A Study on Singapore’s Ageing Population in the Context of Eldercare Initiatives Using Machine Learning Algorithms

Association between sleep quality and quality of life in Singapore

PURPOSE

Several studies have examined the relationship between sleep quality and health-related quality of life (HRQOL). However, there are a lack of generalizable data on this association in Singapore. Our study aimed to (1) investigate the association between sleep quality and HRQOL and (2) examine whether age moderated these associations.

METHODS

Data were obtained from nationwide Singapore Mental Health Study 2016 (n = 6126, response rate = 69.5%). Sleep quality was assessed using Pittsburgh Sleep Quality Index (PSQI) where higher scores indicate poorer sleep quality. HRQOL [Physical component summary (PCS) and Mental component summary (MCS)] were measured using 12-item Short-Form Survey. Associations were investigated using multivariable linear regression models, adjusted for sociodemographic, physical, and mental comorbidities. Interactions between age and sleep quality were examined by including interaction terms individually.

RESULTS

Poorer PSQI score was significantly associated with lower PCS (β = - 0.44) and lower MCS (β = - 0.73). Among PSQI components, lower PCS was significantly associated with subjective sleep quality (β = - 1.06), sleep duration (β = - 0.30), sleep disturbance (β = - 0.33), and daytime dysfunction (β = - 0.75). Lower MCS was significantly associated with subjective sleep quality (β = - 1.36), sleep latency (β = - 0.24), sleep disturbance (β = - 0.16), using of sleeping medication (β = - 1.12), and daytime dysfunction (β = - 2.08). Age moderated the association between PSQI score with PCS and MCS. Stronger association between PSQI score and MCS was observed in younger individuals (β = - 0.90) than older adults (β = - 0.45).

CONCLUSION

Our study found that poor sleep quality was associated with HRQOL of certain age groups more than others. Future studies may identify potential mediators to help people with chronic sleep problems.

Socio-economic and environmental factors associated with community-acquired pressure injuries: A mixed method study

AIMS

To: (1) report on the prevalence of community-acquired pressure injuries (CAPIs) in patients admitted into the acute care setting; (2) examine the socio-economic and home environment associated with CAPIs; and (3) understand the challenges of caring for patients with CAPIs at home.

METHODS

This mixed-method study recruited patients admitted with CAPIs in the acute care hospital between March 2021 to June 2022. The hospital's pressure injury (PI) database was used to screen patients admitted with CAPIs. A purposive sample of CAPI patients and their caregivers participated in this study. A cross-sectional survey study was first performed to examine the prevalence of CAPIs and the socio-economic and home environment factors. Semi-structured interviews were conducted to understand the caregivers' challenges in caring for patients with CAPIs at home.

RESULTS

The CAPI prevalence was reported at 1.1 % during the study period (1039 had CAPIs out of 97 912 patients admitted to the hospital). A total of 70 caregivers and patients consented to participate in the study. The mean age of patients was 84.2 (SD = 10.4) years old; 68.6 % (n = 48) were females. Majority presented with a deep tissue injury (DTI) (37.1 %; n = 26) or unstageable PI (31.4 %; n = 22). More than half of the patients had alternating air mattresses at home (54.3 %; n = 38), and only 10 % (n = 7) had positioning wedges and used a sliding sheet for turning. The mean age of the caregivers was 43.4 years old (SD = 13.1), and 84.3 % (n = 59) were female. Continuous data were summarised using means and standard deviations, and categorical data were summarised using frequencies and percentages. Logistic regression found no significant socio-demographic and clinical predictors of patients having PI stages 2, 3, and 4 compared to patients with DTI and unstageable PI. Challenges to caring for PI at home included high financial burden, physical limitations, and personal challenges in CAPIs management.

CONCLUSION

CAPIs are prevalent among older patients admitted to the acute care setting. Understanding the influence of socio-economic factors is crucial for developing comprehensive strategies to mitigate the occurrence and impact of PIs. Ongoing support and education to the caregivers in the community is essential to address the reported challenges in PI care.

Association between the extension of smoke-free legislation and incident acute myocardial infarctions in Singapore from 2010 to 2019: an interrupted time-series analysis

BACKGROUND

We examined the association between smoke-free laws implemented in the outdoors and the common areas of residential apartment blocks and reported acute myocardial infarctions (AMI) in Singapore.

METHODS

We used an interrupted time-series design and seasonal autoregressive integrated moving average models to examine the effect of the smoke-free law extensions in 2013 (common areas of residential blocks, covered pedestrian linkways, overhead bridges and within 5 m of bus stops), 2016 (parks) and 2017 (educational institutions, buses and taxis) on the monthly incidence rate of AMIs per 1 000 000 population.

RESULTS

We included 133 868 AMI reports from January 2010 to December 2019. Post-2013, there was a decrease in the AMI incidence trend (β=-0.6 per month, 95%CI -1.0 to -0.29) and 2097 (95% CI 2094 to 2100) more AMIs may have occurred without the extension. There was a significant step-decline in male AMIs and a non-significant step-increase in female AMIs post-2013. Those 65 years and older experienced a greater decline to the postlegislation 2013 trend (β=-5.9, 95% CI -8.7 to -3.1) compared with those younger (β=-0.4, 95% CI -0.6 to -0.2), while an estimated 19 591 (15 711 to 23472) additional AMI cases in those 65 years and above may have occurred without the extension. We found a step-increase in monthly AMI incidence post-2016 (β=14.2, 95%CI 3.3 to 25.0).

CONCLUSION

The 2013 smoke-free law extension to residential estates and other outdoor areas were associated with a decline in AMIs and those above the age of 65 years and men appeared to be major beneficiaries. Additional epidemiological evidence is required to support the expanded smoke-free legislation to parks, educational institutions, buses and taxis.