1
|
Salmela J, Joki A, Koivumäki T, Katainen A, Lallukka T. Weight management practices, views, and experiences of adults living with poor socioeconomic circumstances and obesity: a qualitative systematic review protocol. JBI Evid Synth 2024; 22:940-946. [PMID: 38247722 PMCID: PMC11081485 DOI: 10.11124/jbies-23-00238] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/23/2024]
Abstract
OBJECTIVE The objective of this review is to synthesize the best available qualitative evidence on the weight management practices, views, and experiences of adults living with poor socioeconomic circumstances and obesity. Additionally, the review aims to deepen our understanding of the common narratives of obesity according to these people. INTRODUCTION People living with poor socioeconomic circumstances are at increased risk of obesity, particularly in high-income countries, and their weight management practices (eg, weight-related behaviors) tend to be less healthy. Since prior research on socioeconomic inequalities in obesity is mostly from quantitative studies, the individual views and experiences related to weight management have been largely ignored. Thus, systematic qualitative evidence is needed on the weight management practices, views, and experiences of adults living with poor socioeconomic circumstances and obesity. INCLUSION CRITERIA Qualitative studies examining adults (aged 18 to 74 years) living with poor socioeconomic circumstances and obesity, and conducted in high- and upper-middle-income countries will be considered. The phenomenon of interest is these people's weight management practices, views, and experiences. METHODS Searches will be conducted in MEDLINE (Ovid), APA PsycINFO (Ovid), CINAHL (EBSCOhost), Scopus, Web of Science, and the Finnish health sciences database, MEDIC, restricted to the English and Finnish languages. Sources of unpublished studies and gray literature will include Google Scholar and ProQuest Dissertations and Theses. Two independent reviewers will screen the papers, assess methodological quality, and extract data following JBI's procedures. The meta-aggregative approach will be used for data synthesis. Confidence in the findings will be assessed using the ConQual approach. REVIEW REGISTRATION PROSPERO CRD42023407938.
Collapse
Affiliation(s)
- Jatta Salmela
- Department of Public Health, Faculty of Medicine, University of Helsinki, Helsinki, Finland
| | - Anu Joki
- Department of Public Health, Faculty of Medicine, University of Helsinki, Helsinki, Finland
| | - Terhi Koivumäki
- Faculty of Social Sciences, Tampere University, Tampere, Finland
| | - Anu Katainen
- Faculty of Social Sciences, University of Helsinki, Helsinki, Finland
| | - Tea Lallukka
- Department of Public Health, Faculty of Medicine, University of Helsinki, Helsinki, Finland
| |
Collapse
|
2
|
Tran MH, van Zwieten A, Kiely KM, Blyth FM, Naganathan V, Le Couteur DG, Handelsman DJ, Seibel MJ, Waite LM, Cumming RG, Khalatbari-Soltani S. Intra-generational social mobility and mortality among older men in the Concord Health and Ageing in Men Project: A cohort study. SSM Popul Health 2024; 25:101581. [PMID: 38264197 PMCID: PMC10803938 DOI: 10.1016/j.ssmph.2023.101581] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2023] [Revised: 10/16/2023] [Accepted: 12/06/2023] [Indexed: 01/25/2024] Open
Abstract
Objectives We examined associations between intra-generational social mobility (reflected in life-course socioeconomic trajectories) and mortality, among older men. Methods Data came from a prospective Australian community-based cohort of older men. Social mobility was defined by socioeconomic indicators from three points in the life-course: educational attainment (late adolescence-early adulthood), occupation (mid-life), and current sources of income (older age). We defined indicators of social mobility trajectory (6 categories; reflecting the direction of social mobility) and social mobility status (2 categories; mobile or non-mobile). We used Cox regression to examine associations with mortality, adjusting for age, country of birth, and living arrangement. Results We followed 1568 men (mean age 76.8, SD 5.4) for a mean duration of 9.1 years, with 797 deaths recorded. Moving upward was the predominant social mobility trajectory (36.0%), followed by mixed trajectories (25.1%), downward (15.1%), stable low (12.2%), stable high (7.6%), and stable middle (4.0%). Men with downward (Hazard ratio 1.58, 95% CI 1.13 to 2.19) and stable low socioeconomic trajectories (1.77, 1.25 to 2.50) had higher mortality risks than men with stable high socioeconomic trajectories, while men with upward trajectories had similar risks to those with stable high trajectories. 76.2% of the participants were classified as having mobile status; no associations were evident between binary social mobility status and mortality. Discussions These findings suggest cumulative and persistent exposure to disadvantaged socioeconomic conditions across the life-course, rather than social mobility, is associated with increased mortality. For each stage of the life-course, addressing socioeconomic disadvantage may reduce inequities in mortality.
Collapse
Affiliation(s)
- Minh-Hoang Tran
- School of Public Health, Faculty of Medicine and Health, University of Sydney, Sydney, NSW, Australia
- NTT Hi-Tech Institute, Nguyen Tat Thanh University, HCMC, Viet Nam
| | - Anita van Zwieten
- School of Public Health, Faculty of Medicine and Health, University of Sydney, Sydney, NSW, Australia
- Centre for Kidney Research, Children's Hospital at Westmead, Westmead, NSW, Australia
| | - Kim M. Kiely
- Ageing Futures Institute, University of New South Wales (UNSW), Sydney, (NSW), Australia
- ARC Centre of Excellence in Population Ageing Research (CEPAR), University of Sydney, Sydney, NSW, Australia
- School of Health and Society and School of Mathematics and Applied Statistics, University of Wollongong, Wollongong, (NSW), Australia
| | - Fiona M. Blyth
- School of Public Health, Faculty of Medicine and Health, University of Sydney, Sydney, NSW, Australia
- ARC Centre of Excellence in Population Ageing Research (CEPAR), University of Sydney, Sydney, NSW, Australia
| | - Vasi Naganathan
- Concord Clinical School, Faculty of Medicine and Health, University of Sydney, NSW, Australia
- Centre for Education and Research on Ageing, Faculty of Medicine and Health, University of Sydney, New South Wales, Australia
- Ageing and Alzheimer's Institute, Concord Repatriation and General Hospital, Sydney Local Health District, Concord, New South Wales, Australia
| | - David G. Le Couteur
- Concord Clinical School, Faculty of Medicine and Health, University of Sydney, NSW, Australia
| | - David J. Handelsman
- ANZAC Research Institute, University of Sydney and Concord Hospital, Sydney, Australia
| | - Markus J. Seibel
- ANZAC Research Institute, University of Sydney and Concord Hospital, Sydney, Australia
| | - Louise M. Waite
- Concord Clinical School, Faculty of Medicine and Health, University of Sydney, NSW, Australia
- Centre for Education and Research on Ageing, Faculty of Medicine and Health, University of Sydney, New South Wales, Australia
- Ageing and Alzheimer's Institute, Concord Repatriation and General Hospital, Sydney Local Health District, Concord, New South Wales, Australia
| | - Robert G. Cumming
- School of Public Health, Faculty of Medicine and Health, University of Sydney, Sydney, NSW, Australia
| | - Saman Khalatbari-Soltani
- School of Public Health, Faculty of Medicine and Health, University of Sydney, Sydney, NSW, Australia
- ARC Centre of Excellence in Population Ageing Research (CEPAR), University of Sydney, Sydney, NSW, Australia
| |
Collapse
|
3
|
Baspakova A, Abitova AZ, Mussin NM, Kaliyev AA, Yerimbetova G, Zhumagaliyeva S, Ashimova Z, Zhilisbayeva KR, Umbetova AA, Nurtazina AU, Tamadon A. Sex differentials in the prevalence of behavioral risk factors and non-communicable diseases in adult populations of West Kazakhstan. Front Public Health 2024; 12:1333887. [PMID: 38420037 PMCID: PMC10899439 DOI: 10.3389/fpubh.2024.1333887] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2023] [Accepted: 01/24/2024] [Indexed: 03/02/2024] Open
Abstract
Introduction The prevalence of non-communicable diseases (NCDs) is increasing worldwide. Several modifiable risk factors, such as smoking, alcohol drinking, physical inactivity, and obesity, have been linked to the development of NCDs in both genders. Understanding the prevalence of these risk factors and their associated factors is crucial for effective intervention planning in adult populations. This study aimed to provide an overview of the prevalence and associated factors of these risk behaviors among different genders of adults in West Kazakhstan. Methods A cross-sectional study was conducted in four regions of West Kazakhstan. A stratified multistage sampling technique was utilized to obtain a representative sample size of 4,800 participants aged 18 -69 years. Trained researchers administered face-to-face interviews using validated questionnaires to gather information pertaining to sociodemographic characteristics, smoking habits, alcohol drinking, dietary patterns, physical activity levels, body mass index (BMI), and prevalent diseases. Results This study, which included 4,800 participants from West Kazakhstan, revealed some striking numerical findings. The overall prevalence rates of behavioral risk factors and metabolic conditions were as follows: smoking was 13.6% (95%CI: 3.2-24.0%), alcohol drinking was 47.0% (27.7-66.3%), current obesity was 22.3% (9.0-35.6%), and physical inactivity was 80.7% (55.4-106.0%). In addition, the overall prevalence rates of metabolic conditions were 25.6% (11.3-39.9%) for hypertension, 7.5% (0.2-15.2%) for diabetes, 11.8% (2.1-21.5%) for high cholesterol, and 13.0% (2.8-23.2%) for cardiovascular diseases. Additionally, a higher prevalence of high cholesterol was observed in men, and a greater prevalence of heart disease was identified in women. Multinomial logistic regression revealed that physical inactivity was associated with hypertension, diabetes, and heart disease, while obesity was linked to hypertension, high cholesterol, and heart disease. Discussion This study in West Kazakhstan identified variations in the prevalence of behavioral risk factors and NCDs, highlighting gender, age, and regional disparities. Notably, men showed higher rates of smoking and alcohol drinking, while women exhibited a greater prevalence of physical inactivity and obesity. Gender and regional differences were evident, with the West Kazakhstan region standing out for distinct patterns. Tailored interventions are crucial to address these disparities and enhance public health in the region.
Collapse
Affiliation(s)
- Akmaral Baspakova
- Department for Scientific Work, West Kazakhstan Marat Ospanov Medical University, Aktobe, Kazakhstan
| | - Anara Zh. Abitova
- Department for Scientific Work, West Kazakhstan Marat Ospanov Medical University, Aktobe, Kazakhstan
| | - Nadiar M. Mussin
- General Surgery, West Kazakhstan Marat Ospanov Medical University, Aktobe, Kazakhstan
| | - Asset A. Kaliyev
- General Surgery, West Kazakhstan Marat Ospanov Medical University, Aktobe, Kazakhstan
| | - Gulmira Yerimbetova
- Department for Scientific Work, West Kazakhstan Marat Ospanov Medical University, Aktobe, Kazakhstan
| | - Saltanat Zhumagaliyeva
- Department for Scientific Work, West Kazakhstan Marat Ospanov Medical University, Aktobe, Kazakhstan
| | - Zhanat Ashimova
- Department for Scientific Work, West Kazakhstan Marat Ospanov Medical University, Aktobe, Kazakhstan
| | - Kulyash R. Zhilisbayeva
- Department for Scientific Work, West Kazakhstan Marat Ospanov Medical University, Aktobe, Kazakhstan
| | - Aigerim A. Umbetova
- Department for Scientific Work, West Kazakhstan Marat Ospanov Medical University, Aktobe, Kazakhstan
| | - Alma U. Nurtazina
- Department of Epidemiology and Biostatistics, Semey Medical University, Semey, Kazakhstan
| | - Amin Tamadon
- Department Natural Sciences, West Kazakhstan Marat Ospanov Medical University, Aktobe, Kazakhstan
| |
Collapse
|
4
|
Krefman AE, Ghamsari F, Turner DR, Lu A, Borsje M, Wood CW, Petito LC, Polubriaginof FCG, Schneider D, Ahmad F, Allen NB. Using electronic health record data to link families: an illustrative example using intergenerational patterns of obesity. J Am Med Inform Assoc 2023; 30:915-922. [PMID: 36857086 PMCID: PMC10114127 DOI: 10.1093/jamia/ocad028] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2022] [Revised: 02/03/2023] [Accepted: 02/16/2023] [Indexed: 03/02/2023] Open
Abstract
OBJECTIVE Electronic health record (EHR) data are a valuable resource for population health research but lack critical information such as relationships between individuals. Emergency contacts in EHRs can be used to link family members, creating a population that is more representative of a community than traditional family cohorts. MATERIALS AND METHODS We revised a published algorithm: relationship inference from the electronic health record (RIFTEHR). Our version, Pythonic RIFTEHR (P-RIFTEHR), identifies a patient's emergency contacts, matches them to existing patients (when available) using network graphs, checks for conflicts, and infers new relationships. P-RIFTEHR was run on December 15, 2021 in the Northwestern Medicine Electronic Data Warehouse (NMEDW) on approximately 2.95 million individuals and was validated using the existing link between children born at NM hospitals and their mothers. As proof-of-concept, we modeled the association between parent and child obesity using logistic regression. RESULTS The P-RIFTEHR algorithm matched 1 157 454 individuals in 448 278 families. The median family size was 2, the largest was 32 persons, and 247 families spanned 4 generations or more. Validation of the mother-child pairs resulted in 95.1% sensitivity. Children were 2 times more likely to be obese if a parent is obese (OR: 2.30; 95% CI, 2.23-2.37). CONCLUSION P-RIFTEHR can identify familiar relationships in a large, diverse population in an integrated health system. Estimates of parent-child inheritability of obesity using family structures identified by the algorithm were consistent with previously published estimates from traditional cohort studies.
Collapse
Affiliation(s)
- Amy E Krefman
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | - Farhad Ghamsari
- Department of Internal Medicine, Tulane University School of Medicine, New Orleans, Louisiana, USA
| | - Daniel R Turner
- IT Research Computing Services, Northwestern University, Evanston, Illinois, USA
| | - Alice Lu
- Northwestern Medicine Enterprise Data Warehouse, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | - Martin Borsje
- Northwestern Medicine Enterprise Data Warehouse, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | - Colby Witherup Wood
- IT Research Computing Services, Northwestern University, Evanston, Illinois, USA
| | - Lucia C Petito
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | | | - Daniel Schneider
- Northwestern Medicine Enterprise Data Warehouse, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | - Faraz Ahmad
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
- Division of Cardiology, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | - Norrina B Allen
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| |
Collapse
|
5
|
Salmela J, Kouvonen A, Mauramo E, Rahkonen O, Roos E, Lallukka T. Associations of childhood and adult socioeconomic circumstances with recommended food habits among young and midlife Finnish employees. BMC Nutr 2022; 8:65. [PMID: 35836295 PMCID: PMC9281257 DOI: 10.1186/s40795-022-00557-0] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2022] [Accepted: 07/06/2022] [Indexed: 11/22/2022] Open
Abstract
Background Disadvantaged socioeconomic circumstances are associated with certain unhealthy food habits such as inadequate consumption of fruit and vegetables. This study examined whether multiple socioeconomic measures are consistently associated with a variety of food habits. Methods We examined associations of 2 childhood and 6 adult socioeconomic measures with 8 recommended food habits among 19–39-year-old employees of the City of Helsinki, Finland. The data were collected in 2017 via online and mailed surveys. Our sample consisted of 4621 employees (80% women). The analyses included adjusted binary logistic regression models. Results More advantaged socioeconomic circumstances were positively associated with the recommended consumption of vegetables, fruit or berries, dark bread, skimmed milk products, fish, and cooking oil, but not consistently with red or processed meat and fat spread. All socioeconomic measures were positively associated with having several (6–8) recommended food habits after gender and age adjustments. The strongest associations were found for participant’s education, occupational class, and current financial difficulties. These associations remained after adjustments of childhood and adult socioeconomic measures, although especially participant’s education attenuated the associations for occupational class. Conclusions The consistent associations between multiple childhood and adult socioeconomic measures and food habits found among employees highlight the need for improving food habits among people with disadvantaged socioeconomic circumstances in particular. Financial barriers together with social aspects of adhering to healthy diets should be considered in future dietary interventions and policy actions. Supplementary Information The online version contains supplementary material available at 10.1186/s40795-022-00557-0.
Collapse
Affiliation(s)
- Jatta Salmela
- Department of Public Health, University of Helsinki, PO Box 20 (Tukholmankatu 8 B), 00014, Helsinki, Finland.
| | - Anne Kouvonen
- Faculty of Social Sciences, University of Helsinki, Helsinki, Finland.,Centre for Public Health, Queen's University Belfast, Belfast, UK
| | - Elina Mauramo
- Department of Public Health, University of Helsinki, PO Box 20 (Tukholmankatu 8 B), 00014, Helsinki, Finland
| | - Ossi Rahkonen
- Department of Public Health, University of Helsinki, PO Box 20 (Tukholmankatu 8 B), 00014, Helsinki, Finland
| | - Eva Roos
- Department of Food Studies, Nutrition and Dietetics, Uppsala University, Uppsala, Sweden.,Folkhälsan Research Center, Helsinki, Finland
| | - Tea Lallukka
- Department of Public Health, University of Helsinki, PO Box 20 (Tukholmankatu 8 B), 00014, Helsinki, Finland
| |
Collapse
|