M. Reiner

Long-term health benefits of physical activity – a systematic review of longitudinal studies

BackgroundThe treatment of noncommunicable diseases (NCD), like coronary heart disease or type 2 diabetes mellitus, causes rising costs for the health system. Physical activity is supposed to reduce the risk for these diseases. Results of cross-sectional studies showed that physical activity is associated with better health, and that physical activity could prevent the development of these diseases. The purpose of this review is to summarize existing evidence for the long-term (>5 years) relationship between physical activity and weight gain, obesity, coronary heart disease, type 2 diabetes mellitus, Alzheimer’s disease and dementia.MethodsFifteen longitudinal studies with at least 5-year follow up times and a total of 288,724 subjects (>500 participants in each study), aged between 18 and 85 years, were identified using digital databases. Only studies published in English, about healthy adults at baseline, intentional physical activity and the listed NCDs were included.ResultsThe results of these studies show that physical activity appears to have a positive long-term influence on all selected diseases.ConclusionsThis review revealed a paucity of long-term studies on the relationship between physical activity and the incidence of NCD.

Family health climate scale (FHC-scale): development and validation

BackgroundThe family environment is important for explaining individual health behaviour. While previous research mostly focused on influences among family members and dyadic interactions (parent-child), the purpose of this study was to develop a new measure, the Family Health Climate Scale (FHC-Scale), using a family-based approach. The FHC is an attribute of the whole family and describes an aspect of the family environment that is related to health and health behaviour. Specifically, a questionnaire measuring the FHC (a) for nutrition (FHC-NU) and (b) for activity behaviour (FHC-PA) was developed and validated.MethodsIn Study 1 (N = 787) the FHC scales were refined and validated. The sample was randomly divided into two subsamples. With random sample I exploratory factor analyses were conducted and items were selected according to their psychometric quality. In a second step, confirmatory factor analyses were conducted using the random sample II. In Study 2 (N = 210 parental couples) the construct validity was tested by correlating the FHC to self-determined motivation of healthy eating and physical activity as well as the families’ food environment and joint physical activities.ResultsExploratory factor analyses with random sample I (Study 1) revealed a four (FHC-NU) and a three (FHC-PA) factor model. These models were cross-validated with random sample II and demonstrated an acceptable fit [FHC-PA: χ2 = 222.69, df = 74, p < .01; χ2/df = 3.01; CFI = .96; SRMR = .04; RMSEA = .07, CI .06/.08; FHC-NU: χ2 = 278.30, df = 113, p < .01, χ2/df = 2.46, CFI = .96; SRMR = .04; RMSEA = .06, CI .05/.07]. The perception of FHC correlated (p < .01) with the intrinsic motivation of healthy eating (r = .42) and physical activity (r = .56). Moreover, parental perceptions of FHC-NU correlated with household soft drink availability (r = -.31) and perceptions of FHC-PA with the frequency of joint physical activities with the child (r = .51). These patterns were found on the intraindividual and interindividual level.ConclusionsTwo valid instruments measuring the FHC within families were developed. The use of different informants’ ratings demonstrated that the FHC is a family level variable. The results confirm the high relevance of the FHC for individuals’ health behaviour. The FHC and the measurement instruments are useful for examining health-related aspects of the family environment.

Proximity to sports facilities and sports participation for adolescents in Germany

Objectives To assess the relationship between proximity to specific sports facilities and participation in the corresponding sports activities for adolescents in Germany. Methods A sample of 1,768 adolescents aged 11–17 years old and living in 161 German communities was examined. Distances to the nearest sports facilities were calculated as an indicator of proximity to sports facilities using Geographic Information Systems (GIS). Participation in specific leisure-time sports activities in sports clubs was assessed using a self-report questionnaire and individual-level socio-demographic variables were derived from a parent questionnaire. Community-level socio-demographics as covariates were selected from the INKAR database, in particular from indicators and maps on land development. Logistic regression analyses were conducted to examine associations between proximity to the nearest sports facilities and participation in the corresponding sports activities. Results The logisitic regression analyses showed that girls residing longer distances from the nearest gym were less likely to engage in indoor sports activities; a significant interaction between distances to gyms and level of urbanization was identified. Decomposition of the interaction term showed that for adolescent girls living in rural areas participation in indoor sports activities was positively associated with gym proximity. Proximity to tennis courts and indoor pools was not associated with participation in tennis or water sports, respectively. Conclusions Improved proximity to gyms is likely to be more important for female adolescents living in rural areas.

Zum Zusammenhang zwischen sportlicher Aktivität und habitueller Gesundheit und ihrer Wirkungsrichtung

Zusammenhange zwischen sportlicher Aktivitat und Gesundheit einer Person wurden bereits zahlreich thematisiert und interpretiert. Dabei wird zumeist von einer positiven Wirkung der sportlichen Aktivitat auf die Gesundheit ausgegangen. Alternative Erklarungen werden dagegen jedoch nur selten berucksichtigt. Das Ziel des vorliegenden Beitrags ist die Analyse verschiedener Wirkungsrichtungen sowie eine Untersuchung alternativer Erklarungen fur das Zustandekommen des gefunden Zusammenhangs zwischen sportlicher Aktivitat und habitueller Gesundheit. Untersucht wurden im Rahmen einer Langsschnittstudie 326 Personen zweimal im Abstand von funf Jahren hinsichtlich ihrer sportlichen Aktivitat sowie ihrer habituellen Gesundheit. Die Ergebnisse von Cross-laggedpanel-Korrelationen deuten darauf hin, dass sich sportliche Aktivitat und habituelle Gesundheit gegenseitig beeinflussen. Die Einflusse von sportlicher Aktivitat auf die habituelle Gesundheit konnten dagegen im Rahmen von multivariat angelegten Strukturgleichungsmodellen nicht bestatigt werden. Effekte der habituellen Gesundheit auf sportliche Aktivitat jedoch durchaus. Weitere Drittvariablen wurden miteinbezogen – das Alter einer Person zeigt nur indirekte Einflusse uber die habituelle Gesundheit auf sportliche Aktivitat. Die Ergebnisse zeugen von einem komplexen Zusammenhang zwischen sportlicher Aktivitat und habitueller Gesundheit, der sich auf unterschiedlichen Wegen und Ebenen manifestiert und durch verschiedene Wirkmechanismen erklaren lasst.

Factors of Home Dream Recall and Nightmare Frequency in a Non-Student Sample

Home dream recall frequencies and nightmare frequencies show great inter-individual differences. Most of the studies trying to explain these differences, however, studied young participants, so these findings might not be true for persons older than 25 years. The present study investigated the relationship between dream recall, nightmare frequency, age, gender, sleep parameters, stress, and subjective health in a community-based sample (N = 455) with a mean age of about 55 years. Some of the factors that have been shown to be associated with dream recall and nightmare frequency were also associated with these variables in non-student sample like frequency of nocturnal awakenings, current stress, and tiredness during the day. We were not able to replicate the effect of sex-role orientation on dream recall and nightmare frequency, supporting the idea that age might mediate the effect of daytime variables on dream recall and nightmare frequency. As nightmare frequency was related to sleep quality, stress, health problems, and tiredness during the day, it would be desirable that clinicians include a question about nightmares in their anamneses.