Association Between Health Beliefs and Health Behavior in Early Pregnancy

Bödecs, Tamás; Horváth, Beáta; Szilágyi, Enikő; Németh, M.; Sándor, János

doi:10.1007/s10995-010-0698-0

Cited by 10 publications

(3 citation statements)

References 34 publications

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“…In the total sample, the overall frequency of all types of health-related behavior (the total score on HRBI) was found to be positively related to both internal, powerful others and chance HLC, strikingly, with the highest correlation coefficients for powerful others HLC. This finding questions the universality of the claim that external HLC should be linked to unfavorable outcomes in health-related behavior [38], [39]. In this context, it is interesting to note that some studies also reported the associations between powerful others HLC and desirable health-related behavior.…”

Section: Discussionmentioning

confidence: 91%

Health-Related Behavior, Profile of Health Locus of Control and Acceptance of Illness in Patients Suffering from Chronic Somatic Diseases

et al. 2013

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PurposeThe purpose of the study was to determine health-related behaviors, profile of health locus of control (HLC), and to assess the relationships between these constructs among patients suffering from chronic somatic diseases.Material and MethodsThree-hundred adult patients suffering from various chronic diseases participated in the study. The patients' mean age was 54.6 years (SD = 17.57).ResultsNo statistically significant differences were found between the different clinical groups in health-related behavior, acceptance of illness, internal HLC or chance HLC. Patients with neurologic conditions showed slightly lower powerful others HLC than did some other clinical groups. Health-related behavior was significantly positively related to all three categories of HLC, with most prominent associations observed with powerful others HLC. Only one type of health-related behavior – preventive behavior – correlated significantly and negatively with acceptance of illness. Differences in the frequency of health-related behavior were also found due to gender (women showing more healthy nutritional habits than men), age (older subjects showing more frequent health-promoting behavior), education (higher education was associated with less frequent health-promoting behavior) and marital status (widowed subjects reporting more frequent health-promoting behavior).ConclusionsHealth-related behavior in patients with chronic diseases seems to be unrelated to a specific diagnosis; however it shows associations with both internal and external HLC. Sociodemographic factors are also crucial factors determining frequency of health-related behavior in such patients.

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Section: Discussionmentioning

confidence: 91%

Health-Related Behavior, Profile of Health Locus of Control and Acceptance of Illness in Patients Suffering from Chronic Somatic Diseases

et al. 2013

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“…Importantly, pregnant women desire positive health messages around healthy eating and weight management during pregnancy, with a focus on what they can/should do, as opposed to what they should not do [ 40 ]. Advice can be incorporated into a locus of control model, whereby shifting health beliefs and health locus of control from external causes to internal dimensions may support healthy behavioral tendencies [ 41 ].…”

Section: Discussionmentioning

confidence: 99%

Eating Behaviors and Dietary Patterns of Women during Pregnancy: Optimizing the Universal ‘Teachable Moment’

et al. 2021

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Understanding women’s perceptions of eating behaviors and dietary patterns can inform the ‘teachable moment’ model of pregnancy. Our objectives were to describe eating behaviors and dietary patterns in pregnancy. This was a cross-sectional, national electronic survey. Women were ≥18 years of age, living in the United States, currently pregnant or less than two years postpartum, and had internet access. Age, education, race, and marriage were included as covariates in ordinal and binary logistic regressions (significance p < 0.05). Women (n = 587 eligible) made positive or negative changes to their diets, while others maintained pre-existing eating behaviors. The majority of women did not try (84.9 to 95.1% across diets) and were unwilling to try (66.6 to 81%) specific dietary patterns during pregnancy. Concerns included not eating a balanced diet (60.1 to 65.9%), difficulty in implementation without family (63.2 to 64.8%), and expense (58.7 to 60.1%). Helpful strategies included being provided all meals and snacks (88.1 to 90.6%) and periodic consultations with a dietitian or nutritionist (85 to 86.7%). Responses differed across subgroups of parity, body mass index, and trimester, notably in women with obesity who reported healthier changes to their diet (p < 0.05). Our study underscores the importance of tailoring care early to individual needs, characteristics, and circumstances.

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“…Because of the potential positive effects for the health of the woman and her neonate, pregnancy is an opportune time for probiotic use. Both beliefs and knowledge seem to strongly affect the mother’s behaviour [ 6 ]. Review of the literature shows that ingestion of probiotics (combination of strains of Lactobacillus and Bifidobacterium ) for a limited period of time during (late) pregnancy appears to be low risk, as it does not increase the rate of adverse pregnancy outcomes and seems to be well tolerated [ 30 ].…”

Section: Introductionmentioning

confidence: 99%

Maternal use of probiotics during pregnancy and effects on their offspring’s health in an unselected population

et al. 2015

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Probiotics are used by women in the perinatal period and may improve balance of microbiota, with possible health benefits for both mother and baby. Characteristics and (health) behaviour patterns of mothers using probiotics during pregnancy, and health effects on their offspring, were investigated. Differences between mothers using probiotics during pregnancy and those who did not, were assessed. In total, 341 out of 2491 (13.7 %) mothers reported use of probiotics during pregnancy. There were no significant differences in maternal features (gestation, age, ethnicity, education) between users and non-users. Logistic regression analyses showed that consumption of probiotics was significantly associated with use of homeopathic products [odds ratio (OR) 1.65, 95 % confidence interval (CI) 1.17–2.33, p = 0.005], maternal history of smoking (OR 1.72, 95 % CI 1.25–2.37, p = 0.001) and paternal history of smoking (OR 1.39, 95 % CI 1.01–1.89, p = 0.05). Common disease symptoms during the first year of life in the offspring did not differ between both groups.Conclusion: The use of probiotics or other health-related products without doctor’s prescription during pregnancy might point to compensation for types of less favourable behaviour. Probiotic use during pregnancy does not seem to induce positive health effects in the offspring in an unselected population. What is Known: • Aberrant microbiota compositions have been detected during critical periods when early programming occurs including pregnancy and early neonatal life. • Probiotics modulate intestinal microbiota composition and are associated with positive health effects. What is New: • The use of probiotics or other health-related products without doctor’s prescription during pregnancy is associated with and might point to compensation for types of less favourable behaviour. • Probiotic use during pregnancy does not induce positive health effects in the offspring in this unselected population.

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Association Between Health Beliefs and Health Behavior in Early Pregnancy

Cited by 10 publications

References 34 publications

Health-Related Behavior, Profile of Health Locus of Control and Acceptance of Illness in Patients Suffering from Chronic Somatic Diseases

Health-Related Behavior, Profile of Health Locus of Control and Acceptance of Illness in Patients Suffering from Chronic Somatic Diseases

Eating Behaviors and Dietary Patterns of Women during Pregnancy: Optimizing the Universal ‘Teachable Moment’

Maternal use of probiotics during pregnancy and effects on their offspring’s health in an unselected population

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