OBJECTIVE: This study aimed to assess the relationship between the body composition of children aged 3-5 years and breastfeeding status and duration. METHODS: The study was conducted using data from the National Nutrition and Health Systematic Survey for children 0-17 years of age in China (CNHSC), a nationwide cross-sectional study. Breastfeeding information and potential confounders were collected using standardized questionnaires administered through face-to-face interviews. The body composition of preschool children was measured using bioelectrical impedance analysis. A multivariate linear regression model was used to assess the relationship between breastfeeding duration and body composition after adjusting for potential confounders. RESULTS: In total, 2,008 participants were included in the study. Of these, 89.2% were ever breastfed and the median duration of breastfeeding was 12 months (IQR 7-15 months). Among children aged 3 years, the height-for-age Z-score (HAZ) for the ever breastfed group was lower than that for never breastfed group (0.12 vs. 0.42, P = 0.043). In addition, the weight-for-age Z-score (WAZ) of the ever breastfed group was lower than that of the never breastfed group (0.31 vs. 0.65, P = 0.026), and the WAZ was lower in children aged 4 years who breastfed between 12 and 23 months than in those who never breastfed. Compared to the formula-fed children, the fat-free mass of breastfed infants was higher for children aged 3 years (12.84 kg vs. 12.52 kg, P = 0.015) and lower for those aged 4 years (14.31 kg vs. 14.64 kg, P = 0.048), but no difference was detected for children aged 5 years (16.40 kg vs. 16.42 kg, P = 0.910) after adjusting for potential confounders. No significant difference was detected in the weight-for-height Z-score (WHZ), body mass index (BMI)-for-age Z-score (BAZ), fat-free mass index, and body fat indicators in the ever breastfed and never breastfed groups and among various breastfeeding duration groups for children aged 3-5 years. CONCLUSION No obvious associations were detected between breastfeeding duration, BMI, and fat mass indicators. Future prospective studies should explore the relationship between breastfeeding status and fat-free mass.
Infant ; Female ; Child, Preschool ; Humans ; Infant, Newborn ; Child ; Adolescent ; Breast Feeding ; Prospective Studies ; Cross-Sectional Studies ; Body Mass Index ; Body Composition

INTRODUCTION: Breast cancer is a leading cause of cancer death among women, and its age-standardised incidence rate is one of the highest in Asia. We aimed to review studies on barriers to breast cancer screening to inform future policies in Singapore. METHOD: This was a literature review of both quantitative and qualitative studies published between 2012 and 2020 using PubMed, Google Scholar and Cochrane databases, which analysed the perceptions and behaviours of women towards breast cancer screening in Singapore. RESULTS: Through a thematic analysis based on the Health Belief Model, significant themes associated with low breast cancer screening uptake in Singapore were identified. The themes are: (1) high perceived barriers versus benefits, including fear of the breast cancer screening procedure and its possible outcomes, (2) personal challenges that impede screening attendance and paying for screening and treatment, and (3) low perceived susceptibility to breast cancer. CONCLUSION Perceived costs/barriers vs benefits of screening appear to be the most common barriers to breast cancer screening in Singapore. Based on the barriers identified, increasing convenience to get screened, reducing mammogram and treatment costs, and improving engagement with support groups are recommended to improve the screening uptake rate in Singapore.
Breast Neoplasms/epidemiology* ; Early Detection of Cancer ; Female ; Health Knowledge, Attitudes, Practice ; Humans ; Mammography ; Mass Screening ; Singapore/epidemiology*

Breast Neoplasms/diagnosis* ; China/epidemiology* ; Early Detection of Cancer ; Female ; Humans ; Mass Screening

breast cancers. However, the sensitivity of mammographic screening is lower for dense breasts, which are an independent risk factor for breast cancers. Automated breast ultrasound (ABUS) is used as an adjunct to mammography for screening breast cancers in asymptomatic women with dense breasts. It is an effective screening modality with diagnostic accuracy comparable to that of handheld ultrasound (HHUS). Radiologists should be familiar with the unique display mode, imaging features, and artifacts in ABUS, which differ from those in HHUS. The purpose of this study was to provide a comprehensive review of the clinical significance of dense breasts and ABUS screening, describe the unique features of ABUS, and introduce the method of use and interpretation of ABUS.]]>
Artifacts ; Breast Neoplasms ; Breast ; Early Detection of Cancer ; Female ; Humans ; Mammography ; Mass Screening ; Methods ; Risk Factors ; Ultrasonography

PURPOSE: Digital mammography (DM) has replaced screen-film mammography (SFM). However, findings of comparisons between the performance indicators of DM and SFM for breast-cancer screening have been inconsistent. Moreover, the summarized results from studies comparing the performance of screening mammography according to device type vary over time. Therefore, this study aimed to compare the performance of DM and SFM using recently published data. METHODS: The MEDLINE, Embase, and Cochrane Library databases were searched for paired studies, cohorts, and randomized controlled trials published through 2018 that compared the performance of DM and SFM. All studies comparing the diagnostic accuracy of DM and SFM in asymptomatic, average-risk women aged 40 years and older were included. Two reviewers independently assessed the study quality and extracted the data. RESULTS: Thirteen studies were included in the meta-analysis. The pooled sensitivity (DM, 0.76 [95% confidence interval {CI}, 0.70–0.81]; SFM, 0.76 [95% CI, 0.70–0.81]), specificity (DM, 0.96 [95% CI, 0.94–0.97]; SFM, 0.97 [95% CI, 0.94–0.98]), and area under the receiver-operating characteristic curve (DM, 0.94 [95% CI, 0.92–0.96]; SFM, 0.92 [95% CI, 0.89–0.94]) were similar for both DM and SFM. The pooled screening performance indicators reinforced superior accuracy of full-field DM, which is a more advanced type of mammography, than SFM. The advantage of DM appeared greater among women aged 50 years or older. There was high heterogeneity among studies in the pooled sensitivity, specificity, and overall diagnostic accuracy estimates. Stratifying by study design (prospective or retrospective) and removing studies with a 2-year or greater follow-up period resulted in homogeneous overall diagnostic accuracy estimates. CONCLUSION: The breast-cancer screening performance of DM is similar to that of SFM. The diagnostic performance of DM depends on the study design, and, in terms of performance, full-field DM is superior to SFM, unlike computed radiography systems.
Breast Neoplasms ; Cohort Studies ; Early Detection of Cancer ; Female ; Follow-Up Studies ; Humans ; Mammography ; Mass Screening ; Population Characteristics ; Radiography ; Sensitivity and Specificity

PURPOSE: Interleukin-1 beta (IL-1β), a pro-inflammatory cytokine, has been shown to influence breast cancer susceptibility. The relationship between its risk of breast cancer and IL-1β-C31T polymorphism has been demonstrated, but the results remain controversial. Therefore, our study aimed to investigate the correlation between the IL-1β-C31T gene polymorphism and susceptibility to breast cancer. METHODS: The genotype frequencies of IL-1β-C31T polymorphism were compared between 204 breast cancer cases and 210 controls using polymerase chain reaction and restriction fragment length polymorphism techinques. Further multivariate binary logistic regression analyses were used to assess the association between IL-1β-C31T polymorphism and breast cancer risk. RESULTS: The frequency of the T allele of IL-1β-C31T polymorphism in breast cancer cases was significantly higher than that in the controls (56.1% vs. 47.9%). The frequencies of genotypes CC, CT, and TT in the cases were 22.1%, 43.6%, and 34.3%, respectively, while in the control group they were 24.3%, 55.7%, and 20.0%, respectively. There was a significant difference between the prevalence of TT genotype in the 2 groups (adjusted odds ratio [OR], 2.06; 95% confidence interval [CI], 1.16–3.66; p  =  0.014). Breast cancer risk increased in women with TT genotype, body mass index (BMI) ≥ 25 kg/m2 (OR, 2.19; 95% CI, 1.09–4.36), late age at first birth (OR, 2.43; 95% CI, 1.29–4.56), postmenopausal status (OR, 3.15; 95% CI, 1.39–7.16), and negative smoking history (OR, 2.52; 95% CI, 1.32–4.82). Furthermore, increase in breast cancer risk among women diagnosed with invasive ductal carcinoma was associated with CT/TT genotypes (OR, 2.82; 95% CI, 1.38–5.76). CONCLUSION: The IL-1β-C31T polymorphism affects breast cancer susceptibility, especially in women with late age at first birth, high BMI, postmenopausal status, negative smoking history, and invasive ductal carcinoma. Our study adds to the evidence about the importance of IL-1β-C31T polymorphism in breast cancer susceptibility.
Alleles ; Birth Order ; Body Mass Index ; Breast Neoplasms ; Breast ; Carcinoma, Ductal ; Female ; Genetic Predisposition to Disease ; Genotype ; Humans ; Interleukin-1beta ; Logistic Models ; Odds Ratio ; Polymerase Chain Reaction ; Polymorphism, Genetic ; Polymorphism, Restriction Fragment Length ; Prevalence ; Smoke ; Smoking

PURPOSE: The role of the host immunologic environment is crucial in cancer progression. Recent studies revealed that neutrophil-lymphocyte ratio (NLR) and platelet-lymphocyte ratio (PLR), are possible surrogate markers of outcome in various cancers. In breast cancer, the therapeutic effect of neoadjuvant chemotherapy (NAC) differs in patients, and higher response rate reflects better outcomes. This study aimed to determine the predictive value of peripheral blood NLR and PLR for NAC response along with their prognostic role in breast cancer. METHOD: A total of 105 patients with breast cancer treated with NAC between 2009 and 2017 were analyzed retrospectively. NAC response and prognosis (disease-free-survival [DFS], progression-free-survival [PFS] and overall survival [OS]) according to NLR and PLR were evaluated. According to the optimal cut-off values for NAC response obtained from receiver operating characteristic (ROC) curves, patients satisfying both low NLR and PLR levels (low-ratio group) were compared to those who did not (high-ratio group). RESULTS: The NLR cut-off value was ≤ 2.21 (area under the ROC curve [AUC], 0.617; 95% confidence interval [CI], 0.517–0.710; p=0.030) with 94.1% sensitivity and 38.0% specificity. The PLR cut-off value was ≤ 143.36 (AUC, 0.618; 95% CI, 0.518–0.711; p = 0.040) with 85.3% sensitivity and 39.4% specificity. The low-ratio group demonstrated a better NAC response (p = 0.006) in multivariate analysis than the high-ratio group. The low-ratio group showed better DFS and PFS (p = 0.046 and p = 0.040, respectively) and longer OS (p = 0.078) in univariate survival analysis than the high-ratio group. In multivariate analysis, the low-ratio group had significantly better PFS (p = 0.049) and higher DFS (p = 0.054) than the high-ratio group. CONCLUSIONS: The combination of NLR and PLR showed improved prediction of NAC response, revealing their potential as screening tools, significant prognostic role in breast cancer patients who receive NAC. Further studies with subgroup analysis, larger population and longer follow up duration are required.
Biomarkers ; Blood Cell Count ; Breast Neoplasms ; Breast ; Drug Therapy ; Follow-Up Studies ; Humans ; Mass Screening ; Methods ; Multivariate Analysis ; Prognosis ; Retrospective Studies ; ROC Curve ; Sensitivity and Specificity

PURPOSE: This study was aimed at identifying the influence of initial weight and weight change during neoadjuvant chemotherapy (NAC) on pathologic complete response (pCR) and long-term survival in Chinese patients with operable breast cancer. METHODS: We conducted a retrospective study using data from 409 female patients who received NAC for stage II or III breast cancer and had complete record of body mass index (BMI) before and after NAC. BMI of < 25 kg/m² was categorized as normal weight/underweight (NW/UW); 25.0–29.9 kg/m² was categorized as overweight (OW); ≥30 kg/m² was categorized as obese (OB). BMI change was defined as the difference in BMI between day 1 of the first cycle of NAC and the day before surgery. A BMI gain or loss of > 2 kg/m² following NAC was considered to be significant, else was considered stable. The study end points included pCR rates, disease-free survival (DFS), and overall survival (OS). RESULTS: The median follow-up time was 43.2 (8.9–93.6) months. The average BMI was 23.40 ± 3.04 kg/m² before NAC and 23.66 ± 3.02 kg/m² after NAC (t = −3.604, p < 0.001). The pCR rate was 25.3% in the NW/UW group and 24.1% in the OW/OB group (p = 0.811), and was similar between the BMI-gain (23.3%) and the BMI-stable/loss (25.1%) groups (p = 0.787). Initial BMI was an independent prognostic factor for DFS (hazard ratio, 1.69; 95% confidence interval [CI], 1.13–2.53; p = 0.011) but not for OS, while BMI-gain was an independent prognostic factor for both DFS (hazard ratio, 2.09; 95% CI, 1.28–3.42; p = 0.003) and OS (hazard ratio, 1.97; 95% CI, 1.04–3.74; p = 0.039). CONCLUSION: BMI increased after NAC in Chinese breast cancer patients. Initial BMI and BMI change during NAC were not associated with pCR but were reversely associated with survival.
Asian Continental Ancestry Group ; Body Mass Index ; Breast Neoplasms ; Breast ; Disease-Free Survival ; Drug Therapy ; Female ; Follow-Up Studies ; Humans ; Neoadjuvant Therapy ; Overweight ; Polymerase Chain Reaction ; Retrospective Studies ; Weight Gain

BACKGROUND: Cancer is one of the leading causes of morbidity and mortality worldwide. Yet, limited is known about patterns of cancer and risk factors for advanced stage cancers in Ethiopia. METHODS: A cross-sectional study was conducted on 919 patients with biopsy-confirmed cancers at Tikur Anbessa Hospital in Ethiopia, 2010 to 2014. Pearson chi-square test, t-test, analysis of variance and multivariate logistic regression analyses were performed. RESULTS: The majority of the patients were females (72.4%). The commonest malignancies among males were bone and soft tissue (16.5%), colorectal (12.2%), and esophageal (9.1%). Among females, the most common cancers were cervical (39.7%), breast (18.3%), and ovarian (7.1%); of these, 41.7%, 59.0%, and 42.6% were diagnosed at advanced stages, respectively. Females had more advanced stage cancers at diagnosis than males (37.6% vs. 24.8%, P < 0.01). Among males, 46.7% of prostate and 29.0% of colorectal cancers were in advanced stages at the time of diagnosis. Delay in presentation from onset of symptoms was associated with advanced cancer among females (OR = 3.21; 95% CI = 1.69–6.10). Prostate cancer among males (OR = 5.22; 95% CI = 1.26–21.60) and breast cancer among females (OR = 1.93; 95% CI = 1.23–3.03) were more likely to be diagnosed at advanced stages. CONCLUSIONS: Cancers with effective screening tests are common in Ethiopia and significant proportions of these were diagnosed at advanced stages, typically several months after onset of symptoms. Timely access to preventive care along with effective educational and screening strategies is needed in Ethiopia for early detection and treatment of common malignancies, such as cervical, breast and colorectal cancers.
Breast ; Breast Neoplasms ; Colorectal Neoplasms ; Cross-Sectional Studies ; Diagnosis ; Ethiopia ; Female ; Humans ; Logistic Models ; Male ; Mass Screening ; Mortality ; Neoplasm Staging ; Prostate ; Prostatic Neoplasms ; Risk Factors

BACKGROUND: Several studies have suggested that breastfeeding has a positive effect on long-term obesity, diabetes, hypertension, and hyperlipidemia. This study aimed to examine maternal bone health, muscle mass, and obesity based on breastfeeding duration. METHODS: This study was based on the Korea National Health and Nutrition Examination Survey 2010–2011. We selected 2,027 elderly women by screening survey participants with a history of delivery. Multivariate logistic regression analyses were performed to estimate the odds ratios (ORs) of sarcopenia, osteoporosis, and obesity among four breastfeeding groups. RESULTS: The OR of sarcopenia significantly decreased with increasing breastfeeding duration (OR, 0.27; 95% confidence interval [CI], 0.11–0.65; P for trend <0.001), whereas the OR of obesity significantly increased with increasing breastfeeding duration (OR, 2.56; 95% CI, 1.43–4.60; P for trend=0.009) after adjusting for potential confounding variables. We also found a positive correlation between the duration since last delivery and sarcopenia. CONCLUSION: Our results suggest a negative correlation between prolonged breastfeeding and the prevalence of sarcopenia, and a positive correlation between prolonged breastfeeding and the prevalence of obesity. Further studies are needed to clarify the relationship between breastfeeding and sarcopenia in the future.
Aged ; Breast Feeding ; Confounding Factors (Epidemiology) ; Cross-Sectional Studies ; Female ; Humans ; Hyperlipidemias ; Hypertension ; Korea ; Logistic Models ; Mass Screening ; Nutrition Surveys ; Obesity ; Odds Ratio ; Osteoporosis ; Prevalence ; Sarcopenia