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| 1 | Prevention and promotion in decentralized rhealth systems:a comparative study fromnortheast Brazil显示文摘 | Sarah Atkinson Lucilia | 2005 | Health Policy and Planning2005，20，2： | 1 |
| 2 | Prevention and promotion in decentralized rural health systems: a comparative study from northeast Brazil 显示文摘 | Sarah Atkinson Lucilia | 2005 | Health Policy and Planning2005，20，2： | 1 |
| 3 | Prevention and promotion in decentralized rural health systems: a comparative study from northeast Brazil 显示文摘 | Sarah Atkinson Lucilia Fernandes Andrea caprara | 2005 | Health Policy Plan2005，20，2： | 1 |
| 4 | Introduction:international perspectives on the new enclavism and the rise of gated communities显示文摘 | Rowland Atkinson Sarah Brandy | 2005 | Housing Studies2005，20，2： | 1 |
| 5 | Prevention and promotion in decentralized rural health systems: a comparative study from northeast Brazil 显示文摘 | Sarah Atkinson Lucilia | 2005 | Health Policy and Planning2005，20，2： | 1 |
| 6 | Scales of care and responsibility: debating the surgically globalised body显示文摘 | Sarah Atkinson | 2011 | Social & Cultural Geography2011，，6： | 1 |
| 7 | Individual and district scale determinants of users' satisfaction with primary health care in developing countries 显示文摘 | Sarah Atkinson | 2005 | Social Science & Medicine2005，60，： | 1 |
| 8 | Prevention and Promotion in Decentralized Rural Health Systems: a Comparative Study from Northeast Brazil 显示文摘 | Sarah Atkinson Lucilia | 2005 | Health Policy and Planning2005，20，2： | 1 |
| 9 | Care of the body: spaces of practice显示文摘 | Sarah Atkinson Victoria Lawson Janine Wiles | 2011 | Social & Cultural Geography2011，，6： | 1 |
| 10 | Medical,behavioural and social preconception and interconception risk factors among pregnancy planning and recently pregnant Canadian women显示文摘Objectives The objective of this study is to describe the clustering of medical,behavioural and social preconception and interconception health risk factors and determine demographic factors associated with these risk clusters among Canadian women.Design Cross-sectional data were collected via an online questionnaire assessing a range of preconception risk factors.Prevalence of each risk factor and the total number of risk factors present was calculated.Multivariable logistic regression models determined which demographic factors were associated with having greater than the mean number of risk factors.Exploratory factor analysis determined how risk factors clustered,and Spearman’s r determined how demographic characteristics related to risk factors within each cluster.Setting Canada.Participants Participants were recruited via advertisements on public health websites,social media,parenting webpages and referrals from ongoing studies or existing research datasets.Women were eligible to participate if they could read and understand English,were able to access a telephone or the internet,and were either planning a first pregnancy(preconception)or had≥1 child in the past 5 years and were thus in the interconception period.Results Most women(n=1080)were 34 or older,and were in the interconception period(98%).Most reported risks in only one of the 12 possible risk factor categories(55%),but women reported on average 4 risks each.Common risks were a history of caesarean section(33.1%),miscarriage(27.2%)and high birth weight(13.5%).Just over 40%had fair or poor eating habits,and nearly half were not getting enough physical activity.Three-quarters had a body mass index indicating overweight or obesity.Those without a postsecondary degree(OR 2.35;95%CI 1.74 to 3.17)and single women(OR 2.22,95%CI 1.25 to 3.96)had over twice the odds of having more risk factors.Those with two children or more had 60%lower odds of having more risk factors(OR 0.68,95%CI 0.52 to 0.86).Low education and being born outside Canada were correlated with the greatest number of risk clusters.Conclusions Many of the common risk factors were behavioural and thus preventable.Understanding which groups of women are prone to certain risk behaviours provides opportunities for researchers and policy-makers to target interventions more efficiently and effectively. | Cindy-Lee Dennis Alessandra Prioreschi Hilary K Brown Sarah Brennenstuhl Rhonda C Bell Stephanie Atkinson Dragana Misita Flavia Marini Sarah Carsley Nilusha Jiwani-Ebrahim Catherine Birken | 2022 | Family Medicine and Community Health2022，10，3： | 0 |
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