Ferdi Botha

Dr. Ferdi Botha

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Research Focus & Metrics

Academic Career Length

16Years (2011-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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24 October 2013 in Social Indicators Research
Verified
Journal Article
Closed access
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FBFerdi Botha
Ferdi Botha
FBFrikkie Booysen
Frikkie Booysen

4 January 2021 in Journal of Population Economics
Verified
Journal Article
Closed access
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FBFerdi Botha
Ferdi Botha
JNJohn P. de New
John P. de New
SNSonja C. de New
Sonja C. de New
DRDavid C. Ribar
David C. Ribar
NSNicolás Salamanca
Nicolás Salamanca

27 November 2023 in Proceedings of the National Academy of Sciences
Verified
Journal Article
Open access
FBFerdi Botha
Ferdi Botha
RMRichard W. Morris
Richard W. Morris
PBPeter Butterworth
Peter Butterworth
NGNick Glozier
Nick Glozier
Given the observed deterioration in mental health among Australians over the past decade, this study investigates to what extent this differs in people born in different decades—i.e., possible birth cohort differences in the mental health of Australians. Using 20 y of data from a large, nationally representative panel survey ( N = 27,572), we find strong evidence that cohort effects are driving the increase in population-level mental ill-health. Deteriorating mental health is particularly pronounced among people born in the 1990s and seen to a lesser extent among the 1980s cohort. There is little evidence that mental health is worsening with age for people born prior to the 1980s. The findings from this study highlight that it is the poorer mental health of Millennials that is driving the apparent deterioration in population-level mental health. Understanding the context and changes in society that have differentially affected younger people may inform efforts to ameliorate this trend and prevent it continuing for emerging cohorts.

24 November 2023 in SSM - Population Health
Verified
Journal Article
Open access
FBFerdi Botha
Ferdi Botha
SDSarah C. Dahmann
Sarah C. Dahmann
We provide the first empirical evidence on the direct link between locus of control and self-control, and how they interact in explaining a range of health outcomes. Using rich Australian survey data, we find that, while the two traits are distinct constructs, a greater internal locus of control is associated with higher self-control. The association between locus of control and health is reduced once we control for self-control, suggesting that self-control mediates at least part of this relationship. Finally, an internal locus of control amplifies the beneficial effects of self-control particularly for physical health.

22 January 2021 in BMC Public Health
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Journal Article
Open access
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FBFrederik Booysen
Frederik Booysen
FBFerdi Botha
Ferdi Botha
EWEdwin Wouters
Edwin Wouters
Social determinants of health frameworks are standard tools in public health. These frameworks for the most part omit a crucial factor: the family. Socioeconomic status moreover is a prominent social determinant of health. Insofar as family functioning is poorer in poor families and family structure and functioning are linked to health, it is critical to consider the pathways between these four constructs. In this correspondence, we reflect on how empirical studies of this conceptual nexus mirror two causal models. We conclude by reflecting on future directions for research in this field.

19 January 2023 in Social Science & Medicine
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Journal Article
Open access
ALAng Li
Ang Li
MTMathew Toll
Mathew Toll
EMErika Martino
Erika Martino
IWIlan Wiesel
Ilan Wiesel
FBFerdi Botha
Ferdi Botha
RBRebecca Bentley
Rebecca Bentley
Extreme weather and climate-related disaster events are associated with a range of adverse health outcomes. People are not equally vulnerable to the adversity, experiencing varied patterns of long-term health trajectories in recovery depending on their vulnerabilities, capacities, and resiliencies. This study aims to identify latent mental and physical health trajectories and their associations with person- and place-based pre-disaster predictors. Using an Australian, population-based, longitudinal dataset spanning 2009-19, group-based multi-trajectory modelling was applied to identify the distinct mental, social, emotional, and physical health trajectories of people who had experienced damage to their home following a climate-related disaster event. Multinomial logistic regression was used to assess a series of social vulnerability predictors (demographic, socioeconomic, housing, health, neighbourhood, and geographical) of health patterns. We identified three distinct health trajectories. Most individuals experienced small or minimal health impacts at the time of the disaster year followed by a fast recovery. However, one-fifth of the exposed population were severely affected during and post disaster. This cohort had the worst mental and physical health prior to the disaster and experienced the largest decreases in mental and physical health and the lowest recoveries. Pre-existing mental and physical conditions were the most substantial risk factors, increasing the probability of experiencing high impact and slow recovery by 61% for mental health and 51% for physical health. In addition, vulnerability in the form of housing affordability stress, lower household income, and lack of community attachment, participation and safety were also significant independent risk factors for ongoing post-disaster health problems. Critically, people's mental and physical health recovery is dependent on pre-disaster vulnerabilities in health, resource access, and capacities. These findings could assist policymakers and health practitioners to more effectively target people most at risk and design prevention and response strategies to prevent the exacerbation of poor health and wellbeing.