Socio-demographic and lifestyle factors associated with multimorbidity in New Zealand

Aminisani, Nayyereh; Stephens, Christine; Allen, Joanne; Alpass, Fiona; Shamshirgaran, Seyed Morteza

doi:10.4178/epih.e2020001

Cited by 24 publications

(61 citation statements)

References 20 publications

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“…Supporting these ndings, in a Canadian study population, the incidence of multimorbidity was higher in obese participants, but not in those with normal BMI [21]. Obesity and a lack of physical activity have previously been identi ed to be a signi cant predictor of multimorbidity in adults aged > 55 years in New Zealand [22]. Furthermore, in a cohort study from Iran, obese participants had an OR that was 2.33-fold higher than participants with a normal BMI [23].…”

Section: Discussionmentioning

confidence: 64%

A cross-sectional study investigating the relationship between handgrip strength with multimorbidity in Korean adults: Findings from the Korea National Health and Nutrition Examination Survey (KNHANES) VI-VII (2014–2017)

Lee

Jung

2020

Preprint

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Background To date research investigating the associations between handgrip strength and multimorbidity when stratifying by age and sex is limited. Furthermore, this is the first study in a Korean population, and the first to include adults ≥ 19 years of age. Here we investigated the associations between handgrip strength and multimorbidity in Korean adults aged ≥ 19 years. Methods In this cross-sectional study data from the Korean National Health and Nutrition Examination Survey were used. Multimorbidity was defined as having two or more chronic diseases. A total of 19,779 participants were eligible for the study (8,730 male and 11,409 female). We grouped and analysed participants based on age and sex (men and women aged 19–49 years, men and women aged 50–80 years) and examined the associations between handgrip strength and multimorbidity using multivariate logistic regressions using stratification by age, sex and body mass index (BMI). Results Multivariate logistic regressions revealed a significant inverse association irrespective of sex, between relative handgrip strength and multimorbidity. Participants with the lowest handgrip strength had a significantly higher odds ratio (OR) of multimorbidity (men aged 19–49 years: 3.76 and aged 50–80 years: 2.11; women aged 19–49 years: 1.52 and aged 50–80 years: 2.15) when compared to those with highest handgrip strength after adjusting for confounding variables. The highest OR was observed in men aged 19–49 years with a BMI ≥ 25 kg/m2. Conclusion In the current study we observed a significant inverse relationship between handgrip strength and multimorbidity in males and females with two or more chronic diseases. Male participants with a low handgrip strength aged between 19–49 years with a BMI ≥ 25 kg/m2 may be at greater risk of multimorbidity. This study highlights the need for further longitudinal studies to investigate the effects of increasing handgrip strength combined with weight loss, as an effective strategy to reduce the incidence of multimorbidity

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Section: Discussionmentioning

confidence: 64%

A cross-sectional study investigating the relationship between handgrip strength with multimorbidity in Korean adults: Findings from the Korea National Health and Nutrition Examination Survey (KNHANES) VI-VII (2014–2017)

Lee

Jung

2020

Preprint

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“…Only five of the 14 studies reported an overall IR in addition to group-specific rates. 109 , 121 , 123 , 126 , 132 Across studies reporting incidence, the median (unadjusted) incidence rate was 30.7 per 1,000 person-years (IQR 39.5 per 1,000 person-years) and the median (unadjusted) cumulative incidence was 2.8% (IQR 28.7%). Incidence rates ranged from 1.26 to 342 per 1,000 person-years.…”

Section: Resultsmentioning

confidence: 99%

“…Most studies did not stratify IRs by sex, with only one reporting IRs among male and female participants separately 130 ; this study reported a higher IR among women than in men. Of the 11 studies reporting race and/or ethnicity, five reported incidence rate(s) stratified by race and/or ethnicity, 109 , 112 , 123 , 129 , 132 one adjusted incidence rates for race and/or ethnicity, 136 and two presented both adjusted overall and stratified incidence rate(s) by race and/or ethnicity. 129 , 130 Two studies consisting solely of South and East Asian ethnicities (Malay, Chinese, and Indian) 110 , 112 reported higher IRs than the remaining studies reporting IRs in White, Non-White, Black/African-American, Hispanic, and Māori populations.…”

Section: Resultsmentioning

confidence: 99%

The incidence of multimorbidity and patterns in accumulation of chronic conditions: A systematic review

Kudesia

Salimarouny

Stanley

et al. 2021

Journal of Multimorbidity and Comorbidity

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Multimorbidity, the presence of 1+ chronic condition in an individual, remains one of the greatest challenges to health on a global scale. Although the prevalence of multimorbidity has been well-established, its incidence is not fully understood. This systematic review determined the incidence of multimorbidity across the lifespan; the order in which chronic conditions accumulate to result in multimorbidity; and cataloged methods used to determine and report accumulation of chronic conditions resulting in multimorbidity. Studies were identified by searching MEDLINE, Embase, CINAHL, and Cochrane electronic databases. Two independent reviewers evaluated studies for inclusion and performed quality assessments. Of 36 included studies, there was high heterogeneity in study design and operational definitions of multimorbidity. Studies reporting incidence (n = 32) reported a median incidence rate of 30.7 per 1,000 person-years (IQR 39.5 per 1,000 person-years) and a median cumulative incidence of 2.8% (IQR 28.7%). Incidence was notably higher for persons with older age and 1+ chronic conditions at baseline. Studies reporting patterns in accumulation of chronic conditions (n = 5) reported hypertensive and heart diseases, and diabetes, as among the common starting conditions resulting in later multimorbidity. Methods used to discern patterns were highly heterogenous, ranging from the use of latent growth trajectories to divisive cluster analyses, and presentation using alluvial plots to cluster trajectories. Studies reporting the incidence of multimorbidity and patterns in accumulation of chronic conditions vary greatly in study designs and definitions used. To allow for more accurate estimations and comparison, studies must be transparent and consistent in operational definitions of multimorbidity applied.

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“…The multimorbidity measure has further limitations. Although it is a standard approach that has been used in other studies of multimorbidity [45,[80][81][82], this dichotomized variable does not account for the severity, complexity, or duration of the chronic conditions studied. Second, independent variables were limited to the variables available in NHIS.…”

Section: Discussionmentioning

confidence: 99%

Prevalence of Multimorbidity among Asian Indian, Chinese, and Non-Hispanic White Adults in the United States

Zhang

Misra

Sambamoorthi

2020

IJERPH

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Asian Americans are the fastest-growing minority group in the United States, yet little is known about their multimorbidity. This study examined the association of Asian Indians, Chinese and non-Hispanic whites (NHWs) to multimorbidity, defined as the concurrent presence of two or more chronic conditions in the same individual. We used a cross-sectional design with data from the National Health Interview Survey (2012–2017) of Asian Indians, Chinese, and NHWs (N = 132,666). Logistic regressions were used to examine the adjusted association of race/ethnicity to multimorbidity. There were 1.9% Asian Indians, 1.8% Chinese, and 96.3% NHWs. In unadjusted analyses (p < 0.001), 17.1% Asian Indians, 17.9% Chinese, and 39.0% NHWs had multimorbidity. Among the dyads, high cholesterol and hypertension were the most common combination of chronic conditions among Asian Indians (32.4%), Chinese (41.0%), and NHWs (20.6%). Asian Indians (AOR = 0.73, 95% CI = (0.61, 0.89)) and Chinese (AOR = 0.63, 95% CI = (0.53, 0.75)) were less likely to have multimorbidity compared to NHWs, after controlling for age, sex, and other risk factors. However, Asian Indians and Chinese were more likely to have high cholesterol and hypertension, risk factors for diabetes and heart disease.

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Socio-demographic and lifestyle factors associated with multimorbidity in New Zealand

Cited by 24 publications

References 20 publications

A cross-sectional study investigating the relationship between handgrip strength with multimorbidity in Korean adults: Findings from the Korea National Health and Nutrition Examination Survey (KNHANES) VI-VII (2014–2017)

A cross-sectional study investigating the relationship between handgrip strength with multimorbidity in Korean adults: Findings from the Korea National Health and Nutrition Examination Survey (KNHANES) VI-VII (2014–2017)

The incidence of multimorbidity and patterns in accumulation of chronic conditions: A systematic review

Prevalence of Multimorbidity among Asian Indian, Chinese, and Non-Hispanic White Adults in the United States

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