Explore the vast range of titles available.

The self-rated health (SRH) is a widely adopted indicator of overall health. The sponge hypothesis suggests that predictive power of SRH is stronger among women compared to men. To gain a better understanding of how gender influences SRH, this study examined whether and what determinants of gender disparity exist current self-rated health (SRHcurrent) and change in SRH (SRHchange) among older adults in Indian setting. We used cross-sectional data from the 75th National Sample Survey Organizations (NSSO), collected from July 2017 to June 2018. The analytical sample constitutes 42,759 older individuals aged 60 years or older with 21,902 older men and 20,857 older women (eliminating two non-binary individuals). Outcome measures include two variables of poor/worse SRH status (SRHcurrent and SRHchange). We have calculated absolute gaps in the prevalence of poor SRHcurrent and worse SRHchange by background characteristics. We carried out binary logistic regression models to examine the predictors of poor SRHcurrent and worse SRHchange among older adults. The overall absolute gender gap in poor SRHcurrent was 3.27% and it was 0.58% in worse SRHchange. Older women had significantly higher odds of poor SRHcurrent [AOR = 1.09; CI = 0.99, 1.19] and worse SRHchange [AOR = 1.09; CI = 1.02, 1.16] compared to older men. Older adults belonging to middle-aged, oldest-old, economically dependent, not working, physically immobile, suffering from chronic diseases, belonging to Muslim religion, and Eastern region have found to have higher odds of poor SRHcurrent and worse SRHchange. Educational attainments showed lower odds of have poor SRHcurrent and worse SRHchange compared to those with no education. Respondents belonging to richest income quintile and those who were not covered by any health insurance, belonging to Schedule caste, OBC, Western and Southern regions are found to have lower odds of poor SRHcurrent and worse SRHchange. Compared to those in the urban residence, respondents from rural residence [AOR = 1.09; CI = 1.02, 1.16] had higher odds of worse SRHchange. Supporting the sponge hypothesis, a clear gender gap was observed in poor current SRH and worse change in SRH among older adults in India with a female disadvantage. We further found lower socioeconomic and health conditions and lack of resources as determinants of poor current SRH and its worse change, which is crucial to address the challenge of the older people's health and their perception of well-being.

This study aimed to examine the prevalence of heart diseases and angina pectoris and associated factors among middle-aged and older Indian adults. Additionally, the study examined the prevalence and associated factors of undiagnosed and uncontrolled heart disease among middle-aged and older adults based on self-reported chronic heart disease (CHD) and symptom-based angina pectoris (AP). We used cross-sectional data from the first wave of the Longitudinal Ageing Study of India, 2017-18. The sample consists of 59,854 individuals (27, 769 males and 32,085 females) aged 45 years and above. Maximum likelihood binary logistic regression models were employed to examine the associations between morbidities, other covariates (demographic factors, socio-economic factors and behavioral factors) and heart disease and angina. A proportion of 4.16% older males and 3.55% older females reported the diagnosis of heart diseases. A proportion of 4.69% older males and 7.02% older females had symptom-based angina. The odds of having heart disease were higher among those who were hypertensive and who had family history of heart disease, and it was higher among those whose cholesterol levels were higher. Individuals with hypertension, diabetes, high cholesterol and family history of heart disease were more likely to have angina than their healthy counterparts. The odds of undiagnosed heart disease were lower but the odds of uncontrolled heart disease were higher among those who were hypertensive than non-hypertensive individuals. Those having diabetes were less likely to have undiagnosed heart disease while among the diabetic people the odds of uncontrolled heart disease were higher. Similarly, higher odds were observed among people with high cholesterol, having stroke and also among those who had a history of heart disease than their counterparts. The present study provided a comparative prevalence of heart disease and agina and their associations with chronic diseases among middle-aged and older adults in India. The higher prevalence of undiagnosed and uncontrolled heart disease and their risk factors among middle-aged and older Indians manisfest alarming public health concerns and future health demand.

Background Health at older ages is a key public health challenge especially among the developing countries. Older adults are at greater risk of vulnerability due to their physical and functional health risks. With rapidly rising ageing population and increasing burden of non-communicable diseases older adults in India are at a greater risk for multimorbidities. Therefore, to understand this multimorbidity transition and its determinants we used a sample of older Indian adults to examine multimorbidity and its associated risk factors among the Indian older-adults aged 45 and above. Methods Using the sample of 72,250 older adults, this study employed the multiple regression analysis to study the risk factors of multimorbidity. Multimorbidity was computed based on the assumption of older-adults having one or more than one disease risks. Results Our results confirm the emerging diseases burden among the older adults in India. One of the significant findings of the study was the contrasting prevalence of multimorbidity among the wealthiest groups (AOR = 1.932; 95% CI = 1.824- 2.032). Similarly women were more likely to have a multimorbidity (AOR = 1.34; 95% CI = 1.282—1.401) as compared to men among the older adults in India. Conclusion Our results confirm an immediate need for proper policy measures and health system strengthening to ensure the better health of older adults in India.

Background There is a limited understanding of the age at onset of chronic diseases linked to an increased risk of physical frailty among older persons, despite the well-established link between chronic diseases and frailty. This study aimed to examine the prevalence of early- and late-onset chronic diseases and their association with physical frailty and its components in older adults in India. Methods Data from the Longitudinal Aging Study in India (LASI), wave 1 (2017–2018), were used with a sample of 31,386 older adults aged 60 years and above, including 15,043 males and 16,343 females. Physical frailty was assessed by using an adapted version of the frailty phenotype developed by Fried et al.. The main explanatory variable was self-reported age at the onset of chronic diseases, and a cutoff of 50 years was considered to define the early and late onset of chronic disease. Multivariable logistic regression models were used to examine the association between early and late onset of chronic diseases and physical frailty and its components. Results Overall, 30.65% of the sample population was physically frail, and frailty was much higher in the 80 years and aboveage group (54.23%). Compared to individuals without any morbidity, those with late onset of single morbidity (AOR: 1.22, CI: 1.09–1.36) and multimorbidity (AOR: 1.49, CI: 1.29–1.71) had higher odds of physical frailty. Similarly, multimorbidity was significantly associated with most components of physical frailty, with the exception of weight loss. Older adults with late-onset hypertension (AOR: 1.22, CI: 1.09–1.36), stroke (AOR: 1.75, CI: 1.35–2.27), and heart disease (AOR: 1.58, CI: 1.21–2.06) had higher odds of physical frailty than those without any morbidity. The odds of being physically frail were higher in those with early onset arthritis (AOR: 1.55, CI: 1.15–2.08) and late-onset of arthritis (AOR: 1.35, CI: 1.13–1.61) than in those without any morbidity. Additionally, the odds of physical frailty were higher among those with late-onset chronic diseases, particularly heart disease (AOR: 3.39, CI: 1.31–8.77) and psychiatric disease (AOR: 3.00, CI: 1.19–7.61), compared to individuals with early onset of these conditions. Conclusions This study found significant positive associations between early and late onset chronic diseases and physical frailty and its components among older Indians. These findings underscore the importance of managing late-onset chronic diseases, especially heart diseases and psychiatric conditions, to mitigate frailty in older adults. These findings also emphasize the critical role of age at onset of specific chronic conditions and multimorbidity in the development of frailty, suggesting that targeted disease-specific interventions could help delay or prevent frailty.

Armed conflicts result in greater vulnerability and socioeconomic inequality of populations besides risking their health and well-being. Conflict intensifies the health needs and risks the life and well-being of individuals at large through displacement. Therefore, our study aims to apprise the interventions to which children under-five living in Jordan are especially at risk for acute respiratory infections, diarrhea, and fever in the conflict circumstances. Secondary data analysis is used in the present study. We used a weighted sample of around 9650 children from Jordan Population and Family Health Survey (JPFHS), 2017-18. Bivariate analysis including prevalence rates were used to examine the distribution of socio-demographic characteristics of children. The study has also used multinomial logistic regression model, in order to evaluate the variations in the probability of nationality of under-five children living in Jordan. \"Syrian nationalist\" children have a higher relative risk of ARI (RRR = 1.19, [1.08, 1.32]), and \"Other-nationalist\" children have two times greater risk of ARI compared to \"Jordanian children.\" The relative risk of diarrhea is lower among \"Syrian nationalist\" and \"Other-nationalist\" children compared to \"Jordanian children.\" Children belong \"Other-nationalist\" are found to be less relative risk of fever (RRR = 0.9, [0.80, 1.01]) than \"Jordanian children.\" Our study concludes that conflict-driven displacement has an immediate effect on child health through access, availability, and affordability of health care services, resulting in more significant health care risks. However, sufficient investment is required to address such adversities that affect the health care system due to uneven demand as experienced by the Jordanian health care system. Thus, collaborative efforts through global partners can play a significant role in the countries facing the challenges of managing these health care emergencies.

Purpose There is limited evidence on the determinants of hospitalisation and its causes in India. This study aims to examine the differential in the hospitalisation rates and its socioeconomic determinants. This study also examines the causes of diseases in hospitalisation among the elderly (≥60 years) in India. Design/methodology/approach This study used data from the 75th round of the National Sample Survey Organizations, collected from July 2017 to June 2018. The elderly samples in this survey are 42,759, where 11,070 were hospitalised, and 31,689 were not hospitalised in the past year or 365 days. This study estimated hospitalisation rates and carried out binary logistic regression analysis to examine the associations of hospitalisation with the background variables. The cause of diseases in hospitalisations was also calculated. Findings The hospitalisation rate was lower among elderly female compared to elderly male. Elderly who belongs to middle-old aged groups, non-married, North-Eastern region, Southern region, general caste, health insurance, partially and fully economically dependent have a higher chance of being hospitalised. About 38% elderly were hospitalised due to communicable diseases (CDs), 52% due to non-communicable diseases (NCDs) and 10% due to injuries and others (IO). Nearly 40% elderly were hospitalised in public hospitals due to CDs, whereas 52% were hospitalised in private hospitals due to NCDs and 11% due to IO. Research limitations/implications Firstly, this study is based on cross-sectional survey due to which temporal ambiguity averted to draw causal inferences. Secondly, other significant factors can also predict hospitalisations and provide insightful results, such as lifestyle factors, behavioral factors, obesity, mental state and several personal habits such as smoking cigarettes, drinking alcohol, consuming tobacco or other harmful substances. But this information was not available in this study. Even with these limitations, the hospitalisation issues among the elderly are beneficial to understand the current circumstances of CDs, NCDs and injury and other diseases for India and its states to formulate health policy. Practical implications Early screening and early treatment for NCDs are needed, which are non-existent in almost all parts of India. It is essential to necessitate and identify the important factors that best predict hospitalisation or re-visit of hospital admission. Although, the medical advances in India have made rapid strides in the past few decades, it is burdened none the less, as the doctor–patient ratio is very low. It is important to develop preventive measures to minimize the accidents and causalities to avoid substantial cost associated with elderly health care. Social implications Raising awareness, promotion of healthy life style and improving the quality of good health-care provisions at primary level is a necessity. Originality/value The findings, practical and social implications provide a way forward for the health policymakers to potentially alter the future research to reduce associated comorbidities, unnecessary hospitalisations and other medical complications.

Abstract Context: India has observed the most devastating increases in the burden of diabetes in the contemporary era. However, so far, the comparable prevalence of diabetes is only available for limited geography. Aims: The present paper provides comparable estimates of diabetes prevalence in states and districts of India and examines the associated risk factors with newly diagnosed and self-reported diabetes. Setting and Design: The study uses clinical, anthropometric, and biochemical data from District Level Household and Facility Survey (2012–2013) and Annual Health Survey (2014). Subjects and Methods: The paper analyses the information on glucose level of the blood sample and defines diabetes as per the World Health Organization (1999) criteria. It applies multinomial logistic regression to identify the risk factors of diabetes. Results: The study estimates 7% adults with diabetes in India, with a higher level in urban (9.8%) than in the rural area (5.7%), a higher proportion of males (7.1%) than females (6.8%). Widowed, older persons, and persons with high blood pressure have very high risk of both diagnosed and self-reported diabetes. Comparing to Hindus, Muslims and Christians have higher, and Sikhs have less risk of diabetes. Further, corresponding to general caste, scheduled castes, and other backward classes have a high risk of newly diagnosed but the lower risk of self-reported diabetes. Conclusions: The list of districts and states with alarming diabetes prevalence is the valuable information for further programs and research. A significant population with undiagnosed diabetes reflects an urgent need to strengthen the diagnostics at the local level and for those who need them most.

PurposeAlcohol and tobacco consumption are significant public health concerns and considered some of the riskiest behaviors among students. Despite strong indications of heavy consumption of these substances, certain sections of the student population remain unexplored regarding their consumption patterns and associated factors, including research scholars pursuing Doctor of Philosophy degrees. This study aims to explore the patterns and correlations of consumption of alcohol and tobacco among doctoral students in three Indian universities.Design/methodology/approachA cross-sectional study was conducted on a total of 530 scholars from three central universities, Aligarh Muslim University, Banaras Hindu University and Jawahar Lal Nehru University, and focused on two substances (alcohol and tobacco) frequently used by students in India. Bi-variate analysis and penalized logistic regressions were applied to analyse the prevalence and associated factors of alcohol, smoking and smokeless tobacco among doctoral students.FindingsTobacco consumption was observed to be the dominant form of substance use among doctoral students. Findings revealed that 34% of scholars smoked and 25% consumed smokeless tobacco daily and around 14% consumed alcohol at least once a week. Major significant correlates of substance consumption among scholars were found to be gender, religion, parental mortality, dissatisfaction with academic performance and stress about future career/employment. Significant variation in substance use patterns was observed among universities.Originality/valueThis study provides first-hand evidence on substance use patterns and the correlates among doctoral students in three Indian universities. Findings indicate the implementation of specific intervention programs for mental health and counselling for this section of students to prevent substance use addiction would be beneficial.

Background: There is a paucity of research on death registration in many developing countries, including India, but the evidence suggests that it is inadequate, incomplete, and out of date, undermining its effectiveness. Objective: In this study we use a comprehensive national survey to investigate how gender, together with socio-economic and demographic factors, impact the registration of deaths in India. Data: The National Family Health Survey-5, conducted in 2019-2021 by the Ministry of Health and Family Welfare (MoHFW), Government of India, provides information on population, health, and nutrition for India and for each state and union territory. The survey includes questions on deaths in the household in the previous three years, individual information on the deceased, household level information and whether the death was registered in the civil registry or not. The total sample comprises of 636,699 households with 81,336 deceased cases, of which 46,917 cases were males and 34,419 cases were females. Methods: We performed univariate, bivariate and multivariate analysis. We calculated the proportion registered, by gender and other indicators, and then multilevel regression used to examine the risk factors for registration. Results: About 70% of all deaths were reported as being registered, 73% of male deaths and 64% of female deaths, an absolute gender gap in registered deaths of 9%. Infants, children, rural-residents, Muslims, Christians, Scheduled Castes and Tribes, and deaths in eastern India (North-Eastern, Central and Eastern regions) all had significantly lower odds of registering deaths with the civil authorities. Registration was also lower for deaths due to non-external causes, large households and poorer households. Conclusions: The data from the NFHS-5 suggest there are large and gender and other social and locational biases in the registration of deaths. Unless corrected, these biases are liable to cast serious doubts over the credibility of mortalit