The Montreal Neighbourhood Networks and Healthy Aging Panel (MoNNET-HA)

January 10, 2019 updated by: Dr. Spencer Moore, Queen's University

The Montreal Neighbourhood Networks and Healthy Aging Panel (MoNNET-HA)

Social networks, social capital, i.e., network-accessed resources, and neighbourhood environments have been shown associated with a range of health behaviours and conditions, including obesity, physical activity, nutrition, and mental health. Research on social capital and health in Montreal has shown the importance of network social capital for a person's subjective health status, sense of control, self-reported physical activity, and obesity. Research has also shown high social capital to reduce health service use, mental health service use, and improve the management of chronic illnesses. Despite advances in the understanding of social capital and its link to health and health service use, most research on social capital is cross sectional and is unable to identify the causal pathways linking social networks and capital to health and health care use. Longitudinal research would strengthen the evidence base for designing interventions to prevent or delay the use of health services, particularly in older adults.

This research has three main objectives: (1) transform the original sample of Montreal Neighbourhood Networks and Healthy Aging (MoNNET-HA) households (n=2707) into a panel study, (2) link the MoNNET-HA participant data to their Quebec Health Insurance Registry (Régie de l'assurance maladie (RAMQ)) information, and (3) assess the feasibility of extending the MoNNET-HA panel by one wave to include participant's core network members. Unique about the original MoNNET-HA sample is that it purposefully oversampled older adults (> 64 years old) but remains representative of Montreal adults at various ages and income levels. In addition, MoNNET-HA data is integrated into a GIS database which allows researchers to examine the effects of neighbourhood environmental characteristics on health. By linking MoNNET-HA data to RAMQ, researchers will be able to examine patterns of diagnosed health conditions, (e.g., fractures, depression), pharmaceutical use and adherence, and formal health care use over time. Transforming the cross-sectional study into a panel study would also allow researchers to examine longitudinally the dynamics of health and health care utilization among Panel participants over the life course, and the causal pathways linking neighbourhoods and networks to health and health care use.

Study Overview

Status

Unknown

Conditions

Intervention / Treatment

Study Type

Observational

Enrollment (Actual)

2707

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

25 years and older (Adult, Older Adult)

Accepts Healthy Volunteers

Yes

Genders Eligible for Study

All

Sampling Method

Probability Sample

Study Population

Population-based sample of adults randomly selected using a 2-stage stratified cluster sampling strategy.

  1. In the first stage, 862 Montreal Metropolitan Area census tracts were stratified using the census-tract median income into tertile of high, medium and low income census tract areas. From each tertile, 100 census tracts were selected at random from each census-tract group for a total of 300 tracts.
  2. Within each selected census tract, three respondents were selected at random using from the 25-44 years age category, three respondents from the 45-64 years age category, and three respondents from the age group 65 years and older. This resulted in a total of 9 respondents per census tract and a total of 2707 respondents the MoNNET Panel.

Description

Inclusion Criteria:

  • Adults 25 years and older,
  • Residents of the Montreal Metropolitan Area, Canada,
  • Had to reside at current residence for at least one year

Exclusion Criteria:

  • Non- French or English-speaking households
  • Institutionalized

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

Cohorts and Interventions

Group / Cohort
Intervention / Treatment
MoNNET-HA Panel
Adults 25 years and older residing in the Montreal Metropolitan Area
Other: Social capital; Neighborhood environment
Observational study examining the relationship among neighborhood environment, social capital and health among Montreal adults

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Change in Obesity
Time Frame: Change from wave one obesity at wave two (2010) and wave three (2013)
Self-reported height and weight converted to BMI with obesity =>30
Change from wave one obesity at wave two (2010) and wave three (2013)
Change in Depression
Time Frame: Change from wave one depression at wave two (2010) and wave three (2013)
Center for Epidemiological Studies Depression 10-item Binary Scale; Depression was =>4
Change from wave one depression at wave two (2010) and wave three (2013)
Change in Physical inactivity
Time Frame: Change from wave one physical inactivity at wave two (2010) and wave three (2013)
International Physical Activity Questionnaire (IPAQ) was used to measure a person's metabolic equivalent of task (MET) over a one-week period; Physical inactivity was defined as having a MET of less than 600.
Change from wave one physical inactivity at wave two (2010) and wave three (2013)
Change in Hypertension
Time Frame: Change from wave one hypertension at wave two (2010) and wave three (2013)
Self-reported doctor-diagnosed hypertension
Change from wave one hypertension at wave two (2010) and wave three (2013)
Change in Subjective Health
Time Frame: Change from wave one subjective health at wave two (2010) and wave three (2013)
Self-reported health: 5 response options: Excellent, Very Good, Good, Fair, Poor
Change from wave one subjective health at wave two (2010) and wave three (2013)

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Sponsor

Queen's University

Investigators

  • Principal Investigator: Spencer Moore, PhD, Queen's University (at time of study)

Publications and helpful links

The person responsible for entering information about the study voluntarily provides these publications. These may be about anything related to the study.

General Publications

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

July 1, 2007

Primary Completion (Actual)

August 15, 2008

Study Completion (Anticipated)

January 1, 2020

Study Registration Dates

First Submitted

December 1, 2017

First Submitted That Met QC Criteria

December 6, 2017

First Posted (Actual)

December 12, 2017

Study Record Updates

Last Update Posted (Actual)

January 11, 2019

Last Update Submitted That Met QC Criteria

January 10, 2019

Last Verified

January 1, 2019

More Information

Terms related to this study

Keywords

Additional Relevant MeSH Terms

Other Study ID Numbers

  • GPHE-148-13
  • MOP-84584 (Other Grant/Funding Number: Canadian Institutes of Health Research)
  • CHL-126208 (Other Grant/Funding Number: Canadian Institutes of Health Research)

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

UNDECIDED

IPD Plan Description

Discussions currently taking place.

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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