The Effects of SES, Social Support, and Resilience on Older Adults' Well-being during COVID-19: Evidence from Singapore

The COVID-19 pandemic has rendered visible many socioeconomic inequalities and the lengthy period of disruption to everyday life had disproportionate effects on the most vulnerable groups in Singapore and across the world. Utilizing data from the Singapore Life Panel ® (SLP) collected in September 2021, this study examined a sample of 6,667 older adults to assess the effects of socioeconomic status (SES) on well-being, and the mechanisms through which social support and resilience may mediate its influence. Overall, our results suggest significant direct and indirect effects of SES on well-being and provide evidence for the pivotal role that social support plays in building resilience and well-being. Affluent socioeconomic backgrounds do not intrinsically build resilience;instead, it is through the access to social resources, which SES affords and facilitates, that resilience is developed, and well-being is safeguarded. We argue that Singapore's policy response to COVID-19 has yet to fully leverage on social resources and develop a social infrastructure that can buffer the negative impacts of prolonged crises on the most vulnerable groups.

Information trust and COVID-19 vaccine hesitancy amongst middle-aged and older adults in Singapore: A latent class analysis Approach.

RATIONALE: COVID-19 vaccine hesitancy presents significant challenges for public health. OBJECTIVE: Vaccine hesitancy among middle-aged and older adults has been a significant barrier in Singapore's battle against COVID-19. We hypothesize that the trust middle-aged and older adults place in various sources of information influences vaccine hesitancy, and that distinct typologies of trust can be identified to better inform targeted health communication efforts. METHOD: Data from a nationally representative panel survey of Singaporeans aged 56-75 (N = 6094) was utilized. Modules fielded in August and November 2020, and June 2021 were analyzed, assessing social networks, trust in sources of information, and vaccination status respectively. Predictors of vaccination status were first examined. Latent class analysis was then used to identify typologies of trust in various sources of information. RESULTS: Trust in formal sources of information (e.g government sources) is found to predict vaccination status among respondents. Contrary to expectations, trust in social media and informal sources (family and friends), and perceived social support did not predict vaccination status. Latent class analysis identified 4 typologies of respondents based on their patterns of trust in these sources. Significantly, it is found that a portion of respondents with low trust in formal sources of information have high trust in informal sources. The four distinct typologies of trust in sources of information are also found to predict vaccination status. CONCLUSIONS: Because trust in formal sources of information influences vaccination status, authorities should build trust in such sources to encourage vaccination against COVID-19. However, health communication strategies with middle-aged and older adults who have low levels of trust in the formal sources may be more effective if authorities leveraged alternative channels such as informal sources, including the social networks of such individuals. Overall, the findings suggest the need for targeted communication strategies to encourage vaccination.

The Associations between Poor Antibiotic and Antimicrobial Resistance Knowledge and Inappropriate Antibiotic Use in the General Population Are Modified by Age.

OBJECTIVES: Understanding factors influencing inappropriate antibiotic use can guide the design of interventions to improve antibiotic practices and reduce antimicrobial resistance (AMR). METHODS: A nationally representative cross-sectional survey (N = 2004) was conducted between November 2020 and January 2021. Knowledge of antibiotic use and AMR using the World Health Organization's Multi-Country AMR Survey questionnaire, and antibiotic practices were examined. Multivariable logistic regression was performed to identify factors associated with inappropriate antibiotic use and examine effect measure modifications. RESULTS: After adjusting for potential confounding, poor knowledge of antibiotic use was associated with a 3x increased odds of inappropriate antibiotic use in adults aged ≥50 years (aOR 3.11, 95% CI [2.24-4.32]), 5× increased odds in those aged 35-49 years (aOR 4.88, 95% CI [3.32-7.16]), and 7× increased odds in those aged 21-34 years (aOR 6.58, 95% CI [4.19-10.33]). While there was no statistically significant association in adults aged ≥50 years, poor knowledge of AMR increased the odds of inappropriate antibiotic use by 4 times in adults aged 35-49 years (aOR 3.73, 95% CI [1.53-9.11]) and 5 times in those aged 21-34 years (aOR 4.90, 95% CI [1.84-13.02]). CONCLUSIONS: Targeted educational interventions for specific age groups are needed in conjunction with empowering the public with knowledge of antibiotic use and AMR.