A1 |
Merlo et al.3838 Merlo C, Brener N, Kann L, McManus T, Harris D, Mugavero K. School-level practices to increase availability of fruits, vegetables, and whole grains, and reduce sodium in school meals - United States, 2000, 2006, and 2014. MMWR Morb Mortal Wkly Rep 2015; 64(33):905-908. (2015) USA |
School practices to increase the availability of fruits, vegetables and grains and reduce sodium in the school meal - United States of America (USA), 2000, 2006 and 2014. |
To examine the prevalence of practices related to the implementation of nutritional standards in schools. |
Cross-sectional study |
A2 |
Song et al.2020 Song Y, Wang HJ, Ma J, Wang Z. Secular trends of obesity prevalence in urban chinese children from 1985 to 2010: gender disparity. PLoS One 2013; 8(1):e53069. (2013) USA |
Secular trend of the prevalence of obesity in children in China between 1985 and 2010: gender disparity. |
To identify whether the gender difference in obesity has increased or decreased over the past 25 years in Chinese schoolchildren, i.e. whether the rate of increase has been different for boys and girls. |
Cross-sectional study |
A3 |
Mbowe et al.3030 Mbowe O, Diaz A, Wallace J, Mazariegos M, Jolly P. Prevalence of metabolic syndrome and associated cardiovascular risk factors in Guatemalan school children. Matern Child Health J 2014; 18(7):1619-1627. (2014) Guatemala |
Prevalence of metabolic syndrome and associated risk factors in schoolchildren in Guatemala. |
To investigate the prevalence of metabolic syndrome and cardiovascular risk factors associated with metabolic syndrome among schoolchildren of a population of predominantly Mayan descent undergoing rapid urbanization. |
Cross-sectional study |
A4 |
Martinez, Ruelas, Granger1818 Martínez AD, Ruelas L, Granger DA. Association between body mass index and salivary uric acid among Mexican-origin infants, youth and adults: gender and developmental differences. Dev Psychobiol 2017; 59(2):225-234. (2017) USA |
Association between body mass index and salivary uric acid among children, youths and adults of Mexican origin: differences in development and gender. |
To examine how uric acid levels in saliva differ among children of Mexican origin, at different stages of development. |
Cross-sectional study |
A5 |
Ichiho, Robles, Aitaoto2323 Ichiho HM, Robles B, Aitaoto N. An assessment of non-communicable diseases, diabetes, and related risk factors in the Commonwealth of the Northern Mariana Islands: a systems perspective. Hawaii J Med Public Health 2013; 72(5 Suppl. 1):19-29. (2013) North of Iceland |
An assessment of non-communicable diseases, diabetes, and related risk factors, in the community: a systemic perspective. |
To assess the capacity of administrative, clinical, support and data systems to address the problems of NCD, including diabetes and risk factors thereof. |
Cross-sectional study |
A6 |
Ichiho et al.2828 Ichiho HM, Roby FT, Ponausuia ES, Aitaoto N. An assessment of non-communicable diseases, diabetes, and related risk factors in the territory of American Samoa: a systems perspective. Hawaii J Med Public Health 2013; 72(5 Suppl. 1):10-18. (2013) Oceania |
An assessment of non-communicable diseases, diabetes, and related risk factors, in the territory of American Samoa: a systemic perspective. |
To describe the chronic NCD burden, assess capacity and activities related to service rendering, data collection, and reports identifying problems. |
Cross-sectional study |
A7 |
Ichiho et al 2525 Ichiho HM, DeBrum I, Kedi S, Langidrik J, Aitaoto N. An assessment of non-communicable diseases, diabetes, and related risk factors in the Republic of the Marshall Islands, Majuro Atoll: a systems perspective. Hawaii J Med Public Health 2013; 72(5 Suppl. 1):87-97. (2013) Marshall Islands |
An assessment of non-communicable diseases, diabetes, and related risk factors, in the territory of the Republic of the Marshall Islands, Majuro Atoll: a systemic perspective. |
To assess the capacity of administrative, clinical, support and data systems to address the problems of chronic NCD, including diabetes and risk factors thereof. |
Cross-sectional study |
A8 |
Ichiho et al 2929 Ichiho HM, Demei Y, Kuartei S, Aitaoto N. An assessment of non-communicable diseases, diabetes, and related risk factors in the republic of Palau: a systems perspective. Hawaii J Med Public Health 2013; 72(5 Suppl. 1):98-105.. (2013) Palau |
An assessment of non-communicable diseases, diabetes, and related risk factors, in the territory of the Republic of Palau: a systemic perspective. |
To assess the capacity of administrative, clinical, support and data systems to address the problems of chronic NCD, including diabetes and risk factors thereof. |
Cross-sectional study |
A9 |
Ichiho et al. 2626 Ichiho HM, Anson R; Keller E, Lippwe K, Aitaoto N. An assessment of non-communicable diseases, diabetes, and related risk factors in the federated states of Micronesia, State of Pohnpei: a systems perspective. Hawaii J Med Public Health 2013; 72(5 Suppl. 1):49-56. (2013) Micronesia |
An assessment of non-communicable diseases, diabetes, and related risk factors, in the territory of the federated states of Micronesia, State of Pohnpei: a systemic perspective. |
To assess the capacity of administrative, clinical, support and data systems to address the problems of chronic NCD. |
Cross-sectional study |
A10 |
Ichiho et al. 2727 Ichiho HM, Seremai J, Trinidad R, Paul I, Langidrik J, Aitaoto N. An assessment of non-communicable diseases, diabetes and related risk factors in the Republic of the Marshall Islands, Kwajelein Atoll, Ebeye Island: a systems perspective. Hawaii J Med Public Health 2013; 72(5 Suppl. 1):77-86. (2013) Marshall Republic |
An assessment of non-communicable diseases, diabetes, and related risk factors, in the territory of the Republic of the Kwajelein Atoll of Marshall Island, Ebeyve Island: a systemic perspective. |
To assess the capacity of administrative, clinical, support and data systems to address the problems of chronic NCD including diabetes and risk factors thereof. |
Cross-sectional study |
A11 |
Singh, Yu, Kogan2222 Singh GK, Yu SM, Kogan, MD. Health, chronic conditions, and behavioral risk disparities among U.S. immigrant children and adolescents. Public Health Rep 2013; 128(1):463-479. (2013) USA |
Health, chronic conditions and behavioral risk disparities among immigrant children and adolescents in the U.S. |
To examine the different prevalence in 23 countries of health, chronic conditions, and behavioral indicators, among 91,532 children of immigrants and American children. |
Cross-sectional study |
A12 |
Lin et al.1515 LinY, Mouratidou T, Vereecken C, Kersting M, Bolca S, Moraes ACF, Cuenca-García M, Moreno LA, González-Gross M, Valtueña J, Labayen I, Grammatikaki E, Hallstrom L, Leclercq C, Ferrari M, Gottrand F, Beghin L, Manios Y, Ottevaere1 C, Van Oyen H, Molnar D, Kafatos A, Widhalm K, Gómez-Martinez S, Prieto LED, De Henauw S, Huybrechts I. Nutrition Journal 2015, 14(1):10-21. (2015) Stockholm, Athens, Heraklion, Rome, Zaragoza |
Animal and plant protein intake and the association thereof with obesity and cardiometabolic indicators in European adolescents: HELENA a cross-sectional study. |
To evaluate animal and vegetable protein intake among European adolescents stratified by gender and age, and investigating the associations with cardiometabolic indicators (anthropometry and biomarkers). |
Cross-sectional study |
A13 |
Patel et al.3232 Patel SA, Dhillon PK, Kondal D, Jeemon P, Kahol K, Manimunda SP, Purty AJ, Deshpande A, Negi PC, Ladhani S, Toteja GS, Patel V, Prabhakaran D. Chronic disease concordance within Indian households: a cross-sectional study. PLoS Med 2017; 14(9):e1002395. (2017) India |
Chronic disease compliance within Indian households: a cross-sectional study. |
To estimate the association between living with someone with a chronic condition and the chronic condition state per se. |
Cross-sectional study |
A14 |
Passmore et al. 3737 Passmore E, Shepherd B, Milat A, Maher L, Hennessey K, Havrlant R, Maxwel M, Hodge W, Christian F, Richards J, Mitchel J. The impact of a community-led program promoting weight loss and healthy living in Aboriginal communities: the New South Wales Knockout Health Challenge. BMC Public Health 2017; 17(1):951-960. (2017) Australia |
The impact of a community-led program promoting weight loss and healthy living in Aboriginal communities: the 'Knockout' health challenge in New South Wales. |
To identify effective healthy lifestyle programs to address risk factors for chronic diseases among Aboriginal people. |
Health Challenge Knockout |
A15 |
Ekta, Tulika 2121 Ekta G, Tulika MG. Risk factor distribution for cardiovascular diseases among high school boys and girls of urban Dibrugarh, Assam. J Family Med Prim Care 2016; 5(1):108-113. (2016) India |
Distribution of risk factors for cardiovascular diseases among high school boys and girls in the urban area of Dibrugarh Assam. |
To compare the distribution of risk factors among boys and girls in Assam. |
Cross-sectional study |
A16 |
Leatherdale1919 Leatherdale ST. An examination of the co-occurrence of modifiable risk factors associated with chronic disease among youth in the COMPASS study. Cancer causes control 2015; 26(4):519-528. (2015) Canada |
Examination for the occurrence of modifiable risk factors associated with chronic disease among young people in the COMPASS Study. |
To examine the prevalence of risk factors for cancer and how demographic and social factors are associated with the occurrence of risk factors among young people in the COMPASS Study. |
Longitudinal study |
A17 |
Guavamzadeh, Khalkhali, Alizadeh3131 Ghavamzadeh S, Khalkhali HR, Alizadeh M. TV viewing, independent of physical activity and obesogenic foods, increases overweight and obesity in adolescents. J Health Popul Nutr 2013; 31(3):334-342. (2013) Iran |
TV viewing, irrespective of physical activity and obesogenic foods increase overweight and obesity among adolescents. |
To estimate the prevalence of overweight and obesity and associated risk factors in a representative sample of students aged 11 to 20 years. |
Cross-sectional study |
A18 |
Crinall et al.3535 Crinall B, Boyle J, Gibson-Helm M, Esler D, Larkins S, Bailie R. Cardiovascular disease risk in young Indigenous Australians: a snapshot of current preventive health care. Aust N Z J Public Health 2017; 41(5):460-466. (2017) Australia |
Risk of cardiovascular disease among young Indigenous Australians: a current snapshot of preventive healthcare. |
To examine preventive healthcare and registration of type 2 diabetes and risk factors for cardiovascular disease, and management thereof, in young Aboriginal and Torres Strait Islanders (Indigenous Australians) in primary healthcare centers (PHCs). |
Cohort study |
A19 |
Verstraeten et al.3333 Verstraeten R, Leroy JL, Pieniak Z, Ochoa-Avilès A, Holdsworth M, Verbeke W, Maes L, Kolsteren P. Individual and environmental factors influencing adolescents' dietary behavior in low- and middle-income settings. PLoS One 2016; 11(7):e0157744. (2016) Equador |
Individual and environmental factors influencing the eating behavior of low- and middle-income adolescents. |
To test the validity of a conceptual structure. |
Cross-sectional study |
A20 |
Ricci-Cabello et al.3636 Ricci-Cabello I, Stevens S, Kontopantelis E, Dalton ARH, Griffiths RI, Campbell JL, Doran T, Valderas JM. Impact of the prevalence of concordant and discordant conditions on the quality of diabetes care in family practices in England. Ann Fam Med 2015; 13(6):514-522. (2015) England |
Impact of the prevalence of concordant and discordant conditions on the quality of care for diabetes in family practices in England. |
To examine the association between the prevalence of diabetes-concordant and diabetes-discordant conditions and the quality of treatment of this problem at the level of family practice in England. |
Cross-sectional study |
A21 |
Dong et al.1616 Dong B, Wang Z, Wang HJ, Ma J. Population attributable risk of overweight and obesity for high blood pressure in Chinese children. Blood Press 2015; 24(1):230-36. (2015) China |
Associations between adiposity indicators and high blood pressure among Chinese children and adolescents. |
To evaluate the prevalence of the increase of blood pressure using sex/age and the risk attributable to overweight and obesity in Chinese children between 7 and 17 years of age. |
Stratified multistage sampling study |
A22 |
Ortega et al.2424 Ortega FB, Konstabel K, Pasquali E, Ruiz JR, Hurtig-Wennlo A, Maestu J, Lof M, Harro J, Bellocco R, Labayen I, Veidebaum T, Sjostrom M. Objectively measured physical activity and sedentary time during childhood, adolescence and young adulthood: a cohort study. PLoS One 2013; 8(4):e60871. (2013) Italy, Switzerland, Estonia and Spain |
Objectively measured physical activity and sedentary time during childhood, adolescence and youth: a cohort study. |
To study changes in objective measures (accelerometry), moderate to vigorous physical activity and sedentary time from childhood to adolescence and from adolescence to young adulthood. |
Longitudinal cohort study |
A23 |
Gulati et al.3434 Gulati S, Misra A, Colles SL, Kondal D, Gupta N, Goel K, Bansal S, Mishra M, Madkaikar V, Bhardwaj S. Dietary intakes and familial correlates of overweight/obesity: a four-cities study in India. Ann nutr metab 2013; 62(4):279-290. (2013) India |
Dietary intake and related family issues of overweight/ obesity: a study of four cities in India. |
To evaluate knowledge, attitude and practice of nutrition, physical activity, and other lifestyles, in a nationally representative sample of urban mothers and children in India. |
Cross-sectional study |
A24 |
Nianogo et al.3939 Nianogo RA, Kuo T, Smith LV, Arah OA. Associations between self-perception of weight, food choice intentions, and consumer response to calorie information: a retrospective investigation of public health center clients in Los Angeles County before the implementation of menu labeling regulation. BMC Public Health 2016; 16:60-69. (2016) USA |
Associations between self-perception of weight, food choice intentions and consumer response to caloric information: a retrospective investigation of public health center customers in Los Angeles County prior to the implementation of labeling regulations on menus. |
To examine self-perceived associations of weight (measured by body weight) with food choice intentions and consumer response to calorie information among low-income adults during the era of menu-labelling regulation. |
Cross-sectional study |
A25 |
Dong et al.1717 Dong B,Wang Z, Wang HJ. Ma J. Associations between adiposity indicators and elevated blood pressure among Chinese children and adolescents. J Hum Hypertens 2015; 29:236-240. (2015) China |
Risk of high blood pressure in overweight and obese Chinese children. |
To estimate the contribution of overweight and obesity associated with high blood pressure in Chinese children. |
Stratified multistage sampling study |