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On February 23, 2018, PubMed Central Canada (PMC Canada) will be taken offline permanently. No author manuscripts will be deleted, and the approximately 2,900 manuscripts authored by Canadian Institutes of Health Research (CIHR)-funded researchers currently in the archive will be copied to the National Research Council’s (NRC) Digital Repository over the coming months. These manuscripts along with all other content will also remain publicly searchable on PubMed Central (US) and Europe PubMed Central, meaning such manuscripts will continue to be compliant with the Tri-Agency Open Access Policy on Publications.

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1.  Psychological determinants of physical activity across the life course: A "DEterminants of DIet and Physical ACtivity" (DEDIPAC) umbrella systematic literature review 
PLoS ONE  2017;12(8):e0182709.
Low levels of physical activity (PA) are reported to contribute to the occurrence of non-communicable diseases over the life course. Although psychological factors have been identified as an important category concerning PA behavior, knowledge on psychological determinants of PA is still inconclusive. Therefore, the aim of this umbrella systematic literature review (SLR) was to summarize and synthesize the scientific evidence on psychological determinants of PA behavior across the life course. A systematic online search was conducted on MEDLINE, ISI Web of Science, Scopus, and SPORTDiscus databases. The search was limited to studies published in English from January 2004 to April 2016. SLRs and meta-analyses (MAs) of observational studies investigating the association of psychological variables and PA were considered eligible. Extracted data were evaluated based on importance of determinants, strength of evidence, and methodological quality. The full protocol is available from PROSPERO (Record ID: CRD42015010616). Twenty reviews (14 SLRs and 6 MAs), mostly of moderate methodological quality, were found eligible. Convincing evidence was found for self-efficacy (positive association with PA) in children and adolescents, and stress (negative association with PA) regardless of age. Most of the evidence revealing an association between psychological determinants and PA is probable and limited, mainly due to differences in the definition of PA and of psychological determinants across reviews. Thus, scholars are urged to reach a consensus on clear definitions of relevant psychological determinants of PA, subsuming cultural biases and allowing the possibility to obtain clear interpretations and generalizability of findings. Finally, most psychological determinants should be considered within a larger framework of other multi-level determinants that may interact or mediate some of the effects.
doi:10.1371/journal.pone.0182709
PMCID: PMC5560721  PMID: 28817676
2.  World Congress Integrative Medicine & Health 2017: Part one 
Brinkhaus, Benno | Falkenberg, Torkel | Haramati, Aviad | Willich, Stefan N. | Briggs, Josephine P. | Willcox, Merlin | Linde, Klaus | Theorell, Töres | Wong, Lisa M. | Dusek, Jeffrey | Wu, Darong | Eisenberg, David | Haramati, Aviad | Berger, Bettina | Kemper, Kathi | Stock-Schröer, Beate | Sützl-Klein, Hedda | Ferreri, Rosaria | Kaplan, Gary | Matthes, Harald | Rotter, Gabriele | Schiff, Elad | Arnon, Zahi | Hahn, Eckhard | Luberto, Christina M. | Martin, David | Schwarz, Silke | Tauschel, Diethard | Flower, Andrew | Gramminger, Harsha | Gupta, Hedwig H. | Gupta, S. N. | Kerckhoff, Annette | Kessler, Christian S. | Michalsen, Andreas | Kessler, Christian S. | Kim, Eun S. | Jang, Eun H. | Kim, Rana | Jan, Sae B. | Mittwede, Martin | Mohme, Wiebke | Ben-Arye, Eran | Bonucci, Massimo | Saad, Bashar | Breitkreuz, Thomas | Rossi, Elio | Kebudi, Rejin | Daher, Michel | Razaq, Samaher | Gafer, Nahla | Nimri, Omar | Hablas, Mohamed | Kienle, Gunver Sophia | Samuels, Noah | Silbermann, Michael | Bandelin, Lena | Lang, Anna-Lena | Wartner, Eva | Holtermann, Christoph | Binstock, Maxwell | Riebau, Robert | Mujkanovic, Edin | Cramer, Holger | Lauche, Romy | Michalsen, Andres | Ward, Lesley | Cramer, Holger | Irnich, Dominik | Stör, Wolfram | Burnstock, Geoffrey | Schaible, Hans-Georg | Ots, Thomas | Langhorst, Jost | Lauche, Romy | Sundberg, Tobias | Falkenberg, Torkel | Amarell, Catherina | Amarell, Catherina | Anheyer, Melanie | Eckert, Marion | Eckert, Marion | Ogal, Mercedes | Eckert, Marion | Amarell, Catherina | Schönauer, Annette | Reisenberger, Birgit | Brand, Bernhard | Anheyer, Dennis | Dobos, Gustav | Kroez, Matthias | Martin, David | Matthes, Harald | Ammendola, Aldo | Mao, Jun J. | Witt, Claudia | Yang, Yufei | Dobos, Gustav | Oritz, Miriam | Horneber, Markus | Voiß, Petra | Reisenberger, Birgit | von Rosenstiel, Alexandra | Eckert, Marion | Ogal, Mercedes | Amarell, Catharina | Anheyer, Melanie | Schad, Friedemann | Schläppi, Marc | Kröz, Matthias | Büssing, Arndt | Bar-Sela, Gil | Matthes, Harald | Schiff, Elad | Ben-Arye, Eran | Arnon, Zahi | Avshalomov, David | Attias, Samuel | Schönauer, Annette | Haramati, Aviad | Witt, Claudia | Brinkhaus, Benno | Cotton, Sian | Jong, Miek | Jong, Mats | Scheffer, Christian | Haramati, Aviad | Tauschel, Diethard | Edelhäuser, Friedrich | AlBedah, Abdullah | Lee, Myeong Soo | Khalil, Mohamed | Ogawa, Keiko | Motoo, Yoshiharu | Arimitsu, Junsuke | Ogawa, Masao | Shimizu, Genki | Stange, Rainer | Kraft, Karin | Kuchta, Kenny | Watanabe, Kenji | Bonin, D | Büssing, Arndt | Gruber, Harald | Koch, Sabine | Gruber, Harald | Pohlmann, Urs | Caldwell, Christine | Krantz, Barbara | Kortum, Ria | Martin, Lily | Wieland, Lisa S. | Kligler, Ben | Gould-Fogerite, Susan | Zhang, Yuqing | Wieland, Lisa S. | Riva, John J. | Lumpkin, Michael | Ratner, Emily | Ping, Liu | Jian, Pei | Hamme, Gesa-Meyer | Mao, Xiaosong | Chouping, Han | Schröder, Sven | Hummelsberger, Josef | Wullinger, Michael | Brodzky, Marc | Zalpour, Christoff | Langley, Julia | Weber, Wendy | Mudd, Lanay M. | Wayne, Peter | Witt, Clauda | Weidenhammer, Wolfgang | Fønnebø, Vinjar | Boon, Heather | Steel, Amie | Bugarcic, Andrea | Rangitakatu, Melisa | Steel, Amie | Adams, Jon | Sibbritt, David | Wardle, Jon | Leach, Matthew | Schloss, Janet | Dieze, Helene | Boon, Heather | Ijaz, Nadine | Willcox, Merlin | Heinrich, Michael | Lewith, George | Flower, Andrew | Graz, Bertrand | Adam, Daniela | Grabenhenrich, Linus | Ortiz, Miriam | Binting, Sylvia | Reinhold, Thomas | Brinkhaus, Benno | Andermo, Susanne | Sundberg, Tobias | Falkenberg, Torkel | Nordberg, Johanna Hök | Arman, Maria | Bhasin, Manoj | Fan, Xueyi | Libermann, Towia | Fricchione, Gregory | Denninger, John | Benson, Herbert | Berger, Bettina | Stange, Rainer | Michalsen, Andreas | Martin, David D. | Boers, Inge | Vlieger, Arine | Jong, Miek | Brinkhaus, Benno | Teut, Michael | Ullmann, Alexander | Ortiz, Miriam | Rotter, Gabriele | Binting, Sylvia | Lotz, Fabian | Roll, Stephanie | Canella, Claudia | Mikolasek, Michael | Rostock, Matthias | Beyer, Jörg | Guckenberger, Matthias | Jenewein, Josef | Linka, Esther | Six, Claudia | Stoll, Sarah | Stupp, Roger | Witt, Claudia M. | Chuang, Elisabeth | Kligler, Ben | McKee, Melissa D. | Cramer, Holger | Lauche, Romy | Klose, Petra | Lange, Silke | Langhorst, Jost | Dobos, Gustav | Chung, Vincent C. H. | Wong, Hoi L. C. | Wu, Xin Y. | Wen, Grace Y. G. | Ho, Robin S. T. | Ching, Jessica Y. L. | Wu, Justin C. Y. | Coakley, Amanda | Flanagan, Jane | Annese, Christine | Empoliti, Joanne | Gao, Zishan | Liu, Xugang | Yu, Shuguang | Yan, Xianzhong | Liang, Fanrong | Hohmann, Christoph D. | Steckhan, Nico | Ostermann, Thomas | Paetow, Arion | Hoff, Evelyn | Michalsen, Andreas | Hu, Xiao-Yang | Wu, Ruo-Han | Logue, Martin | Blonde, Clara | Lai, Lily Y. | Stuart, Beth | Flower, Andrew | Fei, Yu-Tong | Moore, Michael | Liu, Jian-Ping | Lewith, George | Hu, Xiao-Yang | Wu, Ruo-Han | Logue, Martin | Blonde, Clara | Lai, Lily Y. | Stuart, Beth | Flower, Andrew | Fei, Yu-Tong | Moore, Michael | Liu, Jian-Ping | Lewith, George | Jeitler, Michael | Zillgen, Hannah | Högl, Manuel | Steckhan, Nico | Stöckigt, Barbara | Seifert, Georg | Michalsen, Andreas | Kessler, Christian | Khadivzadeh, Talat | Bashtian, Maryam Hassanzadeh | Aval, Shapour Badiee | Esmaily, Habibollah | Kim, Jihye | Kim, Keun H. | Klocke, Carina | Joos, Stefanie | Koshak, Abdulrahman | Wie, Li | Koshak, Emad | Wali, Siraj | Alamoudi, Omer | Demerdash, Abdulrahman | Qutub, Majdy | Pushparaj, Peter | Heinrich, Michael | Kruse, Sigrid | Fischer, Isabell | Tremel, Nadine | Rosenecker, Joseph | Leung, Brenda | Takeda, Wendy | Liang, Ning | Feng, Xue | Liu, Jian-ping | Cao, Hui-juan | Luberto, Christina M. | Shinday, Nina | Philpotts, Lisa | Park, Elyse | Fricchione, Gregory L. | Yeh, Gloria | Munk, Niki | Zakeresfahani, Arash | Foote, Trevor R. | Ralston, Rick | Boulanger, Karen | Özbe, Dominik | Gräßel, Elmar | Luttenberger, Katharina | Pendergrass, Anna | Pach, Daniel | Bellmann-Strobl, Judit | Chang, Yinhui | Pasura, Laura | Liu, Bin | Jäger, Sven F. | Loerch, Ronny | Jin, Li | Brinkhaus, Benno | Ortiz, Miriam | Reinhold, Thomas | Roll, Stephanie | Binting, Sylvia | Icke, Katja | Shi, Xuemin | Paul, Friedemann | Witt, Claudia M. | Rütz, Michaela | Lynen, Andreas | Schömitz, Meike | Vahle, Maik | Salomon, Nir | Lang, Alon | Lahat, Adi | Kopylov, Uri | Ben-Horin, Shomron | Har-Noi, Ofir | Avidan, Benjamin | Elyakim, Rami | Gamus, Dorit | NG, Siew | Chang, Jessica | Wu, Justin | Kaimiklotis, John | Schumann, Dania | Buttó, Ludovica | Langhorst, Jost | Dobos, Gustav | Haller, Dirk | Cramer, Holger | Smith, Caroline | de Lacey, Sheryl | Chapman, Michael | Ratcliffe, Julie | Johnson, Neil | Lyttleton, Jane | Boothroyd, Clare | Fahey, Paul | Tjaden, Bram | van Vliet, Marja | van Wietmarschen, Herman | Jong, Miek | Tröger, Wilfried | Vuolanto, Pia | Aarva, Paulina | Sorsa, Minna | Helin, Kaija | Wenzel, Claudia | Zoderer, Iris | Pammer, Patricia | Simon, Patrick | Tucek, Gerhard | Wode, Kathrin | Henriksson, Roger | Sharp, Lena | Stoltenberg, Anna | Nordberg, Johanna Hök | Xiao-ying, Yang | Wang, Li-qiong | Li, Jin-gen | Liang, Ning | Wang, Ying | Liu, Jian-ping | Balneaves, Lynda | Capler, Rielle | Bocci, Chiara | Guffi, Marta | Paolini, Marina | Meaglia, Ilaria | Porcu, Patrizia | Ivaldi, Giovanni B. | Dragan, Simona | Bucuras, Petru | Pah, Ana M. | Badalica-Petrescu, Marius | Buleu, Florina | Hogea-Stoichescu, Gheorghe | Christodorescu, Ruxandra | Kao, Lan | Cho, Yumin | Klafke, Nadja | Mahler, Cornelia | von Hagens, Cornelia | Uhlmann, Lorenz | Bentner, Martina | Schneeweiss, Andreas | Mueller, Andreas | Szecsenyi, Joachim | Joos, Stefanie | Neri, Isabella | Ortiz, Miriam | Schnabel, Katharina | Teut, Michael | Rotter, Gabriele | Binting, Sylvia | Cree, Margit | Lotz, Fabian | Suhr, Ralf | Brinkhaus, Benno | Rossi, Elio | Baccetti, Sonia | Firenzuoli, Fabio | Monechi, Maria V. | Di Stefano, Mariella | Amunni, Gianni | Wong, Wendy | Chen, Bingzhong | Wu, Justin | Amri, Hakima | Haramati, Aviad | Kotlyanskaya, Lucy | Anderson, Belinda | Evans, Roni | Kligler, Ben | Marantz, Paul | Bradley, Ryan | Booth-LaForce, Cathryn | Zwickey, Heather | Kligler, Benjamin | Brooks, Audrey | Kreitzer, Mary J. | Lebensohn, Patricia | Goldblatt, Elisabeth | Esmel-Esmel, Neus | Jiménez-Herrera, Maria | Ijaz, Nadine | Boon, Heather | Jocham, Alexandra | Stock-Schröer, Beate | Berberat, Pascal O. | Schneider, Antonius | Linde, Klaus | Masetti, Morgana | Murakozy, Henriette | Van Vliet, Marja | Jong, Mats | Jong, Miek | Agdal, Rita | Atarzadeh, Fatemeh | Jaladat, Amir M. | Hoseini, Leila | Amini, Fatemeh | Bai, Chen | Liu, Tiegang | Zheng, Zian | Wan, Yuxiang | Xu, Jingnan | Wang, Xuan | Yu, He | Gu, Xiaohong | Daneshfard, Babak | Nimrouzi, Majid | Tafazoli, Vahid | Alorizi, Seyed M. Emami | Saghebi, Seyed A. | Fattahi, Mohammad R. | Salehi, Alireza | Rezaeizadeh, Hossein | Zarshenas, Mohammad M. | Nimrouzi, Majid | Fox, Kealoha | Hughes, John | Kostanjsek, Nenad | Espinosa, Stéphane | Lewith, George | Fisher, Peter | Latif, Abdul | Lefeber, Donald | Paske, William | Öztürk, Ali Ö. | Öztürk, Gizemnur | Boers, Inge | Tissing, Wim | Naafs, Marianne | Busch, Martine | Jong, Miek | Daneshfard, Babak | Sanaye, Mohammad R. | Dräger, Kilian | Fisher, Peter | Kreitzer, Mary J. | Evans, Roni | Leininger, Brent | Shafto, Kate | Breen, Jenny | Sanaye, Mohammad R. | Daneshfard, Babak | Simões-Wüst, Ana P. | Moltó-Puigmartí, Carolina | van Dongen, Martien | Dagnelie, Pieter | Thijs, Carel | White, Shelley | Wiesener, Solveig | Salamonsen, Anita | Stub, Trine | Fønnebø, Vinjar | Abanades, Sergio | Blanco, Mar | Masllorens, Laia | Sala, Roser | Al-Ahnoumy, Shafekah | Han, Dongwoon | He, Luzhu | Kim, Ha Yun | In Choi, Da | Alræk, Terje | Stub, Trine | Kristoffersen, Agnete | von Sceidt, Christel | Michalsen, Andreas | Bruset, Stig | Musial, Frauke | Anheyer, Dennis | Cramer, Holger | Lauche, Romy | Saha, Felix J. | Dobos, Gustav | Anheyer, Dennis | Haller, Heidemarie | Lauche, Romy | Dobos, Gustav | Cramer, Holger | Azizi, Hoda | Khadem, Nayereh | Hassanzadeh, Malihe | Estiri, Nazanin | Azizi, Hamideh | Tavassoli, Fatemeh | Lotfalizadeh, Marzieh | Zabihi, Reza | Esmaily, Habibollah | Azizi, Hoda | Shabestari, Mahmoud Mohammadzadeh | Paeizi, Reza | Azari, Masoumeh Alvandi | Bahrami-Taghanaki, Hamidreza | Zabihi, Reza | Azizi, Hamideh | Esmaily, Habibollah | Baars, Erik | De Bruin, Anja | Ponstein, Anne | Baccetti, Sonia | Di Stefano, Mariella | Rossi, Elio | Firenzuoli, Fabio | Segantini, Sergio | Monechi, Maria Valeria | Voller, Fabio | Barth, Jürgen | Kern, Alexandra | Lüthi, Sebastian | Witt, Claudia | Barth, Jürgen | Zieger, Anja | Otto, Fabius | Witt, Claudia | Beccia, Ariel | Dunlap, Corina | Courneene, Brendan | Bedregal, Paula | Passi, Alvaro | Rodríguez, Alfredo | Chang, Mayling | Gutiérrez, Soledad | Beissner, Florian | Beissner, Florian | Preibisch, Christine | Schweizer-Arau, Annemarie | Popovici, Roxana | Meissner, Karin | Beljanski, Sylvie | Belland, Laura | Rivera-Reyes, Laura | Hwang, Ula | Berger, Bettina | Sethe, Dominik | Hilgard, Dörte | Heusser, Peter | Bishop, Felicity | Al-Abbadey, Miznah | Bradbury, Katherine | Carnes, Dawn | Dimitrov, Borislav | Fawkes, Carol | Foster, Jo | MacPherson, Hugh | Roberts, Lisa | Yardley, Lucy | Lewith, George | Bishop, Felicity | Al-Abbadey, Miznah | Bradbury, Katherine | Carnes, Dawn | Dimitrov, Borislav | Fawkes, Carol | Foster, Jo | MacPherson, Hugh | Roberts, Lisa | Yardley, Lucy | Lewith, George | Bishop, Felicity | Holmes, Michelle | Lewith, George | Yardley, Lucy | Little, Paul | Cooper, Cyrus | Bogani, Patrizia | Maggini, Valentina | Gallo, Eugenia | Miceli, Elisangela | Biffi, Sauro | Mengoni, Alessio | Fani, Renato | Firenzuoli, Fabio | Brands-Guendling, Nadine | Guendling, Peter W. | Bronfort, Gert | Evans, Roni | Haas, Mitch | Leininger, Brent | Schulz, Craig | Bu, Xiangwei | Wang, J. | Fang, T. | Shen, Z. | He, Y. | Zhang, X. | Zhang, Zhengju | Wang, Dali | Meng, Fengxian | Büssing, Arndt | Baumann, Klaus | Frick, Eckhard | Jacobs, Christoph | Büssing, Arndt | Grünther, Ralph-Achim | Lötzke, Désirée | Büssing, Arndt | Jung, Sonny | Lötzke, Désirée | Recchia, Daniela R. | Robens, Sibylle | Ostermann, Thomas | Berger, Bettina | Stankewitz, Josephin | Kröz, Matthias | Jeitler, Mika | Kessler, Christian | Michalsen, Andreas | Cheon, Chunhoo | Jang, Bo H. | Ko, Seong G. | Huang, Ching W. | Sasaki, Yui | Ko, Youme | Cheshire, Anna | Ridge, Damien | Hughes, John | Peters, David | Panagioti, Maria | Simon, Chantal | Lewith, George | Cho, Hyun J. | Han, Dongwoon | Choi, Soo J. | Jung, Young S. | Im, Hyea B | Cooley, Kieran | Tummon-Simmons, Laura | Cotton, Sian | Luberto, Christina M. | Wasson, Rachel | Kraemer, Kristen | Sears, Richard | Hueber, Carly | Derk, Gwendolyn | Lill, JR | An, Ruopeng | Steinberg, Lois | Rodriguez, Lourdes Diaz | la Fuente, Francisca García-de | De la Vega, Miguel | Vargas-Román, Keyla | Fernández-Ruiz, Jonatan | Cantarero-Villanueva, Irene | Rodriguez, Lourdes Diaz | García-De la Fuente, Francisca | Jiménez-Guerrero, Fanny | Vargas-Román, Keyla | Fernández-Ruiz, Jonatan | Galiano-Castillo, Noelia | Diaz-Saez, Gualberto | Torres-Jimenez, José I. | Garcia-Gomez, Olga | Hortal-Muñoz, Luis | Diaz-Diez, Camino | Dicen, Demijon | Diezel, Helene | Adams, Jon | Steel, Amie | Wardle, Jon | Diezel, Helene | Steel, Amie | Frawley, Jane | Wardle, Jon | Broom, Alex | Adams, Jon | Dong, Fei | Yu, He | Liu, Tiegang | Ma, Xueyan | Yan, Liyi | Wan, Yuxiang | Zheng, Zian | Gu, Xiaohong | Dong, Fei | Yu, He | Wu, Liqun | Liu, Tiegang | Ma, Xueyan | Ma, Jiaju | Yan, Liyi | Wan, Yuxiang | Zheng, Zian | Zhen, Jianhua | Gu, Xiaohong | Dubois, Julie | Rodondi, Pierre-Yves | Edelhäuser, Friedrich | Schwartze, Sophia | Trapp, Barbara | Cysarz, Dirk
doi:10.1186/s12906-017-1782-4
PMCID: PMC5498855
3.  Individual, Social, and Environmental Correlates of Active Transportation Patterns in French Women 
BioMed Research International  2017;2017:9069730.
The objectives were (1) to define physical activity (PA) and sedentary behaviors (SB) patterns in daily life contexts (work, leisure, and transportation) in French working women from NutriNet-Santé web-cohort and (2) to identify pattern(s) of active transportation and their individual, social, and environmental correlates. 23,432 participants completed two questionnaires to evaluate PA and SB in daily life contexts and individual representations of residential neighborhood and transportation modes. Hierarchical cluster analysis was performed which identified 6 distinct movement behavior patterns: (i) active occupation, high sedentary leisure, (ii) sedentary occupation, low leisure, (iii) sedentary transportation, (iv) sedentary occupation and leisure, (v) active transportation, and (vi) active leisure. Multinomial logistic regressions were performed to identify correlates of the “active transportation” cluster. The perceived environmental characteristics positively associated with “active transportation” included “high availability of destinations around home,” “presence of bicycle paths,” and “low traffic.” A “positive image of walking/cycling,” the “individual feeling of being physically active,” and a “high use of active transport modes by relatives/friends” were positively related to “active transportation,” identified as a unique pattern regarding individual and environmental correlates. Identification of PA and SB context-specific patterns will help to understand movement behaviors' complexity and to design interventions to promote active transportation in specific subgroups.
doi:10.1155/2017/9069730
PMCID: PMC5498903
4.  Neighborhood educational disparities in active commuting among women: the effect of distance between the place of residence and the place of work/study (an ACTI-Cités study) 
BMC Public Health  2017;17:569.
Background
Active transportation has been associated with favorable health outcomes. Previous research highlighted the influence of neighborhood educational level on active transportation. However, little is known regarding the effect of commuting distance on social disparities in active commuting. In this regard, women have been poorly studied. The objective of this paper was to evaluate the relationship between neighborhood educational level and active commuting, and to assess whether the commuting distance modifies this relationship in adult women.
Methods
This cross-sectional study is based on a subsample of women from the Nutrinet-Santé web-cohort (N = 1169). Binomial, log-binomial and negative binomial regressions were used to assess the associations between neighborhood education level and (i) the likelihood of reporting any active commuting time, and (ii) the share of commuting time made by active transportation modes. Potential effect measure modification of distance to work on the previous associations was assessed both on the additive and the multiplicative scales.
Results
Neighborhood education level was positively associated with the probability of reporting any active commuting time (relative risk = 1.774; p < 0.05) and the share of commuting time spent active (relative risk = 1.423; p < 0.05). The impact of neighborhood education was greater at long distances to work for both outcomes.
Conclusions
Our results suggest that neighborhood educational disparities in active commuting tend to increase with commuting distance among women. Further research is needed to provide geographically driven guidance for health promotion intervention aiming at reducing disparities in active transportation among socioeconomic groups.
Electronic supplementary material
The online version of this article (doi:10.1186/s12889-017-4464-8) contains supplementary material, which is available to authorized users.
doi:10.1186/s12889-017-4464-8
PMCID: PMC5469012  PMID: 28606118
Active commuting; Neighborhood education; Distance to work; Effect measure modification; Social environment
5.  Behavioral determinants of physical activity across the life course: a “DEterminants of DIet and Physical ACtivity” (DEDIPAC) umbrella systematic literature review 
Background
Low levels of physical activity (PA) are a global concern and increasing PA engagement is becoming a priority in current public health policies. Despite the large number of studies and reviews available, the evidence regarding the behavioral determinants of PA is still inconclusive. Thus, the aim of this umbrella systematic literature review (SLR) was to summarize the evidence on the behavioral determinants of PA across the life course.
Methods
A systematic online search was conducted on MEDLINE, ISI Web of Science, Scopus, and SPORTDiscus databases. The search was limited to studies published in English from January, 2004 to April, 2016. SLRs and meta-analyses (MAs) of observational studies that investigated the behavioral determinants of PA were considered eligible. The extracted data were assessed based on the importance of the determinants, the strength of evidence, and the methodological quality. The full protocol is available from PROSPERO (PROSPERO 2014:CRD42015010616).
Results
Seventeen reviews on 35 behavioral determinants of PA were eligible for this umbrella SLR. Regardless of age, the most investigated determinants were those related with ‘screen use’ and ‘smoking’. For youth, probable positive evidence emerged for ‘previous PA’ and ‘independent mobility and active transport’ among children and adolescents. For the adult population, ‘transition to university’ and ‘pregnancy/having a child’ showed probable negative associations.
Conclusions
Although the majority of the evidence was limited and most of the determinants were not associated with PA, this umbrella SLR provided a comprehensive overview of the associations between behavioral determinants and PA. Youth should be physically active in the early years and increase active transportation to/from school, independent mobility, and ‘free-range activities’ without adult supervision, whilst adult PA behaviors are mostly influenced by the life events. Finally, more research is needed that incorporates prospective study designs, standardized definitions of PA, objective measurement methods of PA assessment, and the use of interactionist and mediational approaches for the evaluation of different behavioral determinants influencing PA behaviors.
doi:10.1186/s12966-017-0510-2
PMCID: PMC5414221
Physical activity; Behavioral determinants; Umbrella systematic literature review; Health promotion
6.  Child health care: adequate training for all UK GPs is long overdue 
doi:10.3399/bjgp16X684853
PMCID: PMC4838420  PMID: 27127270
7.  Active Mobility and Environment: A Pilot Qualitative Study for the Design of a New Questionnaire 
PLoS ONE  2017;12(1):e0168986.
It is generally accepted that active mobility, mainly walking and cycling, contributes to people’s physical and mental health. One of the current challenges is to improve our understanding of this type of behaviour. This study aims to identify factors from the daily-life environment that may be related to active mobility behaviours, in order to design a new questionnaire for a quantitative study of a large adult population. The new questionnaire obtained through this pilot study combines information from interviews with existing questionnaires materials in order to introduce new factors while retaining the factors already assessed. This approach comprises three stages. The first was a content analysis (Reinert method) of interviews with a sample of participants about daily living activities as well as mobility. This stage led to a typology of factors suggested by interviews. The second was a scoping review of the literature in order to identify the active mobility questionnaires currently used in international literature. The last stage was a cross-tabulation of the factors resulting from the written interviews and the questionnaires. A table of the inter-relationships between the interview-based typology and the questionnaires shows discrepancies between factors considered by the existing questionnaires, and factors coming from individual interviews. Independent factors which were ignored in or absent from the questionnaires are the housing situation within the urban structure, overall consideration of the activity space beyond the limits of the residential neighbourhood, the perception of all the transportation modes, and the time scheduling impacting the modes actually used. Our new questionnaire integrates both the usual factors and the new factors that may be related to active mobility behaviours.
doi:10.1371/journal.pone.0168986
PMCID: PMC5215579  PMID: 28052086
8.  Using concept mapping in the development of the EU-PAD framework (EUropean-Physical Activity Determinants across the life course): a DEDIPAC-study 
BMC Public Health  2016;16:1145.
Background
A large proportion of European children, adults and older adults do not engage in sufficient physical activity (PA). Understanding individual and contextual factors associated with PA behaviours is essential for the identification and implementation of effective preventative environments, policies, and programmes that can promote an active lifestyle across life course and can potentially improve health. The current paper intends to provide 1) a multi-disciplinary, Pan-European and life course view of key determinants of PA behaviours and 2) a proposal of how these factors may cluster.
Methods
After gathering a list of 183 potential PA behaviours-associated factors and a consensus meeting to unify/consolidate terminology, a concept mapping software was used to collate European experts’ views of 106 identified factors for youth (<19 years), adults (19–64 years), and older adults (≥65 years). The analysis evaluated common trends in the clustering of factors and the ratings of the distinct factors’ expected modifiability and population-level impact on PA behaviours across the life course. Priority for research was also assessed for each cluster.
Results
The concept mapping resulted in six distinct clusters, broadly merged in two themes: 1) the ‘Person’, which included clusters ‘Intra-Personal Context and Wellbeing’ and ‘Family and Social Economic Status’ (42 % of all factors) and 2) the ‘Society’, which included the remaining four clusters ‘Policy and Provision’, ‘Cultural Context and Media’, ‘Social Support and Modelling’, and ‘Supportive Environment’ (58 % of all factors). Overall, 25 factors were rated as the most impactful on PA behaviours across the life course and being the most modifiable. They were mostly situated in the ‘Intra-Personal Context and Wellbeing’ cluster. Furthermore, 16 of them were rated as top priority for research.
Conclusions
The current framework provides a preliminary overview of factors which may account for PA behaviour across the life course and are most relevant to the European community. These insights could potentially be a foundation for future Pan-European research on how these factors might interact with each other, and assist policy makers to identify appropriate interventions to maximize PA behaviours and thus the health of European citizens.
doi:10.1186/s12889-016-3800-8
PMCID: PMC5101801  PMID: 27825370
Factors; Active lifestyles; Youth; Adults; Older adults; Priority for research
9.  Resilience: what is it, why do we need it, and can it help us? 
The British Journal of General Practice  2015;65(639):e708-e710.
doi:10.3399/bjgp15X687133
PMCID: PMC4582884  PMID: 26412848
10.  Transition from physical activity to inactivity increases skeletal muscle miR‐148b content and triggers insulin resistance 
Physiological Reports  2016;4(17):e12902.
Abstract
This study investigated miR‐148b as a potential physiological actor of physical inactivity‐induced effects in skeletal muscle. By using animal and human protocols, we demonstrated that the early phase of transition toward inactivity was associated with an increase in muscle miR‐148b content, which triggered the downregulation of NRAS and ROCK1 target genes. Using human myotubes, we demonstrated that overexpression of miR‐148b decreased NRAS and ROCK1 protein levels, and PKB phosphorylation and glucose uptake in response to insulin. Increase in muscle miR‐148b content might thus participate in the decrease in insulin sensitivity at the whole body level during the transition toward physical inactivity.
doi:10.14814/phy2.12902
PMCID: PMC5027343  PMID: 27597765
Insulin‐signaling pathway; miRNA; muscle tissue; myotube; physical inactivity
11.  Assessment of sedentary behaviors and transport-related activities by questionnaire: a validation study 
BMC Public Health  2016;16:753.
Background
Comprehensive assessment of sedentary behavior (SB) and physical activity (PA), including transport-related activities (TRA), is required to design innovative PA promotion strategies. There are few validated instruments that simultaneously assess the different components of human movement according to their context of practice (e.g. work, transport, leisure). We examined test-retest reliability and validity of the Sedentary, Transportation and Activity Questionnaire (STAQ), a newly developed questionnaire dedicated to assessing context-specific SB, TRA and PA.
Methods
Ninety six subjects (51 women) kept a contextualized activity-logbook and wore a hip accelerometer (Actigraph GT3X + TM) for a 7-day or 14-day period, at the end of which they completed the STAQ. Activity-energy expenditure was measured in a subgroup of 45 subjects using the double labeled water (DLW) method. Test-retest reliability was assessed using intra-class-coefficients (ICC) in a subgroup of 32 subjects who filled the questionnaire twice one month apart. Accelerometry was annotated using the logbook to obtain total and context-specific objective estimates of SB. Spearman correlations, Bland-Altman plots and ICC were used to analyze validity with logbook, accelerometry and DLW data validity criteria.
Results
Test-retest reliability was fair for total sitting time (ICC = 0.52), good to excellent for work sitting time (ICC = 0.71), transport-related walking (ICC = 0.61) and car use (ICC = 0.67), and leisure screen-related SB (ICC = 0.64-0.79), but poor for total sitting time during leisure and transport-related contexts. For validity, compared to accelerometry, significant correlations were found for STAQ estimates of total (r = 0.54) and context-specific sitting times with stronger correlations for work sitting time (r = 0.88), and screen times (TV/DVD viewing: r = 0.46; other screens: r = 0.42) than for transport (r = 0.35) or leisure-related sitting-times (r = 0.19). Compared to contextualized logbook, STAQ estimates of TRA was higher for car (r = 0.65) than for active transport (r = 0.41). The questionnaire generally overestimated work- and leisure-related SB and sitting times, while it underestimated total and transport-related sitting times.
Conclusions
The STAQ showed acceptable reliability and a good ranking validity for assessment of context-specific SB and TRA. This instrument appears as a useful tool to study SB, TRA and PA in context in adults.
Electronic supplementary material
The online version of this article (doi:10.1186/s12889-016-3412-3) contains supplementary material, which is available to authorized users.
doi:10.1186/s12889-016-3412-3
PMCID: PMC4977835  PMID: 27506456
Sedentary behavior; Sitting; Active transport; Travel; Logbook; Accelerometry; Context; Questionnaire
12.  A systematic review of correlates of sedentary behaviour in adults aged 18–65 years: a socio-ecological approach 
BMC Public Health  2016;16:163.
Background
Recent research shows that sedentary behaviour is associated with adverse cardio-metabolic consequences even among those considered sufficiently physically active. In order to successfully develop interventions to address this unhealthy behaviour, factors that influence sedentariness need to be identified and fully understood. The aim of this review is to identify individual, social, environmental, and policy-related determinants or correlates of sedentary behaviours among adults aged 18–65 years.
Methods
PubMed, Embase, CINAHL, PsycINFO and Web of Science were searched for articles published between January 2000 and September 2015. The search strategy was based on four key elements and their synonyms: (a) sedentary behaviour (b) correlates (c) types of sedentary behaviours (d) types of correlates. Articles were included if information relating to sedentary behaviour in adults (18–65 years) was reported. Studies on samples selected by disease were excluded. The full protocol is available from PROSPERO (PROSPERO 2014:CRD42014009823).
Results
74 original studies were identified out of 4041: 71 observational, two qualitative and one experimental study. Sedentary behaviour was primarily measured as self-reported screen leisure time and total sitting time. In 15 studies, objectively measured total sedentary time was reported: accelerometry (n = 14) and heart rate (n = 1). Individual level factors such as age, physical activity levels, body mass index, socio-economic status and mood were all significantly correlated with sedentariness. A trend towards increased amounts of leisure screen time was identified in those married or cohabiting while having children resulted in less total sitting time. Several environmental correlates were identified including proximity of green space, neighbourhood walkability and safety and weather.
Conclusions
Results provide further evidence relating to several already recognised individual level factors and preliminary evidence relating to social and environmental factors that should be further investigated. Most studies relied upon cross-sectional design limiting causal inference and the heterogeneity of the sedentary measures prevented direct comparison of findings. Future research necessitates longitudinal study designs, exploration of policy-related factors, further exploration of environmental factors, analysis of inter-relationships between identified factors and better classification of sedentary behaviour domains.
Electronic supplementary material
The online version of this article (doi:10.1186/s12889-016-2841-3) contains supplementary material, which is available to authorized users.
doi:10.1186/s12889-016-2841-3
PMCID: PMC4756464  PMID: 26887323
Sitting; Sedentary behaviour; Determinants; Correlates; Adults; Ecological model; Intrapersonal; Interpersonal; Environment; Policy-related
13.  Walking and cycling for commuting, leisure and errands: relations with individual characteristics and leisure-time physical activity in a cross-sectional survey (the ACTI-Cités project) 
Background
Increasing active transport behavior (walking, cycling) throughout the life-course is a key element of physical activity promotion for health. There is, however, a need to better understand the correlates of specific domains of walking and cycling to identify more precisely at-risk populations for public health interventions. In addition, current knowledge of interactions between domains of walking and cycling remains limited.
Methods
We assessed past-month self-reported time spent walking and cycling in three specific domains (commuting, leisure and errands) in 39,295 French adult participants (76.5 % women) of the on-going NutriNet Santé web-cohort. Multivariate logistic regression models were used to investigate the associations with socio-demographic and physical activity correlates.
Results
Having a transit pass was strongly positively associated with walking for commuting and for errands but was unrelated to walking for leisure or to all domains of cycling. Having a parking space at work was strongly negatively associated with walking for commuting and cycling for commuting. BMI was negatively associated with both walking for leisure and errands, and with the three domains of cycling. Leisure-time physical activity was negatively associated with walking for commuting but was positively associated with the two other domains of walking and with cycling (three domains). Walking for commuting was positively associated with the other domains of walking; cycling for commuting was also positively associated with the other domains of cycling. Walking for commuting was not associated with cycling for commuting.
Conclusions
In adults walking and cycling socio-demographic and physical activity correlates differ by domain (commuting, leisure and errands). Better knowledge of relationships between domains should help to develop interventions focusing not only the right population, but also the right behavior.
doi:10.1186/s12966-015-0310-5
PMCID: PMC4673722  PMID: 26646510
Walking; Cycling; Active transport; Physical activity; Correlates; Age; Cross-sectional; Web-cohort; Commuting; Leisure; Errands
14.  Accuracy of a New Patch Pump Based on a Microelectromechanical System (MEMS) Compared to Other Commercially Available Insulin Pumps 
The JewelPUMP™ (JP) is a new patch pump based on a microelectromechanical system that operates without any plunger. The study aimed to evaluate the infusion accuracy of the JP in vitro and in vivo. For the in vitro studies, commercially available pumps meeting the ISO standard were compared to the JP: the MiniMed® Paradigm® 712 (MP), Accu-Chek® Combo (AC), OmniPod® (OP), Animas® Vibe™ (AN). Pump accuracy was measured over 24 hours using a continuous microweighing method, at 0.1 and 1 IU/h basal rates. The occlusion alarm threshold was measured after a catheter occlusion. The JP, filled with physiological serum, was then tested in 13 patients with type 1 diabetes simultaneously with their own pump for 2 days. The weight difference was used to calculate the infused insulin volume. The JP showed reduced absolute median error rate in vitro over a 15-minute observation window compared to other pumps (1 IU/h): ±1.02% (JP) vs ±1.60% (AN), ±1.66% (AC), ±2.22% (MP), and ±4.63% (OP), P < .0001. But there was no difference over 24 hours. At 0.5 IU/h, the JP was able to detect an occlusion earlier than other pumps: 21 (19; 25) minutes vs 90 (85; 95), 58 (42; 74), and 143 (132; 218) minutes (AN, AC, MP), P < .05 vs AN and MP. In patients, the 24-hour flow error was not significantly different between the JP and usual pumps (–2.2 ± 5.6% vs –0.37 ± 4.0%, P = .25). The JP was found to be easier to wear than conventional pumps. The JP is more precise over a short time period, more sensitive to catheter occlusion, well accepted by patients, and consequently, of potential interest for a closed-loop insulin delivery system.
doi:10.1177/1932296814543946
PMCID: PMC4455475  PMID: 25079676
catheter occlusion; continuous subcutaneous insulin infusion (CSII); insulin delivery accuracy; insulin pump; insulin therapy; microelectromechanical system (MEMS); patch pump; type 1 diabetes
16.  Descriptive study of sedentary behaviours in 35,444 French working adults: cross-sectional findings from the ACTI-Cités study 
BMC Public Health  2015;15:379.
Background
Given the unfavourable health outcomes associated with sedentary behaviours, there is a need to better understand the context in which these behaviours take place to better address this public health concern. We explored self-reported sedentary behaviours by type of day (work/non-work), occupation, and perceptions towards physical activity, in a large sample of adults.
Methods
We assessed sedentary behaviours cross-sectionally in 35,444 working adults (mean ± SD age: 44.5 ± 13.0 y) from the French NutriNet-Santé web-based cohort. Participants self-reported sedentary behaviours, assessed as domain-specific sitting time (work, transport, leisure) and time spent in sedentary entertainment (TV/DVD, computer and other screen-based activities, non-screen-based activities) on workdays and non-workdays, along with occupation type (ranging from mainly sitting to heavy manual work) and perceptions towards physical activity. Associations of each type of sedentary behaviour with occupation type and perceptions towards physical activity were analysed by day type in multiple linear regression analyses.
Results
On workdays, adults spent a mean (SD) of 4.17 (3.07) h/day in work sitting, 1.10 (1.69) h/day in transport sitting, 2.19 (1.62) h/day in leisure-time sitting, 1.53 (1.24) h/day viewing TV/DVDs, 2.19 (2.62) h/day on other screen time, and 0.97 (1.49) on non-screen time. On non-workdays, this was 0.85 (1.53) h/day in transport sitting, 3.19 (2.05) h/day in leisure-time sitting, 2.24 (1.76) h/day viewing TV/DVDs, 1.85 (1.74) h/day on other screen time, and 1.30 (1.35) on non-screen time. Time spent in sedentary behaviours differed by occupation type, with more sedentary behaviour outside of work (both sitting and entertainment time), in those with sedentary occupations, especially on workdays. Negative perceptions towards physical activity were associated with more sedentary behaviour outside of work (both sitting and entertainment time), irrespective of day type.
Conclusions
A substantial amount of waking hours was spent in different types of sedentary behaviours on workdays and non-workdays. Being sedentary at work was associated with more sedentary behaviour outside of work. Negative perceptions towards physical activity may influence the amount of time spent in sedentary behaviours. These data should help to better identify target groups in public health interventions to reduce sedentary behaviours in working adults.
doi:10.1186/s12889-015-1711-8
PMCID: PMC4403769  PMID: 25884816
Sedentary behaviours; Lifestyle; Occupation; Perceptions; Web-based cohort; Adult; France
17.  Spatial heterogeneity of the relationships between environmental characteristics and active commuting: towards a locally varying social ecological model 
Background
According to the social ecological model of health-related behaviors, it is now well accepted that environmental factors influence habitual physical activity. Most previous studies on physical activity determinants have assumed spatial homogeneity across the study area, i.e. that the association between the environment and physical activity is the same whatever the location. The main novelty of our study was to explore geographical variation in the relationships between active commuting (walking and cycling to/from work) and residential environmental characteristics.
Methods
4,164 adults from the ongoing Nutrinet-Santé web-cohort, residing in and around Paris, France, were studied using a geographically weighted Poisson regression (GWPR) model. Objective environmental variables, including both the built and the socio-economic characteristics around the place of residence of individuals, were assessed by GIS-based measures. Perceived environmental factors (index including safety, aesthetics, and pollution) were reported by questionnaires.
Results
Our results show that the influence of the overall neighborhood environment appeared to be more pronounced in the suburban southern part of the study area (Val-de-Marne) compared to Paris inner city, whereas more complex patterns were found elsewhere. Active commuting was positively associated with the built environment only in the southern and northeastern parts of the study area, whereas positive associations with the socio-economic environment were found only in some specific locations in the southern and northern parts of the study area. Similar local variations were observed for the perceived environmental variables.
Conclusions
These results suggest that: (i) when applied to active commuting, the social ecological conceptual framework should be locally nuanced, and (ii) local rather than global targeting of public health policies might be more efficient in promoting active commuting.
doi:10.1186/s12942-015-0002-z
PMCID: PMC4404073  PMID: 25885965
Walking; Cycling; Active transportation; Geographically weighted regression; Spatial non-stationarity
18.  Should the WHO Growth Charts Be Used in France? 
PLoS ONE  2015;10(3):e0120806.
Background
Growth charts are an essential clinical tool for evaluating a child's health and development. The current French reference curves, published in 1979, have recently been challenged by the 2006 World Health Organization (WHO) growth charts.
Objective
To evaluate and compare the growth of French children who were born between 1981 and 2007, with the WHO growth charts and the French reference curves currently used.
Design
Anthropometric measurements from French children, who participated in 12 studies, were analyzed: 82,151 measurements were available for 27,257 children in different age groups, from birth to 18 years. We calculated and graphically compared mean z-scores based on the WHO and French curves, for height, weight and Body Mass Index (BMI) according to age and sex. The prevalence of overweight using the WHO, the French and International Obesity Task Force definitions were compared.
Results
Our population of children was on average 0.5 standard deviations taller than the French reference population, from the first month of life until puberty age. Mean z-scores for height, weight and BMI were closer to zero based on the WHO growth charts than on the French references from infancy until late adolescence, except during the first six months. These differences not related to breastfeeding rates. As expected, the prevalence of overweight depended on the reference used, and differences varied according to age.
Conclusion
The WHO growth charts may be appropriate for monitoring growth of French children, as the growth patterns in our large population of French children were closer to the WHO growth charts than to the French reference curves, from 6 months onwards. However, there were some limitations in the use of these WHO growth charts, and further investigation is needed.
doi:10.1371/journal.pone.0120806
PMCID: PMC4356547  PMID: 25761138
19.  Changes in Sedentary Behaviours and Associations with Physical Activity through Retirement: A 6-Year Longitudinal Study 
PLoS ONE  2014;9(9):e106850.
Changes in sedentary behaviours and physical activity according to retirement status need to be better defined. Retirement is a critical life period that may influence a number of health behaviours. We assessed past-year sedentary behaviours (television, computer and reading time during leisure, occupational and domestic sitting time, in h/week) and physical activity (leisure, occupational and domestic, in h/week) over 6 years (2000–2001 and 2007) using the Modifiable Activity Questionnaire in 2,841 participants (mean age: 57.3±5.0 y) of the SU.VI.MAX (Supplementation with Antioxidants and Minerals) cohort. Analyses were performed according to retirement status. Subjects retired in 2001 and 2007 (40%) were those who spent most time in sedentary behaviour and in physical activity during and outside leisure (p<0.001). Leisure-time sedentary behaviours increased in all subjects during follow-up (p<0.001), but subjects who retired between 2001 and 2007 (31%) were those who reported the greatest changes (+8.4±0.42 h/week for a combined indicator of leisure-time sedentary behaviour). They also had the greatest increase in time spent in leisure-time physical activity (+2.5±0.2 h/week). In subjects not retired 2001 and 2007 (29%), changes in time spent watching television were found positively associated with an increase in occupational physical activity (p = 0.04) and negatively associated with changes in leisure-time physical activity (p = 0.02). No consistent association between changes in sedentary behaviours and changes in physical activity was observed in subjects retired in 2001 and 2007. Public health interventions should target retiring age populations not only to encourage physical activity but also to limit sedentary behaviours.
doi:10.1371/journal.pone.0106850
PMCID: PMC4178017  PMID: 25259801
20.  The environmental correlates of overall and neighborhood based recreational walking (a cross-sectional analysis of the RECORD Study) 
Background
Preliminary evidence suggests that recreational walking has different environmental determinants than utilitarian walking. However, previous studies are limited in their assessment of environmental exposures and recreational walking and in the applied modeling strategies. Accounting for individual sociodemographic profiles and weather over the walking assessment period, the study examined whether numerous street network-based neighborhood characteristics related to the sociodemographic, physical, service, social-interactional, and symbolic environments were associated with overall recreational walking and recreational walking in one’s residential neighborhood and could explain their spatial distribution.
Methods
Based on the RECORD Cohort Study (Paris region, France, n = 7105, 2007–2008 data), multilevel-spatial regression analyses were conducted to investigate environmental factors associated with recreational walking (evaluated by questionnaire at baseline). A risk score approach was applied to quantify the overall disparities in recreational walking that were predicted by the environmental determinants.
Results
Sixty-nine percent of the participants reported recreational walking over the past 7 days. Their mean reported recreational walking time was 3h31mn. After individual-level adjustment, a higher neighborhood education, a higher density of destinations, green and open spaces of quality, and the absence of exposure to air traffic were associated with higher odds of recreational walking and/or a higher recreational walking time in one’s residential neighborhood. As the overall disparities that were predicted by these environmental factors, the odds of reporting recreational walking and the odds of a higher recreational walking time in one’s neighborhood were, respectively, 1.59 [95% confidence interval (CI): 1.56, 1.62] times and 1.81 (95% CI: 1.73, 1.87) times higher in the most vs. the least supportive environments (based on the quartiles).
Conclusions
Providing green/open spaces of quality, building communities with services accessible from the residence, and addressing environmental nuisances such as those related to air traffic may foster recreational walking in one’s environment.
doi:10.1186/1479-5868-11-20
PMCID: PMC3943269  PMID: 24555820
Walking; Recreational activity; Neighborhood environment; Physical and social contexts; Spatial analysis; Geographic Information Systems
21.  SREBP-1 Transcription Factors Regulate Skeletal Muscle Cell Size by Controlling Protein Synthesis through Myogenic Regulatory Factors 
PLoS ONE  2012;7(11):e50878.
SREBP-1 are ubiquitously expressed transcription factors, strongly expressed in lipogenic tissues where they regulate several metabolic processes like fatty acid synthesis. In skeletal muscle, SREBP-1 proteins regulate the expression of hundreds of genes, and we previously showed that their overexpression induced muscle atrophy together with a combined lack of expression of myogenic regulatory factors. Here we present evidences that SREBP-1 regulate muscle protein synthesis through the downregulation of the expression of MYOD1, MYOG and MEF2C factors. In myotubes overexpressing SREBP-1, restoring the expression of myogenic factors prevented atrophy and rescued protein synthesis, without affecting SREBP-1 action on atrogenes and proteolysis. Our results point out the roles of MRFs in the maintenance of the protein content and cell size in adult muscle fibre, and contribute to decipher the mechanisms by which SREBP-1 regulate muscle mass.
doi:10.1371/journal.pone.0050878
PMCID: PMC3511457  PMID: 23226416
22.  Identifying built environmental patterns using cluster analysis and GIS: Relationships with walking, cycling and body mass index in French adults 
Background
Socio-ecological models suggest that both individual and neighborhood characteristics contribute to facilitating health-enhancing behaviors such as physical activity. Few European studies have explored relationships between local built environmental characteristics, recreational walking and cycling and weight status in adults. The aim of this study was to identify built environmental patterns in a French urban context and to assess associations with recreational walking and cycling behaviors as performed by middle-aged adult residents.
Methods
We used a two-step procedure based on cluster analysis to identify built environmental patterns in the region surrounding Paris, France, using measures derived from Geographic Information Systems databases on green spaces, proximity facilities (destinations) and cycle paths. Individual data were obtained from participants in the SU.VI.MAX cohort; 1,309 participants residing in the Ile-de-France in 2007 were included in this analysis. Associations between built environment patterns, leisure walking/cycling data (h/week) and measured weight status were assessed using multinomial logistic regression with adjustment for individual and neighborhood characteristics.
Results
Based on accessibility to green spaces, proximity facilities and availability of cycle paths, seven built environmental patterns were identified. The geographic distribution of built environmental patterns in the Ile-de-France showed that a pattern characterized by poor spatial accessibility to green spaces and proximity facilities and an absence of cycle paths was found only in neighborhoods in the outer suburbs, whereas patterns characterized by better spatial accessibility to green spaces, proximity facilities and cycle paths were more evenly distributed across the region. Compared to the reference pattern (poor accessibility to green areas and facilities, absence of cycle paths), subjects residing in neighborhoods characterized by high accessibility to green areas and local facilities and by a high density of cycle paths were more likely to walk/cycle, after adjustment for individual and neighborhood sociodemographic characteristics (OR = 2.5 95%CI 1.4-4.6). Body mass index did not differ across patterns.
Conclusions
Built environmental patterns were associated with walking and cycling among French adults. These analyses may be useful in determining urban and public health policies aimed at promoting a healthy lifestyle.
doi:10.1186/1479-5868-9-59
PMCID: PMC3441260  PMID: 22620266
Built environment; Urban form; Geographical Information Systems; Cluster analysis; Health-enhancing physical activity; Walking; Cycling; Body Mass Index
23.  Associations of Supermarket Characteristics with Weight Status and Body Fat: A Multilevel Analysis of Individuals within Supermarkets (RECORD Study) 
PLoS ONE  2012;7(4):e32908.
Purpose
Previous research on the influence of the food environment on weight status has often used impersonal measures of the food environment defined for residential neighborhoods, which ignore whether people actually use the food outlets near their residence. To assess whether supermarkets are relevant contexts for interventions, the present study explored between-residential neighborhood and between-supermarket variations in body mass index (BMI) and waist circumference (WC), and investigated associations between brands and characteristics of supermarkets and BMI or WC, after adjustment for individual and residential neighborhood characteristics.
Methods
Participants in the RECORD Cohort Study (Paris Region, France, 2007–2008) were surveyed on the supermarket (brand and exact location) where they conducted their food shopping. Overall, 7 131 participants shopped in 1 097 different supermarkets. Cross-classified multilevel linear models were estimated for BMI and WC.
Results
Just 11.4% of participants shopped for food primarily within their residential neighborhood. After accounting for participants' residential neighborhood, people shopping in the same supermarket had a more comparable BMI and WC than participants shopping in different supermarkets. After adjustment for individual and residential neighborhood characteristics, participants shopping in specific supermarket brands, in hard discount supermarkets (especially if they had a low education), and in supermarkets whose catchment area comprised low educated residents had a higher BMI/WC.
Conclusion
A public health strategy to reduce excess weight may be to intervene on specific supermarkets to change food purchasing behavior, as supermarkets are where dietary preferences are materialized into definite purchased foods.
doi:10.1371/journal.pone.0032908
PMCID: PMC3319546  PMID: 22496738
24.  Reviewing and writing for InnovAiT 
doi:10.3399/bjgp10X539443
PMCID: PMC2965987  PMID: 21062566
25.  Estimating spatial accessibility to facilities on the regional scale: an extended commuting-based interaction potential model 
Background
There is growing interest in the study of the relationships between individual health-related behaviours (e.g. food intake and physical activity) and measurements of spatial accessibility to the associated facilities (e.g. food outlets and sport facilities). The aim of this study is to propose measurements of spatial accessibility to facilities on the regional scale, using aggregated data. We first used a potential accessibility model that partly makes it possible to overcome the limitations of the most frequently used indices such as the count of opportunities within a given neighbourhood. We then propose an extended model in order to take into account both home and work-based accessibility for a commuting population.
Results
Potential accessibility estimation provides a very different picture of the accessibility levels experienced by the population than the more classical "number of opportunities per census tract" index. The extended model for commuters increases the overall accessibility levels but this increase differs according to the urbanisation level. Strongest increases are observed in some rural municipalities with initial low accessibility levels. Distance to major urban poles seems to play an essential role.
Conclusions
Accessibility is a multi-dimensional concept that should integrate some aspects of travel behaviour. Our work supports the evidence that the choice of appropriate accessibility indices including both residential and non-residential environmental features is necessary. Such models have potential implications for providing relevant information to policy-makers in the field of public health.
doi:10.1186/1476-072X-10-2
PMCID: PMC3022635  PMID: 21219597

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