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The Montreal Neighbourhood Networks and Healthy Aging Panel

Conditions
Hypertension
Health Behavior
Obesity
Depression
Subjective Health
Physical Activity
Interventions
Other: Social capital; Neighborhood environment
Registration Number
NCT03369496
Lead Sponsor
Queen's University
Brief 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. 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.

Detailed Description

Not available

Recruitment & Eligibility

Status
UNKNOWN
Sex
All
Target Recruitment
2707
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 & Design

Study Type
OBSERVATIONAL
Study Design
Not specified
Arm && Interventions
GroupInterventionDescription
MoNNET-HA PanelSocial capital; Neighborhood environmentAdults 25 years and older residing in the Montreal Metropolitan Area
Primary Outcome Measures
NameTimeMethod
Change in ObesityChange 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 DepressionChange 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 inactivityChange 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 HypertensionChange from wave one hypertension at wave two (2010) and wave three (2013)

Self-reported doctor-diagnosed hypertension

Change in Subjective HealthChange 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

Secondary Outcome Measures
NameTimeMethod
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