13 research outputs found

    Extent, duration and predictors of exclusive breastfeeding in a longitudinal study: adjusting for missing data using an accelerated failure time model and multiple imputation

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    Background: The World Health Organization recommends at least 6 months of exclusive breastfeeding (EBF). Longitudinal studies facilitate estimation of EBF duration, but often suffer from loss to follow-up and missing information. The study estimates the prevalence of EBF, duration and predictors of EBF duration while adjusting for missing data using multiple imputation (MI). Methods: A longitudinal study was conducted on all women giving birth between September 2009-February 2010 in selected hospitals (N=2119). Data on EBF and socio-demographic and other characteristics were collected at birth, and at 2, 6, 12 and 24 months. Information on EBF status and duration was missing for 29%. To deal with missing data, we generated multiple datasets using logistic regression-based MI to impute missing EBF practice, and an accelerated failure time (AFT) model to impute missing duration of EBF. The latter model also identified factors associated with EBF duration. Results: The observed 64% of women practicing EBF (95%CI; 62%-66%) was adjusted, after imputation, to 62% (95%CI; 60%-65%). After imputation, the estimated median time of EBF among women practicing EBF was 4.9 months. Predictors of EBF duration were stated intention to breastfeed, religious observance, and giving formula milk while in hospital. Conclusion: Adjusting estimates of EBF practice and duration using MI is feasible and potentially important. Using an AFT model for EBF duration enables the execution of MI in such studies and allows direct interpretation of the impact of various factors on EBF duration.&nbsp

    Stages of Change of the Readiness to Quit Smoking Among a Random Sample of Minority Arab-Male Smokers in Israel

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    Background Despite advanced smoking prevention and cessation policies in many countries, the prevalence of cigarette smoking among indigenous and some ethnic minorities continues to be high. This study examined the stages of change (SOC) of the readiness to quit smoking among Arab men in Israel shortly after new regulations of free-of-charge smoking cessation workshops and subsidized medications were introduced through primary health care clinics. Methods We conducted a countrywide study in Israel between 2012–2013. Participants, 735 current smokers; 18–64 years old; were recruited from a stratified random sample and interviewed face-to-face using a structured questionnaire in Arabic. We used ordered regression to examine the contribution of socio-economic position (SEP), health status, psychosocial attributes, smoking-related factors, and physician advice to the SOC of the readiness to quit smoking (pre-contemplation, contemplation and preparation). Results Of the current smokers, 61.8 % were at the pre-contemplation stage, 23.8 % were at the contemplation stage, and only 14.4 % were at the preparation stage. In the multinomial analysis, factors significantly (P \u3c 0.05) contributing to contemplation stage compared to pre-contemplation stage included [odds ratio (OR), 95 % confidence interval (CI)]: chronic morbidity [0.52, (0.31-0.88)], social support [1.35, (1.07-1.70)], duration of smoking for 11–21 years [1.94, (1.07-3.50)], three or more previous attempts to quit [2.27, (1.26-4.01)], knowledge about smoking hazards [1.75, (1.29-2.35)], positive attitudes toward smoking prevention [1.44, (1.14-1.82)], and physician advice to quit smoking [1.88, (1.19-2.97)]. The factors significantly (P \u3c 0.05) contributing to preparation stage compared to pre-contemplation stage were [OR, (95 % CI)]: chronic morbidity [0.36, (0.20-0.67)], anxiety [1.07, (1.01-1.13)], social support [1.34, (1.01-1.78)], duration of smoking 5 years or less [2.93, (1.14-7.52)], three or more previous attempts to quit [3.16, (1.60-6.26)], knowledge about smoking hazards [1.57, (1.10-2.21)], and positive attitudes toward smoking prevention [1.34, (1.00-1.82)]. Conclusions Most Arab men who currently smoke are in the pre-contemplation stage, indicating low readiness to quit smoking. New policies of free-of-charge smoking-cessation group sessions and subsidized medications introduced through primary health care clinics in Israel may be less effective among Arab men. For these policies to promote cessation more successfully, tailored interventions and campaigns may be needed to increase the readiness to quit smoking in this population, especially for those at the pre-contemplation stage

    Factors Associated With Death in Critically Ill Patients With Coronavirus Disease 2019 in the US

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    Importance: The US is currently an epicenter of the coronavirus disease 2019 (COVID-19) pandemic, yet few national data are available on patient characteristics, treatment, and outcomes of critical illness from COVID-19. Objectives: To assess factors associated with death and to examine interhospital variation in treatment and outcomes for patients with COVID-19. Design, Setting, and Participants: This multicenter cohort study assessed 2215 adults with laboratory-confirmed COVID-19 who were admitted to intensive care units (ICUs) at 65 hospitals across the US from March 4 to April 4, 2020. Exposures: Patient-level data, including demographics, comorbidities, and organ dysfunction, and hospital characteristics, including number of ICU beds. Main Outcomes and Measures: The primary outcome was 28-day in-hospital mortality. Multilevel logistic regression was used to evaluate factors associated with death and to examine interhospital variation in treatment and outcomes. Results: A total of 2215 patients (mean [SD] age, 60.5 [14.5] years; 1436 [64.8%] male; 1738 [78.5%] with at least 1 chronic comorbidity) were included in the study. At 28 days after ICU admission, 784 patients (35.4%) had died, 824 (37.2%) were discharged, and 607 (27.4%) remained hospitalized. At the end of study follow-up (median, 16 days; interquartile range, 8-28 days), 875 patients (39.5%) had died, 1203 (54.3%) were discharged, and 137 (6.2%) remained hospitalized. Factors independently associated with death included older age (≥80 vs <40 years of age: odds ratio [OR], 11.15; 95% CI, 6.19-20.06), male sex (OR, 1.50; 95% CI, 1.19-1.90), higher body mass index (≥40 vs <25: OR, 1.51; 95% CI, 1.01-2.25), coronary artery disease (OR, 1.47; 95% CI, 1.07-2.02), active cancer (OR, 2.15; 95% CI, 1.35-3.43), and the presence of hypoxemia (Pao2:Fio2<100 vs ≥300 mm Hg: OR, 2.94; 95% CI, 2.11-4.08), liver dysfunction (liver Sequential Organ Failure Assessment score of 2 vs 0: OR, 2.61; 95% CI, 1.30–5.25), and kidney dysfunction (renal Sequential Organ Failure Assessment score of 4 vs 0: OR, 2.43; 95% CI, 1.46–4.05) at ICU admission. Patients admitted to hospitals with fewer ICU beds had a higher risk of death (<50 vs ≥100 ICU beds: OR, 3.28; 95% CI, 2.16-4.99). Hospitals varied considerably in the risk-adjusted proportion of patients who died (range, 6.6%-80.8%) and in the percentage of patients who received hydroxychloroquine, tocilizumab, and other treatments and supportive therapies. Conclusions and Relevance: This study identified demographic, clinical, and hospital-level risk factors that may be associated with death in critically ill patients with COVID-19 and can facilitate the identification of medications and supportive therapies to improve outcomes.Dr. Gupta reported receiving grants from the National Institutes of Health (NIH) and is a scientific coordinator for GlaxoSmithKline’s ASCEND (Anemia Studies in Chronic Kidney Disease: Erythropoiesis via a Novel Prolyl Hydroxylase Inhibitor Daprodustat) trial. Dr. Chan reported receiving grants from the Renal Research Institute outside the submitted work. Dr. Mathews reported receiving grants from the NIH/National Heart, Lung, and Blood Institute (NHLBI) during the conduct of the study and serves on the steering committee for the BREATHE trial (Breathing Retraining for Asthma–Trial of Home Exercises), funded by Roivant/Kinevant Sciences. Dr. Melamed reported receiving honoraria from the American Board of Internal Medicine and Icon Medical Consulting. Dr. Reiser reported receiving personal fees from Biomarin, TRISAQ, Thermo BCT, Astellas, Massachusetts General Hospital, Genentech, UptoDate, Merck, Inceptionsci, GLG, and Clearview and grants from the NIH and Nephcure outside the submitted work. Dr. Srivastava reported receiving personal fees from Horizon Pharma PLC, AstraZeneca, and CVS Caremark outside the submitted work. Dr. Vijayan reported receiving personal fees from NxStage, Boeringer Ingelheim, and Sanofi outside the submitted work. Dr. Velez reported receiving personal fees from Mallinckrodt Pharmaceuticals, Retrophin, and Otsuka Pharmaceuticals outside the submitted work. Dr. Shaefi reported receiving grants from the NIH/National Institute on Aging and NIH/National Institute of General Medical Sciences outside the submitted work. Dr. Admon reported receiving grants from the NIH/NHLBI during the conduct of the study. Dr. Donnelly reported receiving grants from the NIH/NHLBI during the conduct of the study and personal fees from the American College of Emergency Physicians/Annals of Emergency Medicine outside the submitted work. Dr. Hernán reported receiving grants from the NIH during the conduct of the study. Dr. Semler reported receiving grants from the NIH/NHLBI during the conduct of the study. No other disclosures were reported

    Stages of change of the readiness to quit smoking among a random sample of minority Arab -male smokers in Israel

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    Background Despite advanced smoking prevention and cessation policies in many countries, the prevalence of cigarette smoking among indigenous and some ethnic minorities continues to be high. This study examined the stages of change (SOC) of the readiness to quit smoking among Arab men in Israel shortly after new regulations of free-of-charge smoking cessation workshops and subsidized medications were introduced through primary health care clinics. Methods We conducted a countrywide study in Israel between 2012–2013. Participants, 735 current smokers; 18–64 years old; were recruited from a stratified random sample and interviewed face-to-face using a structured questionnaire in Arabic. We used ordered regression to examine the contribution of socio-economic position (SEP), health status, psychosocial attributes, smoking-related factors, and physician advice to the SOC of the readiness to quit smoking (pre-contemplation, contemplation and preparation). Results Of the current smokers, 61.8 % were at the pre-contemplation stage, 23.8 % were at the contemplation stage, and only 14.4 % were at the preparation stage. In the multinomial analysis, factors significantly (P \u3c 0.05) contributing to contemplation stage compared to pre-contemplation stage included [odds ratio (OR), 95 % confidence interval (CI)]: chronic morbidity [0.52, (0.31-0.88)], social support [1.35, (1.07-1.70)], duration of smoking for 11–21 years [1.94, (1.07-3.50)], three or more previous attempts to quit [2.27, (1.26-4.01)], knowledge about smoking hazards [1.75, (1.29-2.35)], positive attitudes toward smoking prevention [1.44, (1.14-1.82)], and physician advice to quit smoking [1.88, (1.19-2.97)]. The factors significantly (P \u3c 0.05) contributing to preparation stage compared to pre-contemplation stage were [OR, (95 % CI)]: chronic morbidity [0.36, (0.20-0.67)], anxiety [1.07, (1.01-1.13)], social support [1.34, (1.01-1.78)], duration of smoking 5 years or less [2.93, (1.14-7.52)], three or more previous attempts to quit [3.16, (1.60-6.26)], knowledge about smoking hazards [1.57, (1.10-2.21)], and positive attitudes toward smoking prevention [1.34, (1.00-1.82)]. Conclusions Most Arab men who currently smoke are in the pre-contemplation stage, indicating low readiness to quit smoking. New policies of free-of-charge smoking-cessation group sessions and subsidized medications introduced through primary health care clinics in Israel may be less effective among Arab men. For these policies to promote cessation more successfully, tailored interventions and campaigns may be needed to increase the readiness to quit smoking in this population, especially for those at the pre-contemplation stage

    Social and Structural Determinants of Health Inequities: Socioeconomic, Transportation-Related, and Provincial-Level Indicators of Cost-Related Forgone Hospital Care in China

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    Despite near universal health insurance coverage in China, populations with low incomes may still face barriers in access and utilization of affordable health care. We aimed to identify the likelihood of forgone medical care due to cost by surveying individuals from the community to assess: (1) The percent with forgone medical care due to cost; and (2) Factors associated with forgone medical care due to cost. Surveys conducted (2016–2017) in Mandarin included demographic and medical care utilization-related items. Theoretically-informed, fully-adjusted analyses were employed. Approximately 94% of respondents had health insurance, which is somewhat similar to national estimates. Overall, 24% of respondents resided in rural areas, with 18% having less than a high school education, and 49% being male. More than 36% reported forgone medical care due to cost in the past 12 months. In fully-adjusted analyses, having lower education, generally not being satisfied with the commute to the hospital, and being a resident of a province with a lower density of physicians were associated with forgone medical care. Cost-related disparities in the access and utilization of needed medical care persist, even with near universal health insurance, which may be due to one’s satisfaction with travel time to healthcare and other community assets

    Prevalence and Predictors of Frailty in Childhood Cancer Survivors and Siblings: A Report From the Childhood Cancer Survivor Study

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    PURPOSE: To estimate the prevalence of frailty among childhood cancer survivors and to determine the direct and indirect effects of treatment exposures, lifestyle factors, and severe, disabling, and life-threatening chronic condition on frailty. METHODS: Childhood cancer survivors (≥ 5 years since diagnosis), treated between 1970 and 1999 when \u3c 21 years old (n = 10,899; mean age, 37.6 ± 9.4 years; 48% male, 86% white) and siblings were included (n = 2,097; mean age, 42.9 ± 9.4 years). Frailty was defined as ≥ 3 of the following: low lean mass, exhaustion, low energy expenditure, walking limitations, and weakness. Generalized linear models were used to evaluate direct and indirect associations between frailty and treatment exposures, sociodemographic characteristics, lifestyle factors, and chronic condition. RESULTS: The overall prevalence of frailty among survivors was 3 times higher compared with siblings (6.4%; 95% CI, 4.1% to 8.7%; 2.2%; 95% CI, 1.2% to 3.2%). Survivors of CNS tumors (9.5%; 95% CI, 5.2% to 13.8%) and bone tumors (8.1%; 95% CI, 5.1% to 11.1%) had the highest prevalence of frailty. Survivors exposed to cranial radiation, pelvic radiation ≥ 34 Gy, abdominal radiation \u3e 40 Gy, cisplatin ≥ 600 mg/m, amputation, or lung surgery had increased risk for frailty. These associations were partially but not completely attenuated when sociodemographic characteristics, lifestyle factors, and chronic conditions were added to multivariable models. Cranial radiation (prevalence ratio [PR], 1.47; 95% CI, 1.20 to 1.76), pelvic radiation ≥ 34 Gy (PR, 1.46; 95% CI, 1.01 to 2.11), and lung surgery (PR, 1.75; 95% CI, 1.28 to 2.38) remained significant after sociodemographic, lifestyle, and chronic conditions were accounted for. CONCLUSION: Childhood cancer survivors reported a higher prevalence of frailty compared with siblings. Radiation and lung surgery exposures were associated with increased risk for frailty. Interventions to prevent, delay onset, or remediate chronic disease and/or promote healthy lifestyle are needed to decrease the prevalence of frailty and preserve function in this at-risk population

    A Systematic Review of Functional Outcomes in Cancer Rehabilitation Research

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    OBJECTIVE: To systematically review the evidence regarding rehabilitation interventions targeting optimal physical or cognitive function in adults with a history of cancer, and describe the breadth of evidence as well as strengths and limitations across a range of functional domains DATA SOURCES: PubMed, CINAHL Plus, Scopus, Web of Science, EMBASE. The time scope was January 2008 - April 2019. STUDY SELECTION: Prospective, controlled trials including single- and multi-arm cohorts investigating rehabilitative interventions for cancer survivors at any point in the continuum of care were included, if studies included a primary functional outcome measure. Secondary data analyses and pilot/feasibility studies were excluded. Full text review identified 362 studies for inclusion. DATA EXTRACTION: Extraction was performed by co-author teams, and quality and bias assessed using the American Academy of Neurology (AAN) Classification of Evidence Scheme (Class I-IV). DATA SYNTHESIS: Studies for which the functional primary endpoint achieved significance were categorized into 9 functional areas foundational to cancer rehabilitation: 1) quality of life (109 studies); 2) activities of daily living (61 studies); 3) fatigue (59 studies); 4) functional mobility (55 studies); 5) exercise behavior (37 studies); 6) cognition (20 studies); 7) communication (10 studies); 8) sexual function (6 studies); and 9) return to work (5 studies). Most studies were categorized as class III in quality/bias. Averaging results found within each of the functional domains, 71% of studies reported statistically significant results following cancer rehabilitation intervention(s) for at least one functional outcome. CONCLUSIONS: These findings provide evidence supporting the efficacy of rehabilitative interventions for individuals with a cancer history. The findings should be balanced with the understanding that many studies had moderate risk of bias and/or limitations in study quality by AAN criteria. These results may provide a foundation for future work to establish clinical practice guidelines for rehabilitative interventions across cancer disease types
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