Personal factors influencing the motivation to engage in healthy life behavior: a qualitative study among Indonesian obese adult women

Authors

DOI:

https://doi.org/10.18203/2394-6040.ijcmph20223522

Keywords:

Adult women, Healthy life behavior, Obesity, Personal factors, Social cognitive theory

Abstract

Background: As a part of social cognitive theory (SCT), personal factors can be potential mediators of behavior change. Knowing what motivates adult obese women to carry out healthy life behavior can help program planners develop intervention strategies to overcome obesity. This study examined the personal factors influencing obese women's motivation to adopt healthy life behaviors.

Methods: This descriptive-qualitative study was conducted from July to October 2021 in the city of Bogor, Indonesia. Participants were selected by purposive sampling from eight noncommunicable diseases (NCDs) posts (NCDs Posbindu). The data were collected using semi-structured, open-ended questions using a video conference platform. All the recorded interviews were transcribed verbatim. Thematic analysis with deductive coding (theory-driven) was used to analyse the data.

Results: A total of 26 obese women aged 19-40 were interviewed within eight discussion groups. Three theory-driven codes were chosen, and four themes were created from nine clustered codes of the transcripts: “health education and promotion,” “the positive and negative impacts of eating healthy food and exercising regularly on the body and finances,” “facilitators in eating healthy food and exercising regularly,” and “barriers to eating healthy food, exercising and weight monitoring regularly”. Lack of knowledge about weight management guidance, time and resources constraint, and low self-efficacy reduce motivation to continue an activity or target behavior.

Conclusions: Obese adult women need more weight-management knowledge, skills, and assistance using the concerned potential mediators. These findings could help program planners design effective health intervention strategies to achieve desired behavior change.

 

Author Biographies

Anggun Rusyantia, Department of Community Nutrition, FEMA, IPB University, Babakan, Dramaga, Bogor, Indonesia Department of Health Education and Behavioral Sciences, Faculty of Public Health, Universitas Indonesia, Depok, Indonesia

Department of Community Nutrition, FEMA, IPB University;

Department of Nutrition, Tanjungkarang Health Polytechnic Ministry of Health Republic of Indonesia

Ali Khomsan, Department of Community Nutrition, FEMA, IPB University, Babakan, Dramaga, Bogor, Indonesia

Department of Community Nutrition, FEMA, IPB University

Clara Meliyanti Kusharto, Department of Community Nutrition, FEMA, IPB University, Babakan, Dramaga, Bogor, Indonesia

Department of Community Nutrition, FEMA, IPB University

Hadi Pratomo, Department of Health Education and Behavioral Sciences, Faculty of Public Health, Universitas Indonesia, Depok, Indonesia

Department of Health Education and Behavioral Sciences, Faculty of Public Health, Universitas Indonesia

References

WHO. Obesity and Overweight. 2021. Available from: https://www.who.int/news-room/fact-sheets/detail/obesity-and-overweight. Accessed on 1 December 2021.

Hruby A, Manson JAE, Qi L, Malik VS, Rimm EB, Sun Q, et al. Determinants and consequences of obesity. Am J Public Health. 2016;106(9):1656-62.

Elvsaas IKØ, Giske L, Fure B, Juvet LK. Multicomponent lifestyle interventions for treating overweight and obesity in children and adolescents: a systematic review and meta-analyses. J Obes. 2017;2017:1-14.

Chan RSM, Woo J. Prevention of overweight and obesity: How effective is the current public health approach. Int J Environ Res Public Health. 2010;7(3):765-83.

Camussi E, Sassi C, Zulato E, Annovazzi C, Ginevra MC. Hacking women’s health: A new methodology. J Prev Interv Community. 2019;12:174-88.

McKenzie JF, Neiger BL, Thacekry R. Planning, implementing, and evaluating health promotion programs. 6th edn. United States of America: Pearson Education, Inc.; 2013.

Contento IR. Nutrition education: linking research, theory, and practice. 2nd edn. Canada: Jones and Bartlett Publishers; 2011.

Bagherniya M, Sharma M, Mostafavi Darani F, Maracy MR, Safarian M, Allipour Birgani R, et al. School-based nutrition education intervention using social cognitive theory for overweight and obese Iranian adolescent girls: a cluster randomized controlled trial. Int J Community Health Educ. 2018;0(0):1-9.

Rusyantia A, Khomsan A, Kusharto CM, Pratomo H. The integrated nutrition education on ehealth intervention and its effectiveness on improvement of anthropometric status and behavioural outcomes of obese adults: a systematic review. Amerta Nutr. 2022;6(2):212-26.

Young MD, Plotnikoff RC, Collins CE, Callister R, Morgan PJ. Social cognitive theory and physical activity: a systematic review and meta-analysis. Obes Rev. 2014;15(12).

Joseph RP, Ainsworth BE, Mathis L, Hooker SP, Keller C. Utility of social cognitive theory in intervention design for promoting physical activity among African-American women: a qualitative study. Am J Health Behav. 2017;41(5):518-33.

Bandura A. A social cognitive theory of personality. In: Pervin IL, John O, eds. Handbook of personality. 2nd edn. New York: Guilford Publications; 1999: 154-196.

Tolley EE, Ulin PR, Mack N, Rpbinson ET, Succop SM. Qualitative methods in public health: a field guide for applied research. 2nd edn. United States of America: Jossey-Bass and Pfeiffer Imprints, Wiley; 2016.

Indonesian Ministry of Health. GENTAS Implementation Guide. Jakarta; 2017.

Hennink MM, Kaiser BN, Weber MB. What influences saturation? Estimating sample sizes in focus group research. Qual Health Res. 2019;29(10):1483-96.

Hurst S, Arulogun OS, Owolabi AO, Akinyemi R, Uvere E, Warth S, et al. Pretesting qualitative data collection procedures to facilitate methodological adherence and team building in Nigeria. Int J Qual Methods. 2015;14:53-64.

Fereday J, Muir-Cochrane E. Demonstrating rigor using thematic analysis: a hybrid approach of inductive and deductive coding and theme development. Int J Qual Methods. 2006;5(1):80-92.

Rincón Uribe FA, Godinho RC de S, Machado MAS, Oliveira KR da SG, Neira Espejo CA, de Sousa NCV, et al. Health knowledge, health behaviors and attitudes during pandemic emergencies: A systematic review. PLoS One. 2021;16(9):1-14.

Obirikorang Y, Obirikorang C, Anto EO, Acheampong E, Dzah N, Akosah CN, et al. Knowledge and lifestyle-associated prevalence of obesity among newly diagnosed type II diabetes mellitus patients attending diabetic clinic at Komfo Anokye Teaching Hospital, Kumasi, Ghana: a Hospital-Based Cross-Sectional Study. J Diabetes Res. 2016;2016:1-10.

Nai HME, Lubijarsih MA. The differences in knowledge of balanced nutrition between obese and non-obese women in rural area. J Kesehat. 2021;10(1):33-43.

Khawandanah J, Tewfik I. Fad diets: lifestyle promises and health challenges. J Food Res. 2016;5(6):80.

Vidianinggar M, Mahmudiono T, Atmaka D. Fad diets, body image, nutritional status, and nutritional adequacy of female models in Malang city. J Nutr Metab. 2021;2021:1-5.

Anderson ES, Winett RA, Wojcik JR, Winett SG, Bowden T. A computerized social cognitive intervention for nutrition behavior: direct and mediated effects on fat, fiber, fruits, and vegetables, self-efficacy, and outcome expectations among food shoppers. Ann Behav Med. 2001;23(2):88-100.

Klusmann V, Musculus L, Sproesser G, Renner B. Fulfilled emotional outcome expectancies enable successful adoption and maintenance of physical activity. Front Psychol. 2016;6(1990):1-10.

Pierre G, Dzinamarira T. A scoping review on barriers to implementation of health education programs in low to middle income countries. Int J Community Med Public Health. 2019;6(8):3651-9.

Bandura A. Health promotion by social cognitive means. Heal Educ Behav. 2004;31(2):143-64.

Sekścińska K, Trzcińska A, Maison DA. The influence of different social roles activation on women’s financial and consumer choices. Front Psychol. 2016;7(365):1-13.

Olander EK, Fletcher H, Williams S, Atkinson L, Turner A, French DP. What are the most effective techniques in changing obese individuals’ physical activity self-efficacy and behaviour: a systematic review and meta-analysis. Int J Behav Nutr Phys Act. 2013;10(29):1-15.

Lowe MR, Butryn ML. Hedonic hunger: a new dimension of appetite? Physiol Behav. 2007;91(4):432-9.

Rabiei S, Sedaghat F, Rastmanesh R. Is the hedonic hunger score associated with obesity in women? A brief communication. BMC Res Notes. 2019;12(1):10-3.

Porter L, Cox JS, Wright KA, Lawrence NS, Gillison FB. The impact of COVID-19 on the eating habits of families engaged in a healthy eating pilot trial: a thematic analysis. Heal Psychol Behav Med. 2022;10(1):241-61.

Irandoost SF, Taghdisi MH, Dehdari T, Bayangani B, Azadi NA. Obesity consequences from the people’s perspective living in Kurdish regions of Iran: a qualitative content analysis. Seyed J Educ Health Promot. 2019;8(159):1-10.

Meadows A, Bombak AE. Yes, we can ( no, you can ’t): weight stigma, exercise self-efficacy, and active fat identity development. Fat Stud. 2018;1-19.

Michie S, Ashford S, Sniehotta FF, Dombrowski SU, Bishop A, French DP. A refined taxonomy of behaviour change techniques to help people change their physical activity and healthy eating behaviours: The CALO-RE taxonomy. Psychol Health. 2011;26(11):1479-98.

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Published

2022-12-29

How to Cite

Rusyantia, A., Khomsan, A., Kusharto, C. M., & Pratomo, H. (2022). Personal factors influencing the motivation to engage in healthy life behavior: a qualitative study among Indonesian obese adult women. International Journal Of Community Medicine And Public Health, 10(1), 29–37. https://doi.org/10.18203/2394-6040.ijcmph20223522

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Original Research Articles