Browsing by Author "Wallace R"
Now showing 1 - 2 of 2
- Results Per Page
- Sort Options
Item Call for emergency action to restore dietary diversity and protect global food systems in times of COVID-19 and beyond: Results from a cross-sectional study in 38 countries(Elsevier Ltd, 2023-11-07) Hoteit M; Hoteit R; Aljawaldeh A; Van Royen K; Pabian S; Decorte P; Cuykx I; Teunissen L; De Backer C; Bergheim I; Staltner R; Devine A; Sambell R; Wallace R; Allehdan SS; Alalwan TA; Al-Mannai MA; Ouvrein G; Poels K; Vandebosch H; Maldoy K; Matthys C; Smits T; Vrinten J; DeSmet A; Teughels N; Geuens M; Vermeir I; Proesmans V; Hudders L; De Barcellos MD; Ostermann C; Brock AL; Favieiro C; Trizotto R; Stangherlin I; Mafra AL; Correa Varella MA; Valentova JV; Fisher ML; MacEacheron M; White K; Habib R; Dobson DS; Schnettler B; Orellana L; Miranda-Zapata E; Wen-Yu Chang A; Jiao W; Liu MT; Grunert KG; Christensen RN; Reisch L; Janssen M; Abril-Ulloa V; Encalada L; Kamel I; Vainio A; Niva M; Salmivaara L; Mäkelä J; Torkkeli K; Mai R; Risch PK; Altsitsiadis E; Stamos A; Antronikidis A; Henchion M; McCarthy S; McCarthy M; Micalizzi A; Schulz PJ; Farinosi M; Komatsu H; Tanaka N; Kubota H; Tayyem R; Al-Awwad NJ; Al-Bayyari N; Ibrahim MO; Hammouh F; Dashti S; Dashti B; Alkharaif D; Alshatti A; Al Mazedi M; Mansour R; Naim E; Mortada H; Gutierrez Gomez YY; Geyskens K; Goukens C; Roy R; Egli V; Te Morenga L; Waly M; Qasrawi R; Hamdan M; Sier RA; Al Halawa DA; Agha H; Liria Domínguez MR; Palomares L; Wasowicz G; Bawadi H; Tayyem R; Othman M; Pakari J; Abu Farha A; Abu-El-Ruz R; Petrescu DC; Petrescu Mag RM; Arion F; Vesa SC; Alkhalaf MM; Bookari K; Arrish J; Rahim Z; Kheng R; Ngqangashe Y; Mchiza ZJ-R; Gonzalez-Gross M; Pantoja-Arévalo L; Gesteiro E; Ríos Y; Yiga P; Ogwok P; Ocen D; Bamuwamye M; Al Sabbah H; Taha Z; Ismail LC; Aldhaheri A; Pineda E; Miraldo M; Holford DL; Van den Bulck HBackground: The COVID-19 pandemic has revealed the fragility of the global food system, sending shockwaves across countries' societies and economy. This has presented formidable challenges to sustaining a healthy and resilient lifestyle. The objective of this study is to examine the food consumption patterns and assess diet diversity indicators, primarily focusing on the food consumption score (FCS), among households in 38 countries both before and during the first wave of the COVID-19 pandemic. Methods: A cross-sectional study with 37 207 participants (mean age: 36.70 ± 14.79, with 77 % women) was conducted in 38 countries through an online survey administered between April and June 2020. The study utilized a pre-tested food frequency questionnaire to explore food consumption patterns both before and during the COVID-19 periods. Additionally, the study computed Food Consumption Score (FCS) as a proxy indicator for assessing the dietary diversity of households. Findings: This quantification of global, regional and national dietary diversity across 38 countries showed an increment in the consumption of all food groups but a drop in the intake of vegetables and in the dietary diversity. The household's food consumption scores indicating dietary diversity varied across regions. It decreased in the Middle East and North Africa (MENA) countries, including Lebanon (p < 0.001) and increased in the Gulf Cooperation Council countries including Bahrain (p = 0.003), Egypt (p < 0.001) and United Arab Emirates (p = 0.013). A decline in the household's dietary diversity was observed in Australia (p < 0.001), in South Africa including Uganda (p < 0.001), in Europe including Belgium (p < 0.001), Denmark (p = 0.002), Finland (p < 0.001) and Netherland (p = 0.027) and in South America including Ecuador (p < 0.001), Brazil (p < 0.001), Mexico (p < 0.0001) and Peru (p < 0.001). Middle and older ages [OR = 1.2; 95 % CI = [1.125–1.426] [OR = 2.5; 95 % CI = [1.951–3.064], being a woman [OR = 1.2; 95 % CI = [1.117–1.367], having a high education (p < 0.001), and showing amelioration in food-related behaviors [OR = 1.4; 95 % CI = [1.292–1.709] were all linked to having a higher dietary diversity. Conclusion: The minor to moderate changes in food consumption patterns observed across the 38 countries within relatively short time frames could become lasting, leading to a significant and prolonged reduction in dietary diversity, as demonstrated by our findings.Item Source attribution of campylobacteriosis in Australia, 2017-2019.(John Wiley and Sons, Inc., 2023-12-01) McLure A; Smith JJ; Firestone SM; Kirk MD; French N; Fearnley E; Wallace R; Valcanis M; Bulach D; Moffatt CRM; Selvey LA; Jennison A; Cribb DM; Glass KCampylobacter jejuni and Campylobacter coli infections are the leading cause of foodborne gastroenteritis in high-income countries. Campylobacter colonizes a variety of warm-blooded hosts that are reservoirs for human campylobacteriosis. The proportions of Australian cases attributable to different animal reservoirs are unknown but can be estimated by comparing the frequency of different sequence types in cases and reservoirs. Campylobacter isolates were obtained from notified human cases and raw meat and offal from the major livestock in Australia between 2017 and 2019. Isolates were typed using multi-locus sequence genotyping. We used Bayesian source attribution models including the asymmetric island model, the modified Hald model, and their generalizations. Some models included an "unsampled" source to estimate the proportion of cases attributable to wild, feral, or domestic animal reservoirs not sampled in our study. Model fits were compared using the Watanabe-Akaike information criterion. We included 612 food and 710 human case isolates. The best fitting models attributed >80% of Campylobacter cases to chickens, with a greater proportion of C. coli (>84%) than C. jejuni (>77%). The best fitting model that included an unsampled source attributed 14% (95% credible interval [CrI]: 0.3%-32%) to the unsampled source and only 2% to ruminants (95% CrI: 0.3%-12%) and 2% to pigs (95% CrI: 0.2%-11%) The best fitting model that did not include an unsampled source attributed 12% to ruminants (95% CrI: 1.3%-33%) and 6% to pigs (95% CrI: 1.1%-19%). Chickens were the leading source of human Campylobacter infections in Australia in 2017-2019 and should remain the focus of interventions to reduce burden.
