Factors Associated with Diet Quality among Adolescents in a Post-Disaster Area: A Cross-Sectional Study in Indonesia

The diet quality of adolescents in low-middle-income countries is low. Especially in post-disaster areas, adolescents are not a priority target for handling nutritional cases compared with other vulnerable groups. The aim of this study was to examine the factors associated with diet quality among adolescents in post-disaster areas in Indonesia. A cross-sectional study was performed with 375 adolescents aged 15–17 years, representing adolescents living close to the areas most affected by a significant disaster in 2018. The variables obtained include adolescent and household characteristics, nutritional literacy, healthy eating behavior constructs, food intake, nutritional status, physical activity, food security, and diet quality. The diet quality score was low, with only 23% of the total maximum score. Vegetables, fruits, and dairy scored the lowest, whereas animal protein sources scored the highest. Higher eating habits of animal protein sources; being healthy; normal nutritional status of adolescents; higher vegetable and sweet beverage norms of mothers; and lower eating habits of sweet snacks; animal protein sources; and carbohydrate norms of mothers are associated with higher diet quality scores in adolescents (p < 0.05). Improving the quality of adolescent diets in post-disaster areas needs to target adolescent eating behavior and changes in mothers’ eating behavior.

[1]  S. Kaur,et al.  Food security and diet quality among urban poor adolescents in Kuala Lumpur, Malaysia , 2022, Nutrition research and practice.

[2]  K. Bookari,et al.  Household Food Insecurity, Anemia, Malnutrition and Unfavorable Dietary Diversity among Adolescents: Quadruple Whammies in the Era of Escalating Crises in Lebanon , 2022, Nutrients.

[3]  I. Huybrechts,et al.  Food portion sizes and their relationship with energy, and nutrient intakes in adolescents: The HELENA study. , 2022, Nutrition.

[4]  Z. Mchiza,et al.  Determinants of dietary patterns in school going adolescents in Urban Zambia , 2022, Frontiers in Nutrition.

[5]  Yanhong Shao,et al.  The association between peer relationship and learning engagement among adolescents: The chain mediating roles of self-efficacy and academic resilience , 2022, Frontiers in Psychology.

[6]  Kalkidan Hassen,et al.  Determinants of overweight and/or obesity among school adolescents in Butajira Town, Southern Ethiopia. A case-control study , 2022, PloS one.

[7]  M. Numans,et al.  Extending the Theory of Planned Behavior for Explaining Dietary Quality: The Role of Financial Scarcity and Food Insecurity Status. , 2022, Journal of nutrition education and behavior.

[8]  A. Khomsan,et al.  Validity and reliability of the theory of planned behavior questionnaire on the balanced dietary behavior of adolescents in a post-disaster area , 2022, Journal of Health Sciences.

[9]  E. Feskens,et al.  Factors Influencing Adolescents' Dietary Behaviors in the School and Home Environment in Addis Ababa, Ethiopia , 2022, Frontiers in Public Health.

[10]  Fawzia Alyafei,et al.  Nutritional interventions during adolescence and their possible effects. , 2022, Acta bio-medica : Atenei Parmensis.

[11]  J. Chen,et al.  How Does the Family Influence Adolescent Eating Habits in Terms of Knowledge, Attitudes and Practices? A Global Systematic Review of Qualitative Studies , 2021, Nutrients.

[12]  R. Agustina,et al.  Relationships of Child-, Parents-, and Environment-Associated Determinants with Diet Quality, Physical Activity, and Smoking Habits Among Indonesian Urban Adolescents , 2021, Food and nutrition bulletin.

[13]  A. Saba,et al.  Relationship Between Nutrition Knowledge and Dietary Intake: An Assessment Among a Sample of Italian Adults , 2021, Frontiers in Nutrition.

[14]  K. Stronks,et al.  Dynamics of the complex food environment underlying dietary intake in low-income groups: a systems map of associations extracted from a systematic umbrella literature review , 2021, International Journal of Behavioral Nutrition and Physical Activity.

[15]  S. Buys,et al.  Mothers’ Diet and Family Income Predict Daughters’ Healthy Eating , 2021, Preventing chronic disease.

[16]  Yikyung Park,et al.  Diet quality, school attendance, and body weight status in adolescent girls in rural Guatemala , 2021, Annals of the New York Academy of Sciences.

[17]  S. McKune,et al.  Animal source foods: Sustainability problem or malnutrition and sustainability solution? Perspective matters , 2020 .

[18]  T. Aris,et al.  Dietary Patterns and Associated Factors Among Adolescents in Malaysia: Findings from Adolescent Nutrition Survey 2017 , 2020, International journal of environmental research and public health.

[19]  Pibao Li,et al.  Clinical Characteristics of COVID-19 Patients With Digestive Symptoms in Hubei, China: A Descriptive, Cross-Sectional, Multicenter Study , 2020, The American journal of gastroenterology.

[20]  A. Grønhøj,et al.  The influence of peers′ and siblings′ on children’s and adolescents′ healthy eating behavior. A systematic literature review , 2020, Appetite.

[21]  E. Evans,et al.  The relationship between animal and plant protein intake and overall diet quality in young adults. , 2019, Clinical nutrition.

[22]  E. Kupek,et al.  Dietary Patterns and Childhood Obesity Risk: A Systematic Review. , 2019, Childhood obesity.

[23]  J. Mota,et al.  Gender Analyses of Brazilian Parental Eating and Activity With Their Adolescents' Eating Habits. , 2019, Journal of nutrition education and behavior.

[24]  M. Salehi,et al.  Psychometric Properties of Persian Version of Nutrition Literacy Inventory (NLI-28, 2017) among University Students , 2019 .

[25]  K. Gutkowska,et al.  Mothers’ Vegetable Consumption Behaviors and Preferences as Factors Limiting the Possibility of Increasing Vegetable Consumption in Children in a National Sample of Polish and Romanian Respondents , 2019, Nutrients.

[26]  F. Cureau,et al.  Diet quality index for Brazilian adolescents: the ERICA study , 2019, European Journal of Nutrition.

[27]  L. Moreno,et al.  Diet quality index as a predictor of treatment efficacy in overweight and obese adolescents: The EVASYON study. , 2019, Clinical nutrition.

[28]  G. Mavrotas,et al.  Micronutrient-rich food consumption, intra-household food allocation and child stunting in rural Nigeria , 2018, Public Health Nutrition.

[29]  Z. Bhutta,et al.  The Dietary Intake and Practices of Adolescent Girls in Low- and Middle-Income Countries: A Systematic Review , 2018, Nutrients.

[30]  P. Brambilla,et al.  Factors Influencing Children’s Eating Behaviours , 2018, Nutrients.

[31]  Mary E. Wlodek,et al.  Adolescence and the next generation , 2018, Nature.

[32]  H. Joulaei,et al.  Nutrition literacy as a determinant for diet quality amongst young adolescents : a cross sectional study , 2018 .

[33]  M. Sjöström,et al.  Do adolescents accurately evaluate their diet quality? The HELENA study. , 2017, Clinical nutrition.

[34]  Z. Bhutta,et al.  Nutrition in Middle Childhood and Adolescence , 2017 .

[35]  É. A. Silveira,et al.  Determinants of eating patterns and nutrient intake among adolescent athletes: a systematic review , 2017, Nutrition Journal.

[36]  N. Sari Ketahanan Pangan Tingkat Rumah Tangga Perkotaan Dan Pedesaan Di Kabupaten Kutai Kartanegara , 2017, Jurnal Ekonomi &amp; Manajemen Indonesia.

[37]  T. Marteau,et al.  Is the intention–behaviour gap greater amongst the more deprived? A meta‐analysis of five studies on physical activity, diet, and medication adherence in smoking cessation , 2015, British journal of health psychology.

[38]  H. Raynor,et al.  Eating Frequency, Food Intake, and Weight: A Systematic Review of Human and Animal Experimental Studies , 2015, Front. Nutr..

[39]  H. Payette,et al.  Barriers to food intake in acute care hospitals: a report of the Canadian Malnutrition Task Force. , 2015, Journal of human nutrition and dietetics : the official journal of the British Dietetic Association.

[40]  L. Miller,et al.  The effects of nutrition knowledge on food label use. A review of the literature , 2015, Appetite.

[41]  Anastasia Lykou,et al.  Socio-economic and lifestyle parameters associated with diet quality of children and adolescents using classification and regression tree analysis: the DIATROFI study , 2015, Public Health Nutrition.

[42]  T. Reardon,et al.  Urbanization, Diet Change, and Transformation of the Downstream and Midstream of the Agrifood System: Effects on the Poor in Africa and Asia , 2015 .

[43]  A. Worsley,et al.  Healthy eating norms and food consumption , 2014, European Journal of Clinical Nutrition.

[44]  Rahul Sharma The Family and Family Structure Classification Redefined for the Current Times , 2013, Journal of family medicine and primary care.

[45]  A. Bargiota,et al.  Eating habits and factors affecting food choice of adolescents living in rural areas , 2013, Hormones.

[46]  Shawn N. Fraser,et al.  Geography Influences Dietary Intake, Physical Activity and Weight Status of Adolescents , 2012, Journal of nutrition and metabolism.

[47]  A. Karabulut,et al.  Prevalence and Risk Factors of Anemia among Adolescents in Denizli, Turkey , 2012, Iranian journal of pediatrics.

[48]  Marian Sygit,et al.  Eating habits of children and adolescents from rural regions depending on gender, education, and economic status of parents. , 2011, Annals of agricultural and environmental medicine : AAEM.

[49]  Wfp,et al.  The State of Food Insecurity in the World , 2011 .

[50]  D. Nutbeam Health literacy as a public health goal: a challenge for contemporary health education and communication strategies into the 21st century , 2000 .

[51]  A. Rogol,et al.  Growth and pubertal development in children and adolescents: effects of diet and physical activity. , 2000, The American journal of clinical nutrition.

[52]  A. Winsor Sampling techniques. , 2000, Nursing times.

[53]  M. A. Thompson,et al.  Development and validation of a new body-image assessment scale. , 1995, Journal of personality assessment.

[54]  S A Jebb,et al.  Critical evaluation of energy intake data using fundamental principles of energy physiology: 1. Derivation of cut-off limits to identify under-recording. , 1991, European journal of clinical nutrition.

[55]  T. Patterson,et al.  The development of scales to measure social support for diet and exercise behaviors. , 1987, Preventive medicine.