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Rowland G, Hindman E, Hassmén P, Radford K, Draper B, Cumming R, Daylight G, Garvey G, Delbaere K, Broe T. Depression, childhood trauma, and physical activity in older Indigenous Australians. Int Psychogeriatr 2023; 35:259-269. [PMID: 33715656 DOI: 10.1017/s1041610221000132] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
OBJECTIVES Indigenous Australians experience higher levels of psychological distress compared to the general population. Physical activity is a culturally acceptable approach, associated with reduction of depressive symptoms. The protective properties of physical activity for depressive symptoms are yet to be evaluated in older Indigenous Australians. DESIGN A two-phase study design comprised of a qualitative thematic analysis following a quantitative regression and moderation analysis. PARTICIPANTS Firstly, a total of 336 Indigenous Australians aged 60 years and over from five NSW areas participated in assessments on mental health, physical activity participation, and childhood trauma. Secondly, a focus group of seven Indigenous Australians was conducted to evaluate barriers and facilitators to physical activity. MEASUREMENTS Regression and moderation analyses examined links between depression, childhood trauma, and physical activity. Thematic analysis was conducted exploring facilitators and barriers to physical activity following the focus group. RESULTS Childhood trauma severity and intensity of physical activity predicted depressive symptoms. Physical activity did not affect the strength of the relationship between childhood trauma and depression. Family support and low impact activities facilitated commitment to physical activity. In contrast, poor mental health, trauma, and illness acted as barriers. CONCLUSION Physical activity is an appropriate approach for reducing depressive symptoms and integral in maintaining health and quality of life. While situational factors, health problems and trauma impact physical activity, accessing low-impact group activities with social support was identified to help navigate these barriers.
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Affiliation(s)
- Georgia Rowland
- Southern Cross University, School of Health and Human Sciences, Australia
| | - Emily Hindman
- Southern Cross University, School of Health and Human Sciences, Australia
- Abcare, Australia
| | - Peter Hassmén
- Southern Cross University, School of Health and Human Sciences, Australia
| | - Kylie Radford
- Neuroscience Research Australia, Australia
- University of New South Wales, NSW, Australia
| | - Brian Draper
- University of New South Wales, NSW, Australia
- Prince of Wales Hospital, Randwick, NSW, Australia
| | | | | | - Gail Garvey
- Menzies School of Health Research, Brisbane, QLD, Australia
| | - Kim Delbaere
- Neuroscience Research Australia, Australia
- University of New South Wales, NSW, Australia
| | - Tony Broe
- Neuroscience Research Australia, Australia
- University of New South Wales, NSW, Australia
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Thurber KA, Long J, Salmon M, Cuevas AG, Lovett R. Sugar-sweetened beverage consumption among Indigenous Australian children aged 0-3 years and association with sociodemographic, life circumstances and health factors. Public Health Nutr 2020; 23:295-308. [PMID: 31455456 PMCID: PMC6988377 DOI: 10.1017/s1368980019001812] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2018] [Revised: 04/10/2019] [Accepted: 04/16/2019] [Indexed: 11/13/2022]
Abstract
OBJECTIVE To explore beverage intake and associations between sugar-sweetened beverage (SSB) intake and sociodemographic, life circumstances, health and well-being factors in a national cohort of Indigenous children. DESIGN We calculated prevalence ratios for any SSB consumption across exposures, using multilevel Poisson regression (robust variance), adjusted for age group and remoteness. A key informant focus group contextualised these exploratory findings. SETTING Diverse settings across Australia. PARTICIPANTS Families of Indigenous children aged 0-3 years, in the Longitudinal Study of Indigenous Children. RESULTS Half (50·7 %, n 473/933) of children had ever consumed SSB at survey, increasing from 29·3 % of 0-12-month-olds to 65·7 % of 18-36-month-olds. SSB consumption prevalence was significantly lower in urban and regional v. remote areas, and in families experiencing socio-economic advantage (area-level advantage, caregiver employed, financial security), better life circumstances (caregiver social support, limited exposure to stressors) and caregiver well-being (non-smoking, social and emotional well-being, physical health). SSB consumption prevalence was significantly lower among those engaged with health services (adequate health-service access, regular prenatal check-ups), except SSB consumption prevalence was higher among those who received home visits from an Aboriginal Health Worker compared with no home visits. Key informants highlighted the role of water quality/safety on SSB consumption. CONCLUSIONS A substantial proportion of Indigenous children in this sample consumed SSB from an early age. Health provider information needs to be relevant to the context of families' lives. Health system strategies must be paired with upstream strategies, such as holistic support programmes for families, reducing racism and improving water quality.
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Affiliation(s)
- Katherine A Thurber
- National Centre for Epidemiology and Population Health, Research School of Population Health, Australian National University, 54 Mills Road, Acton, ACT2602, Australia
| | - Johanna Long
- Medical School, Australian National University, Acton, ACT, Australia
| | - Minette Salmon
- National Centre for Epidemiology and Population Health, Research School of Population Health, Australian National University, 54 Mills Road, Acton, ACT2602, Australia
| | - Adolfo G Cuevas
- Department of Community Health, Tufts University, Medford, MA, USA
| | - Raymond Lovett
- National Centre for Epidemiology and Population Health, Research School of Population Health, Australian National University, 54 Mills Road, Acton, ACT2602, Australia
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Byrne R, Bell L, Taylor RW, Mauch C, Mihrshahi S, Zarnowiecki D, Hesketh KD, Wen LM, Trost SG, Golley R. Brief tools to measure obesity-related behaviours in children under 5 years of age: A systematic review. Obes Rev 2019; 20:432-447. [PMID: 30468286 DOI: 10.1111/obr.12801] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/01/2018] [Revised: 09/24/2018] [Accepted: 10/04/2018] [Indexed: 12/13/2022]
Abstract
INTRODUCTION Valid and reliable tools for measuring obesity-related behaviours in young children that are brief and can be administered quickly and cost-effectively in large-scale population studies are needed. The objectives of this systematic review were to describe brief tools that measure dietary intake, physical activity, sedentary behaviour, and sleep in young children. METHODS A systematic review of studies published in English in six databases (CINAHL, Medline, Embase, PsycINFO, HaPI, and Cochrane) prior to April 2018 was undertaken using the PROSPERO protocol and PRISMA guidelines. Included studies were those reporting the psychometric properties of brief (≤15 items) tools that measure dietary, activity, or sleep-related behaviours, alone or in combination, in children birth to 4.9 years of age. RESULTS The search identified 11 379 papers, 200 full-text articles were screened for eligibility, and 12 met the inclusion criteria. Three studies measured two behavioural domains, while most assessed a single behaviour (three diet, five physical activity, one sleep, and none sedentary behaviour). Only two (one diet, one sleep) focused on the under 2 age group. Few studies assessed reliability, and validity and findings were mixed. CONCLUSIONS There is a need to develop brief tools to measure early life obesity-related behaviours, particularly those assessing sedentary behaviour and sleep and tools that cover multiple domains.
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Affiliation(s)
- Rebecca Byrne
- Institute of Health and Biomedical Innovation, Centre for Children's Health Research, Queensland University of Technology, Brisbane, Australia.,NHMRC Centre of Research Excellence in the Early Prevention of Obesity in Childhood, Sydney School of Public Health, Level 6, Charles Perkins Centre, University of Sydney, Sydney, Australia
| | - Lucy Bell
- NHMRC Centre of Research Excellence in the Early Prevention of Obesity in Childhood, Sydney School of Public Health, Level 6, Charles Perkins Centre, University of Sydney, Sydney, Australia.,College of Nursing and Health Sciences, Flinders University, Adelaide, Australia
| | - Rachael W Taylor
- NHMRC Centre of Research Excellence in the Early Prevention of Obesity in Childhood, Sydney School of Public Health, Level 6, Charles Perkins Centre, University of Sydney, Sydney, Australia.,Department of Medicine, University of Otago, Dunedin, New Zealand
| | - Chelsea Mauch
- NHMRC Centre of Research Excellence in the Early Prevention of Obesity in Childhood, Sydney School of Public Health, Level 6, Charles Perkins Centre, University of Sydney, Sydney, Australia.,College of Nursing and Health Sciences, Flinders University, Adelaide, Australia
| | - Seema Mihrshahi
- NHMRC Centre of Research Excellence in the Early Prevention of Obesity in Childhood, Sydney School of Public Health, Level 6, Charles Perkins Centre, University of Sydney, Sydney, Australia.,Faculty of Medicine and Health, Sydney School of Public Health, University of Sydney, Sydney, Australia
| | - Dorota Zarnowiecki
- NHMRC Centre of Research Excellence in the Early Prevention of Obesity in Childhood, Sydney School of Public Health, Level 6, Charles Perkins Centre, University of Sydney, Sydney, Australia.,College of Nursing and Health Sciences, Flinders University, Adelaide, Australia
| | - Kylie D Hesketh
- NHMRC Centre of Research Excellence in the Early Prevention of Obesity in Childhood, Sydney School of Public Health, Level 6, Charles Perkins Centre, University of Sydney, Sydney, Australia.,School of Exercise and Nutrition Science, Deakin University, Institute for Physical Activity and Nutrition, Geelong, Australia
| | - Li Ming Wen
- NHMRC Centre of Research Excellence in the Early Prevention of Obesity in Childhood, Sydney School of Public Health, Level 6, Charles Perkins Centre, University of Sydney, Sydney, Australia.,Faculty of Medicine and Health, Sydney School of Public Health, University of Sydney, Sydney, Australia
| | - Stewart G Trost
- Institute of Health and Biomedical Innovation, Centre for Children's Health Research, Queensland University of Technology, Brisbane, Australia.,NHMRC Centre of Research Excellence in the Early Prevention of Obesity in Childhood, Sydney School of Public Health, Level 6, Charles Perkins Centre, University of Sydney, Sydney, Australia
| | - Rebecca Golley
- NHMRC Centre of Research Excellence in the Early Prevention of Obesity in Childhood, Sydney School of Public Health, Level 6, Charles Perkins Centre, University of Sydney, Sydney, Australia.,College of Nursing and Health Sciences, Flinders University, Adelaide, Australia
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