pregnant in those reporting persisting patterns of depressive symptoms during adolescence (2þ waves); however, after staged adjustment for adolescent antisocial behaviour, drug use and socioeconomic disadvantage, there was no evidence of association. Of particular note, and consistent with previous research, adolescent antisocial and drug use behavior were strongly associated with becoming pregnant and pregnancy termination in young adulthood.

Conclusions: Adolescent antisocial and drug use behavior, not depressive symptoms, independently predict pregnancy outcomes in young adulthood.

Maternal vitamin D in pregnancy may influence not only offspring bone mass but other aspects of musculoskeletal health and adiposity

Osteoporotic fractures, falls and obesity are major health problems in developed nations. Evidence suggests that there are antenatal factors predisposing to these conditions. Data are emerging from Australia and elsewhere to suggest that maternal vitamin D status in pregnancy affects intrauterine skeletal mineralisation and skeletal growth together with muscle development and adiposity. Given that low levels of vitamin D have been documented in many urbanised populations, including those in countries with abundant sunlight, an important issue for public health is whether maternal vitamin D insufficiency during pregnancy has adverse effects on offspring health. The developing fetus may be exposed to low levels of vitamin D during critical phases of development as a result of maternal hypovitaminosis D. We hypothesise that this may have adverse effects on offspring musculoskeletal health and other aspects of body composition. Further research focused on the implications of poor gestational vitamin D nutrition is warranted as these developmental effects are likely to have a sustained influence on health during childhood and in adult life. We suggest that there is a clear rationale for randomised clinical trials to assess the potential benefits and harmful effects of vitamin D supplementation during pregnancy.

Detecting unwanted email using VAT

Spam or unwanted email is one of the potential issues of Internet security and classifying user emails correctly from penetration of spam is an important research issue for anti-spam researchers. In this paper we present an effective and efficient spam classification technique using clustering approach to categorize the features. In our clustering technique we use VAT (Visual Assessment and clustering Tendency) approach into our training model to categorize the extracted features and then pass the information into classification engine. We have used WEKA (www.cs.waikato.ac.nz/ml/weka/) interface to classify the data using different classification algorithms, including tree-based classifiers, nearest neighbor algorithms, statistical algorithms and AdaBoosts. Our empirical performance shows that we can achieve detection rate over 97%.

Optimizing weight gain in pregnancy to prevent obesity in women and children

Pregnancy is now considered to be an important risk factor for new or persistent obesity among women during the childbearing years. High gestational weight gain is the strongest predictor of maternal overweight or obesity following pregnancy. A growing body of evidence also suggests that both high and low gestational weight gains are independently associated with an increased risk of childhood obesity, suggesting that influences occurring very early in life are contributing to obesity onset. In response to these data, the US Institute of Medicine (IOM) revised gestational weight gain guidelines in 2009 for the first time in nearly two decades. However, less than one third of pregnant women achieve guideline-recommended gains, with the majority gaining above IOM recommended levels. To date, interventions to optimize pregnancy weight gains have had mixed success. In this paper, we summarize the evidence from human and animal studies linking over-nutrition and under-nutrition in pregnancy to maternal and child obesity. In addition, we discuss published trials and ongoing interventions to achieve appropriate gestational weight gain as a strategy for obesity prevention in women and their children.

Pregnancy : physical and body image changes

Body dissatisfaction is often associated with negative psychological functioning, such as depression, and maladaptive behaviors, such as unhealthy eating and extreme weight loss behaviors, which have serious negative implications for women’s health and well-being, and potentially also for the unborn fetus during pregnancy. This article summarizes contemporary research in the area of body image during pregnancy, showing the development of knowledge in this area with increasing research interest in this topic in more recent times.

Transition to motherhood in type 1 diabetes : design of the pregnancy and postnatal well-being in transition questionnaires

Background : Life transitions are associated with high levels of stress affecting health behaviours among people with Type 1 diabetes. Transition to motherhood is a major transition with potential complications accelerated by pregnancy with risks of adverse childbirth outcomes and added anxiety and worries about pregnancy outcomes. Further, preparing and going through pregnancy requires vigilant attention to a diabetes management regimen and detailed planning of everyday activities with added stress on women. Psychological and social well-being during and after pregnancy are integral for good pregnancy outcomes for both mother and baby. The aim of this study is to establish the face and content validity of two novel measures assessing the well-being of women with type 1 diabetes in their transition to motherhood, 1) during pregnancy and 2) during the postnatal period.

Methods : The approach to the development of the Pregnancy and Postnatal Well-being in T1DM Transition questionnaires was based on a four-stage pre-testing process; systematic overview of literature, items development, piloting testing of questionnaire and refinement of questionnaire. The questionnaire was reviewed at every stage by expert clinicians, researchers and representatives from consumer groups. The cognitive debriefing approach confirmed relevance of issues and identified additional items.

Results : The literature review and interviews identified three main areas impacting on the women’s postnatal self-management; (1) psychological well-being; (2) social environment, (3) physical (maternal and fetal) well-being. The cognitive debriefing in pilot testing of the questionnaire identified that immediate postnatal period was difficult, particularly when the women were breastfeeding and felt depressed.

Conclusions : The questionnaires fill an important gap by systematically assessing the psychosocial needs of women with type 1 diabetes during pregnancy and in the immediate postnatal period. The questionnaires can be used in larger data collection to establish psychometric properties. The questionnaires potentially play a key role in prospective research to determine the self-management and psychological needs of women with type 1 diabetes transitioning to motherhood and to evaluate health education interventions.