Prevalence Of Poor Mental Health Research Articles

Socio-economic factors linked with mental health during the recession: a multilevel analysis

BackgroundPeriods of financial crisis are associated with higher psychological stress among the population and greater use of mental health services. The objective is to analyse contextual factors associated with mental health among the Spanish population during the recession.MethodologyCross-sectional, descriptive study of two periods: before the recession (2006) and after therecession (2011-2012). The study population comprised individuals aged 16+ years old, polled for the National Health Survey. There were 25,234 subjects (2006) and 20,754 subjects (2012). The dependent variable was psychic morbidity. Independent variables: 1) socio-demographic (age, socio-professional class, level of education, nationality, employment situation, marital status), 2) psycho-social (social support) and 3) financial (GDP per capita, risk of poverty, income per capita per household), public welfare services (health spending per capita), labour market (employment and unemployment rates, percentage of temporary workers). Multilevel logistic regression models with mixed effects were constructed to determine change in psychic morbidity according to the variables studied.ResultsThe macroeconomic variables associated with worse mental health for both males and females were lower health spending per capita and percentage of temporary workers. Among women, the risk of poor mental health increased 6% for each 100€ decrease in healthcare spending per capita. Among men, the risk of poor mental health decreased 8% for each 5-percentage point increase in temporary workers.ConclusionsHigher rates of precarious employment in a region have a negative effect on people’s mental health; likewise lower health spending per capita. Policies during periods of recession should focus on support and improved conditions for vulnerable groups such as temporary workers. Healthcare cutbacks should be avoided in order to prevent increased prevalence of poor mental health.

Gender differences in general mental health, smoking, drinking and chronic diseases in older adults in Jilin province, China

There is little information on gender differences in general mental health, smoking, drinking and chronic diseases in Chinese elderly. We examined the gender differences in general mental health, smoking, drinking and a number of chronic diseases in a large Chinese old population. Multistage stratified cluster sampling was used in this cross-sectional study. A total of 4115 people (2198 women; 1917 men) aged between 60 and 79 years were included and their general mental health, smoking, drinking and chronic diseases were recorded with standardized assessment tools. Multivariate analyses revealed that women were less likely to be current smokers and frequent drinkers, but had higher prevalence of poor mental health compared with their male counterparts. In addition, the prevalence rate of chronic diseases and multi-morbidities were higher in women than that in men (both p values <0.05). Health professionals and policy makers need to pay special attention to the common chronic diseases and poor mental health in older women and higher prevalence of smoking and drinking in men.

A Mental Health Survey of Different Ethnic and Occupational Groups in Xinjiang, China.

Poor mental health has become a serious social and public health-care burden. This cross-sectional study used multistage stratified cluster random sampling to gather mental health information from 11,891 adults (18–60 years) employed in various occupations categorized according to the Chinese Standard Occupational Classification. Mental health was measured by the General Health Questionnaire, and participants exceeding the cut-off score were defined as having poor mental health. The overall prevalence of poor mental health was 23.8%. The prevalence of poor mental health was significantly higher in the Han ethnic group than Kazak ethnic group and in health-care workers, teachers, and civil servants compared to manual workers. Females (odds ratios (OR) = 1.139, 95% confidence intervals (CI): 1.012–3.198) and knowledge workers (1.697, 1.097–2.962) were risk factors for poor mental health, while Kazak ethnicity (0.465, 0.466–0.937), other minority status (non-Han) (0.806, 0.205–0.987), and working ≥15 years in the same occupation (0.832, 0.532–0.932) were protective (p < 0.05). We concluded that the general level of mental health in Xinjiang, China, is higher in the Kazak ethnic group than the Han ethnic group. The prevalence of poor mental health is higher among knowledge workers than in manual workers due to high incidences of poor mental health in civil servants, health-care workers, and teachers.

U.S. Caregivers with Mental Health Problems: Parenting Experiences and Children's Functioning

The 2007 National Survey of Children's Health was used to determine the prevalence of poor mental health among U.S. mothers, fathers, and guardians, specific parenting experiences and children's functioning. More guardians (13.7%) reported poor mental health compared to mothers (7.7%) and fathers (5.3%), generalizing to 4.6 million U.S. caregivers with poor mental health. Caregivers with poor mental health were at least 3 times more likely to report children's problematic functioning after accounting for sociodemographic factors and parenting stress and experiences. Research and clinical activities should recognize poor caregiver mental health as a condition that affects parenting and children's functioning.

택시운전원의 고객응대 노동이 정신건강에 미치는 영향

Purpose: The purpose of this study was to determine the relationship between customer contact service and mental health among Korean taxi drivers. Methods: This was a secondary analysis of data collected from the 2015 Korean Working Conditions Survey. The sample included 496 taxi drivers in South Korea. The effect of customer contact service on mental health was analyzed using logistic regression analysis. The independent variables were general characteristics, working conditions, and hazardous factors in interactive service. Results: The prevalence of poor mental health was 56.3%. Taxi drivers experienced emotional involvement (17.2%), hiding feeling (32.0%), and contact with angry clients (18.3%) in their job. During the first month of their work, 33.7% experienced verbal abuse and 12.3% threats/humiliating behaviors. In bivariate analysis, verbal abuse, threats/humiliating behaviors, and physical violence were associated with mental health of taxi drivers. Multiple logistic regression analysis revealed 'emotional involvement' and 'contact with angry clients' were significant predictors of mental health. Conclusion: The findings of this study may be useful in developing intervention programs to improve the mental health of taxi drivers in South Korea.

Inequalities in mental health in the working population of Spain: a National Health Survey-based study

ObjectiveIn the working population, poor mental health is a significant problem whose prevalence rates and associated factors could differ by gender, especially in a period of socioeconomic changes. The aims of this study were: a) to determine the prevalence of poor mental health in the working population of Spain in 2011; b) to identify the association of this prevalence with socioeconomic and work-related variables for men and women separately; c) to determine if the patterns differ by gender. MethodsA cross-sectional study was conducted with data from the National Health Survey of Spain (2011). Of the 21,007 participants in the survey, we selected 7396 whose employment status was described as “working” The General Health Questionnaire (GHQ-12) was used as a screening tool to detect poor mental health. Prevalences were calculated and bivariate and multivariate logistic regression models were fitted to verify the association between variables. ResultsThe prevalence of poor mental health was higher among women (19.9%) than men (13.9%), the overall prevalence being 16.8%. The variables associated with a higher prevalence were type of contract and work-related variables in men, and age and socioeconomic variables in women. ConclusionsThis study shows that, in the working population of Spain, the prevalence of poor mental health and its related factors differ by gender. Poor mental health is mainly related to socioeconomic variables in women but is mostly associated with work-related variables in men.

Sexual orientation and symptoms of common mental disorder or low wellbeing: combined meta-analysis of 12 UK population health surveys.

BackgroundPrevious studies have indicated increased risk of mental disorder symptoms, suicide and substance misuse in lesbian, gay and bisexual (LGB) adults, compared to heterosexual adults. Our aims were to determine an estimate of the association between sexual orientation identity and poor mental health and wellbeing among adults from 12 population surveys in the UK, and to consider whether effects differed for specific subgroups of the population.MethodsIndividual data were pooled from the British Cohort Study 2012, Health Survey for England 2011, 2012 and 2013, Scottish Health Survey 2008 to 2013, Longitudinal Study of Young People in England 2009/10 and Understanding Society 2011/12. Individual participant meta-analysis was used to pool estimates from each study, allowing for between-study variation.ResultsOf 94,818 participants, 1.1 % identified as lesbian/gay, 0.9 % as bisexual, 0.8 % as ‘other’ and 97.2 % as heterosexual. Adjusting for a range of covariates, adults who identified as lesbian/gay had higher prevalence of common mental disorder when compared to heterosexuals, but the association was different in different age groups: apparent for those under 35 (OR = 1.78, 95 % CI 1.40, 2.26), weaker at age 35–54.9 (OR = 1.42, 95 % CI 1.10, 1.84), but strongest at age 55+ (OR = 2.06, 95 % CI 1.29, 3.31). These effects were stronger for bisexual adults, similar for those identifying as ‘other’, and similar for 'low wellbeing'.ConclusionsIn the UK, LGB adults have higher prevalence of poor mental health and low wellbeing when compared to heterosexuals, particularly younger and older LGB adults. Sexual orientation identity should be measured routinely in all health studies and in administrative data in the UK in order to influence national and local policy development and service delivery. These results reiterate the need for local government, NHS providers and public health policy makers to consider how to address inequalities in mental health among these minority groups.Electronic supplementary materialThe online version of this article (doi:10.1186/s12888-016-0767-z) contains supplementary material, which is available to authorized users.

How are the employed and unemployed affected by the economic crisis in Spain? Educational inequalities, life conditions and mental health in a context of high unemployment.

BackgroundDespite an increasing number of studies on the factors mediating the impact of the economic recession on mental health, research beyond the individual employment status is scarce. Our objectives were to investigate in which ways the mental health of employed and unemployed populations is differently affected by the current economic recession along the educational scale and to examine whether financial strain and social support explain these effects of the crisis.MethodsA repeated cross-sectional study, using two waves of the Andalusian Health Survey in 2007 (pre-crisis) and 2011–2012 (crisis). A population aged between 19 and 64 years was selected. The dependent variable was the Mental Component Summary of the SF-12 questionnaire. We performed Poisson regression models stratified by working status, with period, educational level, financial strain and social support as independent variables. We examined interactions between period and educational level. Age, sex, main earner, cohabitation and partner's working status were considered as covariates.ResultsThe study included 3210 individuals (1185 women) in 2007 and 3633 individuals (1486 women) in 2011–2012. In working individuals the prevalence of poor mental health increased for secondary and complete primary studies groups during crisis compared to the pre-crisis period, while it decreased significantly in the university study group (PR = 0.76, 95 % CI: 0.58–0.99). However, in unemployed individuals prevalence ratios for poor mental health increased significantly only in the secondary studies group (PR = 1.73, 95 % CI: 1.06–2.83). Financial strain and social support yielded consistent associations with mental health in all subgroups. Only financial strain could partly explain the crisis effect on mental health among the unemployed.ConclusionsOur study supports the finding that current economic recession is associated with poorer mental health differentially according to labour market status and educational level. Those with secondary studies may be at risk in times of economic recession. In connection with this, emerging educational inequalities in mental health among the employed population were observed. Our research also suggests a partial mediating role of financial strain for the effects of crisis on poor mental health among the unemployed. Good social support appears to buffer poor mental health in all subgroups but not specifically during crisis period.Electronic supplementary materialThe online version of this article (doi:10.1186/s12889-016-2934-z) contains supplementary material, which is available to authorized users.

Foreclosure and Health in Southern Europe: Results from the Platform for People Affected by Mortgages.

Housing instability has been shown to be related to poorer health outcomes in various studies, mainly in the USA and UK. Affected individuals are more prone to psychiatric (e.g., major depression, anxiety) and physical disorders (e.g., hypertension). This situation has deteriorated with the onset of the economic crisis. One of the most affected countries is Spain, which has high rates of foreclosure and eviction that continue to rise. In response, a civil movement, The Platform for People Affected by Mortgages (PAH), works to provide solutions to its members affected by foreclosure and advocates for the right to decent housing. The aims of this study ware to describe and compare the health status of PAH members from Catalonia to a sample of the general population and to analyze the association between health status and mortgage status, foreclosure stage, and other socioeconomic variables, among members of the PAH. We conducted a cross-sectional study using a self-administered online questionnaire (2014) administered to 905 PAH members in Catalonia (>18 years; 559 women and 346 men). Results were compared with health indicators from The Health Survey of Catalonia 2013 (n = 4830). The dependent variables were poor mental health (GHQ 12 ≥ 3), and poor self-reported health (fair or poor). All analyses were stratified by sex. We computed age-standardized prevalence and prevalence ratios of poor mental and self-reported health in both samples. We also analyzed health outcomes among PAH members according to mortgage status (mortgage holders or guarantors), stage of foreclosure, and other socioeconomic variables by computing prevalence ratios from robust Poisson regression models. The prevalence of poor mental health among PAH members was 90.6 % in women and 84.4 % in men, and 15.5 and 10.2 % in the general population, respectively. The prevalence of poor self-reported health was 55.6 % in women and 39.4 % in men from the PAH, and 19.2 and 16.1 % in the general population, respectively. These health inequalities were independent of socioeconomic status. The prevalence of poor mental health was higher among individuals in the non-payment stage of foreclosure than among those who were up to date with their payments (e.g., PRc = 1.16 [95 % CI 1.04-1.28]). In contrast, self-reported poor health was more prominent in later stages of foreclosure, such as in post-eviction without dation in payment stage in men (PRc = 2.24 [95 %CI = 1.35-3.72]). We observed a considerably higher prevalence of poor mental and self-reported health among male and female PAH members than in the general population. Public policies that tackle housing instability and its consequences are urgently needed in Spain.

Salud mental en adultos mayores atendidos en la red hospitalaria pública de Medellín, Colombia

To determine the prevalence of poor mental health and associated factors in older adults of the Social Enterprise of the State (ESE) Metrosalud. Cross-sectional study using two-stage sampling in hospital units and health centers in the network of the ESE Metrosalud of Medellin. Participants included 342 adults aged 65 and over (57.8% women). poor mental health (measured with the GHQ12), social support (Duke-11); sociodemographic: age, sex, socioeconomic status, educational level, place of residence, marital status and occupation. Study variables were described, the overall prevalence was calculated according to sociodemographic variables. The association of poor mental health with selected variables was estimated by calculating odds ratios with 95% confidence intervals adjusted for possible confounding variables using logistic regression. The senior population without education in both sexes (ORa = 7.61; 95% CI: 2.49 to 23.34), widows (ORa 2.78; 95% CI: 1.21 to 6.40) and men and women with low social support (ORa 3.05; 95% CI: 1.65- 5.66), reported increased risk of poor mental health, compared to their counterparts of reference. We found a high prevalence of poor mental health in the population studied, with differences according to socio-demographic factors, suggesting that the social vulnerability in this group impacts their health status. Health and social policies and strategies that contribute to the welfare of this population group are required.

Individual factors and perceived community characteristics in relation to mental health and mental well-being

BackgroundIt has been argued that though correlated with mental health, mental well-being is a distinct entity. Despite the wealth of literature on mental health, less is known about mental well-being. Mental health is something experienced by individuals, whereas mental well-being can be assessed at the population level. Accordingly it is important to differentiate the individual and population level factors (environmental and social) that could be associated with mental health and well-being, and as people living in deprived areas have a higher prevalence of poor mental health, these relationships should be compared across different levels of neighbourhood deprivation.MethodsA cross-sectional representative random sample of 1,209 adults from 62 Super Output Areas (SOAs) in Belfast, Northern Ireland (Feb 2010 – Jan 2011) were recruited in the PARC Study. Interview-administered questionnaires recorded data on socio-demographic characteristics, health-related behaviours, individual social capital, self-rated health, mental health (SF-8) and mental well-being (WEMWBS). Multi-variable linear regression analyses, with inclusion of clustering by SOAs, were used to explore the associations between individual and perceived community characteristics and mental health and mental well-being, and to investigate how these associations differed by the level of neighbourhood deprivation.ResultsThirty-eight and 30 % of variability in the measures of mental well-being and mental health, respectively, could be explained by individual factors and the perceived community characteristics. In the total sample and stratified by neighbourhood deprivation, age, marital status and self-rated health were associated with both mental health and well-being, with the ‘social connections’ and local area satisfaction elements of social capital also emerging as explanatory variables. An increase of +1 in EQ-5D-3 L was associated with +1SD of the population mean in both mental health and well-being. Similarly, a change from ‘very dissatisfied’ to ‘very satisfied’ for local area satisfaction would result in +8.75 for mental well-being, but only in the more affluent of areas.ConclusionsSelf-rated health was associated with both mental health and mental well-being. Of the individual social capital explanatory variables, ‘social connections’ was more important for mental well-being. Although similarities in the explanatory variables of mental health and mental well-being exist, socio-ecological interventions designed to improve them may not have equivalent impacts in rich and poor neighbourhoods.

Inequalities in mental health in the spanish autonomous communities: a multilevel study.

The aim of this study was to analyze inequalities in the prevalence of poor mental health and their association with socioeconomic variables and with the care network in the Autonomous Communities in Spain. A cross-sectional multilevel study was performed, which analyzed individual data from the National Health Survey in Spain (ENS), in 2006 (n = 29,476 people over the age of 16). The prevalence of poor mental health was the dependent variable, measured by the General Health Questionnaire (GHQ-12 > = 3). Individual and contextual socioeconomic variables, along with mental health services in the Autonomous Communities, were included as independent variables. Models of multilevel logistic regression were used, and odds ratios (OR) were obtained, with confidence intervals (CI) of 95%. The results showed that there are inequalities in the prevalence of poor mental health in Spain, associated to contextual variables, such as unemployment rate (men OR 1.04 CI 1.01-1.07; women OR 1.02 CI 1.00-1.05). On the other hand, it was observed that inequalities in the mental health care resources in the Autonomous Communities also have an impact on poor mental health.

What characterizes persons with poor mental health? A nationwide study in Denmark.

The aim of the study was to identify and characterize groups with poor mental health defined by the SF-12 Mental Component Summary (MCS-12) scale. The study is based on the Danish Health and Morbidity Survey 2005 and includes 10,082 participants (16 years or older). Data were analysed by means of logistic regression models. Men and women with poor mental health are characterized by being single, having a long-term illness, not being able to rely on help from others in case of illness and by feeling that family and friends demand too much of them. Men with poor mental health were further characterized by being a heavy smoker, and having a BMI below 25. Women with poor mental health were further characterized by being 16-44 years old and sedentary in leisure time. The prevalence of poor mental health is higher among women than men, and different factors characterize men and women with poor mental health. The present findings support the notion that both socio-demographics and lifestyle factors are independently related with poor mental health. We suggest taking into account all these areas of life when planning activities to prevent poor mental health and when promoting mental health.

The evolution of mental health in Spain during the economic crisis

We analyse how mental health and socioeconomic inequalities in the Spanish population aged 16-64 years have changed between 2006-2007 and 2011-2012. We observed an increase in the prevalence of poor mental health among men (prevalence ratio = 1.15, 95% CI 1.04-1.26], especially among those aged 35-54 years, those with primary and secondary education, those from semi-qualified social classes and among breadwinners. None of these associations remained after adjusting for working status. The relative index of inequality by social class increased for men from 1.02 to 1.08 (P = 0.001). We observed a slight decrease in the prevalence of poor mental health among women (prevalence ratio = 0.92, 95% CI 0.87-0.98), without any significant change in health inequality.

Impact of economic crisis on mental health of migrant workers: what happened with migrants who came to Spain to work?

To assess changes in mental health in a sample of migrant workers after the eruption of the economic crisis in Spain. 318 migrant workers were interviewed. Mental health, sociodemographic, and economic crisis related variables were obtained through face-to-face (2008) and phone (2011) interviews. Prevalence of poor mental health (PMH) was compared (2011-2008) and multivariate logistic regression models were fitted. Change in prevalence of PMH was higher in men (aOR 4.63; 95 % CI 2.11-10.16). Subgroups of men showing the largest detrimental mental health effects were: unemployed, with low salaries (≤1,200 euros) and those reporting family burden. An increase of PMH was found in women, without significant associations. Mental health of migrant workers in Spain has worsened during the economic crisis.

Poor mental health in Ghana: who is at risk?

BackgroundPoor mental health is a leading cause of disability worldwide with considerable negative impacts, particularly in low-income countries. Nevertheless, empirical evidence on its national prevalence in low-income countries, particularly in Africa, is limited. Additionally, researchers and policy makers are now calling for empirical investigations of the association between empowerment and poor mental health among women. We therefore sought to estimate the national prevalence of poor mental health in Ghana, explore its correlates on a national level, and examine associations between empowerment and poor mental health among women.MethodsWe conducted a cross-sectional analysis using data from a nationally representative survey conducted in Ghana in 2009–2010. Interviews were conducted face-to-face with participants (N = 9,524 for overall sample; n = 3,007 for women in relationships). We used the Kessler Psychological Distress Scale (K10) to measure psychological distress and assessed women’s attitudes about their roles in decision-making, attitudes towards intimate partner violence, partner control, and partner abuse. We used weighted multivariable multinomial regression models to determine the factors independently associated with experiencing psychological distress for our overall sample and for women in relationships.ResultsOverall, 18.7% of the sample reported either moderate (11.7%) or severe (7.0%) psychological distress. The prevalence of psychological distress was higher among women than men. Overall, the prevalence of psychological distress differed by gender, marital status, education, wealth, region, health and religion, but not by age or urban/rural location. Women who reported having experienced physical abuse, increased partner control, and who were more accepting of women’s disempowerment had greater likelihoods of psychological distress (P-values < 0.05).ConclusionsPsychological distress is substantial among both men and women in Ghana, with nearly 20% having moderate or severe psychological distress, an estimate higher than those found among South African (16%) or Australian (11%) adults. Women who are disempowered in the context of intimate relationships may be particularly vulnerable to psychological distress. Results identify populations to be targeted by interventions aiming to improve mental health.

Analyzing State-Based Silver Alert Programs: The Case of North Carolina

Recent discussions about securing the autonomy and safety of older people in a cost-effective way have culminated in the establishment of "Silver Alert" media-alert policies in more than half of US states over the past 5 years. Although these policies have been established with exceptional legislative speed, research has not yet examined how these policies have been implemented across geographic areas. Data from the 587 Silver Alerts activated in North Carolina in 2008, 2009, and 2010 were analyzed. Zero-inflated negative binomial regression and exploratory spatial analyses were employed. Despite a policy focus on older adults and individuals with cognitive impairment, activation of Silver Alerts in a county was not related to the proportion of the population 65 years of age or older or to the prevalence of poor mental health in the county. Rather, a 1-unit increase in the proportion of the population comprised of African Americans increased the rate of Silver Alert activation by a factor of 1.019 (P < 0.01). Additionally, spatial analyses suggested that the number of Silver Alerts in a county was related to its proximity to North Carolina's state capital, Raleigh. These results should be interpreted with caution because an exploratory analytic approach was employed in both regression and spatial analyses. The current mission and implementation of the Silver Alert program should be reviewed, given that significant effects were observed for the proportion of African Americans in a county and the county's distance from the state capital, but not for the proportion of older adults in the county or for the prevalence of impaired mental status.

Factores que determinan la mala salud mental en las personas de 16 a 64 años residentes en una gran ciudad

Know what factors determine the poor mental health in the city of Madrid. Cross-sectional study Health Survey of the City of Madrid (ESCM'05), analyzed 5746, persons aged 16 to 64 years, in the years 2004-2005. Dependent variable was obtained from the General Health Questionnaire (GHQ-12), was considered score above 2. Independent variables included sociodemographic factors, lifestyle, health and environmental issues. The quality of life related to health (HRQOL) was measured with the questionnaire COOP / WONCA. The overall prevalence of poor mental health was 19.2%, p <0.05 for gender, age group 16 to 24 years and lower social classes. The predictors most strongly associated with poor mental health in the multiple regression are: women OR=1.48 (1.23-1.78), minors OR=3.21 (2.40-4.29), immigrant economic OR=1.33 (1.06-1.68), smoking or drinking alcohol OR=1.22 (1.02 -1.49) and 1.31 (1.09 -1.57), chronic disease OR=1.47 (1.21 -1.79), sleeping less 8 hours OR=1.41 (1.17 -1.68), having fair or poor health status perception OR=1.65 (1.22-2.22), self-perceived poor quality of life HRQOL OR=1.18 (1.15-1.22), and limited social activities OR=1.34 (1.07 -1.69) . The mental health problems are highly prevalent in this city. Being woman, young, economic migrant, worse lifestyles, poor quality of life refered or limited social activities are the factors that force to explain the association with poor mental health.

Satisfaction and Depression in German Primary Care Doctors

This issue of the Deutsches Arzteblatt International contains the reports of two studies on job satisfaction (1) and mental health (2) among primary care doctors. These studies appear to have yielded contradictory findings. Primary care doctors’ dissatisfaction with the health-care system was already revealed in an earlier publication (3). The study by Unrath et al. goes farther, showing what seems at first glance to be a link between job dissatisfaction and depression in this subset of physicians. The depressive symptoms that were assessed by the instrument used in this study (a questionnaire) do not merely reflect the sadness from which we all suffer now and then: This becomes obvious from the fact that 17.5% of the respondents said they had taken a psychoactive drug at least once in the past year—a third of them regularly. Thus, among the one-third of the primary care doctors surveyed who responded to the questionnaire, the prevalence of poor mental health seems worrisome, and considerably higher than in the general population. Some allowance must be made, however, for the methodological difficulty of comparing results across different population studies.

Spatial path models with multiple indicators and multiple causes: Mental health in US counties

This paper considers a structural model for the impact on area mental health outcomes (poor mental health, suicide) of spatially structured latent constructs: deprivation, social capital, social fragmentation and rurality. These constructs are measured by multiple observed effect indicators, with the constructs allowed to be correlated both between and within areas. However, in the scheme developed here, particular latent constructs may also be influenced by known variables, or, via path sequences, by other constructs, possibly nonlinearly. For example, area social capital may be measured by effect indicators (e.g. associational density, charitable activity), but influenced as causes by other constructs (e.g. area deprivation), and by observed features of the socio-ethnic structure of areas. A model incorporating these features is applied to suicide mortality and the prevalence of poor mental health in 3141 US counties, which are related to the latent spatial constructs and to observed variables (e.g. county ethnic mix).