Percentage of respondents who reported reading food labels to check for information on food additives (n = 1038).

A consumer survey on food additives

Altu T.
Elmaci Y.

January 1995

Consumers knowledge and opinions on food additives were evaluated by using a combined questionnaire ...

Prevalence (n (%)) of type of food reported as cause of food hypersensitivity (n = 2,307).

Antonios Patelis (508295)
Maria Gunnbjörnsdottir (508296)
Magnus P. Borres (290059)
Peter Burney (59835)
Thorarinn Gislason (508297)
Kjell Torén (168121)
Bertil Forsberg (62630)
Kjell Alving (508298)
Andrei Malinovschi (168111)
Christer Janson (83414)

January 2014

Prevalence (n (%)) of type of food reported as cause of food hypersensitivity (n = 2,307).</p

Consumers’ knowledge of food label information: an exploratory investigation in Potchefstroom, South Africa

Van der Merwe, Daleen
Bosman, Magdalena
Ellis, Suria
De Beer, Hanli
Mielmann, Annchen

January 2012

Objective To determine the ability of consumers to: locate and manipulate food label information; as...

The percentage of respondents who recognize the different food additives (n = 1038).

Tareq M. Osaili (9324412)
Reyad S. Obaid (9324415)
Sanaa A. I. Alkayyali (14724991)
Hind Ayman (14724994)
Sara M. Bunni (14724997)
Shaema B. Alkhaled (14725000)
Fayeza Hasan (12357205)
Maysm N. Mohamad (3152517)
Leila Cheikh Ismail (3152526)

March 2023

The percentage of respondents who recognize the different food additives (n = 1038).</p

The percentage of respondents who believed about the presence of food addtives in different food items (n = 1038).

Tareq M. Osaili (9324412)
Reyad S. Obaid (9324415)
Sanaa A. I. Alkayyali (14724991)
Hind Ayman (14724994)
Sara M. Bunni (14724997)
Shaema B. Alkhaled (14725000)
Fayeza Hasan (12357205)
Maysm N. Mohamad (3152517)
Leila Cheikh Ismail (3152526)

March 2023

The percentage of respondents who believed about the presence of food addtives in different food ite...

The information about food additives the consumers would like to see (n = 1038).

Tareq M. Osaili (9324412)
Reyad S. Obaid (9324415)
Sanaa A. I. Alkayyali (14724991)
Hind Ayman (14724994)
Sara M. Bunni (14724997)
Shaema B. Alkhaled (14725000)
Fayeza Hasan (12357205)
Maysm N. Mohamad (3152517)
Leila Cheikh Ismail (3152526)

March 2023

The information about food additives the consumers would like to see (n = 1038).</p

Percentage distribution of respondents into various categories of food security.

Ashish Joshi (6541886)
Arushi Arora (6541889)
Chioma Amadi-Mgbenka (6541892)
Nidhi Mittal (6541895)
Shruti Sharma (308114)
Bhavya Malhotra (6541898)
Ashoo Grover (6541901)
Archa Misra (6541904)
Menka Loomba (6541907)

April 2019

This figure describes the proportion of participants in each food insecurity category.</p

Food labelling and opinion of consumers

Barakauskaitė, Indrė

June 2017

The most common violations were incorrect noted components, allergens and food intolerances provoked...

Plots the percentage of each type of nutritional label that has been fixated as a function of viewing time.

Laura Bix (319414)
Raghav Prashant Sundar (319411)
Nora M. Bello (319413)
Chad Peltier (816779)
Lorraine J. Weatherspoon (816780)
Mark W. Becker (319412)

October 2015

Data were collapsed across participants so the percentage was based on the number of labels fixat...

Percentage of correct answers of each FOP label, across sub-groups of population (N = 3,751).

Manon Egnell (5089007)
Pauline Ducrot (819301)
Mathilde Touvier (126833)
Benjamin Allès (3427565)
Serge Hercberg (126835)
Emmanuelle Kesse-Guyot (111555)
Chantal Julia (466959)

August 2018

Percentage of correct answers of each FOP label, across sub-groups of population (N = 3,751).</p

Consumer use of nutrition labels compared with eating habits

Longley, Shana Mayerson

August 1978

Includes bibliographical references (pages 100-104)Nutrition labeling of food products was implement...

Percentage of food secure and food insecure households for different samples.

Lei Xu (78676)
Zoë Plakias (17935585)
Andrew S. Hanks (17935588)
Jennifer Garner (3914468)

February 2024

Percentage of food secure and food insecure households for different samples.</p

The different sources of respondent knowledge about food additives (n = 1038).

Tareq M. Osaili (9324412)
Reyad S. Obaid (9324415)
Sanaa A. I. Alkayyali (14724991)
Hind Ayman (14724994)
Sara M. Bunni (14724997)
Shaema B. Alkhaled (14725000)
Fayeza Hasan (12357205)
Maysm N. Mohamad (3152517)
Leila Cheikh Ismail (3152526)

March 2023

The different sources of respondent knowledge about food additives (n = 1038).</p

Percentage of participants classified into the same, same or adjacent, or opposite quartile with the pre-coded food diary (PFD) and the weighed record (WR) (n = 114).

Jannicke Borch Myhre (5703113)
Anne Marte Wetting Johansen (5703116)
Anette Hjartåker (3566018)
Lene Frost Andersen (4097176)

August 2018

Percentage of participants classified into the same, same or adjacent, or opposite quartile with the...

Fruit and nut intake in the study population, according to their preferences (% of participants reporting regular intake).

Maria Luisa Somoza (8600379)
Natalia Pérez-Sánchez (8737680)
Laura Victorio-Puche (11302392)
Laura Martín-Pedraza (11302395)
Angel Esteban Rodríguez (11302398)
Natalia Blanca-López (119983)
Eva Abel Fernández González (11302401)
María Ruano-Zaragoza (11302404)
Ana Prieto-Moreno Pfeifer (11302407)
Enrique Fernández Caldas (11302410)
Miriam Morán Morales (11302413)
Francisco Javier Fernández Sánchez (11302416)
José Damián López Sánchez (11302419)
Teodorikez Wilfox Jiménez Rodríguez (11302422)
José Luis Subiza Garrido-Lestache (11302425)
Gabriela Canto Díez (11302428)
Miguel Blanca Gómez (11302431)
José Antonio Cornejo-García (11302434)

August 2021

Fruit and nut intake in the study population, according to their preferences (% of participants repo...

A consumer survey on food additives

Altu T.
Elmaci Y.

January 1995

Consumers knowledge and opinions on food additives were evaluated by using a combined questionnaire ...

Prevalence (n (%)) of type of food reported as cause of food hypersensitivity (n = 2,307).

Antonios Patelis (508295)
Maria Gunnbjörnsdottir (508296)
Magnus P. Borres (290059)
Peter Burney (59835)
Thorarinn Gislason (508297)
Kjell Torén (168121)
Bertil Forsberg (62630)
Kjell Alving (508298)
Andrei Malinovschi (168111)
Christer Janson (83414)

January 2014

Prevalence (n (%)) of type of food reported as cause of food hypersensitivity (n = 2,307).</p

Consumers’ knowledge of food label information: an exploratory investigation in Potchefstroom, South Africa

Van der Merwe, Daleen
Bosman, Magdalena
Ellis, Suria
De Beer, Hanli
Mielmann, Annchen

January 2012

Objective To determine the ability of consumers to: locate and manipulate food label information; as...

The percentage of respondents who recognize the different food additives (n = 1038).

Tareq M. Osaili (9324412)
Reyad S. Obaid (9324415)
Sanaa A. I. Alkayyali (14724991)
Hind Ayman (14724994)
Sara M. Bunni (14724997)
Shaema B. Alkhaled (14725000)
Fayeza Hasan (12357205)
Maysm N. Mohamad (3152517)
Leila Cheikh Ismail (3152526)

March 2023

The percentage of respondents who recognize the different food additives (n = 1038).</p

The percentage of respondents who believed about the presence of food addtives in different food items (n = 1038).

Tareq M. Osaili (9324412)
Reyad S. Obaid (9324415)
Sanaa A. I. Alkayyali (14724991)
Hind Ayman (14724994)
Sara M. Bunni (14724997)
Shaema B. Alkhaled (14725000)
Fayeza Hasan (12357205)
Maysm N. Mohamad (3152517)
Leila Cheikh Ismail (3152526)

March 2023

The percentage of respondents who believed about the presence of food addtives in different food ite...

The information about food additives the consumers would like to see (n = 1038).

Tareq M. Osaili (9324412)
Reyad S. Obaid (9324415)
Sanaa A. I. Alkayyali (14724991)
Hind Ayman (14724994)
Sara M. Bunni (14724997)
Shaema B. Alkhaled (14725000)
Fayeza Hasan (12357205)
Maysm N. Mohamad (3152517)
Leila Cheikh Ismail (3152526)

March 2023

The information about food additives the consumers would like to see (n = 1038).</p

Percentage distribution of respondents into various categories of food security.

Ashish Joshi (6541886)
Arushi Arora (6541889)
Chioma Amadi-Mgbenka (6541892)
Nidhi Mittal (6541895)
Shruti Sharma (308114)
Bhavya Malhotra (6541898)
Ashoo Grover (6541901)
Archa Misra (6541904)
Menka Loomba (6541907)

April 2019

This figure describes the proportion of participants in each food insecurity category.</p

Food labelling and opinion of consumers

Barakauskaitė, Indrė

June 2017

The most common violations were incorrect noted components, allergens and food intolerances provoked...

Plots the percentage of each type of nutritional label that has been fixated as a function of viewing time.

Laura Bix (319414)
Raghav Prashant Sundar (319411)
Nora M. Bello (319413)
Chad Peltier (816779)
Lorraine J. Weatherspoon (816780)
Mark W. Becker (319412)

October 2015

Data were collapsed across participants so the percentage was based on the number of labels fixat...

Percentage of correct answers of each FOP label, across sub-groups of population (N = 3,751).

Manon Egnell (5089007)
Pauline Ducrot (819301)
Mathilde Touvier (126833)
Benjamin Allès (3427565)
Serge Hercberg (126835)
Emmanuelle Kesse-Guyot (111555)
Chantal Julia (466959)

August 2018

Percentage of correct answers of each FOP label, across sub-groups of population (N = 3,751).</p

Consumer use of nutrition labels compared with eating habits

Longley, Shana Mayerson

August 1978

Includes bibliographical references (pages 100-104)Nutrition labeling of food products was implement...

Percentage of food secure and food insecure households for different samples.

Lei Xu (78676)
Zoë Plakias (17935585)
Andrew S. Hanks (17935588)
Jennifer Garner (3914468)

February 2024

Percentage of food secure and food insecure households for different samples.</p

The different sources of respondent knowledge about food additives (n = 1038).

Tareq M. Osaili (9324412)
Reyad S. Obaid (9324415)
Sanaa A. I. Alkayyali (14724991)
Hind Ayman (14724994)
Sara M. Bunni (14724997)
Shaema B. Alkhaled (14725000)
Fayeza Hasan (12357205)
Maysm N. Mohamad (3152517)
Leila Cheikh Ismail (3152526)

March 2023

The different sources of respondent knowledge about food additives (n = 1038).</p

Percentage of participants classified into the same, same or adjacent, or opposite quartile with the pre-coded food diary (PFD) and the weighed record (WR) (n = 114).

Jannicke Borch Myhre (5703113)
Anne Marte Wetting Johansen (5703116)
Anette Hjartåker (3566018)
Lene Frost Andersen (4097176)

August 2018

Percentage of participants classified into the same, same or adjacent, or opposite quartile with the...

Fruit and nut intake in the study population, according to their preferences (% of participants reporting regular intake).

Maria Luisa Somoza (8600379)
Natalia Pérez-Sánchez (8737680)
Laura Victorio-Puche (11302392)
Laura Martín-Pedraza (11302395)
Angel Esteban Rodríguez (11302398)
Natalia Blanca-López (119983)
Eva Abel Fernández González (11302401)
María Ruano-Zaragoza (11302404)
Ana Prieto-Moreno Pfeifer (11302407)
Enrique Fernández Caldas (11302410)
Miriam Morán Morales (11302413)
Francisco Javier Fernández Sánchez (11302416)
José Damián López Sánchez (11302419)
Teodorikez Wilfox Jiménez Rodríguez (11302422)
José Luis Subiza Garrido-Lestache (11302425)
Gabriela Canto Díez (11302428)
Miguel Blanca Gómez (11302431)
José Antonio Cornejo-García (11302434)

August 2021

Fruit and nut intake in the study population, according to their preferences (% of participants repo...

A consumer survey on food additives

Altu T.
Elmaci Y.

January 1995

Consumers knowledge and opinions on food additives were evaluated by using a combined questionnaire ...

Prevalence (n (%)) of type of food reported as cause of food hypersensitivity (n = 2,307).

Antonios Patelis (508295)
Maria Gunnbjörnsdottir (508296)
Magnus P. Borres (290059)
Peter Burney (59835)
Thorarinn Gislason (508297)
Kjell Torén (168121)
Bertil Forsberg (62630)
Kjell Alving (508298)
Andrei Malinovschi (168111)
Christer Janson (83414)

January 2014

Prevalence (n (%)) of type of food reported as cause of food hypersensitivity (n = 2,307).</p

Consumers’ knowledge of food label information: an exploratory investigation in Potchefstroom, South Africa

Van der Merwe, Daleen
Bosman, Magdalena
Ellis, Suria
De Beer, Hanli
Mielmann, Annchen

January 2012

Objective To determine the ability of consumers to: locate and manipulate food label information; as...

Percentage of respondents who reported reading food labels to check for information on food additives (n = 1038).

Abstract

Extracted data

Percentage of respondents who reported reading food labels to check for information on food additives (n = 1038).

Abstract

Extracted data

Related items

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