At the basis of many important research questions is causality – does X causally impact Y? For behavioural and psychiatric traits, answering such questions can be particularly challenging, as they are highly complex and multifactorial. ‘Triangulation’ refers to prospectively choosing, conducting and integrating several methods to investigate a specific causal question. If different methods, with different sources of bias, all indicate a causal effect, the finding is much less likely to be spurious. While triangulation can be a powerful approach, its interpretation differs across (sub)fields and there are no formal guidelines. Here, we aim to provide clarity and guidance around the process of triangulation for behavioural and psychiatric epidemiology, so that results of existing triangulation studies can be better interpreted, and new triangulation studies better designed.

We first introduce the concept of triangulation and how it is applied in epidemiological investigations of behavioural and psychiatric traits. Next, we put forth a systematic step-by-step guide, that can be used to design a triangulation study (accompanied by a worked example). Finally, we provide important general recommendations for future studies.

While the literature contains varying interpretations, triangulation generally refers to an investigation that assesses the robustness of a potential causal finding by explicitly combining different approaches. This may include multiple types of statistical methods, the same method applied in multiple samples, or multiple different measurements of the variable(s) of interest. In behavioural and psychiatric epidemiology, triangulation commonly includes prospective cohort studies, natural experiments and/or genetically informative designs (including the increasingly popular method of Mendelian randomization). The guide that we propose aids the planning and interpreting of triangulation by prompting crucial considerations. Broadly, its steps are as follows: determine your causal question, draw a directed acyclic graph, identify available resources and samples, identify suitable methodological approaches, further specify the causal question for each method, explicate the effects of potential biases and, pre-specify expected results. We illustrated the guide’s use by considering the question: ‘Does maternal tobacco smoking during pregnancy cause offspring depression?’.

In the current era of big data, and with increasing (public) availability of large-scale datasets, triangulation will become increasingly relevant in identifying robust risk factors for adverse mental health outcomes. Our hope is that this review and guide will provide clarity and direction, as well as stimulate more researchers to apply triangulation to causal questions around behavioural and psychiatric traits.

Developing an appropriate context-based school-age obesity prevention programme, understanding the root causes of obesity in real-life situations is vital. The objectives of this study were to explore the risk factors of school-age obesity based on Ecological System Theory (EST) and develop mutual problem-solving guidelines for school-age obesity prevention.

Participation Action Research (PAR) was used as the study design. The data collection employed focus group discussions, in-depth interviews, participant’s observations, together with the procedures of Appreciation, Influence, and Control (AIC) with 55 school key informants.

Risk factors supported by EST at all level included high-calorie intake; sedentary lifestyles; perceptions of ‘Chubby are cute’; indulgent parenting, including limited exercise area in school. PAR process guarantees the sustained context-based prevention guidelines.

The results could be used as a policy-driven for school-based participation and environmental support in order to promote health-promoting school.

West Virginia is a rural state with high rates of type 2 diabetes (T2DM) and prediabetes. The Diabetes Prevention and Management (DPM) program was a health coach (HC)-led, 12-month community-based lifestyle intervention.

The study examined the impact of the DPM program on changes in glycosylated hemoglobin (A1C) and weight over twelve months among rural adults with diabetes and prediabetes. Program feasibility and acceptability were also explored.

An explanatory sequential quantitative and qualitative one-group study design was used to gain insight into the pre- and 12-month changes to health behavior and clinical outcomes. Trained HCs delivered the educational sessions and provided weekly health coaching feedback. Assessments included demographics, clinical, anthropometric, and qualitative focus groups. Participants included 94 obese adults with diabetes (63%) and prediabetes (37%). Twenty-two participated in three focus groups.

Average attendance was 13.7 ± 6.1 out of 22 sessions. Mean weight loss was 4.4 ± 11.5 lbs at twelve months and clinical improvement in A1C (0.4%) was noted among T2DM adults. Program retention (82%) was higher among older participants and those with poor glycemic control. While all participants connected to a trained HC, only 72% had regular weekly health coaching. Participants reported overall acceptability and satisfaction with the program and limited barriers to program engagement.

Our findings suggest that it is feasible to implement an HC-led DPM program in rural communities and improve A1C in T2DM adults. Trained HCs have the potential to be integrated with healthcare teams in rural regions of the United States.

Mandatory folic acid fortification of enriched grains has reduced neural tube defect prevalence in several countries. We examined salt as an additional vehicle for folic acid fortification. The primary objective was to examine the change in serum folate concentration after 1 month of consumption of fortified iodised salt with folic acid (FISFA) among women of reproductive age. The secondary objectives were to examine (1) the feasibility of implementing FISFA intervention and (2) the acceptability of FISFA.

We conducted a pre–post intervention study (January–April 2023). Participants received a FISFA saltshaker with the study salt (1 g of sodium chloride salt fortified with 100 mcg of folic acid) to use instead of regular table salt for 1 month. Serum folate was measured using the Elecsys Folate-III immunoassay method at baseline and 1-month endpoint. Change in serum folate was assessed using a two-tailed Wilcoxon signed rank test for paired samples.

Metropolitan city, Southern USA.

Non-pregnant, 18–40-year-old women who lived alone/with a partner.

Thirty-two eligible women consented to participate, including eleven non-Hispanic-White, eleven non-Hispanic-Black and ten Hispanic. Post-intervention, there was a significant increase in median serum folate concentration of 1·40 nmol/l (IQR 0·74–2·05; P < 0·001) from 24·08 nmol/l to 25·96 nmol/l in an analytical sample of n 29. An increase was seen in 28/29 (93 %) participants. Feasibility: 100 % study consent and compliance. FISFA acceptability: 25 d average use; 1·28 g average daily intake; 96·7 % and 90 % reported taste and colour of FISFA as highly acceptable, respectively.

FISFA is an effective approach to increasing serum folate concentrations among women of reproductive age. Findings should be replicated in a larger study.

Exposure to flood, one of the most widespread disasters caused by natural hazards, increases the risk of drowning. Driving through flooded waterways is a cause of death due to flood-related drowning, especially in flood-prone areas. This study aimed at identifying the risk factors for motor vehicle–related drowning in floods and its prevention strategies.

International and national databases (WOS, PubMed, Scopus, Google Scholar, Magiran, and SID) were searched in the time span from 2000 to 2022. The studies investigating the risk factors relevant to land motor vehicle–related drowning in floods and its prevention strategies were included and analyzed using thematic content analysis.

In 14 eligible studies, risk factors for land motor vehicle–related drowning in floods were identified and categorized in 3 subthemes: driver (3 categories: socio-demographic characteristics, knowledge and attitude, and beliefs); technology (1 category: land motor vehicles); and environment (2 categories: physical and socio-economic environment). Physical and structural measures (1 category: road safety improvement) and nonstructural measures (4 categories: research and education and raising awareness, risk management, promoting social-cognitive beliefs, and reconstruction and improvement of legal infrastructure) were proposed as drowning prevention strategies.

The knowledge, attitude, and belief of the driver; the vehicle; and the environment were the most important risk factors of driving through flooded waterways. These factors should be considered when designing programs and physical and structural strategies for future interventions to curb this dangerous and potentially fatal driving behavior.

Different aspects of social relationships (e.g., social network size or loneliness) have been associated with dementia risk, while their overlap and potentially underlying pathways remain largely unexplored. This study therefore aimed to (1) discriminate between different facets of social relationships by means of factor analysis, (2) examine their associations with dementia risk, and (3) assess mediation by depressive symptoms.

Thirty-six items from questionnaires on social relationships administered in Wave 2 (2004/2005) of the English Longitudinal Study of Ageing (n = 7536) were used for exploratory and confirmatory factor analysis. Factors were then used as predictors in Cox proportional hazard models with dementia until Wave 9 as outcome, adjusted for demographics and cardiovascular risk factors. Structural equation modeling tested mediation by depressive symptoms through effect decomposition.

Factor analyses identified six social factors. Across a median follow-up time of 11.8 years (IQR = 5.9–13.9 years), 501 people developed dementia. Higher factor scores for frequency and quality of contact with children (HR = 0.88; p = 0.021) and more frequent social activity engagement (HR = 0.84; p < 0.001) were associated with lower dementia risk. Likewise, higher factor scores for loneliness (HR = 1.13; p = 0.011) and negative experiences of social support (HR = 1.10; p = 0.047) were associated with higher dementia risk. Mediation analyses showed a significant partial effect mediation by depressive symptoms for all four factors. Additional analyses provided little evidence for reverse causation.

Frequency and quality of social contacts, social activity engagement, and feelings of loneliness are associated with dementia risk and might be suitable targets for dementia prevention programs, partly by lowering depressive symptoms.