Application of joinpoint regression in determining breast cancer incidence rate change points by age and tumor characteristics in women aged 30-69 (years) and in Isfahan city from 2001 to 2010

Dehkordi, Zahra Fazeli; Tazhibi, Mehdi; Babazade, Shadi

doi:10.4103/2277-9531.145917

Cited by 21 publications

(12 citation statements)

References 30 publications

(49 reference statements)

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“…Reproductive factors play an important role in the development of breast Ca among women who lack access to good family planning in rich and poor countries [10]. …”

Section: Introductionmentioning

confidence: 99%

Reproductive risk factors associated with breast cancer in women in Bangui: a case–control study

et al. 2017

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BackgroundBreast cancer (breast Ca) is recognised as a major public health problem in the world. Data on reproductive factors associated with breast Ca in the Central African Republic (CAR) is very limited. This study aimed to identify reproductive variables as risk factors for breast Ca in CAR women.MethodsA case–control study was conducted among 174 cases of breast Ca confirmed at the Pathology Unit of the National Laboratory in Bangui between 2003 and 2015 and 348 age-matched controls. Data collection tools included a questionnaire, interviews and a review of medical records of patients. Data were analysed using SPSS software version 20. Odd ratios and 95% confidence intervals (CI) for the likelihood of developing breast Ca were obtained using unconditional logistic regression.ResultsIn total, 522 women with a mean age of 45.8 (SD = 13.4) years were enrolled. Women with breast Ca were more likely to have attained little or no education (AOR = 11.23, CI: 4.65–27.14 and AOR = 2.40, CI: 1.15–4.99), to be married (AOR = 2.09, CI: 1.18–3.71), to have had an abortion (AOR = 5.41, CI: 3.47–8.44), and to be nulliparous (AOR = 1.98, CI: 1.12–3.49). Decreased odds of breast Ca were associated with being employed (AOR = 0.32, CI: 0.19–0.56), living in urban areas (AOR = 0.16, CI: 0.07–0.37), late menarche (AOR = 0.18, CI: 0.07–0.44), regular menstrual cycles (AOR = 0.44, CI: 0.23–0.81), term pregnancy (AOR = 0.26, CI: 0.13–0.50) and hormonal contraceptive use (AOR = 0.62, CI: 0.41–0.93).ConclusionBreast Ca risk factors in CAR did not appear to be significantly different from that observed in other populations. This study highlighted the risk factors of breast Ca in women living in Bangui to inform appropriate control measures.

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“…Reproductive factors play an important role in the development of breast Ca among women who lack access to good family planning in rich and poor countries [10]. …”

Section: Introductionmentioning

confidence: 99%

Reproductive risk factors associated with breast cancer in women in Bangui: a case–control study

et al. 2017

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“…Joinpoint regression tests whether a multi-segmented line is a significant better fit than a straight or less-segmented line on the basis of permutation tests 17 while other regression methods investigates trends to find the best-fit line through years of data 18 . The application of Joinpoint method helps to find meaningful turning point of trend and avoids artificially dividing of the long study period 19 .…”

Section: Discussionmentioning

confidence: 99%

Non-communicable diseases are key to further narrow gender gap in life expectancy in Shanghai, China

Chen

Zhou

Sun

et al. 2020

Preprint

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Background To address change in gender gap of life expectancy (GGLE) in Shanghai from 1973 to 2018, and to identify the major causes of death and age groups associated with the change overtime. Methods Retrospective demographic analysis with application of Joinpoint regression to evaluate the temporal trend in GGLE and using life table technique and decomposition method to express changes in GGLE. Results Trend of GGLE in Shanghai experienced two phases ie., a decrease from 8.4 to 4.2 years in the descent phase (1973-1999) and a fluctuation between 4.0 and 4.9 years in the plateau phase (1999-2018). The reduced age-specific mortality rates tended to concentrate to a narrower age range, from age 0-9 and above 30 years in the descent phase to age above 55 years in the plateau phase. Gastroesophageal and liver cancer, communicable, chronic respiratory and digestive diseases were once the major contributors to narrow GGLE in the descent phase. While importance should be attached to a widening effect on GGLE by lung cancer, cardiovascular diseases, other neoplasms like colorectal and pancreatic cancer and diabetes in recent plateau phase. Conclusions Non-communicable diseases (NCDs) have made GGLE enter a plateau phase from a descent phase in Shanghai China. Public efforts to reduce excess mortalities for male NCDs, cancers, cardiovascular diseases, chronic respiratory diseases and diabetes in particular and health policies focused on the middle-aged and elderly population might further narrow GGLE and ensure improvement in health and health equity in Shanghai China.

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“…Joinpoint regression tests whether a multi-segmented line is a significant better fit than a straight or less-segmented line on the basis of permutation tests 19 while other regression methods investigates trends to find the best-fit line through years of data 20 . The application of Joinpoint method helps to find meaningful turning point of trend and avoids artificially dividing of the long study period 21 .…”

Section: Discussionmentioning

confidence: 99%

Non-communicable diseases are key to further narrow gender gap in life expectancy in Shanghai, China

Chen

Zhou

Sun

et al. 2020

Preprint

View full text Add to dashboard Cite

Background: To address change in gender gap of life expectancy (GGLE) in Shanghai from 1973 to 2018, and to identify the major causes of death and age groups associated with the change overtime.Methods: Retrospective demographic analysis with application of Joinpoint regression to evaluate the temporal trend in GGLE. Causes of death were coded in accordance with International Classification of Diseases and mapped with the Global Burden of Disease (GBD) cause list. Life table technique and decomposition method was used to express changes in GGLE.Results: Trend of GGLE in Shanghai experienced two phases ie., a decrease from 8.4 to 4.2 years in the descent phase (1973-1999) and a fluctuation between 4.0 and 4.9 years in the plateau phase (1999-2018). The reduced age-specific mortality rates tended to concentrate to a narrower age range, from age 0-9 and above 30 years in the descent phase to age above 55 years in the plateau phase. Gastroesophageal and liver cancer, communicable, chronic respiratory and digestive diseases were once the major contributors to narrow GGLE in the descent phase. While importance should be attached to a widening effect on GGLE by lung cancer, cardiovascular diseases, other neoplasms like colorectal and pancreatic cancer and diabetes in recent plateau phase.Conclusions: Non-communicable diseases (NCDs) have made GGLE enter a plateau phase from a descent phase in Shanghai China. Public efforts to reduce excess mortalities for male NCDs, cancers, cardiovascular diseases, chronic respiratory diseases and diabetes in particular and health policies focused on the middle-aged and elderly population might further narrow GGLE and ensure improvement in health and health equity in Shanghai China.

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Application of joinpoint regression in determining breast cancer incidence rate change points by age and tumor characteristics in women aged 30-69 (years) and in Isfahan city from 2001 to 2010

Cited by 21 publications

References 30 publications

Reproductive risk factors associated with breast cancer in women in Bangui: a case–control study

Reproductive risk factors associated with breast cancer in women in Bangui: a case–control study

Non-communicable diseases are key to further narrow gender gap in life expectancy in Shanghai, China

Non-communicable diseases are key to further narrow gender gap in life expectancy in Shanghai, China

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