The research team designed the survey to move beyond simple prevalence figures. Each participant answered ten binary knowledge items covering fundamental aspects of menstruation and its hygienic management, and responses were scored and then classified as adequate or inadequate relative to the mean score of the sample. This approach allowed the investigators to translate a sensitive and often stigmatized topic into a quantifiable measure that could be analyzed statistically. Interviews were carried out in private settings to protect confidentiality, a methodological detail that matters enormously in research on menstruation, where social desirability bias can distort self-reported knowledge and practice.

To identify which factors genuinely predict adequate knowledge, the researchers turned to Firth penalized logistic regression, a statistical technique specifically designed for situations where outcomes are imbalanced or where certain categories contain few observations. In this study, the technique was essential because adequate knowledge was the minority outcome, and conventional logistic regression can produce unstable or biased estimates under such conditions. The method yields adjusted odds ratios with 95 percent confidence intervals, allowing the team to isolate the independent contribution of each socio-economic and demographic variable while holding the others constant.

The results were unambiguous. Women living in urban areas had 3.59 times higher odds of adequate menstrual knowledge compared with their rural counterparts, with a confidence interval running from 1.08 to 9.21. Women with higher education showed 3.42 times higher odds, with a confidence interval of 1.29 to 8.13. The strongest single predictor was wealth: women from rich households had 4.21 times higher odds of adequate knowledge, with a confidence interval spanning 1.74 to 9.91. Because these confidence intervals exclude unity, the associations are statistically significant, meaning they are unlikely to be artifacts of sampling variation.

These three findings, urban residence, higher education, and rich wealth status, form a coherent sociological story. Education transmits health literacy directly, but it also changes how women seek and evaluate information. Wealth determines whether a household can afford sanitary products, private washing facilities, and access to clinics and media. Urban residence concentrates all of these advantages geographically, placing women closer to schools, markets, health workers, and television and internet signals. The fact that wealth emerged as the strongest predictor suggests that economic empowerment may be a particularly powerful lever for improving menstrual health awareness, potentially even among women with limited formal schooling.

Beyond these headline predictors, the study documented significant disparities across a wider set of characteristics, including age, marital status, media exposure, and women’s autonomy. The role of autonomy is especially noteworthy. Women who exercise greater decision-making power within their households were more likely to hold adequate knowledge, a finding consistent with a broader literature linking women’s agency to health outcomes. Autonomy affects whether a woman can act on what she knows, purchasing products, seeking care, and discussing menstrual health openly rather than in whispers. Media exposure, meanwhile, functions as an informal educator, carrying public health messaging into households that formal schooling may have missed.

Perhaps the most visually compelling component of the study is its spatial analysis. The researchers mapped knowledge levels across the district’s 12 blocks, presenting the maps as descriptive visualizations of geographic variation. The maps revealed a clear gradient: inadequate knowledge clustered in the southern and western blocks of Koch Bihar, while the central regions showed comparatively better outcomes. This kind of spatial patterning is more than an illustration; it is an analytical finding in its own right. It suggests that the determinants of menstrual health knowledge are not randomly distributed but are embedded in local geographies of infrastructure, schooling, transport, and cultural norms that vary from block to block.

The public health implications of these findings are substantial. Inadequate menstrual hygiene knowledge is not merely an information deficit; it is a pathway to poor hygiene practices, which in turn are associated with adverse health outcomes including reproductive and urinary tract infections. International frameworks, including work promoted by UNICEF and by researchers advocating for menstrual hygiene management on the global agenda, have increasingly recognized menstruation as a matter of health, education, and dignity rather than a private inconvenience. When six in ten women in a district lack adequate knowledge, the consequences ripple outward: girls may miss school during their periods, women may resort to unhygienic materials, and silence around the topic perpetuates itself across generations.

The study’s authors argue that targeted interventions are essential, focusing on education, economic empowerment, media access, and region-specific strategies. The word targeted carries real weight here. A uniform district-wide campaign would spread resources thinly across areas with very different needs. The spatial findings point toward concentrating efforts in the southern and western blocks, where inadequate knowledge is most concentrated, while the regression findings suggest that programs should prioritize rural women, those with less education, and households with fewer economic resources. Combining the statistical and spatial results offers policymakers a two-dimensional map of vulnerability: who is most at risk and where they live.

Conducted with ethical approval from the Institutional Ethics Committee of Cooch Behar College and carried out under the standards of the Declaration of Helsinki, the study took particular care with its youngest participants. For adolescents aged 15 to 17, written informed consent was obtained from a parent or legal guardian alongside assent from the adolescent herself, and all participation was voluntary with the right to withdraw at any time. The research received no specific grant funding, and the authors declare no competing interests. As India continues to expand menstrual health programs, studies of this kind, rooted in local geography and rigorous statistics, demonstrate that closing the menstrual knowledge gap will require more than distributing products; it will require confronting the educational, economic, and spatial inequalities that keep six in ten women in the dark about their own bodies.

Subject of Research: Socio-economic and spatial determinants of menstrual hygiene knowledge among women in Koch Bihar district, India

Article Title: Understanding menstrual hygiene knowledge among women: a case study from Koch Bihar district, India

Article References: Das, T. K., & Karjee, S. (2026). Understanding menstrual hygiene knowledge among women: a case study from Koch Bihar district, India. SN Social Sciences, 6(10), Article 455. https://doi.org/10.1007/s43545-026-01746-5

Image Credits: AI Generated

DOI: 10.1007/s43545-026-01746-5

Keywords: menstrual hygiene, menstrual health, Koch Bihar, West Bengal, India, women's health, cross-sectional survey, Firth logistic regression, spatial analysis, health inequality, women's autonomy, public health

The research team, led by Deeksha Bajpai Tewari of Dyal Singh College, University of Delhi, together with colleagues from Guru Gobind Singh Indraprastha University and the Campus Law Centre at the University of Delhi, set out to quantify a relationship that has long been theorized but rarely mapped at this scale. Domestic spaces formed by marital setups, the authors note, involve complex power dynamics that often favor male members. Practices that oppress women can become so normalized, and so thoroughly internalized, that they shape women’s perceptions of what is acceptable before any violence is ever experienced. That framing turns the study into more than a statistical exercise; it is an attempt to measure the invisible architecture of household power.

To do this, the researchers constructed two composite measures. The first, a Women Autonomy Index (WAI), aggregates indicators of women’s self-reported freedom across domains such as mobility, access to money, and attitudes toward wife-beating. The second, a Women Decision-making Index (WDI), captures the extent to which women participate in key household decisions, including those concerning their own health care, large purchases, and visits to family. Both indices were built using a minimum-maximum standardization method, which rescales each underlying variable to a common range so that the components can be meaningfully combined. This technique, standard in psychometrics and composite indicator construction, allows researchers to compare states as different as Kerala and Bihar on a single, interpretable scale.

The dependent variables were drawn from the NFHS-5 modules on spousal violence, which record whether women report experiencing physical, sexual, or emotional violence from their husbands, as well as whether they sought help after such experiences. Supplementary data came from the Periodic Labour Force Survey (PLFS) of 2020 and the National Crime Records Bureau’s Crime in India Report 2020, providing state-level context on employment and recorded crime. Crucially, the team also incorporated each state or union territory’s Human Development Index (HDI), a composite of income, education, and health, to test whether broad socio-economic development alone explains the geography of violence against women.

The analytical sequence was deliberately structured. Pearson correlation tests were used to probe the strength and direction of associations between the two indices and the violence outcomes. Ordinary least squares (OLS) regression was then applied to model the relationship while accounting for the HDI backdrop, allowing the authors to ask whether autonomy predicts violence independently of a state’s overall development level. Finally, univariate and bivariate spatial analysis was conducted to visualize how the indices and violence rates cluster across the map of India, revealing geographic patterns that a purely tabular analysis would obscure. Spatial methods of this kind are increasingly used in epidemiology and social science to detect regional hotspots and to test whether neighboring territories share similar profiles.

The findings cut against a comfortable assumption: that prosperity automatically protects women. States with high HDI scores do not uniformly exhibit low levels of spousal violence, and the study highlights that women’s empowerment within the household and within relationships plays a vital role in reducing their vulnerabilities and lowering their tolerance of violence inflicted by husbands. In other words, the protective effect appears to operate at the level of the marriage itself, in who decides, who controls resources, and who is permitted to move through the world unaccompanied, rather than at the level of aggregate state wealth.

This conclusion resonates with a substantial international literature. Economic theories of intimate partner violence, including resource theory and its feminist extensions, have long suggested that shifts in relative power between spouses can either reduce violence or, in some contexts, provoke a male backlash when women’s status rises faster than social norms can absorb. Studies from Bangladesh, Pakistan, sub-Saharan Africa, and urban India have documented both patterns, and the Indian evidence base includes the well-known finding that women’s employment can sometimes be associated with elevated risk when husbands perceive their authority as threatened. The new study’s state-level perspective adds a geographic dimension to this debate, suggesting that the balance between empowerment as protection and empowerment as provocation may vary systematically across India’s regions.

The scale of the underlying survey lends the analysis considerable statistical power. With more than half a million respondents, the NFHS-5 is among the largest household surveys in the world to include a dedicated domestic violence module, administered to a subsample of eligible women under strict confidentiality protocols. That scale matters because violence against women is chronically underreported, and only very large samples can stabilize estimates at the state and union territory level. The authors’ use of secondary data also means the study required no new fieldwork; ethical approval guidelines were recorded as not applicable, and the authors declared no competing interests or external funding. The constructed indices and analysis data have been made publicly available through the figshare repository, an increasingly common practice intended to let other researchers scrutinize and extend the work.

Why does decision-making autonomy matter mechanistically? The authors’ framework points to the internalization of oppressive norms as a key pathway. When women themselves regard wife-beating as justified under certain circumstances, a question NFHS directly asks, their tolerance of abuse rises and their likelihood of seeking help falls. Autonomy, in this view, is not merely a privilege but a form of cognitive and practical infrastructure: women who control money can leave or negotiate; women who decide about their own health can seek care after injury; women who are consulted about household purchases occupy a bargaining position that makes violence a costlier strategy for a violent partner. Help-seeking behavior, which the study also models, is the visible tip of this process, and its geographic distribution mirrors the autonomy indices in ways the spatial analysis makes strikingly apparent.

The policy implications are hard to ignore. India has invested heavily in legal remedies, from the Protection of Women from Domestic Violence Act to helplines and one-stop crisis centers, yet prevalence remains stubbornly high in many states. If the study’s central claim holds, interventions that target household-level power, such as women’s property rights, financial inclusion, and norms-change programs that engage men, may be as important as criminal justice responses. The authors’ integration of the HDI also serves as a caution to development planners: rising incomes and literacy do not automatically dismantle patriarchal bargaining within marriage. As the researchers put it in their abstract, besides socio-economic development, women’s empowerment within the household and relationships plays a vital role in reducing vulnerability. Mapping where autonomy is thinnest, their spatial analysis suggests, may be the first step toward directing resources where they can do the most good, and toward redefining development itself as something that must be measured inside the home as well as outside it.

Subject of Research: The association between women's household decision-making autonomy and spousal violence across Indian states

Article Title: Association between autonomy in decision making and violence faced by married women: an exploratory study of Indian states

Article References: Tewari, D. B., Gautam, U., Das, P., Jaiswal, V., & Mishra, A. (2026). Association between autonomy in decision making and violence faced by married women: an exploratory study of Indian states. SN Social Sciences, 6(10), Article 502. https://doi.org/10.1007/s43545-026-01785-y

Image Credits: AI Generated

DOI: 10.1007/s43545-026-01785-y

Keywords: women's autonomy, spousal violence, India, NFHS-5, decision-making, domestic violence, Human Development Index, empowerment, gender, spatial analysis, public health, household power dynamics

The economic logic behind the research begins with a well-documented failure of conventional banking. Formal credit institutions have struggled to serve rural populations because small loans and savings accounts carry high transaction costs relative to their value. Lenders also face information asymmetry, meaning they know little about the creditworthiness of remote borrowers, and poor households typically lack the collateral that banks demand. These frictions leave marginalized communities dependent on informal moneylenders who charge punishing interest rates. Microfinance through self-help groups was designed to circumvent precisely these barriers: group membership substitutes social collateral and peer monitoring for physical assets, while pooled savings lower the cost of intermediation. Whether this design actually works on the ground, however, requires evidence rather than assumption.

To generate that evidence, the researchers conducted a primary field survey, interviewing 165 individuals in the Bodoland Territorial Region. The sample size was determined using the standard Krejcie and Morgan formula for survey research, a method that links the required number of respondents to the size of the population being studied. The interviews captured detailed information on household financial behavior, participation in self-help groups, and the dimensions of women’s decision-making power within their households and communities. Because the study was a non-interventional social science survey, formal ethics committee approval was not required, but the authors report that participation was voluntary, informed consent was obtained, and confidentiality and anonymity were maintained throughout.

A central methodological challenge in this kind of research is that concepts like financial inclusion and women’s autonomy are multidimensional and cannot be captured by a single survey question. The authors addressed this by constructing two composite indices using multiple correspondence analysis, a statistical technique related to principal component analysis but designed for categorical data. The technique identifies the underlying structure in a set of categorical responses and assigns weights to each dimension based on how much it contributes to the overall variation. From this procedure the researchers built a Financial Inclusion Index, which aggregates indicators of access to and use of formal financial services, and a Women’s Autonomy Index, which aggregates measures of women’s independent decision-making across domains of household life. Composite indices of this kind allow researchers to place individuals on a continuous scale rather than sorting them into crude yes-or-no categories.

The second methodological challenge is causal. Women who join self-help groups may differ systematically from women who do not: they may be more motivated, better educated, or already embedded in more supportive family structures. A naive comparison of participants and non-participants would then confound the effect of the groups with these pre-existing differences. To isolate the causal impact of SHG membership, the study employed propensity score matching, an econometric approach rooted in the influential framework developed by Rosenbaum and Rubin in 1983. The method estimates, for each SHG participant, the probability of participation given a set of observable characteristics, and then matches each participant with non-participants who have similar probabilities. Under the assumption that all relevant differences are captured by these observables, the matched comparison approximates the counterfactual: what would have happened to the same women had they not joined a group. Matching estimators of this type, refined in work by Heckman and colleagues, have become a standard tool for evaluating development programs where randomized trials are impractical.

The empirical results are unambiguous. Women who participated in self-help group-led microfinance scored significantly higher on both the Financial Inclusion Index and the Women’s Autonomy Index than their matched non-participating counterparts. In other words, after statistically accounting for the observable characteristics that might explain who joins these groups, membership itself was associated with deeper engagement with formal financial services and with greater independent decision-making power. The finding supports the interpretation that the mechanism runs from group participation to outcomes, rather than merely reflecting that empowered women are the ones who join. The authors are careful, however, to frame the results within the limitations of the matching approach, which cannot fully rule out the influence of unobserved factors such as individual ambition or household attitudes that shape both participation and outcomes.

The significance of these findings is amplified by the setting. Bodoland is a region with a complex history of conflict and underdevelopment, where tribal communities have historically had limited access to formal financial infrastructure. Earlier research by Maity and colleagues, including a 2017 study in Development Practice on self-help groups in the same region, examined whether microfinance alleviates poverty and inequality there. The new study extends this line of inquiry from income outcomes to the twin dimensions of financial access and personal autonomy, connecting the microfinance literature to a broader body of work on women’s empowerment. That literature, spanning systematic reviews of economic self-help group programs and studies of female autonomy and education in India, has produced mixed results across contexts, making region-specific causal evidence particularly valuable.

The distinction between financial inclusion and autonomy matters for policy. Financial inclusion refers to the availability and actual use of formal financial services such as savings accounts, credit, and insurance, and it is a headline goal of development institutions worldwide. Women’s autonomy, by contrast, concerns the capacity to make and act on decisions independently, a dimension of empowerment that economists have linked to outcomes ranging from contraceptive use to investment in children’s education. A program could conceivably raise one without the other, for example by channeling credit through women while leaving household decision structures untouched. The finding that SHG participation in Bodoland moves both indicators simultaneously suggests that the group format, which combines financial intermediation with regular collective meetings, may be doing double duty: building financial capability while also creating a social space in which women practice and assert agency.

For policymakers in India, where SHG-bank linkage programs have scaled to reach tens of millions of rural women, the study offers a measure of validation grounded in causal inference rather than anecdote. It also underscores the importance of measurement: without composite indices built from carefully weighted survey dimensions, claims of empowerment can rest on cherry-picked indicators. The authors outline limitations and recommendations for future research, noting that the analysis relies on a combination of unpublished secondary data and primary survey data, with the dataset available only upon request. Future work with larger samples, panel designs that track the same women over time, and methods robust to unobserved confounding would strengthen the causal case further.

What emerges from this research is a portrait of microfinance that is neither miracle nor myth. In one of India’s most historically marginalized regions, the humble self-help group, a institution built on small weekly savings and mutual trust, appears to deliver measurable gains in both access to the formal financial system and the everyday autonomy of the women who participate in it. The evidence does not claim that SHGs solve poverty or dismantle gender hierarchies on their own. But it does suggest that when the formal credit system fails the rural poor, a well-structured collective alternative can partially fill the gap, and in doing so, quietly reshape who holds financial power and who makes decisions in the households of Bodoland.

Subject of Research: The impact of self-help group microfinance on financial inclusion and women's autonomy in Bodoland, Assam

Article Title: SHG-led microfinance results in financial inclusion and women’s autonomy—myths or reality? evidence of Bodoland, Assam

Article References: SHG-led microfinance results in financial inclusion and women’s autonomy—myths or reality? evidence of Bodoland, Assam. (n.d.). https://doi.org/10.1007/s43545-026-01757-2

Image Credits: AI Generated

DOI: 10.1007/s43545-026-01757-2

Keywords: microfinance, self-help groups, financial inclusion, women's autonomy, Bodoland, Assam, propensity score matching, multiple correspondence analysis, financial inclusion index, women's autonomy index, rural development, India