scholarly journals The novel coronavirus disease (COVID-19) outbreak trends in mainland China: a joinpoint regression analysis of the outbreak data from January 10 to February 11, 2020

2020 ◽  
Author(s):  
Syed Mahfuz Al Hasan ◽  
Jennifer Saulam ◽  
Kanae Kanda ◽  
Tomohiro Hirao
Keyword(s):  
Regression Analysis ◽  
Mainland China ◽  
The Novel ◽  
Joinpoint Regression ◽  
Joinpoint Regression Analysis ◽  
Novel Coronavirus

Increases of suicide rates in Kansas: results from 2009-2018

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Jason D. Lloyd ◽  
David W. Oakley
Keyword(s):  
Regression Analysis ◽  
Design Methodology ◽  
Percentage Change ◽  
Sex Characteristics ◽  
Annual Percentage Change ◽  
Joinpoint Regression ◽  
Content Type ◽  
Suicide Rates ◽  
Joinpoint Regression Analysis ◽  
The Difference

Purpose The purpose of this study is to evaluate the increase in suicide rates for Kansas residents, as well as quantify the difference in suicide rates between men and women across the State of Kansas. Design/methodology/approach To evaluate increases in suicide rates, a joinpoint regression analysis was conducted to calculate the annual percentage change in suicide rates. To evaluate differences between sex characteristics, a one-way analysis of variance was conducted. Findings Results of a joinpoint regression analysis found that the annual percentage change in the suicide rates of Kansas did increase significantly between 2009 and 2018. Furthermore, the rate of suicide increase among women was greater than the suicide rate increases of men. Originality/value The value of this study provides context to the suicide literature that could allow for better local and statewide policy decisions.

scholarly journals Temporal Trends in Apparent Food Consumption in Bangladesh: A Joinpoint Regression Analysis of FAO’s Food Balance Sheet Data from 1961 to 2013

Nutrients ◽  
2019 ◽  
Vol 11 (8) ◽  
pp. 1864 ◽  
Author(s):  
Syed Mahfuz Al Hasan ◽  
Jennifer Saulam ◽  
Kanae Kanda ◽  
Tomohiro Hirao
Keyword(s):  
Regression Analysis ◽  
Food Consumption ◽  
Vegetable Oils ◽  
Structural Changes ◽  
Temporal Trends ◽  
Balance Sheet ◽  
Joinpoint Regression ◽  
Annual Percent Change ◽  
Dietary History ◽  
Joinpoint Regression Analysis

We analyzed the temporal trends and significant changes in apparent food consumption or availabilityin Bangladesh from 1961 to 2013. Due to the lack of a long-term national dietary intake dataset, this study used data derived from the FAO’s food balance sheets. We used joinpoint regression analysis to identify significant changes in the temporal trends. The annual percent change (APC) was computed for each segment of the trends. Apparent intake of starchy roots, eggs, fish, vegetables, milk, and vegetable oils significantly has increased (p < 0.05) in the Bangladeshi diet since 1961; whereas cereals changed by merely 4.65%. Bangladesh has been experiencing three structural changes in their dietary history after the Liberation War, though the intake level has been grossly inadequate. Initially, since the late-1970s, apparent vegetable oils intake increased at a market rate (APC = 7.53). Subsequently, since the early-1990s, the real force behind the structural change in the diet has been the increasing trends in the apparent intake of fish (APC = 5.05), eggs (APC = 4.65), and meat (APC = 1.54). Lastly, since the early 2000s, apparent intakes of fruits (APC = 20.44), vegetables (APC = 10.58), and milk (APC = 3.55) increased significantly (p <0.05). This study result reveals and quantifies the significant secular changes in the dietary history of Bangladesh from 1961 to 2013. Bangladesh has experienced inadequate but significant structural changes in the diet in the late-1970s, early-1990s, and early-2000s. Overabundance of cereals and inadequate structural changes in the diet may have caused the increasing prevalence of overweightness and emergence of diet-related, non-communicable diseases in Bangladesh.

Equity dimensions of the decline in under‐five mortality in Ghana: a joinpoint regression analysis

2020 ◽  
Vol 25 (6) ◽  
pp. 732-739
Author(s):  
Jacob Albin Korem Alhassan ◽  
Daniel A. Adeyinka ◽  
Babayemi O. Olakunde
Keyword(s):  
Regression Analysis ◽  
Joinpoint Regression ◽  
Under Five ◽  
Joinpoint Regression Analysis

scholarly journals Research Trends in Evidence-Based Medicine: A Joinpoint Regression Analysis of More than 50 Years of Publication Data

PLoS ONE ◽  
2015 ◽  
Vol 10 (4) ◽  
pp. e0121054 ◽  
Author(s):  
Bui The Hung ◽  
Nguyen Phuoc Long ◽  
Le Phi Hung ◽  
Nguyen Thien Luan ◽  
Nguyen Hoang Anh ◽  
...  
Keyword(s):  
Regression Analysis ◽  
Evidence Based Medicine ◽  
Research Trends ◽  
Evidence Based ◽  
Joinpoint Regression ◽  
Joinpoint Regression Analysis ◽  
Publication Data ◽  
Based Medicine
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