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Stalgaitis CA, Jordan JW, Djakaria M, Saggese DJ, Bruce HR. Psychographic segmentation to identify higher-risk teen peer crowds for health communications: Validation of Virginia's Mindset Lens Survey. Front Public Health 2022; 10:871864. [PMID: 35937230 PMCID: PMC9355138 DOI: 10.3389/fpubh.2022.871864] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2022] [Accepted: 06/27/2022] [Indexed: 12/02/2022] Open
Abstract
Audience segmentation is necessary in health communications to ensure equitable resource distribution. Peer crowds, which are macro-level teen subcultures, are effective psychographic segments for health communications because each crowd has unique mindsets, values, norms, and health behavior profiles. These mindsets affect behaviors, and can be used to develop targeted health communication campaigns to reach those in greatest need. Though peer crowd research is plentiful, no existing peer crowd measurement tool has been formally validated. As such, we developed and validated Virginia's Mindset Lens Survey (V-MLS), a mindset-based teen peer crowd segmentation survey to support health communication efforts. Using an online convenience sample of teens (N = 1,113), we assessed convergent and discriminant validity by comparing the V-MLS against an existing, widely-used peer crowd survey (I-Base Survey®) utilizing a multi-trait multi-method matrix. We also examined the V-MLS's predictive ability through a series of regressions using peer crowd scores to predict behaviors, experiences, and traits relevant to health communication campaign planning. The V-MLS demonstrated reliability and convergent and discriminant validity. Additionally, the V-MLS effectively distinguished teen peer crowds with unique health behaviors, experiences, and personal traits. When combined with appropriate information processing and campaign development frameworks, this new tool can complement existing instruments to inform message framing, tone, and style for campaigns that target at-risk teens to increase campaign equity and reach.
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Saleme P, Pang B. Segmenting children’s active school travel behaviour: insights on caregivers’ perceived risks and social norms. HEALTH EDUCATION 2021. [DOI: 10.1108/he-09-2021-0120] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
Purpose
Active school travel (AST) programmes aim to change commuting behaviour to improve children's physical and mental health. However, very limited health education programmes for children use segmentation to create tailored solutions that understand the specific characteristics of each group of children and their caregivers in order to yield better results. The aim of this study is to use a statistical segmentation analysis (two-step cluster analysis) to gain insights on the examination of specific groups to design future health education interventions and campaigns that can improve children's health.
Design/methodology/approach
Guided by the Ecological and Cognitive Active Commuting (ECAC) framework, a market segmentation analysis was performed. An online survey was designed to collect data from caregivers of children between 5 and 12 years attending school and responsible for taking the child to and/or from school in Victoria and Queensland, Australia. Using 3,082 responses collected from Australian caregivers of primary school children, a two-step cluster analysis was performed.
Findings
Analysis revealed the most important variables for group formation were previous child walking behaviour, distance from school and caregiver income. Perceived risk of the physical environment was the most important psychographic segmentation variable for group formation, followed by social norms. Four distinct groups with different characteristics were identified from the analysis.
Originality/value
This is the first study that applies the ECAC framework to perform market segmentation in the AST context. Results revealed four market segments that demand different tailored solutions. Findings shed light on how to better design AST interventions and campaigns to promote children's health using segmentation techniques.
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Langton JM, Wong ST, Burge F, Choi A, Ghaseminejad-Tafreshi N, Johnston S, Katz A, Lavergne R, Mooney D, Peterson S, McGrail K. Population segments as a tool for health care performance reporting: an exploratory study in the Canadian province of British Columbia. BMC FAMILY PRACTICE 2020; 21:98. [PMID: 32475339 PMCID: PMC7262753 DOI: 10.1186/s12875-020-01141-w] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/23/2019] [Accepted: 04/14/2020] [Indexed: 11/26/2022]
Abstract
BACKGROUND Primary care serves all age groups and individuals with health states ranging from those with no chronic conditions to those who are medically complex, or frail and approaching the end of life. For information to be actionable and guide planning, there must be some population disaggregation based on differences in expected needs for care. Promising approaches to segmentation in primary care reflect both the breadth and severity of health states, the types and amounts of health care utilization that are expected, and the roles of the primary care provider. The purpose of this study was to assess population segmentation as a tool to create distinct patient groups for use in primary care performance reporting. METHODS This cross-sectional study used administrative data (patient characteristics, physician and hospital billings, prescription medicines data, emergency department visits) to classify the population of British Columbia (BC), Canada into one of four population segments: low need, multiple morbidities, medically complex, and frail. Each segment was further classified using socioeconomic status (SES) as a proxy for patient vulnerability. Regression analyses were used to examine predictors of health care use, costs and selected measures of primary care attributes (access, continuity, coordination) by segment. RESULTS Average annual health care costs increased from the low need ($ 1460) to frail segment ($10,798). Differences in primary care cost by segment only emerged when attributes of primary care were included in regression models: accessing primary care outside business hours and discontinuous primary care (≥5 different GP's in a given year) were associated with higher health care costs across all segments and higher continuity of care was associated with lower costs in the frail segment (cost ratio = 0.61). Additionally, low SES was associated with higher costs across all segments, but the difference was largest in the medically complex group (cost ratio = 1.11). CONCLUSIONS Population segments based on expected need for care can support primary care measurement and reporting by identifying nuances which may be lost when all patients are grouped together. Our findings demonstrate that variables such as SES and use of regression analyses can further enhance the usefulness of segments for performance measurement and reporting.
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Affiliation(s)
- Julia M Langton
- Centre for Health Services and Policy Research, The University of British Columbia (UBC), 201-2206 East Mall, Vancouver, BC, V6T 1Z3, Canada
| | - Sabrina T Wong
- Centre for Health Services and Policy Research, The University of British Columbia (UBC), 201-2206 East Mall, Vancouver, BC, V6T 1Z3, Canada
- School of Nursing, UBC, Vancouver, Canada
| | - Fred Burge
- Department of Family Medicine, Dalhousie University, Halifax, NS, Canada
| | - Alexandra Choi
- Centre for Health Services and Policy Research, The University of British Columbia (UBC), 201-2206 East Mall, Vancouver, BC, V6T 1Z3, Canada
| | - Niloufar Ghaseminejad-Tafreshi
- Centre for Health Services and Policy Research, The University of British Columbia (UBC), 201-2206 East Mall, Vancouver, BC, V6T 1Z3, Canada
| | - Sharon Johnston
- Department of Family Medicine, University of Ottawa, Ottawa, ON, Canada
| | - Alan Katz
- Department of Family Medicine and Community Health Sciences, University of Manitoba, Winnipeg, MB, Canada
| | - Ruth Lavergne
- Faculty of Health Science, Simon Fraser University, Burnaby, BC, Canada
| | - Dawn Mooney
- Centre for Health Services and Policy Research, The University of British Columbia (UBC), 201-2206 East Mall, Vancouver, BC, V6T 1Z3, Canada
| | - Sandra Peterson
- Centre for Health Services and Policy Research, The University of British Columbia (UBC), 201-2206 East Mall, Vancouver, BC, V6T 1Z3, Canada
| | - Kimberlyn McGrail
- Centre for Health Services and Policy Research, The University of British Columbia (UBC), 201-2206 East Mall, Vancouver, BC, V6T 1Z3, Canada.
- School of Population and Public Health, UBC, Vancouver, BC, Canada.
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Sadler RC, Sanders-Jackson AN, Introne J, Adams R. A method for assessing links between objectively measured food store scores and store & neighborhood favorability. Int J Health Geogr 2019; 18:31. [PMID: 31881888 PMCID: PMC6935152 DOI: 10.1186/s12942-019-0195-7] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2019] [Accepted: 12/20/2019] [Indexed: 11/10/2022] Open
Abstract
Worldwide, interest in research on methods to define access to healthy food at the local level has grown, given its central connection to carrying out a healthy lifestyle. Within this research domain, papers have examined the spatial element of food access, or individual perceptions about the food environment. To date, however, no studies have provided a method for linking a validated, objective measure of the food environment with qualitative data on how people access healthy food in their community. In this study, we present a methodology for linking scores from a modified Nutrition Environment Measures Survey in Stores (conducted at every store in our study site of Flint, Michigan) with perceptions of the acceptability of food stores and shopping locations drawn from seven focus groups (n = 53). Spatial analysis revealed distinct patterns in visiting and avoidance of certain store types. Chain stores tended to be rated more highly, while stores in neighborhoods with more African-American or poor residents were rated less favorably and avoided more frequently. Notably, many people avoided shopping in their own neighborhoods; participants traveled an average of 3.38 miles to shop for groceries, and 60% bypassed their nearest grocery store when shopping. The utility of our work is threefold. First, we provide a methodology for linking perceived and objective definitions of food access among a small sample that could be replicated in cities across the globe. Second, we show links between perceptions of food access and objectively measured food store scores to uncover inequalities in access in our sample to illustrate potential connections. Third, we advocate for the use of such data in informing the development of a platforms that aim to make the process of accessing healthy food easier via non-food retail based interventions. Future work can replicate our methods to both uncover patterns in distinct food environments and aid in advocacy around how to best intervene in the food environment in various locales.
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Affiliation(s)
- Richard C Sadler
- Division of Public Health, Michigan State University, 200 E 1st St Room 337, Flint, MI, 48502, USA.
| | | | - Josh Introne
- Department of Media and Information, Michigan State University, East Lansing, USA
| | - Robyn Adams
- Department of Advertising + Public Relations, Michigan State University, East Lansing, USA
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Lombard C, Brennan L, Reid M, Klassen KM, Palermo C, Walker T, Lim MSC, Dean M, Mccaffrey TA, Truby H. Communicating health-Optimising young adults' engagement with health messages using social media: Study protocol. Nutr Diet 2018; 75:509-519. [PMID: 30009396 DOI: 10.1111/1747-0080.12448] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2018] [Revised: 05/01/2018] [Accepted: 05/24/2018] [Indexed: 11/30/2022]
Abstract
BACKGROUND Obesity is a global health problem. Understanding how to utilise social media (SM) as a platform for intervention and engagement with young adults (YAs) will help the practitioners to harness this media more effectively for obesity prevention. AIM Communicating health (CH) aims to understand the use of SM by YAs, including Aboriginal YAs, and in doing so will improve the effectiveness of SM strategies to motivate, engage and retain YAs in interventions to reduce the risk of obesity, and identify and disseminate effective ways for health professionals to deliver obesity prevention interventions via SM. METHODS The present study describes the theoretical framework and methodologies for the CH study, which is organised into four interrelated phases, each building on the outcomes of preceding phases. Phase 1 is a mixed methods approach to understand how YAs use SM to navigate their health issues, including healthy eating. Phase 2 utilises co-creation workshops where YAs and public health practitioners collaboratively generate healthy eating messages and communication strategies. Phase 3 evaluates these messages in a real-world setting. Phase 4 is the translation phase where public health practitioners use outcomes from CH to inform future strategies and to develop tools for SM for use by stakeholders and the research community. DISCUSSION The outcomes will include a rich understanding of psychosocial drivers and behaviours associated with healthy eating and will provide insight into the use of SM to reach and influence the health and eating behaviours of YAs.
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Affiliation(s)
- Catherine Lombard
- Department of Nutrition, Dietetics and Food, Monash University, Melbourne, Victoria, Australia
| | - Linda Brennan
- School of Media and Communication, RMIT University, Melbourne, Victoria, Australia
| | - Michael Reid
- School of Economics, Finance and Marketing, RMIT University, Melbourne, Victoria, Australia
| | - Karen M Klassen
- Department of Nutrition, Dietetics and Food, Monash University, Melbourne, Victoria, Australia
| | - Claire Palermo
- Department of Nutrition, Dietetics and Food, Monash University, Melbourne, Victoria, Australia
| | - Troy Walker
- Department of Nutrition, Dietetics and Food, Monash University, Melbourne, Victoria, Australia
| | | | - Moira Dean
- School of Biological Sciences, Institute for Global Food Security, Queen's University Belfast, Belfast, UK.,School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia.,School of Population and Global Health, University of Melbourne, Melbourne, Victoria, Australia
| | - Tracy A Mccaffrey
- Department of Nutrition, Dietetics and Food, Monash University, Melbourne, Victoria, Australia
| | - Helen Truby
- Department of Nutrition, Dietetics and Food, Monash University, Melbourne, Victoria, Australia
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6
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Mahmood H, Lowe S. Population segmentation: an approach to reducing childhood obesity inequalities. Perspect Public Health 2017; 137:190-195. [PMID: 28084160 DOI: 10.1177/1757913916687000] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
Abstract
AIMS The aims of this study are threefold: (1) to investigate the relationship between socio-economic status (inequality) and childhood obesity prevalence within Birmingham local authority, (2) to identify any change in childhood obesity prevalence between deprivation quintiles and (3) to analyse individualised Birmingham National Child Measurement Programme (NCMP) data using a population segmentation tool to better inform obesity prevention strategies. METHODS Data from the NCMP for Birmingham (2010/2011 and 2014/2015) were analysed using the deprivation scores from the Income Domain Affecting Children Index (IDACI 2010). The percentage of children with excess weight was calculated for each local deprivation quintile. Population segmentation was carried out using the Experian's Mosaic Public Sector 6 (MPS6) segmentation tool. RESULTS Childhood obesity levels have remained static at the national and Birmingham level. For Year 6 pupils, obesity levels have increased in the most deprived deprivation quintiles for boys and girls. The most affluent quintile shows a decreasing trend of obesity prevalence for boys and girls in both year groups. For the middle quintiles, the results show fluctuating trends. CONCLUSION This research highlighted the link in Birmingham between obesity and socio-economic factors with the gap increasing between deprivation quintiles. Obesity is a complex problem that cannot simply be addressed through targeting most deprived populations, rather through a range of effective interventions tailored for the various population segments that reside within communities. Using population segmentation enables a more nuanced understanding of the potential barriers and levers within populations on their readiness for change. The segmentation of childhood obesity data will allow utilisation of social marketing methodology that will facilitate identification of suitable methods for interventions and motivate individuals to sustain behavioural change. Sequentially, it will also inform policy makers to commission the most appropriate interventions.
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Affiliation(s)
- Hashum Mahmood
- Service Manager - Public Health Intelligence, Public Health, Birmingham City Council, Birmingham, UK.,Honorary Lecturer Public Health Staffordshire University
| | - Susan Lowe
- Service Manager - Public Health Intelligence, Public Health, Birmingham City Council, Birmingham, UK
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Hill B, McPhie S, Moran LJ, Harrison P, Huang TTK, Teede H, Skouteris H. Lifestyle intervention to prevent obesity during pregnancy: Implications and recommendations for research and implementation. Midwifery 2016; 49:13-18. [PMID: 27756642 DOI: 10.1016/j.midw.2016.09.017] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2016] [Revised: 09/12/2016] [Accepted: 09/26/2016] [Indexed: 10/20/2022]
Abstract
Maternal obesity and excessive gestational weight gain (GWG) are significant contributors to the global obesity epidemic. However, isolated lifestyle interventions to address this in pregnancy appear to have only modest benefit and responses can be variable. This paper aims to address the question of why the success of lifestyle interventions to prevent excessive GWG is suboptimal and variable. We suggest that there are inherent barriers to lifestyle change within pregnancy as a life stage, including the short window available for habit formation; the choice for women not to prioritise their weight; competing demands including physiological, financial, relationship, and social situations; and lack of self-efficacy among healthcare professionals on this topic. In order to address this problem, we propose that just like all successful public health approaches seeking to change behaviour, individual lifestyle interventions must be provided in the context of a supportive environment that enables, incentivises and rewards healthy changes. Future research should focus on a systems approach that integrates the needs of individuals with the context within which they exist. Borrowing from the social marketing principle of 'audience segmentation', we also need to truly understand the needs of individuals to design appropriately tailored interventions. This approach should also be applied to the preconception period for comprehensive prevention approaches. Additionally, relevant policy needs to reflect the changing evidence-based climate. Interventions in the clinical setting need to be integrally linked to multipronged obesity prevention efforts in the community, so that healthy weight goals are reinforced throughout the system.
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Affiliation(s)
- Briony Hill
- Deakin University, GEELONG, Australia, School of Psychology, Locked Bag 20000, Geelong, VIC 3220, Australia.
| | - Skye McPhie
- Deakin University, GEELONG, Australia, School of Psychology, Locked Bag 20000, Geelong, VIC 3220, Australia.
| | - Lisa J Moran
- Monash Centre for Health Research and Implementation, Locked bag 29, Clayton 3168, Australia.
| | - Paul Harrison
- Deakin University, GEELONG, Australia, Deakin Business School, Locked Bag 20000, Geelong, VIC 3220, Australia.
| | - Terry T-K Huang
- Graduate School of Public Health and Health Policy, City University of New York, 55W. 125th Street, New York, NY 10027, United States.
| | - Helena Teede
- Monash Centre for Health Research and Implementation, Locked bag 29, Clayton 3168, Australia.
| | - Helen Skouteris
- Deakin University, GEELONG, Australia, School of Psychology, Locked Bag 20000, Geelong, VIC 3220, Australia.
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8
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Hardcastle SJ, Hagger MS. Psychographic Profiling for Effective Health Behavior Change Interventions. Front Psychol 2016; 6:1988. [PMID: 26779094 PMCID: PMC4701903 DOI: 10.3389/fpsyg.2015.01988] [Citation(s) in RCA: 28] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2015] [Accepted: 12/12/2015] [Indexed: 11/23/2022] Open
Affiliation(s)
- Sarah J Hardcastle
- Health Psychology and Behavioural Medicine Research Group, Faculty of Health Sciences, School of Psychology and Speech Pathology, Curtin University Perth, WA, Australia
| | - Martin S Hagger
- Health Psychology and Behavioural Medicine Research Group, Faculty of Health Sciences, School of Psychology and Speech Pathology, Curtin University Perth, WA, Australia
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Lafontan M, Visscher TL, Farpour-Lambert N, Yumuk V. Opportunities for intervention strategies for weight management: global actions on fluid intake patterns. Obes Facts 2015; 8:54-76. [PMID: 25765164 PMCID: PMC5644897 DOI: 10.1159/000375103] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/06/2014] [Accepted: 11/20/2014] [Indexed: 12/12/2022] Open
Abstract
Water is an essential nutrient for all physiological functions and particularly important for thermoregulation. About 60% of our body weight is made of water. Under standard conditions (18-20 °C and moderate activity), water balance is regulated within 0.2 % of body weight over a 24-hour period. Water requirement varies between individuals and according to environmental conditions. Concerning considerations related to obesity, the health impact of fluid intake is commonly overlooked. Fluid intake advices are missing in most of food pyramids offered to the public, and water requirements and hydration challenges remain often neglected. The purpose of this paper is to emphasize and discuss the role of water consumption in the context of other important public health measures for weight management. Attention will be focused on fluid intake patterns and hydration-related questions in the context of global interventions and/or physical activity programs settled in weight management protocols.
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Affiliation(s)
- Max Lafontan
- Inserm/University Paul Sabatier UMR 1048, Institute of Metabolic and Cardiovascular Diseases, Hôpital Rangueil, Toulouse cedex, France
- *Dr. Max Lafontan, D. Sc., Inserm/UPS UMR 1048, Institut des Maladies Métaboliques et Cardiovasculaires, Hôpital Rangueil, 1, Avenue Jean Poulhès — BP 84225, 31432 Toulouse cedex 4, France,
| | - Tommy L.S. Visscher
- Research Centre for the Prevention of Overweight, Windesheim University of Applied Sciences and VU University, Zwolle, the Netherlands
| | - Nathalie Farpour-Lambert
- Service of Therapeutic Education for Chronic Diseases, Department of Community Health, Primary Care and Emergency, University Hospital of Geneva and University of Geneva, Geneva, Switzerland
| | - Volkan Yumuk
- Division of Endocrinology, Metabolism and Diabetes, Istanbul University Cerrahpasa Medical Faculty, Istanbul, Turkey
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