Anaemia among mother-father-child pairs in India: examining co-existence of triple burden of anaemia in a family

Abstract Background Anaemia is a global health concern and is also a common comorbidity in multiple medical conditions. Very limited research is available examining anaemia among family members in India and across various countries. The present study aimed to examine the co-existence of the triple burden of anaemia among mother-father-child pairs in a family. Methods The data utilized was from the National Family Health Survey conducted in 2015–16. The effective sample size for the study was 26,910 couples, along with children aged 6–59 months. The bivariate and binary logistic regression analysis were applied to assess the factors associated with family-level anaemia. In bivariate analysis, a chi-square test was performed to determine the association of socio-demographic factors with anaemic family. Results More than half of the mothers (57.5%) and their children (58%), along with 10% of fathers, were found to be anaemic; however, the co-existence of triple burden of anaemia among mother-father-child pairs was 4.7% in the study. The likelihood of family-level anaemia was low when both the parents were educated [OR: 0.69, CI: 0.58–0.81], and it was high when both the parents were employed [OR: 1.40 CI: 1.10–1.80]. Families from the Scheduled Tribe had a 62% higher likelihood to suffer from anaemia [OR: 1.62, CI: 1.33–1.97]. Conclusions The suggested interventions include early diagnosis, effective management, and treatment of anaemia. Moreover, adequate complementary feeding practices for children shall also be promoted. Parental education on nutrition is also required, and community interventions are needed to improve parental education on nutrition. At last, there is a need for greater policy and program attention to improving nutritional knowledge among mothers so as to tackle the triple burden of anaemia among mother-father-child pairs.

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Linkages of Multi-Dimensional Vulnerabilities with Infant and Child Mortality Rates in India and Its Specific Regions: Are Social Determinants of Health still Relevant?

OMEGA - Journal of Death and Dying ◽

10.1177/0030222821997704 ◽

2021 ◽

pp. 003022282199770

Author(s):

Prem Shankar Mishra ◽

Debashree Sinha ◽

Pradeep Kumar ◽

Shobhit Srivastava ◽

T. S. Syamala

Keyword(s):

Child Mortality ◽

Family Health ◽

Binary Logistic Regression ◽

Three Dimensions ◽

Bivariate Analysis ◽

Binary Logistic Regression Analysis ◽

Effective Sample Size ◽

Predicted Probability ◽

Infant And Child Mortality ◽

National Family

The present study investigated linkages between multiple socio-economic vulnerabilities with infant and child mortality in India and its specific regions. Data from the National Family Health Survey (2015–16) was used for calculating the key-outcome variables, namely infant mortality and child mortality. The effective sample size for the study was 259,627. Bivariate analysis and binary logistic regression analysis were employed to examine three dimensions of vulnerabilities such as education, wealth, and caste on infant and child mortality. Children born to women with multiple-vulnerabilities were more likely to die than those born to non-vulnerable women. Women who were vulnerable in all the three-dimensions were more likely to have their children die as infants than those who were not vulnerable in any dimensions (predicted probabilities; 0.054 vs 0.026). The predicted probability for child mortality was 0.063 for women who were vulnerable and 0.028 for non-vulnerable women.

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Population attributable risk for multimorbidity among adult women in India: Do smoking tobacco, chewing tobacco and consuming alcohol make a difference?

PLoS ONE ◽

10.1371/journal.pone.0259578 ◽

2021 ◽

Vol 16 (11) ◽

pp. e0259578

Author(s):

Vivek K. Mishra ◽

Shobhit Srivastava ◽

Muhammad T. ◽

P. V. Murthy

Keyword(s):

Population Attributable Risk ◽

Family Health ◽

Attributable Risk ◽

Bivariate Analysis ◽

Binary Logistic Regression Analysis ◽

Effective Sample Size ◽

Adult Women ◽

Chewing Tobacco ◽

Increased Risk ◽

Smoke Tobacco

Background The present study aims to estimate the prevalence and correlates of multimorbidity among women aged 15–49 years in India. Additionally, the population attributable risk for multi-morbidity in reference to those women who smoke tobacco, chew tobacco, and consume alcohol is estimated. Methods The data was derived from the National Family Health Survey which was conducted in 2015–16. The effective sample size for the present paper 699,686 women aged 15–49 years in India. Descriptive statistics along with bivariate analysis were used to do the preliminary analysis. Additionally, binary logistic regression analysis was used to fulfil the objectives. Results About 1.6% of women had multimorbidity in India. The prevalence of multimorbidity was high among women from southern region of India. Women who smoke tobacco, chew tobacco and consume alcohol had 87% [AOR: 1.87CI: 1.65, 2.10], 18% [AOR: 1.18; CI: 1.10, 1.26] and 18% [AOR: 1.18; CI: 1.04, 1.33] significantly higher likelihood to suffer from multi-morbidity than their counterparts respectively. Population Attributable Risk for women who smoke tobacco was 1.2% (p<0.001), chew tobacco was 0.2% (p<0.001) and it was 0.2% (p<0.001) among women who consumed alcohol. Conclusion The findings indicate the important role of lifestyle and behavioural factors such as smoking and chewing tobacco and consuming alcohol in the prevalence of multimorbidity among adult Indian women. The subgroups identified as at increased risk in the present study can be targeted while making policies and health decisions and appropriate comorbidity management can be implemented.

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The association of widowhood and living alone with depression among older adults in India

Scientific Reports ◽

10.1038/s41598-021-01238-x ◽

2021 ◽

Vol 11 (1) ◽

Author(s):

Shobhit Srivastava ◽

Paramita Debnath ◽

Neha Shri ◽

T. Muhammad

Keyword(s):

Older Adults ◽

Marital Status ◽

Living Arrangement ◽

Binary Logistic Regression ◽

Well Being ◽

Living Alone ◽

Bivariate Analysis ◽

Binary Logistic Regression Analysis ◽

Effective Sample Size ◽

Nationally Representative

AbstractWidowhood is a catastrophic event at any stage of life for the surviving partner particularly in old age, with serious repercussions on their physical, economic, and emotional well-being. This study investigates the association of marital status and living arrangement with depression among older adults. Additionally, the study aims to evaluate the effects of factors such as socio-economic conditions and other health problems contributing to the risk of depression among older adults in India. This study utilizes data from the nationally representative Longitudinal Ageing Study in India (LASI-2017–18). The effective sample size was 30,639 older adults aged 60 years and above. Descriptive statistics and bivariate analysis have been performed to determine the prevalence of depression. Further, binary logistic regression analysis was conducted to study the association between marital status and living arrangement on depression among older adults in India. Overall, around nine percent of the older adults suffered from depression. 10.3% of the widowed (currently married: 7.8%) and 13.6% of the older adults who were living alone suffered from depression. Further, 8.4% of the respondents who were co-residing with someone were suffering from depression. Widowed older adults were 34% more likely to be depressed than currently married counterparts [AOR: 1.34, CI 1.2–1.49]. Similarly, respondents who lived alone were 16% more likely to be depressed compared to their counterparts [AOR: 1.16; CI 1.02, 1.40]. Older adults who were widowed and living alone were 56% more likely to suffer from depression [AOR: 1.56; CI 1.28, 1.91] in reference to older adults who were currently married and co-residing. The study shows vulnerability of widowed older adults who are living alone and among those who had lack of socio-economic resources and face poor health status. The study can be used to target outreach programs and service delivery for the older adults who are living alone or widowed and suffering from depression.

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Prevalence and Correlates of Vision Impairment and Its Association With Cognitive Impairment Among Older Adults in India: An Epidemiological Study

10.21203/rs.3.rs-148852/v1 ◽

2021 ◽

Author(s):

Muhammad T ◽

Drishti Drishti ◽

Shobhit Srivast

Keyword(s):

Older Adults ◽

Cognitive Impairment ◽

Psychological Health ◽

Population Aging ◽

Binary Logistic Regression ◽

Vision Impairment ◽

Bivariate Analysis ◽

Binary Logistic Regression Analysis ◽

Effective Sample Size ◽

Older Individuals

Abstract BackgroundLike other major chronic diseases, vision impairment is an independently associated risk factor of cognitive decline among older individuals. We in this study, aim to investigate what are the predictors of vision impairment in old age and how impaired vision is associated with cognitive impairment among the aging population.MethodsThe present research used data from Building a Knowledge Base on Population Aging in India. The effective sample size for the present study was 9541 older adults. Descriptive statistics and bivariate analysis was used to find the preliminary results. Further, binary logistic regression analysis was been done to fulfil the objective of the study.ResultsAbout 6 in every 10 older adults had a problem of vision impairment. Further, nearly 60% of older adults had cognitive impairment in India. Diabetes [OR: 1.55, CI: 1.32-1.81], hypertension [OR: 1.60, CI: 1.42-1.80], heart disease [OR: 1.43, CI: 1.16-1.76] and cataract [OR: 5.97, CI: 4.83-7.38] were the risk factors for vision impairment among older adults. It was revealed that the older adults who had vision impairment were 11% significantly more likely to have cognitive impairment when compared with the older adults who do not suffer from vision impairment [OR: 1.11, CI: 1.01-1.23]. Low psychological health [OR: 1.55; CI: 1.36, 1.77], low ADL [OR: 1.80; CI: 1.43, 2.27], low IADL [OR: 1.26; CI: 1.14, 1.40], poor self-rated health [OR: 1.28; CI: 1.15-1.41] and chronic morbidity [OR: 1.27; CI: 1.14, 1.41] were the significant factors for cognitive impairment among older adults in IndiaConclusionsAdditional efforts in terms of advocacy, availability, affordability, and accessibility especially in a country with a greater illiteracy rate are mandatory to increase the reach of eye-care services and reduce the prevalence of avoidable visual impairment and vision losses that lead to cognitive deficits among the older population.

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Prevalence and risk factors of anaemia among men: A study based on Empowered Action Group states, India

Nutrition and Health ◽

10.1177/0260106020982348 ◽

2021 ◽

pp. 026010602098234

Author(s):

Pradeep Kumar ◽

Himani Sharma ◽

Kamalesh Kumar Patel

Keyword(s):

Family Health ◽

Public Health Problem ◽

Binary Logistic Regression ◽

Bivariate Analysis ◽

Cross Sectional Survey ◽

Cross Sectional ◽

Action Group ◽

Nationally Representative ◽

The Government ◽

Eag States

Background: Despite various programmes initiated by the Government of India, the nutritional indicators are not encouraging, as several problems like undernutrition, malnutrition and anaemia – still persist in the country, especially in the Empowered Action Group (EAG) states. Aim: Because of the dearth of studies regarding anaemia among men in India, the present study aimed to determine its prevalence in this population in the EAG states and to analyse its geographical and socio-demographic determinants. Methods: The study utilized nationally representative, cross-sectional survey data from round 4 of the National Family Health Survey conducted in 2015–16. Bivariate analysis along with binary logistic regression were performed to assess the predictors of anaemia among men in the EAG states. Results: Around a quarter of the men in the EAG states suffered from anaemia. A similar high-prevalence pattern was observed across the EAG states. Wherein, Bihar and Jharkhand had the highest prevalence of anaemia while Uttarakhand showed the lowest. Age, place of residence, marital status and caste were positively associated with the likelihood of anaemia among men in the EAG states. Conclusions: Focusing on the EAG states, this study considered the severity of anaemia as a public health problem among men. Strategies to reduce the burden of anaemia among this population are needed. The government should formulate programmes targeting anaemia specifically, and improving the nutritional status among men in general in the EAG states.

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Deciphering Links Between Sexual Violence and Castes in India

Contemporary Voice of Dalit ◽

10.1177/2455328x211032509 ◽

2021 ◽

pp. 2455328X2110325

Author(s):

Yogendra Musahar

Keyword(s):

Regression Model ◽

Sexual Violence ◽

Economic Status ◽

Family Health ◽

Uttar Pradesh ◽

Binary Logistic Regression ◽

Wealth Index ◽

Bivariate Analysis ◽

Binary Logistic Regression Model ◽

Explanatory Variables

The recent incident, the gang rape and murder of a 19-year-old woman in Hathras, a small village in Uttar Pradesh of India, once again sparks a debate on links between sexual violence and castes in India. This article aims to examine the links between sexual violence and castes in India. This study utilizes the national representative National Family Health Survey 4 (NFHS-4, 2015–16) data. A bivariate analysis was carried out to analyse the data. A binary logistic regression model was applied to predict the effect of explanatory variables, viz. type of place of residence, years of schooling complete, economic status in terms of wealth index and finally castes on predicted variable, i.e. sexual violence. The binary regression model indicates that there were links between sexual violence and castes. For secured and dignified life of women, caste-based sexual violence must be annihilated.

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Inequality in institutional delivery of the recent birth among married women in Nepal: a trend analysis

10.21203/rs.3.rs-27816/v2 ◽

2020 ◽

Author(s):

Ramesh Adhikari ◽

Aakriti Wagle

Keyword(s):

Developing Countries ◽

Maternal Mortality ◽

Rural Women ◽

Institutional Delivery ◽

Maternal Mortality Ratio ◽

Binary Logistic Regression ◽

Bivariate Analysis ◽

Demographic And Health Surveys ◽

Chi Square ◽

Safe Delivery

Abstract Background The huge discrepancy in health statistics between developed and developing countries occur in the area of maternal mortality, with developing countries contributing most of the figures. Nepal has higher maternal mortality ratio than its South Asian neighbors. This study assesses the trend of institutional delivery of recent birth and compared the inequalities with associated factors that affect institutional delivery in Nepal.Methods The data for this study was obtained from three sequential Nepal Demographic and Health Surveys [NDHS] of 2006, 2011, and 2016. The information was collected from mothers having a child within last five years preceding the survey years. The total number of such mothers was 4066, 4148, and 3998 respectively in the survey of 2006, 2011, and 2016.The association between institutional delivery and the explanatory variables was assessed via bivariate analysis (chi-square test) and multivariate analysis (binary logistic regression).Results The utilization of health service during delivery stepped up from 21% in 2006 to 62% in 2016.Although the proportion of delivery in health facility increased among poorest over the period of 10 years, the disparity between richest and poorest still persisted from 2006 to 2016 and the association was highly significant in all the surveys. Although, government of Nepal has launched the maternity incentive scheme through safe delivery incentive program in 2005, poor women are still deprived from utilizing the service. Poorest and poorer women were 78 percent (aOR=0.22, 95% CI 0.17-0.27) and 71 Percent (aOR=0.23, 95%CI 0.23-0.35) respectively less likely to have institutional delivery than the richest women after controlling the other socio-demographic and culture factors. Furthermore, this study found that education, place of residence, women’s autonomy, religion, number of ANC visits, exposure to newspaper and TV were significant predicators for place of delivery. Conclusion Although there has been three-fold increment in utilization of health services during delivery over the period of 10 years, the discrepancy between rich and poor, educated and uneducated and urban and rural area is highly evident. Overall, our study highlights the necessity of interventions to promote institutional delivery with greater focus on poor, uneducated, and rural women.

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Born Too Soon; Implications in a Tertiary Health Facility in Enugu State Nigeria

International Journal of Health Sciences and Research ◽

10.52403/ijhsr.20210630 ◽

2021 ◽

Vol 11 (6) ◽

pp. 190-196

Author(s):

Nwoga Hope Obiageli ◽

Ajuba Miriam Obinwanne ◽

Igweagu Chukwuma Paulinus

Keyword(s):

Caesarean Section ◽

Health Facility ◽

Preterm Delivery ◽

Tertiary Education ◽

Binary Logistic Regression ◽

Bivariate Analysis ◽

P Value ◽

Chi Square ◽

Chi Square Test ◽

Enugu State

Background: Preterm birth (PTB) is a complex complication of pregnancy with multiple etiologies. This results in long term medical burdens to the families and health care system at large. The objective of the study was to determine the socio-demographic and obstetric characteristics that affect preterm delivery. Methods: The study was a prospective cohort study conducted at the Obstetrics and Gynecology Department of a tertiary health facility in Nigeria. Data for the study were retrieved from the ante-natal and delivery card of the women that delivered at the unit within the time of data collection. Data was analyzed using SPSS version 25 and variables were presented as frequencies, percentages, means, and standard deviation. Bivariate analysis was done using chi-square test. The level of significance was set at p value ≤ 0.05. Binary logistic regression was used to determine factors that predicted preterm delivery. Results: Majority of them were married 746(96.9%), Igbos 763(99.1) and Christians 766(99.5%). Most of the women were civil servants 429(55.7%), while about 31.3% of them were unemployed 241(31.3%). Majority of the women 484(62.9%) had tertiary education. About 48% of them delivered through caesarean section while 53.9% booked within 14-28weeks gestation. Delivering through caesarean section and gestational age at booking predicted preterm delivery. Un-booked mothers have about 7times odds of having PTB when compared to those that booked at ≥28 week’s gestation. Conclusion: The prevalence of PTB is still high in Nigeria. Booking status of the mother and C/S delivery were found to be strongly associated with preterm delivery. Key words: Enugu State, Nigeria, Preterm delivery, Prevalence, Tertiary health facility.

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MRI Radiological Predictors of Requiring Microscopic Lumbar Discectomy After Lumbar Disc Herniation

Global Spine Journal ◽

10.1177/2192568219856345 ◽

2019 ◽

Vol 10 (1) ◽

pp. 63-68 ◽

Cited By ~ 1

Author(s):

Christopher G. Varlotta ◽

David H. Ge ◽

Nicholas Stekas ◽

Nicholas J. Frangella ◽

Jordan H. Manning ◽

...

Keyword(s):

Risk Factors ◽

Disc Herniation ◽

Lumbar Disc ◽

Binary Logistic Regression ◽

Primary Treatment ◽

Nonoperative Treatment ◽

Lumbar Discectomy ◽

Binary Logistic Regression Analysis ◽

Chi Square ◽

Cutoff Values

Study Design: Retrospective cohort study. Objective: To investigate radiological differences in lumbar disc herniations (herniated nucleus pulposus [HNP]) between patients receiving microscopic lumbar discectomy (MLD) and nonoperative patients. Methods: Patients with primary treatment for an HNP at a single academic institution between November 2012 to March 2017 were divided into MLD and nonoperative treatment groups. Using magnetic resonance imaging (MRI), axial HNP area; axial canal area; HNP canal compromise; HNP cephalad/caudal migration and HNP MRI signal (black, gray, or mixed) were measured. T test and chi-square analyses compared differences in the groups, binary logistic regression analysis determined odds ratios (ORs), and decision tree analysis compared the cutoff values for risk factors. Results: A total of 285 patients (78 MLD, 207 nonoperative) were included. Risk factors for MLD treatment included larger axial HNP area ( P < .01, OR = 1.01), caudal migration, and migration magnitude ( P < .05, OR = 1.90; P < .01, OR = 1.14), and gray HNP MRI signal ( P < .01, OR = 5.42). Cutoff values for risks included axial HNP area (70.52 mm2, OR = 2.66, P < .01), HNP canal compromise (20.0%, OR = 3.29, P < .01), and cephalad/caudal migration (6.8 mm, OR = 2.43, P < .01). MLD risk for those with gray HNP MRI signal (67.6% alone) increased when combined with axial HNP area >70.52 mm2 (75.5%, P = .01) and HNP canal compromise >20.0% (71.1%, P = .05) cutoffs. MLD risk in patients with cephalad/caudal migration >6.8 mm (40.5% alone) increased when combined with axial HNP area and HNP canal compromise (52.4%, 50%; P < .01). Conclusion: Patients who underwent MLD treatment had significantly different axial HNP area, frequency of caudal migration, magnitude of cephalad/caudal migration, and disc herniation MRI signal compared to patients with nonoperative treatment.

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Perception of disaster preparedness and participation in training are associated with disaster preparedness among health workers

Public Health and Preventive Medicine Archive ◽

10.15562/phpma.v7i1.186 ◽

2019 ◽

Vol 7 (1) ◽

pp. 8

Author(s):

I Made Dwie Pradnya Susila ◽

Pande Putu Januraga ◽

Ni Wayan Arya Utami

Keyword(s):

Disaster Management ◽

Disaster Preparedness ◽

Health Workers ◽

Binary Logistic Regression ◽

Bivariate Analysis ◽

Continuous Training ◽

Cross Sectional Survey ◽

Chi Square ◽

Cross Sectional ◽

Disaster Training

Background and purpose: Disaster preparedness is crucial for health workers in order to provide relief to communities affected by disasters quickly and precisely. However currently there are only few health workers who are prepared to face disasters. This study aims to determine the association between knowledge, perception, participation in training and experience in disaster management with disaster preparedness in health workers.Methods: A cross sectional survey was conducted among health workers at Petang and Abiansemal public health centres (PHCs). Of the six PHCs, four were randomly selected consisting of one PHC in Petang Sub-district and three PHCs in Abiansemal Sub-district. All health workers (271 people) in the four PHCs were selected as respondents. Individual face-to-face interviews were conducted by the first author during April 2018 in the workplaces of each respondent using a pre-tested questionnaire. Data collected consisted of socio-demographic characteristics, knowledge, perceptions, participation in training, experiences in disaster management and disaster preparedness. Questions consisted of three components namely knowledge (12 items), perception (32 items) and disaster preparedness (25 items). Bivariate analysis was conducted with chi square test and multivariate analysis with binary logistic regression to determine the association between knowledge, perception, participation in training and experience in disaster management with disaster preparedness.Results: The results showed that 70.9% of respondents had attended disaster training, 40.6% had good knowledge, 24.7% had participated in disaster management and 49.1% had a high level of disaster preparedness. The variables significantly associated with disaster preparedness were perceptions (AOR=6.40; 95%CI: 3.71-10.99) and participation in disaster training (AOR=2.68; 95%CI: 1.44-4.97).Conclusion: Perception and participation in training are significantly associated with disaster preparedness. Continuous training is needed to increase disaster preparedness among health workers.

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