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Yi J, Song G, Lin Z, Peng Y, Wu J. Validity and Reproducibility of Food Group-Based Food Frequency Questionnaires in Assessing Sugar-Sweetened Beverage Consumption Habits among Chinese Middle-School Students. Nutrients 2023; 15:3928. [PMID: 37764712 PMCID: PMC10537416 DOI: 10.3390/nu15183928] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2023] [Revised: 09/05/2023] [Accepted: 09/08/2023] [Indexed: 09/29/2023] Open
Abstract
Assessing the intake of sugar-sweetened beverages (SSBs) is crucial for reducing obesity; however, a simple but relatively accurate method for determining added sugar consumption among school adolescents is lacking. The aim of this study was to evaluate the reproducibility and validity of a food group-based food frequency questionnaire (FG-FFQ) for SSBs in assessing SSB consumption and added sugar among middle-school students. A total of 242 school students completed the FG-FFQs twice and four discontinuous 24-h dietary records (24HDR) over a three-month period. A weighted average approach was used to obtain the average sugar content in the sugary drink food group (FG). Correlation coefficient, weighted kappa statistic, misclassification analysis, and Bland-Altman plot were used to evaluate the validity and reproducibility of the FG-FFQ. Linear regression was utilized to obtain the calibration formulas. The average content of added sugar in sugary drink FG was 8.1 g/100 mL. SSB consumption frequency, consumption amount, and added sugar had correlation coefficients of 0.81, 0.87, and 0.87, respectively, in the validity analysis (p < 0.05). The majority of scatter plots were covered by 95% confidence intervals in the Bland-Altman bias analysis. The intra-class correlation coefficient of SSB consumption frequency and Spearman correlation coefficient of SSB consumption amount and added sugar were 0.74, 0.81, and 0.90, respectively, in the reproducibility analysis (p < 0.05). Results produced by the FG-FFQ calibration formula were more comparable to 24HDR. The FG-FFQ for SSB consumption showed acceptable validity and reproducibility, making it a viable instrument for epidemiological studies on sugary drinks in adolescents.
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Affiliation(s)
- Junyao Yi
- School of Public Health, Nanjing Medical University, Nanjing 211166, China; (J.Y.); (G.S.)
| | - Guoye Song
- School of Public Health, Nanjing Medical University, Nanjing 211166, China; (J.Y.); (G.S.)
| | - Zhenghao Lin
- Department of Maternal, Child and Adolescent Health, School of Public Health, Nanjing Medical University, Nanjing 211166, China; (Z.L.); (Y.P.)
| | - Yuting Peng
- Department of Maternal, Child and Adolescent Health, School of Public Health, Nanjing Medical University, Nanjing 211166, China; (Z.L.); (Y.P.)
| | - Jieshu Wu
- Department of Maternal, Child and Adolescent Health, School of Public Health, Nanjing Medical University, Nanjing 211166, China; (Z.L.); (Y.P.)
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Hebestreit A, Do S, Wolters M, Mensink GBM, Garnica-Rosas L, Abu-Omar K, Messing S, Neumann-Podczaska A, Wieczorowska-Tobis K, Lien N, Stanley I, Ahrens W, Murrin C. Towards a harmonized European surveillance for dietary and physical activity indicators in young and adult populations. Eur J Public Health 2022; 32:iv21-iv31. [PMID: 36444107 PMCID: PMC9706124 DOI: 10.1093/eurpub/ckac061] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022] Open
Abstract
BACKGROUND The Policy Evaluation Network proposes a consolidated approach to measure comparable health indicators across European health surveillance systems to evaluate effectiveness of policy action. METHODS In a stepwise approach, questionnaire items used by the systems for measuring diet and physical activity data to describe health indicators were identified based on their validity, reliability, and suitability to monitor achievement of health recommendations. They were collated to unified questionnaire modules and discussed bilaterally with representatives of these systems to explore barriers and facilitators for implementation. Also, establishment of a methodological competence platform was proposed, in which the surveillance and monitoring systems agree on the priorities and common quality standards for the harmonization process and to coordinate the integration of questionnaire modules into existing systems. RESULTS In total, seven questionnaire modules were developed, of which two diet and two physical activity modules were proposed for implementation. Each module allows measurement of data reflecting only partial aspects of national and WHO recommendations related to diet and physical activity. Main barriers were the requirements of systems to monitor temporal trends and to minimize costs. Main facilitator for implementation was the systems' use of questionnaire items that were comparable to the unified modules. Representatives agreed to participate in a methodological competence platform. CONCLUSION We successfully took first steps in the realization of the roadmap towards a harmonization of European surveillance by introducing unified questionnaire modules allowing the collection of comparable health indicators and by initiating the establishment of a competence platform to guide this process.
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Affiliation(s)
- Antje Hebestreit
- Correspondence: Antje Hebestreit, Leibniz Institute for Prevention Research and Epidemiology—BIPS, Achterstrasse 30, 28359 Bremen, Germany, Tel: +49 (0) 421 218 56 849, e-mail: ,
| | - Stefanie Do
- Department of Epidemiological Methods and Etiological Research, Leibniz Institute for Prevention Research and Epidemiology—BIPS, Bremen, Germany,Faculty of Mathematics and Computer Science, University of Bremen, Bremen, Germany
| | - Maike Wolters
- Department of Epidemiological Methods and Etiological Research, Leibniz Institute for Prevention Research and Epidemiology—BIPS, Bremen, Germany
| | - Gert B M Mensink
- Department of Epidemiology and Health Reporting, Robert Koch Institute, Berlin, Germany
| | - Lina Garnica-Rosas
- Department of Epidemiology and Health Reporting, Robert Koch Institute, Berlin, Germany
| | - Karim Abu-Omar
- Department of Sport Science and Sport, Friedrich-Alexander University Erlangen-Nürnberg, Erlangen, Germany
| | - Sven Messing
- Department of Sport Science and Sport, Friedrich-Alexander University Erlangen-Nürnberg, Erlangen, Germany
| | | | | | - Nanna Lien
- Department of Nutrition, Institute of Basic Medical Sciences, University of Oslo, Oslo, Norway
| | - Isobel Stanley
- School of Public Health, Physiotherapy and Sports Science, University College Dublin, Dublin, Ireland
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Fagan MJ, Di Sebastiano KM, Qian W, Leatherdale S, Faulkner G. Coffee and cigarettes: Examining the association between caffeinated beverage consumption and smoking behaviour among youth in the COMPASS study. Prev Med Rep 2020; 19:101148. [PMID: 32695565 PMCID: PMC7363697 DOI: 10.1016/j.pmedr.2020.101148] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2019] [Revised: 05/22/2020] [Accepted: 06/14/2020] [Indexed: 12/26/2022] Open
Abstract
Caffeinated beverage consumption is associated with smoking behaviours in youth. High energy drink consumption is most strongly associated with smoking behaviours. Caffeinated beverages and smoking behaviour demonstrate a dose–response association.
In adults, coffee, sugar-sweetened beverage (SSB) and high energy drink consumption have been related to increases in risky behaviour, including smoking. However, these associations are not well understood during adolescence. The purpose of this study was to examine the association between beverage consumption and smoking behaviour among Canadian adolescents. Using data from the COMPASS study (2016–2017; n = 46,957), four models were developed to investigate whether beverage consumption explained variability in smoking behaviour in adolescence (age = 15.7 ± 1.2 yrs); 1) smoking status; 2) e-cigarette use status; 3) days smoking cigarettes per month; and 4) days using an e-cigarette per month. Models were adjusted for demographic factors. Logistic (models 1 and 2) and ordinal logistic (models 3 and 4) were used for analysis. An association between the frequency of SSBs, coffee/tea or high energy drinks consumption and smoking behaviour was identified in all models. Greater beverage consumption was associated with being a current smoker (OR = 2.46 (2.02, 2.99)), former smoker, (OR = 2.50 (1.53, 4.08)), and currently using an e-cigarette (OR = 4.66 (3.40, 6.40)). Higher beverage consumption was also associated with more days smoking/using an e-cigarette per month (OR = 2.67 (1.92, 3.70) and 3.45 (2.32, 5.12), respectively). High energy drink consumption on 4 or 5 days of the school week was the best predictor of smoking behaviour in all models. Given the health consequences of smoking and e-cigarette use and their association with SSB, high energy drinks and coffee consumption, policy initiatives to prevent smoking initiation and limit access to these beverages needs ongoing attention and implementation.
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Affiliation(s)
- Matthew James Fagan
- Population Physical Activity Laboratory, School of Kinesiology, University of British Columbia, Vancouver, BC, Canada
| | - Katie Mary Di Sebastiano
- Population Physical Activity Laboratory, School of Kinesiology, University of British Columbia, Vancouver, BC, Canada
| | - Wei Qian
- School of Public Health and Health Systems, University of Waterloo, Waterloo, ON, Canada
| | - Scott Leatherdale
- School of Public Health and Health Systems, University of Waterloo, Waterloo, ON, Canada
| | - Guy Faulkner
- Population Physical Activity Laboratory, School of Kinesiology, University of British Columbia, Vancouver, BC, Canada
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Riordan F, McGann R, Kingston C, Perry IJ, Schulze MB, Frost Andersen L, Geelen A, van’t Veer P, Eussen SJPM, Van Dongen MCJM, Wijckmans-Duysens NEG, Harrington JM. A systematic review of methods to assess intake of saturated fat (SF) among healthy European adults and children: a DEDIPAC (Determinants of Diet and Physical Activity) study. BMC Nutr 2018; 4:21. [PMID: 32153884 PMCID: PMC7050932 DOI: 10.1186/s40795-018-0231-1] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2017] [Accepted: 05/02/2018] [Indexed: 01/10/2023] Open
Abstract
BACKGROUND Dietary fat is an essential macronutrient. However, saturated fact has been associated with negative health outcomes including cardiovascular disease. Shifting consumption from saturated fat to unsaturated fats and limiting the level of saturated fat in the diet has been recommended. Currently, there is no standard method to measure saturated fat intake in etiologic studies. Therefore, it is difficult to obtain a reliable picture of saturated fat intake in Europe. To inform the development of the DEDIPAC (DEterminants of DIet and Physical Activity) toolbox of methods, we aimed to identify the assessment methods and specific instruments which have been used to assess saturated fat intake among children or adults in pan-European studies. METHODS Three electronic databases were searched for English language studies of any design which assessed intake of saturated fat. Reference lists were hand-searched. Studies were included if they were conducted in two or more European countries, and involved healthy, free-living children and adults. RESULTS The review identified 20 pan-European studies which assessed saturated fat intake. Food Frequency Questionnaires (n = 8) and diet records (n = 7) were most common, followed by 24-h recalls (n = 5). Methods differed in portion size estimation and the composition data which was used to calculate nutrient intake. Of the instruments used in more than two European countries, five Food Frequency Questionnaires had been specifically tested for validity to assess saturated fat intake; four among adults (Food4me, PURE, IMMIDIET, Health, Alcohol and Psychosocial factors in Eastern Europe (HAPIEE)) and one among children (used by Piqueras et al.). CONCLUSIONS A standardised approach to portion size estimation and a common source of food composition data are required to measure saturated fat intake across Europe effectively. Only five instruments had been used in more than two European countries and specifically tested for validity to assess saturated fat intake. These instruments may be most appropriate to evaluate intake of saturated fat in future pan-European studies. However, only two instruments had been tested for validity in more than one European country. Future work is needed to assess the validity of the identified instruments across European countries.
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Affiliation(s)
- Fiona Riordan
- School of Public Health, University College Cork, Western Road, Cork, Ireland
| | - Roisin McGann
- School of Public Health, Physiotherapy and Population Science, University College Dublin, Dublin, Ireland
| | - Ciara Kingston
- School of Food and Nutritional Sciences, University College Cork, Cork, Ireland
| | - Ivan J. Perry
- School of Public Health, University College Cork, Western Road, Cork, Ireland
| | - Matthias B. Schulze
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany
| | - Lene Frost Andersen
- Department of Nutrition, Institute of Basic Medical Sciences, University of Oslo, Oslo, Norway
| | - Anouk Geelen
- Division of Human Nutrition, Wageningen University and Research, Wageningen, Netherlands
| | - Pieter van’t Veer
- Division of Human Nutrition, Wageningen University and Research, Wageningen, Netherlands
| | - Simone J. P. M. Eussen
- Department of Epidemiology of the Faculty of Health, Medicine and Life Sciences, Maastricht University, Maastricht, The Netherlands
| | - Martien C. J. M. Van Dongen
- Department of Epidemiology of the Faculty of Health, Medicine and Life Sciences, Maastricht University, Maastricht, The Netherlands
| | - Nicole E. G. Wijckmans-Duysens
- Department of Epidemiology of the Faculty of Health, Medicine and Life Sciences, Maastricht University, Maastricht, The Netherlands
| | - Janas M. Harrington
- School of Public Health, University College Cork, Western Road, Cork, Ireland
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7
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Brug J, van der Ploeg HP, Loyen A, Ahrens W, Allais O, Andersen LF, Cardon G, Capranica L, Chastin S, De Bourdeaudhuij I, De Craemer M, Donnelly A, Ekelund U, Finglas P, Flechtner-Mors M, Hebestreit A, Kubiak T, Lanza M, Lien N, MacDonncha C, Mazzocchi M, Monsivais P, Murphy M, Nicolaou M, Nöthlings U, O’Gorman DJ, Renner B, Roos G, van den Berg M, Schulze MB, Steinacker JM, Stronks K, Volkert D, Lakerveld J. Determinants of diet and physical activity (DEDIPAC): a summary of findings. Int J Behav Nutr Phys Act 2017; 14:150. [PMID: 29100542 PMCID: PMC5670716 DOI: 10.1186/s12966-017-0609-5] [Citation(s) in RCA: 49] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2017] [Accepted: 10/27/2017] [Indexed: 12/16/2022] Open
Abstract
The establishment of the Determinants of Diet and Physical Activity (DEDIPAC) Knowledge Hub, 2013-2016, was the first action taken by the 'Healthy Diet for a Healthy Life' European Joint Programming Initiative. DEDIPAC aimed to provide better insight into the determinants of diet, physical activity and sedentary behaviour across the life course, i.e. insight into the causes of the causes of important, non-communicable diseases across Europe and beyond. DEDIPAC was launched in late 2013, and delivered its final report in late 2016. In this paper we give an overview of what was achieved in terms of furthering measurement and monitoring, providing overviews of the state-of-the-art in the field, and building toolboxes for further research and practice. Additionally, we propose some of the next steps that are now required to move forward in this field, arguing in favour of 1) sustaining the Knowledge Hub and developing it into a European virtual research institute and knowledge centre for determinants of behavioural nutrition and physical activity with close links to other parts of the world; 2) establishing a cohort study of families across all regions of Europe focusing specifically on the individual and contextual determinants of major, non-communicable disease; and 3) furthering DEDIPAC's work on nutrition, physical activity, and sedentary behaviour policy evaluation and benchmarking across Europe by aligning with other international initiatives and by supporting harmonisation of pan-European surveillance.
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Affiliation(s)
- Johannes Brug
- Amsterdam School of Communication Research (ASCoR), University of Amsterdam, Amsterdam, The Netherlands
| | - Hidde P. van der Ploeg
- Department of Public and Occupational Health, Amsterdam Public Health Research Institute, VU University Medical Center, Amsterdam, The Netherlands
- Sydney School of Public Health, University of Sydney, Sydney, NSW Australia
| | - Anne Loyen
- Department of Public and Occupational Health, Amsterdam Public Health Research Institute, VU University Medical Center, Amsterdam, The Netherlands
| | - Wolfgang Ahrens
- Leibniz-Institute for Prevention Research and Epidemiology – BIPS, Bremen, Germany
| | | | | | - Greet Cardon
- Department of Movement and Sports Sciences, Ghent University, Ghent, Belgium
| | - Laura Capranica
- Department of Movement, Human and Health Sciences, University of Rome Foro Italico, Rome, Italy
| | - Sebastien Chastin
- Department of Movement and Sports Sciences, Ghent University, Ghent, Belgium
- Institute for Applied Health Research, School of Health and Life Science, Glasgow Caledonian University, Scotland, UK
| | | | - Marieke De Craemer
- Department of Movement and Sports Sciences, Ghent University, Ghent, Belgium
| | - Alan Donnelly
- Centre for Physical Activity and Health Research, University of Limerick, Limerick, Ireland
| | - Ulf Ekelund
- Norwegian Institute of Public Health, Oslo, Norway
| | | | - Marion Flechtner-Mors
- Department of Internal Medicine II, Division of Sports and Rehabilitation Medicine, University Ulm, Ulm, Germany
| | - Antje Hebestreit
- Leibniz-Institute for Prevention Research and Epidemiology – BIPS, Bremen, Germany
| | | | - Massimo Lanza
- Department of Neurosciences, Biomedicine and Movement Sciences, Verona, Italy
| | - Nanna Lien
- Department of Nutrition, University of Oslo, Oslo, Norway
| | - Ciaran MacDonncha
- Health Research Institute, University of Limerick, Limerick, Ireland
| | - Mario Mazzocchi
- Department of Statistical Sciences of the University of Bologna, Bologna, Italy
| | - Pablo Monsivais
- Centre for Diet and Activity Research, MRC-Epidemiology Unit, School of Medicine, University of Cambridge, Cambridge, UK
| | - Marie Murphy
- Sport & Exercise Sciences Research Institute, Ulster University, Northern Ireland, UK
| | - Mary Nicolaou
- Department of Public Health, Amsterdam Public Health research institute, Academic Medical Centre, University of Amsterdam, Amsterdam, The Netherlands
| | - Ute Nöthlings
- Department of Nutrition and Food Science, Rheinische Friedrich-Wilhelms-Universität Bonn, Bonn, Germany
| | - Donal J. O’Gorman
- 3U Diabetes, School of Health and Human Performance, Dublin City University, Dublin, Ireland
| | - Britta Renner
- Department of Psychology, University of Konstanz, Konstanz, Germany
| | - Gun Roos
- Consumption Research Norway, Oslo and Akershus University College of Applied Sciences, Oslo, Norway
| | - Matthijs van den Berg
- Department of Prevention & Nutrition, National Institute for Public Health and the Environment, Bilthoven, The Netherlands
| | - Matthias B. Schulze
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany
| | - Jürgen M. Steinacker
- Department of Internal Medicine II, Division of Sports and Rehabilitation Medicine, University Ulm, Ulm, Germany
| | - Karien Stronks
- Department of Public Health, Amsterdam Public Health research institute, Academic Medical Centre, University of Amsterdam, Amsterdam, The Netherlands
| | - Dorothee Volkert
- Institute for Biomedicine of Aging, Friedrich-Alexander-Universität Erlangen-Nürnberg, Nuremberg, Germany
| | - Jeroen Lakerveld
- Department of Epidemiology and Biostatistics, Amsterdam Public Health research institute, VU University Medical Center, De Boelelaan 1089a, 1081 HV Amsterdam, The Netherlands
| | - on behalf of the DEDIPAC consortium
- Amsterdam School of Communication Research (ASCoR), University of Amsterdam, Amsterdam, The Netherlands
- Department of Public and Occupational Health, Amsterdam Public Health Research Institute, VU University Medical Center, Amsterdam, The Netherlands
- Sydney School of Public Health, University of Sydney, Sydney, NSW Australia
- Leibniz-Institute for Prevention Research and Epidemiology – BIPS, Bremen, Germany
- INRA, UR1303 ALISS, F-94205 Ivry-sur-Seine, France
- Department of Nutrition, University of Oslo, Oslo, Norway
- Department of Movement and Sports Sciences, Ghent University, Ghent, Belgium
- Department of Movement, Human and Health Sciences, University of Rome Foro Italico, Rome, Italy
- Institute for Applied Health Research, School of Health and Life Science, Glasgow Caledonian University, Scotland, UK
- Centre for Physical Activity and Health Research, University of Limerick, Limerick, Ireland
- Norwegian Institute of Public Health, Oslo, Norway
- Institute of Food Research, Norwich, UK
- Department of Internal Medicine II, Division of Sports and Rehabilitation Medicine, University Ulm, Ulm, Germany
- Johannes Gutenberg University, Mainz, Germany
- Department of Neurosciences, Biomedicine and Movement Sciences, Verona, Italy
- Health Research Institute, University of Limerick, Limerick, Ireland
- Department of Statistical Sciences of the University of Bologna, Bologna, Italy
- Centre for Diet and Activity Research, MRC-Epidemiology Unit, School of Medicine, University of Cambridge, Cambridge, UK
- Sport & Exercise Sciences Research Institute, Ulster University, Northern Ireland, UK
- Department of Public Health, Amsterdam Public Health research institute, Academic Medical Centre, University of Amsterdam, Amsterdam, The Netherlands
- Department of Nutrition and Food Science, Rheinische Friedrich-Wilhelms-Universität Bonn, Bonn, Germany
- 3U Diabetes, School of Health and Human Performance, Dublin City University, Dublin, Ireland
- Department of Psychology, University of Konstanz, Konstanz, Germany
- Consumption Research Norway, Oslo and Akershus University College of Applied Sciences, Oslo, Norway
- Department of Prevention & Nutrition, National Institute for Public Health and the Environment, Bilthoven, The Netherlands
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany
- Institute for Biomedicine of Aging, Friedrich-Alexander-Universität Erlangen-Nürnberg, Nuremberg, Germany
- Department of Epidemiology and Biostatistics, Amsterdam Public Health research institute, VU University Medical Center, De Boelelaan 1089a, 1081 HV Amsterdam, The Netherlands
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