Social isolation and loneliness have been linked to adverse health outcomes such as depression in old age. However, limited data exist on the association of loneliness and social isolation with probable depression (PD) in low- and middle-income countries (LMICs), while psychosocial mediators are largely unknown. This study investigates the individual and joint associations of social isolation and loneliness with PD among older adults in Ghana. It quantifies the extent to which psychosocial factors mediate the associations. Cross-sectional data from the Aging, Health, Well-being, and Health-seeking Behaviour Study were analyzed. PD was defined as moderate to severe depressive symptoms with the Center for Epidemiologic Studies Depression (CES-D-9) scale. Loneliness and social isolation were assessed with the University of California, Los Angeles 3-item loneliness scale and the Berkman-Syme Social Network Index, respectively. Multivariable logistic models and PROCESS macro bootstrapping mediation analyses were performed. Among the 1,201 adults aged ≥50 years (Mage = 66.1 ± 11.9 years, 63.3% women), 29.5% PD cases were found. The prevalence of social isolation and loneliness was 27.3% and 17.7%, respectively. Loneliness (OR = 3.15, 95% CI = 3.26–5.28) and social isolation (OR = 1.24, 95% CI = 1.10–1.41) were independently associated with higher odds of PD. The loneliness and PD association was modified by spatial location (Pinteraction = 0.021); thus, the association was more pronounced in rural areas (OR = 7.06) than in urban areas (OR = 3.43). Psychosocial factors (e.g. sleep problems) mediated the loneliness/social isolation and PD association. Loneliness and social isolation were independently associated with a higher likelihood of PD, and psychosocial factors mediated the associations. Interventions to reduce PD in later life should also consider addressing loneliness and social isolation, as well as sleep problems.

Gestational diabetes mellitus (GDM) is a common medical condition during pregnancy and is linked to short- and long-term complications for both mothers and offspring. However, there is limited information regarding poor glycaemic control in Malaysia. This study aims to determine the predictors of poor glycaemic control among women with GDM and to explore women’s perceptions and experiences in self-managing glycaemic control. An explanatory sequential mixed methods study was conducted among women with GDM in Northern Terengganu. A proportional-to-size stratified sampling method was used in quantitative research to obtain 238 samples. Logistic regression was applied to determine associations between factors and poor glycaemic control. Then, purposive sampling was done in qualitative inquiry to obtain 12 samples. Thematic analysis was applied to identify recurring themes. The data from both quantitative and qualitative inquiry were then combined to answer research questions. Dietetic counselling (AOR = 2.95; 95% CI: 1.41, 6.17; p-value=0.004) and diet self-efficacy (AOR = 0.78; 95% CI: 0.61, 0.98; p-value=0.040) were associated with poor glycaemic control. Six themes that emerged from the interviews were: fear and worry; knowledge and motivation; dietary preferences and beliefs; family factors; occupational factors; and availability and affordability. The findings provide useful evidence for healthcare providers in delivering comprehensive health education and providing care for women with GDM.

The objective of this study is to assess the effects of the configuration, size, and density of family and personal networks on women’s current fertility in Ouagadougou. The association between women’s reproductive histories and their social networks was evaluated using Poisson regression models and fairly original data on these networks. The study is based on three family configurations: ‘Restricted’ (children and friends), ‘Kinship’ (blood or marital relatives), and ‘Sibling’ (brothers and sisters). Results show that the type of family configuration has a significant effect on current fertility. ‘Kinship’ and ‘Sibling’ configurations are associated with higher current fertility, while the ‘Restricted’ configuration is associated with lower fertility. Regarding the size and density of the network, the findings indicate that network size and density are negatively associated with current fertility. These results highlight the need to take social networks into account in strategies aimed at controlling fertility in the city of Ouagadougou.

Family planning programmes in sub-Saharan Africa (SSA) often disseminate the proposition that birth spacing improves child survival. Yet, there are few examinations of this hypothesis that benefit from longitudinal data. This paper addresses this gap using 15 years of prospective data from three rural districts of Tanzania. The effect of birth interval durations on the risk of childhood mortality was estimated by fitting Weibull parametric hazard regression models with shared frailties to a dataset that comprised records of reproductive events and their succeeding survival trajectories of 25,762 mother-child dyads that lived in the sentinel areas of the Ifakara and Rufiji Health and Demographic Surveillance Systems from 2000 to 2015. The analysis was motivated by two hypotheses: First, that relatively short subsequent and preceding birth intervals would be associated with heightened risks of child mortality; however, that the effects of short subsequent birth intervals would be most pronounced among children between 12 and 59 months of age; and second, that the effects of short preceding birth intervals would be most acute during the neonatal and post-neonatal period. Results, which were adjusted for confounder effects at the individual, household, and contextual levels, demonstrated significant associations between subsequent and preceding birth interval durations and childhood mortality risk. Regarding subsequent birth intervals, relative to birth spacing of less than 18 months, durations 24–35 and ≥36 months were associated with 1–5-year-old mortality risks that were 0.29 and 0.21 times lower. Relative to preceding birth intervals of less than 18 months, those of 24–35 months were associated with a neonatal mortality risk that was 0.48 lower. Compared to the same referent group, preceding birth intervals of 18–23, 24–35, and ≥36 months were significantly associated with 12–23-month-old mortality risks that were 0.20, 0.39, and 0.33 times lower. The findings are compared with those from similar studies held in SSA, and the potential for family planning programmes to contribute to improved child survival in settings, such as Tanzania, is discussed.

This study presents a revised estimation of the prevalence of female genital mutilation/cutting (FGM/C) among migrant women and second-generation girls in Italy as of 1 January 2023. The study is based on an enhanced indirect estimation of the prevalence among migrants and data on first- and second-generation women legally residing in Italy as of 1 January 2023. The study estimates that approximately 88,600 women aged 15 and over have undergone FGM/C in Italy, representing 46% of migrant women from practising countries. Notably, around one-third of these women are over 50 years old, indicating that FGM/C remains a significant health concern beyond childbearing age. Among foreign-born women, 46.5% are estimated to be affected, compared to 22.5% of Italian-born women. The research also identifies approximately 16,000 girls under 15 at potential risk, with the highest numbers among those of Egyptian, Nigerian, and Senegalese descent. Methodologically, the study underscores the importance of refining indirect estimation techniques to account for the socio-demographic selectivity of migration. While the overall prevalence of FGM/C is decreasing, the persistence of the practice among specific communities calls for targeted interventions. The findings emphasise the need for culturally sensitive awareness campaigns, strengthened legal frameworks, and accessible healthcare services. Furthermore, this research contributes to the European discourse on FGM/C by providing a replicable estimation model adaptable to other non-practising countries receiving migrants from FGM/C-prevalent regions. Periodic replication of such estimates can provide valuable insights into evolving FGM/C trends, aiding policymakers in resource allocation and intervention strategies to eradicate the practice.