Suchergebnisse

Purpose: This study aims to investigate the impact of disadvantaged neighborhoods and lifestyle factors on obesity among Australian adults. Design: Quantitative, longitudinal research design. Setting: Cohort. Sample: Data for this study came from a cohort of 10 734 adults (21 468 observations) who participated in the Household, Income and Labour Dynamics in Australia survey. The participants were interviewed at baseline in 2013 and were followed up in 2017. Measures: Generalized Estimating Equation model with logistic link function was employed to examine within-person changes in obesity due to disadvantaged neighborhoods and lifestyle factors at 2-time points over a 4-year follow-up period. Results: Adults living in the most disadvantaged area were 1.22 (odds ratio [OR]: 1.22, 95% CI: 1.08-1.38) and 1.30 (OR: 1.30, 95% CI: 1.20-1.42) times, respectively, more prone to be overweight and obese compared with peers living at least disadvantaged area. Study results also revealed that adults who consume fruits regularly and perform high levels of physical activity were 6% (OR: 0.94, 95% CI: 0.91-0.98) and 12% (OR: 0.88, 95% CI: 0.85-0.92) less likely to be obese, respectively, compared to their counterparts. Current alcohol drinkers were 1.07 (OR: 1.07, 95% CI: 1.01-1.13) times more likely to be obese compared to peers not consuming alcohol. Highly psychologically distressed adults were 1.08 times (OR: 1.08, 95% CI: 1.02-1.13) more likely to be obese than their peers. Conclusion: This study contributes to the literature regarding disadvantaged neighborhoods and lifestyle factors, which have an influence on adult obesity rates and thus help health decision-makers to formulate effective obesity prevention strategies.

Objective: This study aimed to examine the longitudinal association between 9 job-related characteristics and obesity among Australian employees using a nationally representative sample. Design: Longitudinal research design. Setting: Workplace. Participants: This study was conducted by pooling 2 cross-sectional surveys of nationally representative longitudinal data collected across 2-time points in 2013 and 2017. This study limited the sample to current employees aged 15 to 64 years. The total number of observation included in the analysis is 16 980 of 11 521 employees. Measures: The outcome variable is weight status and the main exposure variables are 9 job-related characteristics (work hours per week, work schedule, job type, employment contract type, firm size, supervisory responsibility, paid sick leave, self-perceived job stress, and self-perceived job insecurity). Generalized estimating equation logistic regression was employed to explore the association between job-related characteristics and obesity. Results: This study found that 59% of Australian employees were either overweight or obese. Employees working more than 40 hours per week were 1.11 times (odds ratio [OR]: 1.11, 95% confidence interval [CI]: 1.03-1.21) and 1.07 times (OR: 1.07, 95% CI: 1.01-1.13) more prone to become overweight and obese, respectively, compared to their counterparts who work 31 to 40 hours per week. The study also revealed that self-perceived job insecurity was positively associated with obesity (OR: 1.03, 95% CI: 1.02-1.04). However, this study did not find evidence that work schedule, job type, employment contract, firm size, supervisory role, paid sick leave, and self-perceived job stress were associated with obesity. Conclusions: Working more than 40 hours per week and self-perceived job insecurity were significantly associated with obesity among Australian employees. A better understanding of why prolonged work hours and self-perceived job insecurity are associated with obesity may help policy makers to implement workplace wellness policies and for employers to take measures to tackle the obesity problem of their employees.

AbstractPeople who are overweight and obese suffer from significant health impacts that have increased globally. Concurrently, usage of information and communication devices such as television and mobile phones have also been growing, affecting people's weight. This study examined the association between watching television and owning a mobile phone with overweight and obesity among reproductive-aged women in low- and lower-middle-income countries (LLMICs). Data of 21 LLMICs reported between 2015 and 2020 were collected from the Demographic and Health Surveys. Multivariate logistic regression was performed to determine the association into three pooled segments: a group of 21 countries, the World Bank income classification and the regional categorisation of the countries. The all-inclusive prevalence of overweight or obesity was found at 27.1% among 175,370 reproductive-aged women, and this prevalence varied among countries. Overall, the odds of being overweight or obese were 1.20 (adjusted odds ratio [AOR]=1.20, 95% confidence interval [CI]: 1.15–1.24), 1.40 (AOR=1.40, 95% CI: 1.35–1.44) and 1.18 (AOR=1.18, 95% CI: 1.03–1.35) times higher among those who watched television less than once a week, at least once a week and almost every day, respectively, compared with those who did not watch television. Besides, women's mobile phone ownership is more likely to experience overweight or obesity (AOR=1.72, 95% CI: 1.67–1.77). Consistent results were found for the countries categorised according to the World Bank income and regional classification. Focus on sedentary behaviour, such as television watching and mobile phone use, of women and regional or country-specific innovative strategies and programs are of great immediate importance to decrease the prevalence of overweight and obesity.

BACKGROUND: Health status is a crucial determinant of an individuals' labour market outcomes. The present study investigates the association between obesity and disability with perceived employment discrimination within Australia. METHODS: A total of 17,174 person-year observations from the 11,079 respondents were analysed using four waves of data from the Household, Income, and Labour Dynamics in Australia (HILDA) survey. The primary outcome examined was employment discrimination, using obesity and disability as the main exposure variables. The longitudinal random-effects regression technique was applied to investigate the between-person differences in employment discrimination associated with obesity and disability. RESULTS: The findings suggest that more than one in ten (12.68 %) Australians experienced employment discrimination. The odds of being discriminated against while applying for a job were 1.56 times (aOR: 1.56, 95 % CI: 1.15–2.11) higher for obese than their healthy weight counterparts in youngest women. Adults with a disability had 1.89 times (aOR: 1.89, 95 % CI: 1.65–2.17) higher odds of being discriminated against than peers without disability. CONCLUSION: The results provide evidence that obesity and disability contribute to employment discrimination in Australia. The findings can assist government and related agencies to consider the adequacy of existing discrimination legislation and help organisations to develop appropriate policies to address discrimination against obese and disabled people in their workplaces.

Background Health status is a crucial determinant of an individuals' labour market outcomes. The present study investigates the association between obesity and disability with perceived employment discrimination within Australia. Methods A total of 17,174 person-year observations from the 11,079 respondents were analysed using four waves of data from the Household, Income, and Labour Dynamics in Australia (HILDA) survey. The primary outcome examined was employment discrimination, using obesity and disability as the main exposure variables. The longitudinal random-effects regression technique was applied to investigate the between-person differences in employment discrimination associated with obesity and disability. Results The findings suggest that more than one in ten (12.68 %) Australians experienced employment discrimination. The odds of being discriminated against while applying for a job were 1.56 times (aOR: 1.56, 95 % CI: 1.15–2.11) higher for obese than their healthy weight counterparts in youngest women. Adults with a disability had 1.89 times (aOR: 1.89, 95 % CI: 1.65–2.17) higher odds of being discriminated against than peers without disability. Conclusion The results provide evidence that obesity and disability contribute to employment discrimination in Australia. The findings can assist government and related agencies to consider the adequacy of existing discrimination legislation and help organisations to develop appropriate policies to address discrimination against obese and disabled people in their workplaces.

Syed Afroz Keramat,1– 3 Khorshed Alam,1,3 Bright Opoku Ahinkorah,4 Md Sariful Islam,2 Md Irteja Islam,1,3 Md Zobayer Hossain,5 Sazia Ahmed,2 Jeff Gow,1,6 Stuart JH Biddle3 1School of Business, University of Southern Queensland, Toowoomba, QLD, 4350, Australia; 2Economics Discipline, Social Science School, Khulna University, Khulna, 9208, Bangladesh; 3Centre for Health Research, University of Southern Queensland, Toowoomba, QLD, 4350, Australia; 4School of Public Health, University of Technology Sydney, Sydney, Australia; 5Development Studies Discipline, Social Science School, Khulna University, Khulna, 9208, Bangladesh; 6School of Accounting, Economics, and Finance, University of KwaZulu-Natal, Durban, 4000, South AfricaCorrespondence: Syed Afroz Keramat Email afroz.keramat@usq.edu.auBackground: Both obesity and disability have been widely recognised as major public health challenges because they play significant roles in determining self-perceived general and mental health. Longitudinal studies of the relationship between obesity and disability with self-reported health outcomes are scarce. Therefore, the objective of the present study is to examine the relationship between obesity and disability with self-perceived general and mental health among Australian adults aged 15 years and above.Methods: Data were extracted from the most recent 14 waves (waves 6 through 19) of the annual individual person dataset of the Household, Income and Labour Dynamics in Australia (HILDA) survey. The longitudinal random-effects logistic regression model was adopted to investigate the relationships between obesity and disability with self-reported health outcomes.Results: The results revealed that obese individuals and adults with some form of disability are more likely to report poor or fair general and mental health. The odds of self-reporting poor or fair general health were 2.40 and 6.07 times higher among obese (aOR: 2.40, 95% CI: 2.22– 2.58) and adults with some form of disability (aOR: 6.07, 95% CI: 5.77– 6.39), respectively, relative to adults with healthy weight and those without disability . The results also showed that self-rated poor or fair mental health were 1.22 and 2.40 times higher among obese adults (aOR: 1.22, 95% CI: 1.15– 1.30) and adults with disability (aOR: 2.40, 95% CI: 2.30– 2.51), respectively, compared to their healthy weight peers and peers without disability.Conclusion: As governmental and non-governmental organisations seek to improve the community's physical and mental well-being, these organisations need to pay particular attention to routine health care prevention, specific interventions, and treatment practices, especially for obese and/or people with disabilities.Keywords: Australia, disability, mental health, obesity, self-perceived general health

Background: Both obesity and disability have been widely recognised as major public health challenges because they play significant roles in determining self-perceived general and mental health. Longitudinal studies of the relationship between obesity and disability with self-reported health outcomes are scarce. Therefore, the objective of the present study is to examine the relationship between obesity and disability with self-perceived general and mental health among Australian adults aged 15 years and above. Methods: Data were extracted from the most recent 14 waves (waves 6 through 19) of the annual individual person dataset of the Household, Income and Labour Dynamics in Australia (HILDA) survey. The longitudinal random-effects logistic regression model was adopted to investigate the relationships between obesity and disability with self-reported health outcomes. Results: The results revealed that obese individuals and adults with some form of disability are more likely to report poor or fair general and mental health. The odds of self-reporting poor or fair general health were 2.40 and 6.07 times higher among obese (aOR: 2.40, 95% CI: 2.22– 2.58) and adults with some form of disability (aOR: 6.07, 95% CI: 5.77– 6.39), respectively, relative to adults with healthy weight and those without disability . The results also showed that self-rated poor or fair mental health were 1.22 and 2.40 times higher among obese adults (aOR: 1.22, 95% CI: 1.15– 1.30) and adults with disability (aOR: 2.40, 95% CI: 2.30– 2.51), respectively, compared to their healthy weight peers and peers without disability. Conclusion: As governmental and non-governmental organisations seek to improve the community's physical and mental well-being, these organisations need to pay particular attention to routine health care prevention, specific interventions, and treatment practices, especially for obese and/or people with disabilities.

BACKGROUND: Both obesity and disability have been widely recognised as major public health challenges because they play significant roles in determining self-perceived general and mental health. Longitudinal studies of the relationship between obesity and disability with self-reported health outcomes are scarce. Therefore, the objective of the present study is to examine the relationship between obesity and disability with self-perceived general and mental health among Australian adults aged 15 years and above. METHODS: Data were extracted from the most recent 14 waves (waves 6 through 19) of the annual individual person dataset of the Household, Income and Labour Dynamics in Australia (HILDA) survey. The longitudinal random-effects logistic regression model was adopted to investigate the relationships between obesity and disability with self-reported health outcomes. RESULTS: The results revealed that obese individuals and adults with some form of disability are more likely to report poor or fair general and mental health. The odds of self-reporting poor or fair general health were 2.40 and 6.07 times higher among obese (aOR: 2.40, 95% CI: 2.22–2.58) and adults with some form of disability (aOR: 6.07, 95% CI: 5.77–6.39), respectively, relative to adults with healthy weight and those without disability . The results also showed that self-rated poor or fair mental health were 1.22 and 2.40 times higher among obese adults (aOR: 1.22, 95% CI: 1.15–1.30) and adults with disability (aOR: 2.40, 95% CI: 2.30–2.51), respectively, compared to their healthy weight peers and peers without disability. CONCLUSION: As governmental and non-governmental organisations seek to improve the community's physical and mental well-being, these organisations need to pay particular attention to routine health care prevention, specific interventions, and treatment practices, especially for obese and/or people with disabilities.