Self-rated Health and Social Capital Among Aging People Across the Urban–Rural Dimension

Background

Previous studies have found self-rated health to be associated with social capital. However, there is lack of studies examining social capital among aging people and its impact on self-rated health in the urban–rural context.

Purpose

The purpose of this study was to investigate associations between self-rated health and indicators of social capital (trust, various social contacts, social participation, and access to help) among aging people living in urban and rural areas in Finland.

Method

A postal survey was conducted in 2002 among men and women born in 1926–1930, 1936–1940, or 1946–1950 and dwelling in 14 municipalities in the Päijät-Häme hospital district in Finland. A total of 2,815 participants represented 66% of the original stratified (by age, gender, and municipality) sample. Logistic regression analyses were used to examine the associations.

Results

Active social participation and easy access to help from others were associated with good self-rated health, especially in the urban and sparsely populated rural areas. Trust was a particularly important correlate of subjective health in the urban area, though its significance diminished after adjusting to all background variables. No overall disparities in self-rated health between the areas emerged. Social participation and access to help as indicators of social capital seem to be important resources when aging men and women assess their subjective health.

Conclusion

Increasing efforts to encourage social participation and facilitate access to help from other persons should be included among the key priorities in community health promotion.     

Serological microarray for detection of HSV-1, HSV-2, VZV, and CMV antibodies

The seroprevalence of human herpesviruses is high and reactivations occur frequently. A microarray was designed and tested for the detection of IgG and IgM antibodies for Puumala hantavirus (PUUV) and IgG antibodies against four herpesviruses. Initially, a microarray platform was set up using an unrelated in-house antigen, PUUV recombinant nucleocapsid protein, to optimize the protocol for the detection of antibodies. Detection of the four herpesviruses was set up in a microarray using the recombinant proteins of herpes simplex virus (HSV) glycoprotein G1 and G2, varicella-zoster virus (VZV) glycoprotein E, and cytomegalovirus (CMV) pp150 phosphoprotein.The results of the PUUV panel were in good agreement with the PUUV IgG immunofluorescent assay and IgM enzyme immunoassay (EIA). Seropositive and negative clinical reference panels were tested for herpesviruses by the serological microarray, and the results were compared to those of individual EIAs used for standard diagnostic purposes.The serologic microarray for HSV, VZV and CMV antibody detection gave good specificities for IgG. However, sensitivities of the assay varied depending on the herpesvirus detected. The serological microarray showed potential for screening purposes. The microarray based analyses were easy to perform, and HSV-1, HSV-2, VZV, and CMV antibodies could be detected on the same microarray.     

Affective and psychotic symptoms relate to different types of P300 alteration in depressive disorder

BACKGROUND: Previous findings of P300 alterations in depressive disorder have been controversial. We therefore used multivariate methods to study the relationship between P300 and affective and psychotic symptoms in depressive disorder. METHODS: The P300 of 22 psychotropic drug-free depressed out-patients was registered within an auditory oddball paradigm. Affective and psychotic symptoms were evaluated using the depression and psychoticism subscales of SCL-90. The relationship of P300 amplitude and latency with affective and psychotic symptoms was assessed with multiple linear regression analysis and ANOVA. P300 values of the depressed patients were also compared with those of 22 healthy controls. RESULTS: Psychotic symptoms were associated with an overall reduction in P300 amplitude, which was pronounced in the left temporocentral electrode chain (T3, C3, Cz). Psychotic symptoms were also associated with a prolonged P300 latency. Affective symptoms were associated with a relational amplitude reduction at the right temporal scalp sites. There were no statistically significant differences in P300 amplitude or latency between depressed and control-subjects. LIMITATIONS: Rather small number of study subjects. The psychotic scores were low in all subjects. Multiple statistical analyses were used, and no specific a priori hypothesis was tested. CONCLUSIONS: In depressive disorder, affective and psychotic symptoms are associated with different types of P300 alteration, which may indicate different underlying neurobiological processes.     

Estimation of genetic risk for type 1 diabetes

The most important gene loci defining risk of type 1 diabetes mellitus (T1DM) are located within the HLA gene region. HLA-DQ molecules are of primary importance but HLA-DR gene products modify the risk conferred by HLA-DQ. The risk associated with an HLA genotype is defined by the particular combination of susceptible and protective alleles. The highest risk is associated with a combination of two different risk haplotypes (7% risk to develop T1DM in Finland) whereas protective genotypes covering 69% of population have a risk of less than 0.2%). The complicated analysis of HLA genotypes is simplified by strong linkage disequilibrium between HLA-DRB1, -DQA1 and -DQB1 loci. In many cases one can deduce the alleles of other loci based on determination of the alleles in one locus. Differences between various populations in the frequency of marker alleles and in the linkages between them has to be taken into account. We have developed PCR based typing methods that utilize blood spot samples, microtiter plate format and lanthanide labeled oligonucleotide probes to define HLA-DQ and -DR alleles relevant for T1DM risk. Typing is run stepwise so that after initial HLA-DQB1 typing only those samples will be further analyzed in which -DQA1 or -DRB1 typing is informative and expected to contribute to the risk estimation. This method has been used to screen more than 50,000 newborn infants in Finland over a time period of 6 years, and it has been able to identify most children who have developed T1D during the follow-up period. The efficiency of the procedure has also been tested in Finnish and Greek populations.     

Nasal swab versus nasopharyngeal aspirate for isolation of respiratory viruses

To determine the usefulness of nasal swabs as a simple method for detection of respiratory viruses, we compared nasal swabs and nasopharyngeal aspirates obtained at the same time from the opposite nostrils of 230 children with upper respiratory infection. The sensitivity of nasal swabs was comparable to that of nasopharyngeal aspirates for the detection of all major respiratory viruses except respiratory syncytial virus.     

Increased copy number at 17q22-q24 by CGH in breast cancer is due to high-level amplification of two separate regions

Studies by comparative genomic hybridization (CGH) have defined a chromosomal site at 17q22-q24 that is often overrepresented in breast cancer, neuroblastoma, and several other tumor types. Due to the limited resolution and dynamic range of CGH, it remains unclear whether this gain reflects high-level amplification of small subregion(s) or low-level gain of most of the distal 17q. We used 32 physically mapped 17q probes to construct more accurate copy number profiles for 14 breast cancer cell lines by interphase fluorescence in situ hybridization (FISH). Six cell lines (43%) showed an increased copy number of the 17q22-q24 region by CGH, and seven (50%) by FISH. FISH copy number profiles had a substantially higher dynamic range than did CGH profiles. FISH revealed two independent, highly amplified regions (A and B) at 17q23, separated by about 5 Mb of non-amplified DNA. These regions were distinctly telomeric from the ERBB2 gene locus. However, region A was often co-amplified with ERBB2, whereas B was amplified in cell lines that showed no ERBB2 amplification. We conclude that distal 17q gains recently discovered in breast cancer by CGH are due to high-level amplifications of two different regions at 17q23. This chromosomal region has previously been reported to undergo allelic loss and therefore was thought to harbor a tumor suppressor gene. The present FISH data provide support for the presence, and a starting point for the positional isolation, of 17q23 genes whose upregulation by amplification may play a role in the progression of breast cancer and many other tumor types. Genes Chromosomes Cancer 20:372–376, 1997. © 1997 Wiley-Liss, Inc.     

Gender differences in age and BMI distributions in partial upper airway obstruction during sleep

The obstructive sleep apnea-hypopnea syndrome occurs more frequently and with higher apnea-hypopnea indices in men than in women. To investigate the gender differences we extended our respiratory analyses during sleep to cover not only periodic obstruction (apnea and hypopnea) but also nonperiodic partial upper airway obstruction during sleep and their associations with increasing age or body mass index (BMI). The clinical sleep recordings with the static-charge-sensitive bed (SCSB) and oximeter were reviewed in 233 age and BMI-matched men-women pairs. Periodic obstruction increased with increasing BMI only in men. Nonperiodic partial obstruction increased with moderate to morbid obesity in women and men after the age of 65 years. Our findings suggest that while partial upper airway obstruction increases with increasing age and BMI in both genders, men have a gender specific BMI dependent predisposition for periodic obstruction (obstructive sleep apnea). The apnea-hypopnea index is likely to underestimate the impact of sleep-disordered breathing, particularly in elderly patients.     

Prediction of inspiratory flow shapes during sleep with a mathematic model of upper airway forces

STUDY OBJECTIVES: To predict the airflow dynamics during sleep using a mathematic model that incorporates a number of static and dynamic upper airway forces, and to compare the numerical results to clinical flow data recorded from patients with sleep-disordered breathing on and off various treatment options. DESIGN: Upper airway performance was modeled in virtual subjects characterized by parameter settings that describe common combinations of risk factors predisposing to upper airway collapse during sleep. The treatments effect were induced by relevant changes of the initial parameter values. SETTING: Computer simulations at our website (http://www.utu.fi/ml/sovmat/bio/). PARTICIPANTS: Risk factors considered in the simulation settings were sex, obesity, pharyngeal collapsibility, and decreased phasic activity of pharyngeal muscles. INTERVENTIONS: The effects of weight loss, pharyngeal surgery, nasal continuous positive airway pressure, and respiratory stimulation on the inspiratory flow characteristics were tested with the model. MEASUREMENTS AND RESULTS: Numerical predictions were investigated by means of 3 measurable inspiratory airflow characteristics: initial slope, total volume, and flow shape. The model was able to reproduce the inspiratory flow shape characteristics that have previously been described in the literature. Simulation results also supported the observations that a multitude of factors underlie the pharyngeal collapse and, therefore, certain medical therapies that are effective in some conditions may prove ineffective in others. CONCLUSIONS: A mathematic model integrating the current knowledge of upper airway physiology is able to predict individual treatment responses. The model provides a framework for designing novel and potentially feasible treatment alternatives for sleep-disordered breathing.     

Genetic characterization of new Dobrava hantavirus isolate from Greece

The first complete genome sequence of Dobrava hantavirus isolated from yellow-necked mouse Apodemus flavicollis trapped in the northeastern Greece is described. The S, M, and L segments of the Greek isolate of Dobrava virus are 1673, 3635, and 6532 nucleotides (nt) long, respectively, and encode the nucleocapsid (N) protein of 429 amino acids (aa), glycoprotein precursor of 1135 aa, and the L protein of 2151 aa. N protein contains three cysteine residues conserved in all known hantaviruses, as well as structural domains responsible for the RNA binding and presumable interaction with the apoptosis enhancer Daxx. All cysteine residues and glycosylation sites that are conserved among G1G2 sequences of all hantaviruses species were also found in the Greek isolate. The L protein contains all the polymerase motifs and structural domains found in other hantavirus polymerases. Comparison of the Greek isolate of Dobrava virus with other hantaviruses showed the highest level of sequence homology with Dobrava virus isolate from Slovenia. Other hantaviruses carried by Murinae rodents (Saaremaa, Hantaan, Seoul, and Thailand viruses) were more divergent and hantaviruses carried by Arvicolinae or Sigmodontinae rodents showed the highest genetic diversity with the Greek isolate of Dobrava. The results of phylogenetic analyses confirmed these observations and showed a monophily of all the Dobrava virus strains that, in turn, shared more ancient ancestors first with Saaremaa virus and then with other Murinae-borne hantaviruses.     

Preconception metabolic indicators predict gestational diabetes and offspring birthweight

Pregnancy conditions such as gestational diabetes (GDM) and macrosomia lead to an increased risk of diabetes and cardiovascular disease in the offspring, perpetuating a cycle of poor health. We hypothesized that (1) pre-pregnancy indicators of metabolism would be associated with GDM and birthweight; and (2) the lipid accumulation product (LAP; incorporating waist circumference and triglycerides) and visceral adiposity index (VAI; incorporating waist circumference, triglycerides, and HDL-c) would be better predictors of GDM and birthweight than other indicators. Data from the Cardiovascular Risk in Young Finns Study were linked to the Finnish birth registry for 349 women. BMI, triglycerides, waist circumference, insulin, HOMA-IR, LAP, and VAI at the visit prior to the pregnancy were examined as predictors of GDM and large-for-gestational-age (LGA) using logistic regression with adjustment for age, parity, and smoking. Waist circumference was the strongest predictor of GDM (adjusted odds ratio [aOR] 1.66, 95% confidence interval 1.16–2.38) and LGA (aOR 1.41, 1.00–1.99). For GDM, all markers had similar discrimination; for LGA, the area under the receiver operating curve for waist circumference was significantly higher than for BMI (p?相似文献