Pub Date : 2025-02-19DOI: 10.1016/j.annepidem.2025.02.006
Gie Ken-Dror , Prianka Sureshkumar , Thang S. Han , Sapna D Sharma , Padmavathy N. Sylaja , Fahmi Yousef Khan , Kameshwar Prasad , Pankaj Sharma
Background
Ischaemic heart disease (IHD) and cardiometabolic risk factors have been extensively investigated in those of European descent, yet they are more common among South Asians who make up around 20% of the world’s population. We explored the differences in IHD and cumulative metabolic profile in South Asians with stroke living in the UK, India and Qatar, compared with white British stroke patients.
Methods
The study included first-ever ischemic stroke white British patients and South Asians living in UK, India and Qatar from the ongoing large Bio-Repository of DNA in Stroke (BRAINS) international hospital-based stroke study.
Results
We analysed 4359 patients of which 1575 were white British (WB) UK residents, 1135 British South Asians (BSA), 1084 South Asians in India (ISA), and 565 South Asians in Qatar (QSA). Stroke patients from BSA and ISA background had a 9.5% (95%CI: 6.2-12.9, P<0.001) and 15.8% (95%CI: 13.1–28.9, P<0.001) higher prevalence of IHD respectively, compared to WB patients. Adjusting for traditional stroke risk factors, BSA patients continued to display an increased association of IHD compared to WB patients: OR=1.59 (95%CI: 1.25–2.02, P<0.001). Among South Asian ethnicity, compared to ISA, BSA had an almost twice the association of IHD: OR=1.83 (95%CI: 1.37-2.45, P<0.001). The OR for the presence of 2, or ≥3 cumulative cardiometabolic risk factors was 2.55 (95%CI: 2.02–3.23, P<0.001), and 3.86 (95%CI: 3.02–4.95, P<0.001) for South Asians (ISA, BSA, QSA) compared to WB patients, respectively.
Conclusion
South Asian ischaemic stroke immigrants have a higher prevalence of IHD as well as more cumulative cardiometabolic risk factors compared to those who remain on the subcontinent. Countries with large immigrant South Asian populations should focus public health campaigns to mitigate their high cardiometabolic risk profiles.
{"title":"Ischemic heart disease among South Asians with ischaemic stroke in three countries across two continents: the BRAINS study","authors":"Gie Ken-Dror , Prianka Sureshkumar , Thang S. Han , Sapna D Sharma , Padmavathy N. Sylaja , Fahmi Yousef Khan , Kameshwar Prasad , Pankaj Sharma","doi":"10.1016/j.annepidem.2025.02.006","DOIUrl":"10.1016/j.annepidem.2025.02.006","url":null,"abstract":"<div><h3>Background</h3><div>Ischaemic heart disease (IHD) and cardiometabolic risk factors have been extensively investigated in those of European descent, yet they are more common among South Asians who make up around 20% of the world’s population. We explored the differences in IHD and cumulative metabolic profile in South Asians with stroke living in the UK, India and Qatar, compared with white British stroke patients.</div></div><div><h3>Methods</h3><div>The study included first-ever ischemic stroke white British patients and South Asians living in UK, India and Qatar from the ongoing large Bio-Repository of DNA in Stroke (BRAINS) international hospital-based stroke study.</div></div><div><h3>Results</h3><div>We analysed 4359 patients of which 1575 were white British (WB) UK residents, 1135 British South Asians (BSA), 1084 South Asians in India (ISA), and 565 South Asians in Qatar (QSA). Stroke patients from BSA and ISA background had a 9.5% (95%CI: 6.2-12.9, <em>P</em><0.001) and 15.8% (95%CI: 13.1–28.9, <em>P</em><0.001) higher prevalence of IHD respectively, compared to WB patients. Adjusting for traditional stroke risk factors, BSA patients continued to display an increased association of IHD compared to WB patients: OR=1.59 (95%CI: 1.25–2.02, <em>P</em><0.001). Among South Asian ethnicity, compared to ISA, BSA had an almost twice the association of IHD: OR=1.83 (95%CI: 1.37-2.45, <em>P</em><0.001). The OR for the presence of 2, or ≥3 cumulative cardiometabolic risk factors was 2.55 (95%CI: 2.02–3.23, <em>P</em><0.001), and 3.86 (95%CI: 3.02–4.95, <em>P</em><0.001) for South Asians (ISA, BSA, QSA) compared to WB patients, respectively.</div></div><div><h3>Conclusion</h3><div>South Asian ischaemic stroke immigrants have a higher prevalence of IHD as well as more cumulative cardiometabolic risk factors compared to those who remain on the subcontinent. Countries with large immigrant South Asian populations should focus public health campaigns to mitigate their high cardiometabolic risk profiles.</div></div>","PeriodicalId":50767,"journal":{"name":"Annals of Epidemiology","volume":"103 ","pages":"Pages 48-54"},"PeriodicalIF":3.3,"publicationDate":"2025-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143473264","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-02-17DOI: 10.1016/j.annepidem.2025.02.005
Dana Waltzman PhD , Lindsey I. Black MPH , Jill Daugherty PhD , Alexis B. Peterson PhD , Benjamin Zablotsky PhD
Purpose
Surveillance of traumatic brain injury (TBI) in the United States has historically relied on healthcare administrative datasets, but these sources likely underestimate the true burden of TBI. Surveys that ask individuals to self- or proxy-report their experiences with their injuries are an alternative source for surveillance. This paper provides results from a large national survey that ascertained TBI among sampled adults and children.
Methods
Data from the 2023 National Health Interview Survey, a nationally representative household survey of the civilian non-institutionalized US population, were examined. Descriptive and bivariate statistics of demographic and injury characteristics of children and adults who sustained a TBI in the past 12 months were calculated.
Results
Analyses reveal that 3.0 % (n = 9757,000) of Americans (3.3 % of adults and 2.2 % of children (aged ≤17 years)) reported a TBI in the past year. Among children who sustained a TBI in the past year, over half (55.5 %) sustained their TBI during a sport or recreational activity, and 62.4 % were evaluated by a medical professional. The prevalence of TBI and injury characteristics varied by select demographics.
Conclusion
These findings demonstrate that TBI affects a large number of Americans and highlight the value of TBI surveillance through nationally representative surveys, providing a broad picture of prevalence, healthcare utilization, and setting of injury.
{"title":"Prevalence of traumatic brain injury among adults and children","authors":"Dana Waltzman PhD , Lindsey I. Black MPH , Jill Daugherty PhD , Alexis B. Peterson PhD , Benjamin Zablotsky PhD","doi":"10.1016/j.annepidem.2025.02.005","DOIUrl":"10.1016/j.annepidem.2025.02.005","url":null,"abstract":"<div><h3>Purpose</h3><div>Surveillance of traumatic brain injury (TBI) in the United States has historically relied on healthcare administrative datasets, but these sources likely underestimate the true burden of TBI. Surveys that ask individuals to self- or proxy-report their experiences with their injuries are an alternative source for surveillance. This paper provides results from a large national survey that ascertained TBI among sampled adults and children.</div></div><div><h3>Methods</h3><div>Data from the 2023 National Health Interview Survey, a nationally representative household survey of the civilian non-institutionalized US population, were examined. Descriptive and bivariate statistics of demographic and injury characteristics of children and adults who sustained a TBI in the past 12 months were calculated.</div></div><div><h3>Results</h3><div>Analyses reveal that 3.0 % (n = 9757,000) of Americans (3.3 % of adults and 2.2 % of children (aged ≤17 years)) reported a TBI in the past year. Among children who sustained a TBI in the past year, over half (55.5 %) sustained their TBI during a sport or recreational activity, and 62.4 % were evaluated by a medical professional. The prevalence of TBI and injury characteristics varied by select demographics.</div></div><div><h3>Conclusion</h3><div>These findings demonstrate that TBI affects a large number of Americans and highlight the value of TBI surveillance through nationally representative surveys, providing a broad picture of prevalence, healthcare utilization, and setting of injury.</div></div>","PeriodicalId":50767,"journal":{"name":"Annals of Epidemiology","volume":"103 ","pages":"Pages 40-47"},"PeriodicalIF":3.3,"publicationDate":"2025-02-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143445502","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-02-11DOI: 10.1016/j.annepidem.2025.02.002
Alyssa Watson, Mary Beth Terry
Purpose: There are limited studies examining the cancer and chronic disease comorbidity in individuals who are incarcerated in the United States.
Methods: We used the weighted analysis of 20,064 individuals from the 2016 Survey of Prison Inmates in state correctional facilities across 50 states, to examine cancers and other reported comorbid chronic conditions or diseases.
Results: 45% of 20,064 individuals reported living with at least one chronic disease. The proportion of individuals currently having cancer was 1.23% while 4.82% reported ever being diagnosed with cancer by a medical professional. Incarcerated individuals with any chronic condition or diseases reported a higher risk of currently having cancer after adjusting for smoking, time incarcerated and age (OR, 2.18; 95% CI, 1.43-3.31) compared to individuals not reporting having any chronic diseases. Conclusions There is a high burden of chronic diseases in individuals who are incarcerated, and these common chronic conditions are associated with currently having cancer even after adjusting for key risk factors for cancer like prior smoking and age. Efforts to reduce the high prevalence of chronic disease and improve cancer screening policies are necessary to improve the health of individuals who are incarcerated.
{"title":"Cancer and Chronic Disease Comorbidity in Incarcerated Individuals in the United States, Survey of Prison Inmates 2016.","authors":"Alyssa Watson, Mary Beth Terry","doi":"10.1016/j.annepidem.2025.02.002","DOIUrl":"https://doi.org/10.1016/j.annepidem.2025.02.002","url":null,"abstract":"<p><strong>Purpose: </strong>There are limited studies examining the cancer and chronic disease comorbidity in individuals who are incarcerated in the United States.</p><p><strong>Methods: </strong>We used the weighted analysis of 20,064 individuals from the 2016 Survey of Prison Inmates in state correctional facilities across 50 states, to examine cancers and other reported comorbid chronic conditions or diseases.</p><p><strong>Results: </strong>45% of 20,064 individuals reported living with at least one chronic disease. The proportion of individuals currently having cancer was 1.23% while 4.82% reported ever being diagnosed with cancer by a medical professional. Incarcerated individuals with any chronic condition or diseases reported a higher risk of currently having cancer after adjusting for smoking, time incarcerated and age (OR, 2.18; 95% CI, 1.43-3.31) compared to individuals not reporting having any chronic diseases. Conclusions There is a high burden of chronic diseases in individuals who are incarcerated, and these common chronic conditions are associated with currently having cancer even after adjusting for key risk factors for cancer like prior smoking and age. Efforts to reduce the high prevalence of chronic disease and improve cancer screening policies are necessary to improve the health of individuals who are incarcerated.</p>","PeriodicalId":50767,"journal":{"name":"Annals of Epidemiology","volume":" ","pages":""},"PeriodicalIF":3.3,"publicationDate":"2025-02-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143416003","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-02-11DOI: 10.1016/j.annepidem.2025.02.004
Lingchen Wang, Wei Yang Ph.D., M.D.
Background
Cancer and cancer treatments can weaken the body's immune system, making cancer patients particularly vulnerable to COVID-19. While evidence suggests that cancer patients may be at increased risk for severe outcomes after COVID-19 infection, there is a lack of population-based studies comparing long COVID prevalence between cancer survivors and non-cancer individuals.
Methods
We utilized data from the 2022 Behavioral Risk Factor Surveillance System (BRFSS), analyzing a sample of 120,658 U.S. adults who had tested positive for COVID-19. Long COVID was defined as the presence of COVID-19 symptoms lasting three months or longer. The weighted prevalence of long COVID was compared between cancer survivors and non-cancer individuals. Crude and adjusted odds ratios (ORs) with 95 % confidence intervals (CIs) were calculated. Multiple imputation was employed to address missing data on COVID-19 vaccination.
Results
Among 17,362 cancer survivors who tested positive for COVID-19, 4009 reported having long COVID (weighted prevalence = 24.0 %), compared to a weighted prevalence of 21.6 % in non-cancer individuals (p < 0.001). After controlling for covariates and accounting for the complex sampling design, the adjusted OR was 1.17 (95 % CI = 1.06–1.30, p = 0.002). In participants under 45 years old, cancer survivors had a notably higher prevalence of long COVID compared to non-cancer individuals (32.1 % vs. 21.3 %, p < 0.001), with an adjusted OR of 1.33 (95 % CI = 1.07–1.66, p = 0.012). In participants aged 45 and above, the prevalence difference was not significant (22.7 % vs. 21.9 %, p = 0.324), with an adjusted OR of 1.14 (95 % CI = 1.02–1.27, p = 0.024). Regarding the association of COVID-19 vaccination with long COVID, four or more doses were linked to a significant reduced odds of long COVID among cancer survivors (adjusted OR=0.55, 95 %CI = 0.34–0.88, p = 0.013).
Conclusions
Cancer survivors are observed to have higher odds of developing long COVID, particularly younger survivors. The association of COVID-19 vaccination with long COVID varies between cancer survivors and non-cancer individuals, with cancer survivors requiring more doses to achieve significant reduction in the odds of long COVID.
{"title":"Higher prevalence of long COVID observed in cancer survivors: Insights from a US nationwide survey","authors":"Lingchen Wang, Wei Yang Ph.D., M.D.","doi":"10.1016/j.annepidem.2025.02.004","DOIUrl":"10.1016/j.annepidem.2025.02.004","url":null,"abstract":"<div><h3>Background</h3><div>Cancer and cancer treatments can weaken the body's immune system, making cancer patients particularly vulnerable to COVID-19. While evidence suggests that cancer patients may be at increased risk for severe outcomes after COVID-19 infection, there is a lack of population-based studies comparing long COVID prevalence between cancer survivors and non-cancer individuals.</div></div><div><h3>Methods</h3><div>We utilized data from the 2022 Behavioral Risk Factor Surveillance System (BRFSS), analyzing a sample of 120,658 U.S. adults who had tested positive for COVID-19. Long COVID was defined as the presence of COVID-19 symptoms lasting three months or longer. The weighted prevalence of long COVID was compared between cancer survivors and non-cancer individuals. Crude and adjusted odds ratios (ORs) with 95 % confidence intervals (CIs) were calculated. Multiple imputation was employed to address missing data on COVID-19 vaccination.</div></div><div><h3>Results</h3><div>Among 17,362 cancer survivors who tested positive for COVID-19, 4009 reported having long COVID (weighted prevalence = 24.0 %), compared to a weighted prevalence of 21.6 % in non-cancer individuals (p < 0.001). After controlling for covariates and accounting for the complex sampling design, the adjusted OR was 1.17 (95 % CI = 1.06–1.30, p = 0.002). In participants under 45 years old, cancer survivors had a notably higher prevalence of long COVID compared to non-cancer individuals (32.1 % vs. 21.3 %, p < 0.001), with an adjusted OR of 1.33 (95 % CI = 1.07–1.66, p = 0.012). In participants aged 45 and above, the prevalence difference was not significant (22.7 % vs. 21.9 %, p = 0.324), with an adjusted OR of 1.14 (95 % CI = 1.02–1.27, p = 0.024). Regarding the association of COVID-19 vaccination with long COVID, four or more doses were linked to a significant reduced odds of long COVID among cancer survivors (adjusted OR=0.55, 95 %CI = 0.34–0.88, p = 0.013).</div></div><div><h3>Conclusions</h3><div>Cancer survivors are observed to have higher odds of developing long COVID, particularly younger survivors. The association of COVID-19 vaccination with long COVID varies between cancer survivors and non-cancer individuals, with cancer survivors requiring more doses to achieve significant reduction in the odds of long COVID.</div></div>","PeriodicalId":50767,"journal":{"name":"Annals of Epidemiology","volume":"103 ","pages":"Pages 30-39"},"PeriodicalIF":3.3,"publicationDate":"2025-02-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143415945","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-02-10DOI: 10.1016/j.annepidem.2025.01.012
Linard Hoessly
We refer to a recent paper by Hughes and show that despite similarities in the rough form between Tjurs coefficient of discrimination and Youden index for assessing diagnostic test performance on contingency tables, the two functions are different.
{"title":"Youden index and Tjur’s R2 in 2 × 2 tables","authors":"Linard Hoessly","doi":"10.1016/j.annepidem.2025.01.012","DOIUrl":"10.1016/j.annepidem.2025.01.012","url":null,"abstract":"<div><div>We refer to a recent paper by Hughes and show that despite similarities in the rough form between Tjurs <span><math><msup><mrow><mi>R</mi></mrow><mrow><mn>2</mn></mrow></msup></math></span> coefficient of discrimination and Youden index for assessing diagnostic test performance on <span><math><mrow><mn>2</mn><mo>×</mo><mn>2</mn></mrow></math></span> contingency tables, the two functions are different.</div></div>","PeriodicalId":50767,"journal":{"name":"Annals of Epidemiology","volume":"103 ","pages":"Pages 28-29"},"PeriodicalIF":3.3,"publicationDate":"2025-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143386588","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-02-06DOI: 10.1016/j.annepidem.2025.02.001
Alexander Testa , Karyn Fu , Dylan B. Jackson , Daniel C. Semenza , Sandra McKay
This study investigates the relationship between adverse childhood experiences (ACEs) and firearm storage practices among adults in firearm-owning households using data from the 2023 Behavioral Risk Factor Surveillance System (BRFSS) across Nevada, New Jersey, Oregon, and Virginia. Findings from multiple logistic regression analyses reveal that relative to respondents with 0 ACEs, 2–3 ACEs (Adjusted Odds Ratio [aOR] = 1.48, 95 % Confidence Interval [CI] = 1.12–1.97, p = .007) and 4 + ACEs (aOR = 1.60, 95 % CI = 1.19–2.16, p = .002) were associated with a higher likelihood of storing a firearm loaded versus unloaded. Among individual ACE items, household alcoholism (aOR = 1.36, 95 % CI = 1.08–1.71, p = .008), household incarceration (aOR = 1.67, 95 % CI = 1.18–2.36, p = .004), parental divorce/separation (aOR = 1.37, 95 % CI = 1.09–1.72, p = .007) were associated with higher odds of storing a firearm loaded. These findings underscore the need for tailored public health interventions that address the lasting impacts of childhood adversity on health and safety practices in adulthood.
{"title":"Adverse childhood experiences and firearm storage patterns","authors":"Alexander Testa , Karyn Fu , Dylan B. Jackson , Daniel C. Semenza , Sandra McKay","doi":"10.1016/j.annepidem.2025.02.001","DOIUrl":"10.1016/j.annepidem.2025.02.001","url":null,"abstract":"<div><div>This study investigates the relationship between adverse childhood experiences (ACEs) and firearm storage practices among adults in firearm-owning households using data from the 2023 Behavioral Risk Factor Surveillance System (BRFSS) across Nevada, New Jersey, Oregon, and Virginia. Findings from multiple logistic regression analyses reveal that relative to respondents with 0 ACEs, 2–3 ACEs (Adjusted Odds Ratio [aOR] = 1.48, 95 % Confidence Interval [CI] = 1.12–1.97, <em>p</em> = .007) and 4 + ACEs (aOR = 1.60, 95 % CI = 1.19–2.16, <em>p</em> = .002) were associated with a higher likelihood of storing a firearm loaded versus unloaded. Among individual ACE items, household alcoholism (aOR = 1.36, 95 % CI = 1.08–1.71, <em>p</em> = .008), household incarceration (aOR = 1.67, 95 % CI = 1.18–2.36, <em>p</em> = .004), parental divorce/separation (aOR = 1.37, 95 % CI = 1.09–1.72, <em>p</em> = .007) were associated with higher odds of storing a firearm loaded. These findings underscore the need for tailored public health interventions that address the lasting impacts of childhood adversity on health and safety practices in adulthood.</div></div>","PeriodicalId":50767,"journal":{"name":"Annals of Epidemiology","volume":"103 ","pages":"Pages 16-20"},"PeriodicalIF":3.3,"publicationDate":"2025-02-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143350718","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-02-06DOI: 10.1016/j.annepidem.2025.01.009
Aryana Sepassi PharmD, MAS , Samantha Garcia PhD, MPH, CHES , Sora Tanjasiri DrPH , Sunmin Lee ScD , Nana Entsuah-Boateng PharmD , Mark Bounthavong PharmD, PhD, MPH
Purpose
To investigate the association between nativity and COVID-19 vaccine acceptance and its interaction with race/ethnicity, education, and English proficiency.
Methods
Differences in vaccine acceptance among propensity-score matched foreign- and US-born persons using 2021 California Health Interview Survey Data were measured using a survey-weighted multivariable logistic regression model with interaction terms and average predicted probabilities between nativity and: race/ethnicity, education, English proficiency.
Results
A total of 4,234,655 survey-weighted persons (8504 unweighted) met inclusion criteria; 2251,279 (53 %) were foreign-born (1,983,376 US-born), and 55 % of all persons were Hispanic/Latino, 22 % were Non-Hispanic White, 17 % were Non-Hispanic Asian/Pacific Islander, 3.6 % were Non-Hispanic Black/African American, and 2.5 % were categorized as ‘Other’. Foreign-born status was significantly associated with greater odds of acceptance (adjusted odds ratio [aOR], 2.81 [95 %CI, 1.16–6.83]). Foreign-born Hispanic persons had a significantly greater probability of acceptance compared to their US-born counterparts (average probability difference, +0.11 [95 %CI, +0.023, +0.20]). Foreign-born persons with poor English proficiency had a lower probability of acceptance versus US-born persons (APD, −0.081, [95 %CI, −0.43, 0.27]).
Conclusions
Nativity was significantly associated with COVID-19 vaccine acceptance, and this relationship varied by race/ethnicity and English proficiency. These findings may be used to direct future interventions aimed at improving COVID-19 vaccination rates.
{"title":"COVID-19 vaccine acceptance differences among unvaccinated foreign- and united states-born persons: A cross-sectional study, 2021","authors":"Aryana Sepassi PharmD, MAS , Samantha Garcia PhD, MPH, CHES , Sora Tanjasiri DrPH , Sunmin Lee ScD , Nana Entsuah-Boateng PharmD , Mark Bounthavong PharmD, PhD, MPH","doi":"10.1016/j.annepidem.2025.01.009","DOIUrl":"10.1016/j.annepidem.2025.01.009","url":null,"abstract":"<div><h3>Purpose</h3><div>To investigate the association between nativity and COVID-19 vaccine acceptance and its interaction with race/ethnicity, education, and English proficiency.</div></div><div><h3>Methods</h3><div>Differences in vaccine acceptance among propensity-score matched foreign- and US-born persons using 2021 California Health Interview Survey Data were measured using a survey-weighted multivariable logistic regression model with interaction terms and average predicted probabilities between nativity and: race/ethnicity, education, English proficiency.</div></div><div><h3>Results</h3><div>A total of 4,234,655 survey-weighted persons (8504 unweighted) met inclusion criteria; 2251,279 (53 %) were foreign-born (1,983,376 US-born), and 55 % of all persons were Hispanic/Latino, 22 % were Non-Hispanic White, 17 % were Non-Hispanic Asian/Pacific Islander, 3.6 % were Non-Hispanic Black/African American, and 2.5 % were categorized as ‘Other’. Foreign-born status was significantly associated with greater odds of acceptance (adjusted odds ratio [aOR], 2.81 [95 %CI, 1.16–6.83]). Foreign-born Hispanic persons had a significantly greater probability of acceptance compared to their US-born counterparts (average probability difference, +0.11 [95 %CI, +0.023, +0.20]). Foreign-born persons with poor English proficiency had a lower probability of acceptance versus US-born persons (APD, −0.081, [95 %CI, −0.43, 0.27]).</div></div><div><h3>Conclusions</h3><div>Nativity was significantly associated with COVID-19 vaccine acceptance, and this relationship varied by race/ethnicity and English proficiency. These findings may be used to direct future interventions aimed at improving COVID-19 vaccination rates.</div></div>","PeriodicalId":50767,"journal":{"name":"Annals of Epidemiology","volume":"103 ","pages":"Pages 21-27"},"PeriodicalIF":3.3,"publicationDate":"2025-02-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143373104","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-02-01DOI: 10.1016/j.annepidem.2025.01.007
Paul J. Geiger , Lauren Klein Warren , Leyla Stambaugh , Douglas Richesson , Tenecia Smith , Jennifer Hoenig
{"title":"Prevalence estimates of mental illness among parents in the United States: Results from the National Survey on Drug Use and Health, 2021–2023","authors":"Paul J. Geiger , Lauren Klein Warren , Leyla Stambaugh , Douglas Richesson , Tenecia Smith , Jennifer Hoenig","doi":"10.1016/j.annepidem.2025.01.007","DOIUrl":"10.1016/j.annepidem.2025.01.007","url":null,"abstract":"","PeriodicalId":50767,"journal":{"name":"Annals of Epidemiology","volume":"102 ","pages":"Pages 91-93"},"PeriodicalIF":3.3,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143029811","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-02-01DOI: 10.1016/j.annepidem.2025.01.002
Yingyan Wu MS , Eleanor Hayes-Larson PhD, MPH , Yixuan Zhou , Vincent Bouteloup PharmD , Scott C. Zimmerman MPH , Anna M. Pederson MPH , Vincent Planche MD, PhD , Marissa J. Seamans PhD, MSPH , Daniel Westreich PhD , M. Maria Glymour , Laura E. Gibbons PhD , Carole Dufouil PhD , Elizabeth Rose Mayeda PhD, MPH
Purpose
Harmonizing variables for constructs measured differently across studies is essential for comparing, combining, and generalizing results. We developed and fielded a brief survey to harmonize Likert and continuous versions of measures for two constructs, self-rated health and self-rated memory, for use in studies of French older adults.
Methods
We recruited 300 participants from a French memory clinic in 2023 to answer both the Likert and continuous versions of self-rated health and self-rated memory questions. For each construct, we predicted responses to the Likert version with multinomial and ordinal logistic models, varying specifications of continuous version responses (linear or spline) and covariate sets (question order, age, sex/gender, and interactions between the continuous version and covariates). We also implemented a percentiles-based crosswalk sensitivity analysis. We compared Cohen’s weighted kappa values to identify the best statistical harmonization approach.
Results
In the final models [multinomial models with continuous version spline, question order (self-rated memory model only), age, sex/gender, and interactions between the continuous version and covariates], weighted kappa values were 0.61 for self-rated health and 0.60 for self-rated memory, reflecting moderate agreement.
Conclusions
Primary data collection feasibly facilitates statistical harmonization of variables for constructs measured differently across studies.
{"title":"Statistical harmonization of versions of measures across studies using external data: Self-rated health and self-rated memory","authors":"Yingyan Wu MS , Eleanor Hayes-Larson PhD, MPH , Yixuan Zhou , Vincent Bouteloup PharmD , Scott C. Zimmerman MPH , Anna M. Pederson MPH , Vincent Planche MD, PhD , Marissa J. Seamans PhD, MSPH , Daniel Westreich PhD , M. Maria Glymour , Laura E. Gibbons PhD , Carole Dufouil PhD , Elizabeth Rose Mayeda PhD, MPH","doi":"10.1016/j.annepidem.2025.01.002","DOIUrl":"10.1016/j.annepidem.2025.01.002","url":null,"abstract":"<div><h3>Purpose</h3><div>Harmonizing variables for constructs measured differently across studies is essential for comparing, combining, and generalizing results. We developed and fielded a brief survey to harmonize Likert and continuous versions of measures for two constructs, self-rated health and self-rated memory, for use in studies of French older adults.</div></div><div><h3>Methods</h3><div>We recruited 300 participants from a French memory clinic in 2023 to answer both the Likert and continuous versions of self-rated health and self-rated memory questions. For each construct, we predicted responses to the Likert version with multinomial and ordinal logistic models, varying specifications of continuous version responses (linear or spline) and covariate sets (question order, age, sex/gender, and interactions between the continuous version and covariates). We also implemented a percentiles-based crosswalk sensitivity analysis. We compared Cohen’s weighted kappa values to identify the best statistical harmonization approach.</div></div><div><h3>Results</h3><div>In the final models [multinomial models with continuous version spline, question order (self-rated memory model only), age, sex/gender, and interactions between the continuous version and covariates], weighted kappa values were 0.61 for self-rated health and 0.60 for self-rated memory, reflecting moderate agreement.</div></div><div><h3>Conclusions</h3><div>Primary data collection feasibly facilitates statistical harmonization of variables for constructs measured differently across studies.</div></div>","PeriodicalId":50767,"journal":{"name":"Annals of Epidemiology","volume":"102 ","pages":"Pages 86-90"},"PeriodicalIF":3.3,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142973142","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-02-01DOI: 10.1016/j.annepidem.2024.12.012
Charles W. Goss , Lindsey M. Filiatreau , Lisa R. Hirschhorn , Mark D. Huffman , Aaloke Mody , Byron J. Powell , Emmanuel Tetteh , Elvin H. Geng , Mosepele Mosepele
Background
Identifying and monitoring adverse effects (AEs) are integral to ensuring patient safety in clinical trials. Research sponsors and regulatory bodies have put into place a variety of policies and procedures to guide researchers in protecting patient safety during clinical trials. However, it remains unclear how these policies and procedures should be adapted for trials in implementation science. As a starting point, we develop a conceptual model that traces causal pathways leading from implementation strategies to AEs, propose a definition and classification of such effects, and provide recommendations for monitoring and oversight.
Main text
We propose four major types of adverse effects for implementation trials. First, we characterize implementation strategies that lead to “proper use” of an intervention that align with AEs as conceptualized and reported in clinical trials. Second, we characterize a strategy’s AEs mediated through “misuse” which involves inappropriate utilization of an evidence-based intervention (EBI). Third, we characterize a strategy which focuses on one EBI and may inadvertently cause the inappropriate discontinuation or “disuse” of other EBIs already in place, thus inducing AEs. Finally, we characterize strategies that may cause AEs by reducing the use of an EBI in the target population (i.e., “nonuse”). Based on these considerations, we propose an extended definition of adverse effects that includes harms that are causally related to implementation strategies, termed Implementation strategy Adverse Effects (IAEs). We recommend researchers, oversight committees, sponsors, and other stakeholders work together prior to trials to determine the best approaches for identifying, monitoring, and reporting IAEs.
Conclusions
In this paper, we develop a conceptual model to identify four types of AEs in implementation trials clarifying the mechanisms linking implementation strategies to patterns of use of the EBI and potential patient-level harms. We propose a new definition that links implementation strategies to AEs that can be used to guide conceptualization, monitoring, and oversight of potential harms in future implementation trials. Our work represents an important step towards understanding adverse effects in implementation trials and lays the groundwork for future advancement in the conceptualization of other types of adverse effects (e.g., harms to providers) encountered in implementation trials.
{"title":"Conceptualizing patient-level adverse effects in implementation trials","authors":"Charles W. Goss , Lindsey M. Filiatreau , Lisa R. Hirschhorn , Mark D. Huffman , Aaloke Mody , Byron J. Powell , Emmanuel Tetteh , Elvin H. Geng , Mosepele Mosepele","doi":"10.1016/j.annepidem.2024.12.012","DOIUrl":"10.1016/j.annepidem.2024.12.012","url":null,"abstract":"<div><h3>Background</h3><div>Identifying and monitoring adverse effects (AEs) are integral to ensuring patient safety in clinical trials. Research sponsors and regulatory bodies have put into place a variety of policies and procedures to guide researchers in protecting patient safety during clinical trials. However, it remains unclear how these policies and procedures should be adapted for trials in implementation science. As a starting point, we develop a conceptual model that traces causal pathways leading from implementation strategies to AEs, propose a definition and classification of such effects, and provide recommendations for monitoring and oversight.</div></div><div><h3>Main text</h3><div>We propose four major types of adverse effects for implementation trials. First, we characterize implementation strategies that lead to “proper use” of an intervention that align with AEs as conceptualized and reported in clinical trials. Second, we characterize a strategy’s AEs mediated through “misuse” which involves inappropriate utilization of an evidence-based intervention (EBI). Third, we characterize a strategy which focuses on one EBI and may inadvertently cause the inappropriate discontinuation or “disuse” of other EBIs already in place, thus inducing AEs. Finally, we characterize strategies that may cause AEs by reducing the use of an EBI in the target population (i.e., “nonuse”). Based on these considerations, we propose an extended definition of adverse effects that includes harms that are causally related to implementation strategies, termed Implementation strategy Adverse Effects (IAEs). We recommend researchers, oversight committees, sponsors, and other stakeholders work together prior to trials to determine the best approaches for identifying, monitoring, and reporting IAEs.</div></div><div><h3>Conclusions</h3><div>In this paper, we develop a conceptual model to identify four types of AEs in implementation trials clarifying the mechanisms linking implementation strategies to patterns of use of the EBI and potential patient-level harms. We propose a new definition that links implementation strategies to AEs that can be used to guide conceptualization, monitoring, and oversight of potential harms in future implementation trials. Our work represents an important step towards understanding adverse effects in implementation trials and lays the groundwork for future advancement in the conceptualization of other types of adverse effects (e.g., harms to providers) encountered in implementation trials.</div></div>","PeriodicalId":50767,"journal":{"name":"Annals of Epidemiology","volume":"102 ","pages":"Pages 55-61"},"PeriodicalIF":3.3,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142900185","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}