scholarly journals Diabetes prevention in the Caribbean using Lifestyle Intervention and Metformin Escalation (LIME): Protocol for a hybrid Type-1 effectiveness-implementation trial using a quasi-experimental study design

2021 ◽  
pp. 100750
Author(s):  
Saria Hassan ◽  
Natasha Sobers ◽  
Joanne Paul-Charles ◽  
Joseph Herbert ◽  
Kavita Dharamraj ◽  
...  
Keyword(s):  
Experimental Study ◽  
Lifestyle Intervention ◽  
Study Design ◽  
Diabetes Prevention ◽  
Hybrid Type ◽  
Quasi Experimental ◽  
The Caribbean ◽  
Implementation Trial ◽  
Experimental Study Design

scholarly journals Pre and post orthodontic treatment changes in the sagittal and vertical skeletal dimension following all four first premolar extractions.

2020 ◽  
Vol 27 (12) ◽  
pp. 2775-2779
Author(s):  
Hana Pervez ◽  
Imtiaz Ahmed ◽  
Erum Behroz ◽  
Sadia Rizwan
Keyword(s):  
Experimental Study ◽  
Oral Health ◽  
Study Design ◽  
Orthodontic Treatment ◽  
Health Sciences ◽  
Lateral Cephalogram ◽  
Quasi Experimental ◽  
Orthodontic Patients ◽  
Treatment Changes ◽  
Experimental Study Design

Objectives: To determine mean change in sagittal and vertical skeletal dimension in patients undergoing orthodontic treatment with all four first premolar extractions. Study Design: Quasi-experimental study design. Setting: Department of Orthodontics, Dr. Ishrat-Ul-Ebad Khan Institute of Oral Health Sciences, Dow University of Health Sciences, Karachi. Period: Six months from 18th August 2015 to 18th February 2016. Material & Methods:  50 cases treated with all first premolar extractions were included in this study. The analysis was done on pretreatment cephalogram taken at time of enrolment and post treatment lateral cephalogram taken after 12 months of orthodontic treatment and then their measurements were compared to find out changes in the sagittal and vertical dimension. Results: Pre and post mean SNA, SNB, ANB and Pog-Nperp was not significant  while mean A-Nperp was significantly changed after 12 month treatment (p=0.002). Regarding angular measurement, pre and post mean SNMP, FHMP, MMA, Go-OP, SN-OP, Y axis was not significant while mean SN-PP, UI_SN, IMPA was significantly reduced after 12 month treatment. Similarly vertical measurement, pre and post mean LAFH, PFH was not significant while mean UAFH and, TAFH was significantly reduced after 12 months of treatment. Conclusion: Sagittal and vertical skeletal dimension showed no significant change in patients undergoing orthodontic treatment with all four first premolar extractions. Some degree of extrusion was noted in all orthodontic patients who have undergone all four first premolar extractions.

scholarly journals Relationship Between Age and Weight Loss in Noom: Quasi-Experimental Study (Preprint)

2020 ◽  
Author(s):  
Laura DeLuca ◽  
Tatiana Toro-Ramos ◽  
Andreas Michaelides ◽  
Elizabeth Seng ◽  
Charles Swencionis
Keyword(s):  
Older Adults ◽  
Experimental Study ◽  
Weight Loss ◽  
Body Weight ◽  
Behavior Change ◽  
Lifestyle Intervention ◽  
Diabetes Prevention ◽  
Middle Aged ◽  
Obesity And Diabetes ◽  
Quasi Experimental

BACKGROUND The prevalence of obesity and diabetes among middle-aged and older adults is on the rise, and with an increase in the world population of adults aged 60 years and older, the demand for health interventions across age groups is growing. Noom is an mHealth behavior change lifestyle intervention that provides users with tracking features for food and exercise logging and weighing-in as well as access to a virtual 1:1 behavior change coach, support group, and daily curriculum that includes diet-, exercise-, and psychology-based content. Limited research has observed the effect of age on a mobile health (mHealth) lifestyle intervention. OBJECTIVE The goal of the research was to analyze engagement of middle-aged and older adults using a mobile lifestyle or diabetes prevention intervention. METHODS A total of 14,767 adults (aged 35 to 85 years) received one of two curricula via an mHealth intervention in a quasi-experimental study: the Healthy Weight program (HW) by Noom (84%) or the Noom-developed Diabetes Prevention Program (DPP), recognized by the US Centers for Disease Control and Prevention (CDC). The main outcome measure was weight over time, observed at baseline and weeks 16 and 52. RESULTS Linear mixed modeling found age to be a significant predictor of weight at week 16 (<i>F</i><sub>2,1398.4</sub>=9.20; <i>P</i>&lt;.001; baseline vs week 16: <i>β</i>=–.12, 95% CI –0.18 to –0.07), suggesting that as age increases by 1 year, weight decreased by 0.12 kg. An interaction between engagement and age was also found at week 52 (<i>F</i><sub>1,14680.51</sub>=6.70; <i>P</i>=.01) such that engagement was more strongly associated with weight for younger versus older adults (age × engagement: <i>β</i>=.02, 95% CI 0.01 to 0.04). HW users lost 6.24 (SD 6.73) kg or 5.2% of their body weight and DPP users lost 5.66 (SD 7.16) kg or 8.1% of their body weight at week 52, meeting the CDC standards for weight loss effects on health. CONCLUSIONS Age and engagement are significant predictors of weight. Older adults lost more weight using an mHealth evidence-based lifestyle intervention compared with younger adults, despite their engagement. These preliminary findings suggest further clinical implications for adapting the program to older adults’ needs.

scholarly journals Relationship Between Age and Weight Loss in Noom: Quasi-Experimental Study

JMIR Diabetes ◽  
10.2196/18363 ◽  
2020 ◽  
Vol 5 (2) ◽  
pp. e18363
Author(s):  
Laura DeLuca ◽  
Tatiana Toro-Ramos ◽  
Andreas Michaelides ◽  
Elizabeth Seng ◽  
Charles Swencionis
Keyword(s):  
Older Adults ◽  
Experimental Study ◽  
Weight Loss ◽  
Body Weight ◽  
Behavior Change ◽  
Lifestyle Intervention ◽  
Diabetes Prevention ◽  
Middle Aged ◽  
Obesity And Diabetes ◽  
Quasi Experimental

Background The prevalence of obesity and diabetes among middle-aged and older adults is on the rise, and with an increase in the world population of adults aged 60 years and older, the demand for health interventions across age groups is growing. Noom is an mHealth behavior change lifestyle intervention that provides users with tracking features for food and exercise logging and weighing-in as well as access to a virtual 1:1 behavior change coach, support group, and daily curriculum that includes diet-, exercise-, and psychology-based content. Limited research has observed the effect of age on a mobile health (mHealth) lifestyle intervention. Objective The goal of the research was to analyze engagement of middle-aged and older adults using a mobile lifestyle or diabetes prevention intervention. Methods A total of 14,767 adults (aged 35 to 85 years) received one of two curricula via an mHealth intervention in a quasi-experimental study: the Healthy Weight program (HW) by Noom (84%) or the Noom-developed Diabetes Prevention Program (DPP), recognized by the US Centers for Disease Control and Prevention (CDC). The main outcome measure was weight over time, observed at baseline and weeks 16 and 52. Results Linear mixed modeling found age to be a significant predictor of weight at week 16 (F2,1398.4=9.20; P<.001; baseline vs week 16: β=–.12, 95% CI –0.18 to –0.07), suggesting that as age increases by 1 year, weight decreased by 0.12 kg. An interaction between engagement and age was also found at week 52 (F1,14680.51=6.70; P=.01) such that engagement was more strongly associated with weight for younger versus older adults (age × engagement: β=.02, 95% CI 0.01 to 0.04). HW users lost 6.24 (SD 6.73) kg or 5.2% of their body weight and DPP users lost 5.66 (SD 7.16) kg or 8.1% of their body weight at week 52, meeting the CDC standards for weight loss effects on health. Conclusions Age and engagement are significant predictors of weight. Older adults lost more weight using an mHealth evidence-based lifestyle intervention compared with younger adults, despite their engagement. These preliminary findings suggest further clinical implications for adapting the program to older adults’ needs.

A novel experimental study & design study on systematic designed sea water purifier machine using activated carbon

2020 ◽  
Vol 33 ◽  
pp. 4608-4616
Author(s):  
R. Balaji ◽  
S. Gowtham ◽  
Kelam Meghana ◽  
G. Manojkumar ◽  
S. Akilan
Keyword(s):  
Experimental Study ◽  
Activated Carbon ◽  
Study Design ◽  
Sea Water ◽  
Design Study ◽  
Experimental Study Design

scholarly journals Testing the Effectiveness of Enhanced Alcohol Warning Labels and Modifications Resulting From Alcohol Industry Interference in Yukon, Canada: Protocol for a Quasi-Experimental Study

10.2196/16320 ◽  
2020 ◽  
Vol 9 (1) ◽  
pp. e16320 ◽  
Author(s):  
Kate Vallance ◽  
Timothy Stockwell ◽  
David Hammond ◽  
Simran Shokar ◽  
Nour Schoueri-Mychasiw ◽  
...  
Keyword(s):  
Experimental Study ◽  
Study Design ◽  
Real World ◽  
Local Governments ◽  
Public Awareness ◽  
Population Level ◽  
Warning Labels ◽  
Intervention Site ◽  
Alcohol Industry ◽  
Quasi Experimental

Background Alcohol warning labels are a promising, well-targeted strategy to increase public awareness of alcohol-related health risks and support more informed and safer use. However, evidence of their effectiveness in real-world settings remains limited and inconclusive. Objective This paper presents a protocol for a real-world study examining the population-level impact of enhanced alcohol warning labels with a cancer message; national drinking guidelines; and standard drink information on attention, processing, and alcohol-related behaviors among consumers in Canada. Postimplementation modifications to the original protocol due to interference by national alcohol industry representatives are also described. Methods This quasi-experimental study involved partnering with local governments in two northern Canadian territories already applying alcohol warning labels on alcohol containers for sale in liquor stores. The study tested an 8-month intervention consisting of three new enhanced, rotating alcohol warning labels in an intervention site (Whitehorse, Yukon) relative to a comparison site (Yellowknife, Northwest Territories) where labelling practices would remain unchanged. Pre-post surveys were conducted at both sites to measure changes in awareness and processing of label messages, alcohol-related knowledge, and behaviors. Liquor store transaction data were collected from both sites to assess changes in population-level alcohol consumption. The intervention was successfully implemented for 1 month before it was halted due to complaints from the alcohol industry. The government of the intervention site allowed the study to proceed after a 2-month pause, on the condition that the cancer warning label was removed from rotation. Modifications to the protocol included applying the two remaining enhanced labels for the balance of the intervention and adding a third wave of surveys during the 2-month pause to capture any impact of the cancer label. Results This study protocol describes a real-world quasi-experimental study that aimed to test the effectiveness of new enhanced alcohol warning labels as a tool to support consumers in making more informed and safer alcohol choices. Alcohol industry interference shortly after implementation compromised both the intervention and the original study design; however, the study design was modified to enable completion of three waves of surveys with cohort participants (n=2049) and meet the study aims. Conclusions Findings from this study will directly inform alcohol labelling policies in Canada and internationally and provide further insight into the alcohol industry’s attempts to disrupt research in this area. Additional unimpeded real-world evaluations of enhanced alcohol warning labels are recommended. International Registered Report Identifier (IRRID) RR1-10.2196/16320

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