Analyzivng Demand for Customized Obesity Prevention and Management Across Adult Age Groups Using Focus Group Interview

Overview

Journal Inquiry

Specialties Health Services
Public Health

Date 2024 Aug 26

PMID 39183602

Authors

Jinah Park

Shinaeh Park

Mi So Kim

Affiliations

Soon will be listed here.

Abstract

With the increasing obesity rates, many studies on obesity prevention and management have been implemented. However, few studies focused on obesity in adulthood and different perceptions of obesity between life cycles. Thus, this study aimed to investigate the demand for customized obesity prevention and management (OPM) strategies across adult age groups. Focus group interviews were conducted to gather insights from three age groups: young adults (20-34 years), middle-aged adults (35-49 years), and seniors (50-64 years). A total of 17 participants took part in the study, with 5 participants in Group 1, 6 participants in Group 2, and 6 participants in Group 3. Thematic analysis and the use of NetMiner version 4.4.3 facilitated data categorization and scrutiny. The study employed qualitative methods to explore perceptions of obesity and preferences for personalized OPM strategies among participants. Diverse perspectives on obesity as a health threat were found among the age groups. While all stressed the importance of personalized OPM, preferences for strategies varied. Diet and exercise combination emerged as a common preference. This study highlighted the need for customized OPM approaches aligned with age-specific preferences.

References

Anderson L, Yoshida-Montezuma Y, Dewart N, Jalil E, Khattar J, De Rubeis V . Obesity and weight change during the COVID-19 pandemic in children and adults: A systematic review and meta-analysis. Obes Rev. 2023; 24(5):e13550. DOI: 10.1111/obr.13550. View

Panza E, Lillis J, Olson K, Berg J, Tashima K, Wing R . HIV Status, Obesity, and Risk for Weight Stigma: Comparing Weight Stigma Experiences and Internalization Among Adults with Obesity with and Without HIV. AIDS Behav. 2021; 26(3):686-697. PMC: 8840952. DOI: 10.1007/s10461-021-03428-0. View

OBrien K, Latner J, Ebneter D, Hunter J . Obesity discrimination: the role of physical appearance, personal ideology, and anti-fat prejudice. Int J Obes (Lond). 2012; 37(3):455-60. DOI: 10.1038/ijo.2012.52. View

Finucane M, Stevens G, Cowan M, Danaei G, Lin J, Paciorek C . National, regional, and global trends in body-mass index since 1980: systematic analysis of health examination surveys and epidemiological studies with 960 country-years and 9·1 million participants. Lancet. 2011; 377(9765):557-67. PMC: 4472365. DOI: 10.1016/S0140-6736(10)62037-5. View

Nour T, Altintas K . Effect of the COVID-19 pandemic on obesity and it is risk factors: a systematic review. BMC Public Health. 2023; 23(1):1018. PMC: 10227822. DOI: 10.1186/s12889-023-15833-2. View

Friedman K, Reichmann S, Costanzo P, Zelli A, Ashmore J, Musante G . Weight stigmatization and ideological beliefs: relation to psychological functioning in obese adults. Obes Res. 2005; 13(5):907-16. DOI: 10.1038/oby.2005.105. View

Cakmak S, Tanriover O . Is obesity and body perception disturbance related to social media addiction among university students?. J Am Coll Health. 2022; 72(1):302-309. DOI: 10.1080/07448481.2022.2034832. View

Jura M, Kozak L . Obesity and related consequences to ageing. Age (Dordr). 2016; 38(1):23. PMC: 5005878. DOI: 10.1007/s11357-016-9884-3. View

Ortega F, Lavie C, Blair S . Obesity and Cardiovascular Disease. Circ Res. 2016; 118(11):1752-70. DOI: 10.1161/CIRCRESAHA.115.306883. View

10.

Wang M, Li C, Liu C, Lin C, Yang S, Li T . Effect of blood lipid variability on mortality in patients with type 2 diabetes: a large single-center cohort study. Cardiovasc Diabetol. 2021; 20(1):228. PMC: 8620132. DOI: 10.1186/s12933-021-01421-4. View

11.

Kirk S, Penney T . The Role of Health Systems in Obesity Management and Prevention: Problems and Paradigm Shifts. Curr Obes Rep. 2013; 2:315-319. PMC: 3824563. DOI: 10.1007/s13679-013-0074-7. View

12.

Shay L, Seibert D, Watts D, Sbrocco T, Pagliara C . Adherence and weight loss outcomes associated with food-exercise diary preference in a military weight management program. Eat Behav. 2009; 10(4):220-7. PMC: 3936599. DOI: 10.1016/j.eatbeh.2009.07.004. View

13.

Puhl R, Latner J, OBrien K, Luedicke J, Danielsdottir S, Forhan M . A multinational examination of weight bias: predictors of anti-fat attitudes across four countries. Int J Obes (Lond). 2015; 39(7):1166-73. DOI: 10.1038/ijo.2015.32. View

14.

Haywood C, Sumithran P . Treatment of obesity in older persons-A systematic review. Obes Rev. 2019; 20(4):588-598. DOI: 10.1111/obr.12815. View

15.

Vogel D, Bitman R, Hammer J, Wade N . Is stigma internalized? The longitudinal impact of public stigma on self-stigma. J Couns Psychol. 2013; 60(2):311-316. DOI: 10.1037/a0031889. View

16.

Truong K, Park S, Tsiros M, Milne N . Physiotherapy and related management for childhood obesity: A systematic scoping review. PLoS One. 2021; 16(6):e0252572. PMC: 8202913. DOI: 10.1371/journal.pone.0252572. View

17.

Smith J, Fu E, Kobayashi M . Prevention and Management of Childhood Obesity and Its Psychological and Health Comorbidities. Annu Rev Clin Psychol. 2020; 16:351-378. PMC: 7259820. DOI: 10.1146/annurev-clinpsy-100219-060201. View

18.

Johnson D, Gerstein D, Evans A, Woodward-Lopez G . Preventing obesity: a life cycle perspective. J Am Diet Assoc. 2006; 106(1):97-102. DOI: 10.1016/j.jada.2005.09.048. View

19.

Olateju I, Opaleye-Enakhimion T, Udeogu J, Asuquo J, Olaleye K, Osa E . A systematic review on the effectiveness of diet and exercise in the management of obesity. Diabetes Metab Syndr. 2023; 17(4):102759. DOI: 10.1016/j.dsx.2023.102759. View

20.

Tong A, Sainsbury P, Craig J . Consolidated criteria for reporting qualitative research (COREQ): a 32-item checklist for interviews and focus groups. Int J Qual Health Care. 2007; 19(6):349-57. DOI: 10.1093/intqhc/mzm042. View