Predictors and consequences of health anxiety symptoms: a novel twin modeling study

López-Solà, Clara; Bui, Minh; Hopper, John L.; Fontenelle, Leonardo F.; Davey, Charles; Pantelis, Christos; Alonso, Pino; Heuvel, Odile A. van den; Harrison, BJ

doi:10.1111/acps.12850

Cited by 12 publications

(10 citation statements)

References 52 publications

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“…This thought can lead to overall tension in the body, muscle stiffness, increased blood pressure and other physiological consequences connected to increased cortisol and amylase levels [6]. Being under stress may be expressed by physiological symptoms such as stress, trembling, dizziness, and rapid heartbeat [7]. The longer individuals are in this state, the worse the consequences for cognitive abilities are.…”

Section: Introductionmentioning

confidence: 99%

Determinants of anxiety levels among young males in a threat of experiencing military conflict–Applying a machine-learning algorithm in a psychosociological study

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Zikrach²,

Mosler

et al. 2020

PLoS ONE

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Background Anxiety could be felt even in objectively peaceful situations, but a vision of conflict could result in increased stress levels. In this article, we aimed to identify hidden patterns of mental conditions and create male profiles to illustrate the different subgroups as well as determinants of anxiety levels among them in accordance with proximity to a possibility of direct exposure to military action. Methods A sample of Ukrainian males, in duty as conscripts to military service (n = 392, M±SD = 22.1±5.3) participated in a survey. We used the 36-Item Short Form Health Survey, and State-Trait Anxiety Inventory. In addition to psychological indices, social-demographic data were collected. To discover the number of clusters, the k-means algorithm was used, the optimal number of clusters was found by the elbow algorithm. For validation of the model and its use for further prediction, the random forest machine-learning algorithm, was used. Results By performing k-means cluster analyses, 3 subgroups were identified. High values of psychological indices dominated in Subgroup 2, while lowest values dominated in Subgroup 3. Subgroup 1 showed a more even distribution among the indices. The strength of the relevance and main determinants of the prediction of the presented model mostly consisted of mental qualities, while socio-demographic data were slightly significant.

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Section: Introductionmentioning

confidence: 99%

Determinants of anxiety levels among young males in a threat of experiencing military conflict–Applying a machine-learning algorithm in a psychosociological study

Павлова

Zikrach²,

Mosler

et al. 2020

PLoS ONE

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“…We explored the causal inference between SES and obesity using Inference about Causation through Examination of FAmiliaL CONfounding (ICE FALCON), a statistical modeling approach used to obtain observational data for related individuals, particularly twin pairs (24‐27). ICE FALCON makes causal inference using the familial similarity of an exposure, which has similarities with bidirectional Mendelian randomization (28).…”

Section: Methodsmentioning

confidence: 99%

Education, income, and obesity: A nationwide Chinese twin study

Zheng

Gao

Cao

et al. 2022

Obesity

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Objective This study aimed to examine the association of socioeconomic status with obesity. Methods A total of 39,262 twin individuals were included from the Chinese National Twin Registry (CNTR). Generalized estimating equation models for unmatched twin individual analyses and conditional logistic regression for the co‐twin matched design were used. Inference about Causation through Examination of FAmiliaL CONfounding (ICE FALCON) was used to explore the evidence of a causal relationship. Results In general estimating equation models, high education level and income were associated with lower risk of obesity (odds ratio [OR] = 0.74 [95% CI: 0.65 to 0.84] and 0.86 [95% CI: 0.77 to 0.96]). In conditional logistic regression analysis, the association with education was significant (OR = 0.50 [95% CI: 0.34 to 0.74]) but the association with income was insignificant (OR = 0.74 [95% CI: 0.48 to 1.15]). From the ICE FALCON analysis, a twin’s obesity was associated with the co‐twin’s education and income. After adjusting for the twin’s own education, the association disappeared (βco ‐ twin′ = −0.10 [95% CI: −0.26 to 0.07]), whereas the twin’s obesity was still associated with the co‐twin’s income but attenuated toward the null (βco ‐ twin′ = −0.21 [95% CI: −0.36 to −0.06]). Conclusions Socioeconomic status is negatively associated with obesity. Education may have a causal effect on obesity, whereas the association between income and obesity is confounded by familial factors.

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“…Health anxiety (HA) is marked by worry or belief that one has contracted a life-threatening illness. An Australian twin study was conducted to assess the nature of the relationship between HA and anxiety and obsessive-compulsive symptoms (López-Solà et al, 2018). Participants were volunteer MZ twins enrolled in the Australian Twin Registry — 3,100 twins received a questionnaire by mail, with follow-up recruitment by telephone.…”

Section: Twin Study Of Health Anxietymentioning

confidence: 99%

Human Dizygotic Twinning: Evolutionary-Based Explanations/Twin Research Reviews: Conjoined Twins in a Triplet Pregnancy; Double Embryo Transfer; Health Anxiety; Delayed Delivery of the Second Twin/In the Media: Digital Marketing Twins; Bereaved Twin at March for Our Lives; Exchange of Places; Football Players Reunite as Patriots

Segal

2018

Twin Res Hum Genet

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Human twinning poses a conundrum for researchers, given that the female uterus is optimally designed to carry a single fetus. Evolutionary explanations of dizygotic (DZ or fraternal) twinning provide insight and understanding of this reproductive event. This review is followed by summaries of recent twin research and reports concerning twins in a triplet pregnancy, double embryo transfer; a twin study of health anxiety, and delayed delivery of the second twin. Twin events reported in the media include a pair of digital marketing twins, a speech by a bereaved twin at the March for Our Lives in Washington, D.C., twins who exchanged places, and a same-team reunion of twin football players. Human Dizygotic Twinning: Evolutionary-Based ExplanationsThe birth of twins in virtually all human populations poses an intriguing conundrum for researchers because the female uterus is optimally designed to carry a single fetus. Twin and other multiple birth pregnancies pose higher frequencies of serious physical and health hazards for both mothers (e.g., preeclampsia, delivery complications) and infants (e.g., immature lung development, growth retardation), relative to non-twin pregnancies (Segal, 2017). In the last several decades, evolutionary explanations of dizygotic (DZ or fraternal) twinning have provided new insights into this relatively rare event.It is also the case that twinning varies across human groups, with the world's highest rate occurring in Benin at

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Predictors and consequences of health anxiety symptoms: a novel twin modeling study

Cited by 12 publications

References 52 publications

Determinants of anxiety levels among young males in a threat of experiencing military conflict–Applying a machine-learning algorithm in a psychosociological study

Determinants of anxiety levels among young males in a threat of experiencing military conflict–Applying a machine-learning algorithm in a psychosociological study

Education, income, and obesity: A nationwide Chinese twin study

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