scholarly journals Trends and predictors of optimal breastfeeding among children 0–23 months, South Asia: Analysis of national survey data

2018 ◽  
Vol 14 (S4) ◽  
Author(s):  
Rukundo K. Benedict ◽  
Hope C. Craig ◽  
Harriet Torlesse ◽  
Rebecca J. Stoltzfus
Keyword(s):  
South Asia ◽  
Survey Data ◽  
National Survey

Is the Personal Always Political?

2017 ◽  
Vol 38 (3) ◽  
pp. 133-143 ◽  
Author(s):  
Danny Osborne ◽  
Yannick Dufresne ◽  
Gregory Eady ◽  
Jennifer Lees-Marshment ◽  
Cliff van der Linden
Keyword(s):  
Survey Data ◽  
National Survey ◽  
Negative Relationship ◽  
Openness To Experience ◽  
Political Sophistication ◽  
Knowledge Based

Abstract. Research demonstrates that the negative relationship between Openness to Experience and conservatism is heightened among the informed. We extend this literature using national survey data (Study 1; N = 13,203) and data from students (Study 2; N = 311). As predicted, education – a correlate of political sophistication – strengthened the negative relationship between Openness and conservatism (Study 1). Study 2 employed a knowledge-based measure of political sophistication to show that the Openness × Political Sophistication interaction was restricted to the Openness aspect of Openness. These studies demonstrate that knowledge helps people align their ideology with their personality, but that the Openness × Political Sophistication interaction is specific to one aspect of Openness – nuances that are overlooked in the literature.

Determinants of Fast Repeat Migrations of the Labor Force: Evidence from the Linked National Survey Data of Taiwan

1999 ◽  
Vol 31 (5) ◽  
pp. 925-945 ◽  
Author(s):  
J-P Lin ◽  
K-L Liaw ◽  
C-L Tsay
Keyword(s):  
Labor Force ◽  
Survey Data ◽  
National Survey

scholarly journals Multimorbidity prevalence and pattern in Indonesian adults: an exploratory study using national survey data

BMJ Open ◽  
2015 ◽  
Vol 5 (12) ◽  
pp. e009810 ◽  
Author(s):  
Mohammad Akhtar Hussain ◽  
Rachel R Huxley ◽  
Abdullah Al Mamun
Keyword(s):  
Survey Data ◽  
National Survey ◽  
Exploratory Study

Equity in health care after 10 years of the New Rural Co-operative Medical Insurance Scheme in China: an analysis of national survey data

The Lancet ◽  
2018 ◽  
Vol 392 ◽  
pp. S35 ◽  
Author(s):  
Yaoguang Zhang ◽  
Di Dong ◽  
Ling Xu ◽  
Zhiwen Miao ◽  
Wenhui Mao ◽  
...  
Keyword(s):  
Health Care ◽  
Survey Data ◽  
National Survey ◽  
Medical Insurance ◽  
Insurance Scheme ◽  
Equity In Health ◽  
Equity In Health Care

scholarly journals Changes in exclusive breastfeeding practices and its determinants in India, 1992–2006: analysis of national survey data

2015 ◽  
Vol 10 (1) ◽  
Author(s):  
Nomita Chandhiok ◽  
Kh. Jitenkumar Singh ◽  
Damodar Sahu ◽  
Lucky Singh ◽  
Arvind Pandey
Keyword(s):  
Survey Data ◽  
National Survey ◽  
Exclusive Breastfeeding ◽  
Breastfeeding Practices

scholarly journals Enhancing national data to align with policy objectives: Aboriginal and Torres Strait Islander smoking prevalence at finer geographic levels

2018 ◽  
Vol 42 (3) ◽  
pp. 348 ◽  
Author(s):  
Alyson Wright ◽  
Ray Lovett ◽  
Yvette Roe ◽  
Alice Richardson
Keyword(s):  
Survey Data ◽  
National Survey ◽  
Torres Strait Islander ◽  
Smoking Prevalence ◽  
Geospatial Analysis ◽  
Daily Smoking ◽  
Sample Sizes ◽  
Regional Patterns ◽  
Significant Difference ◽  
Torres Strait

Objectives The aim of the study was to assess the utility of national Aboriginal survey data in a regional geospatial analysis of daily smoking prevalence for Aboriginal and Torres Strait Islander Australians and discuss the appropriateness of this analysis for policy and program impact assessment. Methods Data from the last two Australian Bureau of Statistics (ABS) national surveys of Aboriginal and Torres Strait Islander people, the National Aboriginal and Torres Strait Islander Social Survey 2014–15 (n = 7022 adults) and the National Aboriginal and Torres Strait Islander Health Survey 2012–13 (n = 10 896 adults), were used to map the prevalence of smoking by Indigenous regions. Results Daily smoking prevalence in 2014–15 at Indigenous regions ranges from 27.1% (95%CI 18.9–35.3) in the Toowoomba region in Queensland to 68.0% (95%CI 58.1–77.9) in the Katherine region in the Northern Territory. The confidence intervals are wide and there is no significant difference in daily smoking prevalence between the two time periods for any region. Conclusion There are significant limitations with analysing national survey data at finer geographical scales. Given the national program for Indigenous tobacco control is a regional model, evaluation requires finer geographical analysis of smoking prevalence to inform public health progress, policy and program effects. Options to improve the data currently collected include increasing national survey sample sizes, implementing a smoking status question in census surveys, investing in current cohort studies focused on this population or implementing localised surveys. What is known about the topic? The last geospatial analysis of Aboriginal and Torres Strait Islander smoking prevalence was undertaken in 1997. Current national survey data have not been analysed geospatially. What does this paper add? This paper provides new insights into the use of national survey data for understanding regional patterns and prevalence levels of smoking in Aboriginal and Torres Strait Islander populations. What are the implications for practitioners? The findings of the study suggest caution when interpreting prevalence maps and highlight the need for greater sample sizes in national survey data. The analysis is also an opportunity to assess the use of national survey data in evaluating the policy impact of programs targeted at a regional level.

scholarly journals Assessing a multilevel model of young children’s oral health with national survey data

2010 ◽  
Vol 38 (4) ◽  
pp. 287-298 ◽  
Author(s):  
Matthew D. Bramlett ◽  
Mah-J Soobader ◽  
Susan A. Fisher-Owens ◽  
Jane A. Weintraub ◽  
Stuart A. Gansky ◽  
...  
Keyword(s):  
Oral Health ◽  
Survey Data ◽  
National Survey ◽  
Multilevel Model ◽  
Children’S Oral Health
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