ObesityMoNNET-HANCT03369496
The Montreal Neighbourhood Networks and Healthy Aging Panel
An observational study of Obesity and Depression, run by Queen's University.
Trial summary
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. Read more about this study
- Who is it for?
- Ages 25 years and olderHealthy volunteers can take part
- Conditions the study is for
- Obesity, Depression, Physical Activity
- What is being tested?
- Social capital; Neighborhood environment
- How many people
- 2,707 participants
- Where
- No sites listed yet
- Study dates
- 1 Jul 2007to 1 Jan 2020
- Phase
- Observational
- Are there results?
- None posted in the registry
Key requirements
Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.
- Ages 25 years and older
- All sexes
- Healthy volunteers accepted
- Adult, Older adult
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.
Who may be able to join
- Adults 25 years and older,
- Residents of the Montreal Metropolitan Area, Canada,
- Had to reside at current residence for at least one year
Who cannot join
- Non- French or English-speaking households
- Institutionalized
About this study
Official title: 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.
- Conditions
- Obesity, Depression, Physical Activity, Hypertension, Health Behavior, Subjective Health
- Being tested
- Social capital; Neighborhood environment
- Keywords
- Social Capital, Social Support, Neighborhood, Population Health, Healthy Aging, Adult, Canada
- Medical subject headings
- Obesity, Depression, Motor Activity, Hypertension, Health Behavior
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
Social capital; Neighborhood environmentOther
Observational study examining the relationship among neighborhood environment, social capital and health among Montreal adults
| Study group | Role | What they receive |
|---|---|---|
| MoNNET-HA Panel | Adults 25 years and older residing in the Montreal Metropolitan Area Receives: Other: Social capital; Neighborhood environment |
What is being measured
The primary outcome is the main question the study is designed to answer.
Change in Obesity
Self-reported height and weight converted to BMI with obesity =>30
Measured: Change from wave one obesity at wave two (2010) and wave three (2013)
Change in Depression
Center for Epidemiological Studies Depression 10-item Binary Scale; Depression was =>4
Measured: Change from wave one depression at wave two (2010) and wave three (2013)
Change in Physical inactivity
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.
Measured: Change from wave one physical inactivity at wave two (2010) and wave three (2013)
Change in Hypertension
Self-reported doctor-diagnosed hypertension
Measured: Change from wave one hypertension at wave two (2010) and wave three (2013)
Change in Subjective Health
Self-reported health: 5 response options: Excellent, Very Good, Good, Fair, Poor
Measured: Change from wave one subjective health at wave two (2010) and wave three (2013)
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted12 Dec 2017
- Study start1 Jul 2007
- Primary completion15 Aug 2008
- Study completion1 Jan 2020 (estimated)
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Publications (10)Papers the sponsor has linked to this study.
- Other trials for ObesityStudies of the same condition, open and under way.
- What the trial phases meanHow a treatment moves from first tests in people to approval.
More details
For doctors and researchers: how the study is designed, who runs it, and its registry IDs.
Study design
- Study type
- Observational
- Observational model
- Cohort
- Time perspective
- Prospective
- Enrolment
- 2,707 participants (actual)
Sponsor and investigators
- Lead sponsor
- Queen's University
- Sponsor type
- University, hospital or other
- Responsible party
- Principal investigator, Dr. Spencer Moore, Queen's University
- Investigators
- Spencer Moore, PhD, Principal investigator, Queen's University (at time of study)
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT03369496
- Sponsor's protocol ID
- GPHE-148-13
- Other IDs
- MOP-84584, CHL-126208
- Acronym
- MoNNET-HA
- Status last verified
- Jan 2019
- First submitted
- 1 Dec 2017
- Last updated
- 11 Jan 2019
- Results posted
- No
- Data monitoring committee
- No
- FDA-regulated drug
- No
- FDA-regulated device
- No
- Individual data sharing
- Undecided: Discussions currently taking place.
Publications
Moore S, Bockenholt U, Daniel M, Frohlich K, Kestens Y, Richard L. Social capital and core network ties: a validation study of individual-level social capital measures and their association with extra- and intra-neighborhood ties, and self-rated health. Health Place. 2011 Mar;17(2):536-44. doi: 10.1016/j.healthplace.2010.12.010. Epub 2010 Dec 16.
PubMed 21208822Leroux JS, Moore S, Richard L, Gauvin L. Physical inactivity mediates the association between the perceived exercising behavior of social network members and obesity: a cross-sectional study. PLoS One. 2012;7(10):e46558. doi: 10.1371/journal.pone.0046558. Epub 2012 Oct 2.
PubMed 23056343Legh-Jones H, Moore S. Network social capital, social participation, and physical inactivity in an urban adult population. Soc Sci Med. 2012 May;74(9):1362-7. doi: 10.1016/j.socscimed.2012.01.005. Epub 2012 Feb 22.
PubMed 22410270Bassett E, Moore S. Gender differences in the social pathways linking neighborhood disadvantage to depressive symptoms in adults. PLoS One. 2013 Oct 17;8(10):e76554. doi: 10.1371/journal.pone.0076554. eCollection 2013.
PubMed 24146888Bassett E, Moore S. Social capital and depressive symptoms: the association of psychosocial and network dimensions of social capital with depressive symptoms in Montreal, Canada. Soc Sci Med. 2013 Jun;86:96-102. doi: 10.1016/j.socscimed.2013.03.005. Epub 2013 Mar 19.
PubMed 23608098Moore S, Stewart S, Teixeira A. Decomposing social capital inequalities in health. J Epidemiol Community Health. 2014 Mar;68(3):233-8. doi: 10.1136/jech-2013-202996. Epub 2013 Nov 20.
PubMed 24258198Bassett E, Moore S. Neighbourhood disadvantage, network capital and restless sleep: is the association moderated by gender in urban-dwelling adults? Soc Sci Med. 2014 May;108:185-93. doi: 10.1016/j.socscimed.2014.02.029. Epub 2014 Feb 19.
PubMed 24650740Moore S, Teixeira A, Stewart S. Effect of network social capital on the chances of smoking relapse: a two-year follow-up study of urban-dwelling adults. Am J Public Health. 2014 Dec;104(12):e72-6. doi: 10.2105/AJPH.2014.302239. Epub 2014 Oct 16.
PubMed 25320891Moore S, Buckeridge DL, Dube L. Cohort Profile: The Montreal Neighbourhood Networks and Healthy Aging (MoNNET-HA) study. Int J Epidemiol. 2016 Feb;45(1):45-53. doi: 10.1093/ije/dyu137. Epub 2014 Jul 1.
PubMed 24984955Child S, Stewart S, Moore S. Perceived control moderates the relationship between social capital and binge drinking: longitudinal findings from the Montreal Neighborhood Networks and Health Aging (MoNNET-HA) panel. Ann Epidemiol. 2017 Feb;27(2):128-134. doi: 10.1016/j.annepidem.2016.11.010. Epub 2016 Dec 9.
PubMed 28027881
Study at a glance
From the registry record, last updated by the sponsor on 11 Jan 2019. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- The Montreal Neighbourhood Networks and Healthy Aging Panel (MoNNET-HA)
- ClinicalTrials.gov ID
- NCT03369496
- Acronym / sponsor ID
- MoNNET-HA / GPHE-148-13
- Conditions
- Obesity, Depression, Physical Activity, Hypertension, Health Behavior, Subjective Health
- Keywords
- Social Capital, Social Support, Neighborhood, Population Health, Healthy Aging, Adult, Canada
- Study type
- Observational
- Recruitment status
- Unknown status
- Enrolment
- 2,707 participants (actual)
- Lead sponsor
- Queen's UniversityUniversity, hospital or other
- Study start
- 1 Jul 2007 (actual)
- Primary completion
- 15 Aug 2008 (actual)
- Study completion
- 1 Jan 2020 (estimated)
- First posted
- 12 Dec 2017 (actual)
- Results
- Not posted in the source record
Clinical summary
The research question as the sponsor registered it. This describes what the study plans to test, not what it found.
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 design
- Observational model
- Cohort
- Time perspective
- Prospective
- Number of arms
- 1
| Arm | Type | Receives |
|---|---|---|
| MoNNET-HA Panel | – | Other: Social capital; Neighborhood environmentAdults 25 years and older residing in the Montreal Metropolitan Area |
Who may qualify
- Ages
- 25 years and older
- Sex
- All
- Healthy volunteers
- Accepted
- Age groups
- Adult, Older adult
- 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.
Key inclusion criteria (3 listed)
- Adults 25 years and older,
- Residents of the Montreal Metropolitan Area, Canada,
- Had to reside at current residence for at least one year
Key exclusion criteria (2 listed)
- Non- French or English-speaking households
- Institutionalized
Eligibility is decided by the study team after screening; this overview does not establish that a patient qualifies. Full inclusion and exclusion criteria.
Interventions
| Intervention | Type | Arms |
|---|---|---|
| Social capital; Neighborhood environmentObservational study examining the relationship among neighborhood environment, social capital and health among Montreal adults | Other | MoNNET-HA Panel |
Primary outcome
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 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 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 in Hypertension
Time frame: Change from wave one hypertension at wave two (2010) and wave three (2013)
Self-reported doctor-diagnosed hypertension
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
Results and safety
Results are not available in the source record.
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 11 Jan 2019.
- Results publication: PubMed 21208822Moore S, Bockenholt U, Daniel M, Frohlich K, Kestens Y, Richard L. Social capital and core network ties: a validation study of individual-level social capital measures and their association with extra- and intra-neighborhood ties, and self-rated health. Health Place. 2011 Mar;17(2):536-44. doi: 10.1016/j.healthplace.2010.12.010. Epub 2010 Dec 16.
- Results publication: PubMed 23056343Leroux JS, Moore S, Richard L, Gauvin L. Physical inactivity mediates the association between the perceived exercising behavior of social network members and obesity: a cross-sectional study. PLoS One. 2012;7(10):e46558. doi: 10.1371/journal.pone.0046558. Epub 2012 Oct 2.
- Results publication: PubMed 22410270Legh-Jones H, Moore S. Network social capital, social participation, and physical inactivity in an urban adult population. Soc Sci Med. 2012 May;74(9):1362-7. doi: 10.1016/j.socscimed.2012.01.005. Epub 2012 Feb 22.
- Results publication: PubMed 24146888Bassett E, Moore S. Gender differences in the social pathways linking neighborhood disadvantage to depressive symptoms in adults. PLoS One. 2013 Oct 17;8(10):e76554. doi: 10.1371/journal.pone.0076554. eCollection 2013.
- Results publication: PubMed 23608098Bassett E, Moore S. Social capital and depressive symptoms: the association of psychosocial and network dimensions of social capital with depressive symptoms in Montreal, Canada. Soc Sci Med. 2013 Jun;86:96-102. doi: 10.1016/j.socscimed.2013.03.005. Epub 2013 Mar 19.
- Results publication: PubMed 24258198Moore S, Stewart S, Teixeira A. Decomposing social capital inequalities in health. J Epidemiol Community Health. 2014 Mar;68(3):233-8. doi: 10.1136/jech-2013-202996. Epub 2013 Nov 20.
- Results publication: PubMed 24650740Bassett E, Moore S. Neighbourhood disadvantage, network capital and restless sleep: is the association moderated by gender in urban-dwelling adults? Soc Sci Med. 2014 May;108:185-93. doi: 10.1016/j.socscimed.2014.02.029. Epub 2014 Feb 19.
- Results publication: PubMed 25320891Moore S, Teixeira A, Stewart S. Effect of network social capital on the chances of smoking relapse: a two-year follow-up study of urban-dwelling adults. Am J Public Health. 2014 Dec;104(12):e72-6. doi: 10.2105/AJPH.2014.302239. Epub 2014 Oct 16.
- Results publication: PubMed 24984955Moore S, Buckeridge DL, Dube L. Cohort Profile: The Montreal Neighbourhood Networks and Healthy Aging (MoNNET-HA) study. Int J Epidemiol. 2016 Feb;45(1):45-53. doi: 10.1093/ije/dyu137. Epub 2014 Jul 1.
- Results publication: PubMed 28027881Child S, Stewart S, Moore S. Perceived control moderates the relationship between social capital and binge drinking: longitudinal findings from the Montreal Neighborhood Networks and Health Aging (MoNNET-HA) panel. Ann Epidemiol. 2017 Feb;27(2):128-134. doi: 10.1016/j.annepidem.2016.11.010. Epub 2016 Dec 9.
- Open Access Article: Do age, psychosocial, and health characteristics alter the weak and strong tie composition of network diversity and core network size in urban adults?Link provided by the sponsor.
- Individual participant dataSharing planned: Undecided. Discussions currently taking place.
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Referral and contact
AzTrials does not enrol participants or take referrals. Contact the study team or a site listed below; they decide who can take part. This study is not recruiting at the moment.
Spencer Moore, PhD principal investigator
Queen's University (at time of study)
Questions about this trial
What is this clinical trial studying?
An observational study of Obesity and Depression, run by Queen's University.
The full registered description is in the About this study section and the official record.
Who may be eligible to take part?
The sponsor lists 3 inclusion and 2 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.
Is this clinical trial currently recruiting?
The record says: status not confirmed, as of the sponsor's last update on 11 Jan 2019. Status can change between updates, so confirm with the study contact before making plans.
What are the possible benefits and risks?
They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.
Are results available for this study?
Results are not available in the source record.
How can a doctor refer a patient or contact the research team?
The record lists no contact. The official record names the sponsor, who can be asked directly. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
Change in Obesity (time frame: Change from wave one obesity at wave two (2010) and wave three (2013)). The study lists 5 primary outcomes in all. It is what the study was designed to measure, not a finding.
Where can I read the original study information?
On the ClinicalTrials.gov record for NCT03369496, which also lists 10 linked publications.
Does a listing mean the treatment is approved or proven to work?
No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.
How often is this information updated?
AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 11 Jan 2019.