How is online self-reported weight compared with image-captured weight? A comparative study using data from an online longitudinal study of young adults

Whatnall, Megan; Kolokotroni, Katerina Z; Fozard, Therese; Evans, Tamla; Marwood, Jordan; Ells, Louisa; Burrows, Tracy

doi:10.1016/j.ajcnut.2023.05.029

Cited by 3 publications

(1 citation statement)

References 24 publications

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“…Participants were asked to report their height in meters and weight in kilograms. The self-reported weight is concordant with image-captured weight in web-based research [41]. The BMI was calculated by dividing their weight by the square of their height in meters.…”

Section: Clinical Parametersmentioning

confidence: 99%

Sex Differences in Clustering Unhealthy Lifestyles Among Survivors of COVID-19: Latent Class Analysis

Le,

Hoang,

Nguyen

et al. 2024

JMIR Public Health Surveill

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Background The COVID-19 pandemic has underscored the significance of adopting healthy lifestyles to mitigate the risk of severe outcomes and long-term consequences. Objective This study focuses on assessing the prevalence and clustering of 5 unhealthy lifestyle behaviors among Vietnamese adults after recovering from COVID-19, with a specific emphasis on sex differences. Methods The cross-sectional data of 5890 survivors of COVID-19 in Vietnam were analyzed from December 2021 to October 2022. To examine the sex differences in 5 unhealthy lifestyle behaviors (smoking, drinking, unhealthy diet, physical inactivity, and sedentary behavior), the percentages were plotted along with their corresponding 95% CI for each behavior. Latent class analysis was used to identify 2 distinct classes of individuals based on the clustering of these behaviors: the “less unhealthy” group and the “more unhealthy” group. We examined the sociodemographic characteristics associated with each identified class and used logistic regression to investigate the factors related to the “more unhealthy” group. Results The majority of individuals (male participants: 2432/2447, 99.4% and female participants: 3411/3443, 99.1%) exhibited at least 1 unhealthy behavior, with male participants being more susceptible to multiple unhealthy behaviors. The male-to-female ratio for having a single behavior was 1.003, but it escalated to 25 for individuals displaying all 5 behaviors. Male participants demonstrated a higher prevalence of combining alcohol intake with sedentary behavior (949/2447, 38.8%) or an unhealthy diet (861/2447, 35.2%), whereas female participants tended to exhibit physical inactivity combined with sedentary behavior (1305/3443, 37.9%) or an unhealthy diet (1260/3443, 36.6%). Married male participants had increased odds of falling into the “more unhealthy” group compared to their single counterparts (odds ratio [OR] 1.45, 95% CI 1.14-1.85), while female participants exhibited lower odds (OR 0.65, 95% CI 0.51-0.83). Female participants who are underweight showed a higher likelihood of belonging to the “more unhealthy” group (OR 1.11, 95% CI 0.89-1.39), but this was not observed among male participants (OR 0.6, 95% CI 0.41-0.89). In both sexes, older age, dependent employment, high education, and obesity were associated with higher odds of being in the “more unhealthy” group. Conclusions The study identified notable sex differences in unhealthy lifestyle behaviors among survivors of COVID-19. Male survivors are more likely to engage in unhealthy behaviors compared to female survivors. These findings emphasize the importance of tailored public health interventions targeting sex-specific unhealthy behaviors. Specifically, addressing unhealthy habits is crucial for promoting post–COVID-19 health and well-being.

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Section: Clinical Parametersmentioning

confidence: 99%

Sex Differences in Clustering Unhealthy Lifestyles Among Survivors of COVID-19: Latent Class Analysis

Le,

Hoang,

Nguyen

et al. 2024

JMIR Public Health Surveill

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The weight management practices and support needs of young adults living with excess weight in the UK and Australia: A mixed methods cross-sectional study using data from the YOUTH cohort

Evans,

Marwood,

Kolokotroni

et al. 2024

Preprint

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Background Young adulthood is a critical period where there is an increased weight gain trajectory. Understanding the weight management support needs of young adults with excess weight is essential to enable the delivery of appropriate and tailored services and prevent the development of comorbidities. This study sought to determine the current health service usage, weight management practices and support needs, in young adults with excess weight. Methods A mixed-methods convergent parallel design was employed. A cohort of community-dwelling young adults (18–35 years), with excess weight (BMI ≥ 25), residing in the UK and Australia participated in an online, longitudinal survey. Cross-sectional data was analysed descriptively, including quantitative measures of health service usage and weight management practices. Responses to an open-ended question asking what support participants would find most helpful were analysed using Thematic Template Analysis. Convergence and divergence across sociodemographic characteristics were explored. Results The sample (n = 410) included 204 women, 201 men and five non-binary people with a mean age of 28.3 and BMI of 35.8. Most participants reported a white ethnicity (80%) and resided in the UK (83%). Half reported a below median gross household income (49%). Most (73%) reported currently trying to manage their weight and 63% were using commercial weight management products or self-directed diets. Only 12% of participants reported accessing healthcare services for weight management support or treatment, yet qualitative responses indicated a desire for support from a dietitian or psychologist. Five themes indicated a need for structured but tailored resources, simplicity, addressing internal and external barriers, access to holistic professional support, and access to networks vs a preference for self-reliance. Conclusions Young adults with excess weight are using commercial products and self-led diets but many desire specialist healthcare professionals to support their weight management. Young adults appear to prefer online resources and support that are simplistic, structured and individually tailored to their diverse cultural preferences, routines, environments, and comorbidities. Furthermore, findings indicate unmet psychological support needs amongst young adults with excess weight in the UK and Australia. Protocol Whatnall, M., Fozard, T., Kolokotroni, K.Z., Marwood, J., Evans, T., Ells, L.J. and Burrows, T., 2022. Understanding eating behaviours, mental health and weight change in young adults: protocol paper for an international longitudinal study. BMJ open, 12(9), p.e064963.

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Sex Differences in Clustering Unhealthy Lifestyles Among Survivors of COVID-19: Latent Class Analysis (Preprint)

Le,

Hoang,

Nguyen

et al. 2023

Preprint

View full text Add to dashboard Cite

BACKGROUND The COVID-19 pandemic has underscored the significance of adopting healthy lifestyles to mitigate the risk of severe outcomes and long-term consequences. OBJECTIVE This study focuses on assessing the prevalence and clustering of 5 unhealthy lifestyle behaviors among Vietnamese adults after recovering from COVID-19, with a specific emphasis on sex differences. METHODS The cross-sectional data of 5890 survivors of COVID-19 in Vietnam were analyzed from December 2021 to October 2022. To examine the sex differences in 5 unhealthy lifestyle behaviors (smoking, drinking, unhealthy diet, physical inactivity, and sedentary behavior), the percentages were plotted along with their corresponding 95% CI for each behavior. Latent class analysis was used to identify 2 distinct classes of individuals based on the clustering of these behaviors: the “less unhealthy” group and the “more unhealthy” group. We examined the sociodemographic characteristics associated with each identified class and used logistic regression to investigate the factors related to the “more unhealthy” group. RESULTS The majority of individuals (male participants: 2432/2447, 99.4% and female participants: 3411/3443, 99.1%) exhibited at least 1 unhealthy behavior, with male participants being more susceptible to multiple unhealthy behaviors. The male-to-female ratio for having a single behavior was 1.003, but it escalated to 25 for individuals displaying all 5 behaviors. Male participants demonstrated a higher prevalence of combining alcohol intake with sedentary behavior (949/2447, 38.8%) or an unhealthy diet (861/2447, 35.2%), whereas female participants tended to exhibit physical inactivity combined with sedentary behavior (1305/3443, 37.9%) or an unhealthy diet (1260/3443, 36.6%). Married male participants had increased odds of falling into the “more unhealthy” group compared to their single counterparts (odds ratio [OR] 1.45, 95% CI 1.14-1.85), while female participants exhibited lower odds (OR 0.65, 95% CI 0.51-0.83). Female participants who are underweight showed a higher likelihood of belonging to the “more unhealthy” group (OR 1.11, 95% CI 0.89-1.39), but this was not observed among male participants (OR 0.6, 95% CI 0.41-0.89). In both sexes, older age, dependent employment, high education, and obesity were associated with higher odds of being in the “more unhealthy” group. CONCLUSIONS The study identified notable sex differences in unhealthy lifestyle behaviors among survivors of COVID-19. Male survivors are more likely to engage in unhealthy behaviors compared to female survivors. These findings emphasize the importance of tailored public health interventions targeting sex-specific unhealthy behaviors. Specifically, addressing unhealthy habits is crucial for promoting post–COVID-19 health and well-being.

show abstract

How is online self-reported weight compared with image-captured weight? A comparative study using data from an online longitudinal study of young adults

Cited by 3 publications

References 24 publications

Sex Differences in Clustering Unhealthy Lifestyles Among Survivors of COVID-19: Latent Class Analysis

Sex Differences in Clustering Unhealthy Lifestyles Among Survivors of COVID-19: Latent Class Analysis

The weight management practices and support needs of young adults living with excess weight in the UK and Australia: A mixed methods cross-sectional study using data from the YOUTH cohort

Sex Differences in Clustering Unhealthy Lifestyles Among Survivors of COVID-19: Latent Class Analysis (Preprint)

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