Bidirectional and cross-lag relationship between social media use and psychological wellbeing: evidence from an Indian adolescent cohort study.

INTRODUCTION: In an online era like today, the relationship between social media and depression among adolescents and young adults is erratic and still continues to be a debatable subject. The study aims to examine the association and bi-directional relationship between social media usage and depressive symptoms among the adolescent boys and girls in India. METHODS: The study uses data from two waves of Understanding the Lives of Adolescents and Young Adults (UDAYA) project survey conducted in two Indian states of Uttar Pradesh and Bihar. Depression was measured by a Patient Health Questionnaire. Logistic regression has been used for analyzing the data comprising the same time period, whereas the bidirectional relationship between two time periods has been evaluated by Cross-Lagged Path Model. RESULT: Findings suggest that the percentage of moderate depressive symptoms increased from 1.7% to 3.0% from Wave 1 to Wave 2. Depression among adolescent girls increased slightly from wave 1 to wave 2 whereas a slight decrement was noticed in the moderate form of depressive symptom among adolescent girls using social media for the two waves. Socioeconomic factors like education, age, gender played an important role in affecting depression among adolescents in both the Wave of the survey. The path relationship reveals that social media users in Wave 1 [ß=0.22, p<0.001] were positively associated with social media users in Wave 2. Similar patterns were observed for depressive symptoms at both the waves of the survey. However, cross lagged relations between social media use and depression could not be established between the survey periods. CONCLUSION: A significant degree of association was found between social media use and depression among adolescent boys and girls in the study. The present study concludes that factors like age, gender and education showed significant relationships with social media use and depression.

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.

The role of self-efficacy and parental communication in the association between cyber victimization and depression among adolescents and young adults: a structural equation model.

BACKGROUND: With the rapid advancement and revolutionization of information and communication technologies, adolescents and young adults use smartphones, the internet, and social networking services more frequently, as a result, the problem of cyber-bullying sharply increases, and eventually it causes psychological issues and negative thoughts in the victims. This study aimed to examine the role of self-efficacy and parental communication in the relationship between cyber victimization and depression among adolescents and young adults in India. METHODS: Secondary data analysis was performed on a cross-sectional dataset obtained from the Understanding the Lives of Adolescents and Young Adults (UDAYA) wave 2 survey. The sample included 16,292 adolescent and young adult boys and girls aged 12-23 years. Karl Pearson Correlation coefficient analysis was done to examine the correlation between outcome variable (depressive symptoms), mediator variables (self-efficacy and parental communication) and key explanatory variable (cyber victimization). Further, structural equation modeling technique was applied to examine the hypothesized pathways. RESULTS: Adolescents and young adults being victims of cyber-bullying [ß = 0.1357, p < 0.001] and those witnessed inter-parental violence were positively [ß = 0.0026, p < 0.001] correlated with depressive symptoms. Self-efficacy and parental communication were negatively related to depressive symptoms among adolescents and young adults. There was a significant positive relationship between cyber victimization [ß = 0.258, p < 0.001] and depressive symptoms. Cyber victimization was positively related to self-efficacy [ß = 0.043, p < 0.001] among adolescents and young adults. Self-efficacy [ß= -0.150, p < 0.001] and parental communication [ß=-0.261, p < 0.001] reduced depressive symptoms among the participants. CONCLUSIONS: The findings suggest that adolescents and young adults who are victims of cyber-bully may have depressive symptoms and their mental health can be improved through the enhancement of self-efficacy and increased parental communication. Improved peer attitudes and familial support for empowering cyber victims should be taken into account while framing programs and interventions.

Application of machine learning in measurement of ageing and geriatric diseases: a systematic review.

BACKGROUND: As the ageing population continues to grow in many countries, the prevalence of geriatric diseases is on the rise. In response, healthcare providers are exploring novel methods to enhance the quality of life for the elderly. Over the last decade, there has been a remarkable surge in the use of machine learning in geriatric diseases and care. Machine learning has emerged as a promising tool for the diagnosis, treatment, and management of these conditions. Hence, our study aims to find out the present state of research in geriatrics and the application of machine learning methods in this area. METHODS: This systematic review followed Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines and focused on healthy ageing in individuals aged 45 and above, with a specific emphasis on the diseases that commonly occur during this process. The study mainly focused on three areas, that are machine learning, the geriatric population, and diseases. Peer-reviewed articles were searched in the PubMed and Scopus databases with inclusion criteria of population above 45 years, must have used machine learning methods, and availability of full text. To assess the quality of the studies, Joanna Briggs Institute's (JBI) critical appraisal tool was used. RESULTS: A total of 70 papers were selected from the 120 identified papers after going through title screening, abstract screening, and reference search. Limited research is available on predicting biological or brain age using deep learning and different supervised machine learning methods. Neurodegenerative disorders were found to be the most researched disease, in which Alzheimer's disease was focused the most. Among non-communicable diseases, diabetes mellitus, hypertension, cancer, kidney diseases, and cardiovascular diseases were included, and other rare diseases like oral health-related diseases and bone diseases were also explored in some papers. In terms of the application of machine learning, risk prediction was the most common approach. Half of the studies have used supervised machine learning algorithms, among which logistic regression, random forest, XG Boost were frequently used methods. These machine learning methods were applied to a variety of datasets including population-based surveys, hospital records, and digitally traced data. CONCLUSION: The review identified a wide range of studies that employed machine learning algorithms to analyse various diseases and datasets. While the application of machine learning in geriatrics and care has been well-explored, there is still room for future development, particularly in validating models across diverse populations and utilizing personalized digital datasets for customized patient-centric care in older populations. Further, we suggest a scope of Machine Learning in generating comparable ageing indices such as successful ageing index.

Utilisation of ANC services before and after the COVID-19 pandemic in selected resource-poor blocks of India: role of community health workers in Swabhimaan programme area.

INTRODUCTION: COVID-19 has disrupted maternal and child health services. Community Health Workers (CHWs) supported the women by visiting pregnant women's homes and providing the MCH services as required. This study attempts to understand the role of CHW and its impact on the Ante-Natal Care (ANC) services pre-pandemic and post-Pandemic in the poor resource setting. METHODS: The Swabhimaan programme interventions were carried out in the selected blocks in the Indian States of Bihar, Odisha and Chhattisgarh with the objective to improve the nutritional status of mothers, pregnant women and adolescents living in resource-poor blocks of three selected states during 2016-2022. Cross-sectional surveys, namely pre-pandemic (2018-19) and post-pandemic (2021-22) of pregnant and mothers of under two children, utilised to fulfil the objectives of this study. These surveys are part of Swabhimaan evaluation, a community-based non-randomised controlled study. RESULTS: The ANC services received by women have increased over time from 2015 to 2022. Our findings confirm that the ground-level community and health systems were active during the pandemic, and the results show significant improvement. Additionally, the women supported by the CHW have substantially improved pregnancy registration, first ANC, Tetanus injection, consumption of Iron Folic Acid, Calcium and deworming tablets than those who did not. Propesnsity Score Matching analysis shows that the average treatment effect on the various ANC services of having the support of CHW is significant. CONCLUSION: This study shows the vital role of CHWs in utilising various Maternal and Child Health services. Better linkage and networking of the CHWs with the community will ensure health service delivery regularly and in an emergency like a pandemic and develop resilience.

Applications of new measures of population ageing using quantity and quality of remaining life years to India and selected states.

In the latter part of the third stage, India is in demographic transition with declining fertility and mortality. This marked decline in death rates is driven by improvements in health conditions due to medical progress and better living conditions. The conventional measures of ageing do not account for the significant improvements in health and life expectancy, thus leading to a tendency to overestimate the impact of population ageing when these indicators are used. The old-age threshold in the conventional measures of ageing depends on chronological age. The present study estimated the multi-dimensional old-age thresholds (MOAT) based on the remaining life expectancy (RLE), self-rated health, activities of daily living (ADL), handgrip strength, and cognition in India and selected states. The standard population was derived for each dimension for 50 and over in states using the WHO Study on Global AGEing and Adult Health data. Keeping the dimensional characteristics as of the standard population, the estimated MOAT for India was 67 years where Maharashtra stands at the top (68.6), followed by, West Bengal (66.5) and Karnataka (66). A 64 year old woman was similar to 68.8 year old man, and a 66 year old rural person was equivalent to 68 year old urban person. The study suggests implications of MOATs on reducing the burden of ageing and increment in retirement age.

Status and correlates of non-communicable diseases among children and adolescents in slum and non-slum areas of India's four metropolitan cities.

The emergence of non-communicable diseases (NCDs) in childhood poses a serious risk to a healthy adult life. The present study aimed to estimate the prevalence of NCDs among children and adolescents in slums and non-slums areas of four metropolitan cities of India, and in rural areas of the respective states The study further, investigated the effect of the place residence as slum vs. non-slum and other risk factors of the NCDs. Nationally representative data from the Comprehensive National Nutrition Survey (CNNS) was used.. Estimates were based on children (5-9 years) and adolescents (10-19 years) for whom biomarkers predicting diabetes, high total cholesterol, high triglycerides and hypertension were determined. Weight, height and age data were used to calculate z-scores of the body mass index. Overweight and obesity was higher in urban areas than in rural areas among children and adolescents. Regional differences in the prevalence of diseases were observed; children in Delhi and Chennai had a higher likelihood of being diabetic while children in Kolkata were at a greater risk of high total cholesterol and high triglycerides. The risk of hypertension was strikingly high among non-slum children in Delhi. Children from slums were at a higher risk of diabetes compared to the children from non-slums, while children and adolecents from non-slums were at a greater risk of high triglycerides and hypertension respectively than their counterparts from slums. Male children and adolecents had a higher risk of diabetes and high cholesterol. Screening of children for early detection of NCDs should be integrated with the already existing child and adolescent development schemes in schools and the community can help in prevention and control of NCDs in childhood.

Modelling Determinants of Deaths Attributable to External Causes Among Adults in India.

The study aimed at finding the risk factors associated with adult mortality (15-59 years) due to external causes (accidents, suicide, poisoning, homicide, and violence). Using National Family Health Survey data-4 consisting of 1,756,867 sample, we applied a Robust Poisson Regression Model to determine the potential risk factors. Findings suggest that the highest proportion of deaths due to external causes was in the age group 20-24 years. The prevalence of these deaths was higher among older adults (age 50 years and above). The risk was more among males (Incident Rate Ratio (IRR) for females is: 0.29, p < 0.001), rural residents (IRR: 1.16, p < 0.001), exposed to mass-media (IRR: 1.08, p < 0.05), residing in female-headed households, in households having a member with higher education. This risk decreased for large families (IRR: 0.89, p < .001). A need to strengthen awareness and mentorship programs for young-adults and middle-aged people to control such avoidable deaths is recommended.

The effects of cyberbullying victimization on depression and suicidal ideation among adolescents and young adults: a three year cohort study from India.

BACKGROUND: Cyberbullying victimisation is considered a global public health issue concerning the psychological development of adolescents that oftentimes persists into adulthood. The current study explored the longitudinal relationship between cyberbullying victimisation and depression and suicidal ideation among adolescents and young adults, given the scarcity of such studies in poor-resource settings like India. METHODS: Data were drawn from the "Understanding the Lives of Adolescents and Young Adults" (UDAYA- 2015-16 and 2018-19) surveys conducted in two most-populated Indian states of Uttar Pradesh and Bihar. Bivariate and logistic regression analysis was conducted to fulfil the objectives of the study using a sample of 4428 and 11,864 adolescent (aged 10-19 years) male and female cohorts, respectively. RESULTS: The prevalence of cyberbullying victimization increased from 3.8% to 6.4% among female respondents and 1.9% to 5.6% among male respondents over three years. About 33% of females and 16.6% of males had depressive symptoms in their young adulthood. Nearly 7.5% females compared to 2.3% of males, reported that they have seriously considered attempting suicide in the past one year. Adolscents who experienced cyberbullying victimization were 2.07 times more likely to have depressive symptoms comapared to those who did not experience cyberbullying victimization. Similarly, adolescents who experienced cyberbullying victimization were 2.50 times more likely to have suicidal ideation than their counterparts with no experience of cyberbullying victimization. CONCLUSION: The findings suggest that cyberbullying victims are at higher risk of depressive symptoms and suicidal thoughts and these adverse effects persist for longer period. Therefore, cyberbullying and related mental health problems need to be addressed with more efficient strategies such as increased awareness of nuances of online harassments among adolescent and young adult population.

The association of smartphone screen time with sleep problems among adolescents and young adults: cross-sectional findings from India.

BACKGROUND: Although sleep problem is a growing public health issue with the advancement of technology, especially among adolescents and young adults, it received little attention. The study aimed to examine the association of screen time on smartphone with sleep problems among adolescents and young-adults in India. METHODS: We used data from the "Understanding the lives of adolescents and young-adults" (UDAYA, 2018). The effective sample size for the study was 16,292 adolescents and young adults (males-4428 and females-11,864). Descriptive statistics and bivariate analysis with percentages and chi-square test were used to report the preliminary results. Multivariable logistic regression analysis was conducted to examine the association between smartphone screen time and sleep problems, separately for adolescents and young adults. RESULTS: Nearly 15.6% of males and 23.5% of females had sleep problems in their adolescence in the last 15 days, while these percentage were high among young-adults (18.4% males and 33.24% females). Adolescents [AOR: 1.55; CI: 1.21-1.99] and young adults [AOR: 1.48; CI: 1.24-1.75], who spent more than 2 h on smartphone had higher odds of reporting sleep problems than those who did not use smartphone in the last 24 hours. Adolescent females who used smartphone for less or equal to 2 h and three or more hours respectively, had 2.11 [AOR: 2.11; CI: 1.63-2.73] and 2.94 times [AOR: 2.94; CI: 1.97-4.38] higher odds of reporting sleep problems than adolescent males who did not use smartphones. Additionally, among the young adult females, the odds of sleep problems were 1.66 times [AOR: 1.66; CI: 1.55-2.38] and 2.36 times [AOR: 2.36; CI: 1.59-3.51] greater than the non-users young adult males. CONCLUSION: The increased time spent on mobile phones's screen among adolescents and young-adults, particularly in females is associated with a higher likelihood of reporting sleeping problems. The current findings have important implications for adolescence and young-adults' mental health programmes. The findings can also be used to further inform how different strategies need to be developed for better sleep outcome during adolescence and young-adults.

An assessment of the role of socio-economic, maternal and service utilization factors in increasing self-reported maternal complications in India.

BACKGROUND: Self-reported maternal complications are associated with maternal morbidity, deliveries by C-section, postpartum depression, and maternal death. Thus, it is necessary to examine the contribution of socio-demographic and maternal characteristics, as well as service utilization in the rising self-reporting of maternal complications (difficulty with daylight vision, convulsions, swelling of the legs, body or face, heavy vaginal bleeding or high fever) in India. The study aimed at examining the factors that have influenced the increasing prevalence of maternal complications between 2005-06 and 2015-16 in India. METHODS: Data from the two most recent rounds of the National Family Health Survey, which covered a sample of 36,850 and 190,898 women respectively who delivered in the last five years preceding the survey has been used. Logistic regression analysis was performed to carve out the factors which significantly contributed to maternal complications among women aged 15 - 49 years in India. With the help of the Fairlie decomposition technique, the study quantified the contribution of factors which influenced the changes in maternal complications in the period from 2005-06 to 2015-16. RESULTS: A significant increase was seen in the prevalence of maternal complications - from 43.6% to 53.7% between the years 2005-06 and 2015-16. About 21% of the increase could be explained by certain maternal, households level factors, service utilization and birth outcomes. For example, service utilization, in which 13% was attributed to the place of delivery and 6% to postnatal care, was the major contributor to the increase in maternal complications from 2005-06 to 2015-16). This was followed by individual-level factors like education (2%), body mass index (4%) and tobacco use,. It was also found that household-level factors like standard of living (-3.7%) and region (-1.4%), and birth weight contributed to the reduction of complications during the period. CONCLUSION: The increase in the prevalence of maternal complications in India could be attributed mainly attributed to increase in reporting behavior, an outcome of increased utilization of maternal healthcare services, and increase in BMI. However, reduced prevalence of maternal complications can be attributed to the decrease in the prevalence of low-birth-weight babies and tobacco use among women in India.

Does substance use by family members and community affect the substance use among adolescent boys? Evidence from UDAYA study, India.

BACKGROUND: Substance use among adolescents is risky behavior that had emerged as a concern in both developed and developing countries. Evidence revealed that substance use is more frequent among those adolescents whose immediate family members (parents, siblings and grandparents) also indulge in such consumption; however, scarce literature is present in the Indian context. Therefore, the present study examined whether substance use among family members and in the community is associated with the substance use behavior of adolescent boys in Uttar Pradesh and Bihar. METHOD: We used the data for 5969 adolescent boys aged 10-19 years from the Understanding the Lives of Adolescents and Young Adults (UDAYA) survey conducted in 2016. A three-level random intercept logit model was utilized to understand the association of adolescent substance use behavior with familial and community context. RESULTS: We found that 16% of adolescent boys were using any substance (tobacco or alcohol or drug). The substance use was significantly higher among adolescent boys who were school dropouts (40%) than those who were currently in school. The prevalence of substance use is also high among those who were working (35%). Moreover, 19, 24 and 28% of the adolescents come from families where at least one of the family members consumed tobacco, alcohol and drugs, respectively. The odds of substance use were 2.13 times [CI:1.44-3.17] higher among those adolescent boys whose family members also indulged in substance use. Moreover, the likelihood of substance use was 1.24 times [CI:1.01-1.68] higher among the adolescent boys who come from a community with high substance use. Additionally, the risk of substance use is more likely among adolescent boys belonging to the same household of the same community. CONCLUSION: It is evident that exposure to substance use in the family and community increases the likelihood of substance use among adolescent boys. There is a need for household- and community-level programmatic interventions to alleviate the risk of substance use among adolescents.

Structural equation modeling on the relationship between maternal characteristics and pregnancy complications: A study based on National Family Health Survey.

AIM: This study aimed to understand the complex relationship between maternal complications and women's characteristics in India. METHODS: The present study builds structural equation modeling (SEM) using the data from the National Family Health Survey round 4 (2015-16) and includes 190, 898 women who had given their last birth during 5 years preceding the survey. Based on eight questions related to maternal complications, the SEM constructed two latent variables - complications during pregnancy (PREGCOMP) and delivery (DELCOMP). RESULTS: Result shows that prolonged labor was highly prevalent (42%) among women, followed by vaginal bleeding (34%) and swelling in legs, body or face (32%). Women from affluent households (ß = -0.02 for each-middle, richer and richest quantile), with higher education (ß = -0.02), timing when they received first ANC (ß = -0.003) and women who received full ANC (ß = -0.01) had a lower risk of PREGCOMP. However, consanguineous marriage (ß = 0.01) was positively related to PREGCOMP. Further, women with PREGCOMP (ß = 0.20), rural residents (ß = 0.02), having exposure to mass media (ß = 0.01), and who had facility delivery (ß = 0.04) were at high risk of DELCOMP. Women with pregnancy complications are more likely to have delivery complications. [Correction added on 27 November, after first online publication: The statement "who received full antenatal care (ANC) (ß = -0.05)" has been removed.] CONCLUSION: Socioeconomic and demographic factors significantly affect both the latent variables. This study concludes that the use of intensive healthcare services reduces health complications. The paper recommends early visits and full ANC checkups to reduce pregnancy complications.

Household- and community-level determinants of low-risk Caesarean deliveries among women in India.

Caesarean section delivery rates in India have doubled from 9% in 2005-06 to 17% in 2015-16, increasing the clinical and economic burden on the health care system. This study applied multilevel models to assess the role of household- and community-level factors in Caesarean section (CS) deliveries among low-risk women in India using data from Round 4 of the National Family Health Survey (NFHS-4) conducted in 2015-16. The sample size was 59,318 low-risk women who had their last birth in an institution during the 5 years preceding the survey. These women were nested in 57,279 households, which were nested in 22,183 communities, which were further nested in 640 districts in India. Around 21% of the low-risk women and 24% of all women who had delivered in an institution had undergone CS. The CS rates among low-risk women were extremely high in private institutions (40%) and in southern India (43%). The explanatory variables age, education of women, household wealth and number of antenatal visits were significantly positively associated, while women's parity was negatively associated, with CS delivery among low-risk women. The multilevel analysis suggested that the likelihood of a low-risk woman opting for CS was influenced by a similar decision of another woman from the same household (37%) and/or community (18%). Furthermore, women with low-risk pregnancies from higher educated communities were less likely (OR 0.92) to undergo CS. There is therefore a need for a community-level awareness programme on the risks and benefits of low-risk CS and vaginal delivery, particularly in the southern region of India.

Co-existence of diabetes and TB among adults in India: a study based on National Family Health Survey data.

Multiple studies suggest that diabetes mellitus (DM) is a potential risk factor for tuberculosis (TB) development and treatment, especially in low- and middle-income countries. The study aimed to test concomitancy between DM and TB among adults in India. Data were from the 2015-16 National Family Health Survey (NFHS-4). The study sample comprised 107,575 men aged 15-54 and 677,292 women aged 15-49 for which data on DM status were available in the survey. The association between state-level prevalence of TB and DM was examined and robust Poisson regression analysis applied to examine the effect of DM on TB. A high prevalence of TB was observed among individuals with diabetes in India in 2015-16. A total of 866 per 100,000 men and 405 per 100,000 women who self-reported having diabetes also had TB; among those who self-reported not having diabetes the ratios were 407 per 100,000 men and 241 per 100,000 women. The risk of having TB among those who self-reported having DM was higher for both men (2.03, 95% CI: 1.26, 3.28) and women (1.79, 95% CI: 1.48, 2.49) than for those who did not self-report having DM. Adults who were diagnosed with diabetes (including pre-diabetes) also had a higher rate of TB (477 per 100,000 men and 331 per 100,000 women) than those who were not diagnosed (410 per 100,000 men and 239 per 100,000 women). Adults from poor families, with lower BMIs, lower levels of literacy and who were not working had a higher risk of TB-DM co-morbidity. The state-level pattern of co-morbidity, the under-reporting of DM (undiagnosed) and TB stigmatization are discussed. The study confirms that diabetes is an important co-morbid feature with TB in India, and reinforces the need to raise awareness on screening for the co-existence of DM and TB with integrated health programmes for the two conditions.

Increasing role of abstinence and infecundity in non-use of contraceptive methods in India.

This paper assesses the reasons for non-use of contraceptive methods, and the possible complexity of reported data on women in India. The study used recent data from two successive rounds of the National Family Health Survey (NFHS) (2005-06: N=37,296; 2015-16: N=247,024), which surveyed currently married women aged 15-49 years. The reporting on non-use of contraceptives and the changing pattern of the reasons for non-use were analysed, classified into fertility and other cited reasons. The self-reported reasons for non-use of contraception were verified with other related information captured in the survey. Bivariate and logistic regression analyses were conducted. Sexual abstinence (not having sex: 10%; infrequent sex: 3%) and infecundity (menopausal/hysterectomy: 12%; subfecund/infecund: 10%) were the most commonly reported reasons for non-use of contraceptive methods in 2015-16, followed by refusal to use (10%). The proportion of non-users who wanted to have a child soon (25% to 21%), were pregnant (16% to 13%), in postpartum amenorrhoea (68% to 40%) and who had method-related reasons (10% to 6%) declined over time (from 2005-06 to 2015-16, respectively). A higher proportion of less-educated women reported abstinence (6%) and menopause/hysterectomy (19%) than educated women. Abstinence was more commonly reported in states with low prevalence of modern contraceptive use. The findings suggest that the increasing trend of abstinence and infecundity among non-users of contraception may be a concern for future research and reproductive health programmes, as it questions both the quality of data and sexual health of married couples.

Length of stay after childbirth in India: a comparative study of public and private health institutions.

BACKGROUND: This paper discusses length of stay (LOS) following childbirth as an indicator of quality of postnatal care in health institutions. This research aims to describe LOS according to both vaginal and cesarean deliveries in public and private health care institutions in India, and to identify any association of LOS with postnatal care and post-delivery complications. METHODS: We use recently released nationally-representative data from the National Family Health Survey-4 (2015-16) and apply the Cox proportional hazard model to determine the factors associated with LOS at the health facility after childbirth during a five-year period preceding the survey. RESULTS: Overall, the average LOS after childbirth is 3.4 days; 2.1 days for vaginal deliveries and 8.6 days for cesarean section (CS) deliveries. Strikingly, half of the women are discharged within 48 h. Women who give birth in private hospitals have a more prolonged stay than those who give birth in public health facilities. For vaginal birth in public hospitals, one-fourth of the women are discharged with insufficient LOS as against only 19.2% women in private hospitals. LOS is significantly related to the cost of delivery only in the case of private facilities. Uneducated women belonging to lower wealth quintile households and those living in rural areas stay for a shorter duration for vaginal deliveries but for a longer duration in case of cesarean deliveries. Women who get four or more antenatal check-ups (ANC) done have a longer stay, while those who receive benefits under the Janani Suraksha Yojna (JSY) have a shorter stay. Another key finding is that women who are discharged on the same day report lower levels of postnatal care and a higher proportion of post-delivery complications. CONCLUSION: The study concludes that early discharge has a negative association with maternal health outcomes, which has important program implications. Therefore, it is essential to maintain an adequate LOS at a facility after childbirth. We recommend that government programs should strengthen the JSY scheme not only to improve delivery care, but also to provide effective postnatal care by promoting sufficient LOS at facilities.

Inequalities in the utilization of maternal health care in the pre- and post-National Health Mission periods in India.

Since the implementation of the National Health Mission (NHM) in India there has been a noticeable improvement in the utilization of maternal care, namely antenatal care (ANC), skilled birth attendants (SBA) and postnatal care (PNC) in the country. The increase in utilization of these services is expected to reduce inequality across geographies and population sub-groups, but little is known about the extent of inequality in maternal care use across socioeconomic groups over time. Using data from the last two rounds of National Family Health Surveys conducted in 2005-06 and 2015-16, this study examined the extent of inequality in utilization of full ANC, SBA and PNC in India and its states. Descriptive statistics were used, a concentration index was computed and decomposition analyses performed to understand the pattern and change of inequality in use of maternal care. The results suggest that the gap in maternal care utilization across socioeconomic groups has reduced over time. The concentration index for SBA showed a decline from 0.49 in 2005-06 to 0.08 by 2015-16, while that of PNC declined from 0.36 to 0.13 over the same period. The reduction in inequality in utilization of full PNC was the least. The results of the decomposition analysis revealed that urban residence, education and belonging to Scheduled Caste and Scheduled Tribes positively contributed to the inequality. Based on these findings, it is suggested that the Janani Suraksha Yojana and Janani Sishu Suraksha Karyakaram schemes be continued and strengthened for poor mothers to reduce maternal health inequality, particularly in full ANC and PNC.

Surging trends of infertility and its behavioural determinants in India.

The World Health Organisation (WHO) has recognised infertility as a public health issue. Although biological factors are considered to be the primary cause, factors like social, health, and lifestyle factors can all have an adverse effect on a couple's ability to reproduce. The study aimed to comprehend the infertility scenario in India and explore some of the potential causes. The study used standard demographic definitions and four rounds of the National Family Health Survey (NFHS) from 1992-1993 to 2015-16 to estimate the levels of primary and secondary infertility in India. Bivariate analysis, the t-test, and the Chi-square test were applied to capture significant changes in infertility over time. The multivariate logistic regression model was used to understand the extent of infertility among Indian couples from various socioeconomic groups, lifestyle levels, and reproductive behaviour in 2015-16. Primary infertility declined steadily from 1992 to 2015, whereas secondary infertility increased from 19.5% in 1992-93 to 28.6% in 2015-16. This trend is related to declining fertility rates, particularly in India's southern states. Age at marriage, biological factors, and lifestyle factors were all strongly linked to infertility. People with higher education levels and late marriages were more likely to experience primary infertility. Alcohol consumption, smoking, obesity, and noncommunicable disease are all strongly linked to secondary infertility. Our study has policy implications, and we draw attention to alarming infertility in India, which has gone unnoticed due to large population. We suggests enhancing the current health and reproductive programmes, educating people about improving their lifestyle choices and sexual behaviour, and calling attention to a significant shift in fertility dynamics.

Correlates of access to sanitation facilities and benefits received from the Swachh Bharat Mission in India: analysis of cross-sectional data from the 2018 National Sample Survey.

OBJECTIVE: Equitable and affordable access to improved sanitation facilities is linked to health and is among the priority areas of development programmes in a country like India. This study assesses the level of different sanitation facilities accessed by households and attempts to understand the socioeconomic characteristics of the households that received financial benefits from the Swachh Bharat Mission (Swachh Bharat Abhiyan), a Government of India flagship programme. DESIGN: Cross-sectional study. SETTING AND PARTICIPANTS: The study extracted data from the 76th round (2018) of the National Sample Survey, consisting of 106 837 households in India. OUTCOME MEASURES: Sanitation services and benefits received from the Swachh Bharat Mission in the last 3 years preceding the survey were the two outcome variables of this study. Bivariate and multinomial logistic regression analysis were performed to identify factors associated with the outcome variables. RESULTS: Findings show the existence of state and regional disparities, along with rural-urban gaps, in the accessibility of sanitation facilities. Half of the households (52%, n=55 555) had access to safely managed sanitation facilities, followed by basic services (14.8%, n=15 812), limited services (11.4%, n=12 179) and unimproved services/open defecation (21.8%, n=23 290). Limited and unimproved facilities decreased significantly (p<0.001) with increase in economic status, although poor and less educated households received the maximum benefit from the Swachh Bharat Mission. CONCLUSION: The mission has been successful in increasing access overall; however, many people continue to lack access to improved sanitation and there remains a need to follow up poor and rural households to determine their usage of and the current state of their sanitation facilities.