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This paper aims to identify the inter-relationships between the social factors that influence epidemiological patterns in the city neighbourhood of Casablanca, Zaragoza (Spain). Data for a cross-sectional survey were collected between January 2008 and April 2008 from a representative random sample of 1032 residents aged more than 15 years. The study interview contained information scales on healthcare behaviours, treatment evaluation, the number of medical consultations in the weeks pervious to the interview and the perceived health status of the respondents, using The Health Perception Questionnaire. The global index (continuous variable) allowed inferences to be made on the individual's perception of his/her own health. The assessment of social vulnerability was based on the occupational, educational and economic conditions of the interviewees. An individual was considered to belong to a vulnerable subeconomic group if he/she had a personal income of 6000 euros or less; or had no formal education or had been educated up to primary school level only; or was not in paid employment at the time of the interview. A descriptive and comparative analysis of the vulnerable and non-vulnerable population groups for perceived and diagnosed health variables was undertaken using parametric and non-parametric tests. A total of 550 interviewees (53.3%) were considered vulnerable people. Low level of instruction (primary or no education) was the main characteristic of this group (356 subjects, 64.7% of those identified as vulnerable). Binary logistic regression was used to analyse the association between belonging to the vulnerable group and a number of health variables adjusted for gender, age and area of residence. The vulnerable group had worse levels of perceived health even when controlled for gender and area of residence. In Casablanca, the place of residence is an important social stratification indicator reflected in the characteristics of the vulnerable population group and its perceived health. [ABSTRACT FROM AUTHOR]

Ageing well involves individuals continuing participating in personal, social and civic affairs even in older age. From this standpoint, limitations in individual's functioning (beyond the mere absence of disease) may drastically impact on how well people becoming older. This study aimed to identify functional status profiles in a nationally representative sample of older adults, using latent class analysis methods. Moreover, it intended to study the how identified classes would be related to health‐related outcomes later in life, as a way to provide some evidence on predictive validity. Data from a nationally representative sample of Spanish older adults (N = 2,118; 56.18% women; M = 71.50 years, SD = 7.76), were used. Profiles were identified according to a large set of functioning indicators from multiple domains using latent class analysis. Outcomes were studied over a 3‐year follow‐up, considering both the individual (quality of life, well‐being and mortality) and institutional level (health service utilisation). As a result, seven profiles were identified: normative profile (showed by most participants), limited cognitive functioning class, limited global functioning class, limited mental and mobility functioning class, poor self‐reported health class, limited sensory functioning class and limited objective functioning class. All the profiles with limitations across domains showed poor outcomes. Multidimensional limitations were related to the worst outcomes, especially when psychosomatic complaints and high feelings of loneliness were reported. To sum up, latent class analysis constitutes a suitable alternative to study population heterogeneity, providing relevant evidence to help making decision in public and community health. [ABSTRACT FROM AUTHOR]