scholarly journals Model-Based Patterns of Lymphedema Symptomatology: Phenotypic and Biomarker Characterization

2020 ◽  
Author(s):  
Mei R. Fu ◽  
Bradley E Aouizerat ◽  
Gary Yu ◽  
Yvette Conley ◽  
Deborah Axelrod ◽  
...  
Keyword(s):  
Breast Cancer Survivors ◽  
Latent Class ◽  
Severe Symptom ◽  
Repeated Measure ◽  
Phenotypic Characteristics ◽  
Post Surgery ◽  
Lower Education Level ◽  
Measure Design ◽  
Lower Education ◽  
Symptom Patterns

Abstract Purpose of the Study More than 50% of breast cancer survivors without a diagnosis of lymphedema suffer daily from numerous and co-occurring lymphedema symptoms. This study aimed to identify lymphedema symptom patterns and the association of such patterns with phenotypic characteristics and biomarkers using latent class analysis (LCA). A prospective, descriptive, and repeated-measure design was used to enroll 140 women and collect data. Recent Findings LCA identified three distinct lymphedema symptom classes at 8 weeks and 12 months post-surgery: low, moderate, and severe symptom classes and associated phenotypic characteristics. Participants were more likely to be in the severe symptom classes at 12 months post-surgery if they had lower education level, cording, an axillary syndrome at 8 weeks post-surgery, neoadjuvant chemotherapy, and radiation. Summary Pre-surgery level of IL1-a, IL-6, IL-8, and VEGF was associated with the severe symptom class at 8 weeks post-surgery, suggesting that such biomarkers may be used to predict risk for lymphedema symptoms.

scholarly journals Predictors of resignation and sick leave after cancer dianosis among Japanese breast cancer survivors: a cross-sectional study

2020 ◽  
Author(s):  
Kiyomi Mitsui ◽  
Motoki Endo ◽  
Yuya Imai ◽  
Yuito Ueda ◽  
Hiroko Ogawa ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Cancer Diagnosis ◽  
Breast Cancer Survivors ◽  
Breast Cancer Diagnosis ◽  
Education Level ◽  
Cross Sectional ◽  
Lower Education Level ◽  
Younger Age ◽  
Lower Education ◽  
After Cancer

Abstract Background: In Japan, 55.5% of breast cancer survivors (BCSs) are of working age, so various perspectives regarding return to work (RTW) after cancer diagnosis need to be considered. Therefore, this study aimed to clarify the risk factors for resignation and taking sick leave (SL) among BCSs in continued employment at the time of diagnosis.Methods: A web-based retrospective cross-sectional survey was conducted on BCSs using data from a 2018 Japanese national research project (Endo-Han) commissioned by the Ministry of Health, Labour and Welfare of Japan. The subjects were women aged 18–69 years who had been diagnosed with breast cancer for the first time at least 1 year previously. The risk factors for resignation and taking SL after breast cancer diagnosis, including age at diagnosis, education level, cancer stage, surgery, chemotherapy, radiotherapy, employment status, and occupational type, were then analyzed using a logistic regression model.Results: In total, 40 (14.9%) of 269 BCSs quit their jobs at least 1 year after being diagnosed with breast cancer. The results of the multivariable analysis indicated that lower education level (odds ratio [OR]: 3.802; 95% confidence interval [CI]: 1.233–11.729), taking SL (OR: 2.514; 95%CI: 1.202–5.261), and younger age at diagnosis (OR: 0.470; 95%CI: 0.221–0.998) were predictors of resignation. Of 229 patients who continued working, SL was taken by 72 (31.4%). In addition, undergoing surgery was found to be a predictor of taking SL (OR: 8.311; 95%CI: 1.007–68.621).Conclusions: In total, 40 (14.9%) of 269 BCSs quit their jobs at least 1 year after being diagnosed with breast cancer. The results of this study indicated that younger age, lower education level, and taking SL were predictors of resignation after breast cancer diagnosis.

scholarly journals Predictors of resignation and sick leave after cancer dianosis among Japanese breast cancer survivors: a cross-sectional study

2021 ◽  
Author(s):  
Kiyomi Mitsui ◽  
Motoki Endo ◽  
Yuya Imai ◽  
Yuito Ueda ◽  
Hiroko Ogawa ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Cancer Diagnosis ◽  
Breast Cancer Survivors ◽  
Breast Cancer Diagnosis ◽  
Education Level ◽  
Cross Sectional ◽  
Lower Education Level ◽  
Younger Age ◽  
Lower Education ◽  
After Cancer

Abstract Background: In Japan, 55.5% of breast cancer survivors (BCSs) are of working age, so various perspectives regarding return to work (RTW) after cancer diagnosis need to be considered. Therefore, this study aimed to clarify the risk factors for resignation and taking sick leave (SL) among BCSs in continued employment at the time of diagnosis.Methods: A web-based retrospective cross-sectional survey was conducted on BCSs using data from a 2018 Japanese national research project (Endo-Han) commissioned by the Ministry of Health, Labour and Welfare of Japan. The subjects were women aged 18–69 years who had been diagnosed with breast cancer for the first time at least 1 year previously. The risk factors for resignation and taking SL after breast cancer diagnosis, including age at diagnosis, education level, cancer stage, surgery, chemotherapy, radiotherapy, employment status, and occupational type, were then analyzed using a logistic regression model.Results: In total, 40 (14.9%) of 269 BCSs quit their jobs at least 1 year after being diagnosed with breast cancer. The results of the multivariable analysis indicated that lower education level (odds ratio [OR]: 3.802; 95% confidence interval [CI]: 1.233–11.729), taking SL (OR: 2.514; 95%CI: 1.202–5.261), and younger age at diagnosis (OR: 0.470; 95%CI: 0.221–0.998) were predictors of resignation. Of 229 patients who continued working, SL was taken by 72 (31.4%). In addition, undergoing surgery was found to be a predictor of taking SL (OR: 8.311; 95%CI: 1.007–68.621).Conclusions: In total, 40 (14.9%) of 269 BCSs quit their jobs at least 1 year after being diagnosed with breast cancer. The results of this study indicated that younger age, lower education level, and taking SL were predictors of resignation after breast cancer diagnosis.

scholarly journals Predictors of resignation and sick leave after cancer dianosis among Japanese breast cancer survivors: a cross-sectional study

2020 ◽  
Author(s):  
Kiyomi Mitsui ◽  
Motoki Endo ◽  
Yuya Imai ◽  
Yuito Ueda ◽  
Hiroko Ogawa ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Cancer Diagnosis ◽  
Breast Cancer Survivors ◽  
Breast Cancer Diagnosis ◽  
Education Level ◽  
Cross Sectional ◽  
Lower Education Level ◽  
Younger Age ◽  
Lower Education ◽  
After Cancer

Abstract Background: In Japan, 55.5% of breast cancer survivors (BCSs) are of working age, so various perspectives regarding return to work (RTW) after cancer diagnosis need to be considered. Therefore, this study aimed to clarify the risk factors for resignation and taking sick leave (SL) among BCSs in continued employment at the time of diagnosis.Methods: A web-based retrospective cross-sectional survey was conducted on BCSs using data from a 2018 Japanese national research project (Endo-Han) commissioned by the Ministry of Health, Labour and Welfare of Japan. The subjects were women aged 18–69 years who had been diagnosed with breast cancer for the first time at least 1 year previously. The risk factors for resignation and taking SL after breast cancer diagnosis, including age at diagnosis, education level, cancer stage, surgery, chemotherapy, radiotherapy, employment status, and occupational type, were then analyzed using a logistic regression model.Results: In total, 40 (14.9%) of 269 BCSs quit their jobs at least 1 year after being diagnosed with breast cancer. The results of the multivariable analysis indicated that lower education level (odds ratio [OR]: 3.802; 95% confidence interval [CI]: 1.233–11.729), taking SL (OR: 2.514; 95%CI: 1.202–5.261), and younger age at diagnosis (OR: 0.470; 95%CI: 0.221–0.998) were predictors of resignation. Of 229 patients who continued working, SL was taken by 72 (31.4%). In addition, undergoing surgery was found to be a predictor of taking SL (OR: 8.311; 95%CI: 1.007–68.621).Conclusions: In total, 40 (14.9%) of 269 BCSs quit their jobs at least 1 year after being diagnosed with breast cancer. The results of this study indicated that younger age, lower education level, and taking SL were predictors of resignation after breast cancer diagnosis.

scholarly journals Predictors of resignation and sick leave after cancer diagnosis among Japanese breast cancer survivors: a cross-sectional study

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Kiyomi Mitsui ◽  
Motoki Endo ◽  
Yuya Imai ◽  
Yuito Ueda ◽  
Hiroko Ogawa ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Cancer Diagnosis ◽  
Breast Cancer Survivors ◽  
Breast Cancer Diagnosis ◽  
Education Level ◽  
Cross Sectional ◽  
Lower Education Level ◽  
Younger Age ◽  
Lower Education ◽  
After Cancer

Abstract Background In Japan, 55.5% of breast cancer survivors (BCSs) are of working age, so various perspectives regarding return to work (RTW) after cancer diagnosis need to be considered. Therefore, this study aimed to clarify the risk factors for resignation and taking sick leave (SL) among BCSs in continued employment at the time of diagnosis. Methods A web-based retrospective cross-sectional survey was conducted on BCSs using data from a 2018 Japanese national research project (Endo-Han) commissioned by the Ministry of Health, Labour and Welfare of Japan. The subjects were women aged 18–69 years who had been diagnosed with breast cancer for the first time at least 1 year previously. The risk factors for resignation and taking SL after breast cancer diagnosis, including age at diagnosis, education level, cancer stage, surgery, chemotherapy, radiotherapy, employment status, and occupational type, were then analyzed using a logistic regression model. Results In total, 40 (14.9%) of 269 BCSs quit their jobs at least 1 year after being diagnosed with breast cancer. The results of the multivariable analysis indicated that lower education level (odds ratio [OR]: 3.802; 95% confidence interval [CI]: 1.233–11.729), taking SL (OR: 2.514; 95%CI: 1.202–5.261), and younger age at diagnosis (OR: 0.470; 95%CI: 0.221–0.998) were predictors of resignation. Of 229 patients who continued working, SL was taken by 72 (31.4%). In addition, undergoing surgery was found to be a predictor of taking SL (OR: 8.311; 95%CI: 1.007–68.621). Conclusions In total, 40 (14.9%) of 269 BCSs quit their jobs at least 1 year after being diagnosed with breast cancer. The results of this study indicated that younger age, lower education level, and taking SL were predictors of resignation after breast cancer diagnosis.

scholarly journals Repeat Induced Abortion among Chinese Women Seeking Abortion: Two Cross Sectional Studies

2021 ◽  
Vol 18 (9) ◽  
pp. 4446
Author(s):  
Longmei Tang ◽  
Shangchun Wu ◽  
Dianwu Liu ◽  
Marleen Temmerman ◽  
Wei-Hong Zhang
Keyword(s):  
Negative Binomial ◽  
Induced Abortion ◽  
Education Level ◽  
Married Women ◽  
Negative Binomial Regression Model ◽  
Related Factors ◽  
Cross Sectional ◽  
Lower Education Level ◽  
Induced Abortions ◽  
Lower Education

Background: In China, there were about 9.76 million induced abortions in 2019, 50% of which were repeat abortions. Understanding the tendency of repeat induced abortion and identifying its related factors is needed to develop prevention strategies. Methods: Two hospital-based cross-sectional surveys were conducted from 2005–2007 and 2013–2016 in 24 and 90 hospitals, respectively. The survey included women who sought an induced abortion within 12 weeks of pregnancy. The proportion of repeat induced abortions by adjusting the covariates through propensity score matching was compared between the two surveys, and the zero-inflated negative binomial regression model was established to identify independent factors of repeat induced abortion. Results: Adjusting the age, occupation, education, marital status and number of children, the proportion of repeat induced abortions in the second survey was found to be low (60.28% vs. 11.11%), however the unadjusted proportion was high in the second survey (44.97% vs. 51.54%). The risk of repeat induced abortion was higher among married women and women with children [ORadj and 95% CI: 0.31 (0.20, 0.49) and 0.08 (0.05, 0.13)]; the risk among service industry staff was higher when compared with unemployed women [ORadj and 95% CI: 0.19 (0.07, 0.54)]; women with a lower education level were at a higher risk of a repeat induced abortion (ORadj < 1). Compared with women under the age of 20, women in other higher age groups had a higher frequency of repeat induced abortions (IRadj: 1.78, 2.55, 3.27, 4.01, and 3.93, separately); the frequency of women with lower education levels was higher than those with a university or higher education level (IRadj > 1); the repeat induced abortion frequency of married women was 0.93 (0.90, 0.98) when compared to the frequency of unmarried women, while the frequency of women with children was 1.17 (1.10, 1.25) of childless women; the induced abortion frequency of working women was about 60–95% with that of unemployed women. Conclusions: The repeat induced abortion proportion was lower than 10 years ago. Induced abortion seekers who were married, aged 20 to 30 years and with a lower education level were more likely to repeat induced abortions.

scholarly journals Cardio-metabolic and socio-demographic risk factors associated with dependency in basic and instrumental activities of daily living among older Iranian adults: Bushehr elderly health program

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Kazem Khalagi ◽  
Akram Ansarifar ◽  
Noushin Fahimfar ◽  
Mahnaz Sanjari ◽  
Safoora Gharibzdeh ◽  
...  
Keyword(s):  
Physical Activity ◽  
Activities Of Daily Living ◽  
Daily Living ◽  
Education Level ◽  
Lower Education Level ◽  
History Of ◽  
Elderly Health ◽  
Lower Education ◽  
Demographic Risk ◽  
Demographic Risk Factors

Abstract Background Iran’s population is aging. Disability is a major public health problem for older adults, not only in Iran but all over the world. The purpose of this study was to investigate the relationship between cardio-metabolic and socio-demographic risk factors and disability in people 60 years and older in Iran. Methods The baseline (cross-sectional) data of 2426 samples from the Bushehr Elderly Health (BEH) program was included in the analysis. The participants were selected through multi-stage random sampling in Bushehr, southern Iran. Socio-demographic characteristics, as well as the history of diabetes and other chronic diseases, and smoking were measured using standardized questionnaires. Anthropometric measurements and laboratory tests were performed under standard conditions. Dependency was determined by the questionnaires of basic activities of daily living (BADL) and instrumental activities of daily living (IADL) using Barthel and Lawton scales respectively. Multiple logistic regression was used in the analysis. Results Mean (Standard Deviation) of the participants’ age was 69.3 (6.4) years (range: 60 and 96 years), and 48.1% of the participants were men. After adjusting for potential confounders, being older, being female (OR (95%CI): 2.3 (1.9–2.9)), having a lower education level, a history of diabetes mellitus (OR: 1.4 (1.2–1.7)) and past smoking (OR: 1.3 (1.0–1.6)), and no physical activity (OR: 1.5 (1.2–1.9)) were significantly associated with dependency in IADL. Also, being older and female (OR: 2.4 (1.9–3.0)), having a lower education level, no physical activity (OR: 2.2 (1.6–2.9)) and daily intake of calories (OR: 0.99 (0.99–0.99)) were associated with dependency in BADL. Conclusion Dependency in older adults can be prevented by increasing community literacy, improving physical activity, preventing and controlling diabetes mellitus, avoiding smoking, and reducing daily calorie intake.

scholarly journals Dietary glutamic acid and aspartic acid as biomarkers for predicting diabetic retinopathy

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
So Young Park ◽  
Jieun Kim ◽  
Jung Il Son ◽  
Sang Youl Rhee ◽  
Do-Yeon Kim ◽  
...  
Keyword(s):  
Diabetic Retinopathy ◽  
Glutamic Acid ◽  
Aspartic Acid ◽  
Education Level ◽  
Screening Rate ◽  
Food Records ◽  
Acid Intake ◽  
Lower Education Level ◽  
Lower Education

AbstractThe screening rate of diabetic retinopathy (DR) is low despite the importance of early diagnosis. We investigated the predictive value of dietary glutamic acid and aspartic acid for diagnosis of DR using the Korea National Diabetes Program cohort study. The 2067 patients with type 2 diabetes without DR were included. The baseline intakes of energy, glutamic acid and aspartic acid were assessed using a 3-day food records. The risk of DR incidence based on intake of glutamic acid and aspartic acid was analyzed. The DR group was older, and had higher HbA1c, longer DM duration, lower education level and income than non-DR group (all p < 0.05). The intake of total energy, glutamic acid and aspartic acid were lower in DR group than non-DR group (p = 0.010, p = 0.025 and p = 0.042, respectively). There was no difference in the risk of developing DR according to the intake of glutamic acid and ascorbic acid. But, aspartic acid intake had a negative correlation with PDR. Hence, the intake of glutamic acid and aspartic acid did not affect in DR incidence. However, lower aspartic acid intake affected the PDR incidence.

Smoking Behavior Changes during COVID-19 among Korean Adults

2021 ◽  
Vol 45 (6) ◽  
pp. 1031-1040
Author(s):  
Mi Ah Han ◽  
Hae Ran Kim
Keyword(s):  
Mental Health Problems ◽  
Smoking Behavior ◽  
Subjective Health ◽  
Economic Damage ◽  
Behavior Changes ◽  
Depression And Anxiety ◽  
Subjective Health Status ◽  
Lower Education Level ◽  
Community Health Survey ◽  
Lower Education

Objectives: In this study, we investigated the changes in smoking behavior during the COVID-19 outbreak in Korea in 2020. We also examined the influence of general characteristics and mental health problems due to COVID-19 on changes in smoking behavior. Methods: We collected data from August to October 2020 from adults aged 19 years and older from the Korea Community Health Survey (N=229,269). Results: Among current smokers (N=39,534), 11.0% reported an increase in smoking, and 12.8% reported a decrease in smoking. Overall, 33.3% reported perceived stress and 3.7% reported depression. Participants reported COVID-related anxiety about infecting family (83.0%), economic damage (76.3%), blame or harm from others (66.5%), infection (60.6%), and death (31.3%). Lower education level, living alone, and poor subjective health status were associated with increased smoking. Being a woman and being of older age were associated with decreased smoking. Stress, depression, and anxiety about economic damage due to COVID-19 were more likely to result in increased smoking. Anxiety related to death due to COVID-19 was more likely to result in decreased smoking. Conclusion: These findings provide insight into the changes in smoking behavior caused by COVID-19.

scholarly journals PERBEDAAN TUJUAN AUDITOR ATAS TINGKAT OVERCONFIDENCE PERTIMBANGAN AUDITOR (STUDI EKSPERIMENTAL)

2017 ◽  
Vol 17 (2) ◽  
pp. 234
Author(s):  
Nungki Kartikasari ◽  
Bambang Subroto ◽  
Aulia Fuad Rahman
Keyword(s):  
Empirical Finding ◽  
Motivated Reasoning ◽  
Calibration Method ◽  
Repeated Measure ◽  
Business Faculty ◽  
Legal Risks ◽  
Measure Design ◽  
Auditor Judgments ◽  
Cochran Test ◽  
Client Relations

The purpose of this study is to investigate and provide empirical finding about the effect of accuracy, directional and combined goals on overconfidence level in auditors judgments. This study tested the motivated reasoning theory in audit context. Overconfidence level in auditor judgments was measured by calibration method. Calibration method is used by measures the level of accuracy and confidence in auditor judgments in the obsolescence inventory case. This experiment used repeated measure design. The design of this experiment was conducted by given the treatment of accuracy (a condition to avoid the legal risks and sanctions), directional (a condition to emphasizing the importance of good client relations) and combination (a condition to combining get along and accuracy goals) goal to the participants and measuring the overconfidence level in every goal. The hypothesis testing in this study used cochran test. This study used laboratory experiment with participants auditor from join program students of Economics and Business  Faculty,  University  of  Brawijaya. The result of this study shows that auditors judgments are overconfidence in all goals (accuracy, directional and combined). The result of this study was inconsistent  with  motivated reasoning theory.

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