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1.
Int J Equity Health ; 23(1): 112, 2024 May 31.
Article En | MEDLINE | ID: mdl-38822383

BACKGROUND: Inequities in access to human papillomavirus (HPV) vaccine are becoming a growing critical issue globally. Few studies investigate the factors determining HPV vaccine uptake disparities when vaccine supply is constrained, especially in low- and middle-income countries. The aim of this study was to investigate inequities of HPV vaccination and related factors under the constrained vaccine supply in China. METHODS: A cross-sectional survey was conducted in a developed eastern coastal province and a developing western one in China between November and December 2022. Employing multistage stratified cluster random sampling, the study collected data from parents of children aged 9-14. Mixed-effects logistic regression models with school units as random effects were used for analysis. RESULTS: From 4,127 eligible parents (as vaccine decision makers for girls), 1,346 (32.6%) intended to vaccinate their daughters against HPV, of which 836 (62.1%) attempted to schedule a vaccination appointment. Only 16.4% succeeded in booking an appointment. More than half of the intended parents expected the imported 9-valent HPV vaccine. There were significant disparities in HPV vaccine awareness, intention, and vaccination behavior across educational, income, geographic, ethnic, gender, and health literacy levels. Vaccine awareness and intentions were higher among parents with higher socioeconomic status; however, girls from lower socioeconomic families were more likely to receive the HPV vaccine and had a higher domestically produced vaccination rate. Significant disparities exist in vaccination intentions and actual vaccination behaviors, primarily due to large supply constraints of the HPV vaccine. CONCLUSIONS: Sustained health education campaigns are needed to raise awareness of the HPV vaccine, improve health literacy, and decrease over-preference for the 9-valent HPV vaccine. A mother's HPV vaccination behavior was positively associated with increased intention and actual vaccination behavior for her daughter. This study advocates for complementary cervical cancer prevention programs targeting both mothers and daughters.


Papillomavirus Infections , Papillomavirus Vaccines , Humans , Papillomavirus Vaccines/therapeutic use , Papillomavirus Vaccines/administration & dosage , China , Female , Child , Cross-Sectional Studies , Adolescent , Male , Papillomavirus Infections/prevention & control , Vaccination/statistics & numerical data , Vaccination/psychology , Health Knowledge, Attitudes, Practice , Adult , Healthcare Disparities/statistics & numerical data , Parents/psychology , Socioeconomic Factors , Patient Acceptance of Health Care/statistics & numerical data , Patient Acceptance of Health Care/psychology , Human Papillomavirus Viruses
2.
BMC Womens Health ; 24(1): 317, 2024 Jun 01.
Article En | MEDLINE | ID: mdl-38824536

BACKGROUND: Inequalities in modern contraceptive use among women in low-income countries remain a major public health challenge. Eliminating or reducing the inequalities in modern contraceptive use among women could accelerate the achievement of Sustainable Development Goals, Targets 3.7 & 5.6. Thus, this study examined the inequality gaps in modern contraceptive use and associated factors among women of reproductive age in Nigeria between 2003 and 2018. METHODS: This study employed the World Health Organisation's Health Equity Assessment Toolkit to analyse the 2003 and 2018 Nigeria Demographic Health Surveys. Modern contraceptive use was aggregated using five equity stratifiers: age, economic status, educational level, place, and region of residence among women of reproductive aged 15 to 49, with a sample size of 5,336 and 29,090 for 2003 and 2018, respectively. Inequality was measured in this study using difference (D), ratio (R), population-attributable risk (PAR), and a population-attributable fraction (PAF). RESULTS: The study shows an increase in modern contraceptive use among women of reproductive age in Nigeria from 8.25% in 2003 to 12.01% in 2018, with the use being more prominent among women of reproductive age 20-49 and those in the richest economic quintile. In both surveys, women with primary education showed the most upward increase in modern contraceptive use. Women residing in the urban areas also show an upward use of modern contraceptives use. The study further highlights inequality gaps, with age being a substantial factor, while economic status and sub-national regions showed mild to marginal inequality gaps. Finally, the educational level of women of reproductive age in Nigeria significantly shows inequality in modern contraceptive use, with a PAF of 129.11 in 2003 and 65.39 in 2018. CONCLUSION: The inequality gap in modern contraceptive use among women of reproductive age in Nigeria between 2003 and 2018 reported in this study includes age, education, wealth quintile, residence, and region-related inequalities. The study highlights the need for policies and programmes that target the groups with low use of modern contraceptives to promote equity in family planning services.


Contraception Behavior , Socioeconomic Factors , Humans , Female , Nigeria , Adult , Adolescent , Young Adult , Contraception Behavior/statistics & numerical data , Contraception Behavior/trends , Middle Aged , Contraception/statistics & numerical data , Contraception/methods , Family Planning Services/statistics & numerical data , Educational Status
3.
BMC Public Health ; 24(1): 1476, 2024 Jun 01.
Article En | MEDLINE | ID: mdl-38824543

INTRODUCTION: Intimate partner violence is a human rights violation that often involves violence against women, which appears to be the most prevalent type of abuse. Intimate partner violence is a major global public health issue that includes physical, emotional, and sexual violence. The prevalence of intimate partner violence in Africa is high. The burden of intimate partner violence among reproductive-age women is high in Kenya. Therefore, the main aim of this study is to determine the associated factors of intimate partner violence among reproductive-age women at the individual and community level from the recent Demographic and Health Survey (DHS) 2022 data of Kenya. METHODS: The Kenya National Demographic and Health Survey data of 2022 was used for this study. The overall sample size for this study was 14,612, which focused on women aged 15 to 49 years who had ever been partnered and responded to the domestic violence module. Multilevel logistic regression models to determine the prevalence and associated factors at the individual and community level with intimate partner violence with a 95% Confidence Interval (CI) and Adjusted Odds Ratio (AOR). RESULT: The overall prevalence of intimate partner violence was 41.1% with a 95% CI (40.07%, 42.60. Male-headed households, poorest and middle wealth status, partner alcohol use, separated/widowed current marital status, and low education of women were statistically significantly associated with intimate partner violence at the individual level variables in this study. CONCLUSIONS: The prevalence of intimate partner violence was high. Educating women, reducing partner alcohol use, and improving the economic status of women, were crucial in mitigating the burden of intimate partner violence. The intimate partners are supposed to respect the rights of women.


Health Surveys , Intimate Partner Violence , Multilevel Analysis , Humans , Female , Kenya/epidemiology , Adult , Intimate Partner Violence/statistics & numerical data , Adolescent , Young Adult , Middle Aged , Prevalence , Risk Factors , Socioeconomic Factors , Sociodemographic Factors
4.
Clin Interv Aging ; 19: 971-979, 2024.
Article En | MEDLINE | ID: mdl-38827238

Purpose: To analyse factors affecting the ability to use the digital asthma monitoring application Mask-Air® in old-age individuals living in inland Portugal. Patients and Methods: In this observational study, patients with medically confirmed asthma who agreed to participate were interviewed and subdivided into Non-users Group: those who could not use the application and Users Group: those who could. Sociodemographic and psychological data, comorbidities, and asthma status were compared between groups. Assessment of reasons for refusal was based on a 6-item questionnaire. Results: Among the 72 sequentially recruited patients (mean age±SD 73.26±5.43 yrs; 61 women; 11 men), 44 (61.1%; mean age±SD 74.64±5.68 yrs; 38 women; 6 men)) were included in Non-users Group and 28 (38.9%; mean age±SD 71.11±4.26 yrs; 23 women; 5 men) in Users Group. Non-users Group patients were significantly older, had lower socioeconomic level, and more frequently had severe asthma (25% vs 3.6%; Odds ratio=0.08 (95% CI=0.01-0.81; p=0.033)) and diabetes (32.6% vs 7.4%; Odds ratio=0.17 (95% CI=0.03-0.80; p=0.025)) than Users Group. The main reasons for not using the App were "Lack of required hardware" (n=35) and "Digital illiteracy" (n=26), but lack of interest to use the App among those who had conditions to use it was uncommon. Conclusion: Most old-age asthmatics living in Beira Interior either lack a smartphone or digital skills, which are significant obstacles to implementing app-based monitoring studies.


This study was done to see whether it was possible to use a mobile phone application (App) to help old-age asthmatics living in inner Central Portugal better monitor and self-manage their disease. The researchers interviewed a group of 72 patients with proven asthma who agreed to participate in the study. This group was subdivided into two subgroups: Non-users Group (44 patients) included those who could not use the App because they did not have a smartphone; Users Group (28 patients) included those who had all the conditions to use the App. Patients were helped to download the App (called MASK-Air), were given a thorough explanation about it, and about how it should be used on a daily basis to monitor their asthma symptoms. The researchers found that patients in Non-users Group were significantly older, had worse socioeconomic conditions, and more often had severe asthma and diabetes. They also discovered that the main reasons for not using the App were lack of a smartphone and not knowing how to use a smartphone. These results show that lacking a smartphone and not knowing how to use digital tools are frequent situations in old-age asthmatics living in inner Central Portugal, and these may be obstacles for patients in monitoring their own asthma symptoms.


Asthma , Humans , Male , Female , Portugal , Aged , Mobile Applications , Aged, 80 and over , Surveys and Questionnaires , Smartphone , Comorbidity , Socioeconomic Factors
5.
Front Public Health ; 12: 1305458, 2024.
Article En | MEDLINE | ID: mdl-38827604

Background: Healthcare service utilization is unequal among different subpopulations in low-income countries. For healthcare access and utilization of healthcare services with partial or full support, households are recommended to be enrolled in a community-based health insurance system (CBHIS). However, many households in low-income countries incur catastrophic health expenditure. This study aimed to assess the spatial distribution and factors associated with households' enrollment level in CBHIS in Ethiopia. Methods: A cross-sectional study design with two-stage sampling techniques was used. The 2019 Ethiopian Mini Demographic and Health Survey (EMDHS) data were used. STATA 15 software and Microsoft Office Excel were used for data management. ArcMap 10.7 and SaTScan 9.5 software were used for geographically weighted regression analysis and mapping the results. A multilevel fixed-effect regression was used to assess the association of variables. A variable with a p < 0.05 was considered significant with a 95% confidence interval. Results: Nearly three out of 10 (28.6%) households were enrolled in a CBHIS. The spatial distribution of households' enrollment in the health insurance system was not random, and households in the Amhara and Tigray regions had good enrollment in community-based health insurance. A total of 126 significant clusters were detected, and households in the primary clusters were more likely to be enrolled in CBHIS. Primary education (AOR: 1.21, 95% CI: 1.05, 1.31), age of the head of the household >35 years (AOR: 2.47, 95% CI: 2.04, 3.02), poor wealth status (AOR: 0.31, 95% CI: 0.21, 1.31), media exposure (AOR: 1.35, 95% CI: 1.02, 2.27), and residing in Afar (AOR: 0.01, 95% CI: 0.003, 0.03), Gambela (AOR: 0.03, 95% CI: 0.01, 0.08), Harari (AOR: 0.06, 95% CI: 0.02, 0.18), and Dire Dawa (AOR: 0.02, 95% CI: 0.01, 0.06) regions were significant factors for households' enrollment in CBHIS. The secondary education status of household heads, poor wealth status, and media exposure had stationary significant positive and negative effects on the enrollment of households in CBHIS across the geographical areas of the country. Conclusion: The majority of households did not enroll in the CBHIS. Effective CBHIS frameworks and packages are required to improve the households' enrollment level. Financial support and subsidizing the premiums are also critical to enhancing households' enrollment in CBHIS.


Community-Based Health Insurance , Family Characteristics , Humans , Ethiopia , Cross-Sectional Studies , Female , Male , Adult , Community-Based Health Insurance/statistics & numerical data , Spatial Analysis , Middle Aged , Health Services Accessibility/statistics & numerical data , Socioeconomic Factors , Patient Acceptance of Health Care/statistics & numerical data
6.
Front Public Health ; 12: 1389765, 2024.
Article En | MEDLINE | ID: mdl-38827617

Background: While health inequality has been the focus of past scholarly discussions, COVID-19's outbreak and spread have provided a new arena for discussing health inequality, particularly in the context of urban-rural disparities in China. This paper explores the impact of COVID-19 on urban-rural health inequality, and the roles played by socioeconomic status and social capital. Methods: A cross-sectional observational collected data on demographics, mental health, socioeconomic status, and social capital. An online survey was administered from August 27 to August 30, 2020, and, 1936 valid samples were received. Mental health was measured using the Brief Symptom Inventory (BSI-18). This study applied the ordinary least squares regression (OLS) model, and data analysis was performed using STATA. Results: There were 1936 participants, with an equal distribution of genders. Multiple regression analysis showed that the mental health levels of rural youth were superior to those of urban youth (p = 0.049), especially when the epidemic was not severe (p = 0.013). Socioeconomic status had a significant positive promotion effect on mental health (p = 0.008), but the interaction effect between socioeconomic status and the urban-rural divide indicated that the promotion effect of socioeconomic status on the mental health of urban youth was greater than that of rural youth (p = 0.04). Social capital had a significant positive promotion effect on mental health (p = 0.000), and the interaction effect indicated that this promoting effect did not differ between urban and rural areas (p > 0.05).


COVID-19 , Mental Health , Rural Population , Social Capital , Urban Population , Humans , China/epidemiology , Male , Female , COVID-19/epidemiology , COVID-19/psychology , Cross-Sectional Studies , Rural Population/statistics & numerical data , Adolescent , Urban Population/statistics & numerical data , Mental Health/statistics & numerical data , Young Adult , Surveys and Questionnaires , Health Status Disparities , Adult , Social Class , Socioeconomic Factors
7.
Front Public Health ; 12: 1375106, 2024.
Article En | MEDLINE | ID: mdl-38827624

Introduction: Depressive symptoms are often experienced by patients with arthritis and are correlated with poor health outcomes. However, the association between depressive symptoms and multidimensional factors (sociodemographic characteristics, health conditions, health behaviors, and social support) among older patients with arthritis in China remains poorly understood. This study aimed to explore the prevalence of depressive symptoms in older patients with arthritis in eastern China and identify the associated factors. Methods: We analyzed data of 1,081 older patients with arthritis using secondary data from 2014 to 2020 from a community-based ongoing study initiated in 2014 in eastern China. The prevalence of depressive symptoms was calculated, and univariate and multilevel logistic regression analyses were used to identify the associated factors. Results: The mean age of older patients with arthritis was 69.16 ± 7.13 years; 42.92% were men and 57.08% were women. The prevalence of depressive symptoms in older patients with arthritis was 14.99% (95% confidence interval: 12.91-17.26%), about 1.8 times higher than that in older adults without arthritis (8.49%, p < 0.001). Multilevel logistic regression identified perception of poor economic status (odds ratio [OR] = 5.52, p < 0.001), multimorbidity (OR = 1.96, p = 0.001), limitations in activities of daily living (OR = 2.36, p = 0.004), and living alone (OR = 3.13, p = 0.026) as factors positively associated with depressive symptoms. Patients diagnosed with arthritis at an older age had lower odds of experiencing depressive symptoms (OR = 0.67, p = 0.046). Conclusion: Screening for depressive symptoms is essential among older patients with arthritis, especially those who perceive themselves as having a poor economic status, are diagnosed at an earlier age, have multimorbidity, have limitations in activities of daily living, and live alone. The associations of age at arthritis diagnosis and dietary behaviors with depressive symptoms require further research.


Arthritis , Depression , Humans , Male , Female , Aged , China/epidemiology , Arthritis/epidemiology , Depression/epidemiology , Prevalence , Middle Aged , Risk Factors , Cross-Sectional Studies , Social Support , Aged, 80 and over , Logistic Models , Activities of Daily Living , Socioeconomic Factors
8.
J Health Care Poor Underserved ; 35(2): 532-544, 2024.
Article En | MEDLINE | ID: mdl-38828580

The Department of Veterans Affairs provides a shallow subsidy (i.e., subsidizing 50% of an individual's rent for two years) to Veterans experiencing housing instability. We sought to describe the characteristics of Veterans who received these subsidies. Methods. We conducted a retrospective cohort study of Veterans between 10/2019-9/2021. We identified Veteran-level characteristics associated with receiving a shallow subsidy using a multivariable two-part regression model. We also conducted qualitative interviews to identify how shallow subsidies are allocated. Results Black race, higher income, more education, and older age were positively associated with receiving a shallow subsidy; previous homelessness, prior VA outpatient cost, and participating in permanent supportive housing were negatively associated with receiving a shallow subsidy. Interviews revealed that income was the most influential determinant of whether to give shallow subsidies. Discussion Our mixed methods findings were consistent, indicating that socioeconomic stability is an important driver of shallow subsidy allocation decisions.


United States Department of Veterans Affairs , Veterans , Humans , Veterans/statistics & numerical data , Veterans/psychology , United States , Male , Middle Aged , Retrospective Studies , Female , Aged , Housing/economics , Adult , Socioeconomic Factors , Ill-Housed Persons
9.
Reprod Health ; 21(1): 72, 2024 May 31.
Article En | MEDLINE | ID: mdl-38822372

INTRODUCTION: Despite the advancement in sexual and reproductive healthcare services and several public health measures aimed at controlling fertility rates, countries in sub-Saharan Africa (SSA) still experience higher adolescent fertility rates than other low-and middle-income countries. This study examined the disparities in adolescent fertility in 39 countries in SSA, focusing on socioeconomic and residence-based dimensions. METHODS: This study involved a secondary analysis of data obtained from 39 recent Demographic and Health Surveys conducted in SSA. The measures of difference (D), ratio (R), population attributable fraction (PAF), and population attributable risk (PAR) were estimated using the Health Equity Assessment Tool (HEAT) software version 3.1 developed by the World Health Organization. The measures: D, R, PAF, and PAR were used to examine the inequalities in adolescent fertility across the socioeconomic and residence-based dimensions. RESULTS: Out of the 39 countries included in the study, Guinea (D=27.70), Niger (D=27.50), Nigeria (D=23.90), and Côte d'Ivoire (D=23.60) exhibited the most significant residence-based inequalities in the rate of adolescent fertility, with the higher rate observed among adolescents in rural areas. Rwanda was the sole country that showed a slight inclination towards rural inequality in terms of the rate of adolescent fertility, with a value of D = -0.80. The burden of adolescent fertility was disproportionately higher among young women with low economic status across all the countries, exacerbating wealth-based inequities. The countries with the largest absolute discrepancies were Nigeria (D=44.70), Madagascar (D=41.10), Guinea (D=41.00), and Cameroon (D=40.20). We found significant disparities in educational attainment contributing to unequal inequalities in adolescent fertility, particularly among young women who lack access to formal education. Countries such as Madagascar (D=59.50), Chad (D=55.30), Cameroon (D=54.60), and Zimbabwe (D=50.30) had the most significant absolute disparities. CONCLUSION: This study revealed that young women residing in rural areas, those in households with low economic status and those with limited educational opportunities experience a disproportionately high burden of adolescent fertility across the 39 countries in SSA. The current findings offer valuable information to governmental entities at all levels regarding the need to ensure the provision of equitable, accessible, and dependable sexual and reproductive health services to the populace, particularly for young women. Therefore, the various stakeholders need to enhance the effectiveness of health policies and legislation pertaining to adolescent women living in rural areas, those from economically disadvantaged households, and those with limited or no access to formal education. Such interventions could potentially reduce adolescent fertility rates and mitigate the adverse maternal and child outcomes associated with high adolescent fertility in SSA.


Adolescent fertility is a major health problem for many developing countries, especially those in sub-Saharan Africa (SSA). Although several sexual and reproductive health initiatives have been introduced in these countries, the number of births among adolescents continues to be high. The present study looked at the socioeconomic and geographical differences in adolescent fertility across 39 countries in SSA using data from the Demographic and Health Surveys embedded into the World Health Organization's Health Equity Assessment Toolkit (WHO HEAT) software. The study found that in countries like Guinea, Niger, Nigeria, and Côte d'Ivoire, the rates of adolescent fertility varied a lot, with higher rates in rural areas. Generally, poorer young women were more likely to have babies, which made the gap between the rich and the poor even wider. Nigeria, Madagascar, Guinea, and Cameroon had the biggest differences. Education also played a role. In countries like Madagascar, Chad, Cameroon, and Zimbabwe, young women who did not go to school (had no education) were more likely to have children as teenagers.  The study showed that in all 39 countries, young women living in rural areas, those who were poorer and those who did not go to school (had no education) faced a bigger problem with adolescent fertility. The study suggests that if people who make health policies pay more attention to teenage girls in the rural areas, those who are poor and do not have much education, they could make a significant difference in reducing adolescent fertility.


Birth Rate , Pregnancy in Adolescence , Socioeconomic Factors , Humans , Adolescent , Female , Birth Rate/trends , Pregnancy in Adolescence/statistics & numerical data , Male , Young Adult , Pregnancy , Africa South of the Sahara , Rural Population/statistics & numerical data , Fertility
10.
Niger Postgrad Med J ; 31(2): 102-110, 2024 Apr 01.
Article En | MEDLINE | ID: mdl-38826013

INTRODUCTION: Maternal mortality is a major public health problem. Birth preparedness and complication readiness (BP/CR) constitute a veritable strategy for reducing maternal mortality, yet adoption is low with wide urban-rural discrepancies. OBJECTIVES: The objectives of this study were to compare the practice of BP/CR amongst women in rural and urban areas of Rivers State, Nigeria, and determine the individual-level predictors. METHODS: A facility-based cross-sectional comparative study using a multistage sampling method was employed in the selection of 924 (462 urban and 462 rural) women who gave birth within the last 12 months in urban and rural local government areas. Outcome measures were birth preparedness (defined as undergoing antenatal care (ANC) with a skilled birth provider, voluntary counselling and testing for HIV and saving money for childbirth at an agreed place of delivery with a skilled birth attendant) and complication readiness (defined as being knowledgeable about danger signs, identifying decision-maker, a nearest functional institution in case of emergency, emergency means of transport and funds and a suitable blood donor). Bivariate and multivariate analyses were performed at P < 0.05. RESULTS: The proportion of women who were birth prepared was significantly higher amongst women in urban areas (85.9%; 95% confidence interval [CI]: 82.7%-89.1%) versus rural counterparts (56.7%; 95% CI: 52.2%-61.2%), whereas the proportion of complication readiness was significantly higher in rural (31.8%; 95% CI: 27.6%-36.1%) than urban (18.2%; 95% CI: 15.2%-47.8%) groups. Predictors were possession of secondary educational level or higher (adjusted odds ratio [AOR]: 4.9; 95% CI: 1.5-15.5), being employed (AOR: 2.7; 95% CI: 1.5-15.0) and ANC attendance (AOR: 29.2; 95% CI: 8.8-96.9) in urban, whereas amongst the rural, it was ANC attendance (AOR: 20.0; 95% CI: 9.1-43.7). CONCLUSION: In urban areas, more women were birth prepared while fewer women were complication ready compared to the women in rural areas, with predictors such as education, employment and ANC attendance in urban areas and only ANC attendance in rural areas. Measures to promote ANC uptake, maternal education and empowerment could promote BP/CR.


Delivery, Obstetric , Prenatal Care , Rural Population , Urban Population , Humans , Female , Nigeria , Cross-Sectional Studies , Rural Population/statistics & numerical data , Adult , Urban Population/statistics & numerical data , Pregnancy , Prenatal Care/statistics & numerical data , Young Adult , Delivery, Obstetric/statistics & numerical data , Health Knowledge, Attitudes, Practice , Maternal Mortality , Obstetric Labor Complications/epidemiology , Adolescent , Socioeconomic Factors , Parturition/psychology , Maternal Health Services/statistics & numerical data
11.
Niger Postgrad Med J ; 31(2): 118-129, 2024 Apr 01.
Article En | MEDLINE | ID: mdl-38826015

BACKGROUND: Children develop dynamically, and when a child fails to reach age-appropriate developmental milestones compared to their peers, it is considered a developmental delay. In developing nations like Nigeria, several demographics, socioeconomic, childcare and external factors may influence the highly individualised process. This study assessed the prevalence and pattern of developmental delay, across Nigeria's geopolitical zones including identified factors associated with developmental delay, providing insight for appropriate interventions to prevent disability in affected children. METHODS: This was a secondary analysis of data from the Multiple Indicator Cluster Survey (MICS), which was carried out in rounds 4 (2011) and 5 (2016/2017). Every 5 years, the UNICEF-supported MICS cross-sectional household survey is carried out using the cluster sampling method. A semi-structured, questionnaire administered by the interviewer was used to obtain individual and household-level data. This study comprised a weighted sample of 17,373 under-5 children who had complete data from both survey rounds on characteristics deemed significant for the study. Data were analysed using SPSS version 23. Using the Chi-square test and multivariate binomial logistic regression, factors linked to developmental delay were identified, with 95% confidence intervals (CIs) provided and the significance level set at 5%. RESULTS: The mean age and sex distribution of the children surveyed in both rounds was comparable, with a male preponderance of 51.2% in round 4 and 50.4% in round 5. In both round 4 (51.2%) and round 5 (49.0%), the Northeast zone had the highest prevalence of overall developmental delay while the least prevalence was seen in the Southwest zone (20.3%) and the Southeast zone (14.7%) in round 4 and round 5, respectively. Across all the zones, delay in the literacy-numeracy domain of development was the most prevalent, with the highest (91.3% and 86.7%, respectively) in the Northeast zone during both rounds of the survey. Delay in the physical domain was, however, the least prevalent form of developmental delay across the zones, with the least in South South (20.6%) and Southeast (5.4%) in rounds 4 and 5. The odds of developmental delay were 1.5 and 1.7 times higher amongst children 4 years old than 3 years old in both rounds of the survey. The likelihood of having developmental delay was found to increase with the severity of stunting amongst the children during both rounds of the survey (odds ratio [OR] =1.5; 95% CI = 1.20-1.78 in round 4 and OR = 1.4; 95% CI = 1.16-1.58 in round 5). Children from the poorest wealth index had higher odds of developmental delay (OR = 5.8; 95% CI = 4.92-6.82 in round 4 and OR = 2.5; 95% CI = 1.99-3.10 in round 5). CONCLUSION: The prevalence of developmental delay is high across all zones; however, the burden varies amongst them. The age of the child, nutritional status and wealth index were indicators of developmental delay in Nigerian under-5 children. This underscores the need for surveillance and interventions focussed on improving child literacy, nutritional status and household standard of living across the zones.


Developmental Disabilities , Humans , Developmental Disabilities/epidemiology , Nigeria/epidemiology , Child, Preschool , Male , Female , Prevalence , Cross-Sectional Studies , Infant , Risk Factors , Socioeconomic Factors , Surveys and Questionnaires
12.
J Health Care Poor Underserved ; 35(2): 391-424, 2024.
Article En | MEDLINE | ID: mdl-38828573

Socio-demographic inequities in health treatment and outcomes are not new. However, the COVID-19 pandemic presented new opportunities to examine and address biases. This article describes a scoping review of 170 papers published prior to the onset of global vaccinations and treatment (December 2021). We report differentiated COVID-19-related patient outcomes for people with various socio-demographic characteristics, including the need for intubation and ventilation, intensive care unit admission, discharge to hospice care, and mortality. Using the PROGRESS-Plus framework, we determined that the most researched socio-demographic factor was race/ethnicity/culture/language. Members of minoritized racial and ethnic groups tended to have worse COVID-19-related patient outcomes; more research is needed about other categories of social disadvantage, given the scarcity of literature on these factors at the time of the review. It is only by researching and addressing the causes of social disadvantage that we can avoid such injustice in future public health crises.


COVID-19 , Humans , COVID-19/epidemiology , COVID-19/ethnology , Sociodemographic Factors , Socioeconomic Factors , Health Inequities
13.
Codas ; 36(4): e20220319, 2024.
Article Pt, En | MEDLINE | ID: mdl-38836826

PURPOSE: To analyze the correlation between swallowing, language and cognition performance and describe the sociodemographic data of elderly people without previous neurological disorders. METHODS: Analytical cross-sectional study, with non-probabilistic sample for convenience and data collection by telecall. The aspiration screening test (Yale Swallow Protocol) was used to identify and exclude elderly people at risk of aspiration. Then, sociodemographic data were collected, and instruments were applied: activity of daily living (IADLs), risk of dysphagia (EAT-10), cognitive screening (Mini Mental State Examination - MMSE) and language (Montreal-Toulouse Language Battery - MTL-Brazil). RESULTS: The sample consisted of 32 elderly people from the Federal District, with a mean age of 69.00±7.73 years and schooling of 10.00±5.60 years. The scores on the EAT-10, MMSE and MTL Battery instruments were altered in four, 22 and 26 elderly, respectively, indicating, in this case, risk of dysphagia, suggestion of cognitive alteration and language alteration. Regarding food, of the total sample, 13 seniors (40%) complained of needing modified food, as well as 10 of these also obtained MMSE scores suggestive of cognitive alteration. When comparing the groups with and without complaints and/or risk of dysphagia, there was no statistically significant difference in relation to sociodemographic, cognitive and language variables. Binary logistic regression models also showed no statistically significant results. CONCLUSION: The present study, when correlating the swallowing, language and cognition findings, did not obtain statistically significant results. It was observed that the elderly with swallowing complaints also showed results suggestive of cognitive and language changes in the tests performed, but there was no statistically significant difference in relation to the elderly without complaints or swallowing changes.


OBJETIVO: Analisar a correlação entre o desempenho de deglutição, linguagem e cognição e descrever os dados sociodemográficos de idosos sem alterações neurológicas prévias. MÉTODO: Estudo transversal analítico, com amostra não-probabilística por conveniência e coleta de dados por telechamada. Foi aplicado o teste de triagem de broncoaspiração (Yale Swallow Protocol) para identificação e exclusão dos idosos com risco de broncoaspiração. Em seguida, realizou-se coleta de dados sociodemográficos e aplicação dos instrumentos de: atividade de vida diária (AIVDs), risco de disfagia (EAT-10), rastreio cognitivo (Mini Exame do Estado Mental ­ MEEM) e linguagem (Bateria Montreal-Toulouse de Linguagem ­ MTL-Brasil). RESULTADOS: A amostra foi composta por 32 idosos do Distrito Federal, com média de idade de 69,00±7,73 anos e de escolaridade de 10,00±5,60 anos. Os escores nos instrumentos EAT-10, MEEM e Bateria MTL apresentaram-se alterados em quatro, 22 e 26 idosos, respectivamente, indicando, nesse caso, risco de disfagia, sugestão de alteração cognitiva e alteração da linguagem. Sobre a alimentação, do total da amostra, 13 idosos (40%) apresentaram queixa de necessidade de comida modificada, bem como 10 desses também obtiveram escore no MEEM sugestivo de alteração cognitiva. Ao comparar os grupos com e sem queixa e/ou risco de disfagia, não houve diferença estatisticamente significante em relação às variáveis sociodemográficas, cognitivas e de linguagem. Os modelos de regressão logística binária também evidenciaram resultados sem significância estatística. CONCLUSÃO: O presente estudo, ao correlacionar os achados de deglutição, linguagem e cognição, não obteve resultados estatisticamente significantes. Observou-se que os idosos com queixa de deglutição também apresentaram resultados sugestivos de alteração cognitiva e de linguagem nos testes realizados, mas não houve diferença estatisticamente significante em relação aos idosos sem queixa ou alteração de deglutição.


Cognition , Deglutition Disorders , Socioeconomic Factors , Humans , Cross-Sectional Studies , Aged , Female , Male , Deglutition Disorders/diagnosis , Deglutition Disorders/physiopathology , Cognition/physiology , Brazil , Deglutition/physiology , Aged, 80 and over , Middle Aged , Language , Activities of Daily Living , Mental Status and Dementia Tests , Geriatric Assessment/methods , Neuropsychological Tests
14.
Wei Sheng Yan Jiu ; 53(3): 403-409, 2024 May.
Article Zh | MEDLINE | ID: mdl-38839581

OBJECTIVE: To analyze food carbon footprint and its socio-demographic disparities among adults in China. METHODS: A total of 12 777 adults aged 18 years and above from the China Health and Nutrition Survey in 2018 who have completed dietary and socio-demographic data were analyzed. The information of food intake were collected by 24 h recalls combined with the weighing of household seasonings. Food consumption was converted into energy intake by the China Food Composition Table. Carbon footprint of 26 food groups were calculated by the food carbon footprint database based on life-cycle assessment(LCA), multinomial logit model was used to analyze the association of socio-demographic factors and food carbon footprint. RESULTS: Average food carbon footprint were decreased with increasing age while increased with increasing income and education levels, and was higher among male than that among female, was higher among urban residents than that among rural residents, was higher in the south than that in the north. Multinomial logit analysis showed that compared with people aged 18-44, the likelihood of occurring high carbon footprint in 60y and above group were 29%(OR=0.71, 95%CI 0.61-0.83) lower than that occurring low carbon footprint. Women were 11%(OR=0.89, 95%CI 0.81-0.99) and 25%(OR=0.75, 95%CI 0.67-0.84) less likely to appear medium and high carbon footprint than low carbon footprint, compared with their male counterparts. In comparison to people living in cities, rural dwellers were 24%(OR=0.76, 95%CI 0.69-0.85) and 38%(OR=0.62, 95%CI 0.55-0.70) less likely to appear medium and high carbon footprint than low carbon footprint. People in the south were 3.89 times(95%CI 3.52-4.30) and 11.35 times(95%CI 10.01-12.88) more likely to occur medium and high carbon footprint than low carbon footprint, compared with people in the north. Participants were more likely to occur medium carbon footprint and high carbon footprint with the increasing income level(OR>1), and were more likely to occur high carbon footprint with the increasing education level(OR>1). CONCLUSION: The food carbon footprint of adults in China in 2018 show different socio-demographic disparities, gender, income and education level are significant factors.


Carbon Footprint , Nutrition Surveys , Rural Population , Socioeconomic Factors , Humans , China , Male , Adult , Female , Carbon Footprint/statistics & numerical data , Middle Aged , Adolescent , Young Adult , Rural Population/statistics & numerical data , Aged , Diet/statistics & numerical data , Urban Population/statistics & numerical data , Food/statistics & numerical data , Sociodemographic Factors
15.
Indian J Public Health ; 68(1): 31-37, 2024 Jan 01.
Article En | MEDLINE | ID: mdl-38847630

BACKGROUND: Qualitative methods through lived experience narratives provide relevant sociocultural insights into healthy aging. OBJECTIVES: The aim of this qualitative study was to explore social and cultural perceptions of healthy aging from older adults (OAs), their next of kin, and those involved in providing services to OAs in Bengaluru, India. MATERIALS AND METHODS: We conducted in-depth interviews with 28 participants, all purposefully selected based on specific inclusion criteria, to get as varied a sample as possible. A pilot-tested, open-ended topic guide was used for every interview which was audio recorded with the permission of the respondent. Verbatim data were transcribed, reviewed for errors, and coded using NVivo 12 software and the framework analysis method of combining deductive and inductive codes. RESULTS: In total, 794 codes covering concepts of healthy aging, enablers and threats to healthy aging, and perspectives for the future were categorized into four themes supporting healthy aging, namely emotional well-being and a sense of purpose, family and social support, financial security, and health-care access. Each of these had a bearing on the OA's physical and mental health. Across socioeconomic groups, a sense of purpose at the level of the self, family, and society emerged as a key emotional sustainer. Social and economic deprivations were key threats to healthy aging and hence required social security and governmental interventions. CONCLUSION: Sociocultural economic factors are key to healthy physical and mental aging in the context of India. The same factor could be an enabler and in its absence a threat.


Healthy Aging , Interviews as Topic , Qualitative Research , Social Support , Humans , India , Female , Male , Healthy Aging/psychology , Aged , Middle Aged , Socioeconomic Factors , Health Services Accessibility , Aged, 80 and over , Culture
16.
Indian J Public Health ; 68(1): 44-49, 2024 Jan 01.
Article En | MEDLINE | ID: mdl-38847632

BACKGROUND: There is mixed evidence on the extent of association between the allocation of public revenue for healthcare and its indicators of need. OBJECTIVE: In this study, we examined the relationship between allocations through state health financing (SHF) and the Central Government with infant mortality. MATERIALS AND METHODS: District-wise infant mortality rate (IMR) was computed using National Family Health Survey-4 data. State-wise data for health budgets through SHF and National Health Mission (NHM, a Centrally Sponsored Scheme), were obtained for the year 2015-16. We used a multivariable analysis through generalized linear model method using identity-link function. RESULTS: We found per capita SHF (₹3169) to be more than 12 times that of public health spending per capita through NHM (₹261). IMR was lower in districts with higher SHF allocation, although statistically insignificant. The allocation through NHM was higher in districts with higher IMR, which is statistically significant. Every unit percentage increase in per capita net state domestic product and female literacy led to 0.31% and 0.54% decline, while a 1% increase in under-five diarrhoea prevalence led to 0.17% increase in IMR. CONCLUSION: The NHM has contributed to enhancing vertical equity in health-care financing. The States' need to be more responsive to the differences in districts while allocating health-care resources. There needs to be a focus on spending on social determinants, which should be the cornerstone for any universal health coverage strategy.


Infant Mortality , Humans , India , Cross-Sectional Studies , Infant , Infant Mortality/trends , Financing, Government/statistics & numerical data , Female , Health Expenditures/statistics & numerical data , Health Services Needs and Demand/economics , Public Expenditures , Male , Socioeconomic Factors
17.
Indian J Public Health ; 68(1): 50-54, 2024 Jan 01.
Article En | MEDLINE | ID: mdl-38847633

BACKGROUND: Several studies on noncommunicable diseases (NCDs) have been carried out worldwide, the basis of most of which is the identification of risk factors-modifiable (or behavioral) and metabolic. Majority of the NCDs are due to sociodemographic factors, lifestyle, and behavior, which can be prevented to a great extent. Thus, it is a health challenge and a necessity to identify such factors of NCDs. OBJECTIVES: The objective is to make a thorough systematic and comparative analysis of diverse machine learning (ML) classifiers and identify the best-performing model to study social determinants of NCDs. MATERIALS AND METHODS: We used data from the Longitudinal Ageing Study in India, and predicted the prevalence of NCDs based on a set of sociodemographic, lifestyle, and behavioral risk factors by conducting a comparative analysis among 25 different algorithms. RESULTS: Evaluating the performance metrics, the random forest model was found to be the most-suited method with 87.9% accuracy and hence chosen as the final model for the analysis. The model's performance was optimized by a hyper-parameter tuning process using grid-search with a 5-fold cross-validation strategy and results suggested that it was able to make accurate predictions on new instances. CONCLUSION: The epidemic of chronic illness cannot be completely addressed without comprehending the social determinants. With advancements in medical and health-care industry, ML has been applied to analyze diseases based on clinical parameters. This work is an attempt by the authors to explore and encourage the use of ML in the field of social epidemiology.


Machine Learning , Social Determinants of Health , Humans , India/epidemiology , Chronic Disease/epidemiology , Risk Factors , Female , Longitudinal Studies , Socioeconomic Factors , Life Style , Male , Noncommunicable Diseases/epidemiology , Sociodemographic Factors , Algorithms , Prevalence , Middle Aged , Aged
18.
Indian J Public Health ; 68(1): 26-30, 2024 Jan 01.
Article En | MEDLINE | ID: mdl-38847629

BACKGROUND: Violence against children within the family context is a global issue that has serious implications for children's well-being. In Indonesia, like the tip of an iceberg, this violence is often underreported. However, this issue is prevalent in many countries worldwide. It is estimated that up to 1 billion children aged 2-17 years experienced physical, sexual, and emotional violence in the past year. Most of this violence occurs within the family, and this trend is also apparent in Indonesia. OBJECTIVES: This research aims to describe the types, forms, and perpetrators of violence against children in Padang, Indonesia. MATERIALS AND METHODS: This study utilizes a descriptive design with a population of elementary school-age children in Padang City. The population consists of 16,747 individuals, with a margin of error of 3%. The sample size was determined using the Slovin formula, resulting in a sample of approximately 1000 individuals. Data were collected from October to December 2022 through two types of questionnaires, one describing respondent demographics and the other containing questions about the forms of violence perpetrated by parents. Data collection was facilitated by enumerators from elementary school teachers who had undergone training. RESULTS: The study involved 1200 participants, with 1000 providing complete data. The results showed that 95.1% of children had experienced violence within the family, including physical violence (94.60%), psychological violence (95.10%), sexual violence (22.10%), and social violence (31.60%). Mothers were the most common perpetrators (80%), followed by fathers (61.3%), grandfathers (14.8%), brothers (35.4%), and uncles (13.1%). CONCLUSION: This research underscores the alarming prevalence of violence against children within the family context in Padang. Addressing and preventing violence against children should be a priority to protect their rights and create a safe environment for their development.


Child Abuse , Humans , Indonesia/epidemiology , Child , Female , Male , Child, Preschool , Adolescent , Child Abuse/statistics & numerical data , Domestic Violence/statistics & numerical data , Surveys and Questionnaires , Socioeconomic Factors
19.
Indian J Public Health ; 68(1): 75-82, 2024 Jan 01.
Article En | MEDLINE | ID: mdl-38847637

BACKGROUND: Childhood malnutrition in India remains among the highest in the world. Adult alcohol consumption and severe malnutrition have increased among indigenous people in South India. However, the association between them is poorly understood. OBJECTIVES: We aimed to evaluate this association, which could help design better intervention strategies. METHODS: This case-control observational study was conducted in the Nilgiri district in South India. Cases included children aged 1-5 years with moderate malnutrition. Controls were defined as children in the same age group with normal weight-for-age. A questionnaire was used to collect data on demographics, socioeconomic status (SES), and parental education. The WHO Alcohol Use Disorders Identification Test (AUDIT) questionnaire was used to estimate parental alcohol use. Health-care workers collected data from within the community. RESULTS: The baseline demographics of the children in the control (n = 250) and case groups (n = 177) were similar. Paternal age and AUDIT scores were not different in the two groups. SES was lower in the malnourished group, while maternal education among cases was significantly lower. Maternal and paternal education were associated with childhood malnutrition (odds ratio [OR]: 0.728 [95% confidence interval (CI): 0.583-0.903] and OR: 0.753 [95% CI: 0.589-0.957], respectively). After adjustment for covariates, paternal alcohol use was associated with a higher risk of malnutrition (OR: 1.56 [95% CI: 1.00-2.47]), which SES partly mediated. CONCLUSION: Paternal alcohol consumption is associated with childhood malnutrition, partially mediated by lower SES. Furthermore, lower SES appeared to be strongly associated with paternal alcohol consumption.


Alcohol Drinking , Child Nutrition Disorders , Rural Population , Socioeconomic Factors , Humans , India/epidemiology , Male , Case-Control Studies , Alcohol Drinking/epidemiology , Female , Child, Preschool , Infant , Child Nutrition Disorders/epidemiology , Rural Population/statistics & numerical data , Adult , Fathers/statistics & numerical data , Risk Factors
20.
Indian J Public Health ; 68(1): 89-94, 2024 Jan 01.
Article En | MEDLINE | ID: mdl-38847639

BACKGROUND: The burden of wasting among under five children in India, has not reduced in the last decade. OBJECTIVES: We used child-level data from the latest nationally representative Comprehensive National Nutritional Survey (CNNS) to estimate the prevalence of wasting at the national and state level in India. METHODS: We explored the association of wasting with maternal, child and household factors using multivariable logistic regression for the age group of 0-5, 6-23 and 24-59 months. RESULTS: The overall prevalence of wasting was 17.3%, ranging from 5.8% to 29.1% across states, 23.3% in children 0-5 months, 19.6 % in children 6-23 months and 15.4 % in children 24-59 months of age. Higher birthweight i.e., every 100g increase (0-5 months aOR = 0.96, 6-23 months aOR = 0.94, 24-59 months aOR = 0.96), higher maternal BMI (0-5 months aOR = 0.51, 6-23 months aOR = 0.62, 24-59 months aOR = 0.67), increasing child age in months (0-5 months aOR = 0.84) and female sex of the child (24-59 months aOR = 0.82) was found to have significantly lower odds of wasting. The odds of wasting were significantly higher for poorest wealth quintile (0-5 months aOR = 1.99, 6-23 months aOR = 2.13), maternal unemployment (0-5 months aOR = 2.25), and lower levels of maternal education (6-23 months aOR = 1.74). CONCLUSIONS: Our analyses showed that burden of wasting continues to remain high in India. Preventive interventions must target reduction of low birthweight. Early identification and management of wasting should be done, especially during the first six months of life who are not part of current therapeutic feeding programme.


Nutrition Surveys , Socioeconomic Factors , Wasting Syndrome , Humans , India/epidemiology , Infant , Prevalence , Female , Male , Child, Preschool , Wasting Syndrome/epidemiology , Infant, Newborn , Risk Factors , Birth Weight , Sex Factors , Age Factors , Sociodemographic Factors
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