Epidemiology of intestinal and difuse types of gastric carcinoma: A time-trend study in Finland with comparison between studies from high- and low-risk areas

BACKGROUND We assessed dietary intakes in the high- and low-risk areas for esophageal cancer (EC) in Golestan province, Northern Iran. METHODS Considering the EC rates, Golestan province was divided into high- and low-risk regions. Data on households’ food consumption were obtained from the Statistical Center of Iran. We used multivariable logistic regression to assess the relationships between consumption of main food and EC risk. Adjusted odds ratios (aOR) were calculated. Joint point program was used for time trend analysis and average annual percent changes (AAPC) were reported. RESULTS Overall, 11910 households were recruited during 2006-2015. 4710 (39.5%) households were enrolled from the high-risk region. There were significant positive relationships between high consumption of sweets (aOR = 1.62; 95% CI: 1.24-2.10), oil/fat (aOR = 1.36; 95% CI: 1.04-1.79), and red meat (aOR = 1.33; 95% CI: 1.07-1.65) with EC risk. We found significant negative relationships between high consumption of dairy products (aOR = 0.62; 95% CI: 0.46-0.82), vegetables (aOR = 0.66; 95% CI: 0.50-0.87) and fruit (aOR = 0.72; 95% CI: 0.55-0.95) with the risk of EC. Time trend analysis showed a significant increasing trend in the proportions of households with low consumption of vegetables (AAPC = 4.71, p = 0.01) and dairy products (AAPC = 5.26, p = 0.02) in the low-risk region for EC. CONCLUSION Dietary intakes may be important etiological factors for EC in Northern Iran. Further studies are warranted to assess the role of dietary factors in this high-risk population.

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Frequency of CDH1 germline mutations in gastric carcinoma coming from high- and low-risk areas: metanalysis and systematic review of the literature

BMC Cancer ◽

10.1186/1471-2407-12-8 ◽

2012 ◽

Vol 12 (1) ◽

Cited By ~ 56

Author(s):

Giovanni Corso ◽

Daniele Marrelli ◽

Valeria Pascale ◽

Carla Vindigni ◽

Franco Roviello

Keyword(s):

Systematic Review ◽

Gastric Carcinoma ◽

Germline Mutations ◽

Low Risk ◽

Review Of The Literature ◽

Risk Areas

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Determinants of changes in income-related health inequalities among working-age adults in Japan, 1986–2007: Time-trend study

Social Science & Medicine ◽

10.1016/j.socscimed.2012.11.042 ◽

2013 ◽

Vol 81 ◽

pp. 94-101 ◽

Cited By ~ 14

Author(s):

Yuko Kachi ◽

Mariko Inoue ◽

Mariko Nishikitani ◽

Shinobu Tsurugano ◽

Eiji Yano

Keyword(s):

Health Inequalities ◽

Time Trend ◽

Trend Study ◽

Working Age

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Changes in Psychiatric Problems and Service Use Among 8-Year-Old Children: A 16-Year Population-Based Time-Trend Study

Journal of the American Academy of Child & Adolescent Psychiatry ◽

10.1097/chi.0b013e318160b98f ◽

2008 ◽

Vol 47 (3) ◽

pp. 317-327 ◽

Cited By ~ 50

Author(s):

ANDRE SOURANDER ◽

SOLJA NIEMELÄ ◽

PÄIVI SANTALAHTI ◽

HANS HELENIUS ◽

JORMA PIHA

Keyword(s):

Time Trend ◽

Service Use ◽

Population Based ◽

Trend Study ◽

Psychiatric Problems

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Spatial-time Visualization of Cutaneous Leishmaniasis in an Urban Area: Informing Health Policy and Practice

10.21203/rs.3.rs-125091/v1 ◽

2020 ◽

Author(s):

Neda Firouraghi ◽

Sayyed Mostafa Mostafavi ◽

Amene Raouf-Rahmati ◽

Alireza Mohammadi ◽

Reza Saemi ◽

...

Keyword(s):

High Risk ◽

Incidence Rate ◽

Urban Area ◽

Incidence Rates ◽

Low Risk ◽

Health Concern ◽

Surveillance Systems ◽

Cross Sectional ◽

Targeted Interventions ◽

Risk Areas

Abstract Background:Cutaneous leishmaniasis (CL) is an important public health concern worldwide. Iran is among the most CL-affected countries, being listed as one of the first six endemic countries in the world. In order to develop targeted interventions, we performed a spatial-time visualization of CL cases in an urban area to identify high-risk and low-risk areas during 2016-2019.Methods:This cross-sectional study was conducted in the city of Mashhad. Patient data were gathered from Mashhad health centers. All cases (n=2425) were diagnosed in two stages; the initial diagnosis was based on clinical findings. Subsequently, clinical manifestation was confirmed by parasitological tests. The data were aggregated at the neighborhood and district levels and smoothed CL incidence rates per 100,000 individuals were calculated using the spatial empirical Bayesian approach. Furthermore, we used the Anselin Local Moran’s I statistic to identify clusters and outliers of CL distribution during 2016-2019 in Mashhad. Results:The overall incidence rates decreased from 34.6 per 100,000 in 2016 to 19.9 per 100,000 individuals in 2019. Both cluster analyses by crude incidence rate and smoothed incidence rate identified high-risk areas in southwestern Mashhad over the study period. Furthermore, the analyses revealed low-risk areas in northeastern Mashhad over the same 3-year period.Conclusions:The southwestern area of Mashhad had the highest CL incidence rates. This piece of information might be of value to design tailored interventions such as running effective resource allocation models, informed control plans and implementation of efficient surveillance systems. Furthermore, this study generates new hypotheses to test potential relationships between socio-economic and environmental risk factors and incidence of CL in areas with higher associated risks.

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Global trends in nasopharyngeal cancer mortality since 1970 and predictions for 2020: Focus on low-risk areas

International Journal of Cancer ◽

10.1002/ijc.30660 ◽

2017 ◽

Vol 140 (10) ◽

pp. 2256-2264 ◽

Cited By ~ 19

Author(s):

Greta Carioli ◽

Eva Negri ◽

Daisuke Kawakita ◽

Werner Garavello ◽

Carlo La Vecchia ◽

...

Keyword(s):

Cancer Mortality ◽

Nasopharyngeal Cancer ◽

Low Risk ◽

Global Trends ◽

Risk Areas

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Zika pandemic online trends, incidence and health risk communication: a time trend study

BMJ Global Health ◽

10.1136/bmjgh-2017-000296 ◽

2017 ◽

Vol 2 (3) ◽

pp. e000296 ◽

Cited By ~ 12

Author(s):

Gbenga Adebayo ◽

Yehuda Neumark ◽

Anat Gesser-Edelsburg ◽

Wiessam Abu Ahmad ◽

Hagai Levine

Keyword(s):

Health Risk ◽

Risk Communication ◽

Time Trend ◽

Trend Study

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Abstract 187: Cardiac Arrest Incidence, Bystander Cardiopulmonary Resuscitation Rates, and Community Characteristics Differ by High and Low Risk Areas

Circulation ◽

10.1161/circ.140.suppl_2.187 ◽

2019 ◽

Vol 140 (Suppl_2) ◽

Author(s):

Rebecca Cash ◽

Madison K Rivard ◽

Eric Cortez ◽

David Keseg ◽

Ashish Panchal

Keyword(s):

Cardiac Arrest ◽

High Risk ◽

Cardiopulmonary Resuscitation ◽

Low Risk ◽

Poverty Level ◽

Community Characteristics ◽

Franklin County ◽

Census Tracts ◽

Bystander Cardiopulmonary Resuscitation ◽

Risk Areas

Introduction: Survival from out-of-hospital cardiac arrest (OHCA) has significant variation which may be due to differing rates of bystander cardiopulmonary resuscitation (BCPR). Defining and understanding the community characteristics of high-risk areas (census tracts with low BCPR rates and high OHCA incidence) can help inform novel interventions to improve outcomes. Our objectives were to identify high and low risk census tracts in Franklin County, Ohio and to compare the OHCA incidence, BCPR rates, and community characteristics. Methods: This was a cross-sectional analysis of OHCA events treated by Columbus Division of Fire in Franklin County, Ohio from the Cardiac Arrest Registry to Enhance Survival between 1/1/2010-12/31/2017. Included cases were 18 and older, with a cardiac etiology OHCA in a non-healthcare setting, with EMS resuscitation attempted. After geocoding to census tracts, Local Moran’s I and quartiles were used to determine clustering in high risk areas based on spatial Empirical Bayes smoothed rates. Community characteristics, from the 2014 American Community Survey, were compared between high and low risk areas. Results: From the 3,841 included OHCA cases, the mean adjusted OHCA incidence per census tract was 0.67 per 1,000 with a mean adjusted BCPR rate of 31% and mean adjusted survival to discharge of 9.4%. In the 25 census tracts identified as high-risk areas, there were significant differences in characteristics compared to low-risk areas, including a higher proportion of African Americans (64% vs. 21%, p<0.001), lower median household income ($30,948 vs. $54,388, p<0.001), and a higher proportion living below the poverty level (36% vs. 20%, p<0.001). There was a 3-fold increase in the adjusted OHCA incidence between high and low risk areas (1.68 vs. 0.57 per 1,000, p<0.001) with BCPR rates of 27% and 31% (p=0.31), respectively. Compared to a previous analysis, 9 (36%) census tracts persisted as high-risk but an additional 16 were newly identified. Conclusions: Neighborhood-level variations in OHCA incidence are dramatic with marked disparities in characteristics between high and low risk areas. It is possible that improving OHCA outcomes requires multifaceted interventions to address social determinants of health.

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