Large Health Survey Research Articles

A glossary for social-to-biological research

Research has shown that our socially structured experiences elicit a biological response, leading to the observation that numerous biomarkers (objective biological measures that are representative of various biological processes) are socially patterned. This ‘social-to-biological’ research is of interest to researchers across multiple disciplines and topics and especially to those with an interest in understanding the biological embodiment of the ‘social environment’. Combining social and biomarker data is also of relevance to those examining the biological determinants of social behaviours (for example, the relationship between genetics and certain behaviours like smoking). However, as much of the research involving biomarkers and social data are multidisciplinary, researchers need to understand why and how to optimally use and combine such data. This article provides a resource for researchers by introducing a range of commonly available biomarkers across studies and countries. Because of the breadth of possible analyses, we do not aim to provide an exhaustive and detailed review of each. Instead, we have structured the glossary to include: an easy-to-understand definition; a description of how it is measured; key considerations when using; and an example of its use in a relevant social-to-biological study. We have limited this glossary to biomarkers that are available in large health and social surveys or population-based cohort studies and focused on biomarkers in adults. We have structured the glossary around the main physiological systems studied in research on social to biological transition and those that go across systems and highlight some basic terms and key theoretical concepts.

Application of High-Dimensional Propensity Score Methods to the National Health and Aging Trends Study.

High-dimensional propensity scoring (HDPS) is a method for empirically identifying potential confounders within large healthcare databases such as administrative claims data. However, this method has not yet been applied to large national health surveys such as the National Health and Aging Trends Study (NHATS), an ongoing nationally representative survey of older adults in the United States and important resource in gerontology research. In this Research Practice article, we present an overview of HDPS and describe the specific data transformation steps and analytic considerations needed to apply it to national health surveys. We applied HDPS within NHATS to investigate the association between self-reported visual difficulty and incident dementia, comparing HDPS to conventional confounder selection methods. Among 7 207 dementia-free NHATS Wave 1 respondents, 528 (7.3%) had self-reported visual difficulty. In an unadjusted discrete time proportional hazards model accounting for the complex survey design of NHATS, self-reported visual difficulty was strongly associated with incident dementia (odds ratio [OR] 2.34, 95% confidence interval [CI]: 1.95-2.81). After adjustment for standard investigator-selected covariates via inverse probability weighting, the magnitude of this association decreased, but evidence of an association remained (OR 1.44, 95% CI: 1.11-1.85). Adding 75 HDPS-prioritized variables to the investigator-selected propensity score model resulted in further attenuation of the association between visual impairment and dementia (OR 0.94, 95% CI: 0.70-1.23). HDPS can be successfully applied to national health surveys such as NHATS and may improve confounder adjustment. We hope developing this framework will encourage future consideration of HDPS in this setting.

Association of sociodemographic and lifestyle factors and dietary intake with overweight and obesity among U.S. children: findings from NHANES

Childhood overweight/obesity is a serious problem that has not been adequately addressed. As a key factor affecting weight gain, the association between dietary intake with childhood overweight and obesity is still unclear. The objective of this study was to analyze the association between sociodemographic, lifestyle factors and dietary intake with overweight or obesity. We used data from a large cross-sectional National Health and Nutrition Examination Survey (NHANES). The U.S. children aged 6–15 years with both weight data and dietary data were included. For univariate analysis of sociodemographic data, t tests was performed for continuous variables and chi-square tests was performed for discrete variables. Dietary intakes were described by median and quartile, and differences in dietary intake between children with normal weight and children with overweight or obesity were compared by rank sum tests. A modern statistical shrinkage technique, LASSO regression was used to examine the association between dietary intake and childhood obesity. Our study confirms that Hispanic ethnicity, increasing age, passive exposure to smoking, higher protein intake, and higher caffeine intake were positively associated with child overweight or obesity. Additionally, non-Hispanic White race, higher physical activity levels, higher household income, and higher vitamin A intake were negatively associated with child overweight or obesity.

Physical Activity, Fitness, and Long-Term Risk of Amyotrophic Lateral Sclerosis: A Prospective Cohort Study.

Observational studies have demonstrated an increased amyotrophic lateral sclerosis (ALS) risk among professional athletes in various sports. For moderately increased levels of physical activity and fitness, the results are diverging. Through a cohort study, we aimed to assess the relationship between indicators of physical activity and fitness (self-reported physical activity and resting heart rate) and long-term ALS risk. From a large Norwegian cardiovascular health survey (1985-1999), we collected information on self-reported physical activity in leisure time, resting heart rate, and other cardiovascular risk factors. Patients with ALS were identified through health registries covering the whole population. We fitted Cox proportional hazard models to assess the risk of ALS according to levels of self-reported physical activity in 3 categories (1: sedentary; 2: minimum 4 hours per week of walking or cycling; 3: minimum 4 hours per week of recreational sports or hard training), and resting heart rate modeled both on the continuous scale and as quartiles of distribution. Out of 373,696 study participants (mean 40.9 [SD 1.1] years at inclusion), 504 (41.2% women) developed ALS during a mean follow-up time of 27.2 (SD 5.0) years. Compared with participants with the lowest level of physical activity, the hazard ratio was 0.71 (95% CI 0.53-0.95) for those with the highest level. There were no clear associations between resting heart rate and ALS in the total sample. In men, the hazard ratio of ALS was 0.71 (95% CI 0.53-0.95) for those reporting moderate levels of physical activity and 0.59 (95% CI 0.42-0.84) for those reporting high levels, compared with those reporting low levels. Men with resting heart rate in the lowest quartile had 32% reduced risk of ALS (hazard ratio 0.68, 95% CI 0.49-0.94) compared with those in the second highest quartile. In women, no association was detected between neither self-reported levels of physical activity nor resting heart rate and ALS risk. Indicators of high levels of physical activity and fitness are associated with a reduced risk of ALS more than 30 years later in men, but not in women.

Lifestyle Factors Associated With Frequent Recurrent Headaches in Children and Adolescents: A Canadian Population-Based Study.

Lifestyle behaviors have been postulated to affect headache frequency in youth and are often the primary target of self-management recommendations. Our study aimed to assess the association between various lifestyle factors and frequent recurrent headaches in children and youth. Children and adolescents aged 5-17 years were enrolled in a large cross-sectional Canadian population-based health survey, completed on January 31, 2019. Headache frequency was dichotomized into "approximately once/week or less" or ">once/week" (defined as frequent recurrent headaches). The association between frequent headaches and meal schedules, screen exposure, physical activity, chronotype, and frequent substance use/exposure (alcohol, cigarettes, electronic cigarettes, and cannabis) was assessed using both unadjusted logistic regression models and models adjusted for age/sex. Fully adjusted models examined the odds of frequent headaches according to all exposures. Survey design effects were accounted for using bootstrap replicate weighting. There were an estimated nweighted = 4,978,370 eligible participants in the population. The mean age was 10.9 years (95% CI 10.9-11.0); 48.8% were female; 6.1% had frequent headaches. Frequent headaches were associated with older age (odds ratio [OR] = 1.31, 95% CI 1.28-1.34, p < 0.001) and female sex (OR = 2.39, 95% CI 2.08-2.75, p < 0.001). In models adjusted for age/sex, the odds of frequent headaches decreased with meal regularity (adjusted OR [aOR] = 0.90, 95% CI 0.89-0.92, p < 0.001) and increased with later chronotype (aOR = 1.10, 95% CI 1.05-1.15, p < 0.001) and excess screen exposure (≥21 hours vs none in past week: aOR = 2.97, 95% CI 1.53-5.77, p = 0.001); there was no significant association with reported physical activity (aOR = 0.95, 95% CI 0.67-1.34, p = 0.77). In 12- to 17-year-olds, frequent headaches were associated with frequent alcohol use (≥1/wk vs never: aOR = 3.50, 95% CI 2.18-5.62, p < 0.001), binge drinking (≥5 times in past month vs never: aOR = 5.52, 95% CI 2.95-10.32, p < 0.001), smoking cigarettes (daily vs never: aOR = 3.81, 95% CI 1.91-7.62, p < 0.001), using e-cigarettes (daily vs never: aOR = 3.10, 95% CI 2.29-4.20, p < 0.001), and cannabis use (daily vs never: aOR = 3.59, 95% CI 2.0-6.45, p < 0.001). In the entire sample, daily exposure to smoking inside the house was associated with frequent headaches (aOR = 2.00, 95% CI 1.23-3.27, p = 0.005). Several lifestyle behaviors were associated with frequent headaches in children and youth, such as meal irregularity, late chronotype, prolonged screen exposure, and frequent substance use/exposure, suggesting that these are potential modifiable risk factors to target in this population.

Hearing Loss and Associated 7-Year Cognitive Outcomes Among Hispanic and Latino Adults

ImportanceHearing loss appears to have adverse effects on cognition and increases risk for cognitive impairment. These associations have not been thoroughly investigated in the Hispanic and Latino population, which faces hearing health disparities.ObjectiveTo examine associations between hearing loss with 7-year cognitive change and mild cognitive impairment (MCI) prevalence among a diverse cohort of Hispanic/Latino adults.Design, Setting, and ParticipantsThis cohort study used data from a large community health survey of Hispanic Latino adults in 4 major US cities. Eligible participants were aged 50 years or older at their second visit to study field centers. Cognitive data were collected at visit 1 and visit 2, an average of 7 years later. Data were last analyzed between September 2023 and January 2024.ExposureHearing loss at visit 1 was defined as a pure-tone average (500, 1000, 2000, and 4000 Hz) greater than 25 dB hearing loss in the better ear.Main outcomes and measuresCognitive data were collected at visit 1 and visit 2, an average of 7 years later and included measures of episodic learning and memory (the Brief-Spanish English Verbal Learning Test Sum of Trials and Delayed Recall), verbal fluency (word fluency—phonemic fluency), executive functioning (Trails Making Test–Trail B), and processing speed (Digit-Symbol Substitution, Trails Making Test–Trail A). MCI at visit 2 was defined using the National Institute on Aging-Alzheimer Association criteria.ResultsA total of 6113 Hispanic Latino adults were included (mean [SD] age, 56.4 [8.1] years; 3919 women [64.1%]). Hearing loss at visit 1 was associated with worse cognitive performance at 7-year follow-up (global cognition: β = −0.11 [95% CI, −0.18 to −0.05]), equivalent to 4.6 years of aging and greater adverse change (slowing) in processing speed (β = −0.12 [95% CI, −0.23 to −0.003]) equivalent to 5.4 years of cognitive change due to aging. There were no associations with MCI.Conclusions and relevanceThe findings of this cohort study suggest that hearing loss decreases cognitive performance and increases rate of adverse change in processing speed. These findings underscore the need to prevent, assess, and treat hearing loss in the Hispanic and Latino community.

Abstract B052: Ovarian cancer risk prediction: a systematic assessment of the state of the art and development of a new model

Abstract B052: Ovarian cancer risk prediction: a systematic assessment of the state of the art and development of a new model

A change in social participation affects cognitive function in middle-aged and older Chinese adults: analysis of a Chinese longitudinal study on aging (2011-2018).

One of the biggest challenges facing older adults is cognitive decline and social participation has always been considered a protective factor. However, it is not clear whether social participation predicts cognitive function in this population, rather than depressive symptoms, self-reported health, and activities of daily life, with sufficient capacity to detect unique effects. This study included adults aged 45 and above in China (N = 5,258) who participated in a large national older adult health survey and provided data from 2011, 2013, 2015, and 2018. The unique associations between the predictors of social participation and cognitive function over time and context were evaluated in the Latent Growth Model (LGM). Among the 5,258 participants in our study, an overall cognitive decline was observed. Social participation predicts two dimensions of cognitive function, with a degree of impact comparable to depressive symptoms, self-reported health, and activities of daily life. Among them, social participation exhibits a noteworthy prognostic impact on episodic memory during the same period. The regression coefficient is approximately 0.1 (p < 0.05) after controlling other mixed variables (depressive symptoms, self-reported health, and activities of daily life). In contrast, social participation is also a significant predictor of mental intactness in the same period, with a regression coefficient of 0.06 (p < 0.05), even if all mixed variables are controlled. Over time, the correlation strength of social participation is comparable to other recognized cognitive function prediction indicators, indicating that promoting social participation among middle-aged and older Chinese adults is a meaningful way to improve cognitive function degradation, which has important policy and practical significance.

Validation of an ultra-short global quality of life scale in a large population-based health survey.

Quality of life (QoL) assessment is essential in health-related research and clinical settings, offering insights into individuals' well-being and functioning. This study validated the Essential QoL-3 (EQoL-3), an ultra-short scale assessing essential dimensions of QoL, for use in epidemiological research and clinical settings. Data from a 2021 national survey in Norway (N = 17,487) were used. Three items on the EQoL-3 assess life satisfaction, happiness, and meaningfulness on a 0-10 scale. Discriminant validity was assessed by comparing the EQoL-3 with the Satisfaction with Life Scale (SWLS) and by examining latent mean differences between individuals with adverse life experiences (ALE+) and those without such experiences (ALE-). Convergent validity was evaluated through latent regression analyses comparing the EQoL-3 with a perceived mastery scale and a mental distress scale. The discriminant validity of the EQoL-3 was less than optimal when compared with the SWLS. Nonetheless, a multigroup confirmatory factor analysis revealed that the EQoL-3 score was 1.42 (95% CI = 1.33-1.50, p < 0.001) lower in the ALE+ group compared to the ALE- group, providing support for discriminant validity. Convergent validity was established with a positive association between EQoL-3 and mastery (β = 1.75, 95% CI = 1.70-1.80, p < 0.001) and a negative association between the EQoL-3 and mental distress (β = -2.64, 95% CI = -2.71/-2.59, p < 0.001). The EQoL-3 is a reliable measure of QoL. Its streamlined nature facilitates quick administration, making it a valuable tool for clinicians and researchers in diverse settings. Its inclusion of the eudaimonic dimension, as well as its exclusion of health items in the measure itself, distinguishes it from traditional HQoL measures, making it suitable for mental health and substance use disorder research.

Migration background, eating disorder symptoms and healthcare service utilisation: findings from the Stockholm Public Health Cohort.

From a global perspective, eating disorders are increasingly common, probably because of societal transformation and improved detection. However, research on the impact of migration on the development of eating disorders is scarce, and previously reported results are conflicting. To explore if eating disorder symptom prevalence varies according to birth region, parents' birth region and neighbourhood characteristics, and analyse if the observed patterns match the likelihood of being in specialist treatment. This study uses data from a large population-based health survey (N = 47 662) among adults in Stockholm, Sweden. A general linear model for complex samples, including adjustment for gender and age, was used to explore self-reported eating disorder symptoms. Odds ratios were calculated for individual symptoms. Eating disorder symptoms are substantially more common in individuals born abroad, especially for migrants from a non-European country. This holds true for all surveyed symptoms, including restrictive eating (odds ratio 5.5, 95% CI 4.5-6.7), compensatory vomiting (odds ratio 6.1, 95% CI 4.6-8.0), loss-of-control eating (odds ratio 2.6, 95% CI 2.3-3.1) and preoccupation with food (odds ratio 2.3, 95% CI 1.9-2.8). Likewise, symptoms are more common in individuals with both parents born abroad and individuals living in districts with a high percentage of migrant residents. A gap exists between district-level symptom scores and the likelihood of being in specialist eating disorder treatment. These findings call for oversight of current outreach strategies, and highlight the need for efforts to reduce stigma and increase eating disorder symptom recognition in broader groups.

Scoping review of the methodology of large health surveys conducted in Spain early on in the COVID-19 pandemic.

The use of health surveys has been key in the scientific community to promptly communicate results about the health impact of COVID-19. But what information was collected, where, when and how, and who was the study population? To describe the methodological characteristics used in large health surveys conducted in Spain early on in the COVID-19 pandemic. Scoping review. Inclusion criteria: observational studies published between January 2020 and December 2021, with sample sizes of over 2,000 persons resident in Spain. Databases consulted: PubMed, CINAHL, Literatura Latinoamericana y del Caribe en CC de la Salud, Scopus, PsycINFO, Embase, Sociological Abstracts, Dialnet and Web of Science Core Collection. We analyzed the characteristics of the literature references, methodologies and information gathered in the surveys selected. Fifty five studies were included. Sixty percentage of the studies included had mental health as their main topic and 75% were conducted on the general adult population. Thirteen percentage had a longitudinal design, 93% used the internet to gather information and the same percentage used non-probability sampling. Thirty percentage made some type of sampling correction to reduce coverage or non-response biases, but not selection biases. Sixty seven percentage did not state the availability of their data. Consistent with the extensive use of non-probability sampling without any bias correction in the extraordinary setting created by COVID-19, quality population frameworks are required so that probability and representative samples can be extracted quickly to promptly address other health crises, as well as to reduce potential coverage, non-response and particularly selection biases by utilizing reweighting techniques. The low data accessibility despite the huge opportunity that COVID-19 provided for Open Science-based research is striking.

Predictable profits and losses in a health insurance market with risk equalization: A multiple-contract period perspective

Many social health insurance systems rely on ‘regulated competition’ among insurers to improve efficiency. In the presence of community-rated premiums, risk equalization is an important regulatory feature to mitigate risk-selection incentives in such systems. Empirical studies evaluating selection incentives have typically quantified group-level (un)profitability for one contract period. However, due to switching barriers, a multiple contract period perspective might be more relevant. In this paper, using data from a large health survey (N≈380k) we identify subgroups of chronically ill and healthy individuals in year t and follow these groups over three consecutive years. Using administrative data covering the entire Dutch population (N≈17m), we then simulate the mean per person predictable profits and losses (i.e. spending predicted by a sophisticated risk-equalization model minus actual spending) of these groups over the three follow-up years. We find that most of the groups of chronically ill are persistently unprofitable on average, while the healthy group is persistently profitable. This implies that selection incentives might be stronger than initially thought, underscoring the necessity of eliminating predictable profits and losses for the adequate functioning of competitive social health insurance markets.

117 THE ASSOCIATION BETWEEN SELF-REPORTED SENSORY FUNCTION (VISION AND HEARING) AND COGNITIVE FUNCTION FROM THE IRISH LONGITUDINAL STUDY ON AGEING (TILDA)

Abstract Background With an aging population worldwide and in Ireland, comes more age-related health problems, including problems with hearing and vision. Ageing is also associated with a gradual decline in some cognitive functions. Sensory impairments (both hearing and vision) have been shown to have an association with cognitive impairment, with a greater cognitive decline seen in those with a combined hearing and vision loss. There is a well-established association between sensory and cognitive impairment, however, no study to date has looked at similar data collected in Ireland. The objective of this study is to analyse data from an Irish sample. Methods This study used data collected from Wave 4 of the Irish Longitudinal Study on Ageing (TILDA). Participants with missing data or information were excluded, leaving a complete dataset of 4,612, for analysis. Multiple linear regression analyses were carried out to compare Mini-Mental State Examination (MMSE) scores to self-reported sensory impairment (hearing impairment alone, vision impairment alone and Dual Sensory Impairment (DSI)) while adjusting for several covariates (age, gender, level of education, alcohol consumption, smoking history, depressive symptoms, mobility, loneliness, and physical activity). Results Self-reported fair/poor hearing and self-reported fair/poor vision had statistically significant lower MMSE scores than participants with self-reported excellent/very good/good hearing and self-reported excellent/very good/good vision respectively (hearing estimated standard error: –0.055, p value: 3.67e-11; vision estimated standard error: –0.080, p value: 5.14e-15). Self-reported DSI was associated with lower MMSE scores compared to participants without DSI (DSI estimated standard error: –0.13, p value: 5.55e-13). Conclusion This cross-sectional study and secondary data analysis demonstrated that in older Irish adults there is an association between hearing impairment, vision impairment and dual sensory impairment and lower cognitive function. These findings contribute to the growing body of research done internationally using other large scale health surveys.

Combining parametric and nonparametric models to estimate treatment effects in observational studies.

Performing causal inference in observational studies requires we assume confounding variables are correctly adjusted for. In settings with few discrete-valued confounders, standard models can be employed. However, as the number of confounders increases these models become less feasible as there are fewer observations available for each unique combination of confounding variables. In this paper, we propose a new model for estimating treatment effects in observational studies that incorporates both parametric and nonparametric outcome models. By conceptually splitting the data, we can combine these models while maintaining a conjugate framework, allowing us to avoid the use of Markov chain Monte Carlo (MCMC) methods. Approximations using the central limit theorem and random sampling allow our method to be scaled to high-dimensional confounders. Through simulation studies we show our method can be competitive with benchmark models while maintaining efficient computation, and illustrate the method on a large epidemiological health survey.

Cross-sectional study on the association of periodontitis with arterial hypertension in the Hamburg City Health Study

AimAim of this study was to investigate the association between periodontitis and arterial hypertension, both of which show correlations with classical cardiovascular risk factors and inflammatory activity.Materials and methodsA cross-sectional analysis of data from a large population-based health survey (the Hamburg City Health Study, HCHS) including 5934 participants with complete periodontal examination and blood pressure data, of whom 5735 had medical records regarding anti-hypertensive medication, was performed. Probing depths, gingival recessions, bleeding on probing (BOP), dental plaque, and decayed-missing-filled teeth (DMFT) indices were recorded as measures of oral health. Clinical attachment loss (CAL) per tooth was calculated and periodontitis was staged into three groups (no/mild, moderate, severe). Arterial hypertension was diagnosed based on the participants’ medication history and systolic and diastolic blood pressure values. Logistic regression models were constructed accounting for a set of potential confounders (age, sex, smoking, body mass index (BMI), diabetes, educational level, alcohol intake) and high sensitivity-C-reactive protein (hsCRP).ResultsThe odds of arterial hypertension increased significantly along with periodontitis severity (OR for severe periodontitis: 2.19; 95% CI 1.85–2.59; p < 0.001; OR for moderate periodontitis: 1.65; 95% CI 1.45–1.87; p < 0.001). Participants with moderate or severe periodontitis also had significantly higher age- and sex-adjusted odds of arterial hypertension, which was slightly weakened when additionally adjusted for BMI, diabetes, smoking, educational level, and alcohol intake (OR for severe PD: 1.28, 95% CI 1.04–1.59, p = 0.02; OR for moderate PD: 1.30, 95% CI 1.11–1.52, p = 0.001). The fraction of participants with undertreated hypertension (untreated and poorly controlled hypertension) was considerably larger in participants with severe periodontitis than in those with no/mild periodontitis (50.1% vs. 37.4% for no/mild periodontitis).ConclusionsThe study shows an association between periodontitis and arterial hypertension that is independent of age, sex, diabetes, BMI, smoking, educational level, and alcohol intake. In addition, undertreatment of hypertension was more common in people with severe periodontitis compared with periodontally more healthy people.

The significance of the social and material environment to place attachment and quality of life: findings from a large population-based health survey

BackgroundThere is an international public health interest in sustainable environments that promote human wellbeing. An individual’s bond to places, understood as place attachment (PA), is an important factor for quality of life (QoL). The material environment, such as access to nature (AtN), access to amenities (AtA), or noise, and the social environment, such as social support or loneliness, has the potential to influence PA. The aim of the present study was to explore the relationship between these factors and QoL.MethodsThe study relied on data from 28,047 adults from 30 municipalities in Southern Norway obtained from the Norwegian Counties Public Health Surveys in 2019. Latent regression analyses were used to examine the relationship between the material and social environmental factors and QoL, mediated by PA.ResultsWe found a relationship between social and material environmental factors and PA. Higher AtN and AtA scores were related to an increase in PA, whereas higher perception of noise problems was related to decreased PA scores. When social environment factors were added to the model, they were even stronger predictors of PA and, in turn, QoL through mediated effects. We also found a strong positive association between PA and QoL (unstandardized β = 0.88, 95% CI = 0.87–0.90, p < 0.001). The whole model explained 83% of the variance in PA and 65% of the variance in QoL.ConclusionsTaken together, the findings suggest the relevance of material and social environmental factors for PA and QoL. Therefore, research on public health and QoL should include place-sensitive variables.

Diets with Higher Vegetable Intake and Lower Environmental Impact: Evidence from a Large Australian Population Health Survey.

Increasing the consumption of vegetables is a public health nutrition priority in Australia. This must be achieved in the context of lowering dietary environmental impacts. In this study, a subgroup of 1700 Australian adult daily diets having a higher diet-quality score and a lower environmental impact score was isolated from Australian Health Survey data. These diets were primarily distinguished by their lower content of energy-dense/nutrient-poor discretionary foods. Among these diets, those with higher levels of vegetable intake were characterized by greater variety of vegetables eaten, lower intake of bread and cereal foods, and higher intake of red meat. These diets also had a greater likelihood of achieving recommended intakes for a range of vitamins and minerals. These findings highlighted the importance of considering the total diet in developing strategies to promote healthy and sustainable food consumption, as well as the need to understand the interrelationships between foods that exist in a local cultural context. As vegetables are usually eaten with other foods, higher vegetable consumption in Australia could be supported by encouraging more regular consumption of the types of meals that include larger quantities of vegetables. Our results showed that this was possible while also substantially lowering total dietary environmental impacts.

Danish validation of the Multimorbidity Treatment Burden Questionnaire (MTBQ) and findings from a population health survey: a mixed-methods study

ObjectiveTo validate the Danish Multimorbidity Treatment Burden Questionnaire (MTBQ) and obtain a population-based evaluation of treatment burden.DesignMixed-methods.SettingDanish population-based survey.ParticipantsTranslation by professional translators and an expert group. The scale was tested...

Peking Union Health Application (PUHApp): Modern solution for effective epidemiological survey administration and health promotion

Large scale population-based epidemiological health surveys require effective administration. The diverse phenotype data sets also lead to challenge to quick and visual feedback of health check-up results or meeting the need of self-health management. With the rapid popularization of smartphone use, the smartphone-based applications bring about new inspirations for traditional epidemiological studies to fulfill various health and research needs. In 2015, we designed a software named Peking Union Health Application (PUHApp), which can be used noncommercially via smartphone or modern desktop web browser. PUHApp has been used by over 50 000 individuals to obtain their e-health reports. Diverse health data have been linked to this application. The module of self-health assessment and disease risk prediction modules enable individuals to estimate their physical fitness conveniently. By describing the concepts and usage of PUHApp, we aim to demonstrate its key role as modern solution for effective epidemiological survey administration and health promotion, and to provide practical cases that could be helpful for other researchers.

Is sex lost in translation? Linguistic and conceptual issues in the translation of sexual and reproductive health surveys

Translated questionnaires are increasingly used in population health research. Nevertheless, translation is often not conducted with the same rigour as the process of survey development in the original language. This has serious limitations and may introduce bias in question relevance and meaning. This article describes and reflects on the process of translating a large and complex sexual and reproductive health survey from English into Simplified Chinese. We interrogated assumptions embedded in taken-for-granted translation practice to locate the sociocultural origins of these assumptions. We discuss how terminology and expression related to sexual and reproductive health may lose their conceptual or linguistic significance during translation in three different ways. Firstly, meanings can be lost in the negotiation of meanings associated with linguacultural and geographical variations of terminology. Secondly, meanings can be lost in the clash between everyday and professional sexual and reproductive health discourses. Thirdly, meanings can be lost due to the design of the source questionnaire and the intended mode of survey administration. We discuss ways to help overcome the unavoidable translation challenges that arise in the process of translating English sexual and reproductive health surveys for migrants from non-English speaking backgrounds.