Socioeconomic Disparities and the Prevalence of Antimicrobial Resistance.

BACKGROUND: The increased prevalence of antimicrobial resistant (AMR) infections is a significant global health threat, resulting in increased morbidity, mortality, and costs. The drivers of AMR are complex and potentially impacted by socioeconomic factors. We investigated the relationships between geographic and socioeconomic factors and AMR. METHODS: We collected select patient bacterial culture results from 2015 to 2020 from electronic health records (EHR) of two expansive healthcare systems within the Dallas-Fort Worth, TX (DFW) metropolitan area. Among individuals with EHR records who resided in the four most populus counties in DFW, culture data were aggregated. Case counts for each organism studied were standardized per 1,000 persons per area population. Using residential addresses, the cultures were geocoded and linked to socioeconomic index values. Spatial autocorrelation tests identified geographic clusters of high and low AMR organism prevalence and correlations with established socioeconomic indices. RESULTS: We found significant clusters of AMR organisms in areas with high levels of deprivation, as measured by the Area Deprivation Index (ADI). We found a significant spatial autocorrelation between ADI and the prevalence of AMR organisms, particularly for AmpC and MRSA with 14% and 13%, respectively, of the variability in prevalence rates being attributable to their relationship with the ADI values of the neighboring locations. CONCLUSIONS: We found that areas with a high ADI are more likely to have higher rates of AMR organisms. Interventions that improve socioeconomic factors such as poverty, unemployment, decreased access to healthcare, crowding, and sanitation in these areas of high prevalence may reduce the spread of AMR.

Deciphering prognostic indicators in AQP4-IgG-seropositive neuromyelitis optica spectrum disorder: An integrative review of demographic and laboratory factors.

BACKGROUND: Neuromyelitis optica spectrum disorder (NMOSD) is a group of inflammatory diseases affecting the central nervous system, characterized by optic neuritis and myelitis. The complex nature of NMOSD and varied patient response necessitates personalized treatment and efficient patient stratification strategies. OBJECTIVE: To provide a comprehensive review of recent advances in clinical and biomarker research related to aquaporin-4 (AQP4)-immunoglobulin G (IgG)-seropositive NMOSD prognosis and identify key areas for future research. METHODS: A comprehensive review and synthesis of recent literature were conducted, focusing on demographic factors and laboratory investigations. RESULTS: Demographic factors, such as age, ethnicity, and sex, influence NMOSD prognosis. Key biomarkers for NMOSD prognosis include homocysteine, antinuclear antibodies, neutrophil-to-lymphocyte ratio, platelet-to-lymphocyte ratio, thyroid hormone levels, neurofilament light chain levels, and serum glial fibrillary acidic protein might also predict NMOSD attack prognosis. CONCLUSION: Further investigation is required to understand sex-related disparities and biomarker inconsistencies. Identification and understanding of these factors can aid in the development of personalized therapeutic strategies, thereby improving outcomes for NMOSD patients. Future studies should focus on unifying research design for consistent results.

Reference values for nerve conduction studies of the peroneal, tibial, and sural nerve derived from a large population-based cohort: Associations with demographic and anthropometric characteristics-The Maastricht study.

INTRODUCTION/AIMS: Nerve conduction studies (NCSs) are widely used to support the clinical diagnosis of neuromuscular disorders. The aims of this study were to obtain reference values for peroneal, tibial, and sural NCSs and to examine the associations with demographic and anthropometric factors. METHODS: In 5099 participants (aged 40-79 years) without type 2 diabetes of The Maastricht Study, NCSs of peroneal, tibial, and sural nerves were performed. Values for compound muscle action potential (CMAP) and sensory nerve action potential amplitude, nerve conduction velocity (NCV), and distal latency were acquired. The association of age, sex, body mass index (BMI), and height with NCS values was determined using uni- and multivariate linear regression analyses. RESULTS: Detailed reference values are reported per decade for men and women. Significantly lower NCVs and longer distal latencies were observed in all nerves in older and taller individuals as well as in men. In these groups, amplitudes of the tibial and sural nerves were significantly lower, whereas a lower peroneal nerve CMAP was only significantly associated with age. BMI showed a multidirectional association. After correction for anthropometric factors in the multivariate analysis, the association between sex and NCS values was less straightforward. DISCUSSION: These values from a population-based dataset could be used as a reference for generating normative values. Our findings show the association of NCS values with anthropometric factors. In clinical practice, these factors can be considered when interpreting NCS values.

Diet quality and its associated factors among adults with overweight and obesity: findings from the 2015-2018 National Health and Nutrition Examination Survey.

The rate of adult severe obesity has been continually rising in the USA. While improving diet quality has been shown to reduce the risk of obesity, few studies have explored the differences in diet quality among adults with overweight and obesity by different weight statuses along with socio-demographic factors and physical activity using data from a nationally representative survey in the USA. The main goal of the study is to assess the diet quality of adults with overweight and obesity by examining differences in the Healthy Eating Index-2015 (HEI-2015) scores, using data from the 2015-2018 National Health and Nutrition Survey. Among 6746 adults with overweight and obesity (aged ≥ 20 years), severe obesity was prevalent (27 %), particularly among females, non-Hispanic Blacks and those with lower education and income. Compared to adults with overweight, adults with severe obesity had lower HEI-2015 total scores as well as component scores for total fruits, whole fruits, greens and beans, refined grains, sodium and saturated fats. Among adults with overweight and obesity, non-Hispanic Blacks had lower diet quality than non-Hispanic Asians; females had better diet quality than males; older adults had better diet quality than younger adults; adults with a college degree and above had better diet quality than those with less than a high school degree. Socio-demographic differences in diet quality and weight status should be considered in future obesity interventions to reduce adult severe obesity in the USA.

Disparities and social determinants of periodontal diseases.

Periodontal diseases are highly prevalent in populations worldwide and are a major global public health problem, with major negative impacts on individuals and communities. This study investigates evidence of disparities in periodontal diseases by age groups, gender, and socioeconomic factors. There is ample evidence that these diseases disproportionally affect poorer and marginalized groups and are closely associated with certain demographics and socioeconomic status. Disparities in periodontal health are associated with social inequalities, which in turn are caused by old age, gender inequality, income and education gaps, access to health care, social class, and other factors. In health care, these factors may result in some individuals receiving better and more professional care compared to others. This study also reviews the potential causes of these disparities and the means to bridge the gap in disease prevalence. Identifying and implementing effective strategies to eliminate inequities among minorities and marginalized groups in oral health status and dental care should be prioritized in populations globally.

Time living with food insecurity and socio-demographic factors: longitudinal analysis in a city in the semi-arid region of Northeast Brazil.

OBJECTIVE: Food insecurity (FI) is the lack of daily access for everyone to quality food in sufficient quantity. In many populations, it presents as a chronic and persistent condition. This study analysed the association between the length of time living with FI and socio-demographic conditions in households in a semi-arid municipality in the Brazilian Northeast between 2011 and 2019. DESIGN: This is a population-based cohort study among families in the municipality in Northeast Brazil (2011, 2014 and 2019). FI was estimated through the Escala Brasileira de Insegurança Alimentar (EBIA, Brazilian Household Food Insecurity Measurement Scale), and the longitudinal category of time of living with FI was adopted to classify them according to the time they remained in FI during the cohort. The association with the socio-demographic profiles of the population was verified through multinomial logistic regression. SETTING: Households in semi-arid, Northeast of Brazil. PARTICIPANTS: Household respondents interviewed in 2011, 2014 and 2019 (n 274). RESULTS: Sixty-seven percentage (67 %) of families lived in FI in this period. Rural residence, low monthly per capita income and low schooling of the household reference person increased the chances of these families living longer in FI. These overlapping conditions increased the odds of FI in the household. CONCLUSIONS: Coping with FI requires intersectoral intervention that improves the socio-demographic conditions of the population.

Sociodemographic determinants of vaccination and willingness to pay for COVID-19 vaccines in Hungary, results of a cross-sectional online questionnaire.

BACKGROUND: Several different coronavirus disease (COVID-19) vaccines were authorized and distributed all over the world, including Hungary, but vaccination rates and acceptance of the different vaccines varied through 2021 and subsequent years. In Hungary Western vaccines and the Chinese and Russian vaccines were available in early 2021. Understanding preference and willingness to pay (WTP) for the COVID-19 vaccine could provide information for policy decision making to control the COVID-19 pandemic. We aimed to assess the socio-demographic factors influencing the COVID-19 vaccination and to analyse individual preferences for the available COVID-19 vaccines in Hungary. METHODS: A cross-sectional online questionnaire survey was conducted between 25-05-2021 and 08-06-2021 exploring the vaccine acceptance and WTP for vaccination in the Hungarian general population. To assess the preferences towards the different vaccines available in Hungary at the time of the study, we used a multi-step WTP task. RESULTS: Altogether 2,000 respondents filled out our survey, with the average age of 49.1 (SD = 15.3), out of whom 370 respondents (18.5%) stated that they already had a COVID-19 infection. Age above 65 years, male gender, higher level of education, higher income and residence in the capital or county seats were associated with a higher probability of vaccination. The average WTP ranged from 14.2 to 30.3 EUR for the different vaccine types. CONCLUSIONS: Males, respondents with higher education and income stated a higher WTP value for all vaccines. Better socioeconomic status increased both vaccination coverage and willingness to pay for vaccines.

The sex difference in self-rated health among older Turkish and Moroccan migrants in the Netherlands: an exploratory study of contributing determinants.

BACKGROUND: Although being a woman and having a migration background are strong predictors of poor self-rated health among (older) adults, research on the sex difference in self-rated health among (older) migrants remains limited. This study therefore aims to investigate this topic and explore the contributing role of determinants of self-rated health. METHODS: Cross-sectional data from 360 Turkish-Dutch and Moroccan-Dutch adults aged 55-65 as part of the Longitudinal Aging Study Amsterdam (LASA) were used. Self-rated health (good versus poor) was measured by a single item question. Univariate age-adjusted logistic regression analysis was used to investigate the sex difference in self-rated health and the contribution of sex differences in sensitivity (strength of the association) and/or exposure (prevalence) to socio-demographic, social, lifestyle or health-related determinants of self-rated health. RESULTS: Women had a 0.53 times lower odds (95%CI:0.40-0.82, p = 0.004) on good self-rated health compared to men. Women more often having a lower education level, living alone and having a higher prevalence of depressive symptoms, chronic diseases and especially functional limitations contributed to the lower self-rated health among women. In contrast, men were more sensitive to the impact of memory complaints, depressive symptoms, visual difficulties and functional limitations. CONCLUSIONS: Older Turkish-Dutch and Moroccan-Dutch women have a significant lower self-rated health compared to men. Women having a higher exposure to both socio-demographic and health-related determinants of self-rated health, which contributed to the sex difference. Future research should take these differences in self-rated health and determinants between women and men into account when investigating health among older migrants.

Factors influencing living space utilization among older Afro-Colombian adults.

OBJECTIVES: Investigate the factors influencing life space utilization in older Afro-descendant adults residing in Tumaco, Colombia - a marginalized region of the country. DESIGN: This cross-sectional study included 388 Afro-descendant older adults. The study assessed living space using the Life Space Assessment (LSA) scale and collected demographic data. Cognitive levels were measured with the Mini-Mental State Examination (MMSE), and depressive symptoms were assessed using the Yesavage scale. Socio-emotional indicators were determined with the Medical Outcomes Study (MOS). The research employed linear and logistic regression models for data analysis. RESULTS: On average, participants scored 27.0 on the LSA scale. A lack of perceived income resulted in a 10.44-point decrease on the LSA scale. For each unit increase in the MOS-Instrumental Dimension score, the LSA score increased by 0.52 points (95% CI 0.17-0.87). As for cognitive performance (MMSE scale), each one-point increase resulted in a 0.69 decrease in the LSA score (95% CI -1.25 to -0.12). CONCLUSION: Socioeconomic disadvantages limit living space utilization, particularly in the Afro-descendant population. Yet, social support can enhance living space use despite environmental and economic constraints.

Tri-State Evaluation of the Effects of the COVID-19 Pandemic on Routine Vaccine Uptake in Iowa, Minnesota, and North Dakota, 2017-2021.

The objective of this analysis was to evaluate and compare the effects of the COVID-19 pandemic on routine and annual influenza vaccination in Iowa, Minnesota, and North Dakota. Routine and annual influenza vaccination uptake and coverage between 2017 and 2021 was collected from each state's immunization information system (IIS) by age group and stratified by provider and vaccine type. Data from 2017 to 2019 were averaged to obtain a pre-pandemic baseline and compared to 2020 and 2021 data. Percent changes were calculated to evaluate differences in uptake and coverage. Changes in coverage and administration varied by state, but each state had some level of decreased administration across the different age groups and vaccine types. The most consistent decreases in vaccine administration occurred in the 15-year-old cohort with each state finding decreased administrations in 2020 and 2021. The 12-year-old age group had decreased administration of hepatitis B, measles, mumps, and rubella, and varicella vaccine while the 2-year-old age group had the most consistent decrease in coverage across all vaccines analyzed. Trends by provider type were also noted in all three states, with local public health (LPH) experiencing the largest and most consistent declines in vaccine administrations by age group. Adult influenza coverage improved to varying degrees in 2020 (+ 14.1% IA, + 2.1% MN, + 1.5% ND), but either decreased or approached the 2017-19 average in 2021. All three states saw some level of decreased vaccine administration across the age groups, vaccines, and provider types assessed. The COVID-19 pandemic affected how many children and adults received recommended immunizations, leaving communities vulnerable to vaccine-preventable diseases.

Goal setting in people with low back pain attending an education and exercise program (GLA:D Back) and the impact of demographic factors.

BACKGROUND: Individual goal setting is a fundamental element in self-management supportive interventions, serving to guide actions and enhance motivation for engagement. Despite this, little is known about the goals people with back pain have and to what extent these differ across genders, age groups and geographical location. This study aimed to elucidate this by first describing individual goals set by Danish and Canadian participants in a self-management intervention for people with back pain using the ICF framework; then, determining what proportion of these goals met criteria for being specific, measurable, acceptable, and time bound, and finally, by investigating differences between countries, sexes, and age groups. METHODS: In a cross-sectional study conducted August 2018 to June 2020, 394 Danish and 133 Canadian (Alberta Province) participants defined their individual goals of participating in a self-management programme involving patient education and supervised exercises. The goals were linked to the ICF framework. Distribution of goals was compared between countries, sexes, and age groups. RESULTS: Goals most often related to the ICF component of 'Activity and Participation'. The most prevalent goals were "Walking" (DK: 20%; CA: 15%) and "Maintaining a body position" (DK: 17%; CA: 22%). Only few goals differed between populations, age and sex. All elements of SMART goal setting were recorded for 88% of Danish and 94% of Alberta participants. CONCLUSIONS: People with low back pain attending a self-management programme established goals according to the SMART criteria and focused primarily on activity. Goals were similar across countries and showed few differences across sex and age groups. The high number of different goals points to the need for individualised person-centred care.

Caries experience, obesity and demographic factors in school children: A cluster analysis.

OBJECTIVE: To determine the association between caries experience, obesity, and socioeconomic and environmental factors in 2, 5 and 12 years-old schoolchildren. Secondarily, the influence of school infrastructure was assessed. METHODS: Primary data from 1762 schoolchildren from the municipality of Cajamar (SP, Brazil) and socioeconomic and environmental secondary data (Brazilian Census 2010, School Census, Prova Brasil/2017) were used. Caries and treatment experience (dmft/DMFT indices), dental occlusion, visible biofilm, weight and height were assessed. RESULTS: Caries experience was found in 6.5%, 40.2% and 46.5% of children at 2, 5 and 12 years, respectively. At 12y, greater caries experience was observed among children financially assisted by the Bolsa Família governmental program. Excess weight was found in 30%, 35% and 34% at 2, 5 and 12 years. At 2 and 5 years, the highest dental caries indices were associated with disadvantageous socioeconomic indicators (households water supply and sewage system, garbage collection, literate head and income), while overweight was associated with female sex and better socioeconomic aspects. At 12y, the group with obesity was characterized by low dmf+DMFT index and better household aspects, while the group with greater dmf+DMFT index comprised normal-weight children. A correlation between the percentage of caries experience and student/employee ratio of the school was observed. CONCLUSION: An association between disadvantageous socioeconomic and environmental aspects and dental caries was observed, while obesity was associated with better socioeconomic status of the schoolchildren. While no direct association was found between obesity and dental caries, the results emphasize the influence of socioeconomic/environmental variables on health outcomes.

Loneliness and its associations with demographic, lifestyle, social and parental factors among adolescents in Timor-Leste.

Adolescent loneliness is prevalent and has serious adverse impacts on mental and physical health outcomes. This study aimed at examining factors associated with loneliness among school-going adolescents. The country of interest is a low-income country, Timor-Leste, where empirical studies are lacking. Data from the Global School-Based Student Health Survey Timor-Leste 2015 (n = 3455) were used for secondary analyses. An ordered probit model was utilized to assess demographic, lifestyle, social, and parental factors correlated with different levels of loneliness (no loneliness, moderate loneliness, and severe loneliness). Approximately 46.3% of adolescents felt moderately lonely and about 13.5% felt severely lonely. Older adolescents were more likely to experience severe and moderate loneliness than younger adolescents. Going hungry and being bullied were associated with an increased likelihood of being severely and moderately lonely. Adolescents had a higher probability of experiencing moderate and severe loneliness if they had sleep difficulties and were physically active. Having understanding parents was positively associated with the likelihood of severe loneliness. In conclusion, a large proportion of adolescents in Timor-Leste have feelings of loneliness, which have been found to be associated with demographic, lifestyle, social, and parental factors. Policymakers should recognize the correlated factors of loneliness in order to formulate a more effective intervention strategy.

Solid waste generation prediction model framework using socioeconomic and demographic factors with real-time MSW collection data.

This article proposes a framework for developing predictive models of end-of-life product flows, highlighting the importance of conducting thorough analyses before developing waste management and end-of-life product flow strategies. The framework emphasizes the importance of recognizing the nature and quality of the available data and finding a balance between model development time and detail requirements. It is designed to adapt to source material heterogeneity and address varying data availability scenarios, such as the presence or absence of radio frequency identification chips. A case study for the city of Gatineau is presented, showcasing the framework's application through agent-based simulation models in a geographic information systems environment. The study focuses on creating models of municipal solid waste generation based on socioeconomic and demographic factors and collection data to accurately predict the quantity and quality of waste streams, enabling municipalities to assess the environmental impact of their waste management strategies.

COVID-19 Epidemiology during Delta Variant Dominance Period in 45 High-Income Countries, 2020-2021.

The SARS-CoV-2 Delta variant, first identified in October 2020, quickly became the dominant variant worldwide. We used publicly available data to explore the relationship between illness and death (peak case rates, death rates, case-fatality rates) and selected predictors (percentage vaccinated, percentage of the population >65 years, population density, testing volume, index of mitigation policies) in 45 high-income countries during the Delta wave using rank-order correlation and ordinal regression. During the Delta-dominant period, most countries reported higher peak case rates (57%) and lower peak case-fatality rates (98%). Higher vaccination coverage was protective against peak case rates (odds ratio 0.95, 95% CI 0.91-0.99) and against peak death rates (odds ratio 0.96, 95% CI 0.91-0.99). Vaccination coverage was vital to preventing infection and death from COVID-19 during the Delta wave. As new variants emerge, public health authorities should encourage the uptake of COVID-19 vaccination and boosters.

Changing patterns of nasopharyngeal carcinoma incidence in Hong Kong: a 30-year analysis and future projections.

BACKGROUND: This study aims to evaluate the relationship between age, period, and birth cohort with the incidence trends of Nasopharyngeal Carcinoma (NPC) in Hong Kong, make projections through 2030 and parse the drivers of the incidence. METHODS: Using data from the Hong Kong Cancer Registry, we used an age-period-cohort model to uniquely estimate age, period, and cohort effects on NPC incidence trends and make projections. We further assessed the drivers of NPC incidence using a validated decomposition algorithm. RESULTS: From 1991 to 2020, crude and age-standardized incidence rates of NPC decreased significantly. The net drifts showed significant downward trends for both sexes, and local drift declined in all age groups. Period and cohort rate ratios revealed monotonic declining patterns for both sexes. Projections suggested that NPC incidence will continue to decline. Population decomposition showed that while population growth and ageing have led to an increase in NPC cases, epidemiologic changes offset these increases, resulting in an encouraging downward trend in the incidence and new NPC cases in Hong Kong. CONCLUSIONS: The period and cohort risk of NPC in Hong Kong decreased, and epidemiologic changes offset the contribution of demographic factors, resulting in a continued decline in NPC incidence and cases.

Association between legume consumption and the intake of other foods and nutrients in the Finnish adult population.

The role of legumes in healthy and sustainable diets is increasingly of interest. Few studies have investigated the association between legume consumption and the consumption of other food groups and the intake of nutrients. This study examined how legume consumption is associated with the consumption of other foods and the intake of nutrients among Finnish adults. Our study used cross-sectional data from the population-based FinHealth 2017 Study consisting of 2250 men and 2875 women aged ≥18 years. The associations between legume consumption (quartile classification), food groups and nutrients were analysed using multivariable linear regression. The models were initially adjusted for energy intake and additionally for age, educational level, smoking status, leisure-time physical activity and BMI. Legume consumption had a positive association with age, education level and leisure-time physical activity. The consumption of legumes was positively associated with the consumption of fruits and berries, vegetables, nuts and seeds and fish and fish products and inversely associated with the consumption of red and processed meat, cereals and butter and butter-based fat spreads. Furthermore, legume consumption was positively associated with the intake of protein, fibre, folate, thiamine and salt in both sexes and inversely associated with the intake of saturated fatty acids and sucrose (sucrose, women only). Thus, legume consumption appears to reflect overall healthier food choices. An increase in legume consumption could accelerate the transition to more sustainable diets. The confounding role of other foods and nutrients should be considered when studying associations between legume consumption and health outcomes.

Fuzzy association analysis for identifying climatic and socio-demographic factors impacting the spread of COVID-19.

Recently, the whole world witnessed the fatal outbreak of COVID-19 epidemic originating at Wuhan, Hubei province, China, during a mass gathering in a film festival. World Health Organization (WHO) has declared this COVID-19 as a pandemic due to its rapid spread across different countries within a few days. Several research works are being performed to understand the various influential factors responsible for spreading COVID. However, limited studies have been performed on how climatic and socio-demographic conditions may impact the spread of the virus. In this work, we aim to find the relationship of socio-demographic conditions, such as temperature, humidity, and population density of the regions, with the spread of COVID-19. The COVID data for different countries along with the social data are collected. For the experimental purpose, Fuzzy association rule mining is employed to infer the various relationships from the data. Moreover, to examine the seasonal effect, a streaming setting is also considered. The experimental results demonstrate various interesting insights to understand the impact of different factors on spreading COVID-19.

Exposure of children to glyphosate in Morocco: Urinary levels and predictors of exposure.

Glyphosate is one of the most frequently used organophosphorus plant protection products worldwide, and has recently been classified as probably carcinogenic to humans by the International Agency for Research and Cancer (IARC). We aimed to evaluate the urinary levels of glyphosate and its metabolite aminomethylphosphonic acid (AMPA) in Moroccan children, to identify the main predictors and to perform a risk assessment. Data was collected during a cross sectional study of 48 children from an intensive agricultural area. Measurements included a questionnaire on life-style, socio-demographic and herbicide exposures. Urinary glyphosate and AMPA were extracted using solid phase extraction (SPE) and analyzed by liquid chromatography-tandem mass spectrometry (LC-MS/MS). Overall, glyphosate and AMPA were detected in 73% and 75% of urine samples, respectively. The mean concentrations were 0.97 µg L-1 (2.06 µg/gcreatinine) for glyphosate and 0.79 µg L-1 (1.52 µg/gcreatinine) for AMPA. Children younger than 5 years had a higher AMPA and glyphosate urine concentration (mean = 2.24 µg L-1; estimation coefficient (EC) = 1.39; 95% CI: 0.54-2.24) (mean = 4.05 µg L-1; EC = 2.92; 95% CI: 1.68-4.15), respectively, than children aged 6-12. Children living near the pesticide spraying fields (<50 m) had 14.91 µg L-1 and 2.35 µg L-1 more glyphosate and AMPA, respectively, than children living in urban counties (95% CI: 8.14-20.91 for glyphosate and 95% CI: 0.55-4.14 for AMPA). AMPA concentration varied significantly with the source of drinking water, AMPA was higher among children that used water from open water sources (mean = 1.49 µg L-1; EC = 2.98; 95% CI/0.67-5.78) compared to those using water from closed water sources. There were also non-significant associations found, such as total household net income, current parental job description, and dietary intake. With the regard to the health risk assessment, estimated daily intake (EDIs), hazard quotient (HQs), and a hazard index (HI) were calculated. The GMs of EDI were 4.38 and 2.26 µg/kg of body weight BW/day for glyphosate and AMPA, respectively. The HQs were calculated considering 0.5 mg/kg BW/day as an acceptable daily intake (ADI), which EFSA has established as a health-based reference value for both analytes. The value obtained were lower than 1, and therefore, low health risk due to glyphosate and AMPA was expected for the target population under the study. This study provides further evidence on factors associated with glyphosate exposure, especially in developing countries.

Trends and projections of ovarian cancer incidence in Hong Kong: A population-based study.

INTRODUCTION: This study analyzed the incidence of ovarian cancer in Hong Kong and its association with age, calendar period and birth cohort, made projections through 2030, and attributed differences in new cancer cases to demographic and epidemiologic changes. MATERIAL AND METHODS: Incidence data for ovarian cancer were obtained from the Hong Kong Cancer Registry. We employed the age-period-cohort modeling approach to investigate the association between ovarian cancer incidence and age in Hong Kong women, with particular emphasis on examining the changing trends of period and cohort effects on incidence. We projected the incidence of ovarian cancer in Hong Kong between 2018 and 2030 and attributed the rise in new cancer cases to epidemiologic and demographic shifts. RESULTS: Between 1990 and 2017, a total of 11 182 women were diagnosed with ovarian cancer in Hong Kong. Crude and age-standardized rates increased from 8.2 and 7.8 per 100 000 person-years to 16.3 and 11.5 per 100 000 person-years, respectively. New cases of ovarian cancer rose from 225 in 1990 to 645 in 2017. We observed an increased risk of ovarian cancer throughout the study period and in the post-1940 birth cohort. The projected incidence rate and new cases of ovarian cancer are expected to continue growing due to demographic and epidemiologic changes such as fertility patterns and lifestyle factors, with an estimated 981 cases in 2030. CONCLUSIONS: The period risk and cohort risk of ovarian cancer among Hong Kong women is increasing. Demographic and epidemiologic changes may continue to increase ovarian cancer incidence and new cases in Hong Kong.