Background: Perinatal depression (PND) in low‐resource areas is a significant concern that imposes a substantial burden on both families and societies. Although many studies have explored rural PND, there is a lack of systematic synthesis of the existing research. This study aimed to estimate the global prevalence of PND among rural women and to summarize its determinants.Methods: Comprehensively electronic searches were performed across eight English databases. Two reviewers independently assessed the eligibility of the study and extracted the relevant data. Any inconsistencies were resolved through discussion with a third reviewer. Prevalence estimates were calculated using a random‐effects meta‐analysis model. Subgroup analysis, sensitivity analysis, and meta‐regression were employed to examine the source of heterogeneity. In addition, a narrative synthesis of the influence factors reported in the included studies was provided.Results: The search identified 17,810 studies, of which 86 were included in the analyses. The pooled prevalence of PND in rural areas was 22.1% (95% CI 19.0%–25.3%, p < 0.001, I² = 99.2%). Subgroup analyses indicated higher PND prevalence in low‐income (24.5%) and lower middle‐income countries (22.8%). Additionally, PND prevalence was greater when assessed using self‐reported screening instruments (22.8%) compared to diagnostic interviews (17.6%). Major risk factors included violence, antenatal psychiatric disorder, low family income, male‐child preference, and food insecurity, while positive social support and higher levels of education were protective factors.Conclusions: Our findings suggest that the prevalence of PND is higher in rural areas compared to global data, particularly in low‐income and lower middle‐income countries. To improve rural maternal mental health, it is essential to develop measures targeting modifiable risk factors for PND, including promoting gender equality, implementing antiviolence initiatives, and strengthening economic support systems. Addressing these factors can help reduce the burden of PND and enhance the well‐being of mothers in rural communities.

China’s three-child policy was implemented in May 2021 to stimulate a rise in fertility levels. However, few previous studies have explored fertility intentions to have a third child and have only focused on childless or one-child populations, resulting in a gap in findings between fertility intention and fertility behavior. Thus, we conducted a nationwide cross-sectional study on 1308 participants with two children. Results showed that only 9.6% of participants reported planning to have a third child and 80.2% of the population had heard of the policy but had no idea of the detailed contents. Participants with two daughters (OR = 3.722, 95% CI = 2.304–6.013) were willing to have one more child. Instrumental values (OR = 1.184, 95% CI = 1.108–1.265) and policy support (OR = 1.190, 95% CI = 1.124–1.259) were the facilitators. Perceived risk (OR = 0.883, 95% CI = 0.839–0.930) and higher educational level (OR = 0.693, 95% CI = 0.533–0.900) were the leading barriers to having one more child. Therefore, the government should deepen parents’ understanding of the “three-child policy” and devise ways of reducing the negative impacts of having a third child to boost the intention to have more children. Our proposed approach can also be used to better understand the reasons for low fertility rates in other countries.

Objective: This study aimed to assess the nutritional status and sarcopenia in older people living in nursing homes. Methods: This cross-sectional study enrolled 386 older adults in nursing homes in Hunan Province, China. Assessments included the Mini Nutritional Assessment Short Form for nutrition risk, Dietary Diversity Score for dietary diversity and Mini Mental State Examination for cognitive status. Sociodemographic (e.g., age, sex and educational level), health-related characteristics (e.g., food intake, self-care status and medication), body composition (e.g., body mass index [BMI], protein, body fat mass [BFM], percent body fat [PBF], skeletal muscle index [SMI] and total body water [TBW]) and anthropometric parameters data (e.g., calf circumference [CC], upper arm circumference [UAC], handgrip and gait speed) were also collected. Malnutrition and their associated risk were analyzed by multivariable Poisson regression analysis. Results: In total, 32.4% of participants (n = 125) were at risk of malnutrition and 49.7% (n = 192) suffered from sarcopenia. Nutritional status was positively associated with age (risk ratio [RR] = 1.03), sarcopenia (RR = 1.88), tooth loss affecting food intake (RR = 1.45), low self-care status (RR = 1.82) and moderate/inadequate dietary diversity (RR = 2.04) and negatively associated with one child (RR = 0.27), BMI (RR = 0.82), protein (RR = 0.76), BFM (RR = 0.91), PBF (RR = 0.94), SMI (RR = 0.65), TBW (RR = 0.94), CC (RR = 0.89) and UAC (RR = 0.86). Conclusions: Age, number of children, sarcopenia, food intake, self-care status, dietary diversity and body composition were associated with malnutrition among nursing home residents. For vulnerable groups, researchers should focus on raising the body composition indicators, such as BMI, protein, BFM, SMI and TBW and measuring CC and UAC for initial screening.

Background: Postpartum depression (PPD) significantly affects the welfare of mothers, infants, families, and communities. Mothers in rural areas often face low incomes, poor social security, low education levels, and inadequate medical services. These specific cultural, social, and economic aspects have led to a worsening of PPD in rural areas. However, the current situation of PPD among women in rural areas of China is still insufficiently explored.Aim: This study aims to explore the prevalence and risk factors of PPD among women in low‐income developing rural areas of China.Methods: A cross‐sectional design was used in this study. Edinburgh Postnatal Depression Scale (EPDS) was applied to evaluate PPD symptoms. General demographic questionnaire, obstetrics‐/pediatrics‐related questionnaire, and psychosocial‐related questionnaire were adopted. Abuse Assessment Screen (AAS) was utilized to assess experienced intimate partner violence during pregnancy and postpartum. Social Support Rating Scale (SSRS) was utilized to measure their levels of social support.Results: Of the 467 participants, the overall prevalence of PPD among women in rural areas of China was 16.5%, and the average EPDS score was 8.35 (SD = 4.50). PPD occurred most frequently at 7–9 months postpartum (33.8%). Six factors associated with PPD were whether the sex of the baby was in line with the family’s expectations, monthly income of partners, social support, IPV during pregnancy and childbirth, and negative life events in the last 1 year, as well as physical and mental exhaustion from caring for a baby.Conclusions: This study sheds light on the prevalence and various risk factors associated with PPD among women residing in low‐income developing rural areas of China. The findings highlighted the need for targeted interventions and support systems designed to address the specific socioeconomic and cultural difficulties encountered by rural mothers.