Skip to main content
Top
Published in: Current Nutrition Reports 2/2019

01-06-2019 | Maternal and Childhood Nutrition (AC Wood, Section Editor)

Determinants and Interventions to Promote Water Consumption Among Adolescents: a Review of the Recent Literature

Authors: Lydi-Anne Vézina-Im, Dominique Beaulieu

Published in: Current Nutrition Reports | Issue 2/2019

Login to get access

Abstract

Purpose of Review

This review summarizes the latest scientific evidence on determinants and interventions to promote water consumption among adolescents.

Recent Findings

We identified 15 studies on determinants of water consumption and 11 interventions to promote water consumption among adolescents. Determinants of adolescent’s water consumption included individual (e.g., physiological, demographic, psychological, and behavioral variables), social (e.g., peer influence), and environmental (e.g., availability of water at school/home, warm weather) ones and school policies. Interventions with both educational/behavioral and legislative/environmental components seem the most promising to promote water consumption among adolescents.

Summary

To our knowledge, this is the first review integrating the results on both determinants of, and interventions to promote, water consumption among adolescents. Gaps in the scientific literature were identified and recommendations to improve future studies were given. Promoting water consumption among adolescents could be a promising avenue to lower obesity and promote early acquisition of healthy dietary habits.
Literature
1.
go back to reference NCD Risk Factor Collaboration (NCD-RisC). Worldwide trends in body-mass index, underweight, overweight, and obesity from 1975 to 2016: a pooled analysis of 2416 population-based measurement studies in 128.9 million children, adolescents, and adults. Lancet. 2017;390(10113):2627–42.CrossRef NCD Risk Factor Collaboration (NCD-RisC). Worldwide trends in body-mass index, underweight, overweight, and obesity from 1975 to 2016: a pooled analysis of 2416 population-based measurement studies in 128.9 million children, adolescents, and adults. Lancet. 2017;390(10113):2627–42.CrossRef
2.
go back to reference Ogden CL, Fryar CD, Hales CM, Carroll MD, Aoki Y, Freedman DS. Differences in obesity prevalence by demographics and urbanization in US children and adolescents, 2013–2016. JAMA. 2018;319(23):2410–8.CrossRef Ogden CL, Fryar CD, Hales CM, Carroll MD, Aoki Y, Freedman DS. Differences in obesity prevalence by demographics and urbanization in US children and adolescents, 2013–2016. JAMA. 2018;319(23):2410–8.CrossRef
3.
go back to reference Rao DP, Kropac E, Do MT, Roberts KC, Jayaraman GC. Childhood overweight and obesity trends in Canada. Health Promot Chronic Dis Prev Can. 2016;36(9):194–8.CrossRef Rao DP, Kropac E, Do MT, Roberts KC, Jayaraman GC. Childhood overweight and obesity trends in Canada. Health Promot Chronic Dis Prev Can. 2016;36(9):194–8.CrossRef
4.
go back to reference Bucher Della Torre S, Keller A, Laure Depeyre J, Kruseman M. Sugar-sweetened beverages and obesity risk in children and adolescents: a systematic analysis on how methodological quality may influence conclusions. J Acad Nutr Diet. 2016;116(4):638–59.CrossRef Bucher Della Torre S, Keller A, Laure Depeyre J, Kruseman M. Sugar-sweetened beverages and obesity risk in children and adolescents: a systematic analysis on how methodological quality may influence conclusions. J Acad Nutr Diet. 2016;116(4):638–59.CrossRef
5.
go back to reference Keller A, Bucher Della Torre S. Sugar-sweetened beverages and obesity among children and adolescents: a review of systematic literature reviews. Child Obes. 2015;11(4):338–46.CrossRef Keller A, Bucher Della Torre S. Sugar-sweetened beverages and obesity among children and adolescents: a review of systematic literature reviews. Child Obes. 2015;11(4):338–46.CrossRef
6.
go back to reference Bailey RL, Fulgoni VL, Cowan AE, Gaine PC. Sources of added sugars in young children, adolescents, and adults with low and high intakes of added sugars. Nutrients. 2018;10(1). Bailey RL, Fulgoni VL, Cowan AE, Gaine PC. Sources of added sugars in young children, adolescents, and adults with low and high intakes of added sugars. Nutrients. 2018;10(1).
7.
go back to reference Langlois K, Garriguet D, Gonzalez A, Sinclair S, Colapinto CK. Change in total sugars consumption among Canadian children and adults. Health Rep. Nutrients. 2018;10(1):102. Langlois K, Garriguet D, Gonzalez A, Sinclair S, Colapinto CK. Change in total sugars consumption among Canadian children and adults. Health Rep. Nutrients. 2018;10(1):102.
8.
go back to reference Muckelbauer R, Barbosa CL, Mittag T, Burkhardt K, Mikelaishvili N, Muller-Nordhorn J. Association between water consumption and body weight outcomes in children and adolescents: a systematic review. Obesity (Silver Spring). 2014;22(12):2462–75. Muckelbauer R, Barbosa CL, Mittag T, Burkhardt K, Mikelaishvili N, Muller-Nordhorn J. Association between water consumption and body weight outcomes in children and adolescents: a systematic review. Obesity (Silver Spring). 2014;22(12):2462–75.
9.
go back to reference Vieux F, Maillot M, Constant F, Drewnowski A. Water and beverage consumption patterns among 4 to 13-year-old children in the United Kingdom. BMC Public Health. 2017;17(1):479.CrossRef Vieux F, Maillot M, Constant F, Drewnowski A. Water and beverage consumption patterns among 4 to 13-year-old children in the United Kingdom. BMC Public Health. 2017;17(1):479.CrossRef
10.•
go back to reference Sui Z, Zheng M, Zhang M, Rangan A. Water and beverage consumption: analysis of the Australian 2011–2012 National Nutrition and Physical Activity Survey. Nutrients. 2016;8(11):678. This article used data from the Australian 2011–2012 National Nutrition and Physical Activity Survey and reported that water consumption among children and adolescents (2–18 years) in Australia is below recommendations. Sui Z, Zheng M, Zhang M, Rangan A. Water and beverage consumption: analysis of the Australian 2011–2012 National Nutrition and Physical Activity Survey. Nutrients. 2016;8(11):678. This article used data from the Australian 2011–2012 National Nutrition and Physical Activity Survey and reported that water consumption among children and adolescents (2–18 years) in Australia is below recommendations.
11.
go back to reference Roche SM, Jones AQ, Majowicz SE, McEwen SA, Pintar KD. Drinking water consumption patterns in Canadian communities (2001–2007). J Water Health. 2012;10(1):69–86.CrossRef Roche SM, Jones AQ, Majowicz SE, McEwen SA, Pintar KD. Drinking water consumption patterns in Canadian communities (2001–2007). J Water Health. 2012;10(1):69–86.CrossRef
12.
go back to reference Drewnowski A, Rehm CD, Constant F. Water and beverage consumption among children age 4–13y in the United States: analyses of 2005–2010 NHANES data. Nutr J. 2013;12:85.CrossRef Drewnowski A, Rehm CD, Constant F. Water and beverage consumption among children age 4–13y in the United States: analyses of 2005–2010 NHANES data. Nutr J. 2013;12:85.CrossRef
13.
go back to reference Bartholomew Eldredge LK, Markham CM, Ruiter RAC, Fernandez ME, Kok G, Parcel GS. Planning health promotion programs: an intervention mapping approach. 4th ed. San Francisco: Jossey-Bass; 2016. Bartholomew Eldredge LK, Markham CM, Ruiter RAC, Fernandez ME, Kok G, Parcel GS. Planning health promotion programs: an intervention mapping approach. 4th ed. San Francisco: Jossey-Bass; 2016.
14.
go back to reference Michie S, Atkins L, West R. The behavior change wheel: a guide to designing interventions. London: Silverback Publishing; 2014. Michie S, Atkins L, West R. The behavior change wheel: a guide to designing interventions. London: Silverback Publishing; 2014.
15.
go back to reference Sallis JF, Owen N. Ecological models of health behavior. In: Glanz K, Rimer BK, Viswanath K, editors. Health behavior: theory, research, and practice. 5th ed. San Francisco, CA: Jossey-Bass; 2015. p. 43–64. Sallis JF, Owen N. Ecological models of health behavior. In: Glanz K, Rimer BK, Viswanath K, editors. Health behavior: theory, research, and practice. 5th ed. San Francisco, CA: Jossey-Bass; 2015. p. 43–64.
16.••
go back to reference Vargas-Garcia EJ, Evans CEL, Prestwich A, Sykes-Muskett BJ, Hooson J, Cade JE. Interventions to reduce consumption of sugar-sweetened beverages or increase water intake: evidence from a systematic review and meta-analysis. Obes Rev. 2017;18(11):1350–63 This article reviewed interventions to reduce sugar-sweetened beverages (SSB) or increase water consumption among children, adolescents and adults. It identified that interventions significantly decreased SSB consumption among adolescents, but pooled estimates for interventions on water consumption were not possible in adolescents. CrossRef Vargas-Garcia EJ, Evans CEL, Prestwich A, Sykes-Muskett BJ, Hooson J, Cade JE. Interventions to reduce consumption of sugar-sweetened beverages or increase water intake: evidence from a systematic review and meta-analysis. Obes Rev. 2017;18(11):1350–63 This article reviewed interventions to reduce sugar-sweetened beverages (SSB) or increase water consumption among children, adolescents and adults. It identified that interventions significantly decreased SSB consumption among adolescents, but pooled estimates for interventions on water consumption were not possible in adolescents. CrossRef
17.••
go back to reference Vezina-Im LA, Beaulieu D, Belanger-Gravel A, Boucher D, Sirois C, Dugas M, et al. Efficacy of school-based interventions aimed at decreasing sugar-sweetened beverage consumption among adolescents: a systematic review. Public Health Nutr. 2017;20(13):2416–31 This article reviewed school-based interventions aimed at decreasing SSB consumption among adolescents (12–17 years). It reported that legislative/environmental only interventions had the highest success rate while educational/behavioral interventions only and interventions that combined educational/behavioral and legislative/environmental approaches were almost equally effective in reducing SSB consumption. It also identified the behavior change techniques most frequently used in interventions. CrossRef Vezina-Im LA, Beaulieu D, Belanger-Gravel A, Boucher D, Sirois C, Dugas M, et al. Efficacy of school-based interventions aimed at decreasing sugar-sweetened beverage consumption among adolescents: a systematic review. Public Health Nutr. 2017;20(13):2416–31 This article reviewed school-based interventions aimed at decreasing SSB consumption among adolescents (12–17 years). It reported that legislative/environmental only interventions had the highest success rate while educational/behavioral interventions only and interventions that combined educational/behavioral and legislative/environmental approaches were almost equally effective in reducing SSB consumption. It also identified the behavior change techniques most frequently used in interventions. CrossRef
18.•
go back to reference Barrett N, Colon-Ramos U, Elkins A, Rivera I, Evans WD, Edberg M. Formative research to design a promotional campaign to increase drinking water among Central American Latino youth in an urban area. J Health Commun. 2017;22(6):459–68 This qualitative study used focus groups to investigate youth’s (6–18 years) motives for drinking water. It was based on an ecological model and identified individual (being thirsty, taste preferences, beliefs about water being energizing, concerns about the safety and cleanliness of tap water at home and at school), social (peer influence) and environmental (warm weather and availability at home and at school) determinants of water consumption. CrossRef Barrett N, Colon-Ramos U, Elkins A, Rivera I, Evans WD, Edberg M. Formative research to design a promotional campaign to increase drinking water among Central American Latino youth in an urban area. J Health Commun. 2017;22(6):459–68 This qualitative study used focus groups to investigate youth’s (6–18 years) motives for drinking water. It was based on an ecological model and identified individual (being thirsty, taste preferences, beliefs about water being energizing, concerns about the safety and cleanliness of tap water at home and at school), social (peer influence) and environmental (warm weather and availability at home and at school) determinants of water consumption. CrossRef
19.•
go back to reference Bogart LM, Babey SH, Patel AI, Wang P, Schuster MA. Lunchtime school water availability and water consumption among California adolescents. J Adolesc Health. 2016;58(1):98–103 This study used the 2012–2013 California Health Interview Survey to identify individual and environmental determinants of water consumption among adolescents (12–17 years). Availability of free water in schools during lunchtime and age were significantly associated with adolescents’ water consumption, while African-American adolescents had a lower water consumption compared to their White counterparts. CrossRef Bogart LM, Babey SH, Patel AI, Wang P, Schuster MA. Lunchtime school water availability and water consumption among California adolescents. J Adolesc Health. 2016;58(1):98–103 This study used the 2012–2013 California Health Interview Survey to identify individual and environmental determinants of water consumption among adolescents (12–17 years). Availability of free water in schools during lunchtime and age were significantly associated with adolescents’ water consumption, while African-American adolescents had a lower water consumption compared to their White counterparts. CrossRef
20.
go back to reference Brener ND, Merlo C, Eaton D, Kann L, Park S, Blanck HM. Beverage consumption among high school students—United States, 2010. MMWR Morb Mortal Wkly Rep. 2011;60(23):778–80. Brener ND, Merlo C, Eaton D, Kann L, Park S, Blanck HM. Beverage consumption among high school students—United States, 2010. MMWR Morb Mortal Wkly Rep. 2011;60(23):778–80.
21.
go back to reference Gong QH, Li H, Zhang XH, Zhang T, Cui J, Xu GZ. Associations between sleep duration and physical activity and dietary behaviors in Chinese adolescents: results from the Youth Behavioral Risk Factor Surveys of 2015. Sleep Med. 2017;37:168–73.CrossRef Gong QH, Li H, Zhang XH, Zhang T, Cui J, Xu GZ. Associations between sleep duration and physical activity and dietary behaviors in Chinese adolescents: results from the Youth Behavioral Risk Factor Surveys of 2015. Sleep Med. 2017;37:168–73.CrossRef
22.
go back to reference Guelinckx I, Iglesia I, Bottin JH, De Miguel-Etayo P, Gonzalez-Gil EM, Salas-Salvado J, et al. Intake of water and beverages of children and adolescents in 13 countries. Eur J Nutr. 2015;54(Suppl 2):69–79.CrossRef Guelinckx I, Iglesia I, Bottin JH, De Miguel-Etayo P, Gonzalez-Gil EM, Salas-Salvado J, et al. Intake of water and beverages of children and adolescents in 13 countries. Eur J Nutr. 2015;54(Suppl 2):69–79.CrossRef
23.
go back to reference Haire-Joshu D, Yount BW, Budd EL, Schwarz C, Schermbeck R, Green S, et al. The quality of school wellness policies and energy-balance behaviors of adolescent mothers. Prev Chronic Dis. 2011;8(2):A34. Haire-Joshu D, Yount BW, Budd EL, Schwarz C, Schermbeck R, Green S, et al. The quality of school wellness policies and energy-balance behaviors of adolescent mothers. Prev Chronic Dis. 2011;8(2):A34.
24.
go back to reference Huerta-Saenz L, Irigoyen M, Benavides J, Mendoza M. Tap or bottled water: drinking preferences among urban minority children and adolescents. J Community Health. 2012;37(1):54–8.CrossRef Huerta-Saenz L, Irigoyen M, Benavides J, Mendoza M. Tap or bottled water: drinking preferences among urban minority children and adolescents. J Community Health. 2012;37(1):54–8.CrossRef
25.
go back to reference Kant AK, Graubard BI. Contributors of water intake in US children and adolescents: associations with dietary and meal characteristics—National Health and Nutrition Examination Survey 2005–2006. Am J Clin Nutr. 2010;92(4):887–96.CrossRef Kant AK, Graubard BI. Contributors of water intake in US children and adolescents: associations with dietary and meal characteristics—National Health and Nutrition Examination Survey 2005–2006. Am J Clin Nutr. 2010;92(4):887–96.CrossRef
26.
go back to reference Lee HS, Park S, Kim MH. Factors associated with low water intake among South Korean adolescents—Korea National Health and Nutrition Examination Survey, 2007–2010. Nutr Res Pract. 2014;8(1):74–80.CrossRef Lee HS, Park S, Kim MH. Factors associated with low water intake among South Korean adolescents—Korea National Health and Nutrition Examination Survey, 2007–2010. Nutr Res Pract. 2014;8(1):74–80.CrossRef
27.
go back to reference Onufrak SJ, Park S, Sharkey JR, Merlo C, Dean WR, Sherry B. Perceptions of tap water and school water fountains and association with intake of plain water and sugar-sweetened beverages. J Sch Health. 2014;84(3):195–204.CrossRef Onufrak SJ, Park S, Sharkey JR, Merlo C, Dean WR, Sherry B. Perceptions of tap water and school water fountains and association with intake of plain water and sugar-sweetened beverages. J Sch Health. 2014;84(3):195–204.CrossRef
28.
go back to reference Ottevaere C, Huybrechts I, Beghin L, Cuenca-Garcia M, De Bourdeaudhuij I, Gottrand F, et al. Relationship between self-reported dietary intake and physical activity levels among adolescents: the HELENA study. Int J Behav Nutr Phys Act. 2011;8:8.CrossRef Ottevaere C, Huybrechts I, Beghin L, Cuenca-Garcia M, De Bourdeaudhuij I, Gottrand F, et al. Relationship between self-reported dietary intake and physical activity levels among adolescents: the HELENA study. Int J Behav Nutr Phys Act. 2011;8:8.CrossRef
29.
go back to reference Park S, Sherry B, O’Toole T, Huang Y. Factors associated with low drinking water intake among adolescents: the Florida Youth Physical Activity and Nutrition Survey, 2007. J Am Diet Assoc. 2011;111(8):1211–7.CrossRef Park S, Sherry B, O’Toole T, Huang Y. Factors associated with low drinking water intake among adolescents: the Florida Youth Physical Activity and Nutrition Survey, 2007. J Am Diet Assoc. 2011;111(8):1211–7.CrossRef
30.
go back to reference Park S, Blanck HM, Sherry B, Brener N, O’Toole T. Factors associated with low water intake among US high school students—National Youth Physical Activity and Nutrition Study, 2010. J Acad Nutr Diet. 2012;112(9):1421–7.CrossRef Park S, Blanck HM, Sherry B, Brener N, O’Toole T. Factors associated with low water intake among US high school students—National Youth Physical Activity and Nutrition Study, 2010. J Acad Nutr Diet. 2012;112(9):1421–7.CrossRef
31.
go back to reference Patel AI, Chandran K, Hampton KE, Hecht K, Grumbach JM, Kimura AT, et al. Observations of drinking water access in school food service areas before implementation of federal and state school water policy, California, 2011. Prev Chronic Dis. 2012;9:E121.PubMedPubMedCentral Patel AI, Chandran K, Hampton KE, Hecht K, Grumbach JM, Kimura AT, et al. Observations of drinking water access in school food service areas before implementation of federal and state school water policy, California, 2011. Prev Chronic Dis. 2012;9:E121.PubMedPubMedCentral
32.
go back to reference Patel AI, Bogart LM, Klein DJ, Burt C, Uyeda KE, Hawes-Dawson J, et al. Middle school student attitudes about school drinking fountains and water intake. Acad Pediatr. 2014;14(5):471–7.CrossRef Patel AI, Bogart LM, Klein DJ, Burt C, Uyeda KE, Hawes-Dawson J, et al. Middle school student attitudes about school drinking fountains and water intake. Acad Pediatr. 2014;14(5):471–7.CrossRef
33.
go back to reference Ajzen I. The theory of planned behavior. Organ Behav Hum Decis Process. 1991;50(2):179–211.CrossRef Ajzen I. The theory of planned behavior. Organ Behav Hum Decis Process. 1991;50(2):179–211.CrossRef
34.
go back to reference de Souza Dantas M, Dos Santos MC, Lopes LAF, Guedes DP, Guedes MRA, Oesterreich SA. Clustering of excess body weight-related behaviors in a sample of Brazilian adolescents. Nutrients. 2018;10(10):1505. de Souza Dantas M, Dos Santos MC, Lopes LAF, Guedes DP, Guedes MRA, Oesterreich SA. Clustering of excess body weight-related behaviors in a sample of Brazilian adolescents. Nutrients. 2018;10(10):1505.
35.
go back to reference Hayes JF, Balantekin KN, Altman M, Wilfley DE, Taylor CB, Williams J. Sleep patterns and quality are associated with severity of obesity and weight-related behaviors in adolescents with overweight and obesity. Child Obes. 2018;14(1):11–7.CrossRef Hayes JF, Balantekin KN, Altman M, Wilfley DE, Taylor CB, Williams J. Sleep patterns and quality are associated with severity of obesity and weight-related behaviors in adolescents with overweight and obesity. Child Obes. 2018;14(1):11–7.CrossRef
36.
go back to reference Kenney EL, Gortmaker SL. United States adolescents’ television, computer, videogame, smartphone, and tablet use: associations with sugary drinks, sleep, physical activity, and obesity. J Pediatr. 2017;182:144–9.CrossRef Kenney EL, Gortmaker SL. United States adolescents’ television, computer, videogame, smartphone, and tablet use: associations with sugary drinks, sleep, physical activity, and obesity. J Pediatr. 2017;182:144–9.CrossRef
37.
go back to reference Laxer RE, Brownson RC, Dubin JA, Cooke M, Chaurasia A, Leatherdale ST. Clustering of risk-related modifiable behaviours and their association with overweight and obesity among a large sample of youth in the COMPASS study. BMC Public Health. 2017;17(1):102.CrossRef Laxer RE, Brownson RC, Dubin JA, Cooke M, Chaurasia A, Leatherdale ST. Clustering of risk-related modifiable behaviours and their association with overweight and obesity among a large sample of youth in the COMPASS study. BMC Public Health. 2017;17(1):102.CrossRef
38.
go back to reference Leech RM, McNaughton SA, Timperio A. The clustering of diet, physical activity and sedentary behavior in children and adolescents: a review. Int J Behav Nutr Phys Act. 2014;11:4.CrossRef Leech RM, McNaughton SA, Timperio A. The clustering of diet, physical activity and sedentary behavior in children and adolescents: a review. Int J Behav Nutr Phys Act. 2014;11:4.CrossRef
39.
go back to reference Matias TS, Silva KS, Silva JAD, Mello GT, Salmon J. Clustering of diet, physical activity and sedentary behavior among Brazilian adolescents in the national school-based health survey (PeNSE 2015). BMC Public Health. 2018;18(1):1283.CrossRef Matias TS, Silva KS, Silva JAD, Mello GT, Salmon J. Clustering of diet, physical activity and sedentary behavior among Brazilian adolescents in the national school-based health survey (PeNSE 2015). BMC Public Health. 2018;18(1):1283.CrossRef
40.
go back to reference Nuutinen T, Lehto E, Ray C, Roos E, Villberg J, Tynjala J. Clustering of energy balance-related behaviours, sleep, and overweight among Finnish adolescents. Int J Public Health. 2017;62(8):929–38.CrossRef Nuutinen T, Lehto E, Ray C, Roos E, Villberg J, Tynjala J. Clustering of energy balance-related behaviours, sleep, and overweight among Finnish adolescents. Int J Public Health. 2017;62(8):929–38.CrossRef
41.
go back to reference Beaulieu D, Vézina-Im LA, Simard D, Boucher D. Beliefs of adolescents on sugar-sweetened beverages abstinence: a reasoned action approach elicitation study. Sci Nurs Health Pract. 2018;1(1):Article 2. Beaulieu D, Vézina-Im LA, Simard D, Boucher D. Beliefs of adolescents on sugar-sweetened beverages abstinence: a reasoned action approach elicitation study. Sci Nurs Health Pract. 2018;1(1):Article 2.
42.
go back to reference Schwartz MB, Lund AE, Grow HM, McDonnell E, Probart C, Samuelson A, et al. A comprehensive coding system to measure the quality of school wellness policies. J Am Diet Assoc. 2009;109(7):1256–62. Schwartz MB, Lund AE, Grow HM, McDonnell E, Probart C, Samuelson A, et al. A comprehensive coding system to measure the quality of school wellness policies. J Am Diet Assoc. 2009;109(7):1256–62.
43.
go back to reference Carlson MD, Morrison RS. Study design, precision, and validity in observational studies. J Palliat Med. 2009;12(1):77–82.CrossRef Carlson MD, Morrison RS. Study design, precision, and validity in observational studies. J Palliat Med. 2009;12(1):77–82.CrossRef
44.
go back to reference French DP, Sutton S. Reactivity of measurement in health psychology: how much of a problem is it? What can be done about it? Br J Health Psychol. 2010;15(Pt 3):453–68.CrossRef French DP, Sutton S. Reactivity of measurement in health psychology: how much of a problem is it? What can be done about it? Br J Health Psychol. 2010;15(Pt 3):453–68.CrossRef
45.
go back to reference Bandura A. Self-efficacy: toward a unifying theory of behavioral change. Psychol Rev. 1977;84(2):191–215.CrossRef Bandura A. Self-efficacy: toward a unifying theory of behavioral change. Psychol Rev. 1977;84(2):191–215.CrossRef
46.
go back to reference Dillman DA, Smyth JD, Christian LM. Internet, phone, mail, and mixed-mode surveys: the tailored design method. 4th ed. Hoboken: John Wiley & Sons; 2014. Dillman DA, Smyth JD, Christian LM. Internet, phone, mail, and mixed-mode surveys: the tailored design method. 4th ed. Hoboken: John Wiley & Sons; 2014.
47.
go back to reference Contento IR, Koch PA, Lee H, Sauberli W, Calabrese-Barton A. Enhancing personal agency and competence in eating and moving: formative evaluation of a middle school curriculum—choice, control, and change. J Nutr Educ Behav. 2007;39(5 Suppl):S179–86.CrossRef Contento IR, Koch PA, Lee H, Sauberli W, Calabrese-Barton A. Enhancing personal agency and competence in eating and moving: formative evaluation of a middle school curriculum—choice, control, and change. J Nutr Educ Behav. 2007;39(5 Suppl):S179–86.CrossRef
48.
go back to reference Haerens L, De Bourdeaudhuij I, Maes L, Vereecken C, Brug J, Deforche B. The effects of a middle-school healthy eating intervention on adolescents’ fat and fruit intake and soft drinks consumption. Public Health Nutr. 2007;10(5):443–9.CrossRef Haerens L, De Bourdeaudhuij I, Maes L, Vereecken C, Brug J, Deforche B. The effects of a middle-school healthy eating intervention on adolescents’ fat and fruit intake and soft drinks consumption. Public Health Nutr. 2007;10(5):443–9.CrossRef
49.
go back to reference Bogart LM, Cowgill BO, Elliott MN, Klein DJ, Hawes-Dawson J, Uyeda K, et al. A randomized controlled trial of students for nutrition and exercise: a community-based participatory research study. J Adoles Health. 2014;55(3):415–22. Bogart LM, Cowgill BO, Elliott MN, Klein DJ, Hawes-Dawson J, Uyeda K, et al. A randomized controlled trial of students for nutrition and exercise: a community-based participatory research study. J Adoles Health. 2014;55(3):415–22.
50.
go back to reference Collins CE, Dewar DL, Schumacher TL, Finn T, Morgan PJ, Lubans DR. 12 month changes in dietary intake of adolescent girls attending schools in low-income communities following the NEAT Girls cluster randomized controlled trial. Appetite. 2014;73:147–55.CrossRef Collins CE, Dewar DL, Schumacher TL, Finn T, Morgan PJ, Lubans DR. 12 month changes in dietary intake of adolescent girls attending schools in low-income communities following the NEAT Girls cluster randomized controlled trial. Appetite. 2014;73:147–55.CrossRef
51.
go back to reference Contento IR, Koch PA, Lee H, Calabrese-Barton A. Adolescents demonstrate improvement in obesity risk behaviors after completion of choice, control & change, a curriculum addressing personal agency and autonomous motivation. J Am Diet Assoc. 2010;110(12):1830–9.CrossRef Contento IR, Koch PA, Lee H, Calabrese-Barton A. Adolescents demonstrate improvement in obesity risk behaviors after completion of choice, control & change, a curriculum addressing personal agency and autonomous motivation. J Am Diet Assoc. 2010;110(12):1830–9.CrossRef
52.
go back to reference Elbel B, Mijanovich T, Abrams C, Cantor J, Dunn L, Nonas C, et al. A water availability intervention in New York City public schools: influence on youths’ water and milk behaviors. Am J Public Health. 2015;105(2):365–72. Elbel B, Mijanovich T, Abrams C, Cantor J, Dunn L, Nonas C, et al. A water availability intervention in New York City public schools: influence on youths’ water and milk behaviors. Am J Public Health. 2015;105(2):365–72.
53.
go back to reference Haerens L, Deforche B, Maes L, Cardon G, Stevens V, De Bourdeaudhuij I. Evaluation of a 2-year physical activity and healthy eating intervention in middle school children. Health Educ Res. 2006;21(6):911–21.CrossRef Haerens L, Deforche B, Maes L, Cardon G, Stevens V, De Bourdeaudhuij I. Evaluation of a 2-year physical activity and healthy eating intervention in middle school children. Health Educ Res. 2006;21(6):911–21.CrossRef
54.
go back to reference Haire-Joshu DL, Schwarz CD, Peskoe SB, Budd EL, Brownson RC, Joshu CE. A group randomized controlled trial integrating obesity prevention and control for postpartum adolescents in a home visiting program. Int J Behav Nutr Phys Act. 2015;12:88.CrossRef Haire-Joshu DL, Schwarz CD, Peskoe SB, Budd EL, Brownson RC, Joshu CE. A group randomized controlled trial integrating obesity prevention and control for postpartum adolescents in a home visiting program. Int J Behav Nutr Phys Act. 2015;12:88.CrossRef
55.
go back to reference Kavouras SA, Arnaoutis G, Makrillos M, Garagouni C, Nikolaou E, Chira O, et al. Educational intervention on water intake improves hydration status and enhances exercise performance in athletic youth. Scan J Med Sci Sports. 2012;22(5):684–9. Kavouras SA, Arnaoutis G, Makrillos M, Garagouni C, Nikolaou E, Chira O, et al. Educational intervention on water intake improves hydration status and enhances exercise performance in athletic youth. Scan J Med Sci Sports. 2012;22(5):684–9.
56.
go back to reference Kenney EL, Gortmaker SL, Carter JE, Howe MC, Reiner JF, Cradock AL. Grab a Cup, Fill It Up! An intervention to promote the convenience of drinking water and increase student water consumption during school lunch. Am J Public Health. 2015;105(9):1777–83.CrossRef Kenney EL, Gortmaker SL, Carter JE, Howe MC, Reiner JF, Cradock AL. Grab a Cup, Fill It Up! An intervention to promote the convenience of drinking water and increase student water consumption during school lunch. Am J Public Health. 2015;105(9):1777–83.CrossRef
57.
go back to reference Loughridge JL, Barratt J. Does the provision of cooled filtered water in secondary school cafeterias increase water drinking and decrease the purchase of soft drinks? J Hum Nutr Diet. 2005;18(4):281–6.CrossRef Loughridge JL, Barratt J. Does the provision of cooled filtered water in secondary school cafeterias increase water drinking and decrease the purchase of soft drinks? J Hum Nutr Diet. 2005;18(4):281–6.CrossRef
58.
go back to reference Patel AI, Bogart LM, Elliott MN, Lamb S, Uyeda KE, Hawes-Dawson J, et al. Increasing the availability and consumption of drinking water in middle schools: a pilot study. Prev Chronic Dis. 2011;8(3):A60. Patel AI, Bogart LM, Elliott MN, Lamb S, Uyeda KE, Hawes-Dawson J, et al. Increasing the availability and consumption of drinking water in middle schools: a pilot study. Prev Chronic Dis. 2011;8(3):A60.
59.••
go back to reference Wong JMW, Ebbeling CB, Robinson L, Feldman HA, Ludwig DS. Effects of advice to drink 8 cups of water per day in adolescents with overweight or obesity: a randomized clinical trial. JAMA Pediatr. 2017;171(5):e170012 In this intervention, the effects of advising overweight and obese adolescents (12–17 years) to drink 8 cups of water per day on their water consumption and weight were tested. At post-intervention, adolescents in the experimental group reported a greater increase in self-reported water consumption compared to the control group, but there was no significant difference in urine specific gravity between groups. CrossRef Wong JMW, Ebbeling CB, Robinson L, Feldman HA, Ludwig DS. Effects of advice to drink 8 cups of water per day in adolescents with overweight or obesity: a randomized clinical trial. JAMA Pediatr. 2017;171(5):e170012 In this intervention, the effects of advising overweight and obese adolescents (12–17 years) to drink 8 cups of water per day on their water consumption and weight were tested. At post-intervention, adolescents in the experimental group reported a greater increase in self-reported water consumption compared to the control group, but there was no significant difference in urine specific gravity between groups. CrossRef
60.
go back to reference Cane J, Richardson M, Johnston M, Ladha R, Michie S. From lists of behaviour change techniques (BCTs) to structured hierarchies: comparison of two methods of developing a hierarchy of BCTs. Br J Health Psychol. 2015;20(1):130–50.CrossRef Cane J, Richardson M, Johnston M, Ladha R, Michie S. From lists of behaviour change techniques (BCTs) to structured hierarchies: comparison of two methods of developing a hierarchy of BCTs. Br J Health Psychol. 2015;20(1):130–50.CrossRef
61.
go back to reference Hardcastle SJ, Fortier M, Blake N, Hagger MS. Identifying content-based and relational techniques to change behaviour in motivational interviewing. Health Psychol Rev. 2017;11(1):1–16.CrossRef Hardcastle SJ, Fortier M, Blake N, Hagger MS. Identifying content-based and relational techniques to change behaviour in motivational interviewing. Health Psychol Rev. 2017;11(1):1–16.CrossRef
62.
go back to reference Ryan RM, Deci EL. Intrinsic and extrinsic motivations: classic definitions and new directions. Contemp Educ Psychol. 2000;25(1):54–67.CrossRef Ryan RM, Deci EL. Intrinsic and extrinsic motivations: classic definitions and new directions. Contemp Educ Psychol. 2000;25(1):54–67.CrossRef
63.
go back to reference Fishbein M, Ajzen I. Predicting and changing behavior: the reasoned action approach. New York: Routledge; 2010. Fishbein M, Ajzen I. Predicting and changing behavior: the reasoned action approach. New York: Routledge; 2010.
64.
go back to reference Rogers EM. Diffusion of innovations. New York: Free Press of Glencoe; 1962. Rogers EM. Diffusion of innovations. New York: Free Press of Glencoe; 1962.
65.
go back to reference Prochaska JO, DiClemente CC. Stages and processes of self-change of smoking: toward an integrative model of change. J Consult Clin Psychol. 1983;51(3):390–5.CrossRef Prochaska JO, DiClemente CC. Stages and processes of self-change of smoking: toward an integrative model of change. J Consult Clin Psychol. 1983;51(3):390–5.CrossRef
66.
go back to reference Ory MG, Lee Smith M, Mier N, Wernicke MM. The science of sustaining health behavior change: the health maintenance consortium. Am J Health Behav. 2010;34(6):647–59.CrossRef Ory MG, Lee Smith M, Mier N, Wernicke MM. The science of sustaining health behavior change: the health maintenance consortium. Am J Health Behav. 2010;34(6):647–59.CrossRef
67.
go back to reference Kwasnicka D, Dombrowski SU, White M, Sniehotta F. Theoretical explanations for maintenance of behaviour change: a systematic review of behaviour theories. Health Psychol Rev. 2016;10(3):277–96.CrossRef Kwasnicka D, Dombrowski SU, White M, Sniehotta F. Theoretical explanations for maintenance of behaviour change: a systematic review of behaviour theories. Health Psychol Rev. 2016;10(3):277–96.CrossRef
68.
go back to reference Brug J, Oenema A, Ferreira I. Theory, evidence and intervention mapping to improve behavior nutrition and physical activity interventions. Int J Behav Nutr Phys Act. 2005;2(1):2.CrossRef Brug J, Oenema A, Ferreira I. Theory, evidence and intervention mapping to improve behavior nutrition and physical activity interventions. Int J Behav Nutr Phys Act. 2005;2(1):2.CrossRef
69.
go back to reference Fishbein M, Yzer MC. Using theory to design effective health behavior interventions. Commun Theory. 2003;13(2):164–83.CrossRef Fishbein M, Yzer MC. Using theory to design effective health behavior interventions. Commun Theory. 2003;13(2):164–83.CrossRef
70.
go back to reference King AC. Theory's role in shaping behavioral health research for population health. Int J Behav Nutr Phys Act. 2015;12:146.CrossRef King AC. Theory's role in shaping behavioral health research for population health. Int J Behav Nutr Phys Act. 2015;12:146.CrossRef
71.
go back to reference Rothman AJ. “Is there nothing more practical than a good theory?”: why innovations and advances in health behavior change will arise if interventions are used to test and refine theory. Int J Behav Nutr Phys Act. 2004;1(1):11.CrossRef Rothman AJ. “Is there nothing more practical than a good theory?”: why innovations and advances in health behavior change will arise if interventions are used to test and refine theory. Int J Behav Nutr Phys Act. 2004;1(1):11.CrossRef
Metadata
Title
Determinants and Interventions to Promote Water Consumption Among Adolescents: a Review of the Recent Literature
Authors
Lydi-Anne Vézina-Im
Dominique Beaulieu
Publication date
01-06-2019
Publisher
Springer US
Published in
Current Nutrition Reports / Issue 2/2019
Electronic ISSN: 2161-3311
DOI
https://doi.org/10.1007/s13668-019-0275-0

Other articles of this Issue 2/2019

Current Nutrition Reports 2/2019 Go to the issue

Nutrition and the Brain (J Nasser, Section Editor)

Micronutrients and Brain Development

Nutrition and the Brain (J Nasser, Section Editor)

Excessive Consumption of Sugar: an Insatiable Drive for Reward

Nutrition and the Brain (J Nasser, Section Editor)

Drug-Nutrition Interactions and the Brain: It’s Not All in Your Head