NCT04326660

Brief Summary

This project examines the feasibility of a smartphone-based intervention to reduce obesity and breast cancer risk among Chinese women in China. The proposed intervention is to use the mobile application and an activity tracker device to promote a healthier lifestyle and physical activity. The intervention will be tailored to the participants' behaviors, personal needs, and preferences. The aim is to reduce abdominal obesity and improve healthy lifestyle behaviors in premenopausal women with children in order to reduce the growing cancer burden in China.

Trial Health

90
On Track

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Enrollment
40

participants targeted

Target at P25-P50 for not_applicable

Timeline
Completed

Started Jul 2020

Geographic Reach
2 countries

2 active sites

Status
completed

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

Click on a node to explore related trials.

Study Timeline

Key milestones and dates

First Submitted

Initial submission to the registry

March 23, 2020

Completed
7 days until next milestone

First Posted

Study publicly available on registry

March 30, 2020

Completed
4 months until next milestone

Study Start

First participant enrolled

July 20, 2020

Completed
1.4 years until next milestone

Primary Completion

Last participant's last visit for primary outcome

December 30, 2021

Completed
Same day until next milestone

Study Completion

Last participant's last visit for all outcomes

December 30, 2021

Completed
Last Updated

December 22, 2022

Status Verified

December 1, 2022

Enrollment Period

1.4 years

First QC Date

March 23, 2020

Last Update Submit

December 21, 2022

Conditions

Keywords

ObesityAbdominalCancer Prevention

Outcome Measures

Primary Outcomes (1)

  • Mean Change in Waist Circumference Over Time

    The National Institutes of Health (NIH) waist circumference measurement protocol will be used to measure change in waist circumference for each participant over time.

    Baseline, 3 months, and 6 months

Secondary Outcomes (8)

  • Mean Change in Body Mass Index (BMI) Over Time

    Baseline, 3 months, and 6 months

  • Mean Change in Scores on the Self-Rated Abilities for Health Practices Scale Over Time

    Baseline, 3 months, and 6 months

  • Mean Changes in China Food Frequency Questionnaire (FFQ) over time.

    Baseline, 3 months, and 6 months

  • Mean Changes in Overall Physical Activity

    Baseline, 3 months, and 6 months

  • Mean Change in Blood Pressure Over Time

    Baseline, 3 months, and 6 months

  • +3 more secondary outcomes

Other Outcomes (3)

  • Percentage of Eligible participants Who Agree To Be Screened

    At Baseline

  • Number of Uses of The Tracking App Over Time

    Baseline to 6 months

  • Percentage of Participants who completed assessments

    Up to 6 months

Study Arms (2)

Control

NO INTERVENTION

Participants in the control group will receive a Fitbit Alta-Heart Rate (HR) and 12 weekly non-tailored educational modules via WeChat on general health topics that are important to 20-45 year-old women in China. Topics include intimate partner violence, anxiety, depression, sexually transmitted infections, HIV, unintended pregnancy, hepatitis B, and general cancer prevention.

SCOPE-Chinese Women Intervention

EXPERIMENTAL

SCOPE-Chinese Women intervention content and methods: SCOPE-Chinese Women is a smartphone- based intervention. Component 1. All study participants will receive a Fitbit Alta-HR tracking device to wear daily. Each participant will receive in-person, training on how to access the app and their tracking data. If a participant has not used the fitness device and app for more than one week, a WeChat reminder message will be sent to the participant. Component 2. Participants will receive 12 weekly culturally appropriate and evidence-based SCOPE-Chinese Women educational modules along with tailored tips and messages via WeChat. Each module will include three educational sessions that last less than 45 minutes total. Component 3. Six bi-weekly messages will be sent to participants via WeChat to encourage positive behavioral changes. Each participant's message content will be based on the participant's tracker information, personal goals, and preferences.

Other: SCOPE-Chinese Women

Interventions

SCOPE-Chinese Women is a smart-phone based intervention that includes a Fitbit tracking device to monitor daily activity, 12-weeks of educational modules delivered by WeChat, and Bi-weekly messages that encourage positive behavioral change. The data will be examined by the research team to assess efficacy of the intervention.

SCOPE-Chinese Women Intervention

Eligibility Criteria

Age18 Years+
Sexfemale
Healthy VolunteersYes
Age GroupsAdult (18-64), Older Adult (65+)

You may qualify if:

  • Participants must:
  • Be female
  • Be at least 18 years old
  • Have a waist circumference great than 80 cm
  • Own a smartphone
  • Be able to read Chinese and speak Mandarin
  • Be premenopausal
  • Have a child between the age of 1 and 18 years old

You may not qualify if:

  • Women are excluded from the study if they:
  • Are pregnant
  • Gave birth less than 12 months prior to enrollment date
  • Have an acute or life-threatening disease (e.g., renal failure).

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (2)

University of California, San Francisco

San Francisco, California, 94143, United States

Location

Central South University

Yuelucun, Changsha, Hunan, 410083, China

Location

Related Publications (15)

  • Fan L, Strasser-Weippl K, Li JJ, St Louis J, Finkelstein DM, Yu KD, Chen WQ, Shao ZM, Goss PE. Breast cancer in China. Lancet Oncol. 2014 Jun;15(7):e279-89. doi: 10.1016/S1470-2045(13)70567-9.

    PMID: 24872111BACKGROUND
  • Jiang X, Tang H, Chen T. Epidemiology of gynecologic cancers in China. J Gynecol Oncol. 2018 Jan;29(1):e7. doi: 10.3802/jgo.2018.29.e7.

    PMID: 29185265BACKGROUND
  • Fair AM, Dai Q, Shu XO, Matthews CE, Yu H, Jin F, Gao YT, Zheng W. Energy balance, insulin resistance biomarkers, and breast cancer risk. Cancer Detect Prev. 2007;31(3):214-9. doi: 10.1016/j.cdp.2007.04.003. Epub 2007 Jul 23.

    PMID: 17646056BACKGROUND
  • Wang X, Li L, Gao J, Liu J, Guo M, Liu L, Wang W, Wang J, Xing Z, Yu Z, Wang X. The Association Between Body Size and Breast Cancer in Han Women in Northern and Eastern China. Oncologist. 2016 Nov;21(11):1362-1368. doi: 10.1634/theoncologist.2016-0147. Epub 2016 Aug 5.

    PMID: 27496041BACKGROUND
  • Cutrona CE, Abraham WT, Russell DW, Beach SR, Gibbons FX, Gerrard M, Monick M, Philibert R. Financial strain, inflammatory factors, and haemoglobin A1c levels in African American women. Br J Health Psychol. 2015 Sep;20(3):662-79. doi: 10.1111/bjhp.12120. Epub 2014 Oct 18.

    PMID: 25327694BACKGROUND
  • Landstedt E, Harryson L, Hammarstrom A. Changing housework, changing health? A longitudinal analysis of how changes in housework are associated with functional somatic symptoms. Int J Circumpolar Health. 2016 Jun 30;75:31781. doi: 10.3402/ijch.v75.31781. eCollection 2016.

    PMID: 27369590BACKGROUND
  • Berge JM, Larson N, Bauer KW, Neumark-Sztainer D. Are parents of young children practicing healthy nutrition and physical activity behaviors? Pediatrics. 2011 May;127(5):881-7. doi: 10.1542/peds.2010-3218. Epub 2011 Apr 11.

    PMID: 21482603BACKGROUND
  • Liu Y, Warren Andersen S, Wen W, Gao YT, Lan Q, Rothman N, Ji BT, Yang G, Xiang YB, Shu XO, Zheng W. Prospective cohort study of general and central obesity, weight change trajectory and risk of major cancers among Chinese women. Int J Cancer. 2016 Oct 1;139(7):1461-70. doi: 10.1002/ijc.30187. Epub 2016 May 31.

    PMID: 27177094BACKGROUND
  • Sun A, Cheng J, Bui Q, Liang Y, Ng T, Chen JL. Home-Based and Technology-Centered Childhood Obesity Prevention for Chinese Mothers With Preschool-Aged Children. J Transcult Nurs. 2017 Nov;28(6):616-624. doi: 10.1177/1043659617719139. Epub 2017 Jul 8.

    PMID: 28826348BACKGROUND
  • Guan X, Sun G, Zheng L, Hu W, Li W, Sun Y. Associations between metabolic risk factors and body mass index, waist circumference, waist-to-height ratio and waist-to-hip ratio in a Chinese rural population. J Diabetes Investig. 2016 Jul;7(4):601-6. doi: 10.1111/jdi.12442. Epub 2015 Dec 26.

    PMID: 27181937BACKGROUND
  • Wen X, Mai J, Gao X, Guo M, Wu Y, Liu X, Zhao L. [Cut-off values of waist circumference for central obesity in Chinese adults]. Zhonghua Xin Xue Guan Bing Za Zhi. 2015 Sep;43(9):822-6. Chinese.

    PMID: 26652826BACKGROUND
  • Nanayakkara J, Lekamwasam S. Validity of BMI, hip and waist circumferences as surrogate measures of obesity in a cohort of Sri Lankan premenopausal women. Ceylon Med J. 2013 Jun;58(2):72-5. doi: 10.4038/cmj.v58i2.4720.

    PMID: 23817937BACKGROUND
  • Singhal N, Mathur P, Pathak R. Validity of simple, novel measures of generalized and central obesity among young Asian Indian women. Indian J Med Sci. 2011 Dec;65(12):518-27.

    PMID: 23548252BACKGROUND
  • Yu R, Yan LL, Wang H, Ke L, Yang Z, Gong E, Guo H, Liu J, Gu Y, Wu Y. Effectiveness of a community-based individualized lifestyle intervention among older adults with diabetes and hypertension, Tianjin, China, 2008-2009. Prev Chronic Dis. 2014 May 15;11:E84. doi: 10.5888/pcd11.120333.

    PMID: 24831288BACKGROUND
  • Zhang R, Li Y, Zhang S, Cai X, Zhou X, Ji L. The Association of Retinopathy and Plasma Glucose and HbA1c: A Validation of Diabetes Diagnostic Criteria in a Chinese Population. J Diabetes Res. 2016;2016:4034129. doi: 10.1155/2016/4034129. Epub 2016 Oct 11.

    PMID: 27807545BACKGROUND

MeSH Terms

Conditions

Breast NeoplasmsObesity, AbdominalObesity

Condition Hierarchy (Ancestors)

Neoplasms by SiteNeoplasmsBreast DiseasesSkin DiseasesSkin and Connective Tissue DiseasesOverweightOvernutritionNutrition DisordersNutritional and Metabolic DiseasesBody WeightSigns and SymptomsPathological Conditions, Signs and Symptoms

Study Officials

  • Jyu-Lin Chen, RN, PhD

    University of California, San Francisco

    PRINCIPAL INVESTIGATOR
  • Jia Guo, RN, PhD

    Central South Univeristy

    PRINCIPAL INVESTIGATOR

Study Design

Study Type
interventional
Phase
not applicable
Allocation
RANDOMIZED
Masking
SINGLE
Who Masked
PARTICIPANT
Masking Details
To decrease cross-contamination of treatment effect, the six study sites will be the units of randomization. A Statistical Package for Social Sciences (SPSS) program will be used to statistically match the groups and to randomly assign each study group.
Purpose
PREVENTION
Intervention Model
PARALLEL
Model Details: This pilot study will utilize a randomized control trail design with a control group.
Sponsor Type
OTHER
Responsible Party
SPONSOR

Study Record Dates

First Submitted

March 23, 2020

First Posted

March 30, 2020

Study Start

July 20, 2020

Primary Completion

December 30, 2021

Study Completion

December 30, 2021

Last Updated

December 22, 2022

Record last verified: 2022-12

Data Sharing

IPD Sharing
Will not share

Locations