Factors influencing parents' hesitancy to vaccinate their children aged 5-11 years old against COVID-19: results from a cross-sectional study in Malaysia.

Introduction: Vaccination programs have been rolled out across the globe to contain and mitigate the spread of the COVID-19 infection. Until recently, such programs were limited to adults and the older population, thereby limiting children from getting vaccinated. Recently, the Malaysian government rolled out vaccination for children aged 5-11 years. However, there are certain factors that might affect vaccination uptake among children. This study explores factors influencing parents' hesitancy to vaccinate children in Malaysia. Method: A nationwide online cross-sectional convenience sampling survey from April 21, 2022 to June 3, 2022 was conducted. The study used descriptive statistics to inform about vaccine hesitancy among parents. Cross-tabulation was performed to calculate the frequency and percentage of vaccine hesitancy, quality of life, e-health literacy, and the 5C psychological antecedents of vaccination among parents with children 5-11 years in Malaysia. Graphical methods were used to portray the levels of e-health literacy and levels of 5C psychological antecedents of vaccination. The study used both bi-variate and multivariate analysis to understand the relationship between vaccine hesitancy and the socio-demo-economic factors, quality of life, e-health literacy and 5C psychological antecedents. Results: Of 382 participants, almost one-third (33%) of participants reported vaccine hesitancy for their children. For 5C's psychological antecedents of vaccination, around one quarter (26.96%) reported disagreement for confidence in vaccination, almost half (52.36%) reported disagreement for vaccination complacency, three-fifths (60.99%) reported vaccination constraint, one quarter (25.92%) reported calculation antecedent, and almost one-third reported disagreement over collective responsibility antecedent (25.92%). Chi-square test revealed that gender, employment status, and parents' COVID-19 vaccination status were significantly associated (p<0.05) with vaccine hesitancy among parents. Assessing the influence of transactional e-health literacy, only the communication component contained a significant association (p<0.05). Among the 5C psychological antecedents, confidence, calculation, and collective responsibility were significantly associated (p<0.05) with vaccine hesitancy. Parents with secondary [OR: 8.80; CI: 2.44-31.79, (p<0.05)], post-secondary [OR: 5.21; CI: 2.10-13.41, (p<0.05)], and tertiary education [OR: 6.77; CI: 2.25-20.35, (p<0.05)] had significantly higher likelihood of vaccine hesitancy than those with primary education. Conclusion: Highly educated parents are more skeptical and are more likely to perceive the vaccine as unsafe and ineffective for their children. It is critical to disseminate the required information about the vaccine safety to the educated group.

Early marriage and marital satisfaction among young married men in rural Uttar Pradesh, India.

OBJECTIVE: Lack of reliable and valid scales of Indian origin prompt researchers to borrow the marital satisfaction scale developed in different settings. The lack of a reliable scale to understand marital satisfaction in India prompted us to examine the marital satisfaction among young married men using ENRICH Marital Satisfaction (EMS) Scale developed in the Western context. Assessing the reliability of the EMS scale on the rural population of Lalitpur and Shrawasti, Uttar Pradesh, India; this study examines the determinants of marital satisfaction among young married men. RESULTS: Cronbach's alpha coefficient of 0.936 confirms the high reliability of the EMS scale for the surveyed population in two districts of India. Men belonging to households with higher monthly income (OR- 3.33; 95% C.I. - 1.71-6.50) were more likely to be satisfied in their marriage than their counterparts. Similarly, fathers', mothers', and married men's educational status were other important determinants of marital satisfaction. The study emphasizes the importance of family education as a strong predictor of marital satisfaction, and therefore policymakers may look into this aspect.

Exposure to Pornographic Content Among Indian Adolescents and Young Adults and Its Associated Risks: Evidence from UDAYA Survey in Bihar and Uttar Pradesh.

Adolescence is period characterized by sexual development, increasing romantic relationships, and the initiation of sexual activity. To enhance the exploration of their sexuality, adolescents may look into sexual resources such as pornography. There has been little research in India to understand how much adolescents are exposed to Internet pornography and what are the associated risk factors. This study examined the level of exposure to pornography among adolescents and the associated factors which determine the exposure to pornography in Uttar Pradesh and Bihar. Understanding the Lives of Adolescents and Young Adults (UDAYA) survey data collected in 2015-2016 was used for this study. The study was based on 3885 adolescent boys and 7766 adolescent girls aged 15-19 years. The mean age for adolescent boys was 16.66 years (SD: 1.3), and for girls it was 16.67 years (SD: 1.3). About 47% of adolescent boys but only 6% of girls were exposed to pornography. The likelihood of exposure to pornography was 1.69 times and 2.27 times more likely among adolescents and girls who had their own personal mobile phones, respectively, compared to those who did not have their own personal mobile phones. The odds of exposure to pornography were significantly higher among adolescent boys who had frequent media exposure than those who had no/rare exposure. Programs on life skills and comprehensive sexuality education need to be prioritize.

Urban-rural and gender differential in depressive symptoms among elderly in India.

Background: To date, evidence remained inconclusive explaining rural-urban and male-female differential in depression. Unlike other previous research on the association of several risk factors with depressive symptoms among the elderly, this study focussed on the socio-economic status-related inequality in the prevalence of depression among the elderly along with focussing urban-rural and male-female gradients of depression among the elderly. Methods: This study used data from Longitudinal Ageing Study in India (LASI) Wave-I, 2017-18, survey. The outcome variable for this study was self-reported depression. Bivariate analysis was used to understand the prevalence by sociodemographic clusters. Fairlie decomposition analysis has been done to measures rural-urban inequalities for depression among older men and women. Results: Results found that around 22 percent of urban elderly and 17 percent of rural elderly reported depression. A higher proportion of female elderly (22.6% vs. 18.4%) reported depression than male elderly. Almost one in every five elderly (20.6%) reported depression in India. The results found that a higher percentage of women in rural and urban areas reported depression than their male counterparts. While examining SES-related inequality in the prevalence of depression, education was a significant factor explaining the SES-related inequality in the prevalence of depression among female elderly and not in male elderly. Conclusion: Given the large proportion of elderly reporting depression, this study highlights the need for improving health care services among the elderly. The increasing burden of depression in specific sub-populations also highlights the importance of understanding the broader consequences of depression among rural and female elderly.

Burnout, resilience and the quality of life among Malaysian healthcare workers during the COVID-19 pandemic.

Background: Healthcare workers have to deal with highly demanding work situations, making healthcare as one of the most challenging professions. Up to now, far too little attention has been paid to burnout, resilience and the quality of life among Malaysian healthcare workers. Therefore, this paper explores the correlation between burnout, resilience and quality of life among Malaysian healthcare workers during the COVID-19 pandemic. Method: A total of 394 healthcare workers reported their responses on Maslach Burnout Inventory questionnaire, World Health Organization Quality of Life (WHOQOL)-BREF, and Brief Resilience Scale. Respondents were contacted through convenience sampling method and targeted population constituted Malaysian healthcare workers aged 18 years and above. Results: For occupational exhaustion, about 50.5% of participants have moderate degree, 40.6% have high degree, and 8.9% have low degree of burnout. Health workers from age 25 to 35 years have lower physical health compared to health workers aged <25 years (coefficient = -0.77, p = 0.021). Similarly, healthcare workers who were working more than 10 h every day were more likely to report poor psychological health (coefficient = -2.49, p = 0.06). Positive correlation between physical and psychological health was observed. Further, a negative correlation was found between occupational exhaustion and the quality of life. Conclusion: It is important to target physical as well as psychological wellbeing of the healthcare workers. Also, it is important to understand the contribution of long working hours in declining the quality of life of the healthcare workers. Thus, allocating fixed working hours for healthcare workers would bring a much-required change.

Hearing and vision difficulty and sequential treatment among older adults in India.

Aging not only affect biomarker-related processes, but it also affects the physiological processes of the human body. Of all the physiological processes, hearing and vision are of utmost importance to a human. Therefore, this study examines the prevalence and factors associated with hearing and vision difficulty and their sequential treatment among older adults in India. Utilizing data from Building a Knowledge Base on Population Aging in India, study used two sets of outcome variables; firstly, self-reported hearing and vision difficulty and secondly, treatment-seeking for hearing and vision difficulty. A total of 9541 older adults aged 60+ years from seven major regionally representative states were selected. Descriptive statistics were used to perform preliminary analysis. Additionally, the study employed the Heckprobit selection model. It is a two-equation model. This model is used in order to accommodate the heterogeneity (i.e., shared unobserved factors) among older adults and then address the endogeneity (between hearing and vision loss problems and their treatment-seeking behaviour) for older adults in India, the model offers a two-step analysis and deals with the zero-sample issue. Around 59% and 21% of older adults reported vision and hearing difficulty, respectively. Only 5% of older adults suffering from hearing difficulty reported utilizing hearing aids. Lifestyle factors (smoking tobacco and chewing tobacco) significantly affect hearing and vision difficulty; various chronic diseases were also found to be associated with high levels of hearing and vision difficulty among older adults. Results from Heckprobit model shows that older adults with 11+ years of education had higher probability to use visual [ß = 0.54, 95% confidence interval (CI): 0.37, 0.70] and hearing aids [ß = 0.6, 95% CI: 0.18, 1.02]. The use of hearing and vision aids was lower among poor older adults, older adults from Scheduled Caste, and older adults in rural areas. The study indicates that more than half of older adults face vision difficulty and almost one-fourth face hearing difficulty in rural India, education and lifestyle appear to be the main driver of health-seeking behaviour. Additional attention shall be given to understand the strategies that may advocate a higher use for hearing aids among older adults.

Burden of communicable and non-communicable diseases-related inequalities among older adults in India: a study based on LASI survey.

BACKGROUND: A rising proportion of elderly in India has infused notable challenges to the healthcare system, which is already underdeveloped. On one side, NCDs are increasing among the elderly in India; however, on the other side, CDs are also a cause of concern among the elderly in India. While controlling the outbreak of communicable diseases (CDs) remained a priority, non-communicable diseases (NCDs) are placing an unavoidable burden on the health and social security system. India, a developing nation in South Asia, has seen an unprecedented economic growth in the past few years; however, it struggled to fight the burden of communicable and non-communicable diseases. Therefore, this study aimed at examining the burden of CDs and NCDs among elderly in India. METHODS: Data from Longitudinal Ageing Study in India (LASI Wave-I, 2017-18) were drawn to conduct this study. The LASI is a large-scale nationwide scientific study of the health, economics, and social determinants and implications of India's aged population. The LASI is a nationally representative survey of 72,250 aged 45 and over from all Indian states and union territories. Response variables were the occurrence of CDs and NCDs. The bi-variate and binary logistic regression were used to predict the association between communicable and non-communicable diseases by various socio-demographic and health parameters. Furthermore, to understand the inequalities of communicable and non-communicable diseases in urban and rural areas, the Fairlie decomposition technique was used to predict the contribution toward rural-urban inequalities in CDs and NCDs. RESULTS: Prevalence of communicable diseases was higher among uneducated elderly than those with higher education (31.9% vs. 17.3%); however, the prevalence of non-communicable diseases was higher among those with higher education (67.4% vs. 47.1%) than uneducated elderly. The odds of NCDs were higher among female elderly (OR = 1.13; C.I. = 1-1.27) than their male counterparts. Similarly, the odds of CDs were lower among urban elderly (OR = 0.70; C.I. = 0.62-0.81) than rural elderly, and odds of NCDs were higher among urban elderly (OR = 1.85; C.I. = 1.62-2.10) than their rural counterparts. Results found that education (50%) contributes nearly half of the rural-urban inequality in the prevalence of CDs among the elderly. Education status and current working status were the two significant predictors of widening rural-urban inequality in the prevalence of NCDs among the elderly. CONCLUSION: The burden of both CD and NCD among the elderly population requires immediate intervention. The needs of men and women and urban and rural elderly must be addressed through appropriate efforts. In a developing country like India, preventive measures, rather than curative measures of communicable diseases, will be cost-effective and helpful. Further, focusing on educational interventions among older adults might bring some required changes.

Adapted digital health literacy and health information seeking behavior among lower income groups in Malaysia during the COVID-19 pandemic.

Background: Misinformation has had a negative impact upon the global COVID-19 vaccination program. High-income and middle-income earners typically have better access to technology and health facilities than those in lower-income groups. This creates a rich-poor divide in Digital Health Literacy (DHL), where low-income earners have low DHL resulting in higher COVID-19 vaccine hesitancy. Therefore, this cross-sectional study was undertaken to assess the impact of health information seeking behavior on digital health literacy related to COVID-19 among low-income earners in Selangor, Malaysia. Methods: A quantitative cross-sectional study was conducted conveniently among 381 individuals from the low-income group in Selangor, Malaysia. The remote data collection (RDC) method was used to gather data. Validated interviewer-rated questionnaires were used to collect data via phone call. Respondents included in the study were 18 years and older. A normality of numerical variables were assessed using Shapiro-Wilk test. Univariate analysis of all variables was performed, and results were presented as means, mean ranks, frequencies, and percentages. Mann-Whitney U test or Kruskal Wallis H test was applied for the comparison of DHL and health information seeking behavior with characteristics of the participants. Multivariate linear regression models were applied using DHL as dependent variable and health information seeking behavior as independent factors, adjusting for age, gender, marital status, educational status, employment status, and household income. Results: The mean age of the study participants was 38.16 ± 14.40 years ranging from 18 to 84 years. The vast majority (94.6%) of participants stated that information seeking regarding COVID-19 was easy or very easy. Around 7 percent of the respondents cited reading information about COVID-19 on the internet as very difficult. The higher mean rank of DHL search, content, reliability, relevance, and privacy was found among participants who were widowed, had primary education, or unemployed. An inverse relationship was found between overall DHL and confidence in the accuracy of the information on the internet regarding COVID-19 (ß = -2.01, 95% CI = -2.22 to -1.79). Conclusion: It is important to provide support to lower-income demographics to assist access to high-quality health information, including less educated, unemployed, and widowed populations. This can improve overall DHL.

Digital health literacy for COVID-19 vaccination and intention to be immunized: A cross sectional multi-country study among the general adult population.

Introduction: It is clear that medical science has advanced much in the past few decades with the development of vaccines and this is even true for the novel coronavirus outbreak. By late 2020, COVID-19 vaccines were starting to be approved by national and global regulators, and across 2021, there was a global rollout of several vaccines. Despite rolling out vaccination programs successfully, there has been a cause of concern regarding uptake of vaccine due to vaccine hesitancy. In tackling the vaccine hesitancy and improving the overall vaccination rates, digital health literacy (DHL) could play a major role. Therefore, the aim of this study is to assess the digital health literacy and its relevance to the COVID-19 vaccination. Methods: An internet-based cross-sectional survey was conducted from April to August 2021 using convenience sampling among people from different countries. Participants were asked about their level of intention to the COVID-19 vaccine. Participants completed the Digital Health Literacy Instrument (DHLI), which was adapted in the context of the COVID Health Literacy Network. Cross-tabulation and logistic regression were used for analysis purpose. Results: Overall, the mean DHL score was 35.1 (SD = 6.9, Range = 12-48). The mean DHL score for those who answered "Yes" for "support for national vaccination schedule" was 36.1 (SD 6.7) compared to 32.5 (SD 6.8) for those who either answered "No" or "Don't know". Factors including country, place of residence, education, employment, and income were associated with the intention for vaccination. Odds of vaccine intention were higher in urban respondents (OR-1.46; C.I.-1.30-1.64) than in rural respondents. Further, higher competency in assessing the relevance of online information resulted in significantly higher intention for vaccine uptake. Conclusion: Priority should be given to improving DHL and vaccination awareness programs targeting rural areas, lower education level, lower income, and unemployed groups.

Correction: Gender differential in low psychological health and low subjective well-being among older adults in India: With special focus on childless older adults.

[This corrects the article DOI: 10.1371/journal.pone.0247943.].

Prevalence and predictors of anaemia among adolescents in Bihar and Uttar Pradesh, India.

In adolescents, anaemia has been linked to affecting physical disorders, growth, and mental retardation and also increases reproductive morbidities among adolescent girls during their womanhood. It is believed that with increasing age, females are more prone to anaemia than their male counterparts. Unfortunately, the anaemia intervention program, such as the National Nutrition Anaemia Prophylaxis Programme, primarily targets infants, young children, pregnant and lactation women, and not adolescents. Therefore, this study tries to fill this gap and study the prevalence of anaemia and the associated factors among adolescent boys and girls residing in Uttar Pradesh and Bihar, India. Secondary data analysis was performed on cross-sectional survey data from the Understanding the Lives of Adolescents and Young Adults survey. The sample size was 20,594 adolescents aged 10-19 years in Uttar Pradesh and Bihar, India. The outcome variable was anaemia, and the explanatory variables were age, education, working status, media exposure, marital status, received IFA and deworming tablets, BMI status, stunting status, wealth index, caste, religion, residence, and States. Descriptive statistics and bivariate analysis were used to find the preliminary results. Multinomial regression analysis was carried out to provide the adjusted estimates. Overall, anaemia was more prevalent among adolescent girls than adolescent boys (20% vs. 8.7%). Moderate/severe anaemia was 0.24 and 0.49 times less likely among adolescent boys and girls, respectively, who had 10 and above years of schooling than adolescents with no schooling (p < 0.01). Rural adolescent boys were 1.49 times (p < 0.05) more likely to suffer from moderate/severe anaemia than urban counterparts. The odds for moderate/severe anaemia among adolescent boys were relatively higher among late adolescents, with no mass-media exposure, stunted, and rural adolescents. Similarly, odds for moderate/severe anaemia among adolescent girls were higher among late adolescents and adolescents without schooling and mass-media exposure. Prevalence of anaemia was higher among adolescent girls than in boys. Lower education status, rural residence, late adolescence, no exposure to mass media, and stunting were the predictors of moderate/severe anaemia among adolescents. Anaemia among adolescents must be addressed through effective public health policy targeting adolescents residing in rural areas. There is a need to disseminate information about anaemia-related programs, such as National Iron Plus Initiative (NIPI), through mass media, and subsequently, the public health system may be prepared to tailor the needs of adolescent boys and girls.

What causes loneliness among household heads: a study based in primary setting in Mumbai, India.

BACKGROUND: With the pace of urbanization, symptoms of loneliness emerge as one of the most devastating mental illnesses among city dwellers in the modern age. The present study has tried to identify the potential factors and correlates which affect loneliness vulnerability. METHODS: The data for this study were collected from three different areas of Mumbai (i.e., Dadar, Bandra, and Chembur).This study was conducted through a cross-sectional household survey of household heads in the five different housing typologies/ localities between January and June 2016.A total of 450 household data were collected using the quota sampling method. Loneliness was the main dependent variable. The bivariate analysis was used to see the percentage of loneliness among respondents. Bivariate analysis for categorical data was carried out using the chi-square (χ2) test. Logistic regression analysis was performed to explore the correlates of loneliness among household heads. The probability of significance was set at 5%. RESULTS: It was found that around 7 percent of respondents often feel lonely, and 21 percent of respondents sometimes feel lonely in the last seven days preceding the survey date. Household heads with two or more chronic diseases had higher odds (OR = 4.87, CI = 1.52-15.57) of loneliness than household heads without any chronic disease. The odds of loneliness were almost 3 times higher (OR = 3.05; CI = 1.11-8.38) among females as compared to males. Household heads living alone (single) had higher odds (OR = 19.99; CI = 4.14-96.59) to suffer from loneliness than those living in a joint family. CONCLUSION: Finding reveals that level of loneliness symptomatology in urban dwellers may be attributed significantly by individual (i.e., morbidity status and sex of respondent), social (i.e., personal relation) and residing locality characteristics. Community psychological intervention along with enhanced civic engagement can reduce level of loneliness in existing slum rehabilitees.

Prevalence and determinants of nutritional status among women and children in Pakistan.

BACKGROUND: Nutrition has been a low-priority area in Pakistan, with low visibility from the political leadership. Despite various efforts, Pakistan has been reported to have one of the highest prevalences of child and women malnutrition compared to other developing counties. Therefore, this study intends to examine the prevalence and determinants of nutritional status of women and children in Pakistan. METHODS: The present study uses the Demographic Health Survey (DHS) data from Pakistan 2012-13 (PDHS-3). The nutritional status of women was examined through Body-Mass Index (Underweight, normal, overweight, & obese), and that of children was examined through stunting (severe and moderate), wasting (severe, moderate, overweight), and underweight (severe, moderate, overweight). Descriptive statistics and bivariate analysis have been used along with multinomial logistic regression. RESULTS: A higher proportion of children in rural areas were severely stunted (19.6% vs. 12.5%), severe wasted (2.4% vs. 2.2%), and severe underweight (9.4% vs. 6%) than their urban counterparts. A higher proportion of rural women (9.5% vs. 5.5%) were underweight than urban women, whereas a higher proportion of urban women were obese (24.3% vs. 19.0%) than rural women. The odds of severe stunting (OR = 0.24; C.I. = 0.15-0.37), severe underweight (OR = 0.11; C.I. = 0.05-0.22) were lower among children from the richest wealth quintile than their poorest counterparts. The Relative Risk Ratio (RRR) of being overweight (RRR = 3.7; C.I. = 2.47-5.54) and Obese (RRR = 4.35; C.I. = 2.67-7.07) than normal BMI were higher among women from richest wealth quintile than women belonged to poorest wealth quintile. CONCLUSION: This study has highlighted determinants associated with maternal and child nutritional status, whereby the child's nutritional status was measured by stunting, wasting, and underweight, and BMI measured the mother's nutritional status. The main risk factors for a child's poor nutritional status include low household wealth, urban residence, and mother's educational status. Similarly, the main risk factors for women's poor nutritional status include increasing the women's age, educational status, rural residence, and household wealth. Poor households should be provided special attention to improve the nutritional status among women and children in poor households.

Prevalence, factors and inequalities in chronic disease multimorbidity among older adults in India: analysis of cross-sectional data from the nationally representative Longitudinal Aging Study in India (LASI).

OBJECTIVE: This study examines the prevalence, patterns and factors of chronic disease-related multimorbidity. Also, this study examines the inequality in the prevalence of multimorbidity among older adults in India. DESIGN: Cross-sectional study; large nationally representative survey data. SETTING AND PARTICIPANTS: We have used the first wave of a Longitudinal Ageing Study in India conducted in 2017-2018 across all the 35 states (excluded Sikkim) and union territories in India. This study used information from 31 373 older people aged 60+years in India. PRIMARY AND SECONDARY OUTCOME MEASURES: The outcome variable for this study is multimorbidity. The study used multinomial logistic regression to examine the risk factors for multimorbidity among older adults. To measure the inequality in multimorbidity, the slope of index inequality and relative index of inequality have been used to understand the ranked-based inequality. RESULTS: Almost one-fourth (24.1%) reported multimorbidity. The relative risk ratio (RRR) of multimorbidity (RRR=2.12; 95% CI=1.49 to 3.04) was higher among higher educated older adults than uneducated older adults. Furthermore, the RRR of multimorbidity (RRR=2.35; 95% CI=2.02 to 2.74) was higher among urban older adults than their rural counterparts. Older adults in the richest wealth quintile were more likely to report multimorbidities (RRR=2.86; 95% CI=2.29 to 3.55) than the poorest older adults. Good self-rated health and no activities of daily living disability were associated with a lower risk of multimorbidities. CONCLUSIONS: This study contributes to the comprehensive knowledge of the prevalence, factors and inequality of the chronic disease-related multimorbidity among older adults in India. Considering India's ageing population and high prevalence of multimorbidity, the older adults must be preferred in disease prevention and health programmes, however, without compromising other subpopulations in the country. There is a need to develop geriatric healthcare services in India. Additionally, there is a need to disseminate awareness and management of multimorbidity among urban and highly educated older adults.

Quality of Life of the Elderly during the COVID-19 Pandemic in Asian Countries: A Cross-Sectional Study across Six Countries.

Background: Few studies have explored the determinants of health-related quality of life (HRQoL) in the elderly during the COVID-19 pandemic. Identifying these factors may help implement appropriate policies to enhance HRQoL in the elderly. Therefore, we aimed to identify the predictors of physical and mental component summary (PCS and MCS) scores of HRQoL in selected six low- and middle-income Asian countries. Methods: We conducted an online survey of older people aged ≥55 years in six countries: Bangladesh, Iran, Iraq, Malaysia, Palestine, and Sri Lanka. The Stark QoL questionnaire was used to measure the PCS and MCS scores. Univariate and multiple variable analyses after adjusting for confounders were performed to identify the possible predictors of PCS and MCS. Results: A total of 1644 older people (69.1 ± 7.8 years, range 55−97 years, Female: 50.9%) responded to the survey. We documented age, country of residence, marital status, number of male children, current employment status, and health insurance, ability to pay household bills, frequency of family members visits and receiving support during COVID-19 pandemic predicted both PCS and MCS. However, gender, residence, and number of female children were associated with PCS only (all p < 0.05). Conclusion: Socio-demographic factors such as age, country of residence, marital status, number of male children, current employment status, health insurance, ability to pay household bills, frequency of family members visiting family members, and receiving support during the COVID-19 pandemic affecting both physical and mental quality of life. These results can guide formulating health care planning policies to enhance QoL during COVID-19 and future pandemics in the elderly.

Decomposing urban-rural differences in multimorbidity among older adults in India: a study based on LASI data.

BACKGROUND: Multimorbidity is defined as the co-occurrence of two or more than two diseases in the same person. With rising longevity, multimorbidity has become a prominent concern among the older population. Evidence from both developed and developing countries shows that older people are at much higher risk of multimorbidity; however, urban-rural differential remained scarce. Therefore, this study examines urban-rural differential in multimorbidity among older adults by decomposing the risk factors of multimorbidity and identifying the covariates that contributed to the change in multimorbidity. METHODS: The study utilized information from 31,464 older adults (rural-20,725 and urban-10,739) aged 60 years and above from the recent release cross-sectional data of the Longitudinal Ageing Study in India (LASI). Descriptive, bivariate, and multivariate decomposition analysis techniques were used. RESULTS: Overall, significant urban-rural differences were found in the prevalence of multimorbidity among older adults (difference: 16.3; p < 0.001). The multivariate decomposition analysis revealed that about 51% of the overall differences (urban-rural) in the prevalence of multimorbidity among older adults was due to compositional characteristics (endowments). In contrast, the remaining 49% was due to the difference in the effect of characteristics (Coefficient). Moreover, obese/overweight and high-risk waist circumference were found to narrow the difference in the prevalence of multimorbidity among older adults between urban and rural areas by 8% and 9.1%, respectively. Work status and education were found to reduce the urban-rural gap in the prevalence of multimorbidity among older adults by 8% and 6%, respectively. CONCLUSIONS: There is a need to substantially increase the public sector investment in healthcare to address the multimorbidity among older adults, more so in urban areas, without compromising the needs of older adults in rural areas.

Prevalence and determinants of activity of daily living and instrumental activity of daily living among elderly in India.

BACKGROUND: The increase in life expectancy has proliferated the number of elderly and subsequently increased the prevalence of disability among the elderly. This study assesses the prevalence of Activity of Daily Living (ADL) and Instrumental Activity of Daily Living (IADL) and analyzes determinants of ADL and IADL among elderly aged 60 and over living in India. METHODS: The study utilized the Longitudinal Ageing Study in India (LASI, 2017-18) data, and information was sought from 31,464 elderly aged 60 years and above. An index of ADL and IADL was created on a scale of three levels, exhibiting no, moderate, or severe levels of ADL/IADL disability. Multinomial logistic regression was used to determine the effect of socio-demographic parameters on ADL and IADL disability among the elderly. RESULTS: Around 3% of the elderly reported severe ADL disability, and 6% elderly reported severe IADL disability. Elderly who were not involved in any physical activity than their counterparts were more likely to report severe ADL (RRR = 2.68, C.I. = 1.66-4.32) and severe IADL (RRR = 2.70, C.I. = 1.98-3.67) than no ADL and no IADL, respectively. CONCLUSION: Amidst the study finding, the study emphasizes the importance of setting-up of geriatric care centers in rural and urban areas. It would be feasible to provide geriatric care under the umbrella of already functioning government health facilities in different parts of the country. Community interventions earmarking the elderly with a focus on physical activity, specifically based in group physical exercise and implemented through existing networks, are rewarding for the elderly.

Demographic and work-related factors associated with burnout, resilience, and quality of life among healthcare workers during the COVID-19 pandemic: A cross sectional study from Malaysia.

Introduction: The healthcare setting is a stressful and demanding work environment, and healthcare workers face a continuous expansion of their job roles and responsibilities. Past studies have shown that factors affecting burnout, resilience, and quality of life among healthcare workers merit further research, as there were inconsistent findings, especially with regards to the influence of demographic and work-related factors. Therefore, this study aims to determine whether demographic and work-related factors are associated with burnout, resilience, and quality of life among healthcare workers. Method: This cross-sectional study was conducted between February 15, 2022 and March 15, 2022, among 394 healthcare workers from Putrajaya and Selangor hospitals, Malaysia. Maslach Burnout Inventory, World Health Organization Quality of Life-BREF 26 inventory, and Brief Resilience Scale were utilized to capture information on burnout, quality of life, and resilience, respectively. Results: The mean score of physical health of participants who work more than 10 h (11.38) is lower than participants who work from 8 to 10 h (13.00) and participants who work 7 h daily (13.03), p-value < 0.001. Similarly, the mean score of psychological health of participants who work more than 10 h (12.35) is lower than participants who work from 8 to 10 h (13.72) and participants who work 7 h daily (13.68), p-value = 0.001. Higher income levels were associated with high resilience and quality of life. Conclusion: It is imperative that healthcare practitioners and policy makers adopt and implement interventions to promote a healthy workplace environment, address ethical concerns, and prevent burnout among healthcare workers during the COVID-19 pandemic. Managing the issue of long working hours could possibly result in improved resilience, burnout, and quality of life among healthcare workers. Despite this study able to tickle out some policy specific areas where interventions are needed, identifying effective solutions and evaluating their efficiency will require larger and interventional studies.

Exploring association between food insecurity and depression among older adults in India.

Background: Depression is a significant health concern that is yet to be recognised as an important public health challenge in India. Furthermore, given the critical condition of food insecurity among older people in India, it is likely that they are more vulnerable to depression. The interplay of depression among older people resulting from food insecurity is an under-explored phenomenon in the Indian context. Therefore, this study examines the association between food insecurity and depression among older people in India. Methods: The study used data from the Longitudinal Ageing Study in India (LASI). Food insecurity was measured with a set of questions formed into dichotomous variable and depression was measured with Center for Epidemiological Studies Depression (CES-D scale). Binary logistic regression was performed to confirm the findings. Results: Results showed that older adults who reported food insecurity were more likely to be depressed (OR= 1.20; C.I.=1.03-1.25) than their younger counterparts. Furthermore, older adults who were independent for Activity of Daily Living (ADL) were less likely (OR= 0.73; C.I.=0.53-1.00) to report depression, whereas, female (OR= 1.12; C.I.=1.00-1.26) and never married (OR= 2.11; C.I.=1.18-3.79) older adults were more likely to be depressed than their respective counterparts. Conclusion: It is important to integrate mental health with food insecurity. Future studies may consider including mental health services with food assistance programs or vice versa.

Self-care, Household Cleaning and Disinfection During COVID-19 Pandemic: A Study from Metropolitan Cities of India.

Hygiene has been noticed as one of the most effective procedures against COVID-19 cross-transmission, especially hand hygiene and covering the face with the mask. Therefore, this study tried to peek into the people movements and seeks to understand how people are handling their daily use items like fruits and vegetables, how people are managing unavoidable grooming services, how people are disinfecting themselves after coming from outside, and what all hygienic practices they are following during this pandemic. Furthermore, this study attempts to explore ways through which people are disinfecting their houses. At last, the study seeks to explore the knowledge/information people have about Coronavirus. The study collected primary data through a self-administered questionnaire. A quota sampling technique was used to collect the data. Bivariate analysis was carried out to reach the study findings. Based on the findings, it is the need of the hour to disseminate the information on the use of unhealthy disinfectants as they lack the knowledge about the safe use of various types of cleaners and disinfectants. It is also reiterated that there is an urgency to promote further information on risk factors of Coronavirus among people and compulsion to promote healthy hand hygiene and sanitation practices. There is a need to promote information through mass media and other modes of awareness, such as artwork and announcements.