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18. Are dietary diversity scores related to the socio-economic and anthropometric status of women living in an urban area in Burkina Faso?

Author

Savy M, Martin-Prevel Y, Danel P, Traissac P, Dabire HB, Delpeuch F, Savy, M, Martin-Prével, Y, Danel, P, Traissac, P, Dabiré, Hb, and Delpeuch, F

Abstract

Objectives: To study dietary diversity and its relationship with socio-economic and nutritional characteristics of women in an urban Sahelian context.Design: A qualitative dietary recall was performed over a 24-h period. Dietary diversity scores (DDS = number of food groups consumed) were calculated from a list of nine food groups (DDS-9) or from a list of 22 food groups (DDS-22) which detailed both micronutrient- and energy-dense foods more extensively. Body mass index (BMI), mid upper-arm circumference and body fat percentage were used to assess the nutritional status of the women.Setting and Subjects: Five hundred and fifty-seven women randomly selected in two districts of Ouagadougou, the capital of Burkina Faso.Results: The mean DDS-9 and DDS-22 were 4.9 +/- 1.0 and 6.5 +/- 1.8 food groups, respectively. In the high tertile of DDS-22, more women consumed fatty and sweetened foods, fresh fish, non-fatty meat and vitamin-A-rich fruits and vegetables. The DDS-9 was not associated with the women's socio-economic characteristics whereas the DDS-22 was higher when the women were younger, richer and had received at least a minimum education. Mean BMI of the women was 24.2 +/- 4.9 kg m-2 and 37% of them were overweight or obese (BMI > or = 25 kg m-2). Neither the DDS-9 nor the DDS-22 was associated with the women's anthropometric status, even though there was a trend towards fewer overweight women in the lowest tertile of DDS-22.Conclusion: In this urban area, the qualitative measurement of dietary diversity is not sufficient to identify women at risk of under- or overweight. [ABSTRACT FROM AUTHOR]

Published
2008
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21. Health and behaviours of Tunisian school youth in an era of rapid epidemiological transition.

Author

Aounallah-Skhiri H, Ben Romdhane H, Maire B, Elkhdim H, Eymard-Duvernay S, Delpeuch F, and Achour N

Abstract

To assess youth health behaviours and related quality of life in urban Tunisia, we conducted a cross-sectional survey of a representative sample of 699 secondary-school students. The overweight rate was 20.7%. Most of the sample had an insufficient level of physical activity and were unfamiliar with the recommended frequency of moderate physical activity. Norm-based scores of psychological state were about average, slightly better for boys than girls. Girls perceived themselves to be more stressed than boys. Of all students, 35% declared having smoked a cigarette and 14% having drunk alcohol at least once in their lives. The main sources of health education were mass media (59%) and medical staff (36%). [ABSTRACT FROM AUTHOR]

Published
2009

23. Knowledge of dietary and behaviour-related determinants of non-communicable disease in urban Senegalese women.

Author

Holdsworth M, Delpeuch F, Landais E, Gartner A, Eymard-Duvernay S, Maire B, Holdsworth, Michelle, Delpeuch, Francis, Landais, Edwige, Gartner, Agnès, Eymard-Duvernay, Sabrina, and Maire, Bernard

Abstract

Objective: To assess knowledge of dietary and behaviour-related determinants of non-communicable disease (NCD) of urban Senegalese women.Design: A cross-sectional, population study using an interviewer-administered knowledge questionnaire, developed and validated for this study. The questionnaire consisted of 24 items with six scores measuring knowledge of: (1) diet- and behaviour-related causes of NCD; (2) diet quality-NCD relationship; (3) fruit and vegetable link with NCD; (4) health consequences of obesity; (5) causes of cardiovascular disease (CVD); and (6) causes of certain cancers.Subjects: A random sample of 301 women aged 20-50 years.Results: The knowledge scores developed suggest that the health consequences of obesity (mean score of 65.4%) were best understood followed by causes of CVD (mean score of 60.6%), because obesity, smoking, high blood cholesterol and dietary fat were well recognised as risk factors for CVD. Subjects scored least for their knowledge of the protective effect of fruit and vegetables (mean score of 19.9%). Knowledge of causes of certain cancers (mean score of 36.1%) was also low. Women who worked outside the home had better knowledge for two scores but otherwise no relationship was found between knowledge and literacy, formal education or body mass index.Conclusions: Findings suggest reasonable overall knowledge concerning diet and behaviour with NCD, especially given the relatively new context of the obesity epidemic in Senegal. However, there was poor knowledge of the benefit of eating fruit and vegetables and other preventable causes of certain cancers. Education targeting the benefits of vegetables and fruit may have the greatest impact on NCD prevention. [ABSTRACT FROM AUTHOR]

Published
2006
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25. Deterioration in the nutritional status of young children and their mothers in Brazzaville, Congo...

Author

Martin-Prevel, Y. and Delpeuch, F.

Subjects
*MOTHER-child relationship, *NUTRITION, *HEALTH surveys
Abstract

Discusses the cross-sectional surveys conducted before and after the CFA franc devaluation focusing on the nutritional status of young children and their mothers in two districts of Brazzaville, Congo. Changes in population's economic and health situation; Changes in breastfeeding complementary feeding practices.

Published
2000

26. Effect of early, short-term supplementation on weight and linear growth of 4-7-mo-old infants in developing countries: a four-country randomized trial.

Author

Simondon KB, Gartner A, Berger J, Cornu A, Massamba J, San Miguel JL, Ly C, Missotte I, Simondon F, Traissac P, Delpeuch F, and Maire B

Abstract

The effect of supplementation on growth was tested by means of four similar controlled randomized trials in the Congo (n = 120), Senegal (n = 110), Bolivia (n = 127), and New Caledonia (n = 90). Four-month-old infants were randomly allocated to supplement or control groups. A cereal-based precooked porridge was offered twice daily for 3 mo and consumption was monitored. Both groups were free to eat local food. At 7 mo of age, all infants were still breast-fed in the Congo, Senegal, and Bolivia compared with 47% in New Caledonia. Mean daily consumption of the supplement varied among countries (558-790 kJ/d). Mean length at 4 mo was lowest in Bolivia, higher in Senegal and the Congo, and near the National Center for Health Statistics reference in New Caledonia. The mean 4 7-mo length increment was 0.48 cm higher for supplemented than for control infants in Senegal (P < 0.05), whereas weight increments did not differ. No significant effect was found in the other countries. (c) 1996 American Society for Clinical Nutrition [ABSTRACT FROM AUTHOR]

Published
1996
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27. Nutritional change and economic crisis in an urban Congolese community.

Author

CORNU, A, MASSAMBA, J P, TRAISSAC, P, SIMONDON, F, VILLENEUVE, P, and DELPEUCH, F

Abstract

Background: In 1986, the government of Congo undertook a structural adjustment programme to cope with the economic crisis. We present the results of a study whose objectives were to assess the evolution of nutritional status of an urban community between 1986 and 1991 and to identify specific groups for which the nutritional status may have worsened.Methods: Two cross-sectional surveys were carried out on representative samples of Brazzaville children < 6 years old: 2295 children were surveyed in 1986 and 2373 in 1991. Anthropometric assessment of nutritional status was performed. For children, weight-for-height and height-for-age indices were used according to WHO recommendations. Wasting and stunting were respectively defined as indices under -2 z-scores. Body mass index of mothers was calculated and risk of chronic energy deficiency (CED) was defined as < 18.5 kg/m2. Socioeconomic data relative to the households were also collected. Multivariate statistical methods were used to obtain adjusted estimates of nutritional changes in the community.Results: Data analysis led to several converging results: increase in the percentage of low birthweight (10.2% in 1985 versus 18.7% in 1990), increase in the percentage of CED (from 7.9% to 10.5%), and increase in the prevalence of wasting (from 2.9% to 4.2%). By contrast, the overall prevalence of stunting decreased from 13.9% to 11.0%. After statistical adjustment, the factors found to influence the evolution of anthropometric status were: age of child, age of mother, schooling of mother and household characteristics such as number of preschool children, economic level and head of household's occupation.Conclusions: The study enables the negative effects of the economic crisis to be quantified. Body mass index is shown to be sensitive to economic changes. It could be recommended as a possible indicator for monitoring the nutritional status at population level. The results also call for a new impetus in preventive health programmes and the implementation of nutritional surveillance activities. [ABSTRACT FROM AUTHOR]

Published
1995
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33. Height and body-mass index trajectories of school-aged children and adolescents from 1985 to 2019 in 200 countries and territories: a pooled analysis of 2181 population-based studies with 65 million participants

Author

Rodriguez-Martinez, Andrea, Zhou, Bin, Sophiea, Marisa K, Bentham, James, Paciorek, Christopher J, Iurilli, Maria LC, Carrillo-Larco, Rodrigo M, Bennett, James E, Di Cesare, Mariachiara, Taddei, Cristina, Bixby, Honor, Stevens, Gretchen A, Riley, Leanne M, Cowan, Melanie J, Savin, Stefan, Danaei, Goodarz, Chirita-Emandi, Adela, Kengne, Andre P, Khang, Young-Ho, Laxmaiah, Avula, Malekzadeh, Reza, Miranda, J Jaime, Moon, Jin Soo, Popovic, Stevo R, Sorensen, Thorkild IA, Soric, Maroje, Starc, Gregor, Zainuddin, Ahmad A, Gregg, Edward W, Bhutta, Zulfiqar A, Black, Robert, Ezzati, Majid, Abarca-Gomez, Leandra, Abdeen, Ziad A, Abdrakhmanova, Shynar, Ghaffar, Suhaila Abdul, Rahim, Hanan F Abdul, Abu-Rmeileh, Niveen M, Garba, Jamila Abubakar, Acosta-Cazares, Benjamin, Adams, Robert J, Aekplakorn, Wichai, Afsana, Kaosar, Afzal, Shoaib, Agdeppa, Imelda A, Aghazadeh-Attari, Javad, Aguilar-Salinas, Carlos A, Agyemang, Charles, Ahmad, Mohamad Hasnan, Ahmad, Noor Ani, Ahmadi, Ali, Ahmadi, Naser, Ahmed, Soheir H, Ahrens, Wolfgang, Aitmurzaeva, Gulmira, Ajlouni, Kamel, Al-Hazzaa, Hazzaa M, Al-Othman, Amani Rashed, Al-Raddadi, Rajaa, Alarouj, Monira, AlBuhairan, Fadia, AlDhukair, Shahla, Ali, Mohamed M, Alkandari, Abdullah, Alkerwi, Ala'a, Allin, Kristine, Alvarez-Pedrerol, Mar, Aly, Eman, Amarapurkar, Deepak N, Amiri, Parisa, Amougou, Norbert, Amouyel, Philippe, Andersen, Lars Bo, Anderssen, Sigmund A, Angquist, Lars, Anjana, Ranjit Mohan, Ansari-Moghaddam, Alireza, Aounallah-Skhiri, Hajer, Araujo, Joana, Ariansen, Inger, Aris, Tahir, Arku, Raphael E, Arlappa, Nimmathota, Aryal, Krishna K, Aspelund, Thor, Assah, Felix K, Assuncao, Maria Cecilia F, Aung, May Soe, Auvinen, Juha, Avdicova, Maria, Azevedo, Ana, Azimi-Nezhad, Mohsen, Azizi, Fereidoun, Azmin, Mehrdad, Babu, Bontha V, Jorgensen, Maja Baeksgaard, Baharudin, Azli, Bahijri, Suhad, Baker, Jennifer L, Balakrishna, Nagalla, Bamoshmoosh, Mohamed, Banach, Maciej, Bandosz, Piotr, Banegas, Jose R, Baran, Joanna, Barbagallo, Carlo M, Barcelo, Alberto, Barkat, Amina, Barros, Aluisio JD, Barros, Mauro Virgilio Gomes, Basit, Abdul, Bastos, Joao Luiz D, Bata, Iqbal, Batieha, Anwar M, Batista, Rosangela L, Battakova, Zhamilya, Batyrbek, Assembekov, Baur, Louise A, Beaglehole, Robert, Bel-Serrat, Silvia, Belavendra, Antonisamy, Ben Romdhane, Habiba, Benedics, Judith, Benet, Mikhail, Berkinbayev, Salim, Bernabe-Ortiz, Antonio, Bernotiene, Gailute, Bettiol, Heloisa, Bezerra, Jorge, Bhagyalaxmi, Aroor, Bharadwaj, Sumit, Bhargava, Santosh K, Bi, Hongsheng, Bi, Yufang, Bia, Daniel, Lele, Elysee Claude Bika, Bikbov, Mukharram M, Bista, Bihungum, Bjelica, Dusko J, Bjerregaard, Peter, Bjertness, Espen, Bjertness, Marius B, Bjorkelund, Cecilia, Bloch, Katia V, Blokstra, Anneke, Bo, Simona, Bobak, Martin, Boddy, Lynne M, Boehm, Bernhard O, Boeing, Heiner, Boggia, Jose G, Bogova, Elena, Boissonnet, Carlos P, Bojesen, Stig E, Bonaccio, Marialaura, Bongard, Vanina, Bonilla-Vargas, Alice, Bopp, Matthias, Borghs, Herman, Bovet, Pascal, Braeckevelt, Lien, Braeckman, Lutgart, Bragt, Marjolijn CE, Brajkovich, Imperia, Branca, Francesco, Breckenkamp, Juergen, Breda, Joao, Brenner, Hermann, Brewster, Lizzy M, Brian, Garry R, Brinduse, Lacramioara, Brophy, Sinead, Bruno, Graziella, Bueno-de-Mesquita, H Bas, Bugge, Anna, Buoncristiano, Marta, Burazeri, Genc, Burns, Con, de Leon, Antonio Cabrera, Cacciottolo, Joseph, Cai, Hui, Cama, Tilema, Cameron, Christine, Camolas, Jose, Can, Gunay, Candido, Ana Paula C, Canete, Felicia, Capanzana, Mario V, Capkova, Nadezda, Capuano, Eduardo, Capuano, Vincenzo, Cardol, Marloes, Cardoso, Viviane C, Carlsson, Axel C, Carmuega, Esteban, Carvalho, Joana, Casajus, Jose A, Casanueva, Felipe F, Celikcan, Ertugrul, Censi, Laura, Cervantes-Loaiza, Marvin, Cesar, Juraci A, Chamukuttan, Snehalatha, Chan, Angelique W, Chan, Queenie, Chaturvedi, Himanshu K, Chaturvedi, Nish, Rahim, Norsyamlina Che Abdul, Chen, Chien-Jen, Chen, Fangfang, Chen, Huashuai, Chen, Shuohua, Chen, Zhengming, Cheng, Ching-Yu, Cheraghian, Bahman, Chetrit, Angela, Chikova-Iscener, Ekaterina, Chiolero, Arnaud, Chiou, Shu-Ti, Chirlaque, Maria-Dolores, Cho, Belong, Christensen, Kaare, Christofaro, Diego G, Chudek, Jerzy, Cifkova, Renata, Cilia, Michelle, Cinteza, Eliza, Claessens, Frank, Clarke, Janine, Clays, Els, Cohen, Emmanuel, Concin, Hans, Confortin, Susana C, Cooper, Cyrus, Coppinger, Tara C, Corpeleijn, Eva, Costanzo, Simona, Cottel, Dominique, Cowell, Chris, Craig, Cora L, Crampin, Amelia C, Crujeiras, Ana B, Csilla, Semanova, Cucu, Alexandra M, Cui, Liufu, Cureau, Felipe V, D'Arrigo, Graziella, d'Orsi, Eleonora, Dacica, Liliana, Saavedra, Maria Angeles Dal Re, Dallongeville, Jean, Damasceno, Albertino, Damsgaard, Camilla T, Dankner, Rachel, Dantoft, Thomas M, Dasgupta, Parasmani, Dastgiri, Saeed, Dauchet, Luc, Davletov, Kairat, De Backer, Guy, De Bacquer, Dirk, de Gaetano, Giovanni, De Henauw, Stefaan, de Oliveira, Paula Duarte, De Ridder, David, De Ridder, Karin, de Rooij, Susanne R, De Smedt, Delphine, Deepa, Mohan, Deev, Alexander D, DeGennaro, Vincent, Dehghan, Abbas, Delisle, Helene, Delpeuch, Francis, Demarest, Stefaan, Dennison, Elaine, Deren, Katarzyna, Deschamps, Valerie, Dhana, Klodian, Dhimal, Meghnath, Di Castelnuovo, Augusto F, Dias-da-Costa, Juvenal Soares, Diaz-Sanchez, Maria Elena, Diaz, Alejandro, Dika, Zivka, Djalalinia, Shirin, Djordjic, Visnja, Do, Ha TP, Dobson, Annette J, Donati, Maria Benedetta, Donfrancesco, Chiara, Donoso, Silvana P, Doring, Angela, Dorobantu, Maria, Dorosty, Ahmad Reza, Doua, Kouamelan, Drygas, Wojciech, Duan, Jia Li, Duante, Charmaine A, Duboz, Priscilla, Duda, Rosemary B, Duleva, Vesselka, Dulskiene, Virginija, Dumith, Samuel C, Dushpanova, Anar, Dzerve, Vilnis, Dziankowska-Zaborszczyk, Elzbieta, Eddie, Ricky, Eftekhar, Ebrahim, Egbagbe, Eruke E, Eggertsen, Robert, Eghtesad, Sareh, Eiben, Gabriele, Ekelund, Ulf, El-Khateeb, Mohammad, El Ati, Jalila, Eldemire-Shearer, Denise, Eliasen, Marie, Elliott, Paul, Engle-Stone, Reina, Enguerran, Macia, Erasmus, Rajiv T, Erbel, Raimund, Erem, Cihangir, Eriksen, Louise, Eriksson, Johan G, Escobedo-de la Pena, Jorge, Eslami, Saeid, Esmaeili, Ali, Evans, Alun, Faeh, David, Fakhretdinova, Albina A, Fall, Caroline H, Faramarzi, Elnaz, Farjam, Mojtaba, Sant'Angelo, Victoria Farrugia, Farzadfar, Farshad, Fattahi, Mohammad Reza, Fawwad, Asher, Felix-Redondo, Francisco J, Ferguson, Trevor S, Fernandes, Romulo A, Fernandez-Berges, Daniel, Ferrante, Daniel, Ferrao, Thomas, Ferrari, Marika, Ferrario, Marco M, Ferreccio, Catterina, Ferrer, Eldridge, Ferrieres, Jean, Figueiro, Thamara Hubler, Fijalkowska, Anna, Fink, Gunther, Fischer, Krista, Foger, Bernhard, Foo, Leng Huat, Forsner, Maria, Fouad, Heba M, Francis, Damian K, Franco, Maria do Carmo, Franco, Oscar H, Frikke-Schmidt, Ruth, Frontera, Guillermo, Fuchs, Flavio D, Fuchs, Sandra C, Fujiati, Isti I, Fujita, Yuki, Fumihiko, Matsuda, Furusawa, Takuro, Gaciong, Zbigniew, Gafencu, Mihai, Galbarczyk, Andrzej, Galenkamp, Henrike, Galeone, Daniela, Galfo, Myriam, Galvano, Fabio, Gao, Jingli, Garcia-de-la-Hera, Manoli, Garcia-Solano, Marta, Gareta, Dickman, Garnett, Sarah P, Gaspoz, Jean-Michel, Gasull, Magda, Gaya, Adroaldo Cesar Araujo, Gaya, Anelise Reis, Gazzinelli, Andrea, Gehring, Ulrike, Geiger, Harald, Geleijnse, Johanna M, Ghanbari, Ali, Ghasemi, Erfan, Gheorghe-Fronea, Oana-Florentina, Giampaoli, Simona, Gianfagna, Francesco, Gill, Tiffany K, Giovannelli, Jonathan, Gironella, Glen, Giwercman, Aleksander, Gkiouras, Konstantinos, Godos, Justyna, Gogen, Sibel, Goldsmith, Rebecca A, Goltzman, David, Gomez, Santiago F, Gomula, Aleksandra, da Silva, Bruna Goncalves Cordeiro, Goncalves, Helen, Gonzalez-Chica, David A, Gonzalez-Gross, Marcela, Gonzalez-Leon, Margot, Gonzalez-Rivas, Juan P, Gonzalez-Villalpando, Clicerio, Gonzalez-Villalpando, Maria-Elena, Gonzalez, Angel R, Gottrand, Frederic, Graca, Antonio Pedro, Graff-Iversen, Sidsel, Grafnetter, Dusan, Grajda, Aneta, Grammatikopoulou, Maria G, Gregor, Ronald D, Grodzicki, Tomasz, Groholt, Else Karin, Grontved, Anders, Grosso, Giuseppe, Gruden, Gabriella, Gu, Dongfeng, Gualdi-Russo, Emanuela, Guallar-Castillon, Pilar, Gualtieri, Andrea, Gudmundsson, Elias F, Gudnason, Vilmundur, Guerrero, Ramiro, Guessous, Idris, Guimaraes, Andre L, Gulliford, Martin C, Gunnlaugsdottir, Johanna, Gunter, Marc J, Guo, Xiu-Hua, Guo, Yin, Gupta, Prakash C, Gupta, Rajeev, Gureje, Oye, Gurzkowska, Beata, Gutierrez-Gonzalez, Enrique, Gutierrez, Laura, Gutzwiller, Felix, Ha, Seongjun, Hadaegh, Farzad, Hadjigeorgiou, Charalambos A, Haghshenas, Rosa, Hakimi, Hamid, Halkjaer, Jytte, Hambleton, Ian R, Hamzeh, Behrooz, Hange, Dominique, Hanif, Abu AM, Hantunen, Sari, Kumar, Rachakulla Hari, Hashemi-Shahri, Seyed Mohammad, Hassapidou, Maria, Hata, Jun, Haugsgjerd, Teresa, Hayes, Alison J, He, Jiang, He, Yuan, He, Yuna, Heidinger-Felso, Regina, Heinen, Mirjam, Hejgaard, Tatjana, Hendriks, Marleen Elisabeth, Henrique, Rafael dos Santos, Henriques, Ana, Cadena, Leticia Hernandez, Herrala, Sauli, Herrera, Victor M, Herter-Aeberli, Isabelle, Heshmat, Ramin, Hill, Allan G, Ho, Sai Yin, Ho, Suzanne C, Hobbs, Michael, Hofman, Albert, Bergh, Ingunn Holden, Holdsworth, Michelle, Homayounfar, Reza, Homs, Clara, Hopman, Wilma M, Horimoto, Andrea RVR, Hormiga, Claudia M, Horta, Bernardo L, Houti, Leila, Howitt, Christina, Thein, Thein Htay, Htet, Aung Soe, Htike, Maung Maung Than, Hu, Yonghua, Huerta, Jose Maria, Huhtaniemi, Ilpo Tapani, Petrescu, Constanta Huidumac, Husseini, Abdullatif, Chinh, Nguyen Huu, Huybrechts, Inge, Hwalla, Nahla, Hyska, Jolanda, Iacoviello, Licia, Ibarluzea, Jesus M, Ibrahim, Mohsen M, Wong, Norazizah Ibrahim, Ikeda, Nayu, Ikram, M Arfan, Iotova, Violeta, Irazola, Vilma E, Ishida, Takafumi, Islam, Muhammad, Islam, Sheikh Mohammed Shariful, Iwasaki, Masanori, Jackson, Rod T, Jacobs, Jeremy M, Jaddou, Hashem Y, Jafar, Tazeen, James, Kenneth, Jamil, Kazi M, Jamrozik, Konrad, Janszky, Imre, Janus, Edward, Jarani, Juel, Jarvelin, Marjo-Riitta, Jasienska, Grazyna, Jelakovic, Ana, Jelakovic, Bojan, Jennings, Garry, Jha, Anjani Kumar, Jiang, Chao Qiang, Jimenez, Ramon O, Jockel, Karl-Heinz, Joffres, Michel, Johansson, Mattias, Jokelainen, Jari J, Jonas, Jost B, Jorgensen, Torben, Joshi, Pradeep, Joukar, Farahnaz, Jovic, Dragana P, Jozwiak, Jacek J, Juolevi, Anne, Jurak, Gregor, Simina, Iulia Jurca, Juresa, Vesna, Kaaks, Rudolf, Kaducu, Felix O, Kafatos, Anthony, Kajantie, Eero O, Kalmatayeva, Zhanna, Kalter-Leibovici, Ofra, Kameli, Yves, Kanala, Kodanda R, Kannan, Srinivasan, Kapantais, Efthymios, Karki, Khem B, Katibeh, Marzieh, Katz, Joanne, Katzmarzyk, Peter T, Kauhanen, Jussi, Kaur, Prabhdeep, Kavousi, Maryam, Kazakbaeva, Gyulli M, Keil, Ulrich, Boker, Lital Keinan, Keinanen-Kiukaanniemi, Sirkka, Kelishadi, Roya, Kelleher, Cecily, Kemper, Han CG, Keramati, Maryam, Kerimkulova, Alina, Kersting, Mathilde, Key, Timothy, Khader, Yousef Saleh, Khalili, Davood, Khaw, Kay-Tee, Kheiri, Bahareh, Kheradmand, Motahareh, Khosravi, Alireza, Khouw, Ilse MSL, Kiechl-Kohlendorfer, Ursula, Kiechl, Stefan, Killewo, Japhet, Kim, Dong Wook, Kim, Hyeon Chang, Kim, Jeongseon, Kindblom, Jenny M, Klakk, Heidi, Klimek, Magdalena, Klimont, Jeannette, Klumbiene, Jurate, Knoflach, Michael, Koirala, Bhawesh, Kolle, Elin, Kolsteren, Patrick, Konig, Jurgen, Korpelainen, Raija, Korrovits, Paul, Korzycka, Magdalena, Kos, Jelena, Koskinen, Seppo, Kouda, Katsuyasu, Kovacs, Viktoria A, Kowlessur, Sudhir, Koziel, Slawomir, Kratzer, Wolfgang, Kriemler, Susi, Kristensen, Peter Lund, Krokstad, Steiner, Kromhout, Daan, Krtalic, Branimir, Kruger, Herculina S, Kubinova, Ruzena, Kuciene, Renata, Kujala, Urho M, Kujundzic, Enisa, Kulaga, Zbigniew, Kumar, R Krishna, Kunesova, Marie, Kurjata, Pawel, Kusuma, Yadlapalli S, Kuulasmaa, Kari, Kyobutungi, Catherine, Quang, Ngoc La, Laamiri, Fatima Zahra, Laatikainen, Tiina, Lachat, Carl, Laid, Youcef, Lam, Tai Hing, Lambrinou, Christina-Paulina, Landais, Edwige, Lanska, Vera, Lappas, Georg, Larijani, Bagher, Latt, Tint Swe, Lauria, Laura, Lazo-Porras, Maria, Khanh, Le Nguyen Bao, Le Port, Agnes, Le, Tuyen D, Lee, Jeannette, Lee, Jeonghee, Lee, Paul H, Lehmann, Nils, Lehtimaki, Terho, Lemogoum, Daniel, Levitt, Naomi S, Li, Yanping, Liivak, Merike, Lilly, Christa L, Lim, Wei-Yen, Lima-Costa, M Fernanda, Lin, Hsien-Ho, Lin, Xu, Lin, Yi-Ting, Lind, Lars, Linneberg, Allan, Lissner, Lauren, Litwin, Mieczyslaw, Liu, Jing, Liu, Lijuan, Lo, Wei-Cheng, Loit, Helle-Mai, Khuong, Quynh Long, Lopes, Luis, Lopes, Oscar, Lopez-Garcia, Esther, Lopez, Tania, Lotufo, Paulo A, Lozano, Jose Eugenio, Lukrafka, Janice L, Luksiene, Dalia, Lundqvist, Annamari, Lundqvist, Robert, Lunet, Nuno, Lunogelo, Charles, Lustigova, Michala, Luszczki, Edyta, Ma, Guansheng, Ma, Jun, Ma, Xu, Machado-Coelho, George LL, Machado-Rodrigues, Aristides M, Machi, Suka, Macieira, Luisa M, Madar, Ahmed A, Maggi, Stefania, Magliano, Dianna J, Magnacca, Sara, Magriplis, Emmanuella, Mahasampath, Gowri, Maire, Bernard, Majer, Marjeta, Makdisse, Marcia, Maki, Paivi, Malekzadeh, Fatemeh, Malhotra, Rahul, Rao, Kodavanti Mallikharjuna, Malyutina, Sofia K, Maniego, Lynell V, Manios, Yannis, Mann, Jim I, Mansour-Ghanaei, Fariborz, Manzato, Enzo, Margozzini, Paula, Markaki, Anastasia, Markey, Oonagh, Ioannidou, Eliza Markidou, Marques-Vidal, Pedro, Marques, Larissa Pruner, Marrugat, Jaume, Martin-Prevel, Yves, Martin, Rosemarie, Martorell, Reynaldo, Martos, Eva, Marventano, Stefano, Mascarenhas, Luis P, Masoodi, Shariq R, Mathiesen, Ellisiv B, Mathur, Prashant, Matijasevich, Alicia, Matsha, Tandi E, Mavrogianni, Christina, Mazur, Artur, Mbanya, Jean Claude N, McFarlane, Shelly R, McGarvey, Stephen T, McKee, Martin, McLachlan, Stela, McLean, Rachael M, McLean, Scott B, McNulty, Breige A, Mediene-Benchekor, Sounnia, Medzioniene, Jurate, Mehdipour, Parinaz, Mehlig, Kirsten, Mehrparvar, Amir Houshang, Meirhaeghe, Aline, Meisfjord, Jorgen, Meisinger, Christa, Menezes, Ana Maria B, Menon, Geetha 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JM, Ibrahim MM, Ibrahim Wong N, Ikeda N, Ikram MA, Iotova V, Irazola VE, Ishida T, Islam M, Islam SMS, Iwasaki M, Jackson RT, Jacobs JM, Jaddou HY, Jafar T, James K, Jamil KM, Jamrozik K, Janszky I, Janus E, Jarani J, Jarvelin M-R, Jasienska G, Jelakovic A, Jelakovic B, Jennings G, Jha AK, Jiang CQ, Jimenez RO, Jöckel K-H, Joffres M, Johansson M, Jokelainen JJ, Jonas JB, Jørgensen T, Joshi P, Joukar F, Jovic DP, Józwiak JJ, Juolevi A, Jurak G, Jurca Simina I, Juresa V, Kaaks R, Kaducu FO, Kafatos A, Kajantie EO, Kalmatayeva Z, Kalter-Leibovici O, Kameli Y, Kanala KR, Kannan S, Kapantais E, Karki KB, Katibeh M, Katz J, Katzmarzyk PT, Kauhanen J, Kaur P, Kavousi M, Kazakbaeva GM, Keil U, Keinan Boker L, Keinänen-Kiukaanniemi S, Kelishadi R, Kelleher C, Kemper HC, Keramati M, Kerimkulova A, Kersting M, Key T, Khader YS, Khalili D, Khaw K-T, Kheiri B, Kheradmand M, Khosravi A, Khouw IM, Kiechl-Kohlendorfer U, Kiechl S, Killewo J, Kim DW, Kim HC, Kim J, Kindblom JM, Klakk H, Klimek M, 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Male, body-mass index, ADULTHOOD, Adolescents, pituuskasvu, Pediatrics, Body Mass Index, 0302 clinical medicine, Child Development, nuoret, Public health surveillance, Medicine, Health Status Indicators, 10. No inequality, Child, 11 Medical and Health Sciences, Body mass index, ComputingMilieux_MISCELLANEOUS, education.field_of_study, VDP::Medisinske Fag: 700::Helsefag: 800::Samfunnsmedisin, sosialmedisin: 801, General Medicine, Body mass indexes, kansainvälinen vertailu, 3. Good health, Geography, Health, 030220 oncology & carcinogenesis, Child, Preschool, Medical and Health sciences, purl.org/becyt/ford/3 [https], medicine.medical_specialty, School-aged adolescents, Socio-culturale, lapset (ikäryhmät), Nursing, territories, ravinto, purl.org/becyt/ford/3.3 [https], 03 medical and health sciences, School Children, SDG 3 - Good Health and Well-being, SYSTEMATIC ANALYSIS, Humans, school-aged children and adolescents, Montenegro, education, Science & Technology, Omvårdnad, Health sciences, Medical and Health sciences, Ciências médicas e da saúde, Bayes Theorem, Anthropometry, Adolescent Development, medicine.disease, TRENDS, Height and Body-mass Index, Faculdade de Ciências Sociais, UNDERNUTRITION, Height index trajectories, Height, body mass index, children , epidemiology, risk factors, growth, Stature, Demography, Settore MED/09 - Medicina Interna, Internationality, [SDV]Life Sciences [q-bio], 030204 cardiovascular system & hematology, Body-mass index trajectories, Epidemiology, Medicine and Health Sciences, risk factors, countries, EPIDEMIOLOGY, height, children, adolescents, BMI, 030212 general & internal medicine, painoindeksi, Child development, 2. Zero hunger, Medicine(all), School age child, obestity children cardiovascular, Population Health, 1. No poverty, Pediatrik, Public Health, Global Health, Social Medicine and Epidemiology, 3142 Public health care science, environmental and occupational health, Pooled analysis, NUTRITION, Female, medicine.symptom, pooled analysis, Life Sciences & Biomedicine, terveys, height, BMI, nutrition, health, children, adolescents, Adolescent, growth, Population, body-mass, Population based, Body-mass index, Young Adult, Medicine, General & Internal, Meta-Analysis as Topic, General & Internal Medicine, parasitic diseases, Weight gain, School-aged childrens, Age trajectories, business.industry, Height, Weight, Body Height, Folkhälsovetenskap, global hälsa, socialmedicin och epidemiologi, Malnutrition, ONSET, Ciências da Saúde, Ciências médicas e da saúde, School-aged children, VDP::Medical disciplines: 700::Health sciences: 800::Community medicine, Social medicine: 801, business, terveysriskit, Estilos de Vida e Impacto na Saúde
Abstract

BACKGROUND: Comparable global data on health and nutrition of school-aged children and adolescents are scarce. We aimed to estimate age trajectories and time trends in mean height and mean body-mass index (BMI), which measures weight gain beyond what is expected from height gain, for school-aged children and adolescents., METHODS: For this pooled analysis, we used a database of cardiometabolic risk factors collated by the Non-Communicable Disease Risk Factor Collaboration. We applied a Bayesian hierarchical model to estimate trends from 1985 to 2019 in mean height and mean BMI in 1-year age groups for ages 5–19 years. The model allowed for non-linear changes over time in mean height and mean BMI and for non-linear changes with age of children and adolescents, including periods of rapid growth during adolescence., FINDINGS: We pooled data from 2181 population-based studies, with measurements of height and weight in 65 million participants in 200 countries and territories. In 2019, we estimated a difference of 20 cm or higher in mean height of 19-year-old adolescents between countries with the tallest populations (the Netherlands, Montenegro, Estonia, and Bosnia and Herzegovina for boys; and the Netherlands, Montenegro, Denmark, and Iceland for girls) and those with the shortest populations (Timor-Leste, Laos, Solomon Islands, and Papua New Guinea for boys; and Guatemala, Bangladesh, Nepal, and Timor-Leste for girls). In the same year, the difference between the highest mean BMI (in Pacific island countries, Kuwait, Bahrain, The Bahamas, Chile, the USA, and New Zealand for both boys and girls and in South Africa for girls) and lowest mean BMI (in India, Bangladesh, Timor-Leste, Ethiopia, and Chad for boys and girls; and in Japan and Romania for girls) was approximately 9–10 kg/m2. In some countries, children aged 5 years started with healthier height or BMI than the global median and, in some cases, as healthy as the best performing countries, but they became progressively less healthy compared with their comparators as they grew older by not growing as tall (eg, boys in Austria and Barbados, and girls in Belgium and Puerto Rico) or gaining too much weight for their height (eg, girls and boys in Kuwait, Bahrain, Fiji, Jamaica, and Mexico; and girls in South Africa and New Zealand). In other countries, growing children overtook the height of their comparators (eg, Latvia, Czech Republic, Morocco, and Iran) or curbed their weight gain (eg, Italy, France, and Croatia) in late childhood and adolescence. When changes in both height and BMI were considered, girls in South Korea, Vietnam, Saudi Arabia, Turkey, and some central Asian countries (eg, Armenia and Azerbaijan), and boys in central and western Europe (eg, Portugal, Denmark, Poland, and Montenegro) had the healthiest changes in anthropometric status over the past 3·5 decades because, compared with children and adolescents in other countries, they had a much larger gain in height than they did in BMI. The unhealthiest changes—gaining too little height, too much weight for their height compared with children in other countries, or both—occurred in many countries in sub-Saharan Africa, New Zealand, and the USA for boys and girls; in Malaysia and some Pacific island nations for boys; and in Mexico for girls., INTERPRETATION: The height and BMI trajectories over age and time of school-aged children and adolescents are highly variable across countries, which indicates heterogeneous nutritional quality and lifelong health advantages and risks., Wellcome Trust, AstraZeneca Young Health Programme, EU., peer-reviewed

Published
2020
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34. Effet de l’ethnie et de l’urbanisation sur la prévalence de l’obésité et la perception du corps dans une population de Souss (Maroc).

Author

Hibbi, N., Derouiche, A., Belhouari, A., and Delpeuch, F.

Abstract

Introduction et but de l’étude Dans les pays arabes et africains, l’embonpoint a toujours été considéré synonyme de prospérité, de réussite sociale, ainsi que de bonne santé en général, et de beauté pour les femmes. L’objet de la présente étude est d’évaluer l’impact de la migration et de l’ethnie sur la variation de la prévalence de l’obésité et de la perception du corps, entre le groupe ethnique Soussi de la zone rurale d’origine (Souss) et celui de la métropole du Casablanca au Maroc. Matériel et méthodes Nous avons utilisé un échantillonnage stratifié à plusieurs degrés dont 304 participants recrutés dans la zone métropole de Casablanca (149 femmes et 155 hommes) et 309 sur la région de Souss (157 femmes et 152 hommes). Cet échantillonnage était basé sur l’appartenance ethnique (citadins et migrants Soussi de première et deuxième génération), le sexe et l’âge. Nous avons mesuré les paramètres anthropométriques (indice de masse corporelle [IMC]) et les perceptions relatives à la corpulence (perception de l’image du corps, satisfaction corporelle mesurée à partir de la différence entre la silhouette représentant le poids actuel et celle représentant la taille idéale). Résultats et analyse statistique La prévalence de l’obésité était plus élevée chez les femmes que chez les hommes (22,5 % contre 19,8 %). L’analyse ajustée des données a indiqué que, la prévalence de l’obésité était aussi plus forte chez les hommes casablancais soussis (21,3 %, OR = 0,53, 95 % IC [0,30–0,92], p < 0,05). La prévalence de l’obésité est plus élevée chez les femmes casablancaises par rapport aux soussies (31,0 %, OR = 0,54, 95 % IC [0,37–0,92], p < 0,05). Les hommes ayant un IMC normal, en surpoids ou obèse, ont choisi comme image idéale une silhouette plus basse d’un degré que leur taille actuelle ( p < 0,01). Chez les femmes, les participantes ayant un IMC élevé indiquent comme image idéale, une silhouette plus basse d’un point que leur taille actuelle ( p < 0,0001). La moitié de notre population d’étude (43,3 % : 42,5 % d’hommes et 44,2 % de femmes) a sous-estimé leur poids actuel. Cette dernière tendait à l’augmentation avec le niveau d’étude chez les hommes soussis ( p < 0,05) ; et à la diminution avec le statut socioéconomique chez les femmes casablancaises ( p < 0,05). Par ailleurs, les femmes soussies ont été moins nombreuses à être en désaccord avec l’affirmation « être gros est un signe de beauté et de bonne santé », comparativement aux casablancaises (75,6 % contre 92,2 %, respectivement). Conclusion La présente étude a montré que la perception du corps est associée au sexe (femmes) et l’éthnie (soussi), puisque la valorisation de l’embonpoint est encore persistante chez les femmes soussies en particulier. De même, les femmes de la population d’étude présente une sous-estimation de leur poids actuel. [ABSTRACT FROM AUTHOR]

Published
2016
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35. P177: L’influence de la migration urbaine sur la surcharge pondérale chez une population de Souss (Maroc).

Author

Hibbi, N., Derouiche, A., Belhouari, A., Delpeuch, F., Ribert, E., and Boumeggouti, D.

Abstract

Introduction et but de l’étude La migration des zones rurales vers les zones urbaines est un facteur majeur d’obésité, elle est associée à F augmentation des prévalences de cette dernière dans de nombreux pays. Au Maroc, la prévalence de l’obésité est vraisemblablement plus élevée dans les villes que dans les milieux ruraux. Notre objectif est d’évaluer l’influence de l’ethnie et la migration citadine à travers le degré d’urbanité sur la variation de la prévalence de l’obésité, entre le groupe ethnique Soussi de la zone rurale (Souss) et la métropole du Casablanca au Maroc. Matériel et méthodes Nous avons utilisé un échantillonnage stratifié à plusieurs degrés dont 304 participants recrutés dans la zone métropole de Casablanca (149 femmes et 155 hommes) et 309 dans la région de Souss (157 femmes et 152 hommes). Cet échantillonnage est basé sur l’appartenance ethnique (citadins et migrants Soussi de première et deuxième génération), le sexe et l’âge. Nous avons mesuré les paramètres anthropométriques et la composition corporels ; l’excès du poids (surpoids et obésité) et l’obésité abdominale (OA) ont été définis selon les seuils de l’OMS de l’indice de masse corporelle (IMC) et de tour du la taille (TT). En outre, les fourchettes de pourcentage de graisse corporelle (%BF) ont été déterminées selon les tranches indiquées dans le manuel du moniteur de l’impédance-mètre. Résultats et Analyse statistique La prévalence de l’obésité est relativement plus élevée chez les femmes que chez les hommes (22,5 % vs. 19,8 %). Les femmes ont également, plus de l’OA et le risque de % BF élevé que les hommes (77,6vs 33,4 % et 71,2 % vs 60,4 %, respectivement). L’analyse ajustée des données a indiqué que, en comparaison avec les soussi ruraux, l’OA est significativement plus élevé chez les migrants de la deuxième génération (51,0%, OR =0,33, 95%IC [0,17–0,64], p < 0,01); la prévalence de l’obésité (IMC et% BF) est aussi plus forte chez les casablancais soussi (21,3 %, OR =0,53, 95%IC [0,30–0,92], ρ<0,05 et 71,3 %, OR = 0,42, 95%IC [0,28–0,76], ρ<0,01 respectivement). La prévalence de l’obésité (IMC) et de l’OA sont plus élevées chez les femmes casablancaises par rapport aux soussies. (IMC: 31,0% %, OR= 0,54, 95%IC [0,37–0,92], ρ<0,05, et OA: 83,9%, OR =0,48, 95%IC [0,27–0,84], p < 0,01) Conclusion Ces résultats nous permettent de conclure que le statut anthropométrique et corporel de notre population d’étude est dépendant du degré d’urbanité (les migrants de deuxième génération) et de l’ethnie (casablancais soussis) chez les hommes. Tandis que chez les femmes, le statut est plus lié à leur milieu de résidence (particulièrement les casablancaises). [ABSTRACT FROM AUTHOR]

Published
2014
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