Determinants of Tobacco Use among Children of a Rural Village in India: An Exploratory Qualitative Study

Background: Tobacco is one of the leading causes of preventable deaths. It is both a major social and health problem. According to National Sample Survey Organization of Government of India about 20 million children of ages 10-14 are estimated to be tobacco-addicted. There are grave consequences of tobacco both socially and also on health thus it is of utmost importance to understand the factors leading to its use and to plan strategies to reduce its intake. However, the health implications of this social issue in a rural context have not been explored. Aims and Objective: this study makes an attempt to explore the health and social implications of tobacco usage by the children below the age of 14 years in hamlet. Materials and Methods:  The present study employed a qualitative study design. Data was collected using focus group discussion and in-depth interview of key informants. Thematic analysis for exploring the explicit and implicit meanings within the data was done. The themes which emerged were knowledge about tobacco and the various products available, children and parents’ tobacco use and habits, the health and social implication of tobacco use, reasons for tobacco use by the children. Results: It was found tobacco use by the children was very common in the community. Parent, peer pressure, sibling pressure were found to be playing important role in the initiation of tobacco habit by the child. Further illiteracy and lack of awareness was also lead to tobacco use among children. Conclusion: The study identifies education and awareness of parents about the ill-effects of tobacco play an important role as parents act as role model for their children, thus equal stress should be laid in improving the parental habits. Even raising the prices of tobacco products can help in controlling this habit.     

Public health facility quality and child immunization outcomes in rural India: A decomposition analysis

Universal coverage of routine childhood vaccines remains a challenge in many low- and middle-income countries (LMICs). In India, vaccination campaigns have increased full immunization coverage among 12–23 month old children from an estimated 62% in 2015–2016 to 76% in 2019–2020. Long-term improvements in coverage will likely require systemic changes to both the supply and demand sides of immunization programs. However, the effect of health system inputs on child vaccination outcomes remains poorly quantified in India. We examined the association between the quality of public health facilities and child vaccination outcomes in rural India using data from the nationally representative Integrated Child Health and Immunization Survey (2015–2016) which covered 1,346 public primary health sub-centers and 44,571 households. We constructed two indices of sub-center quality using multiple correspondence analysis: one related to the general health infrastructure quality and the other measuring vaccine service delivery. Using probit regression, we analyzed the relationship between vaccination outcomes in children under 2 years of age and sub-center quality, controlling for household socioeconomic characteristics. Additionally, we conducted Fairlie decomposition analysis by wealth group — bottom wealth quintile relative to the top four wealth quintiles— to examine factors contributing to gaps in immunization between rich and poor households. Infrastructure quality index was positively associated with completion of seven vaccination outcomes: full immunization, DPT-1 (first dose of diphtheria, pertussis, and tetanus), DPT-2, DPT-3, Bacillus Calmette–Guérin (BCG), hepatitis B (birth dose), and on-time vaccination (OTV). Vaccine service delivery index was positively associated with completion of measles vaccination. The distribution of infrastructure quality contributed to increased gaps in full immunization and OTV between rich and poor households, while greater proximity to vaccination site for poorer households reduced these gaps. Improved quality of health facilities, particularly facilities used by low-income households, may improve vaccination outcomes.     

Adolescence as a gateway to adult health outcomes

Adolescence has long been regarded as a transition from childhood to adulthood. More recently it is become a concern of those wishing to avoid adverse health outcomes during middle and late adulthood. Most of this effort has been focused on behavioural risk factors such as tobacco and excessive alcohol use, physical exercise habits, dietary habits, as well as sexual and injury-related behaviours. The concern is that these habits are established during adolescence, continue into adulthood, and come to constitute ongoing risk factors for adverse health outcomes during middle and late adulthood. There is good reason to criticize this approach. These behaviours are themselves shaped by adolescents’ living and working conditions and even then constitute a small proportion of the variance predicting adverse health outcomes during adulthood. More complex models of how adolescence serves as a gateway to adult health outcomes are presented. These are the socio-environmental, public policy, and political economy approaches. The argument is made that adolescence is a period during which public policy plays an especially important role in predicting future health outcomes. Yet, these public policies influence health all across the life span with adolescence providing only one of many important periods during which public policy shapes health prospects during middle and later adulthood. Ultimately one should consider a range of approaches ranging from the behavioural to the political to examine how adolescence serves as a gateway towards future adult prospects. An Adolescent Gateway Towards Adult Health Model is provided to assist in this process.     

Pain intensity is associated with both performance-based disability and self-reported disability in a sample of older adults attending primary health care centers

BackgroundOlder adults' function level can be used as a predictor of future detrimental events, such as disability, reliance on others, risk of institutionalization and likelihood of death. The assessment of function at the primary health care centers using self-reported and/or performance based measures is of prime importance.ObjectiveTo determine whether personal factors, pain, depression and physical activity are associated with self-reported and performance based disability for older adults aged ≥60 years attending primary health care centers, as measured by the WHO Disability Assessment Schedule 2.0 (WHODAS 2.0) and Short Physical Performance Battery (SPPB), respectively.MethodsParticipants (196 females and 55 males; mean age ± SD = 70.87 ± 7.76) had their pain, self-reported disability, performance, physical activity levels and depressive symptoms assessed. Regression analyses were performed with self-reported and performance-based disability as the dependent variable and age, sex, education, chronic conditions, depression, physical activity and pain characteristics as dependent variables.ResultsMean (SD) results for SPPB were 8.45 (2.86) and 20.06 (8.21) for WHODAS. Pain intensity, depression, pain frequency, number of chronic conditions and level of physical activity explained 44% of the self-reported disability variance. Pain intensity, age, level of physical activity, years of formal education and chronic conditions explained 37% of the performance variance. Pain intensity alone explained 27% and 18% of the self-reported and performance based disability, respectively.ConclusionFindings indicate that primary health care interventions should target pain intensity, depressive symptoms and physical activity as a means to preventing or decreasing both self-reported and performance based disability.     

Trajectories and individual determinants of repeated seasonal flu vaccination use over the long term using data from the French E3N cohort

Despite the implementation of incentive policies to promote seasonal flu vaccination for more than 20 years in France, the coverage of high-risk individuals remains largely insufficient. While there is extensive literature on the determinants of vaccination in a given year, it rarely considers the specificity of flu vaccination, which must be repeated every autumn to remain effective. We aim to fill this gap by focusing on the flu vaccination behavior of high-risk individuals (65 years and older, chronic diseases) over a 15-year period. Based on data from 87,820 women in the French E3N cohort, we used sequence analysis methods (localized Optimal Matching) to identify typical seasonal flu vaccination profiles based on individual trajectories from 2004 to 2018. Then, using a multinomial model, we studied the individual determinants associated with the different patterns of vaccination use identified. Sequence analysis resulted in a partition of 8 clusters, which can be summarized into 4 typical behaviors: almost half of the women get vaccinated against flu each year (43%); conversely, another important share never get vaccinated against flu (32%); some do not get vaccinated for several years and then get vaccinated every year (20%); and finally, a minor share discontinued vaccination (5%). Thus, once women start getting vaccinated they generally continue every year. Nonetheless, this is a double-edged sword, as an important share of women considered at risk refrain from being vaccinated for more than a decade. Determinants associated with regular vaccination are being more at risk (age, weight, and chronic diseases), being in contact with physicians, being more educated, being in couple, having children, not smoking, and undergoing breast cancer screening.     

Social determinants of health,inequality and social inclusion among people with disabilities

OBJECTIVE:

to analyze the socio-familial and community inclusion and social participation of people with disabilities, as well as their inclusion in occupations in daily life.

METHOD:

qualitative study with data collected through open interviews concerning the participants'' life histories and systematic observation. The sample was composed of ten individuals with acquired or congenital disabilities living in the region covered by a Family Health Center. The social conception of disability was the theoretical framework used. Data were analyzed according to an interpretative reconstructive approach based on Habermas'' Theory of Communicative Action.

RESULTS:

the results show that the socio-familial and community inclusion of the study participants is conditioned to the social determinants of health and present high levels of social inequality expressed by difficult access to PHC and rehabilitation services, work and income, education, culture, transportation and social participation.

CONCLUSION:

there is a need to develop community-centered care programs in cooperation with PHC services aiming to cope with poverty and improve social inclusion.     

Predictors of urinary levels of 2,4-dichlorophenoxyacetic acid, 3,5,6-trichloro-2-pyridinol, 3-phenoxybenzoic acid,and pentachlorophenol in 121 adults in Ohio

Limited data exist on the driving factors that influence the non-occupational exposures of adults to pesticides using urinary biomonitoring. In this work, the objectives were to quantify the urinary levels of 2,4-dichlorophenoxyacetic acid (2,4-D), 3,5,6-trichloro-2-pyridinol (TCP), 3-phenoxybenzoic acid (3-PBA), and pentachlorophenol (PCP) in 121 adults over a 48-h monitoring period and to examine the associations between selected sociodemographic and lifestyle factors and urinary levels of each pesticide biomarker. Adults, ages 20–49 years old, were recruited from six counties in Ohio (OH) in 2001. The participants collected 4–6 spot urine samples and completed questionnaires and diaries at home over a 48-h monitoring period. Urine samples were analyzed for 2,4-D, TCP, 3-PBA, and PCP by gas chromatography/mass spectrometry. Multiple regression modeling was used to determine the impact of selected sociodemographic and lifestyle factors on the log-transformed (ln) levels of each pesticide biomarker in adults. The pesticide biomarkers were detected in ≥89% of the urine samples, except for 3-PBA (66%). Median urinary levels of 2,4-D, TCP, 3-PBA, and PCP were 0.7, 3.4, 0.3, and 0.5 ng/mL, respectively. Results showed that 48-h sweet/salty snack consumption, 48-h time spend outside at home, and ln(creatinine) levels were significant predictors (p < 0.05), and race was a marginally significant predictor (p = 0.093) of the adults’ ln(urinary 2,4-D) concentrations. Strong predictors (p < 0.05) of the adults’ ln(urinary TCP) concentrations were urbanicity, employment status, sampling season, and ln(creatinine) levels. For 3-PBA, sampling season, pet ownership and removal of shoes before entering the home were significant predictors (p < 0.05) of the adults’ ln(urinary 3-PBA) levels. Finally for PCP, removal of shoes before entering the home and ln(creatinine) levels were significant predictors (p < 0.05), and pet ownership was a marginally significant predictor (p = 0.056) of the adults’ ln(urinary PCP) concentrations. In conclusion, specific sociodemographic and lifestyle factors were identified that increased the exposures of these adults to several different pesticides in their daily environments.