Introduction to SPSS

This is an introductory hands-on workshop of SPSS statistical software. We will work through SPSS together exploring data and performing all the standard analysis methods (Correlation, T-test, ANOVA, Cross-tabs, etc), and discuss how these methods should be selected based on the type of data and the type of research question you have. This is geared towards students or faculty who have taken some graduate level statistics courses and are now in the midst of applying quantitative analysis to their own research project.Biostatistics Consulting Center Indiana Statistical Consulting Center Social Science Research Common

Men’s health – the impact of stroke

Stroke is a leading cause of adult death and the most common cause of complex disability in the UK. This article discusses the incidence and impact of stroke, focusing on a range of issues from a male perspective, including stroke prevention, psychological needs, sexuality and return to work. There are some gender differences in modifiable risk factors for stroke, and women have better knowledge of stroke symptomatology. For men, the development of post-stroke depression is associated with greater physical disability. (c) Sherborne Gibbs Limite

Effect size for single-subject design in phonological treatment

Purpose: To document, validate, and corroborate effect size (ES) for single-subject design in treatment of children with functional phonological disorders; to evaluate potential child-specific contributing variables relative to ES; and to establish benchmarks for interpretation of ES for the population. Method: Data were extracted from the Developmental Phonologies Archive for 135 preschool children with phonological disorders who previously participated in single-subject experimental treatment studies. Standard Mean DifferenceAll with Correction for Continuity was computed to gauge the magnitude of generalization gain that accrued longitudinally from treatment for each child, with the data aggregated for purposes of statistical analyses. Results: ES ranged from 0.09 to 27.83 for the study population. ES was positively correlated with conventional measures of phonological learning and visual inspection of learning data based on procedures standard to single-subject design. ES was linked to children’s performance on diagnostic assessments of phonology, but not other demographic characteristics or related linguistic skills and nonlinguistic skills. Benchmarks for interpretation of ES were estimated as 1.4, 3.6, and 10.1 for small, medium, and large learning effects, respectively. Conclusion: Findings have utility for single-subject research and translation of research to evidence-based practice for children with phonological disorders.National Institutes of Health DC00433, RR7031K, DC00076, DC001694 (PI: Gierut

Beliefs about Staying Home: Findings from a Nationally Representative Probability Sample of U.S. Adults in the Early Days of the COVID-19 Epidemic

Understanding the beliefs about staying home is essential to inform stay-at-home policies to mitigate COVID-19 and future epidemics. This study (1) identified the salient advantages, disadvantages, and facilitating beliefs about staying home, and (2) examined the relationship between these beliefs and intention. U.S. adults from a nationally representative probability-based household panel completed an online reasoned action approach belief elicitation from April 10-20, 2020, about one month after stay-at-home guidelines were implemented. First, we conducted an inductive content analysis to reveal salient beliefs about staying home. We identified eight advantages, 12 disadvantages, and 12 facilitators that broadly spanned across health domains: individual, population, interpersonal, occupational, financial, and leisure health. Then, we conducted three regression analyses, one for each of the three sets of beliefs, predicting intention to stay home for the next month from worker status and belief mentioned. In these regression analyses, four advantages, four disadvantages, and four facilitators made independent contributions to explaining intention. The breadth of the elicited beliefs suggests that COVID-19 is perceived to have impacted many dimensions of our lives, and that interventions need to be just as broad. Communication and educational interventions could help people understand the benefits of staying home to themselves, to their families, and to the wider community. Programs that keep essential supplies available could help people stay home. Structural interventions with financial safety nets and policies that help people stay employed during an epidemic might address people’s concerns about the impact of staying home on their financial and occupational health

Relationship between maternal obesity and prenatal, metabolic syndrome, obstetrical and perinatal complications of pregnancy in Indiana, 2008-2010

BACKGROUND : Obesity is a serious medical condition affecting more than 30 % of Indiana, and 25 % of Unites States pregnant women. Obesity is related to maternal complications, and significantly impacts the health of pregnant women. The objective of this study was to describe the relationship between maternal complications and pre-pregnancy maternal weight. METHODS : Using logistic regression models, we analyzed 2008 to 2010 birth certificate data, for 255,773 live births abstracted from the Indiana Vital Statistics registry. We examined the risk of reproductive factors, obstetrical complications and perinatal (intrapartum) complications for underweight, healthy weight, overweight and obese women for this population. RESULTS : Women who received prenatal care were more likely to be obese [adjusted odds ratio (AOR) = 1.82 (1.56–2.13)]. While women with parity of zero (0) were less likely to be obese [AOR = 0.89, 95 % CI (0.86–0.91)]. Women giving birth to twins [AOR = 1.25, 95 % CI (1.17– 1.33)], women delivering by Caesarian section [AOR = 2.31, 95 % CI ( 2.26–2.37)], and women who previously had a Caesarian section [AOR = 1.95, 95 % CI (1.88–2.02)] were more likely to be obese. There was evidence of metabolic like complication in this population, due to obesity. Obesity was significantly associated with obstetrical conditions of the metabolic syndrome, including pre-pregnancy diabetes, gestational diabetes, pre-pregnancy hypertension, pregnancy-induced hypertension and eclampsia [AOR = 5.12, 95 % CI (4.47–5.85); AOR = 3.87, 95 % CI (3.68–4.08); AOR = 7.66, 95 % CI (6.77–8.65); AOR = 3.23, 95 % CI (3.07–3.39); and AOR = 1.77, 95 % CI (1.31–2.40), respectively. Maternal obesity modestly increased the risk of induction, epidural, post-delivery bleeding, and prolonged labor [AOR = 1.26, 95 % CI (1.23–1.29); AOR = 1.15, 95 % CI (1.13–1.18); AOR = 1.20, 95 % CI (1.12–1.28); and AOR = 1.44, 95 % CI (1.30–1.61)], respectively. Obese women were less likely to have blood transfusions [AOR = .74, 95 % CI (0.58–96)], vaginal tears [AOR = 0.51, 95 % CI (0.44–0.59)], or infections [AOR = 86, 95 % CI (0.80–0.93)]. CONCLUSIONS : Our results suggest that maternal obesity in Indiana, like other populations in the USA, is associated with high risks of maternal complications for pregnant women. Pre-pregnancy obesity prevention efforts should focus on targeting children, adolescent and young women, if the goal to reduce the risk of maternal complications related to obesity, is to be reached.http://www.biomedcentral.com/bmcpregnancychildbirtham201

Racial and Socioeconomic Disparities in Cancer-Related Knowledge, Beliefs, and Behaviors in Indiana

Background: This statewide survey examined differences in cancer-related knowledge, beliefs, and behaviors between racial and socioeconomic groups in select counties in Indiana. Methods: A stratified random sample of 7,979 people aged 18–75 who lived in one of 34 Indiana counties with higher cancer mortality rates than the state average, and were seen at least once in the past year in a statewide health system were mailed surveys. Results: Completed surveys were returned by 970 participants, yielding a 12% response rate. Black respondents were less likely to perceive they were at risk for cancer and less worried about getting cancer. Individuals most likely to perceive that they were unlikely to get cancer were more often black, with low incomes (less than $20,000) or high incomes ($50,000 or more), or less than a high school degree. Black women were greater than six times more likely to be adherent to cervical cancer screening. Higher income was associated with receiving a sigmoidoscopy in the last 5 years and a lung scan in the past year. Those with the highest incomes were more likely to engage in physical activity. Both income and education were inversely related to smoking. Conclusions: Socioeconomic and racial disparities were observed in health behaviors and receipt of cancer screening. Black individuals had less worry about cancer. Impact: Understanding populations for whom cancer disparities exist and geographic areas where the cancer burden is disproportionately high is essential to decision-making about research priorities and the use of public health resources

Trial Characteristics and Appropriateness of Statistical Methods Applied for Design and Analysis of Randomized School-Based Studies Addressing Weight-Related Issues: A Literature Review

Objective. To evaluate whether clustering effects, often quantified by the intracluster correlation coefficient (ICC), were appropriately accounted for in design and analysis of school-based trials. Methods. We searched PubMed and extracted variables concerning study characteristics, power analysis, ICC use for power analysis, applied statistical models, and the report of the ICC estimated from the observed data. Results. N = 263 papers were identified, and N = 121 papers were included for evaluation. Overall, only a minority (21.5%) of studies incorporated ICC values for power analysis, fewer studies (8.3%) reported the estimated ICC, and 68.6% of studies applied appropriate multilevel models. A greater proportion of studies applied the appropriate models during the past five years (2013-2017) compared to the prior years (74.1% versus 63.5%, p = 0.176). Significantly associated with application of appropriate models were a larger number of schools (p = 0.030), a larger sample size (p = 0.002), longer follow-up (p = 0.014), and randomization at a cluster level (p < 0.001) and so were studies that incorporated the ICC into power analysis (p = 0.016) and reported the estimated ICC (p = 0.030). Conclusion. Although application of appropriate models has increased over the years, consideration of clustering effects in power analysis has been inadequate, as has report of estimated ICC. To increase rigor, future school-based trials should address these issues at both the design and analysis stages