Aging is a multifactorial process influenced by both biological and sociocultural factors. The objective of this study was to identify current and past factors with an impact on the quality of aging in a sample of people 65 years of age or older born in the postwar period after the Spanish civil war. Socioeconomic, health, anthropometric, and food consumption data were collected in public Leisure Centers for the elderly in Madrid. The sample consists of 587 people (64.6% women), with a mean age of 71.8 ±5.3 years. Following the World Health Organization (WHO) guidelines regarding what is considered Healthy Aging, an index called the Index of Quality of Aging was calculated from four variables: the Mini Mental State Examination score, perception of health, satisfaction with life and the number of diseases that affect daily life. Another index called the Diet Inflammation Index was created based on the inflammatory or anti-inflammatory potential of different foods. The Index of Quality of Ageing was used as a dependent variable in linear regression models for men and women. Differences by gender were observed in the factors that influence the quality of aging. Education had a positive influence on men quality of ageing while it does not on women. In these, a relationship between the quality of the current diet and the quality of aging was observed.

In the latter part of the third stage, India is in demographic transition with declining fertility and mortality. This marked decline in death rates is driven by improvements in health conditions due to medical progress and better living conditions. The conventional measures of ageing do not account for the significant improvements in health and life expectancy, thus leading to a tendency to overestimate the impact of population ageing when these indicators are used. The old-age threshold in the conventional measures of ageing depends on chronological age. The present study estimated the multi-dimensional old-age thresholds (MOAT) based on the remaining life expectancy (RLE), self-rated health, activities of daily living (ADL), handgrip strength, and cognition in India and selected states. The standard population was derived for each dimension for 50 and over in states using the WHO Study on Global AGEing and Adult Health data. Keeping the dimensional characteristics as of the standard population, the estimated MOAT for India was 67 years where Maharashtra stands at the top (68.6), followed by, West Bengal (66.5) and Karnataka (66). A 64 year old woman was similar to 68.8 year old man, and a 66 year old rural person was equivalent to 68 year old urban person. The study suggests implications of MOATs on reducing the burden of ageing and increment in retirement age.

Parental and pregnancy characteristics can affect proportions and tissue composition of the child’s bodyand thereforecan influence their present and future health, as well as overall wellbeing. The aim of this study was to examine the differences between selected parental and birth-related parameters among preschool (3-7 years of age) children of varying adiposity status (n=541 girls and n=571 boys).The research was carried out in 20 randomly selected kindergartens in Krakow (Poland). Thickness of 6 skinfolds (biceps, triceps, subscapular, suprailiac, abdominal and calf) was measured. Sum of skinfolds was calculated and participants were divided into low, normal or high body fat groups. Birth-related characteristics were obtained using a questionnaire filled out by the children’s parents. Children of mothers who gained the most gestational weight were characterised by high adiposity. Preschoolers with the highest birth weight, body length and head circumference had the greatest adiposity. Children of relatively younger mothers had higher body fat, in comparison to the rest of the study group. Parents of preschoolers in the high adiposity category were characterised by a greater body mass, compared to the parents of children in other body fat groups and that boys with the highest adiposity relatively more often had a close relative with obesity. Children in varying adiposity categories differed in terms of some birth-related factors. Particular attention should be paid to familial and parental characteristics, because they may influence the child’s predisposition to excess adiposity deposition later in life.

Conditions in the early stages of life shape body size and proportions. This study includes individuals who came from different socio-economic conditions and worked in physically demanding jobs in childhood. By determining the body sizes of these individuals and evaluating the proportional relationships between several groups, the goal was to understand the effect levels of socio-economic levels and working conditions on the body. For this purpose, an anthropometric study was conducted on 623 males and females between the ages of 20 and 45 living in Samsun, Turkey. The study sample consisted of four different groups. It was divided into two main groups of high and low socio-economic level, and the low socio-economic group was divided into two subgroups of heavy-worker and nonheavy-worker. The results demonstrated that socio-economic differences in the size and proportions of the individuals were statistically significant (p<0.05). The high socio-economic group had the highest values in all measures. External factors affected the lower limbs more than the upper limbs. The measurement most affected by these factors was leg length. Longer legs characterized the high socio-economic group, while longer arms characterized both low socio-economic groups. The relative differences observed can be said to derive from the distal limbs. This finding was valid for both sexes. The average values were close to each other in the low socio-economic group, for which the aim was to comprehend the effects of heavy working conditions. However, differences in proportional relationships were more significant. In this context, it was seen that heavy labour also affected growth, in addition to the well-known factors encountered during the growth period, such as nutrition, health, and illness. The observed changes were more significant in males than in females. Thus, it can be said that males were more affected by physiological and physical conditions.

Average adult height is an indicator of population health and a marker of socioeconomic inequalities. This study aimed to assess how socioeconomic differences affect intergenerational height increase between adults born in 1990 and their parents. Data from a population-based cohort of subjects born in 1990 (EPITeen) were analysed. Participants’ adult height was objectively measured. Parental height, education, and occupation were reported by the parents. The height difference between daughters and their mothers (n=707), and sons and their fathers (n=647) was calculated. A generalised linear model was used to assess the association between parental education and occupation, separately, and the intergenerational height difference, adjusted for maternal age at birth, smoking during pregnancy, birthweight adjusted for gestational age, and birth order. Females were on average 1.46cm (SD=6.62) taller than their mothers, and males 3.00cm (SD=7.26) taller than their fathers. The highest height gain was shown in those with less advantaged socioeconomic background. In the adjusted model, sons whose mothers had 0-6 years of education grew 3.9cm taller (β=3.894; 95%CI:2.345;5.443) and daughters 1.5cm taller (β=1.529; 95%CI:0.180;2.878) (compared to >12y maternal education); for paternal education, sons and daughters grew 3.5cm (β=3.480; 95%CI:1.913;5.047) and 1.9cm taller (β=1.895; 95%CI:0.526;3.265), respectively. A higher height increase was found in participants with less advantaged maternal and paternal occupational level. Adults born in 1990 are taller than their parents, and height gain was higher in males than females. Adults from a lower socioeconomic status experienced the highest height gain, suggesting a reduction in height inequality.

Increasing body of health planning and policy research focused upon unravelling the fundamental drivers of population health and nutrition inequities, such as wealth status, educational status, caste/ethnicity, gender, place of residence, and geographical context, that often interact to produce health inequalities. However, very few studies have employed intersectional framework to explicitly demonstrate how intersecting dimensions of privilege, power, and resources form the burden of anthropometric failures of children among low-and-middle income countries including India. Data on 2,15,554 sampled children below 5 years of age from the National Family Health Survey 2015-2016 were analysed. This study employed intersectional approach to examine caste group inequalities in the anthropometric failure (i.e. moderate stunting, severe stunting, moderate underweight, severe underweight, moderate wasting, severe wasting) among children in India. Descriptive statistics and multinomial logistic regression models were fitted to investigate the heterogeneities in the burden of anthropometric failure across demographic, socioeconomic and contextual factors. Interaction effects were estimated to model the joint effects of socioeconomic position (household wealth, maternal education, urban/rural residence and geographical region) and caste groups with the likelihood of anthropometric failure among children.

More than half of under-5 children suffered from anthropometric failure in India. Net of the demographic and socioeconomic characteristics, children from the disadvantageous caste groups whose mother were illiterate, belonged to economically poor households, resided in the rural areas, and coming from the central and eastern regions experienced disproportionately higher risk of anthropometric failure than their counterparts in India. Concerted policy processes must recognize the existing heterogeneities between and within population groups to improve the precision targeting of the beneficiary and enhance the efficiency of the nutritional program among under-5 children, particularly for the historically marginalized caste groups in India.

In a high fertility context, research on the relationship between parental investment, unwanted births and child nutritional outcomes is limited. The implications may be especially relevant for children coming from the most disadvantaged backgrounds and at increased risk of nutritional deprivation. This study assessed the association between maternal investment, unwanted births disaggregated into mistimed and unwanted children, and child nutritional outcomes in a poor population of Serbian Roma. Multiple Indicator Cluster Surveys rounds 5 and 6 data for Serbian Roma settlements were used to account for the association between two measures of maternal investment: weight at birth and parity, and mistimed and unwanted children, and children height-for-age z-score (HAZ), weight-for-age z score (WAZ) and weight-for- height z-score (WHZ). The sample included 130 children aged 0-24 months. The child variables were age, gender, and birth order, while maternal independent variables included age, literacy and access to improved toilet facility as proxies for socioeconomic status. Children born with low birth weight (lower maternal investment in utero) face a significant deficit in terms of their nutritional outcomes, measured by HAZ and WAZ. The effect was aggravated for height if the child was unwanted while there was a positive relationship between access to improved toilet facility and WHZ. Unwanted children were of higher birth order, with older, higher parity mothers than mistimed children. Many of the Roma children may be at risk of undernutrition, however, Roma children who received lower maternal investment in utero, unwanted and living in poorest households may face additional risk.

This study tracked the longstanding effect of childhood adversities on health status over the course of a life. This study used the data from China Health and Retirement Longitudinal Study which was a nationally representative survey and documented the generation who had arrived in the middle- and old-age phase and experienced the difficult time in the early founding of PR China in their childhood. Results shown the significant associations between multiple forms of children adversities (economic distress, child neglect, child abuse, lack of friends, parental mental health problems) and health status in adolescence (from 0.068 to 0.102, p<0.01), and health status in mid and late adulthood, including self-rated general health problems (from 0.039 to 0.061, p<0.01), chronic conditions (from 0.014 to 0.120, p<0.01 except for lack of friends), body aches (from 0.016 to 0.062, p<0.01 except for child neglect), and depression (from 0.047 to 0.112, p<0.01). Meanwhile, results also shown an underlying pathway (i.e., health status in adolescence) linking childhood adversities and health status in mid and late adulthood. Results suggested that the experience of multiple forms of adversities in childhood represented a substantial source of health risk throughout life.

Short Birth Interval (SBI) is one of the main causes of adverse maternal and child health outcomes. A 33-month birth-to-birth interval between two successive live births should be followed to minimize the risk of adverse maternal and child health. This study aimed to examine the prevalence of SBI and the associated factors in rural India. Information on 98,522 rural mothers from the fourth round of National Family Health Survey data was analyzed. Bivariate statistics, logistic regression, Moran’s I, and Cluster and Outlier Analysis have been used to assess the prevalence and spatial pattern of SBI in rural India. Results revealed that about half of the mothers in rural India had experienced SBI. Rural Indian mothers whose child was not alive (OR = 1.76, 95% CI = 1.63–1.90), were not using any contraceptive methods (OR = 1.42, 95 % CI = 1.37–1.48) and not breastfeeding (OR = 2.73, 95% CI = 2.50–2.97) were more likely to experience SBI. On the other hand, rural mothers from the middle, richer and richest wealth quintiles (OR = 0.91, 95% CI = 0.86–0.97; OR = 0.84, 95% CI = 0.80–0.92; OR = 0.60, 95% CI = 0.55–0.66) and of age over 30 years (OR = 0.38., 95% CI = 0.36–0.39) were less likely to experience SBI. Analysis of spatial patterns revealed clear east-west differences in the prevalence of SBI. There was strong clustering of high values of SBI in most districts across the central, northern, western, and southern regions. The study suggests the need to introduce appropriate interventions and programs focused on reducing the prevalence of SBI in rural India.

Despite a significant drop in maternal mortality in Bangladesh, unsafe abortion remains a critical maternal health issue that could be reduced by promoting menstrual regulation (MR). This study aimed to investigate the prevalence and determinants of MR use among ever-married women as well as to identify the socioeconomic inequalities in MR use in Bangladesh. The latest Bangladesh Demographic and Health Survey (BDHS) 2017-18 data were used in this study. We used a sub-sample of 12,586 ever-married women aged 15 to 49 years for this study. To identify the determinants of MR, multilevel (mixed-effect) binary logistic regression analysis was used while accounting for potential between-clusters variations. The weighted prevalence of MR was 7.64% (95% CI: 7.19 - 8.12). Women of aged 20-29 years (AOR: 2.50, 95% CI: 1.46, 4.30) and ≥ 30 years (AOR: 4.17, 95% CI: 2.39, 7.26), from urban areas (AOR: 1.24, 95% CI: 1.04, 1.47), having one or two children (AOR: 1.96, 95% CI: 1.25, 3.09) and ≥ 3 children (AOR: 2.26, 95% CI: 1.40, 3.65), who used traditional contraceptive method (AOR: 1.39, 95% CI: 1.12, 1.73), and from Barishal division (AOR: 1.44, 95% CI: 1.08, 1.93) were more likely to have MR. Women were less likely to have MR if they were from Chittagong (AOR: 0.62, 95% CI: 0.46, 0.84) and Mymensingh (AOR: 0.51, 95% CI: 0.36, 0.73) divisions. MR use was found to be higher among higher socioeconomic status (SES) groups as the concentration index (CIX) value was positive and the Lorenz curve lay below the line of equality (CIX: 0.095, p<0.001). Health policy and intervention design should prioritize minimizing socioeconomic inequities concerning MR services.

This study aimed to assess to what extent differences in socioeconomic factors between regions correlate to dramatic disparities in the prevalence of female genital mutilation/cutting (FGM/C) across Tanzania. The data from the 2004, 2010, and 2016 Tanzania Demographic Health Surveys were used in this analysis. The estimates from multilevel variance components for FGM/C were compared before and after adjusting for socioeconomic variables (residence, marital status, education, and wealth quintile) and age. The three-level structure of the sample sorted women into individual (level-1), neighborhood (level-2), and regional (level-3) categories. The pooled data included a total of 27587 women of reproductive age with a median age (IQR) of 29 (21–36) years. The random-effects results revealed that of the total age-adjusted variance in FGM/C, 76.7% was attributed to the between region and neighborhood differences. Despite the large between region variations, only 3.7% was explained by socioeconomic factors. Despite the large contribution of between region and neighborhood differences to variance in FGM/C prevalence, less of this variation was explained by socioeconomic factors. Therefore, it is possible that maternal and reproductive educational programs tailored to such neighborhood differences, beyond socioeconomic factors alone, could contribute to a radical shift in perspective for regions with high prevalence.

The decline in fertility, rapid urbanization and the increase in women’s education levels in Turkey are simultaneous transformations. The coexistence and interaction of these transformations is the focal point for the interpretation of fertility trajectories in Turkey. This article explores Turkey’s heterogeneous fertility structure by examining the fertility trajectories of women between 1949 and 1978 cohorts. It also examines changes in these trajectories in light of Turkey’s fertility decline and interprets those changes through comparisons of women whose fertility behaviors are similar. Using three waves (1998, 2008 and 2018) of the Turkey Demographic and Health Survey data, we employed sequence analysis to calculate fertility trajectories and form clusters from these trajectories. The background similarities of women in the same fertility clusters were investigated with distance analysis, and we calculated predicted probabilities from multinomial logistic regression results and predicted cluster membership. The heterogeneous nature of fertility in Turkey during the demographic transition period shaped the transition process and it can be predicted that such heterogeneity will shape post-transition fertility. The behavior of having two children became the norm during this period, and greater spacing between births or even stopping after the first child became a preferred option among educated women who grew up in cities. For women who grew up in rural areas and uneducated women, we observed a transition from higher parities to three-norm.