Uriel Martinez-Hernandez, Gregory West, Tareq Assaf
Low-Cost Recognition of Plastic Waste Using Deep Learning and a Multi-Spectral Near-Infrared Sensor
Sensors (Basel, Switzerland)
research investigates trends pertaining prevalence low fruit vegetable consumption among labor force population china study considered data derived four nationally representative crosssectional surveys data review study derived china chronic disease risk factor surveillance ccdrfs carried 2010 2013 2015 2018 correspondingly utilized food frequency questionnaire evaluate quantity frequency fruit vegetable consumption estimated prevalence low fruit vegetable consumption calculated survey considering factors sex age location socioeconomic status ses participants ses ascertained via latent class analysis serving identify distinct classes based criteria education occupation household income per capita logistic regression deployed determine statistical significance trends 2010 2018 notable increase average daily consumption vegetables fruits among working population rising 4186 gday 4918 gday p001 trend period prevalence low fruit vegetable intake declined 511 435 p0001 trend 16 average annual percent change aapc downward trend prevalent across genders however certain subgroups adults eg living rural areas low ses saw stable consumption levels throughout period p005 trend past nine years notable decline prevalence low fruit vegetable consumption among labor force population china moreover comparatively deficient intake fruits vegetables evident among individuals lower ses warrants attention