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NCT03125993

Effects of Brisk Walking on Overweight/Obesity Population

Status unknown NA Last updated 24 April 2017
What this trial tests

NA trial testing >10000 steps brisk walking in Obesity in 150 participants. Status unknown.

Timeline
25 April 2017
Primary endpoint
25 August 2017
30 August 2017

Quick facts

Lead sponsorGuangdong Center for Disease Prevention and Control
PhaseNA
StatusStatus unknown
Study typeINTERVENTIONAL
Allocationna
Designsingle group
Maskingnone
Primary purposeprevention
Enrollment150
Start date25 April 2017
Primary completion25 August 2017
Estimated completion30 August 2017

Drugs / interventions tested

Conditions studied

Sponsor

Guangdong Center for Disease Prevention and Control

Who can join

Eligibility, any sex, with Obesity. Patients with the condition only — healthy volunteers not accepted.

Sponsor's own description

1.Objective The investigators aim to determine the effect of brisk walking prescription (\> 10000 steps, \> five days, per week) on body components and metabolic risk factors among patients with overweight/obesity. The objectives are as follow: 1. The body components changes before/after the brisk walking prescription (\> 10000 steps, \> five days per week) intervention in overweight/obesity population; 2. The metabolic risk factors changes before/after the brisk walking prescription (\<10000 steps or \<five days per week) intervention in overweight/obesity population 2.Study design This study is a prospective 4-month follow-up scheme in which patients were treated with the following intervention: \> 10000 steps, \> five days, per week. For individual follow-up, body components and metabolic risk factors will be tested before and after the study. Every participants will be followed up in community visits every month. 3\. Statistical analysis Statistical analysis will be performed using SPSS 16.0 version package (SPSS Inc., Chicago, IL.). Numerical data will be presented as mean ± standard deviation for normal distribution or otherwise median (interquartile range). Two-sided independent t-test is adopted for between-group comparison on end-points with normal distribution, otherwise non-parametric test. Row-Column table will be analyzed through chi-square test. P\<0.05 is taken as statistical significant.

Publications & conference data

No peer-reviewed publications indexed yet for this trial.

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