Genome mining for ribosomally synthesized and post-translationally modified peptides (RiPPs) in Streptomyces bacteria.

Ribosomally synthesized post-translationally modified peptides (RiPPs) are a novel category of bioactive natural products (NPs). Streptomyces bacteria are a potential source of many bioactive NPs. Limited opportunities are available to characterize all the bioactive NP gene clusters. In this study, 410 sequences of Streptomyces were analyzed for RiPPs through genome mining using the National Center for Biotechnology Information (NCBI), by combining BAGEL and anti-SMASH. A total of 4098 RiPPs were found; including both classified (lanthipeptide, RiPP-like, bacteriocin, LAPs, lassopeptide, thiopeptides) and nonclassified RiPPs. Soil was identified as a rich habitat for RiPPs. These data may offer alternative future remedies for various health issues.

Socio-demographic factors and mental health trajectories in Australian children and primary carers: Implications for policy and intervention using latent class analysis.

Children's mental health status (MHS) is frequently influenced by their primary carers (PCs), underscoring the significance of monitoring disparities longitudinally. This research investigated the association between socio-demographic clusters and mental health trajectories among children and their PCs over time. Data from waves 6-9c2 of the Longitudinal Study of Australian Children (LSAC) were analyzed using Latent Class Analysis (LCA) to identify four socio-demographic classes among children aged 10-11 years at wave 6. Multinomial logistic regression and predictive marginal analysis explored associations between classes and mental health outcomes. PCs in Class 4 (disadvantaged and separated families with indigenous children) exhibited higher odds of borderline and abnormal MHS compared to Class 1 (prosperous and stable working families) across all waves. However, while MHS of PCs' impacted children consistently, the association with socio-demographic classes was significant only in wave 6. Class 4 children had elevated risks of mental illness compared to Class 1, while Class 3, characterized by educated working mothers, had lower risks. Reducing mental health risks entails addressing socio-economic disparities, supporting stable family structures, and offering tailored interventions like counseling and co-parenting support. Longitudinal monitoring and culturally sensitive approaches are crucial for promoting mental well-being across diverse groups.

Common molecular and pathophysiological underpinnings of delirium and Alzheimer's disease: molecular signatures and therapeutic indications.

BACKGROUND: Delirium and Alzheimer's disease (AD) are common causes of cognitive dysfunction among older adults. These neurodegenerative diseases share a common and complex relationship, and can occur individually or concurrently, increasing the chance of permanent mental dysfunction. However, the common molecular pathophysiology, key proteomic biomarkers, and functional pathways are largely unknown, whereby delirium is superimposed on AD and dementia. METHODS: We employed an integrated bioinformatics and system biology analysis approach to decipher such common key proteomic signatures, pathophysiological links between delirium and AD by analyzing the gene expression data of AD-affected human brain samples and comparing them with delirium-associated proteins. The present study identified the common drug target hub-proteins examining the protein-protein interaction (PPI) and gene regulatory network analysis. The functional enrichment and pathway analysis was conducted to reveal the common pathophysiological relationship. Finally, the molecular docking and dynamic simulation was used to computationally identify and validate the potential drug target and repurposable drugs for delirium and AD. RESULTS: We detected 99 shared differentially expressed genes (sDEGs) associated with AD and delirium. The sDEGs-set enrichment analysis detected the transmission across chemical synapses, neurodegeneration pathways, neuroinflammation and glutamatergic signaling pathway, oxidative stress, and BDNF signaling pathway as the most significant signaling pathways shared by delirium and AD. The disease-sDEGs interaction analysis highlighted the other disease risk factors with delirium and AD development and progression. Among the sDEGs of delirium and AD, the top 10 hub-proteins including ALB, APP, BDNF, CREB1, DLG4, GAD1, GAD2, GFAP, GRIN2B and GRIN2A were found by the PPI network analysis. Based on the maximum molecular docking binding affinities and molecular dynamic simulation (100 ns) results, the ALB and GAD2 were found as prominent drug target proteins when tacrine and donepezil were identified as potential drug candidates for delirium and AD. CONCLUSION: The study outlined the common key biomolecules and biological pathways shared by delirium and AD. The computationally reported potential drug molecules need a deeper investigation including clinical trials to validate their effectiveness. The outcomes from this study will help to understand the typical pathophysiological relationship between delirium and AD and flag future therapeutic development research for delirium.

Age and Gender Differences in the Relationship Between Chronic Pain and Dementia Among Older Australians.

OBJECTIVES: Chronic pain is a highly debilitating condition that affects older adults and has the potential to increase their odds of experiencing cognitive impairment. The primary objective of this study was to examine the correlation between chronic pain and dementia. Additionally, this research endeavors to ascertain whether the association between chronic pain and dementia differs by age and gender. METHODS: Cross-sectional data were derived from the Survey of Disability, Ageing, and Carers. A total of 20 671 and 20 081 participants aged 65 years and older in 2015 and 2018, respectively, were included in this study. The pooled association between chronic pain and dementia was assessed using a multivariable logistic regression model. Furthermore, the study also examined the multiplicative interaction effects between chronic pain and age, as well as chronic pain and gender, with dementia. RESULTS: The pooled analysis demonstrated that chronic pain was associated with a heightened odds of dementia (adjusted odds ratio 1.95; 95% CI 1.85-2.05) among older Australians compared with their counterparts without chronic pain. The interaction effect indicated that individuals with chronic pain across all age groups exhibited increased odds of living with dementia. Additionally, women with chronic pain had higher odds of dementia compared with their counterparts without chronic pain and being male. CONCLUSIONS: A continuous, coordinated, and tailored healthcare strategy is necessary to determine the pain management goals and explore early treatment options for chronic pain in older adults, particularly in groups with the greatest need.

Can digital innovation transform rural primary health care? A systematic review protocol.

INTRODUCTION: Digital technology is increasingly being adopted within primary healthcare services to improve service delivery and health outcomes; however, the scope for digital innovation within primary care services in rural areas is currently unknown. This systematic review aims to synthesise existing research on the use and integration of digital health technology within primary care services for rural populations across the world. METHODS AND ANALYSIS: A systematic approach to the search strategy will be conducted. Relevant medical and healthcare-focused electronic databases will be searched using key search terms between January 2013 and December 2023. Searches will be conducted using specific inclusion and exclusion criteria. A systematic study selection and data extraction process will be implemented, using standardised templates. Outcomes will be reported using the Preferred Reporting Items for Systematic Reviews and Meta-analyses- Protocol statement guidelines. Quality assessment and risk of bias appraisal will be conducted using the Mixed Methods Appraisal Tool. ETHICS AND DISSEMINATION: Ethical approval will not be required because there is no individual patient data collected or reviewed. The finding of this review will be disseminated through peer-reviewed publications and conference presentations. Outcomes will help to understand existing knowledge and identify gaps in delivering digital healthcare services, while also providing potential future practice and policy recommendations. PROSPERO REGISTRATION NUMBER: CRD42023477233.

A Systematic Literature Review of Substance-Use Prevention Programs Amongst Refugee Youth.

This paper aims at exploring existing literature on substance use prevention programs, focusing on refugee youth. A comprehensive search for relevant articles was conducted on Scopus, PubMed, and EBSCOhost Megafile databases including Academic Search Ultimate, APA PsycArticles, APA PsycInfo, CINAHL with Full Text, E-Journals, Humanities Source Ultimate, Psychology and Behavioural Sciences Collection, and Sociology Source Ultimate. Initially, a total of 485 studies were retrieved; nine papers were retained for quality assessment after removing duplicates. Of the nine studies that met the inclusion criteria, only three are found to partially addressed substance use prevention programs. The two substance use prevention programs that emerge from the study are Adelante Social and Marketing Campaign (ASMC), and Screening and Brief Intervention (SBI). Six others explored protective factors and strategies for preventing substance use. The study findings show that refugee youth held negative attitudes toward institutions that provide substance use prevention programs. This review concluded that refugee youth often experience persistent substance use as they are not aware of prevention programs that may reduce the prevalence and/or severity of such misuse.

Machine learning models for prediction of double and triple burdens of non-communicable diseases in Bangladesh.

Increasing prevalence of non-communicable diseases (NCDs) has become the leading cause of death and disability in Bangladesh. Therefore, this study aimed to measure the prevalence of and risk factors for double and triple burden of NCDs (DBNCDs and TBNCDs), considering diabetes, hypertension, and overweight and obesity as well as establish a machine learning approach for predicting DBNCDs and TBNCDs. A total of 12,151 respondents from the 2017 to 2018 Bangladesh Demographic and Health Survey were included in this analysis, where 10%, 27.4%, and 24.3% of respondents had diabetes, hypertension, and overweight and obesity, respectively. Chi-square test and multilevel logistic regression (LR) analysis were applied to select factors associated with DBNCDs and TBNCDs. Furthermore, six classifiers including decision tree (DT), LR, naïve Bayes (NB), k-nearest neighbour (KNN), random forest (RF), and extreme gradient boosting (XGBoost) with three cross-validation protocols (K2, K5, and K10) were adopted to predict the status of DBNCDs and TBNCDs. The classification accuracy (ACC) and area under the curve (AUC) were computed for each protocol and repeated 10 times to make them more robust, and then the average ACC and AUC were computed. The prevalence of DBNCDs and TBNCDs was 14.3% and 2.3%, respectively. The findings of this study revealed that DBNCDs and TBNCDs were significantly influenced by age, sex, marital status, wealth index, education and geographic region. Compared to other classifiers, the RF-based classifier provides the highest ACC and AUC for both DBNCDs (ACC = 81.06% and AUC = 0.93) and TBNCDs (ACC = 88.61% and AUC = 0.97) for the K10 protocol. A combination of considered two-step factor selections and RF-based classifier can better predict the burden of NCDs. The findings of this study suggested that decision-makers might adopt suitable decisions to control and prevent the burden of NCDs using RF classifiers.

Impact of prenatal maternal dietary exclusion on childhood obesity and overweight risk.

BACKGROUND: Child birthweight is a measure of fetal nutrition that is primarily determined by prenatal maternal (PM) diet. Child birthweight and child obesity/overweight risk are well established to be linked. Nevertheless, no studies have investigated the impact of PM dietary exclusion on child obesity/overweight risk or body mass index z-score (BMIz). OBJECTIVES: The study aimed to determine whether PM dietary exclusion affected the child's BMIz, obesity/overweight risk, whether child birthweight serves as a mediator of this, and whether PM use of dietary supplements can protect against this. METHODS: Waves within the years 2004-2019 from the Longitudinal Study of Australian Children, a population-based cohort study, were analyzed. The participants were aged 0 to 15 years during these waves of the study. Analysis was conducted using logistic and linear models. A total of 5,107 participants were involved in the first wave of the study. RESULTS: The PM exclusion of fish was associated with a higher risk of being underweight at age 14 or 15 years and mild-to-moderate obesity at age 6 or 7 years. The PM exclusion of egg was associated with a higher risk of being overweight at age 14 or 15 years. The exclusion of dairy was associated with more mixed effects. Mediation effects did not reach statistical significance. Moderation effects involving PM dietary supplement use, when they did occur, were associated with higher child BMIz and usually a higher risk of obesity/overweight. CONCLUSIONS: Fish and eggs are likely important parts of PM diets for preventing childhood obesity and overweight. Further studies will be needed to determine reasons for this and the apparent adverse effects of dietary supplements on overweight/obesity risk.

Rural‒urban disparities in household catastrophic health expenditure in Bangladesh: a multivariate decomposition analysis.

BACKGROUND: Rural‒urban disparity in catastrophic healthcare expenditure (CHE) is a well-documented challenge in low- and middle-income countries, including Bangladesh, limiting financial protection and hindering the achievement of the Universal Health Coverage target of the United Nations Sustainable Development Goals. However, the factors driving this divide remain poorly understood. Therefore, this study aims to identify the key determinants of the rural‒urban disparity in CHE incidence in Bangladesh and their changes over time. METHODS: We used nationally representative data from the latest three rounds of the Bangladesh Household Income and Expenditure Survey (2005, 2010, and 2016). CHE incidence among households seeking healthcare was measured using the normative food, housing, and utilities method. To quantify covariate contributions to the rural‒urban CHE gap, we employed the Oaxaca-Blinder multivariate decomposition approach, adapted by Powers et al. for nonlinear response models. RESULTS: CHE incidence among rural households increased persistently during the study period (2005: 24.85%, 2010: 25.74%, 2016: 27.91%) along with a significant (p-value ≤ 0.01) rural‒urban gap (2005: 9.74%-points, 2010: 13.94%-points, 2016: 12.90%-points). Despite declining over time, substantial proportions of CHE disparities (2005: 87.93%, 2010: 60.44%, 2016: 61.33%) are significantly (p-value ≤ 0.01) attributable to endowment differences between rural and urban households. The leading (three) covariate categories consistently contributing significantly (p-value ≤ 0.01) to the CHE gaps were composition disparities in the lowest consumption quintile (2005: 49.82%, 2010: 36.16%, 2016: 33.61%), highest consumption quintile (2005: 32.35%, 2010: 15.32%, 2016: 18.39%), and exclusive reliance on informal healthcare sources (2005: -36.46%, 2010: -10.17%, 2016: -12.58%). Distinctively, the presence of chronic illnesses in households emerged as a significant factor in 2016 (9.14%, p-value ≤ 0.01), superseding the contributions of composition differences in household heads with no education (4.40%, p-value ≤ 0.01) and secondary or higher education (7.44%, p-value ≤ 0.01), which were the fourth and fifth significant contributors in 2005 and 2010. CONCLUSIONS: Rural‒urban differences in household economic status, educational attainment of household heads, and healthcare sources were the key contributors to the rural‒urban CHE disparity between 2005 and 2016 in Bangladesh, with chronic illness emerging as a significant factor in the latest period. Closing the rural‒urban CHE gap necessitates strategies that carefully address rural‒urban variations in the characteristics identified above.

Multimorbidity and health-related quality of life amongst Indigenous Australians: A longitudinal analysis.

BACKGROUND: The burden of multimorbidity has been observed worldwide and it has significant consequences on health outcomes. In Australia, health-related quality of life (HRQoL) is comparatively low amongst Aboriginal and/or Torres Strait Islanders, yet no studies have examined the effect of multimorbidity on HRQoL within this at-risk population. This study seeks to fill that gap by employing a longitudinal research design. METHODS: Longitudinal data were derived from three waves (9, 13, and 17) of the household, income and labour dynamics in Australia (HILDA) Survey. A total of 1007 person-year observations from 592 Aboriginal and/or Torres Strait Islander individuals aged 15 years and above were included. HRQoL was captured using the 36-item Short-Form Health Survey (SF-36), and multimorbidity was defined using self-reports of having been diagnosed with two or more chronic health conditions. Symmetric fixed-effects linear regression models were used to assess how intraindividual changes in multimorbidity were associated with intraindividual changes in HRQoL. RESULTS: Approximately 21% of Indigenous Australians were classified as experiencing multimorbidity. Respondents had statistically significantly lower HRQoL on the SF-36 sub-scales, summary measures, and health-utility index in those observations in which they experienced multimorbidity. Among others, multimorbidity was associated with lower scores on the SF-36 physical-component scale (ß = - 6.527; Standard Error [SE] = 1.579), mental-component scale (ß = - 3.765; SE = 1.590) and short-form six-dimension utility index (ß = - 0.075; SE = 0.017). CONCLUSION: This study demonstrates that having multiple chronic conditions is statistically significantly associated with lower HRQoL amongst Indigenous Australians. These findings suggest that comprehensive and culturally sensitive health strategies addressing the complex needs of individuals with multimorbidity should be implemented to improve the HRQoL of Indigenous Australians.

Gastroesophageal reflux disease following laparoscopic vertical sleeve gastrectomy and laparoscopic roux-en-Y gastric bypass: meta-analysis and systematic review of 5-year data.

To compare 5-year gastroesophageal reflux outcomes following Laparoscopic Vertical Sleeve Gastrectomy (LVSG) and Laparoscopic Roux-en-Y gastric bypass (LRYGB) based on high quality randomized controlled trials (RCTs). We conducted a sub-analysis of our systematic review and meta-analysis of RCTs of primary LVSG and LRYGB procedures in adults for 5-year post-operative complications (PROSPERO CRD42018112054). Electronic databases were searched from January 2015 to July 2021 for publications meeting inclusion criteria. The Hartung-Knapp-Sidik-Jonkman random effects model was utilized to estimate weighted mean differences where meta-analysis was possible. Bias and certainty of evidence was assessed using the Cochrane Risk of Bias Tool 2 and GRADE. Four RCTs were included (LVSG n = 266, LRYGB n = 259). An increase in adverse GERD outcomes were observed at 5 years postoperatively in LVSG compared to LRYGB in all outcomes considered: Overall worsened GERD, including the development de novo GERD, occurred more commonly following LVSG compared to LRYGB (OR 5.34, 95% CI 1.67 to 17.05; p = 0.02; I2 = 0%; (Moderate level of certainty); Reoperations to treat severe GERD (OR 7.22, 95% CI 0.82 to 63.63; p = 0.06; I2 = 0%; High level of certainty) and non-surgical management for worsened GERD (OR 3.42, 95% CI 1.16 to 10.05; p = 0.04; I2 = 0%; Low level of certainty) was more common in LVSG patients. LVSG is associated with the development and worsening of GERD symptoms compared to LRYGB at 5 years postoperatively leading to either introduction/increased pharmacological requirement or further surgical treatment. Appropriate patient/surgical selection is critical to minimize these postoperative risks.

Evaluating the roles of energy innovation, fossil fuel costs and environmental compliance towards energy transition in advanced industrial economies.

Given the dire state of climate change, investigating key elements that impact the energy transition process and help monitor progress in greenhouse gas emissions to achieve environmental sustainability is of critical importance. The current study explores the association between energy transition, compliance with environmental agreements, fossil fuels costs, environmental technologies, economic growth, and environmental degradation in G20 economies from 1995 to 2019. Our findings from extensive econometric analysis reveal that economic growth, environmental innovation, renewable energy, and environmental compliance facilitate while fossil fuels and environmental degradation hinder the energy transition process. Our findings conclude that developed countries must focus on alternate energy resources to overcome environmental challenges and subsidize renewable energy and environmental technologies to replace fossil fuels with green energy resources methodologically. Further, policy measures have been discussed in detail in the study.

Correction: The burden of chronic diseases among Australian cancer patients: Evidence from a longitudinal exploration, 2007-2017.

[This corrects the article DOI: 10.1371/journal.pone.0228744.].

Correction: The cost-effectiveness of controlling cervical cancer using a new 9-valent human papillomavirus vaccine among school-aged girls in Australia.

[This corrects the article DOI: 10.1371/journal.pone.0223658.].

Maternal Healthcare Services Utilisation and Its Associated Risk Factors: A Pooled Study of 37 Low- and Middle-Income Countries.

Objectives: The utilisation of maternal healthcare services (MHS) can play an essential role in reducing maternal deaths. Thus, this study examines the prevalence and factors associated with MHS utilisation in 37 low-and-middle-income countries (LMICs). Methods: A total of 264,123 women were obtained from the Demographic and Health Surveys of 37 LMICs. Multivariate logistic regression was performed to identify the factors associated with maternal healthcare services utilisation. Results: Around one-third (33.7%) of the respondents properly utilise MHS among women of childbearing age. In the pooled sample, the odds of MHS utilisation were significantly higher with the increase in wealth index, women's age, age at the first birth, and husband/partner's education. Urban residence (AOR [adjusted odds ratio] = 1.56; 95% CI [confidence interval]: 1.49-1.64), women's autonomy in healthcare decision-making (AOR = 1.19; 95% CI: 1.15-1.24) and media exposure (AOR = 1.70; 95% CI: 1.58-1.83) were found to be the strongest positive factors associated with utilisation of MHS. In contrast, larger family (AOR = 0.93; 95% CI: 0.91-0.96), and families with 7 or more children (AOR = 0.72; 95% CI: 0.68-0.77) were significantly negatively associated with MHS utilisation. Conclusion: The utilisation of MHS highly varied in LMICs and the associated factors. Expanding the wealth status, education, age at first birth, mothers' autonomy in healthcare decisions, and media exposure could be essential strategies for increasing the utilisation of MHS; however, country-specific programs should be considered in national policy discussions. There is a need to formulate policies and design maternal health services programs that target socially marginalised women.

Exploration of key drug target proteins highlighting their related regulatory molecules, functional pathways and drug candidates associated with delirium: evidence from meta-data analyses.

BACKGROUND: Delirium is a prevalent neuropsychiatric medical phenomenon that causes serious emergency outcomes, including mortality and morbidity. It also increases the suffering and the economic burden for families and carers. Unfortunately, the pathophysiology of delirium is still unknown, which is a major obstacle to therapeutic development. The modern network-based system biology and multi-omics analysis approach has been widely used to recover the key drug target biomolecules and signaling pathways associated with disease pathophysiology. This study aimed to identify the major drug target hub-proteins associated with delirium, their regulatory molecules with functional pathways, and repurposable drug candidates for delirium treatment. METHODS: We used a comprehensive proteomic seed dataset derived from a systematic literature review and the Comparative Toxicogenomics Database (CTD). An integrated multi-omics network-based bioinformatics approach was utilized in this study. The STRING database was used to construct the protein-protein interaction (PPI) network. The gene set enrichment and signaling pathways analysis, the regulatory transcription factors and microRNAs were conducted using delirium-associated genes. Finally, hub-proteins associated repurposable drugs were retrieved from CMap database. RESULTS: We have distinguished 11 drug targeted hub-proteins (MAPK1, MAPK3, TP53, JUN, STAT3, SRC, RELA, AKT1, MAPK14, HSP90AA1 and DLG4), 5 transcription factors (FOXC1, GATA2, YY1, TFAP2A and SREBF1) and 6 microRNA (miR-375, miR-17-5, miR-17-5p, miR-106a-5p, miR-125b-5p, and miR-125a-5p) associated with delirium. The functional enrichment and pathway analysis revealed the cytokines, inflammation, postoperative pain, oxidative stress-associated pathways, developmental biology, shigellosis and cellular senescence which are closely connected with delirium development and the hallmarks of aging. The hub-proteins associated computationally identified repurposable drugs were retrieved from database. The predicted drug molecules including aspirin, irbesartan, ephedrine-(racemic), nedocromil, and guanidine were characterized as anti-inflammatory, stimulating the central nervous system, neuroprotective medication based on the existing literatures. The drug molecules may play an important role for therapeutic development against delirium if they are investigated more extensively through clinical trials and various wet lab experiments. CONCLUSION: This study could possibly help future research on investigating the delirium-associated therapeutic target biomarker hub-proteins and repurposed drug compounds. These results will also aid understanding of the molecular mechanisms that underlie the pathophysiology of delirium onset and molecular function.

Circular economy, environmental quality and tourism receipts in Europe: A time series data analysis.

The study examines how progress towards a circular economy (CE), patents related to recycling and secondary raw materials as a proxy for innovation, affect tourism receipts. The study uses Autoregressive Distributed Lag (ARDL) and Error Correction Method (ECM) to analyse time series data from EU countries from 2000 to 2020. Our estimates show that there exist long-run and short-run equilibrium relationships. In sum, evidence shows that promoting circular innovative practices, including recycling and using secondary raw materials in tourist destinations, could improve environmental quality and positively impact tourism receipts. The study concludes with policy and practical suggestions for circular economy innovation towards green tourism, destination management, and sustainable tourism.

Correction: Cost-effectiveness evaluations of the 9-Valent human papillomavirus (HPV) vaccine: Evidence from a systematic review.

[This corrects the article DOI: 10.1371/journal.pone.0233499.].

Correction: Changes in inequality of childhood morbidity in Bangladesh 1993-2014: A decomposition analysis.

[This corrects the article DOI: 10.1371/journal.pone.0218515.].

Changes in the prevalence of dementia in Australia and its association with geographic remoteness.

BACKGROUND: The exact prevalence of dementia in Australia is ambiguous. Australia is a vast continent with a small population, and 80% of the population live in five cities. This study explores recent changes in the prevalence of dementia. It also investigates geographic remoteness as a potential risk factor for developing dementia. METHODS: Survey of Disability, Ageing and Carers (SDAC), a nationally representative database, was used to conduct this study. A total of 74,862 and 65,487 individuals from 2015 and 2018, respectively, were considered for this study. A multivariable logistic regression model was used to evaluate the association between dementia and geographic remoteness for older adults aged 65 years and over. RESULTS: The results reveal that from 2015 to 2018, the prevalence of dementia among adults aged 65 years and older was higher in 2018 (5,229 per 100,000) than in 2015 (5,099 per 100,000). Significant geographical differences in the prevalence of dementia are observed among Australian adults, and this trend appears to be increasing. Furthermore, the unadjusted model revealed that, in 2015, older adults living in major cities had 1.29 (AOR: 1.29, 95% CI: 1.17-1.41) times higher odds of having dementia compared with their counterparts from outer regional and remote areas. In 2018, the adjusted model found that older adults living in major cities had 1.12 (AOR: 1.12, 95% CI: 1.01-1.25) times elevated odds of having dementia than their peers living in outer regional and remote areas. CONCLUSION: There is a rising prevalence of dementia in Australia. Further investigation is required to identify the causes of this increase. Increased public health initiatives should concentrate on behavioural characteristics and contextual environmental factors to ameliorate this trend.