Changes in cardiovascular disease risk predicted by the Framingham risk model in the Hong Kong population between 2003-2005 and 2014-2015: data from Population Health Surveys.

INTRODUCTION: The Framingham risk model estimates a person's 10-year cardiovascular disease (CVD) risk. This study used this model to calculate the changes in sex- and age-specific CVD risks in the Hong Kong Population Health Survey (PHS) 2014/15 compared with two previous surveys conducted during 2003 and 2005, namely, PHS 2003/2004 and Heart Health Survey (HHS) 2004/2005. METHODS: This study included individuals aged 30 to 74 years from PHS 2014/15 (n=1662; n=4 445 868 after population weighting) and PHS 2003/2004 and HHS 2004/2005 (n=818; n=3 495 074 after population weighting) with complete data for calculating the risk of CVD predicted by the Framingham model. Sex-specific CVD risks were calculated based on age, total cholesterol and high-density lipoprotein cholesterol levels, mean systolic blood pressure, smoking habit, diabetic status, and hypertension treatment. Mean sex- and age-specific CVD risks were calculated; differences in CVD risk between the two surveys were compared by independent t tests. RESULTS: The difference in 10-year CVD risk from 2003-2005 to 2014-2015 was not statistically significant (10.2% vs 10.6%; P=0.29). After age standardisation according to World Health Organization world standard population data, a small decrease in CVD risk was observed, from 9.4% in 2003-2005 to 8.8% in 2014-2015. Analysis according to age-group showed that more participants aged 65 to 74 years were considered high risk in 2003 to 2005 (2003-2005: 66.8% vs 2014-2015: 53.1%; P=0.028). This difference may be due to the decrease in smokers among men (2003-2005: 30.5% vs 2014-2015: 24.0%; P<0.001). CONCLUSION: From 2003-2005 to 2014-2015, there was a small decrease in age-standardised 10-year CVD risk. A holistic public health approach simultaneously targeting multiple risk factors is needed to achieve greater decreases in CVD risk.

Decline in Cancer Diagnoses during the 'Zero COVID' Policy in Hong Kong: Indirect Spillover Impact of the COVID-19 Pandemic.

AIMS: Despite a largely successful 'zero COVID' policy in 2020, the COVID-19 pandemic disrupted routine cancer services in the city of Hong Kong. The aims of this study were to examine the trends in cancer incidence before and during the COVID-19 pandemic and estimate missed cancer diagnoses. MATERIALS AND METHODS: We used population-based data from the Hong Kong Cancer Registry 1983-2020 to examine the trends of age- and sex-standardised cancer incidence before and during the COVID-19 pandemic. We applied: (i) the annual average percentage change (AAPC) calculated using the Joinpoint regression model and (ii) the autoregressive integrated moving average (ARIMA) model to forecast cancer incidence rates in 2020. Missed cancer diagnoses in 2020 were estimated by comparing forecasted incidence rates to reported rates. A subgroup analysis was conducted by sex, age and cancer site. RESULTS: The cancer incidence in Hong Kong declined by 4.4% from 2019 to 2020 (male 8.1%; female 1.1%) compared with the long-term AAPC of 0.5% from 2005 to 2019 (95% confidence interval 0.3, 0.7). The gap between the reported and forecasted incidence for 2020 ranged from 5.1 to 5.7% (male 8.5%, 9.8%; female 2.3%, 3.5%). We estimated 1525-1596 missed cancer diagnoses (ARIMA estimate -98, 3148; AAPC 514, 1729) in 2020. Most missed diagnoses were in males (ARIMA 1361 [327, 2394]; AAPC 1401 [1353, 1460]), with an estimated 479-557 missed cases of colorectal cancer (ARIMA 112, 837; AAPC 518, 597) and 256-352 missed cases of prostate cancer (AAPC 231, 280; ARIMA 110, 594). CONCLUSION: The incidence of new cancer diagnoses declined in 2020 contrary to the long-term increase over the previous decades. Significantly lower diagnoses than expected were observed in males, particularly for colorectal and prostate cancers. Fewer reported cancer cases indicate missed diagnoses and could lead to delayed treatment that could impact future health outcomes.