METHODS: The relevant search terms were queried using the Google Trends® in each location and worldwide. The search volume indices were compared between locations and over a time period from January 1, 2004, to January 31, 2019. Correlations between "sunblock" and "sunburn" as well as "sunblock" and search terms relating to skin cancers ("skin cancer," "melanoma," "basal cell carcinoma," and "squamous cell carcinoma") were evaluated.
RESULTS: The favored search term relating to sun protection in this region was "sunblock" despite the term itself being a misnomer. The relative popularity of searches for "sunblock" also showed an increase over time and was generally higher compared with interest in sunburn, skin cancers, and artificial tanning practices. Positive correlations were noted between "sunblock" and "sunburn" in Malaysia and "sunblock" and "melanoma" in Singapore.
CONCLUSION: Insights into search trends may assist public health promotion to raise awareness regarding sun protection and skin cancers in the region by targeting commonly used terms for each geographical location.
METHODS: A case-control study comprising 134 breast cancer patients and 265 cancer-free controls were conducted. Dietary intakes were assessed using a validated food frequency questionnaire (FFQ), from which the HEI-2015 score was calculated. Logistic regression was used to derive the odds ratios (ORs) for measuring the association between HEI-2015 scores and breast cancer risk.
RESULTS: Subjects in the top quartile of HEI-2015 had a 46% lower chance of breast cancer compared with subjects in the bottom quartile (OR 0.54; 95% CI 0.30, 0.98). After adjustment for potential confounders such as age, age at menarche, oral contraceptive drug use, menopausal status, marital status, body mass index, smoking and education level, the association between HEI-2015 score and a lower risk of breast cancer was enhanced (OR 0.32; 95% CI 0.16, 0.65).
CONCLUSION: We successfully demonstrated that a higher HEI-2015 score was associated with a reduced breast cancer risk.
METHODS: A total of 800 cervical scrapings were taken by cytobrush and placed in ThinPrep medium. The samples were dried over infrared transparent matrix. Beams of infrared light were directed at the dried samples at frequency of 4000 to 400 cm(-1). The absorption data were produced using a Spectrum BX II FTIR spectrometer. Data were compared with the reference absorption data of known samples using FTIR spectroscopy software. FTIR spectroscopy was compared with cytology (gold standard).
RESULTS: FTIR spectroscopy could differentiate normal from abnormal cervical cells in the samples examined. The sensitivity was 85%, specificity 91%, positive predictive value 19.5% and negative predictive value of 99.5%.
CONCLUSION: This study suggests that FTIR spectroscopy could be used as an alternative method for screening for cervical cancer.
METHODS: We conducted a cross-sectional study of 2,377 Malaysian women aged 40-74 years. Physical activity information was obtained at screening mammogram and mammographic density was measured from mammograms by the area-based STRATUS method (n = 1,522) and the volumetric Volpara™ (n = 1,200) method. Linear regression analyses were performed to evaluate the association between physical activity and mammographic density, adjusting for potential confounders.
RESULTS: We observed that recent physical activity was associated with area-based mammographic density measures among postmenopausal women, but not premenopausal women. In the fully adjusted model, postmenopausal women with the highest level of recent physical activity had 8.0 cm2 [95% confidence interval: 1.3, 14.3 cm2] lower non-dense area and 3.1% [0.1, 6.3%] higher area-based percent density, compared to women with the lowest level of recent physical activity. Physical activity was not associated to volumetric mammographic density.
CONCLUSIONS: Our findings suggest that the beneficial effects of physical activity on breast cancer risk may not be measurable through mammographic density. Future research is needed to identify appropriate biomarkers to assess the effect of physical activity on breast cancer risk.