This dataset describes the longer-term impacts of the COVID-19 lockdown on eating patterns, physical activity, body weight and food security among adults living in Western Sydney. Data were collected after lockdown across two periods (May-August 2022 and January-February 2023) from five Local Government Areas, including Cumberland, Fairfield, Liverpool, Blacktown and Canterbury-Bankstown, which experienced more stringent lockdown rules and regulations.
548 adults aged 18 years or more participated in the study in total. Quantitative data were retrieved from 523 participants through an online survey administered through Qualtrics and ASA-24 (a dietary assessment tool). The dietary intake data were measured using ASA-24. Physical activity was assessed with items from the National Nutrition and Physical Activity Survey. Food security was assessed using the six-item USDA Household Food Security Survey Module. Body weight and body height were self-reported. Qualitative data was collected through focus group discussions involving 54 participants, exploring perceived changes in diet, physical activity, body weight and food security across the lockdown and post-lockdown periods.
This mixed-methods design provides a comprehensive view of the behavioural and health impacts of the COVID-19 lockdown. The dataset supports the thesis ‘Snapshots of eating patterns, physical activity, body weight and food security in Western Sydney post COVID-19 lockdown’ and offers a resource for future research on nutrition, physical activity and food security policy in socio-economically diverse populations.
This dataset contains de-identified survey data exported from online surveys. It includes participant demographics (age, gender, country of birth and area of residence), as well as self-reported information on physical activity and food security snapshots collected post-lockdown. The dataset is provided in Excel format. Cross-sectional dietary data collected using ASA-24 Australia (2016) are also included. This dataset contains de-identified dietary intake data provided in Excel format. It includes participant ID alongside energy and nutrient intake variables such as proteins, fats, carbohydrates, sugars, fibre, vitamins, minerals, fatty acids and supplement use. The dataset provides detailed dietary micronutrient and macronutrient information, including vitamins A, B, C, D, E, K, minerals (such as calcium, iron, magnesium, potassium, sodium, zinc, selenium), fatty acid subtypes and dietary supplements reported by participants.
Access to this dataset is mediated by Alexandria Makenna 20641926@student.westernsydney.edu.au ORCID 0000-0001-8873-8939