Menstrual health is one of the major areas of concern in reproductive health, and affects a large number of women throughout their reproductive life from adolescence. Menstruation is a biological phenomenon imbued with social-cultural, nutritional and personal significance. The present study aims to focus on the menstrual characteristics and its association with socio-demographic factors and nutritional status among the urban slum adolescent girls of North 24 Parganas district, West Bengal. This community-based study was conducted among a group of 90 Bengali speaking Hindu adolescent girls aged between 16 to 18 years. A pre-tested structured schedule was used to collect detailed information about the socio-economic conditions and menstrual characteristics. All anthropometric measurements were taken using the standard procedures. Results of the study revealed that underweight girls attained menarche comparatively in later age (12.67±1.23) than that of healthy and overweight girls. Mean length of the menstrual cycle, mean duration of menstrual bleeding and mean number of days of peak discharge were maximum among the girls whose BMI was below 5th percentile, i.e. underweight. Majority of the underweight (75%) and healthy (50%) girls experienced heavy discharge during their menstrual days. Disorders like premenstrual syndrome (PMS) (78.8%) and dysmenorrhea (85.5%) were the major prevalent menstrual problems among these girls and occurrence of the symptoms of these disorders significantly varied based on their BMI. A highly significant difference (p<0.01) was found among underweight, healthy and overweight girls in terms of duration of menstrual bleeding, mean number of days of peak discharge and occurrences of PMS. Result of linear regression and step wise logistic regression (backward elimination) shows that various socio-economic and anthropometric variables are the influential predictors of menstrual characteristics like duration of menstrual discharge, cycle length, days of peak discharge as well as menstrual problems like cycle irregularity and heavy flow (p<0.05). Therefore, the present study unwraps a podium to focus on the menstrual health issues of the adolescent girls and enforce health education as well as instigates nutritional intervention programme to fortify the existing menstrual health status.

AbstractThe energetic costs of ovarian functions rely on the oxidizable fuels synthesized from carbohydrate, protein and fat that contribute to body’s fat storage. Energy deficient diet in association with low body fat may disrupt normal ovulatory function and lead to several menstrual irregularities. We examined the association of nutritional status with menstrual characteristics among a group of adolescent Oraon tribal population of West Bengal, India. We selected 301 adolescent girls, aged 10-19 years. Information on socio-demographic status, menstrual characteristics and assessment of the dietary intake and nutritional status were collected following standard protocol. ‘Healthy weight’ participants more likely reported irregularity in periods and skipping of menstrual cycle and shorter cycle length. Multivariate analysis revealed PBF has inverse association with PMS, duration of discharge and skipping of cycle (p<0.05); carbohydrate intake has direct association with duration of menstrual discharge (p<0.05); increased dietary fat intake has direct association with skipping of cycle, but not with BMI (p<0.05); increase in MUAC has direct association with dysmenorrhoea (p<0.05). Conclusion: Our study indicates energy deficiency does alter the menstrual characteristics of the Oraon adolescent girls.

Objectives Human reproductive characteristics are embedded within local ecological contexts. A shift in the local ecology is likely to offer challenges in reproductive outcome. We aimed to investigate sedente–migrant variation in experiencing vasomotor and genitourinary symptoms at perimenopausal and postmenopausal stages and its concomitants. Methods Four hundred Oraon tribal populations living in Eastern India (sedente [100 each from perimenopausal and postmenopausal groups] and migrants [100 each from perimenopausal and postmenopausal groups]) were studied. Data on vasomotor and genitourinary symptoms, socio‐demographic and reproductive history, body compositions, lifestyle variables, and energy intake were compared between sedente and migrant independently for perimenopausal and postmenopausal groups. Principal component analysis (PCA) was used to identify the principal components (PCs) of menopausal symptoms. A two level multilevel linear regression was applied independently for perimenopausal and postmenopausal groups to identify the concomitants of menopausal symptoms and estimate sedente–migrant variance. Results Bivariate analysis showed significant (p ≤ .05) sedente–migrant differences in socio‐demographic, reproductive, body composition, energy intake, and lifestyle variables and in some of the vasomotor and genitourinary symptoms. In multilevel analyses, random effect did not show significant heterogeneity between sedente and migrant groups in experiencing menopausal symptoms; however, fixed effect showed that region from which participants were recruited (Gram Panchayat [GP]) and individual level characteristics were concomitants (p ≤ .05) for menopausal symptoms, irrespective of menopausal status. Conclusion Variability at GP levels and individual level characteristics of sedente and migrant groups predominantly determined menopausal symptoms of the study populations, but not the migration status.

ObjectivesWe asked in our research whether the premenstrual syndrome (PMS) and its concomitants, differ between “sedente” and “migrant” populations hailing from the same ethnic group, owing to their living in contrasting socio‐ecological conditions.MethodsA total of 501 Oraon adolescents (sedente: 200, migrant: 301) were studied. Data on PMS was reported retrospectively using a list of 29 standard symptoms. Principal component analysis (PCA) was applied on PMS. PCA, which resulted in six principal components (PC1 to PC6) were loaded with “behavioral and cognitive,” “negative mood,” “pain and fluid retention,” “vestibular and breast tenderness,” and “fatigue,” and/or “gastrointestinal” symptoms. Step‐wise hierarchical regression was applied using migration status (step 1), socio‐demographic (step 2), menstrual (step 3), and nutritional and lifestyle variables (step 4) as concomitants for each principal component.ResultsSignificantly, a greater number of migrants reported PMS but of milder intensity, unlike the sedentes. Significant sedente‐migrant differences were found in the concomitants for PMS. Multivariate analyses showed differential socio‐demographic (occupational, educational and wealth status, religion), nutritional (dietary carbohydrate protein and fat, tea intake, body mass index, percent body fat, waist hip ratio, fat mass index), menstrual (age at menarche, cycle length, dysmenorrhoea) and anemic status of the sedentes and the migrants were significantly associated with PMS.ConclusionsSedente and migrant participants, despite hailing from the same ethnic group, sharply differed in the prevalence of PMS and its concomitants owing to their living in contrasting socio‐ecological conditions.

The state of pregnancy and child birth is a stretch of intense vulnerability and incurs reproductive cost, which is governed within a specific socio-ecological context. We asked in our research whether the obstetric morbidities at three stages: antepartum, intrapartum and postpartum, and their concomitants differed significantly between sedente and migrant populations. 403 Oraon indigenous women [203 sedente and 200 migrants] living in Eastern India were selected. Data on socio-demographic, reproductive, maternal health care services and obstetric morbidities were collected using semi structured schedules. We applied Categorical Principal Component Analysis (CATPCA) on the first three variables; PC1 and PC4 were loaded with “socio-demographic and maternal health care services” and PC2 and PC3 loaded with “socio-demographic and reproductive” variables. We applied Poisson regression to examine the determinants of obstetric morbidities. Bivariate analyses showed significant (p ≤ 0.05) sedente-migrant differences in variables related to socio-demographic, reproductive, maternal health care and obstetric morbidities. Poisson regression showed migrants were more likely (p ≤ 0.001) to experience ante and intrapartum morbidities than the sedentes, after controlling the confounders. PC1, PC2 and PC3 could significantly (p ≤ 0.05) predict ante and intrapartum morbidities. For postpartum morbidities, barring the variables related to availing of maternal health care services at the time of child delivery and post delivery, neither migration status nor any of the PCs was a significant predictor. For example, participants who delivered their child in health institutions and had episiotomy and/or caesarean delivery (p ≤ 0.01); and those who availed first PNC within the 24 hours of delivery, stayed under medical supervision after delivery for more than 48 hours and received higher coverage of PNCs were more and less likely respectively (p ≤ 0.05) to have experienced postpartum morbidities. We conclude that the maternal obstetric morbidities and their concomitants differed between sedente and migrant Oraon populations owing to their living in differential socio-ecological contexts.